Dr. Mridula Verma
Assistant Professor
vmridula(at)idrbt(dot)ac(dot)in
Educational Qualifications
- Ph.D. in Computer Science and Engineering from Indian Institute of Technology (BHU) in 2018
- M.Tech. in Computer Science and Engineering from Indian Institute of Technology, Roorkee in 2009
- B.E. in Computer Science and Engineering from Pt. Ravishankar Shukla University, Raipur in 2006.
Research Interests
- Trustworthy Machine Learning, Federated Learning, Adversarial Machine Learning
- Deep Learning for Computer Vision, Private and Light-weighted Video Analytics
- Personalized Dialogue Systems, Financial NLP
- Machine Learning for Cyber Security
- Convex Optimization Algorithms, Regularization Techniques
Professional Experience
- Worked as Assistant Professor in Delhi Technological University from September 2012 to June 2013
- Worked as Assistant Professor in Galgotia College of Engineering and Technology from July 2010 to December 2011.
Externally Funded Research Projects
- Blockchain and Machine Learning Powered Unified Video-KYC Framework, Sponsored by Ministry of Electronics and Information Technology (MeitY), Govt. of India, IIT Bhilai Innovation and Technology Foundation (IBITF), 2022-2025. Role: Chief Investigator
- Extraction of Actionable Cyber Threat Intelligence from Unstructured Sources in the Web, Sponsored by Joint Innovation Center, Union Bank of India, 2023-2024. Role: Principal Investigator
Internally Funded Projects
- Diwas (Digital Walk to Services): Secure Onboarding Customer for Banking Services.
Ph.D. Guidance
- Hemraj Singh (with Dr Ramalingaswamy Cheruku, NITW), “Video Salient Object Detection using Lightweight Deep Learning Approaches”. (Thesis Defended on 29th May 2025) “Congrats Hemraj!”
- Zarka Bashir (with Prof C. Krishna Mohan, IIT Hyderabad), “Federated Learning”. In progress since 2021.
M. Tech. Guidance
- Gudibanda Sai Jeevan Reddy, UoH (2024-2025; with Lanka Narasimham, GE): Ongoing
- Sai Rishik Thakkallapally, UoH (2024-2025; with Sudhanshu Mishra, GE): Ongoing
- Rajyalaxmi Vanam, UoH (2021-2022; with Dr Susmita Mandal, IDRBT)
- S Sravani, UoH (2020-2021)
- Mahipal Singh Papola, UoH (2019-2020)
Courses / Training Programs
MTech / MCA, UoH
PGDBT, IDRBT
Executive Development Programs
MTech / MCA, UoH
- Data Engineering
- Data Warehousing and Reporting
PGDBT, IDRBT
- Artificial Intelligence and Machine Learning
- Emerging Technologies for Banking and Finance
Executive Development Programs
- AI/ML for Cyber Security
- Fraud Analytics
- Intelligent process automation
- Re-imagining Customer Engagement with Conversational Chatbots
- Emerging AI/ML Technologies for Smart Banking
Professional Services
- IT Consultancy Services
- Punjab National Bank from August 2018 to December 2022.
- Indian Overseas Bank from January 2023 to November 2024.
- Managing Editor, Journal of Banking and Financial Technology, since October 2024.
- Session Chair: 31st International Conference on Neural Information Processing (ICONIP 2024), Auckland, New Zealand.
- Organizing Chair of ACM Sponsored Conference Forum for Information Retrieval Evaluation FIRE-2020 (online) on 16th-20th December 2020.
- Member of Professional Bodies: IEEE, The Institution of Engineers (India)
- Reviewer: IEEE TKDE, IEEE TNNLS, ACM Multimedia, IEEE Sensors, IEEE Access, TENCON, IEEE International Conference on Big Data, Machine Learning and Applications, Journal of Banking and Financial Technology, ESWA, KBS, COMSNETS
- Joint Coordinator, IDRBT Chief Analytics Officers Forum since January 2022.
- Joint Coordinator, IDRBT FinTech Forum since July 2018.
- Coordinator of the 8th and 9th IDRBT Doctoral Colloquium on December 7, 2018 and December 9, 2019, respectively.
Recent Publications
Journals
Conferences
Journals
- Hemraj Singh, Mridula Verma and Ramalingaswamy Cheruku (2025), DMFNet: geometric multi-scale pixel-level contrastive learning for video salient object detection. International Journal of Multimedia Information Retrieval, Vol. 14, 12. [Link]
- Hemraj Singh, Mridula Verma and Ramalingaswamy Cheruku (2025), HSNet: A Novel Edge-Preserving Hierarchical Separable Network for Video Shadow Detection. Circuits Systems and Signal Processing, pp 1-30. [Link]
- Hemraj Singh, Mridula Verma and Ramalingaswamy Cheruku (2024), DSFNet: Video Salient Object Detection Using a Novel Lightweight Deformable Separable Fusion Network, in IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-12. [Link]
- Hemraj Singh, Mridula Verma and Ramalingaswamy Cheruku (2023), Novel Dilated Separable Convolution Networks for Efficient Video Salient Object Detection in the Wild, in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-13, 2023. [Link]
- Morampudi, M. K., Prasad, M. V., Verma, M., & Raju, U. S. N. (2021). Secure and verifiable iris authentication system using fully homomorphic encryption. Computers & Electrical Engineering, 89, 106924. [Link]
Conferences
- Shimil S. B., M. Verma, Silent Intruders: Dissecting Textual Backdoor Attacks in Federated Dialog Systems. In 31st International Conference on Neural Information Processing, Springer, New Zealand, 2024. (In Press)
- Srihitha, PVN Pooja, Mridula Verma, and Munaga VNK Prasad. Federated scaling of pre-trained models for deep facial expression recognition. In International Conference on Computer Vision and Image Processing, pp. 90-101. Cham: Springer Nature Switzerland, 2023. [Link]
- Hemraj Singh, Mridula Verma, and Ramalingaswamy Cheruku (2023), DSNet: Efficient Lightweight Model for Video Salient Object Detection for IoT and WoT Applications, In Companion Proceedings of the ACM Web Conference 2023 (WWW ’23 Companion). [Link]
- Hemraj Singh, Mridula Verma, Ramalingaswamy Cheruku (2022), VS-Net: Multiscale Spatiotemporal Features for Lightweight Video Salient Document Detection, Proceedings of IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI), Macao, China, 2022, pp. 1307-1311. [Link]
- Sasubilli, S., Verma, M. (2022). InFi-BERT 1.0: Transformer-Based Language Model for Indian Financial Volatility Prediction. In: et al. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2022. Communications in Computer and Information Science, vol 1753. Springer, Cham. [Link]