Assistant Professor
School of Computer Engineering
KIIT Bhubaneshwar, India
[PostDoc, National University of Singapore]

101-H, 1st Floor,
Faculty Chamber,
Campus 14, Block C
School of Computer Engineering
KIIT Bhubaneshwar, India, 751024
murari.nus@gmail.com
murari.mandalfcs@kiit.ac.in
------- Meeting Hours ------- 3:00 to 5:00 PM, Tuesday || 10:00 to 12:00 PM, Friday
Time Table 2024 [Spring Semester]

I am an Assistant Professor at the School of Computer Engineering, KIIT Bhubaneshwar. I lead the RespAI Lab research group where we work on the topics related to responsible AI, machine unlearning, data valuation, ethical use of large language models (LLMs) and diffusion models. Check out the website here: RespAI Lab

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.

My current research is in Responsible AI, Machine Unlearning, Data Valuation, Synthetic Data Generation, and Federated Learning. I earier research include video surveillance (moving object detection, anomaly detection), human emotion analysis, aerial surveillance (UAV-based visual data analytics), visual quality enhancement (haze removal, night-image enhancement, image inpainting).

Research Interests

  • Regulatable AI
  • Machine Unlearning
  • Data Valuation
  • Privacy and Security in AI
  • Data Privacy and Data Synthesis
  • Explaianable AI
  • Recent

  • May 2024: Preprint of "Multimodal Recommendation Unlearning" paper is available Paper
  • May 2024: "EcoVal" Data Valuation Paper Accepted to KDD-2024 Paper
  • February 2024:Received the Google Cloud Education Grant for teaching Natural Language Processing at KIIT Bhubaneswar. [Grant Amount: INR 3,16,000]
  • November 2023: Delivered a talk on Machine Unlearning at BITS Pilani, Pilani Campus. Check the Slides here
  • September 2023: Received 30 Lacs SERB-DST Start-up Research Grant (SRG) to further my work in the field of Machine Unlearning and AI Regulation
  • September 2023: Serving as a Reviewer for ICLR 2024
  • Check out my ICML-2023 experience in this Linkedin post
  • June 2023: Received SERB-ITS Travel grant to present our paper in ICML-2023, Honolulu, Hawaii, USA
  • April 2023: 1 paper accepted in ICML 2023, Hawaii Convention Center, USA
  • April 2023: 1 paper accepted in IEEE Transactions on Neural Networks and Learning Systems
  • March 2023: 1 paper accepted in IEEE Transactions on Information Forensics and Security
  • 11 Feb - 12 Feb 2023: Served as a Session Chair for 3 Sessions in AAAI-2023, Washington DC, USA
  • 10 Feb - 13 Feb 2023: Me and Mohan present 2 of our papers on Machine Unlearning at AAAI-2023, Washington DC, USA
  • January 2023: 1 paper accepted in AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-23)
  • December 2022: 1 paper accepted in IEEE Transactions on Artificial Intelligence
  • December 2022: 1 paper accepted in IEEE Transactions on Computational Social Systems
  • November 2022: 1 paper accepted in 37th AAAI Conference on Artificial Intelligence (AAAI), 2023, Washington, DC, USA. [Acceptance Rate - 19.6%]
  • Career

    • PostDoc Researcher (Scientist) (21 Sep 2020 - 15 July 2022)
      National University of Singapore (NUS), Singapore
      [QS World University Rankings - 8, QS Asia University Ranking - 1]

    Education

    • PhD in Computer Vision & Deep Learning, (August 2020)
      Malaviya National Institute of Technology Jaipur, India
    • M.E. in Software Engineering (2015)
      Thapar University
    • B.E. (Hons.) in Computer Science (2011)
      BITS Pilani, Pilani