Dr Kushal Kanwar qualified GATE (2012), NET (2015) and received his PhD (2021) in Computer Science and Engineering from Panjab University, Chandigarh, India. He received GATE fellowship for his ME (CSE) and is also a recipient of the prestigious Visvesvaraya PhD Scheme for Electronics and IT Scholarship. He holds five years of teaching experience and his academic contributions include international scientific papers and book chapters published by Elsevier and Springer with 5 citations and h-index 2.
Dr Kanwar has developed a Complex Network based comparative analysis of Delhi Metro network and its extension. Also, he has developed some node and edge ranking techniques for complex networks. His area of interest is Complex Systems, Artificial Intelligence, and Quantum Computation.
At present, he is conducting research in Artificial Intelligence.
Publication
Peer-Reviewed Journals:
- Kanwar, K., Kumar, H., & Kaushal, S. (2019). Complex network based comparative analysis of Delhi Metro network and its extension. Physica A: Statistical Mechanics and its Applications, 526, 120991.
- Kanwar, K., Kumar, H., & Kaushal, S. (2020). A hybrid node ranking technique for finding influential nodes in complex social networks, Library Hi Tech.
Book Chapters:
- Kanwar, K., Kumar, H., & Kaushal, S. (2017). A Metric to Compare Vulnerability of the Graphs of Different Sizes. Electronic Notes in Discrete Mathematics, 63, 525-533.
- Kanwar, K., Kaushal, S., & Kumar, H. (2020). An AHP-TOPSIS Based Framework for the Selection of Node Ranking Techniques in Complex Networks. In International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (pp. 527-542). Springer, Singapore.