rajeev.cse's picture
Prof. Rajeev Srivastava
Professor and Dean (Resource and Alumni Affairs )
Department of Computer Science and Engineering
rajeev.cse@iitbhu.ac.in
+91-542-716-5320
Area of Interest: 
Image Processing, Computer Vision, Pattern Recognition, Machine Learning, Video Surveillance, Medical Image Analysis, and Design and Analysis of Algorithm

Academic Qualifications:
B.E. (Computer Engineering), M.E. (Computer Technology and Applications), Ph.D. (Computer Engineering)

Fellowships/Life Memberships of Professional Societies:

  • Fellow, Institution of Electronics and Telecommunication Engineers (India) (FIETE)
  • Fellow, Institution of Engineers (India) (FIEI)
  • Senior Member, IEEE, USA
  • Member, Association for Computing Machinery (ACM), USA
  • Life Member, Indian Society for Technical Education (LMISTE)

Teaching Experience: 23 Years

    Research Area:

    • Image Processing, Computer Vision, Pattern Classification, Video Surveillance.
    • Artificial Intelligence, Machine   Learning, Deep Learning, and related fields.  
    • Medical Image Processing and pattern recognition, Algorithms, Soft Computing.
    • Mathematical image modeling and analysis.

    Teaching Experience: 23+ Years 

    Courses Taught:

    Computer Graphics, Image Processing, Machine Vision/ Computer Vision, Pattern Recognition, Machine Learning, Multimedia and Applications,  Data Compression, Design and Analysis of Algorithms, Data Structures,  Operating System, Computer Organisation and Architecture,  Digital Circuits and Logic Design, Programming Languages, Parallel  and Distributed Computing, Simulation and Modeling, Distributed Databases, Robotic Vision, Artificial Intelligence.

    Courses Developed:

    Computer Graphics, Image Processing, Machine Vision/ Computer Vision, Pattern Recognition, Machine Learning, Multimedia and Applications,  Data Compression, Design and Analysis of Algorithms,  Digital Circuits and Logic Design, Programming Languages, Parallel  and Distributed Computing, Distributed Databases, Robotic Vision.

    Teaching Labs Developed:

    Computer Graphics, Image Processing, Machine Vision/ Computer Vision, Pattern Recognition, Machine Learning, Multimedia and Applications,  Data Compression, Design and Analysis of Algorithms, Data Structures,  Robotic Vision, Operating Systems.

    E-Contents Developed: Image Processing and Computer Vision.
     

    RESEARCH PAPERS IN INTERNATIONAL JOURNALS
    1. Santosh Kumar Tripathy, Harsh Kostha, Rajeev Srivastava, “TS-MDA: Two-Stream Multiscale Deep Architecture for Crowd Behavior Prediction”, Multimedia Systems, Springer. (Accepted, June 2022) (SCI IF: 1.935)
    2. Surya Kant Singh, Rajeev Srivastava, “CSA-Net: Deep Cross-complementary Self Attention  and Modality-Specific  Preservation for Saliency Detection”, Neural Processing Letters, Springer, May’2022 (Accepted). (SCI IF: 3.00)
    3. Singh, D., Srivastava, R. Multi-scale graph-transformer network for trajectory prediction of the autonomous vehicles. Intel Serv Robotics (2022). https://doi.org/10.1007/s11370-022-00422-w (Impact Factor -2.246) (Published: May 2022 )
    4. Surya Kant Singh and Rajeev Srivastava, ``A robust RGBD saliency method with improved probabilistic contrast and the global reference surface,'' Journal of The Visual Computer, ACM, 38 (3),  797–809, March’2022. https://doi.org/10.1007/s00371-020-02050-w (SCI-2.601)
    5. Tripathy, S.K., Sudhamsh, R., Srivastava, S. and Srivastava, R., MuST-POS: multiscale spatial-temporal 3D atrous-net and PCA guided OC-SVM for crowd panic detection. Journal of Intelligent & Fuzzy Systems, 42(4), pp. 3501-3516, March’ 2022. DOI: 10.3233/JIFS-211556. (SCI IF: 1.739) 
    6. Divya Singh, Rajeev Srivastava, “Graph Neural Network with RNNs based Trajectory Prediction of Dynamic Agents for autonomous vehicle”, Applied Intelligence, Springer (Feb’2022)) (SCI IF: 5.086) https://doi.org/10.1007/s10489-021-03120-9 
    7. Santosh Kumar Tripathy, Rajeev Srivastava, “AMS-CNN: Attentive Multi-Stream CNN for Video-based Crowd Counting”, International Journal of Multimedia Information Retrieval (MMIR), Springer, 10, pages 239–254 (Oct’2021). https://doi.org/10.1007/s13735-021-00220-7  (SCI IF: 3.205). 
    8. Divya Singh, Rajeev Srivastava, “Channel spatial attention based single-shot object detector for autonomous vehicles”, Multimed Tools Appl (Sept’2021). https://doi.org/10.1007/s11042-021-11267-3  (SCI IF 2.101). 
    9. Divya Singh, Rajeev Srivastava, “An end to end trained hybrid CNN model for multi-object tracking”, Multimedia Tools and Applications, Springer. (August’ 2021). (SCI IF: 2.101)
    10. Pratistha Verma, Rajeev Srivastava, “Reconsideration of Multi-stage Deep Network for Human Pose Estimation”, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis, 9 (6), 600-612 (April’ 2021).  https://doi.org/10.1080/21681163.2021.1902400
    11. Gargi Srivastava, Rajeev Srivastava, “Colon Tumour Localization using Three Input Variants to Faster R-CNN and Lazy Snapping”, International Journal of Imaging Systems and Technology, Wiley. 31 (4), 2123-2135, (Dec’ 2021) (SCI IF: 1.925).
    12. Gargi Srivastava, Rajeev Srivastava, “Annotation of Images using Local Binary Pattern and Local Derivative Pattern after Salient Object Detection Using Minimum Directional Contrast and Gradient Vector Flow”, Signal, Image and Video Processing (SIVP-an International Journal), Springer. Vol. 15, pages 861–869 (2021). (Published Online November’ 2020) (SCI IF: 1.824).
    13. Ankit Jaiswal, Rajeev Srivastava, “Forensic Image Analysis using Inconsistent Noise Pattern”, Pattern Analysis and Applications (PAAA-an International Journal), Springer. Vol. 24, pages 655–667 (2021) (Published Online November’ 2020) (SCI IF: 1.527).
    14. Ashish Kumar Sharma, Rajeev Srivastava, “Variable Length Character N-Gram Embedding of Protein Sequences for Secondary Structure Prediction”, Protein & Peptide Letters (An International Journal), Bentham Science Publishers. Volume 28, Issue 5 , pages 501 – 507,  2021 (Published June 2021) (SCIE IF: 1.156).
    15. Pratistha Verma, Rajeev Srivastava, “Three Stage Deep Network for 3D Human Pose Reconstruction by exploiting spatial and temporal data via its 2D Pose”, Journal of Visual Communication and Image Representation, Elsevier Sc., Volume 71, Article 102866. (Published August 2020) (SCI IF 2.479).
    16. Ankit Kumar Jaiswal, Rajeev Srivastava, “Time Efficient Spliced Image Analysis Using Higher-Order Statistics” Machine Vision and Applications (MVAP),   Springer, Vol.  31, Article No. 56  (Published August 2020). (SCI IF: 2.000).
    17. Pratistha Verma, Animesh Sah, Rajeev Srivastava, “Deep Learning based multi-modal approach using RGB and skeleton sequences for Human Activity Recognition”, Multimedia Systems Journal (MMSJ), Springer. Vol. 26, pp. 671–685 (August 2020). (SCI IF: 1.734)
    18. Santosh Kumar Tripathy, Rajeev Srivastava, “A Real-Time Two Input Stream Multi Column Multi Stage Convolution Neural Network (TIS-MCMS-CNN) for Efficient Crowd Congestion-Level Analysis”, Multimedia Systems Journal (MMSJ), Springer. Vol. 26, pp. 585–605 (July 2020). (SCI IF: 1.734)
    19. Roshan Singh, Rajeev Srivastava, “A Dual Stream Model for Activity Recognition: Exploiting Residual- CNN with Transfer Learning", Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor and Francis. Pages 28-38, DOI: 10.1080/21681163.2020.1805798 (Published August 2020).
    20. Ashish Kumar Sharma, Rajeev Srivastava, “Protein Secondary Structure Prediction using Character bi-gram Embedding and Bi-LSTM”, Current Bioinformatics Journal. Volume 16 , Issue 2 , 2021 (Accepted June 2020) (SCIE IF: 1.189). DOI : 10.2174/1574893615999200601122840
    21. Srivastava, Gargi, and Srivastava, “Design, Analysis and Implementation of Efficient Framework for Image Annotation”, ACM Transactions on Multimedia (ToMM). Vol. 16, No. 3, Article number 89 (July 2020). https://doi.org/10.1145/3386249
    22. Srivastava, Gargi, and Srivastava, “User Interactive Salient Object Detection using Yolov2, Lazy Snapping and Gabor Filters”, Machine Vision and Applications, Springer, 31, 17 (March 2020). https://doi.org/10.1007/s00138-020-01065-6 (March 2020) (SCI IF 2.000)
    23. Roshan Singh, Rajat Khurana, Alok Kumar Singh Kushwaha, Rajeev Srivastava, “Combining CNN Streams of Dynamic Image and Depth Data for Action Recognition”, Multimedia Systems, Springer, Berlin Heidelberg. Vol. 26, pp. 313–322 (January 2020). https://doi.org/10.1007/s00530-019-00645-5  (SCI IF 1.956)
    24. Singh, Suryakant, and Srivastava, Rajeev, “A robust salient object detection using edge enhanced global topographical saliency”, Multimedia Tools and Applications, Springer. Vol 79, pages17885–17902 (February 2020). (SCI IF 2.101)
    25. Srivastava, Gargi, and Srivastava, Rajeev, "An efficient modification of Generalized Gradient Vector Flow using Directional Contrast for Salient Object Detection and Intelligent Scene Analysis", Multimedia Tools and Applications, Springer. 79, 13599–13619 (January 2020).(SCI IF 2.101).
    26. Ankit Kumar Jaiswal, Rajeev Srivastava, “A Technique for Image Splicing Detection Using Hybrid Feature Set”, Multimedia Tools and Applications, 79, pages11837–11860 (January 2020). (SCI IF: 2.101) https://doi.org/10.1007/s11042-019-08480-6
    27. Roshan Singh, Ankur Sonawane, Rajeev Srivastava, “Recent evolution of modern datasets for human activity recognition: a deep survey”, Multimedia Systems, Springer Berlin Heidelberg, 26, pages 83–106 (2020), https://doi.org/10.1007/s00530-019- 00635-7 (SCI IF 1.956)
    28. Srivastava, Gargi, and Srivastava, Rajeev, “Salient object detection using background subtraction, Gabor filters, objectness and minimum directional backgroundness”, Journal of Visual Communication and Image Representation, Elsevier, Vol. 62, pp. 330–339, 2019. (SCI IF 2.259)
    29. Singh, Suryakant, and Srivastava, Rajeev, “A Novel Probabilistic Contrast-Based Complex Salient Object Detection, Journal of Mathematical Imaging and Vision, Springer, 61 (7), 990–1006 (2019) (SCI IF 1.926) (13.4.2019)
    30. Srivastava, Gargi, and Srivastava, Rajeev, “Modification of Gradient Vector Flow using Directional Contrast for Salient Object Detection, IEEE Multimedia, 26 (4), 7- 16, 2019. (SCI IF 3.556)
    31. Rajeev Srivastava and Kuntesh K. Jani, “A Survey on Medical Image Analysis in Capsule Endoscopy”, Current Medical Imaging, 15 (7), 622-636 (2019). (SCI)
    32. Kuntesh K. Jani, S. Srivastava, Rajeev Srivastava “Computer aided diagnosis system for ulcer detection in capsule endoscopy using optimized feature set”, Journal of Intelligent & Fuzzy Systems, IOS Press, 37: 1491-1498, 2019. (SCI IF 1.637). 
    33. Kuntesh K. Jani, Animesh Anand, S. Srivastava and Rajeev Srivastava, “Automatic abnormality detection system for capsule endoscopy”, Journal of Information Science and Engineering, Taiwan. Vol. 36 No. 5, pp. 955-966 (Nov 2019). SCIE (0.525).
    34. Kuntesh K. Jani, S. Srivastava and Rajeev Srivastava, “Computer-Aided Diagnosis for Capsule Endoscopy: From Inception to Future”, International Journal of Recent Technology and Engineering, ISSN: 2277-3878, Volume-8 Issue-4, November 2019. (Scopus).
    35. Singh, Roshan, Jagwinder Kaur Dhillon, Alok Kumar Singh Kushwaha, and Rajeev Srivastava. "Depth based enlarged temporal dimension of 3D deep convolutional network for activity recognition." Multimedia Tools and Applications, 78, 30599– 30614 (2019).
    36. Singh, Roshan, Alok Kumar Singh Kushwaha, and Rajeev Srivastava. "Multi-view recognition system for human activity based on multiple features for video surveillance system." Multimedia Tools and Applications, 78, 17165–17196 (2019).
    37. Singh, N. P. and Srivastava, R. “Extraction of retinal blood vessels by using an extended matched filter based on second derivative of Gaussian”, Proceedings of the National Academy of Sciences, India Section A: Physical Sciences (An international Journal), Springer, June 2019, Volume 89, Issue 2, pp 269–277. (SCI 0.681). 
    38. Singh, Vibhav Prakash, and Rajeev Srivastava. "Improved image retrieval using fast Colour-texture features with varying weighted similarity measure and random forests." Multimedia Tools and Applications, 77 (11):14435–14460, 2018, Springer. (SCI IF 2.101)
    39. Singh, Vibhav Prakash, and Rajeev Srivastava. "Automated and effective content-based mammogram retrieval using wavelet based CS-LBP feature and self-organizing map." Biocybernetics and Biomedical Engineering, Elsevier, 38(1): 90-105, 2018. (SCI IF: 2.159)
    40. Garg, Shivam, and Rajeev Srivastava. "Object sequences: encoding categorical and spatial information for a yes/no visual question answering task." IET Computer Vision 12(8):1141-1150, 2018. (SCI IF 1.648 )
    41. Singh, Vibhav Prakash, and Rajeev Srivastava. "Effective image retrieval based on hybrid features with weighted similarity measure and query image classification." International Journal of Computational Vision and Robotics 8(2): 98-121, 2018.
    42. Singh, Vibhav Prakash, Subodh Srivastava, and Rajeev Srivastava. "Automated and effective content-based image retrieval for digital mammography." Journal of X-ray Science and Technology, 26 (1): 29-49, 2018. (SCI IF1.03)
    43. Vibhav Prakash Singh, Subodh Srivastava, Rajeev Srivastava, “Effective Mammogram Classification Based on Center Symmetric-LBP features in Wavelet Domain Using Random Forest Classifier”, Technology and Healthcare, official journal of the European Society for Engineering and Medicine, Vol. 25 (4), pp. 709-727, 2017. DOI: 10.3233/THC-170851, 2018 (SCI-0.724).
    44. Arvind Tiwari, Rajeev Srivastava, “An efficient approach for prediction of nuclear receptor and their subfamilies based on fuzzy k-nearest neighbor with maximum relevance minimum redundancy", Proceedings of the National Academy of Sciences, India Section A: Physical Sciences (An International Journal), Springer, 88, pages129– 136(2018) (SCI IF .681)
    45. Singh, Vibhav Prakash, Ashim Gupta, and Rajeev Srivastava. "Fast and effective image retrieval using colour and texture features with self-organising map." International Journal of Computational System Engineering, Inderscience UK , 3(3): 133-143, 2017.
    46. Vibhav Prakash Singh, Yashankit Shikhar and Rajeev Srivastava , “Comparative Analysis of Distance Metrics for Designing an Effective Content-Based Image Retrieval System Using Colour and Texture Features”, International Journal of Image, Graphics and Signal Processing, MECS press Hong Kong, 12: 58-65, 2017.(DBLP)
    47. Vibhav Prakash Singh, Rajeev Srivastava, “Content-Based Mammogram Retrieval Using Wavelet based Complete-LBP and K-means Clustering for the Diagnosis of Breast Cancer”, International Journal of Hybrid Intelligent System, IOS Press, 14 (1-2), pp. 31- 39, 2017. (DBLP)
    48. Rajesh Kuamr, Subodh Srivastava, Rajeev Srivastava, A Fourth order PDE based Fuzzy C- Means approach for Segmentation of Microscopic biopsy images in presence of Poisson noise for cancer detection, Computer Methods and Programs in Biomedicine, Elsevier, Volume 146, July 2017, Pages 59–68. (SCI IF: 1.862).
    49. Rajesh Kumar, Subodh Srivastava, Rajeev Srivastava “Microscopic biopsy image segmentation using hybrid color k-means approach”, International Journal of Computer Vision and Image Processing (IJCVIP), Vol. 7, No. 1, Article 5, pp. 82-94, January’ 2017 (Indexed in ACM Digital Library, DBLP).
    50. RB Yadav, Subodh Srivastava, Rajeev Srivastava, “Identification and removal of different categories of noises from magnetic resonance image using hybrid partial differential equation based filter”, International Journal of Digital Signals and Smart Systems, Inderscience, UK, 1(2), 2017. (DOI 10.1504/IJDSSS.2017.088050).
    51. RB Yadav, Subodh Srivastava, Rajeev Srivastava, "A partial differential equation-based general framework adapted to Rayleigh’s, Rician’s and Gaussian’s distributed noise for restoration and enhancement of magnetic resonance image", Journal of Medical Physics, Vol. 41, Issue 4, pp. 254-265, 2016. DOI: 10.4103/0971- 6203.195190.
    52. Shailendra Tiwari, Rajeev Srivastava, “A Probabilistic Patch based hybrid framework for CT/PET Image Reconstruction”, Smart Innovation, Systems and Technologies, Springer Verlag Publication LNCS, Vol 43, Chapter 33, 2015. (Indexed in Scopus).
    53. Nagendra Pratap Singh, Rajeev Srivastava, “Retinal blood vessels segmentation by using Gumbel Probability Distribution Function based matched filter”, Computer Methods and Programs in Biomedicine, Elsevier (Science Direct), 129, 40–50, June’ 2016. (SCI IF: 1.897).
    54. Vibhav Prakash Singh, Ayush Srivastava, Devang Kulshrestha, Arpit Chaudhury, Rajeev Srivastava,  "Mammogram Classification  using  selected  GLCM features and random forest classifier", International Journal of Computer Science and Information Security, USA, Vol. 14, No. 6, pp. 82-87, June'2016.
    55. Alok Kumar Singh Kushwaha, and Rajeev Srivastava, “A Framework for Moving Object Segmentation using Dynamic Background Modeling and Shadow Suppression in Complex Wavelet Domain”, Imaging Science Journal, Taylor and Francis, UK, Vol. 64, Issue 5, pp. 267-278. (SCI)
    56. Alok Kumar Singh Kushwaha, Subodh Srivastava, and Rajeev Srivastava, “Multi-View Human Activity Recognition Based on Silhouette and Uniform Rotation Invariant Local Binary Patterns”, Multimedia Systems, Springer, pp  1-17,  March’  2016,  ISSN: 0942-4962 (Print) 1432-1882 (Online) (SCI IF: 0.619), doi: 10.1007/s00530- 016-0505-x.
    57. Nagendra Pratap Singh, Rajeev Srivastava, “ Segmentation of retinal blood vessels by using a matched filter based on second derivative of Gaussian” , International Journal of Biomedical Engineering and Technology (IJBET), Inderscience, U.K., 21 (3), 229- 246, 2016.
    58. Vibhav Prakash Singh, Subodh Srivastava, Rajeev Srivastava, "An Efficient Image Retrieval  Based  on   Fusion   of   Fast   Features   and   Query   Image Classification,” International Journal of Rough Sets and Data Analysis (IJRSDA), IGI Global, USA, 4 (1), pp. 19-37 , April' 2016.
    59. R.B. Yadav, Subodh Srivastava, Rajeev Srivastava, “Modified complex diffusion based nonlinear filter for restoration and enhancement of magnetic resonance images”, International Journal of BioMedical Engineering and Technology (IJBET), Inderscience, UK. (In Scopus and DBLP), Vol. 23, No. 1, pp. 19-37 , January 2017.
    60. Alok K. Singh Kushwaha, Rajeev Srivastava, “Automatic moving object segmentation methods under varying illumination conditions for video data: Comparative study, and an improved method”, Multimedia Tools and Applications, Springer, pp. 1-56, 2015, doi:10.1007/s11042-015-2927-4 (Published). (SCI Impact Factor: 2.101).
    61. Alok K. Singh Kushwaha, Rajeev Srivastava,” A Framework for Dynamic Background Modeling and Shadow Suppression for Moving Object Segmentation in Complex Wavelet   Domain”,   Journal   of   Electronic   Imaging,    SPIE,    24(5)    051005 doi: 10.1117/1.JEI.24.5.051005. (SCI Impact Factor: 0.929).
    62. Alok K. Singh Kushwaha, Rajeev Srivastava, "Multiview human activity recognition system based on spatio-temporal template for a video surveillance system," Journal of Electronic Imaging, SPIE, 24(5), 051004 (2015). doi: 10.1117/1.JEI.24.5.051004 (SCI Impact Factor: 0.929).
    63. Alok K. Singh Kushwaha, Rajeev Srivastava, “Maritime Object Segmentation using Dynamic Background Modeling and Shadow Suppression”, The Computer Journal, Section-C: Computational Intelligence, Machine Learning and Data Analytics, Oxfords, UK. Nov, 2015. doi: 10.1093/comjnl/bxv091 (SCI Impact Factor: 0.980).
    64. Alok K. Singh Kushwaha, Rajeev Srivastava, “A Framework of Moving Object Segmentation in Maritime Surveillance inside a Dynamic Background”, Transactions on Computational Science XXV Springer, LNCS 9030, pp. 35–54, 2015. (In Scopus, DBLP).
    65. Rajesh Kumar, Rajeev Srivastava and Subodh Srivastava, “Detection and Classification of Cancer from Microscopic Biopsy Images using Clinically Significant and Biologically   Interpretable   Features”,   Journal   of   Medical    Engineering,  Volume 2015 (2015),  Article ID 457906, 14 pages.
    66. Rajesh Kumar, Rajeev Srivastava, “Cancer detection from Microscopic Biopsy Images using Image Processing and Pattern Recognition Tools: A Review”, Journal of Medical Imaging and Health Informatics, USA, 5, 877-892 (2015) (SCI Impact Factor: 0.642).
    67. Shailendra Tiwari, Rajeev Srivastava, “An OSEM based hybrid-cascaded framework for PET/SPECT Image Reconstruction”, International Journal of Biomedical and Engineering and Technology (IJBET), InderScience Publications, UK, Vol. 18, No. 4, pp. 310-332, 2015. (In Scopus).
    68. Shailendra Tiwari, Rajeev Srivastava, “A Hybrid-Cascaded Iterative Framework for Positron Emission Tomography and Single-Photon Emission Computed Tomography Image Reconstruction”, Journal of Medical Imaging & Health Informatics (JMIHI), American Scientific Publishers, USA, 2015, (SCI Impact Factor: 0.642).
    69. Arvind Kumar Tiwari, Rajeev Srivastava, “An efficient approach for the prediction of ion channels and their subfamilies”, Computational Biology and Chemistry (An International Journal), Elsevier Sc. (Science Direct), July 2015 pp. 205-221 DOI information: 10.1016/j.compbiolchem.2015.07.002 (SCI Impact Factor: 1.581).
    70. Arvind Kumar Tiwari and Rajeev Srivastava, “A Survey of Computational Intelligence Techniques in Protein Function Prediction,International Journal of Proteomics, Vol. 2014, Article ID 845479, 22 pages, 2014. doi:10.1155/2014/845479.
    71. Bhavna Srivastava, Rajeev Srivastava, and Mahesh Jangid, “A hybrid model for optimum gene selection and classification”, International Journal of Medical Engineering and Informatics (IJMEI), Vol. 7, No. 4, 2015
    72. S. Srivastava, N. Sharma, S.K. Singh, and Rajeev Srivastava, “Quantitative analysis of a general framework of a CAD tool for breast cancer detection from mammograms”, Journal of Medical Imaging and Health Informatics, Volume 4, Number 5, October 2014, pp. 654-674(21) (SCI Impact Factor: 0.642).
    73. S. Srivastava, N. Sharma, S.K. Singh, and Rajeev Srivastava, "A combined approach for the enhancement and segmentation of mammograms using modified fuzzy C-means method in wavelet domain", Journal of Medical Physics, Vol 39, Isuue 3, pp. 169-183, May'2014. (In PubMed).
    74. Himanshu Gupta, Rajeev Srivastava, “k-means based document clustering with automatic “k” selection and cluster refinement”, International Journal of Computer Science and Mobile Applications, Vol.2 Issue. 5, May- 2014, pp. 7-13. ISSN (online): 2321-8363.
    75. Harshit Sharan, Abhinay Agrawal, Rajeev Srivastava, “A Context Based Cross Domain Collaborative Filtering Approach in Folksonomies”, International Journal of Engineering Research and Technology (IJERT), ISSN: 2278-0181, IJERTV3IS041728, Vol. 3 Issue 4, April – 2014, pp. 1519-1524.
    76. Rajeev Srivastava, and S. Srivastava, “Restoration of Poisson noise corrupted digital images with nonlinear PDE based filters along with the choice of regularization parameter estimation”, Pattern Recognition Letters, Vol. 34, Issue 10, pp. 1175-1185, 15 July 2013. (Impact Factor: 1.551).
    77. Srivastava, S., Sharma, N., Singh, S.K. and Srivastava, R. (2013) ‘Design, analysis and classifier evaluation for a CAD tool for breast cancer detection from digital mammograms’, Int. J. Biomedical Engineering and Technology, Vol. 13, No. 3, pp.270–300. (Nov’2013).
    78. Rajeev Srivastava, “Restoration and enhancement of astronomical images using hybrid adaptive nonlinear complex diffusion-based filter “, Defence Science Journal, Vol. 62, No. 6, pp. 437-442, November 2012.
    79. S. Srivastava, Rajeev Srivastava, N. Sharma et al., “A nonlinear complex diffusion based filter adapted to Rayleigh’s speckle noise for de-speckling ultrasound  images”, International Journal of Biomedical Engineering and Technology (IJBET), Inderscience Publications, UK., Vol. 10, No. 2, pp.101–117, 2012.
    80. S. Srivastava, Rajeev Srivastava, N. Sharma et al., “A Fourth-order PDE based Nonlinear Filter for Speckle Reduction from Optical Coherence Tomography (OCT) Images”, International Journal of Biomedical Engineering and Technology (IJBET), Inderscience Publications, UK., Vol. 10, No. 1, pp.55–69, 2012.
    81. Rajeev Srivastava, J.R.P. Gupta and Harish Parthasarathy, “A non-linear Complex Diffusion based Edge and Structure Preserving Zooming Technique for MRI and Ultrasound Images” , International Journal of Biomedical Engineering and Technology (IJBET), Inderscience Publications, Vol. 6, No. 2, pp 178- 199, 2011.
    82. Rajeev Srivastava, J.R.P. Gupta, Harish Parthasarthy and Subodh Srivastava” An adaptive nonlinear PDE based speckle reduction technique for ultrasound images”, International Journal of Biomedical Engineering and Technology (IJBET), Inderscience Publishers, Vol. 6, No. 3, pp 304-322, 2011.
    83. Rajeev Srivastava, J.R.P. Gupta and Harish Parthasarathy, “Enhancement and Restoration of Microscopic Images Corrupted with Poisson’s Noise using a Nonlinear Partial Differential Equation-based Filter”, Defence Science Journal, Vol. 61, No. 5, September 2011, pp. 452-461. (SCI Impact factor: 0.304).
    84. Rajeev Srivastava, J.R.P. Gupta and Harish Parthasarathy, “Comparison of PDE based and other techniques for speckle reduction from digitally reconstructed holographic images”, Optics and Lasers in Engineering (An International Journal), Elsevier Science (Science Direct), Vol. 48, pp. 626-635, 2010.  (SCI Impact factor: 4.059).
    85. Rajeev Srivastava, Harish Parthasarathy, J.R.P. Gupta and D. Roy Choudhary, “Brownian Motion based image modelling and its applications to image regularization”, Journal of Scientific Research, BHU, India, Vol.53, 2009, pp 207-215, ISSN: 0447-9483.
    86. Rajeev Srivastava,   Harish   Parthasarathy   and   J.R.P.   Gupta,   “PDE   Based Image Processing: Current Trends and Future Directions of Research”, ITS Journal of IT and Management, Vol. 7, No.2, pp 14-22, July 2009.

     
     
    Books:
     

    1. Rajeev Srivastava. Partial Differential Equation based Image Processing and Applications. LAMBERT Academic Publishing, Germany, January' 2013, ISBN: 978- 3-659-31211-3.
    2. Rajeev Srivastava, S. K. Singh, K. K. Shukla (Editors). Research Developments in Computer Vision and Image Processing: Methodologies and Applications. IGI Global, USA, (September’ 2013).
    3. Rajeev Srivastava, S. K. Singh, K. K. Shukla (Editors). Research Developments in Biometrics and Video Processing Techniques. IGI Global, USA. ( December’ 2013).
    4. Nagendra Pratap Singh, Rajeev Srivastava. Intensity based medical image registration, LAMBERT Academic Publishing, Germany, August’ 2017, ISBN: 978- 3-659-81777-9.

     
    Editor, Conference Proceedings
    Proceedings of International Conference on Artificial Intelligence and Applications ICAIA 2020, Springer Nature Singapore Pte Ltd. 2021
    Editors: Poonam Bansal, Meena Tushir, Valentina Emilia Balas, and Rajeev Srivastava
    ISSN 2194-5357 ISSN 2194-5365 (electronic) Advances in Intelligent Systems and Computing ISBN 978-981-15-4991-5 ISBN 978-981-15-4992-2 (eBook) https://doi.org/10.1007/978-981-15-4992-2
     
     Book Chapters:

    1. Srivastava R., Gupta J.R.P., Parthasarthy H., Srivastava S. (2009) PDE Based Unsharp Masking, Crispening and High Boost Filtering of Digital Images. In: Ranka S. et al. (eds) Contemporary Computing. IC3 2009. Communications in Computer and Information Science, vol 40. Springer, Berlin, Heidelberg.
    2. Srivastava R., Gupta J.R.P. (2010) A PDE-Based Nonlinear Filter Adapted to Rayleigh’s Speckle Noise for De-speckling 2D Ultrasound Images. In: Ranka S. et al. (eds) Contemporary Computing. IC3 2010. Communications in Computer and Information Science, vol 94. Springer, Berlin, Heidelberg.
    3. Rajeev Srivastava (2012) PDE-based image processing: Image restoration. In   Umesh C. Pati (ed.) 3-D Surface Geometry and Reconstruction: Developing Concepts and Applications. Information Science Reference, IGI Global, USA, Chapter No: 3, pp. 49- 89.
    4. Rajeev  Srivastava  (2012)  Restoration  and  Enhancement  of   digitally  reconstructed holographic images. In Aamir Saeed Malik, Tae-Sun Choi  and  Humaira Nisar (eds.) Depth Map and 3D Imaging Applications: Algorithms and Technologies. Information Science Reference. IGI Global, USA, Chapter No: 6, pp. 105-120.
    5. Rajesh Kumar, Rajeev Srivastava (2013) Detection of Cancer from Microscopic Biopsy Images Using Image Processing Tools. In R. Srivastava, S. K. Singh, K. K. Shukla (eds)    Research    Developments    in    Computer    Vision    and    Image  Processing: Methodologies and Applications, IGI Global (formerly Idea Group Inc.), USA, pp. 175-194.
    6. Shailendra Tiwari, Rajeev Srivastava (2013) Research and Developments in Medical Image Reconstruction Methods and its Applications. In R. Srivastava, S. K. Singh, K.K. Shukla (eds) Research Developments in  Computer  Vision  and  Image  Processing: Methodologies and Applications, IGI Global (formerly Idea Group Inc.), USA, pp. 274-312
    7. Alok Kumar Singh, Rajeev Srivastava (2013) Recognition of Humans and Their Activities for video Surveillance. In R. Srivastava, S. K. Singh, K. K. Shukla (eds) Research Developments in Biometrics and Video Processing Technique, IGI Global (formerly Idea Group Inc.), USA, Chapter 9, pp. 183-198.
    8. Singh N.P., Srivastava R. (2017) Weibull Probability Distribution Function-Based Matched Filter Approach for Retinal Blood Vessels Segmentation. In: Sahana S., Saha S. (eds) Advances in Computational Intelligence. Advances in Intelligent Systems and Computing, vol 509, pp 427-437, Springer, Singapore.
    9. Tiwari S., Srivastava R., Arya K.V. (2017) A Nonlinear Modified CONVEF-AD Based Approach for Low-Dose Sinogram Restoration. In: Raman B., Kumar S., Roy P.,  Sen D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 459, pp. 57-68. Springer, Singapore.
    10. Kushwaha, A. K., & Srivastava, R. (2018). Recognition of Humans and Their Activities for Video Surveillance. In I. Management Association (Ed.), Computer Vision: Concepts, Methodologies, Tools, and Applications (pp. 2290-2306). Hershey, PA: IGI Global. doi:10.4018/978-1-5225-5204-8.ch100
    11. Srivastava G., Srivastava R. (2018) A Survey on Automatic Image Captioning. In: Ghosh D., Giri D., Mohapatra R., Savas E., Sakurai K., Singh L. (eds) Mathematics and Computing. ICMC 2018. Communications in Computer and Information Science, vol 834, pp. 74-83. Springer, Singapore.
    12. Jain V., Bansal P., Singh A.K., Srivastava R. (2018) Efficient Single Image Super Resolution Using Enhanced Learned Group Convolutions. In: Cheng L., Leung A., Ozawa S. (eds) Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science, vol 11306, pp. 466-475. Springer, Cham.
    13. Singh V.P., Srivastava R. (2018) Improved Content-Based Image Classification Using a Random Forest Classifier. In: Bhatia S., Mishra K., Tiwari S., Singh V. (eds) Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, vol 554, pp. 365-376. Springer, Singapore.
    14. Jaiswal A.K., Srivastava R. (2019) Copy-Move Forgery Detection Using Shift- Invariant SWT and Block Division Mean Features. In: Khare A., Tiwary U., Sethi I., Singh N. (eds) Recent Trends in Communication, Computing, and Electronics. Lecture Notes in Electrical Engineering, vol 524, pp. 289-299. Springer, Singapore.
    15. Srivastava G., Srivastava R. (2019) An Improved Active Contour Model for Salient Object Detection Using Edge Cues. In: Khare A., Tiwary U., Sethi I., Singh N. (eds) Recent Trends in Communication, Computing, and Electronics. Lecture Notes in Electrical Engineering, vol 524, pp. 365-375. Springer, Singapore.
    16. Jani K., Srivastava R. (2020) Data Reduction Technique for Capsule Endoscopy. In: Tanwar S., Tyagi S., Kumar N. (eds) Multimedia Big Data Computing for IoT Applications. Intelligent Systems Reference Library, vol 163, pp. 269-285. Springer, Singapore.
    17. P. Kumar, S. Srivastava and R. Srivastava (2021) Basic Understanding of Medical Imaging Modalities. In: S. Saxena and Sudip Paul (eds.) High Performance Medical Image Processing., CRC Press, Tyalor’s and Francis.
    18. Ashish Kumar Sharma and Rajeev Srivastava (2022) Encoder-Decoder Models for Protein Secondary Structure Prediction, In Mathematics and Computer Science, Volume 2: Industrial Applications by Scrivener Publishing, USA. 
    19. Tripathy S.K., Srivastava R. (2021) A Transfer Learning-Based Multi-cues Multi-scale Spatial–Temporal Modeling for Effective Video-Based Crowd Counting and Density Estimation Using a Single-Column 2D-Atrous Net. In: Bajpai M.K., Kumar Singh K., Giakos G. (eds) Machine Vision and Augmented Intelligence—Theory and Applications. Lecture Notes in Electrical Engineering, vol 796. Springer, Singapore. https://doi.org/10.1007/978-981-16-5078-9_16.

     

    Research Publications in International/ National CONFERENCES 
    1. Santosh Kumar Tripathy and Rajeev Srivastava, “A Novel Deep Architecture for Multi-Task Crowd Analysis”, 2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 8-10 July 2022, IEEE Banglore Chapter, Banglore. (Accepted, June 2022).
    2. Surya Kant Singh and Rajeev Srivastva, “Holistic Features  and Deep Guided Depth   Induced Mutual Attention based Complex Salient Object Detection”, International Conference on Data Science and Artificial Intelligence (ICDSAI 2022), IIT Patna and NITIE Mumbai, April 23-24, 2022. (Accepted).
    3. Santosh Kumar Tripathy, Rajeev Srivastava, “Crowd counting via De-background Multicolumn Dynamic Convolutional Neural Network”,1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA– 2022), Kolkata, March 26th – 27th, 2022. 
    4. Surya Kant Singh, Rajeev Srivastava, “CCL-Net: Complete Comprehensive Learning and Modality Preserving based RGBD Complex Salient Object Detection” 4th International Conference on Machine Intelligence and signal Processing (MISP 2022), virtual mode during March 12-14, 2022, Department of Computer Science and Engineering, National Institute of Technology Raipur. 
    5. Ashish Kumar Sharma, Rajeev Srivastava, “Encoder-Decoder Models for Protein Secondary Structure Prediction” International Conference on EMERGING TRENDS IN MATHEMATICAL SCIENCES AND COMPUTING (IEMSC-22) Organised by Department of Basic Science and Humanities, Institute of Engineering & Management, Kolkata, 04-06th February 2022. 
    6. Santosh Kumar Tripathy, Rajeev Srivastava, “Exploiting Low-level Spatial Encoded Temporal Features For Multi Task Crowd Analysis”, International Conference on Artificial Intelligence: Theory & Applications (AITA-2021), 23-24 December’2021, NIT Patna.
    7. Divya Singh, Rajeev Srivastava, “Instance Segmentation Based on Densely Supervised Multi-Scale Object Detector for Autonomous Vehicles”, International Conference on Artificial Intelligence: Theory & Applications (AITA-2021), 23-24 December’2021, NIT Patna.
    8. Roshan Singh and Rajeev Srivastava, “Some Contemporary Approaches for Human Activity Recognition: A Survey”, IEEE International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control" (PARC 2020), GLA University, Mathura, India, February 28th-29th, 2020.
    9. Ankit Kumar Jaiswal, Dhanin Gupta, Rajeev Srivastava, “Detection of Copy-Move Forgery Using Hybrid approach of DCT and BRISK” 7th International conference on Signal Processing and Integrated Networks (SPIN) (2020). Amity University, Noida, (27-28 February 2020) (Scopus Indexed).
    10. Ankit Kumar Jaiswal, Rajeev Srivastava, “Copy Move Forgery Detection Using Shift Invariant SWT and Block Division Mean Features”, International Conference on Emerging Trends in Communication, Computing and Electronics (IC3E-2018) . JK Institute of Applied Physics and technology, Allahabad, (13-15 April 2018) Springer (Scopus Indexed) .In Recent Trends in Communication, Computing, and Electronics, pp. 289-299. Springer, Singapore, 2019.
    11. Ankit Kumar Jaiswal, Rajeev Srivastava, “Image Splicing Detection using Deep Residual Network” 2nd International conference on Advanced Computing and Software Engineering  (2019). KNIT,  Sultanpur,  (8-9  February  2019).  Available at  SSRN 3351072 (2019).
    12. Vikas Mehta, Ankit Kumar Jaiswal, Rajeev Srivastava, “Copy-Move Image Forgery Detection using DCT and ORB Feature Set” 2nd International conference on Futuristic Trends in Networks and Computing Technologies (2019). CDAC Mohali. (22-23 November 2019)  (Scopus Indexed)
    13. Pratishtha Verma and Rajeev Srivastava, “Detect and Estimate: Simple and Efficient baseline for Human Pose Estimation”, International Conference on Artificial Intelligence and Speech Technology (AIST 2019), Indira Gandhi Delhi Technical University of Women, Delhi, 14th - 15th November, 2019.
    14. Kuntesh Jani, Rajeev Srivastava, Subodh Srivastava, “Computer aided medical image analysis for capsule endoscopy using conventional machine learning and deep learning”, 7th International Conference on Smart Computing & Communications (ICSCC), Malaysia, 28-30 June’ 2019.
    15. Kuntesh Jani, Rajeev Srivastava, Subodh Srivastava, “Computer aided medical image analysis for capsule endoscopy using multi-class classifier”, IEEE 5th International Conference I2CT, Pune, 29-31 March’2019.
    16. Srivastava, Gargi, and Rajeev Srivastava. "A Survey on Automatic Image Captioning." In International Conference on Mathematics and Computing, pp. 74-83. Springer, Singapore, 2018. Jan 9-11,2018.
    17. Singh, Vibhav Prakash, and Rajeev Srivastava. "Improved Content-Based Image Classification Using a Random Forest Classifier." In Advances in Computer and Computational Sciences, pp. 365-376. Springer, Singapore, 2018. International Conference on Computer, Communication and Computational Sciences (ICCCCS- 2016), 12-13 August’ 2016, Ajmer, Rajasthan.
    18. Jain, Vandit, Prakhar Bansal, Abhinav Kumar Singh, and Rajeev Srivastava. "Efficient Single Image Super Resolution Using Enhanced Learned Group Convolutions." In International Conference on Neural Information Processing, ICONIP 2018, pp. 466-475. Springer, Cham, 2018. 13-16 Dec’ 2018, Combodia. 
    19. Srivastava, Gargi, and Rajeev Srivastava. "An Improved Active Contour Model for Salient Object Detection Using Edge Cues." In Recent Trends in Communication, Computing, and Electronics, pp. 365-375. Springer, Singapore, 2019. 
    20. Singh N.P., Srivastava R. (2017) Weibull Probability Distribution Function-Based Matched Filter Approach for Retinal Blood Vessels Segmentation. In: Sahana S., Saha S. (eds) Advances in Computational Intelligence. Advances in Intelligent Systems and Computing, vol 509. Springer, Singapore.
    21. Ayush Shrivastava, Arpit Chaudhary, Devang Kulshreshtha, Vibhav Prakash Singh and Rajeev Srivastava, “Content-Based Mammogram Retrieval Using k-means Clustering and Local Binary Pattern”, 2017 2nd International Conference on Image, Vision and Computing (ICIVC), Chengdu, China, 2-4 June 2017, IEEE Xplore. DOI: 10.1109/ICIVC.2017.7984633
    22. Ayush Shrivastava, Arpit Chaudhary, Devang Kulshreshtha, Vibhav Prakash Singh and Rajeev Srivastava, “ Automated Digital Mammogram Segmentation using Dispersed Region Growing and Sliding Window Algorithm ”, ”, 2017 2nd International Conference on Image, Vision and Computing (ICIVC), Chengdu, China, 2-4 June 2017, IEEE Xplore. DOI: 10.1109/ICIVC.2017.7984579.
    23. Vibhav Prakash Singh and Rajeev Srivastava, “Improved Image Retrieval Using Colour-Invariant Moment”, IEEE 3rd International Conference on Computational intelligence and communication technology (CICT-2017), ABES, Ghaziabad, 9-10 Feb 2017. IEEE Xplore DOI: 10.1109/CIACT.2017.7977378.
    24. Tiwari S., Srivastava R., Arya K.V. (2017) A Nonlinear Modified CONVEF-AD Based Approach for Low-Dose Sinogram Restoration. In: Raman B., Kumar S., Roy P., Sen D. (eds) Proceedings of International Conference on Computer Vision and Image Processing (IIT Roorkee), 10-12 Sep’ 2017. Advances in Intelligent Systems and Computing, vol 459. Springer, Singapore.
    25. Vibhav Prakash Singh, Shivoam Malhotra, Rajeev Srivastava, Combining Hybrid Information Descriptors and DCT for improved CBIR performance, IEEE Sponsored 2nd International Conference on Control Computing Communication and Materials (ICCCCM-2016),     21-22     October,     2016,     Allahabad.      IEEE      Xplore. DOI: 10.1109/ICCCCM.2016.7918219.
    26. R.B. Yadav, Subodh Srivastava, Rajeev Srivastava, “An efficient PDE-Based nonlinear filter adapted to Rician noise for restoration and enhancement of magnetic resonance images”, India International Conference on Information Processing (IICIP 2016), held at Delhi Technological University, Delhi, India during August 12-14, 2016. IEEE Xplore. DOI: 10.1109/IICIP.2016.7975339
    27. Alok Kumar Singh Kushwaha and Rajeev Srivastava. Article: A Framework for Human Activity Recognition using Pose Feature for Video Surveillance System. IJCA Proceedings on National Conference on Next Generation Technologies for e-Business, e-Education and e-Society NGTBES 2016(1):1-4, July 2016.
    28. Ishan Agarwal, Alok K. Singh Kushwaha, Rajeev Srivastava, “Weighted Fast Dynamic Time Warping Based Multi-View Human Activity Recognition Using a RGB-D Sensor”, 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), NCVPRIPG 2015, IIT Patna. IEEE Explore. DOI: 10.1109/NCVPRIPG.2015.7490046. 16-19 Dec 2015.
    29. Vibhav Singh, Ashim Gupta, Shubham Singh, and Rajeev Srivastava, “An Efficient Content  Based  Image  Retrieval  for  Normal  and  Abnormal   Mammograms”,  IEEE UPCON-2015, IIIT Allahabad, 4-6 Dec 2015. IEEE Explore. DOI: 10.1109/UPCON.2015.7456733
    30. Shailendra Tiwari, Rajeev Srivastava, “An Efficient and Modified Median Root Prior based Framework for PET/SPECT reconstruction Algorithm”, 2015 Eighth International Conference on Contemporary Computing (IC3), IC3 2015 JIIT, Noida, August 20-22’ 2015.  IEEE Explore, DOI: 10.1109/IC3.2015.7346643.
    31. Shailendra Tiwari, Rajeev Srivastava, “A Probabilistic Patch based hybrid framework for  CT/PET  Image  Reconstruction”,  International  Conference  on  Signal Processing and Communication, (ICACNI-2015), June. 23-25, 2015 KIIT, Smart Innovation, Systems and Technologies Springer Verlag Publication LNCS, Vol 43, Chapter 33. (Indexed in Scopus).
    32. Shailendra Tiwari, Rajeev Srivastava, “A Hybrid-Cascaded Framework for MLEM based Image Reconstruction”, International Conference on Signal Processing and Communication, (ICSC 2015), Mar. 16-18, 2015 JIIT, Noida, IEEE Explore Signal Processing       and       Communication       Society,       pp. 285       –       290,      DOI 10.1109/ICSPCom.2015.7150663. ISBN 978-1-4799-6760-5.
    33. Shailendra Tiwari, Rajeev Srivastava, “On the evaluation and selection of Priors for MLEM based CT and PET image reconstruction”, International Conference on Emerging Trends in Information Technology (ICETIT-2015), February 21-22, 2015 Babasaheb Bhimrao Ambedkar Univesrity (BBAU), Central University, Lucknow.
    34. Arvind Kumar Tiwari, Rajeev Srivastava, Shailendra Tiwari “Machine learning based approach for the prediction of voltage gated ion channels and their subfamilies”. In the International Conference on Emerging Trends in Information Technology (ICETIT- 2015).
    35. Arvind Kumar Tiwari, Rajeev Srivastava “Feature based classification of nuclear receptors and their subfamilies using fuzzy k-nearest neighbor”.In The international conference on advances  in  computer  engineering  and  applications(ICACEA-  2015), IEEE Explore. 19-20 March 2015.
    36. Vibhav Prakash Singh, Rajeev Srivastava “Design & Performance Analysis of Content Based Image Retrieval System Based on Image Classification Using Various Feature Sets”, International Conference on Futuristic Trends in Computational analysis and Knowledge management” (A-BLAZE 2015) to be held during Feb 25- 27, 2015 at Amity University, Greater Noida, IEEE Xplore.
    37. Shailendra Tiwari, Rajeev Srivastava, “A PDE based Expectation Maximization algorithm adapted to Poisson noise for Medical Image Reconstruction”, IEEE International Symposium on Signal Processing and Information Technology (ISSPIT- 2014), Dec. 15-17, 2014 JIIT, Noida. IEEE Explore, Signal Processing Society.
    38. Shailendra Tiwari, Rajeev Srivastava, “An Efficient Hybrid- Cascaded Framework for Emission Computed Tomography using OSEM Image Reconstruction Algorithm”, International Conference on Recent cognizance in wireless communication & image processing, (ICRCWIP 2014), POORNIMA UNIVERSITY- Jaipur, India.Springer Publication LNCS., 16-17 Jan’ 2014.
    39. Bhavna Srivastava, Rajeev Srivastava, and Mahesh Jangid, “Filter vs. Wrapper approach for optimum gene selection of high dimensional gene expression dataset: An analysis with cancer datasets”, In Proc: 2014 International Conference on High Performance Computing and Applications (ICHPCA-2014), CV Raman College of Engineering, Bhuvaneshwar, 22-24 Dec’2014. IEEE Explore.
    40. Nagendra Pratap Singh, Rajesh Kumar, Rajeev Srivastava, “Fast Retinal blood vessels Extractions by modifying Gaussian Shaped Matched Filter” In Proc: IEEE International conference on computing ,communication and automation(ICCCA 2015) 15-16 May,2015 , Galgotia university ,Uttar Pradeh ,India.
    41. Alok K. Singh Kushwaha, Rajeev Srivastava, “A Framework for Moving Object Segmentation under Rapidly Changing Illumination Conditions in Complex Wavelet Domain,” Futuristic Trends in Computational analysis and Knowledge management (Accepted), Feb 25-27, 2015 at Amity University, Greater Noida, India.
    42. Alok K. Singh Kushwaha, Rajeev Srivastava, “Performance Evaluation of Various Moving Object Segmentation Techniques for Intelligent  Video  Surveillance  System,” In Proc: IEEE International Conference on Signal Processing & Integrated Networks   (SPIN   2014),   20-21  Feb’2014,  Noida,    India,    pp.    196-201.    (DOI: 10.1109/SPIN.2014.6776947).
    43. Alok K. Singh Kushwaha, Rajeev Srivastava, “Complex Wavelet Based Moving Object Segmentation using Approximate Median Filter Based Method for Video Surveillance,” In Proc: 4th IEEE International Advanced Computing Conference, Gurgaon, India, 21-22 Feb’ 2014, pp. 973-978. (DOI: 10.1109/IAdCC.2014. 6779455).
    44. Alok K. Singh Kushwaha, Rajeev Srivastava, “Human Activity Recognition Using Object Silhouettes for Automatic Video Surveillance System,” In Proc: International Conference on Recent cognizance in wireless communication & image processing- ICRCWIP-2014.
    45. Shailendra Tiwari, Rajeev Srivastava, “Review and Comparative Analysis of Medical Image Reconstruction Algorithms”, National Conference on Present Scenario and Future Trends in Biomedical Engineering and Healthcare  Technologies (FTBH 2014), Oct. 17-18, 2014, School of Biomedical Engineering, IIT (BHU), Varanasi, U.P.
    46. Rajesh Kumar, Rajeev Srivastava, “Segmentation and detection of abnormal cells from microscopic biopsy images using Shape based features”, In proc: National Conference on Present scenario and future trends in biomedical engineering and health care technologies, (FTBH 2014), School of Biomedical engineering, IIT(BHU), Varanasi, pp. 14-20, October 17-18, 2014.
    47. Rajesh Kumar, Rajeev Srivastava “Some observations on the performance of segmentation Algorithms for microscopic biopsy images” In proc: International conference on modeling and simulation of diffusive processes and applications, (ICMSDPA-2014), Department of Mathematics, Banaras Hindu University,Varanasi, pp. 16-22, October, 29-31, 2014.
    48. Kriti Singh, Rajeev Srivastava, Vibhav Prakash Singh “An Introductory survey on Content Based Image Retrieval”, National Conference on Present Scenario and Future Trends in Biomedical Engineering and Healthcare technologies(FTBH 2014), Oct. 17- 18, 2014, School of Biomedical Engineering, IIT (BHU), Varanasi, U.P.
    49. Vibhav Prakash Singh, Rajeev Srivastava, Neeraj Kumar “Multistage Ensemble Classification for Gene Expression Data of Cancer Using Correlated Informative Features”,  International      Conference      on      Communications,  (ICRCWIP 2014), POORNIMA UNIVERSITY- Jaipur, India. Springer Publication LNCS.
    50. Bhavna Srivastava, Rajeev Srivastava, Mahesh Jangid, “Comparative analysis of Filter vs. Wrapper approach for optimum gene selection of high dimensional gene expression data set: An analysis with cancer datasets”, 5th International Conference on Stem Cells and Cancer (ICSCC-2014): Proliferation, Differentiation & Apoptosis, 8 - 10 November, 2014, New Delhi.
    51. Bhavna Srivastava , Rajeev Srivastava, “Optimum gene selection, classification and analysis of high dimensional ovarian cancer dataset”, In Proc: 3rd International Conference on Biomedical Engineering and Assistive Technologies (BEATS-2014), 14-15 Feb’2014, Chandigarh, India, pp. 117-122.
    52. Rajesh Kumar, Rajeev Srivastava, “Evaluation of Segmentation Algorithms for Microscopic Biopsy Images”, In Proc: IEEE International Conference on Signal Processing & Integrated Networks (SPIN 2014), 20-21 Feb’2014, Noida, India.
    53. Alok K. Singh Kushwaha, Rajeev Srivastava, “Performance Evaluation of Various Moving Object Segmentation Techniques for Intelligent  Video  Surveillance  System,” In Proc: IEEE International Conference on Signal Processing & Integrated Networks (SPIN 2014), 20-21 Feb’2014, Noida, India, pp. 196-201. (DOI:10.1109/SPIN.2014.6776947).
    54. Alok K. Singh Kushwaha, Rajeev Srivastava, Complex Wavelet Based Moving Object Segmentation using Approximate Median Filter Based Method for Video Surveillance,” In Proc: 4th IEEE International Advanced Computing Conference, Gurgaon, India, 21-22 Feb’ 2014, pp. 973-978. (DOI: 10.1109/IAdCC.2014. 6779455).
    55. S. Tiwari and R. Srivastava, “ A Complex Diffusion Prior Based Bayesian Statistical Reconstruction Approach for Low-dose X–ray Computed Tomography”, ISBA Regional Meeting and International Workshop/Conference on Bayesian Theory and Applications (IWCBTA), Organized by DST Centre for Interdisciplinary Mathematical Sciences, Banaras Hindu University, BHU, Varanasi, Accepted, January 6-10, 2013.
    56. Ravi Prakash Meena, Rajeev Srivastava, “Evaluation of Image Segmentation Algorithm  for   Digital   Images”,   International   Congress   On Innovative Trends  in Information Technologies and Computing Sciences for Competitive World Order (ITITCSCWO – 2013) , 2nd-3rdMarch 2013, Jawaharlal Nehru University, New Delhi.
    57. Rajeev Srivastava, Shailendra Tewari, “Comparative Analysis of the Filtered Backprojection and Algebraic Image Reconstruction Algorithms”, National Conference on Mathematical Modeling and Computer Simulation (MMCS-2012), Dept. of Applied Mathematics, ITBHU, Varanasi, 23-25 March’2012.
    58. S. Srivastava, N. Sharma, S.K. Singh, and R. Srivastava, “Analysis of image segmentation techniques in the design of a CAD tool for early breast cancer detection from mammograms”, International Conference on Artificial Intelligence and Soft Computing (AISC-2012), 7-9 December’2012, IIT-BHU, Varanasi.
    59. S. Srivastava, N. Sharma, R. Srivastava and S.K. Singh, “Restoration of digital mammographic images corrupted with quantum noise using an adaptive Total Variation (TV) based nonlinear filter” , In Proc. 2012 IEEE International Conference on Communications, Devices and Intelligent Systems (CODIS-12), Jadavpur University, Kolkata, 28-29, Dec’2012, pp 125-128.
    60. Rajeev Srivastava, “Restoration of Poisson noise corrupted image in SAR imagery using a nonlinear PDE based filter”,In Proc. National Conference on Artificial Intelligence and Agents: Theory and Applications (AIATA-2011), Dept. of Computer Engineering, ITBHU, 09-11 Dec’2011.
    61. Shailendra Tewari, Rajeev Srivastava, “Image Reconstruction in Medical Imaging: An Overview”, In Proc. National Conference on Artificial Intelligence and Agents: Theory and Applications (AIATA-2011), Dept. of Computer Engineering, ITBHU, 09- 11 Dec’2011.
    62. Rajeev Srivastava, "A Complex Diffusion based Nonlinear Filter for Speckle Reduction from Optical Coherence Tomography Images,” In Proc: International Conference on Communication, Computing & Security (ICCCS-2011), Rourkela, India, 12-14, February-2011, pp 259-264, ACM , ISBN-978-1-4503-0464-1.
    63. Rajeev Srivastava,” Restoration of fluorescence microscopic images using a nonlinear PDE based filter,” In Proc: IEEE INDICON-2010, Kolkata, pp-1-4, 2010. Dec 17-19, 2010.
    64. Rajeev Srivastava and J.R.P. Gupta, “A Fourth-order PDE based Nonlinear Filter for Speckle Reduction from Optical Coherence Tomography (OCT) Images,” ICVGIP- 2010, IIT Chennai (Accepted as Poster Paper). 12-15 Dec’2010.
    65. Rajeev  Srivastava  and   J.R.P.   Gupta,   “A   PDE-based   nonlinear   filter   adapted to Rayleigh’s speckle noise for de-speckling 2D ultrasound images,” In Proc: International Conference on contemporary computing ( IC3-2010), Noida, CCIS-94, pp 1-12, Springer- Berlin Heidelberg, ISSN 1865-0929, 2010. August 9-11, 2010.
    66. Rajeev   Srivastava,   JRP   Gupta,    D.    Roy    Choudhury and    Subodh  Srivastava, “Restoration of Digital Images from a Reverse Heat Equation and its parallel implementation using MPIs”, National Conference and Workshop on High Performance Computing (HPCA’2010), BHU, Varanasi, February 08-10, 2010.
    67. Rajeev Srivastava, Harish Parthasarthy, J.R.P. Gupta and D. Roy Choudhary, “Image Restoration   from   motion   blurred   image    using    PDEs    formalism”,    In    Proc: IEEE International Conference on Advanced Computing (IACC’09), 06-07 March’2009, Patiala, India, pp. 61-64, ISBN: 978-981-08-2465-5, DOI: 0.1109/IADCC.2009.4808981.
    68. Rajeev Srivastava, J.R.P. Gupta, Harish Parthasarthy and Subodh Srivastava, PDE based   Unsharp   Masking,    Crispening    and    High    Boost    Filtering    of   Digital images”, International Conference  on  Contemporary  Computing  (IC3- 2009), Noida, India, August 17-19,2009. Proc: Communications in Computer and Information    Science, CCIS     40,     pp     8-13, Springer Berlin     Heidelberg, 2009. ISSN: 1865-0929 (Print) 1865-0937 (Online), DOI: 10.1007/978-3-642-03547- 0_2.
    69. Rajeev Srivastava, J.R.P. Gupta, Harish Parthasarthy, ”Complex Diffusion Based Speckle Reduction from Digital Images,” IEEE International Conference on Methods and Models in Computer Science (ICM2CS-09) , pp 43-49, December 14-15, 2009, Jawaharlal Nehru University, New Delhi, India.
    70. Rajeev Srivastava, Harish Parthasarthy,  J.R.P.  Gupta  and  Subodh  Srivastava,  “PDE based homomorphic filtering for  reducing  speckle  noise  from  digital images”, Second International Conference on Advances in Computer Vision and Information Technology, (ACVIT-2009),December 16-19,2009,Aurangabad.
    71. Rajeev Srivastava, J.R.P. Gupta and Harish Parthasarthy, ”A PDE- based mathematical model for  speckle  reduction  from  B-scan  Ultrasound  images”,  Presented  at XXVth Conference of the Mathematical Society , BHU, Varanasi, December 22-24, 2009.
    72. Rajeev Srivastava, Harish Parthasarthy, J.R.P. Gupta, ”PDE Based Image Processing: Current Trends and Future Directions of Research”, In Proceedings of National Seminar on impact of I.T. on society, ITS Ghaziabad, February 09th, 2008,pp 1- 08,ISBN: 81-89547-41-0.
    73. Rajeev Srivastava, Harish Parthasarthy, J.R.P. Gupta and D. Roy Choudhary, “Implementation and Performance analysis of PDE based image de-noising techniques”, Presented at National Conference and Workshop on High Performance Computing (HPCA’2008), BHU, Varanasi, February 25-27, 2008.
    74. Rajeev Srivastava, Harish Parthasarthy, J.R.P. Gupta and D. Roy Choudhary, “Some observations on the PDEs of Mathematical Physics and its Applications to Image Processing”, Presented at XXIVth Annual Conference of the Mathematical Society , BHU, Varanasi, December 30-31, 2008.
    75. Rajeev Srivastava, “Design, Implmentation and performance analysis of a lifted wavelet based image codec”, National Conference on Pattern Recognition and Machine Intelligence, 10-11 February’ 2006, Karask Engineering College, Uppal, Hyderabad (Accepted).
    76. Rajeev Srivastava, “ Performance Analysis of a wavelet based image codec with and without lifting scheme”, National Conference on Soft Computing Techniques for Engineering Applications, 24-26 March, 2006, Dept. of Computer Science and Engineering, NIT, Rourkela.
    77. Rajeev Srivastava and K.S. Khokra, "Analysis and Performance Evaluation of Classification Algorithms in Data Mining," Joint 9th National Conference of Vigyan Parisad of India and Indian Society of Information Theory and Applications, NSIT, New Delhi, Feb.22-24 ,2002.
    78. Rajeev Srivastava, K.S. Khokra and Sushma Nagpal, "Security Aspects in Computer Networking," Joint 9th National Conference of Vigyan Parisad of India and Indian Society of Information Theory and Applications, NSIT, New Delhi, Feb.22-24 , 2002.
    79. Rajeev Srivastava, K.S. Khokra and Sushma Nagpal, "Information Security," National Conference on Network and Database Security, C.U.Shah Institute of Engineering and Technology, Wadhvan City, Gujrat, Feb.15-16, 2002.
    80. Rajeev Srivastava, M.M.S. Rauthan, R.B. Patel, "E-Commerce-The Concept and its  Scope in India," National Conference on Information Technology Challenges - Vision 21st Century, G.B. Pant Engineering College, Pauri Garhwal (UTTARANCHAL), June 26-27, 2000.

    Patent Filed:

    1. Title of Invention: A system to reduce errors for digital image forgery detection and method thereof
    Inventors: Rajeev Srivastava, Ankit Kumar Jaiswal
    Patent Filed with: Patent office, Govt. of India
    Year of filing patent: 2022

    Research Projects Completed:

    1. Research and Experiment in the area of advanced data structures and methodologies to represent and process large terrain datasets for efficient rendering, Sponsored by ANURAG, DRDO, Hyderabad (Dec’2019- July’2020). (Role: Principal Investigator)

    2. National Mission on Education through Information & Communication Technology   (NMEICT), MHRD, Govt. of India, New Delhi.  (Role: Principal Investigator)

    Duration   Project Title Sponsoring Agency Web link to the project site
    April’2010- July’2014 Design and Development of interactive E-content for the subject Digital Image Processing and Machine Vision NMEICT, MHRD,

    New Delhi
    (Project Grant: Rs. 06.50 Lacs)

    NMEICT E-Contents

    PhD Thesis Supervision:

    Sr.
    No.
    Name of Research Scholar Title of the PhD Thesis/ Area of Research Work
     
    Status
    1. Dr. Arvind Kumar Tiwari Efficient and robust feature selection and classification approaches for protein function prediction.  Awarded
    (Convocation-2015) Year of Award: 2015
    2. Dr. Shailendra Tiwari Design and Development of efficient framework for medical image reconstruction. Awarded
    (Convocation-2016) Year of Award: 2015
    3. Dr. Alok Kumar Singh Kushwaha Some new methodologies for moving object segmentation and multi-view human activity recognition for video surveillance system. Awarded
    (Convocation-2016) Year of Award: 2015
    4. Dr. Rajesh Kumar Segmentation and detection of cancer from microscopic biopsy images. Awarded
    (Convocation-2016) Year of Award: 2015
    5. Dr. Nagendra Pratap Singh Efficient Approaches for Retinal Image Blood Vessels Segmentation and Registration. Awarded (2017)
    6. Dr. R. B. Yadav Design of filters for restoration and enhancement of magnetic resonance images (MRI). Awarded (2017)
    7. Dr. Vibhav Prakash Singh Design and development of content based medical image retrieval system. Awarded (2018)
    8. Dr. Gargi Srivastava Some New Methods and Models for Salient Object Detection and Image Annotation Awarded (2020)
    9. Dr. Roshan Singh Design and Development of Machine Learning Based Approaches for Automatic   Human Activity Recognition in Video Surveillance System Awarded (2020)
    10. Dr. Jani Kuntesh Ketan Design and Development of Automatic Abnormality Detection System for Capsule Endoscopy Awarded (2020)
    11. Dr. Ankit Kumar Jaiswal Design and development of some approaches for digital image forgery detection and localization Awarded (2021)
    12. Dr. (Ms.) Pratistha Verma Design and Development of Deep Learning based approaches for 2D and 3D Human Pose Estimation and Activity Recognition Awarded (2021)
    13. Dr. Ashish Kumar Sharma Protein Secondary Structure Prediction using Deep Learning Techniques
     
     
    Awarded (2021)
    14. Mr. Surya Kant Singh Complex salient object detection using probabilistic modelling and deep learning
     
    Thesis Submitted (24th May'2022)
    15. Mr. Santosh Kumar Tripathy Design and development of some methods and models for crowd analysis using computer vision and deep learning approaches
     
    Thesis Submitted (4th July'2022)
    16. Ms. Divya Singh Design and development of deep learning based approaches for perception and planning modules of the autonomous vehicles
     
    Pre-PhD Thesis Submission/Open Seminar held (June'2022)
    17. Mr. Saurabh Arora AI and Deep learning in Dental Image Analysis In Progress
    (Registered 2017).
    Co-Supervisor:
    Dr. Ruchir Gupta
    18. Ms. Shweta Singh Computer Vision and  Machine Learning In Progress (Registered Dec, 2020)
    19. Mr. Devendra Kumar Sharma Computer Vision and  Machine Learning In Progress (Registered 2020)
    20. Ms. Shraddha Sharma Computer Vision and Machine Learning Registered 2021
    Under QIP

     

    Professional Activities:
    Reviewer of reputed international journals

    IEEE Transactions on Industrial Electronics
    IEEE Access
    Neural Computing and Applications, Springer
    ACM Transactions on Multimedia Computing Communications and Applications (TOMM) Computer Methods and Programs in Biomedicine, Springer
    Journal of Electronic Imaging, SPIE
    Applied Mathematical Modeling, Elsevier Science Defense Science Journal, DESIDOC, DRDO, India.
    Journal of Imaging Science, Royal Society of Photography, UK Indian National Academy of Science Letters (INSA, Delhi) National Academy of Sciences Journal (Physical Sciences) Biomedical Signal Processing, International Journal, Elsevier Sc. Medical and Biological Engineering and Computing, Springer

    Other Professional Activities: 

    1. Member Editorial Board: Journal of Mathematics and Computational Intelligence, VidyaDatri Research & Publications   2021. 
    2. Member Technical Program committee and reviewer of more than 50 International Conferences.
    3. Resource person Uttar Pradesh Public Service Commission (UPPSC, Allahabad).
    4. Member, UGC-NET, New Delhi (2014, 2015)
    5. PhD Thesis Examiner of various Universities such as:
    6. IITs/ NITs/ University of Delhi, JNU Delhi, University of Allahabad, ISM Dhanbad, JNTU, Hyderabad, RGPV Bhopal, Sh. Venkateshwara University, Tirupati,  and others.
    7. Book Review: Reviewed manuscripts of 10 books of different subjects of Computer Sc. and
    8. Engineering published by TMH, India; Oxford University Press, India; Mac Graw Hill Publications, USA etc.
    9. Book Chapter review: Reviewed book chapters to be published by IGI Global, USA.
    10. Paper setter and examiner of various Indian Universities in Computer Sc. and Engineering subjects.
    11. Expert-Member, Board of Studies, Computer Sc and Engineering, VBS Purvanchal University, Jaunpur, UP.
    12. Member, Board of Studies, JNTU Hyderabad.
    13. Member, Board of Studies, CSE Dept. (2020-21), MMMUT Gorakhpur.
    14. Member, College Research Committee, College of Computing Sciences & Information Technology, Teerthanker Mahaveer University, Moradabad, 2021-22.
    15. Member, Departmental Research Committee (DRC), Dept. of Information Technology, Delhi Technological University (DTU), New Delhi
    16. Member, Board of Studies, Department of Computer Science & Engineering, IET, Dr. RML Avadh University, Ayodhya, 2022.
    17. Member, Board of Studies, Department of Computer Science, Indus Institute of Information & Communication Technology (IIICT), Indus University, Ahmedabad. 
    18. Member, Board of Studies, Computer Science and Information Technology, Samrat Ashok Technological Institute, Vidisha (M.P.)
    19. Expert member: UGC, NBA, UPPSC, UPSC, UKPSC, DRDO, UGC and other Govt. organizations.
    20. Member Faculty Selection Committees: NIT/ Central Universities/ State Universities/ Institutions.
    21. Member, CSE Dept. Research Committee, TMU Moradabad (2021).

     Academic Recognitions/Awards:

    1. Best Paper Award entitled "Exploiting Low-level Spatial Encoded Temporal Features For Multi Task Crowd Analysis" at International Conference on Artificial Intelligence: Theory and Applications (AITA-2021) organised by the Department of Electronics and Communication Engineering, NIT Patna on 23rd-24th Dec,2021.
    2. Elected as Senior Member, Institution of Electrical and Electronics Engineers (IEEE), USA, 2019.
    3. Elected as Fellow, Institution of Electronics and Telecommunication Engineers, India (FIETE), 2015.
    4. Elected as Fellow, Institution of Engineers, India (FIE), 2015.
    5. Received the "2012 Publication Scholarship Award" in second prize category by IIT- BHU Global Alumni Association.
    6. Member of Jury panel at the stage 2 rounds of Tata InnoVista 2020 for judging the piloted technologies, Mumbai, March 2020.
    7. Nominated for inclusion of biography in Marquis Who’s Who in the World, USA, 2012 (29th Edition)
    8. Selected for inclusion of biography in Great Minds of the 21st Century, 2012, American Biographical Institute (ABI), Inc.
    9. Listed in "2000 OUTSTANDING INTELLECTUALS OF THE 21st CENTURY- 2011" by International Biographical Centre (IBC), Cambridge, England.
    10. Nominated for "Man of the Year 2011" Award by International Biographical Centre (IBC), Cambridge, England.
    11. Listed in Marquis Who’s Who in Science and Engineering, USA, 11th Edition, 2011- 2012, published in Dec'2010.
    12. Received the "2010 Publication Scholarship Award" in second prize category by IIT- BHU Global Alumni Association.
    13. Nominated for the award of "Top 100 Educators of the World-2010" by IBC, Cambridge, England.
    14. Recipient of National Scholarship by UP Board at 10+2 Level.

     Invited Talks/Plenary Talks/ Expert Lectures/ Keynote: 

    1. Chief Guest and Expert Lecture on topic “AI/ML, Computer Vision and its Research Applications” in STC on Practical Aspects of Machine Leaning organized by KNIT, Sultanpur, 7.2.2022.
    2. Plenary Talk on topic on topic “Research Applications of AI/ML and Computer Vision” in International Conference on Materials, Machines & Information Technology - 2022 (ICMMIT-2022), Amity University Jharkhand, Ranchi, 24th - 25th Jan'22.
    3. Plenary Expert talk on topic “AI/ML/DL and its Computer Vision applications” in International Conference on Artificial Intelligence: Theory & Applications (AITA-2021), 23-24 December’2021, NIT Patna. (on 23.12.2021) 
    4. Delivered invited expert talk on topic “ML and Deep Learning Applications in Computer Vision” in One Week Short Term Course on Advances in Deep Architectures for Signal, Image & Vision Applications (ADASIVA 2021) organized by IIIT Allahabad on 10.12.2021. 
    5. Delivered an expert lecture on topic “AI/ML Applications in Computer Vision and IoT” in Refresher Course in Computer Science organized by UGC-HRDC, University of Allahabad on 16.11.2021. 
    6. Delivered invited expert talk on topic “AI/ML in Computer Vision and Its Applications”  in 4th National Seminar on New Trends in Signal Processing (NeTSiP-2021) jointly organized by the IEEE Gujarat Section, IEEE SPS Chapter, GS and Centre for Artificial Intelligence and Language Processing and hosted by DA-IICT, Gandhinagar, Gujarat. (20.3.2021). 
    7. Delivered invited talk on topic “AI/ML and Its Applications in Computer  Vision” in One week Faculty Development Programme on topic Artificial Intelligence and Its Applications (AIIA-21), LNJPIT Chapra, Bihar. (15.3.2021). or IoT
    8. Delivered invited talk on topic “ML, Computer Vision and its Applications” on 21.11.2020 in online mode in Two Week Refresher Course on “ARTIFICIAL INTELLIGENCE” organized by UGC-Human Resource Development Centre, JNTUH, Hyderabad.
    9. Delivered invited talk on topic “IoT Computer Vision and ML applications” on 23.11.2020 in online mode in One Week Online Refresher Course on “Programming in Internet of Things” Sponsored by AICTE-ISTE and Presented by Department of Computer Science and Engineering, JNTUHCEJ, Hyderabad.
    10. Chief Guest and delivered Keynote Address on topic “Machine Learning Applications and Computer Vision” on 2.11.2020 in National Level one week online on ISTE-STTP- Machine Learning : Applications, Research Challenges (MLARC2020) organized by Nalla Narasimha Reddy Education Society's Group of Institutions, Hyderabad.
    11. Invited Expert Lecture in online mode on topic “Machine Learning Applications for Computer Vision and IoT”, in One-Week Faculty Development Program On ‘Deep Learning and Machine Learning Applications in Computer Vision’ on 24.8.2020 jointly organized by Electronics and ICT Academy at National Institute of Technology, Patna and Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur.
    12. Invited Expert Lecture in online mode on topic “IoT for Computer Vision”, in RTU(ATU) TEQIP-III Sponsored Three days Faculty Development Program on "Internet Of things" (IOT-2020)" on 21.8.2020 at Jagannath Gupta Institute of Engineering and Technology, RTU, Jaipur.
    13. Invited Expert talk in online mode on topic “AI, Computer Vision and its Applications” in two weeks online FDP on Recent research trends on Electronics and Communication Engineering on 19.8.2020 at GBPIET, Pauri-Garhwal, Uttarakhand.
    14. Conducted and delivered lectures in online workshop on topic “Data Structures and Algorithms” for UG students during 20.7.2020 to 31.07.2020 at Loknayak Jai Prakash Institute of Technology (LNJPIT), Chapra, Bihar.
    15. Invited Expert Lecture on Topic “Computer Vision, Machine Learning and Applications” in 10 Days workshop in ‘Mathematical Sciences for Practicing Researchers’ on 12.2.2020 at DST-CIMS BHU, Varanasi.
    16. Delivered invited talk on topic "AI, Computer Vision and Its Applications" in International Conference on Engineering, Mathematical and Computational Intelligence (ICEMCI-2019) at Govt. Engineering College, Jabalpur, MP on 21.12.2019.
    17. Represented the Institute and Deliberated on topic “AI Research Excellence” in MHRD Conference on Artificial Intelligence in Education Sector at IIT Delhi on 04.7.2019.
    18. Invited Lectures on topic: “Computer Vision, Machine Learning and its Applications- Part-I and Part-II” in QIP Sponsored Short Term Course on high performance computing and data engineering, Department of Computer Science and Engineering, IIT (BHU), Varanasi, 24-29 June 2019. (27.6.2019).
    19. Key Note Address, 2nd International Conference on Advanced Computing and Software Engineering (ICACSE-2019), KNIT Sultanpur, February 8th, 2019.
    20. Expert Talk on topic “Introduction of AI and Machine Learning, Machine Learning Applications in Computer Vision” In faculty development program (FDP) on Artificial Intelligence and Machine Learning, E&ICT Academy, IIT Roorkee, 17th Dec. to 21st Dec. 2018 (17/12/2018).
    21. Guest Speaker on the topic “Experiences of conducting IOT Programs along with the challenges” in the 3rd  Annual Congress on IOT at Bengaluru on the 10.10.2018.
    22. Invited lecture series on topic “Image Processing and Machine Learning”, YCCE Nagpur, 24-26 September 2018.
    23. Invited Talk on “Computer Vision applications using IoT” In Short Term Course on "Emerging Trends And Technology in Internet of Things (IOT) and Cloud Computing" , G.B. Pant Institute of Engineering and Technology, Pauri-Garhwal (Uttarakhand), 10th September 2018.
    24. Invited Talk on the topic: ‘Automatic scene analysis from images using computer vision and machine learning /Deep learning approaches’ at International Conference on Emerging Trends in Communication, Computing and Electronics (IC3E-2018), J. K. Institute of Applied Physics and Technology (Department of Electronics and Communication), University of Allahabad, Allahabad, 14th April, 2018.
    25. Expert Lecture on topic: ‘Applications of Computer Vision, Machine Learning, and NLP for automatic image captioning and scene analysis from digital images’ during the Faculty Development Program (FDP) on Machine Learning and Computer Vision(MLCV-2018) (Sponsored by WB-TEQIP III, KNIT, Sultanpur), 13th April, 2018.
    26. Expert lecture on topic: ‘Computer Vision and Machine Learning: Theory and Applications’, in TEQIP-III Short Term Course (STC) on “Advances in Computing Technology (ACT-2018) at MMMUT, Gorakhpur, 17th   March 2018.
    27. Expert invited lecture on topic: ‘Automatic Image Captioning’, in TEQIP-III Short Term Course (STC) on “Advances in Computing Technology (ACT-2018) at MMMUT, Gorakhpur, 18th   March 2018.
    28. Expert Lecture Series on topic “ Design and Analysis of Algorithms”, at Dept. of Computer Technology at YCCE Nagpur during 20-22 February 2018.
    29. Topic: Vision and Learning and its medical applications, Expert Lecture in workshop, TEQIP FDP on ‘Digital Image Processing and its applications’ at G.B. Pant Institute of Engineering and Technology, Uttarakhand, December 21st , 2017.
    30. Expert talk on topic “Medical Image Analysis and Pattern Classification” at Malviya Research Conclave-2017, MMM University of Technology, Gorakhpur., July 11th , 2017.
    31. Topic: Image Processing, Machine Learning Applications for cancer detection from digital images, Two Days National Workshop on Advances in Image & Video Processing (AIVP-2017) 29thApril - 30thApril, 2017 at GLA University Mathura.
    32. Topic: Computer Vision research: A machine learning perspective in Ist winter school on Advances in Computing Technology (ACT-2017), organized by Department of Computer Science and Engineering, M.M.M. University of Technology Gorakhpur from 23rdFebruary – 1st  March, 2017
    33. Key Note address topic: Selected research topics in image processing, computer Vision, and pattern classification at 7th IEEE International Advance Computing Conference (IAAC) at VNR VJIET, Hyderabad, India. 07/01/2017.
    34. Topic: Image Processing, Pattern Classification and Medical Image Analysis TEQIP sponsored STC on Advances in Computing Technology (ACT-2016) organized by Department of Computer Science and Engineering, MMM University of Technology, Gorakhpur during July 3-9’2016.
    35. Topic: ICT Entrepreneurship for Social Impact, on World Telecommunication Day held on 17 May, 2016 at Institution of Engineers, Varanasi Centre. Venue: Dept. of Mechanical Engineering, IIT (BHU), Varanasi.
    36. Expert Talk on Topic: Topic: Good Practices for PhD thesis/report writing, at TEQIP- II Workshop on Report Writing in Engineering and Technology, MMMUT Gorakhpur, March’2016.
    37. Topic: Image Processing and its applications in Wireless Visual Sensor Networks (WVSN). At QIP Sponsored Short term Course on Wireless Sensor Networks, Feb. 12-18, 2016, Department of Computer Science and Engineering, IIT (BHU) Varanasi.
    38. Topic: Image Processing and Its Medical Applications. MMMUT Gorakhpur, December’2015
    39. Topic: Selected topics in Design and Analysis of Algorithms. At Rajiv Gandhi College of Engineering & Research (RGCER), Nagpur, Maharashtra -441110 during 20th August to 21th August 2015.
    40. Topic: Recent Research Developments in Computer Vision, Pattern Classification and Its Applications. At STTP workshop on Recent Trends in Computer Vision (RTCV- 2015) at YCCE Nagpur, 20 April 2015.
    41. Topic: Image Processing, Pattern Classification and Its Medical Applications. Conducted a workshop on above In Research Week-2015 at Gujrat Technological University (GTU), Ahmedabad, April’2015.
    42. Topic: Research developments in image processing and cancer detection. At G.B. Pant Engineering College, Pauri-Garhwal, June’2013.
    43. Topic: PDE based Image Processing: Some new research trends and its Applications. In Short Term Refresher Course (AICTE Approved, Faculty Development Program, 2.1.12-14.1.12) on ‘Applications of Advanced Computing Technologies: The Emerging Research Trends’ at Ambedkar Institute of Advanced Communication Technologies & Research,  Delhi- 110031 on 07.1.2012.
    44. Topic: PDE based image processing: Methodologies, Applications and new research trends. Iin ‘National Seminar on Trends in Computer Vision’ organized by IETE, Allahabad Centre and J.K. Institute of Applied Physics and Technology, University of Allahabad, Allahabad on 25.2.2012.
    45. Topic: Image processing and Computer Vision Applications in medical imaging and biometrics. As a resource person at 3rd Refresher course in ICT applications, UGC- BHU Academic Staff College, 22nd September’2012-12th October, 2012 on 29.9.2012.
    46. Topic: PDE based image processing.At Dept. of Computer Sc. And Engineering, Madan Mohan Malviya Engineering College, Gorakhpur, UP in Dec’2011.
    47. Topic: Computer Vision and Its Applications. As a resource person at 2nd Refresher course in ICT applications, UGC-BHU Academic Staff College, 22nd September’2010- 12th October, 2010.

    Workshop/Short-term courses/Refresher Courses/ Seminar: Attended:

    1. MHRD Conference on ‘Artificial Intelligence in Education Sector’ at IIT Delhi on 04.7.2019.
    2. HPC Innovation Symposium 2019 (an annual HPC thought leadership event) organized by CL Educate & Dell EMC at Parwanu, Himanchal Pradesh during 11-13 July 2019.
    3. AXLE-2019, Microsoft Academia Accelerator’s annual showcase of collaboration with Academia, on February 5, 2019.
    4. Orientation Workshop on ‘Outcome Based Education and Accreditation’ organized by National Board of Accreditation (NBA), New Delhi on 24th October, 2018.
    5. HPC Innovation Symposium 2018 (an annual HPC thought leadership event) organized by CL Educate & Dell EMC at Jaipur, Rajasthan during 11-12 July 2018.
    6. Research Promotion Workshop on Introduction to Graph and Geometric Algorithms (IGGA-2010), organized by Dept. of Computer Science, BHU, Varanasi during 08-13, February, 2010. (01 week).
    7. Research Promotion Workshop on Introduction to Graph and Geometric Algorithms, jointly organized by ITBHU, Varanasi and TIFR, Mumbai at ITBHU, Varanasi during 27-29, January, 2010.  (03 days).
    8. CAD and Optimization, 20.11.2006-01.12.2006, ISTE sponsored short-term course at Netaji Subhas Institute of Technology (NSIT), Dwarka, Sector-3, New Delhi-110078. (02 weeks).
    9. Modeling and Simulation, 04.12.2006-15.12.2006, ISTE sponsored short-term course at Netaji Subhas Institute of Technology (NSIT), Dwarka, Sector-3, New Delhi- 110078. (02 weeks).
    10. Management Development Programme, 20.12.2006-24.12.2006, Organized by NAFEN, Delhi at Netaji Subhas Institute of Technology (NSIT), Dwarka, Sector-3, New Delhi-110078. (01 week).
    11. National Seminar on “E-Commerce and Web Enabled Applications” at HBTI, Kanpur, 26-27 March’2000. (02 days)

    Organization of Refreshers Courses/Conferences/ Workshop: 

    1. Organized the two sessions on ‘Data Science Applications’ in ‘Data Science’ Vertical in VAIBHAV SUMMIT 2020 organized by Govt. of India and conducted jointly with IIT (BHU), IIT Roorkee and DRDO on 13.10.2020 and 16.10.2020.
    2. Organized the a sessions on ‘Data Science Education’ in ‘Data Science’ Vertical in VAIBHAV SUMMIT 2020 organized by Govt. of India and conducted jointly with IIT Guwahati, IIT (BHU), and DRDO on 21.10.2020.
    3. Organized and hosted invited lectures of many distinguished experts from Industry and Academia in the Department of CSE, IIT (BHU), Varanasi.
    4. Organizing  Chair,  3rd   IEEE  UP  Section  International  Conference  on  Electrical, Electronics, and Computer (UPCON-2016), jointly organized by the Departments of Electrical, Computer and Electronics Engineering, IIT (BHU), Varanasi, 8-10, Dec’2016. (Co-Chairs: Prof. R.K. Srivastava, Dr. M.K. Meshram).
    5. Coordinator, 2nd Refresher course in ICT applications, UGC-BHU Academic Staff College, 22nd September’2010-12th October, 2010.
    6. Organizing Secretary, National Conference on Artificial Intelligence and Agents: Theory and Applications (AIATA-2011), Dept. of Computer Engineering, ITBHU, 09- 11 Dec’2011.
    7. Organizing Secretary: Codefest-2010: A world-wide online coding festival for technical students, Organized by Computer Engineering Society, Department of Computer Engineering, ITBHU, Varanasi.
    8. Organizing Secretary: Codefest-2011: A world-wide online coding festival for technical students, Organized by Computer Engineering Society, Department of Computer Engineering, ITBHU, Varanasi.
    9. Faculty Advisor: Addhyayn: A National Level Conference and Student Paper Presentation Contest, Department of Computer Engineering, ITBHU, Varanasi- 221005, 22-25 March’2012.
    10. Convener: Organized a two day Academic Program (7-8 February 2013) on behalf of Dept. for CS and Engg. student delegations from Edith Cowan University (ECU), Perth, Australia.

     Session Chairs in International Conferences/ Panelist in Symposium: 

    1. Session Chair in International Conference on Materials, Machines & Information Technology - 2022 (ICMMIT-2022), Amity University Jharkhand, Ranchi, 24th - 25th Jan'22. 
    2. Session Chair and panellist in ‘Data Science Applications’ horizontal, Session-I: Image, Video and Text Analytics: Current Trends and Future’ in “Data Science” Vertical of VAIBHAV SUMMIT-2020 organized by Govt. of India and jointly conducted by IIT (BHU), IIT Roorkee, and DRDO on 13.10.2020.
    3. Session Chair and panellist in ‘Data Science Applications’, Session-II: Data Mining and applications of Data Science in Health Care, Agriculture, and Smart Cities’ in “Data Science” Vertical of VAIBHAV SUMMIT-2020 organized by Govt. of India and jointly conducted by IIT (BHU), IIT Roorkee, and DRDO on 16.10.2020.
    4. Panellist in ‘Data Science Education’ horizontal in “Data Science” Vertical of VAIBHAV SUMMIT-2020 organized by Govt. of India and jointly conducted by IIT Guwahati, IIT (BHU) and DRDO on 21.10.2020.
    5. Session Chair in track "Image Processing" in International Conference on Engineering, Mathematical and Computational Intelligence (ICEMCI-2019) at Govt. Engineering College, Jabalpur, MP on 21.12.2019.
    6. Session Chair in track “Machine Learning” in 7th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON 2020), organized by MNNIT, Allahabad on 27.11.2020. 
    7. Panellist for session ‘Why HPC Matters-Powering AI and ML to accelerate business innovation’ in HPC Innovation Symposium 2018 (an annual HPC thought leadership event) organized by CL Educate & Dell EMC at Jaipur, Rajasthan during 11-12 July 2018.
    8. Session Chair for the session “Image Analysis and Computer Vision” at International Conference on Emerging Trends in Communication, Computing and Electronics (IC3E-2018), J. K. Institute of Applied Physics and Technology (Department of Electronics and Communication), University of Allahabad, Allahabad, 14th April, 2018.
    9. Session Chair for the session “Machine Learning” at 7th IEEE International Advance Computing Conference (IAAC) at VNR VJIET, Hyderabad, India. 07/01/2017.
    10. Session Chair for the session “Image Processing, Computer Vision and Pattern Recognition”, 3rd IEEE UP Section International Conference on Electrical, Electronics, and Computer (UPCON-2016), IIT (BHU), Varanasi on 10/12/2016.

    Administrative Experience at IIT (BHU): 

    Dean (Resource and Alumni Affairs), IIT (BHU) (01.12.2020-till date)
    Head, Centre for Computing and Information Services (CCIS), IIT (BHU), Varanasi (01/01/2021-Till Date).
    Chairman, Investment Committee, IIT (BHU), Varanasi (01.04.2021-till date).
    Chairman, Departmental Promotion Committee (DPC) (Ministerial Staff) (October, 2021-Till Date)
    Former Head, Department of CSE, IIT (BHU), Varanasi (01/08/2017-31.12.2020)
    Former, Head (Ex-Officio), Centre for Computing and Information Services (CCIS), IIT (BHU), Varanasi (01/08/2017-31.12.2020)
    Member, Senate, IIT (BHU), Varanasi (04/08/2016-till date)
    Chairman, Institute Email and Web Services Committee, (5.2.2016-till date)
    Chairman, Senate Undergraduate Committee (SUGC), IIT (BHU), 31/8/2015-30/8/2016
    Chairman, Computer Unit (CCIS) Establishment Committee, 3/9/2015- 1/8/2017.
    Chairman, Academic Performance Evaluation Committee (APEC), IIT (BHU) (2014-2015)
    Chairman, Users Committee, Faculty Residential Quarters, IIT (BHU) (13/3/2015-30/3/2016)
    Convener, Department Post Graduate Committee (DPGC), (31.8.2016-30.8.2017).
    Member, Senate Post Graduate Committee (SPGC), (31.8.2016-30.8.2017).
    Convener, Departmental Undergraduate Committee (DUGC) (2013-August’2016)
    Member, Gandhi Technology Alumni Centre (GTAC)/ Institute Guest House Management Committee (GTAC) (20.9.2018-Dec'2022)
    Member, Non-Teaching Cadre Structure Review Committee, IIT (BHU) (30.8.2019-Till Date)
    Member (Chairman Senate Nominee)-Senate Scholarship Committee, IIT (BHU) (18.10.2019-till Date).
    Convener, Examinations Evaluation Guideline Preparation Committee, IIT (BHU) (8.1.2019- 23.5.2019)
    Convener, Dept. Web Management Committee (2008-till date)
    Member,Department Faculty Affairs Committee (DFAC)
    Member, Institute Time Table Committee (July’2014-July’15)
    Convener, Dept. Time Table (July’2015-July’2016)
    Purchase Secretary, Dept. of CSE (2015)
    Chairman (Sub-committee), PhD Entrance Exam ( May-June 2014-15)
    Member, Anti Ragging Squad, IIT(BHU) (2014-15)
    Officer In-charge, Computing Lab, CSE (2007-till date)
    Member, Advisory Committee, Training & Placement, IITBHU
    Member, Departmental Undergraduate Committee (DUGC)
    Member, Departmental Postgraduate Committee (DPGC) (2011-2016)
     

    Other Assignments -Outside Institute:
    Chairman, IETE Varanasi Sub-Center (July 2020-Till Date)
    Member, Academic Council NSIT, 2007
    Vice-Chairman, Moksha, 2005 and 2006 (Annual Cultural Fest of NSIT , New Delhi)
    Warden, Boys Hostel (BH-II), 2006-07, NSIT
    Warden, Girls Hostel and Boys Hotel, GBPEC, 2000-2001
    Dy. Dean Students Welfare, GBPEC Pauri, 1998-2000