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Academic Experts
Dr Bhawna Saxena

Biography

Dr. Bhawna Saxena is working as Assistant Professor (Senior Grade) and serving academics & research in the Department of Computer Science and Engineering & Information Technology, Jaypee Institute of Information Technology, Noida-62, U.P., since 2020. She earned her Ph.D. in Computer Science and Engineering from Jaypee Institute of Information Technology, Noida in 2020, M.E. (Software Engineering) from Thapar Institute of Engineering & Technology, Patiala in 2003, and B.Tech. (CS & IT) from M.J.P. Rohilkhand University, Bareilly in 2001. During her post-graduation, she received University Gold Medal for topping through all semesters in M.E. (Batch 2001-2003). She has a rich teaching and industry experience of around 16 years. Throughout her academic journey, she has been actively involved in a range of academic and administrative responsibilities, both within her department and at the institute level. Besides teaching, she also has a rich experience of working in a software company, Vyam Technologies Pvt. Ltd., where she was mainly involved in the development and testing of ERP and educational projects. She has published several papers in international journals, conferences and book chapters. She is also the co‐editor of a book in the domain of bioinformatics. She is associated as reviewer and TPC member for many international conferences and journals. She has mentored 40+ student projects at both under-graduate and post-graduate levels. Presently, she is supervisor to 4 PhD scholars working in the fields of data science, social network analysis and machine learning.

Research Highlights

Dr. Bhawna’s is passionate about using data to understand complex systems, especially through the lens of Data Science and Analytics, Network Science, Social Network Analysis, and Machine Learning. Her research focuses on how complex networks, like social or biological networks, are structured, how they evolve, and how information spreads through them. Her work demonstrates a strong commitment to solving complex, real-world problems through interdisciplinary approaches. She has worked on a range of topics, including influence diffusion and maximization, community detection, and cybersecurity in social networks. She also has a strong interest in time series analysis and predictive modeling, using these tools for informed decision-making. Her work not only advances theoretical understanding but also supports practical implementations in areas such as bioinformatics and complex networks.

Areas of Interest
  • Data Science and Analytics
  • Social Network Analysis
  • Machine Learning
  • Bioinformatics
Publications
  1. M. Singhal and B. Saxena, "Edge sign and strength based model for influence diffusion in signed social networks", Advances in Complex Systems, vol. 28, issue 04, pp. 2540003, June 2025. doi: 10.1142/S021952592540003X (SCIE, IF 1.0)
  2. H. S. Pattanayak, B. Saxena and A. Sinha, “Influence maximization in social networks using community-diversified seed selection”, Journal of Complex Networks, vol. 12, issue 1, February 2024, cnae008, https://doi.org/10.1093/comnet/cnae008 (SCIE, IF 1.5)
  3. B. Saxena, M. Gaonkar and S.K. Singh, "Study of the effectiveness of wavelet genetic programming model for water quality analysis in the Uttar Pradesh region," Environ Monit Assess, vol. 195, article 1010, July 2023. doi: 10.1007/s10661-023-11489-y (SCIE, IF 3.0)
  4. B. Saxena, V. Saxena, N. Anand, V. Hassija, V. Chamola and A. Hussain, "A Hurst-based diffusion model using time series characteristics for influence maximization in social networks," Expert Systems, vol. 40, issue 9, November 2023. doi: 10.1111/exsy.13375 (SCIE, IF 2.3)
  5. B. Saxena and V. Saxena, "Hurst exponent based approach for influence maximization in social networks," Journal of King Saud University - Computer and Information Sciences, vol. 34, issue 5, pp. 2218-2230, May 2022. doi: 10.1109/Confluence47617.2020.9057811 (SCIE, IF 6.1)