Murari Mandal
Assistant Professor
I am an Asst. Professor at the School of Computer Engineering, KIIT Bhubaneshwar. I lead the RespAI Lab where we focus on research in LLMs, VLMs, AI Safety, AI Regulation, Model Editing, Machine Unlearning. My research has been published in ICML, KDD, AAAI, ACM MM, CVPR. My pioneering works had significant impact in the field of machine unlearning with 700+ citations. Our works Fast Unlearning [TNNLS], Zero-shot Unlearning [TIFS], and Bad Teacher [AAAI] are among top 10 highly cited papers in the field of machine unlearning. I regularly serve as a Reviewer to NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, and ECCV. Indexed in CSRankings. I am also part of the BrainX AI research community actively working on AI in Healthcare. Earlier, I was a PostDoc Fellow at National University of Singapore (NUS) where I worked with Prof. Mohan Kankanhalli. Long time back, I graduated in 2011 with a Bachelors in Computer Science from BITS, Pilani.
Profile Links
Email :
[email protected]
Website :
murarimandal.github.io
Google Scholar :
https://scholar.google.com/citations?user=U8AyzLIAAAAJ
Social Links
1. LLMs 2. VLMs 3. AI Safety 4. AI Regulation
Projects
1. Project Title: “Machine Unlearning for Selective Removal of Digital Data Footprint from Deep Learning Models”, Duration: 24 months, Amount: 30.503 lacs, Funding Agency: SERB, Govt. of India, Role: Principal Investigator (PI), Status: Ongoing
Administrative Responsibility
1. Core Member 2. CIRAI (Center for Innovation and Research in AI)
Awards & Honours
1. International Travel Grant from Government of India (ANRF/SERB), 2023. 2. Startup Research Grant (SRG) from Government of India (ANRF/SERB), 2023. 3. IEEE Signal Processing Society (SPS) Travel grant (1000 USD), 2019. 4. International Travel Grant from Government of India (ANRF/SERB), 2019.
Memberships
IEEE
AK Tarun, VS Chundawat, Murari Mandal, Mohan Kankanhalli. Fast Yet Effective Machine Unlearning. IEEE Transactions on Neural Networks and Learning Systems 2023. (IF: 14.4
VS Chundawat, AK Tarun, Murari Mandal, Mohan Kankanhalli. Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher. 37th AAAI Conference on Artificial Intelligence (AAAI), 2023, Washington, DC, USA. (CORE – A*)
VS Chundawat, AK Tarun, Murari Mandal, Mohan Kankanhalli. Zero-Shot Machine Unlearning. IEEE Transactions on Information Forensics and Security, 2023. (IF: 7.2)
Murari Mandal, Yashwanth Reddy Meedimale, M Satish Kumar Reddy, Santosh Kumar Vipparthi. Neural Architecture Search for Image Dehazing. IEEE Transactions on Artificial Intelligence, September 2022.
VS Chundawat, AK Tarun, Murari Mandal, Mukund Lahoti, Pratik Narang. A Universal Metric for Robust Evaluation of Synthetic Tabular Data. IEEE Transactions on Artificial Intelligence, November 2022.
Adit Goyal, Murari Mandal, Vikas Hassija, Vinay Chamola, Moayad Aloqaily. Captionomaly: A Deep Learning Toolbox for Anomaly Captioning in Social Surveillance Systems. IEEE Transactions on Computational Social Systems, December 2022.(IF: 4.75).
Monu Verma, Murari Mandal, Yashwanth Reddy Meedimale, M Satish Kumar Reddy, Santosh Kumar Vipparthi. Efficient Neural Architecture Search for Emotion Recognition. Expert Systems with Applications, Elsevier 2023. (IF: 8.67)
Aditya Mehta, Harsh Sinha, Murari Mandal, Pratik Narang. Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing. IEEE Winter Conference on Applications of Computer Vision (WACV), Virtual, 2021. (CORE - A)
Prateek Garg, Murari Mandal, Pratik Narang. Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement. AAAI Conference on Artificial Intelligence (AAAI), Student Abstract, 2021. (CORE – A*)
Harsh Sinha, Aditya Mehta, Murari Mandal, Pratik Narang. Learning to Enhance Visual Quality via Hyperspectral Domain Mapping. AAAI Conference on Artificial Intelligence (AAAI), Student Abstract, 2021. (CORE – A*)