Kuldeep Singh

Influence Maximization:
Influence Maximization (IM) is a key problem in social network analysis that focuses on identifying a small set of influential nodes (individuals) that can maximize the spread of information, ideas, or behaviors through the network. My research primarily focuses on diversified and fair influence maximization.
High Utility Itemset Mining:
High Utility Itemset Mining (HUIM) is an advanced data mining technique that extends traditional frequent itemset mining by considering both the frequency and the utility of items—such as their profit, importance, or weight. HUIM identifies itemsets that provide high overall utility, even if they appear infrequently. The goal is to find all itemsets whose total utility exceeds a user-defined threshold. My research primarily focuses on constrained high utility itemset mining.

Title: Mining of High Utility Sequential Patterns using Evolutionary Techniques
Duration: Three years (August 01, 2022 to July 31, 2025).
Funding Agency: Institution of Eminence, University of Delhi, Delhi.
Sanctioned Budget: Rs. 10,30,000/-
Status: Completed

Title: QR-AR based Smart Indoor Navigation with Crowd ManagementTechniques
Duration: One Year (October 29, 2021 to June 30, 2022).
Funding Agency: Institution of Eminence, University of Delhi, Delhi.
Sanctioned Budget: Rs. 1,75,000/-
Status: Completed

Research Publication Award Grant
Against our paper titled “Diversified Budgeted Influence Maximization in Dynamic Social Networks", published in the top-ranked Q1 journal IEEE Transactions on Computational Social Systems.
Awarding Agency: Institution of Eminence, University of Delhi, Delhi.
Amount: Rs. 70,000/-
Year: Nov, 2024

Research Publication Award Grant
Against our paper titled “DCDIM: Diversified influence maximization on dynamic social networks", published in the top-ranked Q1 journal 'Computer Communications.
Awarding Agency: Institution of Eminence, University of Delhi, Delhi.
Amount: Rs. 35,000/-
Year: May, 2025



  • Sunil Kumar Meena, Shashank Sheshar Singh, Kuldeep Singh, Achieving Fair Influence Maximization: Integrating Privacy, Diversity, and Temporal Fairness, IEEE Transactions on Network Science and Engineering, Impact Factor: 7.9, ISSN:2327-4697, volume xxx, issue-xx, pages 1-14, DOI:10.1109/TNSE.2025.3598819.
  • Sunil Kumar Meena, Shashank Sheshar Singh, Kuldeep Singh, Exploring Influence Maximization in Criminal Social Networks to Identify Key Individuals and Patterns, IEEE Transactions on Computational Social Systems, Impact Factor: 4.9, ISSN:2329-924X, volume xxx, issue-xx, pages 1-10, DOI:10.1109/TCSS.2025.3571963
  • 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, IEEE Access, Impact Factor: 3.6, ISSN: 2169-3536, volume 13, issue-xx, pages 98668-98698, DOI:10.1109/ACCESS.2025.3576143.
  • Sunil Kumar Meena, Kuldeep Singh, Bhaskar Biswas, Fairness-aware influence maximization: A novel Learning Automata-based approach, Expert Systems with Applications (Elsevier), Impact Factor: 7.5, ISSN: 0957-4174, volume 280, pages 1-13 (127445), DOI:10.1016/j.eswa.2025.127445.
  • Rajiv Kumar, Kuldeep Singh, Mining of High Utility Itemsets from Incremental Datasets: A Survey, The Knowledge Engineering Review (Cambridge University Press), Impact Factor: 2.0, ISSN: 0269-8889, volume 40, issue-e1, pages 1-46, DOI:10.1017/S0269888925000013.
  • Sunil Kumar Meena, Shashank Sheshar Singh, Kuldeep Singh, Pruning-enabled dynamic influence maximization using antlion optimization, Knowledge-Based Systems (Elsevier), Impact Factor: 7.6, ISSN: 0950-7051, volume 317, pages 1-13 (113406), DOI:10.1016/j.knosys.2025.113406.
  • Rishabh, Dhirendra Kumar, Yogendra Meena and Kuldeep Singh, Respiratory sound classification utilizing human auditory-based feature extraction, Physica Scripta (IOP Science), Impact Factor: 2.6, ISSN: 0031-8949, volume 100, issue-4, pages 1-13 (046003), DOI:10.1088/1402-4896/adb80f.
  • Sunil Kumar Meena, Shashank Sheshar Singh, Kuldeep Singh, DCDIM: Diversified Influence Maximization on Dynamic Social Networks, Computer Communications (Elsevier), Impact Factor: 4.3, ISSN:0140-3664, volume 232, issue-xx, pages 108045, DOI:10.1016/j.comcom.2025.108045.
  • Rajiv Kumar, Kuldeep Singh, Top-k High Utility Itemset Mining: Current status and Future directions, The Knowledge Engineering Review (Cambridge University Press), Impact Factor: 2.0, ISSN: 0269-8889, volume 39, pages 1-61, DOI:10.1017/S0269888924000055.
  • Shashank Sheshar Singh, Sumit Kumar, Sunil Kumar Meena, Kuldeep Singh, Shivansh Mishra, Albert Y. Zomaya, Quantum social network analysis: Methodology, implementation, challenges, and future directions, Information Fusion (Elsevier), Impact Factor: 15.5, ISSN: 1566-2535, volume 117, pages 102808, DOI:10.1016/j.inffus.2024.102808.
  • Sunil Kumar Meena, Shashank Sheshar Singh, Kuldeep Singh, Diversified Budgeted Influence Maximization in Dynamic Social Networks, IEEE Transactions on Computational Social Systems, Impact Factor: 4.9, ISSN:2329-924X, volume xxx, issue-xx, pages 1-13, DOI:10.1109/TCSS.2024.3473948.
  • Sunil Kumar Meena, Shashank Sheshar Singh, Kuldeep Singh, Cuckoo Search Optimization-Based Influence Maximization in Dynamic Social Networks, ACM Transactions on the Web, Impact Factor: 4.1, ISSN: 1559-1131, volume 18, issue-4, pages 1-25, DOI:10.1145/3690644.
  • Sunil Kumar Meena, Shashank Sheshar Singh, Kuldeep Singh, DCDIMB: Dynamic Community-based Diversified Influence Maximization using Bridge Nodes, ACM Transactions on the Web, Impact Factor: 4.1, ISSN: 1559-1131, volume 18, issue-4, pages 1-33, DOI:10.1145/3664618.
  • Kuldeep Singh, Bhaskar Biswas, Mining top-k high on-shelf utility itemsets using novel threshold raising strategies, ACM Transactions on Knowledge Discovery from Data, Impact Factor: 4.8, ISSN: 1556-4681, volume 18, issue-5, pages 1-23, DOI:10.1145/3645115.


  • Rajiv Kumar, Kuldeep Singh, High Utility Itemsets Mining from Transactional Databases: A Survey, Applied Intelligence (Springer), Impact Factor: 3.5, ISSN: 0924-669X, volume 53, issue-22, pages 27655-27703, DOI:10.1007/s10489-023-04853-5.


  • Rajiv Kumar, Kuldeep Singh, A Survey on Soft Computing based High Utility Itemsets Mining, Soft Computing (Springer), Impact Factor: 2.5, ISSN: 1432-7643, volume 26, issue 13, pages 6347-6392, DOI:10.1007/s00500-021-06613-4.


  • Kuldeep Singh, Rajiv Kumar, Bhaskar Biswas, High Average-Utility Itemsets Mining: A Survey, Applied Intelligence (Springer), Impact Factor: 3.5, ISSN: 0924-669X, volume 52, issue-4, pages 3901-3938, DOI: 10.1007/s10489-021-02611-z.


  • Ajay Kumar, Shashank Sheshar Singh, Kuldeep Singh, Bhaskar Biswas, Link Prediction Techniques, Applications, and Performance: A Survey, Physica A: Statistical Mechanics and its Applications (Elsevier), Impact Factor: 3.1, ISSN: 0378-4371, volume 553, pages 124289, DOI: 10.1016/j.physa.2020.124289.
  • Harish Kumar Shakya, Kuldeep Singh, Yashvardhan Singh More, Bhaskar Biswas, Opposition-Based Genetic Algorithm for Community Detection in Social Networks, Proceedings of the National Academy of Sciences, India Section A: Physical Sciences (Springer), Impact Factor: 1.2, ISSN: 0369-8203, volume 90, issue 4, pages 251-263, DOI: 10.1007/s40010-020-00716-7.
  • Ajay Kumar, Shivansh Mishra, Shashank Sheshar Singh, Kuldeep Singh, Bhaskar Biswas, Link Prediction in Complex Networks Based on Significance of Higher-Order Path Index (SHOPI), Physica A: Statistical Mechanics and its Applications (Elsevier), Impact Factor: 3.1, ISSN: 0378-4371, volume 545, pages 123790, DOI: 10.1016/j.physa.2019.123790.


  • Shashank Sheshar Singh, Kuldeep Singh, Ajay Kumar, Bhaskar Biswas, ACO-IM: Maximizing influence in social networks using ant colony optimization, Soft Computing (Springer), Impact Factor: 2.5, ISSN: 1432-7643, volume 24, pages 10181-10203, DOI:10.1007/s00500 − 019 − 04533 − y.
  • Shashank Sheshar Singh, Ajay Kumar, Kuldeep Singh, Bhaskar Biswas, LAPSO-IM: Maximizing influence in social networks using learning automata based discrete particle swarm optimization, Applied Soft Computing (Elsevier), Impact Factor: 6.6, ISSN: 1568-4946, volume 82, pages 105554, DOI: 10.1016/j.asoc.2019.105554.
  • Shashank Sheshar Singh, Kuldeep Singh, Ajay Kumar, Bhaskar Biswas, MIM2: Multiple Influence Maximization across Multiple Social Networks, Physica A: Statistical Mechanics and its Applications (Elsevier), Impact Factor: 3.1, ISSN: 0378-4371, volume 526, pages 1-22, 2019, DOI: 10.1016/j.physa.2019.04.138.
  • Kuldeep Singh, Bhaskar Biswas, Efficient algorithm for mining high utility pattern considering length constraints, International Journal of Data Warehousing and Mining (IJDWM) (IGI Global), Impact Factor: 0.5, ISSN: 1548-3924, volume 15, issue 3, pages 1-27, DOI: 10.4018/IJDWM.2019070101.
  • Shashank Sheshar Singh, Ajay Kumar, Kuldeep Singh, Bhaskar Biswas, IM-SSO: Maximizing influence in social networks using social spider optimization, Concurrency and Computation: Practice and Experience (Wiley), Impact Factor: 1.5, ISSN: 1532-0634, volume 31, pages e5421, DOI: 10.1002/cpe.5421.
  • Kuldeep Singh, Ajay Kumar, Shashank Sheshar Singh, Harish Kumar Shakya, Bhaskar Biswas, EHNL: An efficient algorithm for mining high utility itemsets with negative utility value and length constraints , Information Sciences (Elsevier), Impact Factor: 6.8, ISSN: 0020-0255, volume 484, Pages 44-70, DOI: 10.1016/j.ins.2019.01.056.
  • Ajay Kumar, Shashank Sheshar Singh, Kuldeep Singh, Bhaskar Biswas, Level-2 Node Clustering Coefficient-based Link Prediction, Applied Intelligence (Springer), Impact Factor: 3.5, ISSN: 0924-669X, volume 49, pages 2762-2779, DOI: 10.1007/s10489-019-01413-8.
  • Shashank Sheshar Singh, Ajay Kumar, Kuldeep Singh, Bhaskar Biswas, C2IM: Community based Context-aware Influence Maximization in Social Networks, Physica A: Statistical Mechanics and its Applications (Elsevier), Impact Factor: 3.1, ISSN: 0378-4371, volume 514, pages 796 - 818, DOI: 10.1016/j.physa.2018.09.142.


  • Kuldeep Singh, Shashank Sheshar Singh, Ajay Kumar, Bhaskar Biswas, TKEH: an efficient algorithm for mining top-k high utility itemsets, Applied Intelligence (Springer), volume 49, issue 3, pages 1078-1097, DOI: 10.1007/s10489-018-1316-x, Impact Factor: 3.5, ISSN: 0924-669X.
  • Kuldeep Singh, Shashank Sheshar Singh, Ajay Kumar, Bhaskar Biswas, High Utility Itemsets Mining with Negative Utility Value: A Survey, Journal of Intelligent and Fuzzy Systems (IOS Press), Impact Factor: 1.0, ISSN: 1064-1246, volume 35, issue 6, Pages 6551-6562, DOI:10.3233/JIFS-18965.
  • Kuldeep Singh, Harish Kumar Shakya, Abhimanyu Singh, Bhaskar Biswas, Mining of high utility itemsets with negative utility, Expert Systems (wiley), Impact Factor: 2.3, ISSN: 1468-0394, volume 36, issue 6, pages 1-23, DOI:10.1111/exsy.12296.
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