Shashank Sheshar Singh is an Assistant Professor in the Department of Computer Science and Engineering, Faculty of Engineering and Technology, South Asian University, New Delhi, India. Prior to that, he also worked as an assistant professor at the Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology (TIET), Patiala, Punjab, and the Department of Computer Science and Engineering, Bennett University, Greater Noida, India. He completed his Ph.D. in Computer Science and Engineering from the Indian Institute of Technology (BHU), Varanasi, and he completed his M.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Roorkee. He has published more than 65 peer-reviewed scientific papers in well-known journals and conferences, including IEEE Transactions on Network Science and Engineering, IEEE Transactions on Sustainable Computing, IEEE Transactions on Computational Social Systems, IEEE Access, ACM Computing Surveys, Information Fusion, Applied Soft Computing, Knowledge-Based Systems, ACM Transactions on the Web, and more. He is also serving on the Editorial Board of the Scientific Reports and Frontiers in Education. His research interests include social media, complex networks, quantum computing, data mining, image processing, and computational intelligence.
Ph.D., Indian Institute of Technology (BHU), Varanasi, 2020
Social media, Complex networks, Quantum computing, Data mining, Image processing, and Computational intelligence
Sunil Kumar Meena, Shashank Sheshar Singh, and Kuldeep Singh, "Achieving Fair Influence Maximization: Integrating Privacy, Diversity, and Temporal Fairness", in Transactions on Network Science and Engineering, IEEE, 2025.
Shashank Sheshar Singh, Sumit Kumar, Avadh Kishor, and Albert Y. Zomaya, "Advancing Sustainability Through Social Media: A Comprehensive Survey", in Transactions on Sustainable Computing, IEEE, 2025.
Shashank Sheshar Singh, Shashank Singh, Kuldeep Singh, Vishal Srivastava, and Harish Kumar Shakya, "Big Data meets Social Networks: A Survey of Analytical Strategies and Research Challenges", in IEEE Access, 2025.
Sunil Kumar Meena, Shashank Sheshar Singh, and Kuldeep Singh, "Exploring Influence Maximization in Criminal Social Networks to Identify Key Individuals and Patterns", in Transactions on Computational Social Systems, IEEE, 2025.
Rajeev Tiwari, Sumit Kumar, Shashank Sheshar Singh, and Harish Kumar Shakya, "Cache Invalidation-based Optimization in Next Generation Wireless Network: Taxonomy, Review, and Future Directions", in IEEE Access, 2025.
Shashank Sheshar Singh, Sumit Kumar, Rohit Ahuja, and Jayendra Barua, "Fusion of Quantum Computing and Explainable AI: A Comprehensive Survey on Transformative Healthcare Solutions", in Information Fusion, Elsevier, 2025.
Sunil Kumar Meena, Shashank Sheshar Singh, and Kuldeep Singh, "Pruning-enabled Dynamic Influence Maximization using Antlion Optimization", in Knowledge-Based Systems, Elsevier, 2025.
Sunil Kumar Meena, Shashank Sheshar Singh, and Kuldeep Singh, "DCDIM: Diversified Influence Maximization on Dynamic Social Networks", in Computer Communications, Elsevier, 2025.
Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, and Samya Muhuri, "Information Diffusion Analysis: Process, Model, Deployment and Application", in The Knowledge Engineering Review, Cambridge University Press, 2025.
Shashank Sheshar Singh, Samya Muhuri, Sumit Kumar, and Jayendra Barua, "From Nodes to Knowledge: Exploring Social Network Analysis in Education", in Transactions on the Web, ACM, 2024.
Shashank Sheshar Singh, Sumit Kumar, Sunil Kumar Meena, Kuldeep Singh, Shivansh Mishra, and Albert Y. Zomaya, "Quantum Social Network Analysis: Methodology, Implementation, Challenges, and Future Directions", in Information Fusion, Elsevier, 2024.
Sunil Kumar Meena, Shashank Sheshar Singh, and Kuldeep Singh, "Diversified Budgeted Influence Maximization in Dynamic Network", in Transactions on Computational Social Systems, IEEE, 2024.
Sunil Kumar Meena, Shashank Sheshar Singh, and Kuldeep Singh, “Cuckoo Search Optimization-Based Influence Maximization in Dynamic Social Networks", in Transactions on the Web, ACM, 2024.
Vishal Srivastava, Shashank Sheshar Singh, Ankush Jain, "Partition Clustering in Complex Weighted Networks Using K-Cut Ranking and Krill-herd Optimization", in Transactions on Network Science and Engineering, IEEE, 2024.
Samya Muhuri and Shashank Sheshar Singh, "Quantum-Social Network Analysis for Community Detection: A Comprehensive Review", in Transactions on Computational Social Systems, IEEE, 2024.
Sunil Kumar Meena, Shashank Sheshar Singh, and Kuldeep Singh, “DCDIMB: Dynamic Community-based Diversified Influence Maximization using Bridge Nodes”, in Transactions on the Web, ACM, 2024.
Shashank Sheshar Singh, Samya Muhuri, Shivansh Mishra, Divya Srivastava, Harish Kumar Shakya, and Neeraj Kumar, "Social Network Analysis: A Survey on Process, Tools, and Application", in Computing Surveys, ACM, 2024.
Sneha Mishra, Shashank Sheshar Singh, Shivansh Mishra, and Bhaskar Biswas, "Multi-objective based unbiased community identification in dynamic social networks", in Computer Communications, Elsevier, 2023.
Shashank Sheshar Singh, Samya Muhuri, and Vishal Srivastav, "BT-LPD: B+ Tree-inspired Community-based Link Prediction in Dynamic Social Networks", in Arabian Journal for Science and Engineering, Springer, 2023.
Divya Srivastva, Shashank Sheshar Singh, Rajitha B, Madhushi Verma, Manjit Kaur, and Heung-No Lee, "Content-based Image Retrieval: A Survey on Local and Global Features Selection, Extraction, Representation and Evaluation Parameters"; in IEEE Access, 2023.
Vishal Srivastava and Shashank Sheshar Singh, "A meta-heuristics based framework of cluster label optimization in MR images using stable random walk", in Multimedia Tools and Applications, Springer, 2023.
Mukesh Kumar, Shivansh Mishra, Shashank Sheshar Singh, and Bhaskar Biswas, "Community Enhanced Link Prediction in Dynamic Networks", in Transactions on the Web, ACM, 2022.
Shivansh Mishra, Shashank Sheshar Singh, Ajay Kumar, and Bhaskar Biswas, "ELP: Link prediction in social networks based on ego network perspective", in Physica A: Statistical Mechanics and its Applications, Elsevier, 2022, ISSN: 0378-4371.
Vishal Srivastava, Shashank Sheshar Singh, and Bhaskar Biswas, "Manifold Preserving Features and Regression for Semantic Labelling in High Dimensional Images", in Wireless Personal Communications, Springer, 2022.
Shashank Sheshar Singh, Vishal Srivastava, Ajay Kumar, Shailendra Tiwari, Dilbag Singh, and Heung-No Lee, "Social Network Analysis: A Survey on Measure, Structure, Language Information Analysis, Privacy, and Applications", Transactions on Asian and Low-Resource Language Information Processing, ACM, 2022.
Shivansh Mishra, Shashank Sheshar Singh, Ajay Kumar, and Bhaskar Biswas, "HOPLP-MUL: Link Prediction in Multiplex Networks based on Higher Order Paths and Layer Fusion"; in Applied Intelligence, Springer, 2022.
Shashank Sheshar Singh, Divya Srivastva, Ajay Kumar, and Vishal Srivastava, "FLP-ID: Fuzzy-based Link Prediction in Multiplex Social Networks using Information Diffusion Perspective", in Knowledge-Based Systems, Elsevier, 2022.
Shivansh Mishra, Shashank Sheshar Singh, Ajay Kumar, and Bhaskar Biswas, "MNRELP-MUL: Merged Node and Edge Relevance based Link Prediction in Multiplex Networks", in Journal of Computational Science, Elsevier, 2022.
Shashank Sheshar Singh, Divya Srivastava, Madhushi Verma, and Jagendra Singh, “Influence Maximization Frameworks, Performance, Challenges and Directions: A Theoretical Study", in Journal of King Saud University - Computer and Information Sciences, Elsevier, 2021.
Sneha Mishra, Shashank Sheshar Singh, Shivansh Mishra, and Bhaskar Biswas, "TCD2: Tree-based community detection in dynamic social networks", in Expert Systems with Applications, Elsevier, 2021, ISSN: 0957-4174.
Ajay Kumar, Shashank Sheshar Singh, Kuldeep Singh, and Bhaskar Biswas, "Link Prediction Techniques, Applications, and Performance: A Survey", in Physica A: Statistical Mechanics and its Applications, Elsevier, 2020, ISSN: 0378-4371.
Shashank Sheshar Singh, Shivansh Mishra, Ajay Kumar, and Bhaskar Biswas, "CLP-ID: Community-based Link Prediction using Information Diffusion Perspective", in Information Sciences, Elsevier, 2020, ISSN: 0020-0255.
Shashank Sheshar Singh, Kuldeep Singh, Ajay Kumar, and Bhaskar Biswas, "ACO-IM: maximizing influence in social networks using ant colony optimization", in Soft Computing, Springer, 2020, ISSN: 1433-7479.
Ajay Kumar, Shivansh Mishra, Shashank Sheshar Singh, Kuldeep Singh, and Bhaskar Biswas, "Link Prediction in Complex Networks Based on Significance of Higher-Order Path Index (SHOPI)", in Physica A: Statistical Mechanics and its Applications, Elsevier, 2020, ISSN: 0378-4371.
Shashank Sheshar Singh, Ajay Kumar, Kuldeep Singh, and Bhaskar Biswas, "LAPSO-IM: A learning-based influence maximization approach for social networks", in Applied Soft Computing, Elsevier, 2019, ISSN: 1568-4946.
Shashank Sheshar Singh, Kuldeep Singh, Ajay Kumar, and Bhaskar Biswas, "MIM2: Multiple Influence Maximization across Multiple Social Networks", in Physica A: Statistical Mechanics and its Applications, Elsevier, 2019, ISSN: 0378-4371.
Shashank Sheshar Singh, Ajay Kumar, Kuldeep Singh, and Bhaskar Biswas, "IM-SSO: Maximizing influence in social networks using social spider optimization", in Concurrency and Computation: Practice and Experience, Wiley, 2019, ISSN: 1532-0634.
Shashank Sheshar Singh, Ajay Kumar, Kuldeep Singh, and Bhaskar Biswas, "C2IM: Community-based Context-aware Influence Maximization in Social Networks", in Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514, pp. 796 –818, 2019, ISSN: 0378-4371.
Ajay Kumar, Shashank Sheshar Singh, Kuldeep Singh, and Bhaskar Biswas, "Level-2 node clustering coefficient-based link prediction", in Applied Intelligence, Springer, 2019, ISSN: 1573-7497.
Kuldeep Singh, Ajay Kumar, Shashank Sheshar Singh, Harish Kumar Shakya, and Bhaskar Biswas, "EHNL: An efficient algorithm for mining high utility itemsets with negative utility value and length constraints", in Information Sciences, Elsevier, 2019, ISSN: 0020-0255.
Kuldeep Singh, Shashank Sheshar Singh, Ajay Kumar, and Bhaskar Biswas, "TKEH: an efficient algorithm for mining top-k high utility itemsets", in Applied Intelligence, Springer, 2018, ISSN: 1573-7497.
Kuldeep Singh, Shashank Sheshar Singh, Ajay Kumar, and Bhaskar Biswas, "High utility itemsets mining with negative utility value: A survey", in Journal of Intelligence and Fuzzy Systems (JIFS), IOS Press, 2018, ISSN: 1064-1246.