Dr. Monika Bajaj

Assistant Professor,

Department of Computer Science, Deshbandhu College, University of Delhi

mbajaj@db.du.ac.in

Research Area

Supervision of Doctoral Thesis

Publications

Machine Learning, Deep Learning and Evolutionary Algorithms for real-world applications of health care and social network analysis

Supervision: Pursuing

Sumit Kumar, Department of Computer Science, University of Delhi

Supervision: Pursuing

Guddu Kumar, Department of Computer Science, University of Delhi

Co-Supervised: Awarded 2023

Sonia, Department of Information Technology, Delhi Technological University (DTU), with Title: Social Network Analysis Using Machine Learning Approaches

Journals:

Rustagi V., Gupta S., Bajaj M., et.al. (2023), “PepAnalyzer: predicting peptide properties using its sequence”, Amino Acids Vol. 55 pp 1371–1379, SCI Indexed.
Sonia, Sharma K,, Bajaj M. (2023), “Effectual Seed Pick Framework Focusing on Maximizing Influence in Social Networks”, Wireless Communications and Mobile Computing, Vol. 5 pp.1-19, Scopus Indexed
Sonia, Sharma K,, Bajaj M. (2022), “DeepWalk Based Influence Maximization (DWIM): Influence Maximization Using Deep Learning”, Intelligent Automation & Soft Computing, Vol. 35 No.1, pp 1087-1101, SCI Indexed.
Rustagi V., Bajaj M., et.al. (2022), “Analyzing the Effect of Vaccination Over COVID Cases and Deaths in Asian Countries Using Machine Learning Models” Vol.11, SCI Indexed.
Banati, H. and Bajaj M. (2013), ‘Performance analysis of firefly algorithm for data clustering’, International Journal of Swarm Intelligence, Vol. 1, No. 1, pp. 19-35. Inder Science.
Banati, H. and Bajaj, M. (2013), “An Evolutionary Approach for k-Max-Influence Problem”, International Journal of Network and Innovative Computing, Issue 1,Vol.1, pp. 163-172.
Banati, H., Mehta M., and Bajaj, M. (2013), “Social Behaviour based Metrics to enhance Collaborative Filtering”, International Journal of Computer Information Systems and Industrial Management Applications, Isuue. 1 Vol. 4, pp 217-226.
Banati, H. and Bajaj, M. (2011), “Fire Fly Based Feature Selection Approach”, International Journal of Computer Science Issues (IJCSI), Vol. 8, Issue 4, No 2, pp. 473-480, Indexed in DBLP.

International Conferences:

Banati, H. and Bajaj, M. (2012), “Promoting Products Online Using Firefly Algorithm”, 12th International Conference on Intelligent System Design and Applications (ISDA), November 27-29 2012, India, pp. 580-585, IEEE.
Banati, H. and Bajaj, M. (2011), “Dynamic User Profile Generation By Mining User Opinion”, 3rd International Conference on Computer Engineeringand Technology (ICCET-11), June 17-19, 2011, Malaysia, pp. 540-545, ASME Digital Library.
Banati, H. and Bajaj, M. (2009), “Feature Based Implicit User Modeling”, 4th Indian International Conference on Artificial Intelligence (IICAI-09),December 16-18, 2009, India, pp. 1077-1084, DBLP.

Book Chapters :

Bajaj, M., Mehta M., and Banati, H. (2015), “A soft computing approach for Targeted Product Promotion on Social Networks”, Hybrid Soft Computing Approaches: Research and Applications. Springer.
Mehta M., Bajaj, M., and Banati, H. (2015), “Hybrid Intelligent Approach for Simulating Chemical Experiments Online”, Advanced Research on hybrid Intelligent Techniques. IGI global.

National Conferences:

Banati, H. and Bajaj, M. (2008), “Success: A Methodology to Design Effective e-commerce Web Sites”, 3rd, PIMG National Conference on Key Drivers of Organizational Excellence, Prestige Institute of Management, Gwalior.
Banati, H. and Bajaj, M. (2007), “A Strategic Approach to Evaluate Web Usability”, 2nd, PIMG National Conference on Mastering Change for Organizational Excellence, Prestige Institute of Management, Gwalior.
Banati, H. and Bajaj, M. (2007), “User Oriented Approach to Web Design”, National Conference on emerging Trends in Software engineering and Information Technology, Gwalior.

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