Specialization

Social Network Analysis

Email

shashank.sheshar@thapar.edu

Education
•    PhD, Computer Science and Engineering, IIT(BHU), Varanasi (2020) http://www.iitbhu.ac.in/
o    Concentration – Social Network Analysis
o    Title - New Proposal of Influence Maximization on Single and Multiple Social Networks
•    MTech Computer Science and Engineering, IIT Roorkee (2015) http://www.iitr.ac.in/
o    Concentration – Cryptography
o    Title - Stream Cipher Connection Polynomial and Cryptanalysis
•    BTech Computer Science and Engineering, UPTU Lucknow (2012) http://www.aktu.ac.in/
o    Concentration – Computer Network
o    Title - Implementation of WAN using OSPF Protocol and Provides Security with Access-List

Google Scholar Link
Website Link

Experience
1.    Nov. 2021, Assistant Professor, Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab.
2.    Sep. 2020-Nov. 2021, Assistant Professor, Department of Computer Science and Engineering, School of Engineering & Applied Sciences, Bennett University, Greater Noida.
3.    2016-2020, Teaching & Research Assistant, Department of Computer Science and Engineering, IIT(BHU), Varanasi, India.
4.    2013-2015, Teaching Assistant, Department of Computer Science and Engineering, IIT Roorkee, India.
Book Chapter Publications
1.    Divya Srivastava, Madhusi Verma, Shashank Sheshar Singh, and Madhuri Gupta, “DevOps Tools: Silver Bullet for Software Industry”, in Predictive Data Security using AI Insights and Issues of Blockchain, IoT, and DevOps, Springer, 2022.
2.    Shashank Sheshar Singh, Divya Srivastva, Ajay Kumar, and Vishal Srivastava, “NN-LP-CF: Neural Network based Link Prediction on Social Networks using Centrality-based Features” in Deep Learning for Social Media Data Analytics, Springer, 2022.
3.    Shashank Sheshar Singh, Madhushi Verma, Samya Muhuri, and Divya Srivastva, “Role of Centrality Measures in Link Prediction on Fuzzy Social Networks”, in Theory and Applications of Fuzzy, Intuitionistic Fuzzy, and Rough Sets for Data Handling, 2022.
4.    Divya Srivastva, Samya Muhuri, Shashank Sheshar Singh, and Madhushi Verma, “An Extensive Survey on Detection of Malaria Parasites in Blood Images based on Fuzzy Approaches”, in Theory and Applications of Fuzzy, Intuitionistic Fuzzy, and Rough Sets for Data Handling, 2022.
5.    Shashank Sheshar Singh, Shivansh Mishra, Ajay Kumar, and Bhaskar Biswas, “Link Prediction on Social Networks based on Centrality Measures”, in Principles of Social Networking-The New Horizon and Emerging Challenges, Springer, 2021.
6.    Shashank Sheshar Singh, Ajay Kumar, Shivansh Mishra, Kuldeep Singh, and Bhaskar Biswas, “Influence Maximization in Social Networks”, in Optimization in Large Scale Problems, Springer Switzerland, 2019.
Patent Publications
1.    "A Relevance Feedback-based Query Expansion Method using Borda Count and Semantic Similarity Approach", File No. 2021104537, Granted on 15 June, 2022 at IP Australia.
2.    "A System for Skin Cancer Disease Detection using machine learning approach and method thereof", File No. 202211000903 A, Published on 14 Jan, 2022 at IP India.
Journal Publications (SCI/SCIE/SSCI)
1.    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. [Q2,IF 3.778]
2.    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. [Q3, IF 2.017]
3.    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. [Q4, IF 1.471]
4.    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. [Q2, IF 5.019]
5.    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. [Q1, IF 8.139]
6.    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. [Q1, IF 3.817] 
7.    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. [Q1, IF 8.839]
8.    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. [Q1, 8.665]
9.    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. [Q2, IF 3.778]
10.    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. [Q1, IF 8.233]
11.    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. [Q2, IF 3.732]
12.    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. [Q2, IF 3.778]
13.    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. [Q1, IF 8.263]
14.    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. [Q2, IF 3.778]
15.    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. [Q3, IF 1.831]
16.    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. [Q2, IF 3.778]
17.    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. [Q2, IF 5.019]
18.    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. [Q1, IF 8.233]
19.    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. [Q2, IF 5.019]
20.    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. [Q1, IF 1.851]
Journal Publications (Non-SCI)
1.    Shashank Sheshar Singh, Kuldeep Singh, Ajay Kumar, and Bhaskar Biswas, “Influence Maximization on Social Networks: A Study”, in Recent Advances in Computer Science and Communications, Bentham Science, 2021, ISSN: 1874-4796. [Q4]
2.    Kuldeep Singh, Shashank Sheshar Singh, Ajay Kumar, and Bhaskar Biswas, “Mining of Closed High Utility Itemsets: A Survey”, in Recent Advances in Computer Science and Communications, Bentham Science, 2021, ISSN: 1874-4796. [Q4]
3.    Harish Kumar Shakya, Kuldeep Singh, Shashank Sheshar Singh, Ajay Kumar, and Bhaskar Biswas, “Identifying Community Structure in Social Networks Using Node Similarity Based Permanence Concept”, in Journal of Advanced Research in Dynamical and Control Systems, 2018, ISSN: 1943-023X. [Q4]

International Conference Publications
1.    Jagendra Singh, Mohammad Sajid, Chandra Shekhar Yadav, Shashank Sheshar Singh, and Manthan Saini, “A Novel Deep Neural-based Music Recommendation Method considering User and Song Data”, in 6th International Conference on Trends in Electronics and Informatics (ICOEI), IEEE, 2022.
2.    Mukhtar Opeyemi Yusuf, Divya Srivastva, and Shashank Sheshar Singh, “Multiview classification with missing-views through adversarial representation and inductive transfer learning”, in 11th Int’l Advanced Computing Conference (IACC), IEEE, 2021.
3.    Ranjana Sikarwar, Harish Kumar Shakya and Shashank Sheshar Singh, “A Review on Social Network Analysis Methods and Algorithms”, in 13th International Conference on Computational Intelligence and Communication Networks (CICN), IEEE, 2021.
4.    Vishal Srivastava, Naveen Mani Upadhyay, Shashank Sheshar Singh and Ajay Kumar, “Application of Clustering for Edge and Node Based Community Detection in Networks”, in International E-Conference on Computing & Data Science (ICDS), 2021.
5.    Shashank Sheshar Singh, Ajay Kumar, Shivansh Mishra, Kuldeep Singh,and Bhaskar Biswas, “A Centrality Measure for Influence Maximization across Multiple Social Networks”, in Third International Conference on Advanced Informatics for Computing Research (ICAICR-2019), Shimla, India, June 15-16, 2019.
6.    Shashank Sheshar Singh, Kuldeep Singh, Ajay Kumar, and Bhaskar Biswas, “CoIM: Community-Based Influence Maximization in Social Networks”, in Second International Conference on Advanced Informatics for Computing Research (ICAICR-2018) Shimla, India, July 14-15, 2018.
7.    Shashank Sheshar Singh, Kuldeep Singh, Ajay Kumar, Harish Kumar Shakya, and Bhaskar Biswas, “A Survey on Information Diffusion Models in Social Networks”, in Second International Conference on Advanced Informatics for Computing Research (ICAICR-2018), Shimla, India, July 14-15, 2018.
8.    Ajay Kumar, Shashank Sheshar Singh, Kuldeep Singh, Harish Kumar Shakya, and Bhaskar Biswas, “An Implementation of Malware Detection System Using Hybrid C4.5 Decision Tree Algorithm", in Second International Conference on Advanced Informatics for Computing Research (ICAICR-2018), Shimla, India, July 14-15, 2018.

Subject Taught
Operating System, Theory of Computation, Source Code Management, Design Thinking and Innovation, Object Oriented Programming using Java, Computational Thinking and Programming using Python.

Reviewer
Knowledge-Based Systems, IEEE Transactions on Computational Social Systems, IEEE Transactions on Network Science and Engineering, Transactions on Emerging Topics in Computing, ACM Transactions on Management Information Systems, Applied Soft Computing, International Journal of Modern Physics, IEEE Access, Journal of Ambient Intelligence and Humanized Computing, Journal of Retailing and Consumer Services, Social Network Analysis and Mining, International Advanced Computing Conference (IACC), International Conference on Advanced Informatics for Computing Research (ICAICR), International Conference on Machine Intelligence and Signal Processing (MISP), International Conference on Systems and Management Sciences (ISMS).

Professional Membership
ACM, International Association of Engineers (IAENG), Computer Science Teachers Association (CSTA)