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Aishwarya Agrawal

Assistant Professor in the Department of Computer Science and Operations Research
University of Montreal

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Aishwarya Agrawal is an Assistant Professor in the Department of Computer Science and Operations Research at University of Montreal. She is also a Canada CIFAR AI Chair and a core academic member of Mila -- Quebec AI Institute. She also spends one day a week at DeepMind (Montreal office) as a Research Scientist.

From Aug 2019 - Dec 2020, Aishwarya was a full time Research Scientist at DeepMind (London office). Aishwarya completed her PhD in Aug 2019 from Georgia Tech, working with Dhruv Batra and Devi Parikh.

Aishwarya’s research interests lie at the intersection of computer vision, deep learning and natural language processing. The Visual Question Answering (VQA) work by Aishwarya and her colleagues has witnessed tremendous interest in a short period of time.

Aishwarya is a recipient of the Canada CIFAR AI Chair Award, Georgia Tech 2020 Sigma Xi Best Ph.D. Thesis Award, Georgia Tech 2020 College of Computing Dissertation Award, 2019 Google Fellowship (declined), Facebook Fellowship 2019-2020 (declined) and NVIDIA Graduate Fellowship 2018-2019. Aishwarya was one of the two runner-ups of the 2019 AAAI / ACM SIGAI Dissertation Award. Aishwarya was also selected for the Rising Stars in EECS 2018.

Aishwarya co-organizes the annual VQA challenge and workshop. As a reviewer, she has served on the program committee of various conferences (CVPR, ICCV, ECCV, NIPS, ICLR, ACL) and a journal (IJCV). She was awarded an Outstanding Reviewer award twice (NIPS 2017 and CVPR 2017).

Aishwarya received her bachelor's degree in Electrical Engineering with a minor in Computer Science and Engineering from Indian Institute of Technology (IIT) Gandhinagar in 2014.

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  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Research
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conferences
    • WiDS Stanford 2023 Agenda
    • WiDS Stanford 2023 Speakers
    • WiDS Regional Events 2023
    • Ambassadors 2023 >
      • Ambassador Advisory Council
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2022
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Datathon Details
    • Datathon Resources >
      • Datathon Press Release
    • WiDS Datathon Workshops 2023
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Next Gen >
      • Next Gen Resources
      • Next Gen Committee