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
- Financial NLP
- Machine Learning for Cyber Security
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.
Research Grants Received
- 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
Achievements
- Elevated to IEEE Senior Membership grade (2024).
- MHRD scholarship holder in Ph.D., 2013-2017.
- ACM SIGMM Student Travel Grant for attending ICMR, 2017 in Bucharest, Romania.
- Microsoft Student Travel Grant for attending Machine Learning Summer School, IISc Bangalore, 2015.
- Indian Statistical Institute Travel Grant for attending Winter School on Statistical Data Analysis Methods, ISI Kolkata, 2015.
- Qualified GATE 2007 with AIR 237.
- Awarded Merit Scholarship from Bhilai Steel Plant, for BE in Computer Science Engineering (2002-2006)
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.
Memberships
- IEEE, IEI
Ph.D. Guidance
Present Student
Former Students
Present Student
- Zarka Bashir (with Prof C. Krishna Mohan, IIT Hyderabad), “Federated Continual Learning”. In progress since 2021.
Former Students
- Hemraj Singh
- Thesis Title: Lightweight Deep Leaning Approaches for Efficient Video Salient Object Detection
- Current Affiliation:Postdoctoral Researcher at Yonsei University, Seoul, South Korea [Link]
M. Tech. / MS by Research Guidance
- Maitrey Patel, IIT Madras (since July 2026)
- Gudibanda Sai Jeevan Reddy, UoH (2024-2025; with GE)
- Sai Rishik Thakkallapally, UoH (2024-2025; GE)
- Rajyalaxmi Vanam, UoH (2021-2022; with Dr Susmita Mandal, IDRBT)
- S Sravani, UoH (2020-2021)
- Leichombam Somorjit, UoH (2019-2020)
- Mahipal Singh Papola, UoH (2019-2020)
Courses / Training Programs
MTech / MCA, UoH
PGDBT
PMPBT
Executive Education Offered in the Areas of
MTech / MCA, UoH
- Data Engineering
- Data Warehousing and Reporting
PGDBT
- Artificial Intelligence and Machine Learning
- Data Architecture and modelling
- Emerging Technologies for Banking and Finance
PMPBT
- Artificial Intelligence and Machine Learning
Executive Education Offered in the Areas of
- AI/ML for Cyber Security
- Generative AI in Banking and Finance
- Intelligent process automation
Recent Publications
Journals
Conferences
Book Chapters
IDRBT Staff Papers
White papers
Journals
- Zarka Bashir, Hemraj Singh, Mridula Verma, C Krishna Mohan, Sung-Bae Cho, “Continual Document Visual Question Answering with Counterfactual Reasoning”, Proceedings of Winter Conference on Applications of Computer Vision (WACV), Florida, USA, 2026. [Core A Ranked]
- Zarka Bashir, Mridula Verma, C Krishna Mohan, “Class-Conditional Closed-Form Low-Rank Merging for Federated Continual Learning”, Proceedings of British Machine Vision Conference (BMVC), Lancaster, UK, 2026. [Core A Ranked]
- Zarka Bashir, Mridula Verma, C Krishna Mohan (2026), “Tracking Evolving Anomalies with Encrypted Federated Continual Learning.” Proceedings in 31st IEEE International Joint Conference on Neural Networks (IJCNN) (2026), Maastricht, the Netherlands. [Core B Ranked]
- Shimil S. B., Mridula Verma, (2024), “Silent Intruders: Dissecting Textual Backdoor Attacks in Federated Dialog Systems.” In 31st International Conference on Neural Information Processing, Springer, Aukland, New Zealand. [Core B Ranked]
- 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. [Core B Ranked]
Conferences
- Zarka Bashir, Mridula Verma, C Krishna Mohan (2026), Tracking Evolving Anomalies with Encrypted Federated Continual Learning. Proceedings in 31st IEEE International Joint Conference on Neural Networks (IJCNN) (2026), Maastricht, the Netherlands.
- 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)
- 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]
Book Chapters
- N Malsa, M Verma, M Dixit, K Malsa (2026) “Integration of Artificial Intelligence and Blockchain”, Empowering Healthcare through AI and Blockchain, IEEE and Wiley.
IDRBT Staff Papers
- Data-oriented and Machine Learning Technologies in FinTech August 2019.
White papers
- Adoption of Open-Source Software in Indian Banking and Financial Sector, September 2020.