---

Currently, I am a PhD candidate at Queen’s University and affiliated with the Vector Institute. Earlier, I interned at Google and Borealis AI. I joined Queen’s University in 2018 and completed my master’s degree in 2020. Prior to that, I worked as a Software Engineer for a total of approximately 3 years at Infosys and Tech Mahindra. I completed my bachelor’s degree in 2015 from West Bengal University of Technology, India. Other than research, I am passionate about photography and film-making.

Research

---

My primary research interest is in representation learning, specifically multimodal learning, self-supervised learning, computer vision, video understanding, multimodal LLMs, and the large-scale training of foundational models. Please find more about my research here.

News

---

I am on the job market for full-time roles. Please do not hesitate to reach out if you have a suitable opportunity. Contact me at: pritam.sarkar@queensu.ca

• [Dec 23] 2 papers got accepted in AAAI 2024.
• [Nov 23] I have won the first prize in IEEE Research Excellence Award (PhD).
• [Sep 23] Our paper got accepted in NeurIPS as a Spotlight.
• [Aug 23] Accepted an offer from Google to join as a Student Researcher.
• [Nov 22] 2 papers got accepted in AAAI 2023.
• [Oct 22] We are organizing AAAI 2023 Workshop on R2HCAI.
• [Oct 22] Honourable Mention in poster competitions (1.) Robotics and AI Symposium 2022 and (2.) FEAS Research Symposium 2022.
• [Jun 22] Accepted an offer from Borealis AI for a fall internship as a Machine Learning Research Intern.
• [Oct 21] Best poster award at Robotics and AI Symposium, Ingenuity Labs, 2021.
• [Aug 21] We are organizing AAAI 2022 Workshop on HC-SSL.
• [Aug 21] One paper that I supervised got accepted into HAI 2021.
• [Mar 21] I received postgraduate affiliation award from Vector Institute.
• [Dec 20] Our paper CardioGAN got accepted in AAAI 2021.

Click to see more

• [Aug 20] My first journal/transaction as a first author got accepted in IEEE Trans. of Affective Computing.
• [Apr 20] Successfully defended my M.A.Sc. thesis. picture
• [Jan 20] Conference paper on ECG-based SSL got accepted in IEEE ICASSP 2020 for oral presentation.
• [Sep 19] It was a great experience to visit the University of Cambridge and meet Rosalind Picard. picture
• [Jun 19] My first paper got accepted for oral presentation in IEEE ACII 2019.
• [Sep 18] Joined Queen's for master's degree.
• [Dec 17] Joined Infosys as a Sr. System Engineer.
• [Nov 15] Joined Tech Mahindra as an Associate Software Engineer.
• [Jun 15] Completed graduation!

Education

---

• PhD at Queen’s University, Canada, 2020 - Present.
• MASc at Queen’s University, Canada, 2018 - 2020. Link to MASc Thesis.
• B.Tech at West Bengal University of Technology, India, 2011 - 2015.

Employment

---

• Research Assistant at Queen’s University, Kingston, Canada, 2018 - Present.
• Student Researcher at Google, Sunnyvale, USA, 2023 - 2024.
• Machine Learning Research Intern at Borealis AI, Toronto, Canada, 2022.
• Sr. System Engineer at Infosys Ltd., Bangalore, India, 2017 - 2018.
• Software Engineer at Tech Mahindra Ltd., Hyderabad, India, 2015 - 2017.
• Teaching Assistant/Guest Lecturer at Queen’s University, Kingston, Canada, 2018 - Present.

Mentorship

---

• Seth Grief-Albert, ECE at Queen’s, undergrad summer project, 2024 - present.
• Vishal Narnaware, Visiting Student at University of Cambridge, co-mentored with Nikhil Churamani, 2023 - 2024.
• Debaditya Shome, MASc at ECE, Queen’s University, 2022 - 2023.
• Jordan Posen, ECE at Queen’s, undergrad final year project, 2021 - 2022.
• Rachel Phinnemore, CS at Queen’s, undergrad final year project, 2020 - 2021.

Reviewing

---

• NeurIPS, ICLR, CVPR, ICCV, ECCV, ICML, ICASSP, ACM MM, ACII
• IEEE Transactions on - PAMI, Affective Computing, Artificial Intelligence