Shashank Sheshar Singh

About

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.

Employment

• South Asian University Assistant Professor
  2025 - Present
• Thapar Institute of Engineering and Technology (Deemed to be University) Assistant Professor
  2021 - 2025
• Bennett University Assistant Professor
  2020 - 2021

Education

• IIT(BHU), Varanasi PhD
  2016 - 2020

Projects & Funding

Projects & funding information is unavailable.

Publications (71)

• PPWCS: A Strategy for Enhancing Caching Performance in Content-Centric Networking-Enabled Consumer IoT Systems
  IEEE Transactions on Consumer Electronics 2026 DOI: 10.1109/TCE.2026.3686622
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• Fusion of quantum computing with smart agriculture: A systematic review of methods, implementation, applications, and challenges
  Information Fusion 2026 DOI: 10.1016/j.inffus.2026.104159
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• Influence Maximization on Signed Social Networks: A Survey
  ACM Computing Surveys 2026 DOI: 10.1145/3772061
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• Exploring Influence Maximization: State-of-the-Art Methods, Taxonomies, and Trends
  ACM Transactions on Knowledge Discovery from Data 2026 DOI: 10.1145/3779058
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• Achieving Fair Influence Maximization: Integrating Privacy, Diversity, and Temporal Fairness
  IEEE Transactions on Network Science and Engineering 2026 DOI: 10.1109/TNSE.2025.3598819
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• Toward quantum fuzziness: A survey on social media analysis through SNA and linguistic perspectives
  Information Sciences 2026 DOI: 10.1016/j.ins.2026.123769
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• Exploring Influence Maximization in Criminal Social Networks to Identify Key Individuals and Patterns
  IEEE Transactions on Computational Social Systems 2025 DOI: 10.1109/TCSS.2025.3571963
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• Quantum social network analysis: Methodology, implementation, challenges, and future directions
  Information Fusion 2025 DOI: 10.1016/J.INFFUS.2024.102808
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• Quantum Simulations: A New Frontier for Influence Maximization in Social Networks
  2025 DOI: 10.1007/978-981-96-6963-9_27
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• Pruning-enabled dynamic influence maximization using antlion optimization
  Knowledge-Based Systems 2025 DOI: 10.1016/J.KNOSYS.2025.113406
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