Designation: Assistant Professor
Qualification: Ph.D. (IIT Indore)
Area of Interest: Machine Learning, Optimization Techniques
Phone No: +91-6260008789
E-Mail:
DR. SUCHITRA AGRAWAL
- About Faculty: Dr. Suchitra Agrawal received her Ph.D. degree (2023) in Computer Science and Technology from the Indian Institute of Technology Indore. She completed her Master of Technology degree (2017) in Information Technology from Madhav Institute of Technology and Science and her Bachelor of Engineering degree (2014) in Information Technology from the Institute of Technology and Management. She is currently working as an Assistant Professor in the Centre for Computer Science and Technology at Madhav Institute of Technology and Science – Deemed University, Gwalior, India. She qualified GATE in 2014 and 2017. Her areas of research interest include Multimodal Optimization, Machine Learning, and Evolutionary Algorithms. She has published five research papers in SCIE-indexed journals and one book chapter. She also serves as a peer reviewer for reputed journals such as Knowledge-Based Systems, Engineering Applications of Artificial Intelligence, and Soft Computing, and has reviewed manuscripts for several international and national conferences.
- Education and Qualification:
Ph.D. (Computer Science and Engineering, IIT Indore)
M.Tech. (Information Technology, Honours, MITS)
B.E. (Information Technology, ITM)GATE Qualified (2014, 2017)
CBSE UGC-NET Qualified (November 2017)
Certified Facilitator, AI for Future Workforce Program, Intel, April 2025 - Work Experience:
- Assistant Professor at MITS–Deemed University, Gwalior, from 30th July 2025 – till date.
- Assistant Professor at ITM University, Gwalior, from 15th January 2018 to 15th December 2018.
- Product Engineer at EdgeVerve Systems Limited, Bangalore, from 9th December 2014 to 15th May 2015.
- System Engineer Trainee at Infosys Limited, Mysore, from 25th August 2014 to 8th December 2014.
- Administrative Experience:
- Class Coordinator, Computer Science and Technology (Batch admitted 2025–26), from 18/07/2025 – till date.
- Co-Coordinator, Time Table Committee, from 11/08/2025 – till date.
- Skill Internship Program: Conducted a Skill Internship Program (SIP) from 08/12/2025 to 19/12/2025 on “Empowering Innovators with AI Tools” at MITS Gwalior. A total of 36 students participated in the program.
- Honors, Award & Recognition:
- GATE Qualified (2014, 2017)
- CBSE UGC-NET Qualified (November 2017)
- NPTEL Topper (Top 5%) for the July–December 2025 session in Programming with Generative AI
Online Courses Certification:
- Big Data Computing, organized by IIT Kanpur through NPTEL, with 81% (Elite + Silver Certificate).
- Programming with Generative AI, organized by IISc Bangalore through NPTEL, with 81% (Elite + Silver Certificate).
- Publications:
Journal Publications (SCI / SCIE / SCOPUS / WoS Indexed):
- S. Agrawal, A. Tiwari, B. Yaduvanshi, and P. Rajak, “Differential Evolution with Nearest Better Clustering for Multimodal Multiobjective Optimization,” Applied Soft Computing (Elsevier), vol. 48, pp. 110852, 2023.
- S. Agrawal, A. Tiwari, B. Yaduvanshi, and P. Rajak, “Feature Subset Selection using Multimodal Multiobjective Differential Evolution,” Knowledge-Based Systems (Elsevier), vol. 265, pp. 110361, 2023.
- S. Agrawal and A. Tiwari, “Solving Multimodal Optimization Problems using Adaptive Differential Evolution with Archive,” Information Sciences (Elsevier), vol. 612, pp. 1024–1044, 2022.
- S. Agrawal, A. Tiwari, P. Naik, and A. Shrivastava, “Improved Differential Evolution based on Multi-Armed Bandit for Multimodal Optimization Problems,” Applied Intelligence (Springer), vol. 51(11), pp. 7625–7646, 2021.
- S. Agrawal, R. K. Singh, U. P. Singh, and S. Jain, “Biogeography Particle Swarm Optimization based Counter Propagation Network for Sketch-Based Face Recognition,” Multimedia Tools and Applications (Springer), vol. 78(8), pp. 9801–9825, 2019.
- S. Agrawal, R. K. Singh, and U. P. Singh, “Adaptive Neural Network for Sketch-Based Image Retrieval,” International Journal of Advanced Research in Computer Science, vol. 8(7), pp. 848–852, 2017.
Conference Publications:
- S. Singh, A. Tiwari, and S. Agrawal, “Differential Evolution Algorithm for Multimodal Optimization: A Short Survey,” in Proceedings of Soft Computing for Problem Solving (SocProS), Indore, India, 2020, vol. 2, pp. 745–756.
- T. K. Barsiya, L. Bhargava, A. Tiwari, S. Agrawal, and A. Saxena, “Implementation of Brain Tumor Segmentation using CNN Deep Learning Algorithm,” in Proceedings of Soft Computing for Problem Solving (SocProS), Indore, India, 2020, vol. 2, pp. 757–765.
- S. Agrawal, A. Tiwari, and I. Goel, “Genetically Optimized Deep Neural Learning for Breast Cancer Prediction,” in Proceedings of Soft Computing for Problem Solving (SocProS), Liverpool, UK, 2019, vol. 2, pp. 127–139.
- S. Agrawal, R. K. Singh, and U. P. Singh, “Fuzzy Counter Propagation Network for Free-Hand Sketch-Based Image Retrieval,” in Proceedings of Soft Computing: Theories and Applications (SoCTA), Jhansi, India, 2017, pp. 171–180.
Book Chapter:
- R. K. Singh, S. Agrawal, U. P. Singh, and S. Jain, “Intelligent Image Retrieval via Deep Learning Techniques,” in Deep Learning for Image Processing Applications, Advances in Parallel Computing (IOS Press), vol. 31, pp. 68–93, 2017.
