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General Information

Full Name Raghav Mehta
Contact raghav.11393 [at] gmail.com; raghav.mehta [at] imperial.ac.uk; raghav.mehta [at] mail.mcgill.ca; raghav.mehta [at] research.iiit.ac.in; raghav [at] cim.mcgill.ca
Address Huxley Building, South Kensington Campus, London, UK, SW7 2AZ

Research Area

  • My research focuses on developing machine learning algorithms for medical image analysis. In particular, I have heavily focused on integrating these models on various aspect of neuroimage analysis. For further details on my research, please see the publications page.
  • I am also interested in various aspects of responsible and trustworthy machine learning models including uncertainty quantification, fairness, robustness, causality and their applications in medical image analysis.

Research Experience

  • Feb '24 - Current
    Research Associate
    Imperial College London
    • Summary :- Working on Fairness of medical imaging foundational models and Causal inference.
  • July '22 - Dec. '22
    Research Scientist Intern
    Responsible AI Organization, Meta Inc.
    • Summary :- Worked on robustness and fairness of foundational models. Developed new learning strategies for improving robustness to spurious correlations and improving fairness.
    • Led to two publications in ECCV 2022 and ICCV 2023 workshops.
  • Sep. '17 - Aug. '23
    Graduate Research Assistant
    McGill Univeristy
    • Summary :- Worked on Bayesian Deep Learning techniques for medical image analysis on real world clinical neuroimaging datasets.
    • Led to total 15 publications including 8 first-author papers.
    • Mentored 2 master's thesis.
  • Aug. '14 - July. '17
    Graduate Research Assistant
    IIIT-Hyderabad
    • Summary :- Worked on machine learning techniques for neuroimage analysis.
    • Led to total 5 publications including 3 first-author papers.
    • Mentored 1 master's thesis.
    • Worked on prestigious project on construction of Indian human brain MR atlas for young population, which was covered by various news outlets in India.

Education

  • 2017 - 2023
    Ph.D.
    McGill University, Montreal, Canada.
    • Area :- Electrical and Computer Engineering
    • Thesis :- Integrating Bayesian Deep Learning Uncertainties in Medical Image Analysis.
    • Advisor :- Prof. Tal Arbel.
  • 2014 - 2017
    Master of Science (M.S.) by Research
    International Institute of Information Technology - Hyderabad, Hyderabad, India.
    • Area :- Electronics and Communication Engineering
    • Thesis :- Population specific template construction and brain structure segmentation using deep learning methods.
    • Advisor :- Prof. Jayanthi Sivaswamy.
  • 2010 - 2014
    Bachelor of Engineering (B.E.)
    Gujarat Technological University (GTU), Ahmedabad, Gujarat.
    • Area :- Electronics Engineering
    • Thesis :- Smart Washing Machine using Fuzzy Logic Control System.
    • Advisor :- Prof. Vithal Kamat and Prof. D.M.Patel.

Teaching Experience

  • Sep. '19 - Apr. '22
    Teaching Assistant
    McGill Univeristy
    • Course :- Fundamentals of Computer Vision
    • Sememseters :- Fall 2019, Winter 2020, Fall 2020, Winter 2021, Fall 2021, Winter 2022
    • Responsibility :- Delivering tutorials, designing assignments and projects, and weekly office hours.
    • Lecturers :- Prof. Tal Arbel and Prof. James Clark
  • Aug. '16 - Nov. '16
    Teaching Assistant
    IIIT-Hyderabad
    • Course :- Medical Image Processing
    • Sememseters :- Fall 2016
    • Responsibility :- Delivering tutorials, designing assignments and projects, and weekly office hours.
    • Lecturer :- Prof. Jayanthi Sivaswamy

Honors and Awards

  • Awards.
    • Outstanding Reviewer Award at MIDL 2024. One of 26 reviewer awardees out of total 300 reviewers.
    • Best paper award nominee at MICCAI-2023 (Top 20 papers).
    • Best oral presentation award at FAIMI workshop MICCAI-2023.
    • Best paper award at DART workshop MICCAI-2021.
    • Best paper award at UNSURE workshop MICCAI-2019.
    • Honourable Mention Review Award at MIDL 2022 :- one of 23 reviewer awardees out of total 300 reviewers.
    • Best Review Award Winner at MIDL 2021. One of 9 review awardees out of total 200 reviewers.
  • Fellowship.
    • Research Associate - Trustworthy AI Tools for the Prediction of Obesity Related Vascular Diseases (AI-POD)
    • MEITA Scholarship - McGill Engineering International Doctoral Award, 2017-2020.
    • GREAT Travel Award Graduate Research Enhancement and Travel Award 2018/19 - McGill University, to attend MICCAI-2018.
    • GMA Travel Award Graduate Mobility Award 2018/19 - McGill University, to attend Summer School on Deep Learning And Bayesian Methods - DeepBayes 2018.
    • Financial Aid for Research Assistantship at IIIT Hyderabad - Funded by the prestigious Department of Science and Technology, Govt. of India, under Grant SR/CSRI/194/2013(G)
  • News Coverage.

Other Interests

  • Hobbies: Hiking, Reading, Biking, etc.