Dr. Debdas Ghosh

Associate Professor
Department of Mathematical Sciences, IIT BHU
Email:
debdas.mat@iitbhu.ac.in
Phone(s):
+91 9735453726
Website:
Area of Interest:
Continuous Optimization

 

  • Optimization Techniques 
  • Operations Research 
  • Engineering Mathematics I
  • Engineering Mathematics II
  • Numerical Techniques 
  • Modern Algebra  
  • Real Analysis 
  • Functional Analysis
  • Universal Human Values II 


 

 

  • World’s Top 2 Percent Scientist by Stanford/Elsevier (2024)
  • Second Best Oral Presentation Award, Department of Mathematics, IIT Kharagpur (2014)
  • Best Poster Presentation Award, Department of Mathematics, IIT Kharagpur (2013) 
  • Second Best Poster Presentation Award, Department of Mathematics, IIT Kharagpur (2011) 
  • Prof. J. C. Bose Memorial GOLD Medal, IIT Kharagpur (2009) 
  • Institute Silver Medal, IIT Kharagpur (2009) 
  • Qualified GATE with All India Rank: 8, Percentile: 99.67 (2009) 
  • Qualified NET, JRF-CSIR, All India Rank: 22 (2009) 
  • Best Project Award, IIT Kharagpur (2009) 
  • Stood Second Position in Merit among All Mathematics Honours Students of the University of Calcutta (2007)

 

 

 

 

  • Applied Analysis, Optimization and Soft Computing
    D Ghosh et al. (Eds.)
    Proceedings in Mathematics and Statistics, Volume No. 419, 
    Springer, 2023

 

  • Nonlinear and Variational Analysis 
    D Ghosh and J-C Yao (Eds.)
    SI in Journal of Nonlinear and Convex Analysis, Volume 25, Number 8, 2024

 

  • Contemporary Trends in Vector and Set Optimization  
    D Ghosh and Jiawei Chen (Eds.)
    SI in Journal of Applied Analysis and Optimization, Volume 8, Number 2, 2024 

 

  • Proceedings of IWAAO2024, Taichung, Taiwan  
    J. C. Yao, D. Ghosh, E. Kobis, C. Tammer (Eds.)
    SI in Optimization, Taylor and Francis, 2025

 

 

 

 

  • Optimality conditions for fuzzy optimization problems and its application to classification problems with fuzzy data 
    F Shi, G Ye, W Liu, D Ghosh
    Journal of Computational and Applied Mathematics, 117474, 2026    

 

  • A Quadratically Convergent Newton Method for Uncertain Vector Optimization Problems with Finite Uncertain Scenario 
    Nand Kishor, Debdas Ghosh, Zai-Yun Peng, Shashi Kant Mishra  
    Optimization, Accepted Manuscript, 2026    

 

  • Cubic Regularization Technique of the Newton Method for Vector Optimization 
    Debdas Ghosh 
    Journal of Optimization Theory and Applications, 207 (2025) 39   

 

  • A trust region method for uncertain multiobjective optimization: comparative analysis with existing descent methods 
    Shubham Kumar, Nihar Kumar Mahato, Debdas Ghosh
    Optimization and Engineering, Accepted Manuscript, 2025    

 

  • Nonlinear Conjugate Gradient Methods for Optimization of Set-Valued Maps of Finite Cardinality 
    Debdas Ghosh, Ravi Raushan, Zai-Yun Peng, Jen-Chih Yao
    Journal of Optimization Theory and Applications, 207 (2025) 18   

 

  • A Newton-type Proximal Gradient Method for Uncertain Vector Optimization Problems with Finite Uncertain Scenarios 
    Nand Kishor, Debdas Ghosh, and Xiaopeng Zhao
    Optimization, Accepted Manuscript, 2025 

 

  • A Three-Operator Splitting Scheme Derived from Three-Block ADMM 
    Anshika, Jiaxing Li, Debdas Ghosh, Xiangxiong Zhang
    Optimization and Engineering, Accepted Manuscript, 2025 

 

  • Steepest Descent Method for Multiobjective Optimization Problems of Interval-Valued Maps 
    Tapas Mondal, Debdas Ghosh 
    Numerical Algorithms, Accepted Manuscript, 2025 

 

  • Characterization of set order relations and set optimization problems via conic scalarization 
    Madhusudan Das, Debdas Ghosh, Jen-Chih Yao, Xiaopeng Zhao
    Journal of Global Optimization, Accepted Manuscript, 2025 

 

  • A Method for Uncertain Linear Optimization Problems Through Polytopic Approximation of the Uncertainty Set 
    Ravi Raushan, Debdas Ghosh, Yong Zhao, Zhou Wei  
    Journal of Optimization Theory and Applications, 205 (2025) 14 

 

  • Nonmonotone Wolfe-type Quasi-Newton Methods for Multiobjective Optimization Problems 
    Ashutosh Upadhayay, Debdas Ghosh, Krishan Kumar  
    OptimizationAccepted Manuscript, 2025  

 

  • Quasi-Newton Method for Set Optimization Problems with Set-Valued Mapping Given by Finitely Many Vector-Valued Functions 
    Debdas Ghosh, Anshika, Jen-Chih Yao, Xiaopeng Zhao
    Numerical Functional Analysis and OptimizationAccepted Manuscript, 2025 

  

  • Two Self-Adaptive Stepsize Relaxed Dual Inertial Subgradient Extragradient Methods for Solving Pseudomonotone Variational Inequalities and Demicontractive Fixed Point Problems 
    Habib ur Rehman, Debdas Ghosh, Yekini Shehu, Xiaopeng Zhao  
    Computational and Applied Mathematics274 (2025) 44   

  

  • Solving an Uncertain Quadratic Multiobjective Optimization Problem Using Newton’s Descent Method Via a Robust Optimization
    Shubham Kumar, Nihar Kumar Mahato, Md Abu Talhamainuddin Ansary, Debdas Ghosh 
    Journal of Applied and Numerical Optimization, 7(2), 2025, 149-177 

 

  • Composite Tseng-type extragradient algorithms with adaptive inertial correction strategy for solving bilevel split pseudomonotone VIP under split common fixed-point constraint 
    Lu-Chuan Ceng, Debdas Ghosh, Habib ur Rehman, Xiaopeng Zhao  
    Journal of Computational and Applied Mathematics470 (2025) 116683

 

  • Experimental results of model predictive control of a coupled tank system using interior-point barrier algorithm 
    R. Singh, S. Ghosh, D. Ghosh, D. Singh, P. Dworak  
    International Journal of Systems ScienceAccepted Manuscript, 2025  

 

  • Proximal gradient method for convex multiobjective optimization problems without Lipschitz continuous gradients 
    X. Zhao, R. Raushan, D. Ghosh, J.-C. Yao, M. Qi  
    Computational Optimization and Applications91 (2025) 27-66   

 

  • A three-block linearized generalized ADMM based iterative algorithm for separable convex programming with application to an image compression problem
    X. Q. Zhang, J.-W. Peng, D. Ghosh, J.-C. Yao 
    Journal of Computational and Applied Mathematics462 (2025) 116483 

 

  • Optimal Trajectory Tracking Using Newton and Levenberg-Marquardt-Like Algorithms for Constrained Time-Varying Optimization 
    Sunidhi Pandey, Parijat Prasun, Shyam Kamal, Devender Singh, Debdas Ghosh, Sorin Olaru 
    Optimal Control Applications and Methods, 46 (2025) 1800-1813 

 

  • Exact Penalty Method for Constrained Interval Optimization using gH-Mordukhovich Subdifferential 
    Suprova Ghosh, Debdas Ghosh, C.-F. Wen  
    Journal of Nonlinear and Convex AnalysisAccepted Manuscript, 2025  

 

  • Solving Equilibrium and Fixed-Point Problems in Hilbert Spaces: A Class of Strongly Convergent Mann-Type Dual-Inertial Subgradient Extragradient Methods
    H. U. Rehman, D. Ghosh, J.-C. Yao, X. Zhao  
    Journal of Computational and Applied Mathematics464 (2025) 116509 

 

  • An Improved Nonmonotone Quasi-Newton Method for Multiobjective Optimization Problems 
    Krishan Kumar, Abhishek Singh, Ashutosh Upadhyay, D. Ghosh 
    Journal of Nonlinear and Convex AnalysisAccepted Manuscript, 2025  

 

  • Optimality Conditions and Duality Results for Generalized-Hukuhara Subdifferentiable Preinvex Interval-Valued Vector Optimization Problems 
    Zai-Yun Peng, Jian-Yi Peng, Debdas Ghosh, Zhao Yong, Li Dan  
    Fuzzy Sets and Systems,  515 (2025) 109416

 

  • Epsilon-Subdifferentiability for Interval-valued Functions and Its Application in Interval Optimization Problems 
    Krishan Kumar, D. Ghosh, J-W Chen, J.-C. Yao 
    Computational and Applied Mathematics44 (2025) 197   

 

  • Solving Equilibrium and Fixed-Point Problems in Hilbert Spaces: A New Strongly Convergent Inertial Subgradient Extragradient Method 
    Habib Rehman, Debdas Ghosh, Chinedu Izuchukwu, Xiaopeng Zhao 
    OptimizationAccepted Manuscript, 2025  

 

  • Self-adaptive inertial subgradient-like extragradient method for bilevel split pseudomonotone variational inequality with CFPP constraint in Banach spaces
    L.-C. Ceng, H. U. Rehman, D. Ghosh, J.-C. Yao, X. Zhao 
    Fixed Point Theory26(1) (2025) 57-90  

 

  • On quasi-inertial double extragradient-type iterations for variational inequalities and Bregman relatively asymptotically nonexpansive mapping
    L-C Ceng, D Ghosh, H Rehman, J-C Yao, X Zhao
    Optimization Engineering26 (2025) 1069–1111

 

  • On the Convergence Analysis of a Proximal Gradient Method for Multiobjective Optimization 
    X. Zhao, D. Ghosh, X. Qin, C. Tammer, J.C. Yao 
    TOP: Transactions in Operations Research33 (2025) 102–132  

 

  • Steepest Descent Method for Uncertain Multiobjective Optimization Problems Under Finite Uncertainty Set 
    Shubham Kumar, Md Abu T Ansary, Nihar Kumar Mahato, Debdas Ghosh
    Applicable Analysis104(7) (2025) 1163–1184 

 

  • A Modified Quasi-Newton Method  for Uncertain Multiobjective Optimization Problems Under Finite Uncertainty Set
    S. Kumar, N. K. Mahato, M. A. T. Ansary, Debdas Ghosh, S. Treant
    Engineering Optimization57(5)  (2025) 1392–1421 

 

  • Generalized Ordered Weighted Aggregation Robustness to Solve Uncertain Single Objective Optimization Problems 
    N. Kishor, D. Ghosh, X. Zhao 
    Journal of Nonlinear and Convex Analysis26(3) (2025) 623-652 

 

  • A Newton Method for Uncertain Multiobjective Optimization Problems with Finite Uncertainty Set
    Debdas Ghosh, N. Kishor, X. Zhao
    Journal of Nonlinear and Variational Analysis9 (2025) 81–110 

 

  • Inexact Newton Method for Solving Generalized Nash Equilibrium Problems
    Abhishek Singh, Debdas Ghosh, QH Ansari 
    Journal of Optimization Theory and Applications201 (2024) 1333–1363 

 

  • Generalized Ordered Weighted Aggregation Robustness: A New Robust Counterpart to Solve Uncertain Multi-objective Optimization Problems
    Debdas Ghosh, Nand Kishor 
    Engineering OptimizationAccepted Manuscript, 2024 

 

  • Nonlinear Conjugate Gradient Methods for Unconstrained Set Optimization Problems whose Objective Functions have Finite Cardinality
    K. Kumar, D. Ghosh, J-C Yao, X Zhao
    OptimizationAccepted Manuscript, 2024 

 

 

  • A projected gradient method for constrained set optimization problems with set-valued mappings of finite cardinality 
    D Ghosh, K Kumar, J-C Yao, and X Zhao 
    Engineering OptimizationAccepted Manuscript, 2024 

 

  • A Study on Fuzzy Sphere and Fuzzy Cone
    D. Gupta, D. Ghosh, T. Som 
    Information Sciences675 (2024) 120755  

 

 

  • A Projection-type Hybrid Conjugate Gradient Method for Multiobjective Optimization Problems with Application to an SIR Model
    D. Ghosh, A. Upadhyay, Z-Y Peng, Jauny 
    Journal of Nonlinear and Convex AnalysisAccepted Manuscript, 2024 

 

  • Second-Order Strong Optimality and Duality for Nonsmooth Multiobjective Fractional Programming with Constraints
    J. Chen, L. Liu, Y. Lv, Debdas Ghosh, J.-C. Yao
    Positivity28 (2024) 36  

 

  • A new type of Ekeland's principle and its applications 
    M. Ghobadi, A. Farajadeh, D. Ghosh 
    Journal of Nonlinear and Convex AnalysisAccepted Manuscript, 2024 

 

  • Extragradient Methods with Dual Inertial Steps for Solving Equilibrium Problems
    H. Rehman, D. Ghosh, J. C. Yao, X. Zhao 
    Applicable Analysis103(16) (2024) 2941–2976 

 

  • An inexact proximal point method with quasi-distance for quasi-convex multiobjective optimization
    X. Zhao, H. Ji, Debdas Ghosh, J. C. Yao 
    Positivity28 (2024) 43  

 

  • A Nonmonotone Conditional Gradient Method for Multiobjective Optimization Problems
    A. Upadhayay, Debdas Ghosh, Jauny, J. C. Yao, X. Zhao
    Soft Computing28 (2024) 9609–9630  

 

 

  • Improved Nonmonotone Adaptive Trust-region Method to Solve Generalized Nash Equilibrium Problems
    Abhishek Singh, Krishan Kumar, Debdas Ghosh
    Journal of Nonlinear and Convex Analysis25 (1) (2024) 11-29

 

  • Generalized Hukuhara Hadamard Derivative of Interval-valued Functions and Its Applications to Interval Optimization
    RS Chauhan, Debdas Ghosh, QH Ansari 
    Soft Computing, 28 (2024) 4107–4123 

 

  • Numerical Integrator based on Implicit Euler Discretization of Twisting Control Algorithm
    Bhawana Singh, Xiaogang Xiong, Debdas Ghosh, Shyam Kamal 
    IEEE International Workshop on Variable Structure Systems (VSS),  2024, 46-50

 

 

  • Generalized Hukuhara Weak Subdifferential and its Application on Identifying Optimality Conditions for Nonsmooth Interval-valued Functions
    S. Ghosh, D. Ghosh, A. Pretrusel, X. Zhao
    Journal of Nonlinear and Variational Analysis8(2) (2024) 333-368 


 

 

  • Characterization Of E-Benson Proper Efficient Solutions of Vector Optimization Problems With Variable Ordering Structures in Linear Spaces
    J-W Peng, W-B Wei, Debdas Ghosh, J-C Yao 
    Journal of Nonlinear and Variational Analysis8(4) (2024) 659-680

 

  • A globally convergent improved BFGS method for generalized Nash equilibrium problem 
    Abhishek Singh, Debdas Ghosh
    SeMA JournalAccepted Manuscript, 81 (2024) 235-261   

 

  • Hukuhara Dini Hadamard ε-Subdifferential and Hε-subgradient and their Applications in Interval Optimization
    Anshika, Krishan Kumar, Debdas Ghosh
    Journal of Applied and Numerical Optimization6(2) (2024) 177-202  

 

 

  • An Infeasible Interior-Point Technique to Generate the Nondominated Set for Multiobjective Optimization Problems 
    Jauny, Debdas Ghosh, Q. H. Ansari, Matthias Ehrgott, A. Upadhayay 
    Computers and Operations Research155 (2023) 106236  

  

  • Generalized Hukuhara Global Subdifferentiability in Interval Optimization Problems
    Anshika, Krishan Kumar, Debdas Ghosh 
    Fuzzy Optimization, Decision-making and Operations Research: Theory and ApplicationsSpringer, 135--160, 2023 

 

  • Cone Method for Uncertain Multiobjective Optimization Problems with Minmax Robustness
    Ashutosh Upadhayay, Debdas Ghosh, Jauny, Nand Kishor 
    Combinatorial Optimization Under UncertaintyAccepted Manuscript, 2023 

 

  • Quasi-Newton Methods for Multiobjective Optimization Problems: A Systematic Review 
    K. Kumar, Debdas Ghosh, A. Upadhayay, J.C. Yao, X. Zhao
    Applied Set-Valued Analysis and Optimization5(2) (2023) 291-321 

 

  • Normal and Tangent Cones for Set of Intervals and their Application in Optimization with Functions of Interval Variables
    Suprova Ghosh, Debdas Ghosh, Anshika 
    Soft Computing27 (2023) 10737–10758

 

  • Newton's Method for Uncertain Multiobjective Optimization Problems Under Finite Uncertainty Set
    S. Kumar, M. A. T. Ansary, N. K. Mahato, Debdas Ghosh, Y. Shehu
    Journal of Nonlinear and Variational Analysis7 (5) (2023) 785-809

 

  • Subgradient Extragradient with Extrapolation Procedure for Bilevel Split Variational Inequality
    Lu-Chuan Ceng, Debdas Ghosh, Yekini Shehu, Jen-Chih Yao
    Journal of Inequalities and Applications2023 (2023) 14  

 

 

 

 

 

 

 

 
 


 


 


 

 

 

 

 

 

 


 

  

 

 

 

 

 

 

   

   

   


 


 


 

 
 

 

 

 

 

 

   

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 



 



 

  • Fuzzy ideal cone method for capturing the entire fuzzy non-dominated set of a fuzzy multi-criteria optimization problem 
    Silver Jubilee Lecture Series, MIU            
    Indian Statistical Institute Kolkata           
    08-Mar-2018 

 

  • Real Analysis through Analytical Geometry 
    Balurghat College Mathematics Camp 2018            
    Balurghat College, Dakshin Dinajpur, West Bengal           
    28--30-Oct-2018 

 

  • A fuzzy Geometrical Viewpoint to Solve Fuzzy Multiobjective Optimization Problems
    Short Term Training Programme on Fuzzy Sets and Applications 2018            
    SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu
    10-Nov-2018 

 

  • A  Detour of Geometrical and Mathematical Viewpoint of Optimality Conditions
    QIP Sponsored STC on Deep Learning: Theory & Practice 2018           
    Department of Computer Science and Engineering, IIT (BHU) Varanasi,  
    17-Dec-2018 


 

  • Fuzzy and Interval Optimization for Support Vector Machine Problems  
    Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 
    Shenzhen, China           
    10-July-2019 

 

  • A geometrical visit to optimality conditions and duality theory for smooth optimization problems
    Department of Mathematics, Dibrugarh University, 
    Assam, India           
    11-Nov-2019  

 

  • Nonlinear programming
    QIP Sponsored STC on Operations Research: Principles and Applications 2020           
    Department of Mechanical Engineering, IIT (BHU) Varanasi,  
    03-Jan-2020 

 

  • A cone method for capturing the non-dominated set of a fuzzy multi-criteria optimization
    Indo-French Seminar on Optimization, Variational Analysis and Applications 2020           
    Department of Mathematics, Banaras Hindu University, Varanasi,  
    04-Feb-2020 

 

  • Unconstrained Optimization Techniques   
    FDP on Optimization Techniques & Applications, Sept 21--25, 2020           
    Department of Computer Science and Engineering, NIT Andhra Pradesh
    24-Sep-2020 

 

  • Nonlinear optimization
    FDP on Recent Advances in Control Systems, Oct 17--21, 2020 
    Department of Electrical Engineering, MMMUT, Gorakhpur 
    20-Oct-2020 

 

  • A modern method of optimization 
    STTP on Fractional Order Robust Control System Design (Series I)           
    Department of Electrical and Electronics Engineering, Vardhaman College of Engineering, Hyderabad   
    31-Oct-2020 

 

  • Interior point methods in continuous optimization 
    Lecture Series on Optimization Technique            
    Department of Mathematics & Statistics, King Fahd University of Petroleum and Minerals, Saudi Arabia
    08-Nov-2020 and 11-Nov-2020

 

  • Coffee-time with fuzzy geometrical ideas and its application on fuzzy multicriteria optimization problems
    International Conference on Applied Mathematics, June 8--9, 2022 
    Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, West Bengal 
    09-June-2022 

 

  • A detour of trust-region methods in optimization 
    International workshop on Optimization Techniques in Industrial and Engineering Applications
    Department of Mathematics, VIT AP 
    07-Jan-2023 

 

  • A nonmonote quasi-Newton method for solving set optimization problems 
    International Conference on Variational Analysis and Optimization with Applications 
    Department of Mathematics, Aligarh Muslim University 
    24-Sep-2023 

 

  • Coffee-time with Lagrange multipliers for constrained optimization 
    School of Mathematics and Information Science, Hebei University, China 
    25-April-2024 

 

  • Quasi-Newton Method for Set Optimization Problems with Nonmonotone Line Search
    International Conference on Multiobjective Optimization and Applications 2024  
    School of Information and Mathematics, Yangtze University, China 
    27-April-2024 

 

  • Generalized Hukuhara Weak Subdifferential and Its Application on Nonsmooth Interval Optimization 
    School of Mathematics and Statistics, Chongqing Jiaotong University, China 
    31-May-2024 

 

  • An infeasible interior-point technique to generate the nondominated set for multiobjective optimization problems
    School of Mathematical Sciences, Chongqing Normal University, China 
    05-June-2024 

 

  • Nonlinear conjugate gradient methods for unconstrained set optimization problems whose objective functions have finite cardinality
    International Workshop on Applied Analysis and Optimization 2024, 
    Research Center for Interneural Computing, China Medical University, Taichung, Taiwan  
    29-June-2024

 

  • Conjugate descent method for set optimization problems 
    Beijing Institute of Technology, China
    06-December-2024 

 

  • Quasi-Newton method for set optimization problems 
    College of Mathematics and Information Sciences, Hebei University, China 
    12-December-2024 

 

  • Infeasible interior-point method for solving multi-objective optimization problems 
    Chongqing Technology and Business University, China 
    14-December-2024 

 

  • PRP, DY and FR conjugate gradient methods for set-valued optimization problems 
    School of Mathematical Sciences, Chongqing Normal University, China 
    18-December-2024 

 

  • Conjugate gradient techniques for unconstrained set optimization problems 
    Chongqing Operations Research Society Conference 2024, Chongqing Jiaotong University, China 
    23-December-2024 

 

  • Nonlinear conjugate gradient methods for unconstrained set optimization problems whose objective functions have finite cardinality
    3rd One Week International Workshop on Recent Trends in Optimization Techniques for Challenging Engineering Applications 
    VIT University, Amaravati, India 
    25-January-2025

 

  • On infeasible interior-point technique for multiobjective optimization problems
    International Workshop on Applied Analysis and Optimization 2025 
    Research Center for Interneural Computing, China Medical University, Taiwan  
    13-February-2025

 

  • Infeasible interior point method for multi-objective optimization 
    International Workshop on Theory and Applications of Optimization in Machine Learning
    VIT-AP, University, Andhra Pradesh 
    06-April-2025

 

  • The technique of cubic regularization of Newton's method in vector optimization 
    National Conference on Nonlinear Analysis, Control and Optimization  
    Indian Institute of Technology (ISM), Dhanbad 
    04-July-2025

 

  • Cubic Regularization Technique of the Newton Method for Vector Optimization
    First International Workshop on Mathematical Optimization: Theory and Applications 
    Yunnan Normal University, Kunming, Yunnan, China
    17-July-2025

 

  • Coffee time with the applications of optimization with machine learning 
    Amity University, Kolkata 
    25-July-2025

 

  • Coffee time with Lagrange multipliers for constrained optimization  
    UGC-Sponsored Refresher Course on Mathematical Sciences 
    North Bengal University, Kolkata 
    19-Nov-2025

 

  • A detour on multivariable calculus   
    Problem-Solving Camp 
    North Bengal University, Kolkata 
    6-8 January 2026 

 

  • Artificial Intelligence and Machine Learning: A Mathematical Optimization Perspective 
    VIT University, Andhra Pradesh, FDP on RADS 2026 
    26-January-2026

 

 

 

 

 



 

  • Fourth International Conference on Mathematics and Computing 2018, IIT (BHU) Varanasi
    Organizing Chair: Debdas Ghosh 
    January 09-11, 2018 


 

  • First International Conference on Mathematical Optimization: Theory and Applications, 2026, IIT (BHU) Varanasi
    Organizing Chair: Debdas Ghosh 
    March 14-16, 2026 

 

 

 

 

 

  • Institute: National Sun Yat-Sen University, Taiwan  
    Period: 03 October to 27 October 2022 (Visiting Professor)

 

  • Institute: National Sun Yat-Sen University, Taiwan  
    Period: 18 October to 15 November 2023 (Visiting Professor)

 

  • Institute: Hebei University, China   
    Period: 24 April to 30 April 2024 (Visiting Professor) 

 

  • Institute: Chongqing Normal University, China   
    Period: 30 May to 15 June 2024 (Visiting Professor)  

 

  • Institute: National Sun Yat-Sen University, Taiwan  
    Period: 21 June to 5 July 2024 (Visiting Professor)

 

  • Institute: China Medical University, Taiwan  
    Period: 31 August to 11 September 2024 (Visiting Professor)

 

  • Institute: Hebei University and Chongqing Jiaotong University, China   
    Period: 08 to 24 December 2024 (Visiting Professor) 

 

  • Institute: China Medical University, Taiwan  
    Period: 09 to 14 February 2025 (Visiting Professor)

 

  • Institute: Yunnan Normal University, China 
    Period: 14 to 20 July 2025 (Invited talks)

 

 

 

 

 

 

 

      Editor in Chief of 

  • Applicable Nonlinear Analysis, Tulipa Opera Scholarum 

 

     Editorial board member of 

  • Journal of Optimization Theory and Applications, Springer 
  • Annals of Mathematical Sciences and Applications, International Press of Boston
  • Journal of Mathematics, Wiley 
  • Scientific Reports, Nature 

 

     Guest editor of 

  • Optimization, Taylor and Francis 
  • Journal of Nonlinear and Convex Analysis, Yokohama publisher, Japan 
  • Applied Analysis and Optimization, Yokohama publisher, Japan 
  • Positivity, Springer 
  • Journal of Global Optimization, Springer