Name:

Dr. Saumya Bansal

Designation:

Assistant Professor

Qualification:

Ph.D.

Area of Expertise:

Artificial Intelligence, Machine Learning, Deep Learning, Recommender System, Swarm Intelligence, Evolutionary Algorithm

Conference/Seminars:

  1. Saumya Bansal and Niyati Baliyan. ”A Multi-Criteria Evaluation of Evolutionary Algorithms against Segment Based Shilling Attacks”, 10th International Conference on Soft Computing for Problem Solving, (pp. 91-102), IIT Indore, Dec 2020, Springer
  2. Saumya Bansal and Niyati Baliyan. ”Memetic Algorithm based Similarity Metric for Recommender System”, In Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion, pp. 143- 144, Auckland University of Technology, Dec 2019, ACM
  3. Saumya Bansal and Niyati Baliyan. ”Evaluation of Collaborative Filtering Based Recommender Systems against Segment-Based Shilling Attacks”, 2nd International Conference on Computing, Power and Communication Technologies, pp. 110-114, Galgotias University, Sept 2019, IEEE
  4. Punam Bedi, Anjali Gautam, Saumya Bansal, and Deepika Bhatia. ”Weighted bipartite graph model for recommender system using entropy based similarity measure”, In The International Symposium on Intelligent Systems Technologies and Applications, pp. 163-173, 2017, Springer, Cham


Awards/Achievements:

  1. Premier Research Award for the year 2019-2020: Indira Gandhi Delhi Technical University for Women
  2. GHCI 20 Student Scholarship