Murari Mandal
Assistant Professor
I am an Assistant Professor at the School of Computer Engineering, KIIT Bhubaneshwar. I was a Postdoctoral Research Fellow at National University of Singapore (NUS). I worked with Prof. Mohan Kankanhalli and Prof. Jussi Keppo in the N-CRiPT Lab. I am also worked in collaboration with Prof. Bowei Chen, University of Glasgow, UK. I received my PhD in Computer Science from Malaviya National Institute of Technology, Jaipur, India. Previously, I received my bachelor and master degrees in Computer Science from BITS Pilani, Pilani Campus (2011) and Thapar University (2015).
My current research is in privacy and security in machine learning, machine unlearning, data privacy, synthetic data generation, deep learning, and computer vision. I have extensive research experience in video surveillance (moving object detection, anomaly detection), human emotion analysis (facial expression recognition, micro-expression analysis), aerial surveillance (UAV-based visual data analytics: agricultural land segmentation, motion detection, object detection, instance segmentation), visual quality enhancement (haze removal, night-image enhancement, image inpainting).Some of my research works have been published in highly reputed SCI Journals (IEEE Transactions, IEEE Letters) and top-tier conferences (AAAI, ACMMM, WACV, CVPRW, ICIP, ICPR).
Profile Links
Email :
[email protected]
Website :
murarimandal.github.io
Google Scholar :
https://scholar.google.co.in/citations?user=U8AyzLIAAAAJ&hl=en
Social Links
Privacy and security in machine learning, machine unlearning, data privacy, synthetic data generation, deep learning, and computer vision Research Spotlight: IEEE Transactions - 11, ACM Transactions - 1, IEEE Letters/Journals - 4, IET/Elsevier - 4, CORE A* Conferences - 4, CORE A Conferences - 2, CORE B Conferences - 4. Total top tier conferences/journals (SCI) = 30, h-Index = 18, i10-index = 23. Responsible AI, Regulatable AI, Machine Unlearning, Data Valuation
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
Awards & Honours
1. Received International Travel Grant from Government of India (SERB-DST), 2019. 2. IEEE Signal Processing Society (SPS) Travel grant (1000 USD) to present paper at ICIP-2019 in Taipei, Taiwan. 3. Received International Travel Support (ITS) Grant from Government of India (SERB-DST), 2023 for ICML-2023, Hawaii, USA. 4. Received International Travel Support (ITS) Grant from Government of India (SERB-DST), 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*)