Updates

[Jan. 2025] I have been featured in the Study Abroad Experience Podcast

[Jan. 2025] I have received the Graduate Research Travel Grant Award from Christ Church College, University of Oxford.

[Jan. 2025] I have been selected to give a talk on our Federated Learning works at the FLOWER AI Summit 2025 in London which is the largest Federated Learning Conference.

[Dec. 2024] Three papers: Two on Federated Learning (first-authored) and one on Visual Query-Based Video Clip Localization (second-authored) accepted to AAAI 2025.

[Dec. 2024] Our Federated Learning work “FedPIA - Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning” has been accepted in AAAI 2025 (Main Track). Read it here

[Dec. 2024] Our latest Federated Learning work “F3OCUS – Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics” is now online. Read it here

[Nov. 2024] I presented our work “Optimizing Selective Adapter Insertion for Federated Fine-tuning of Large Vision-Language Foundation Models” in the UKAI Conference.

[Oct. 2024] Our Federated Learning work on “Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities” has been accepted to WACV 2025.

[Sept. 2024] I am serving as a program committee member of AAAI-AISI 2025.

[July 2024] Our paper STAN-LOC: Visual Query-based Video Clip Localization for Fetal Ultrasound Sweep Videos has been accepted to MICCAI 2024. Read it here

[Feb. 2024] Our work on Missing modality Multimodal Federated Learning is now online. Read it here

[Dec. 2023] Arxiv Pre-prints of two machine learning projects by my students (1 and 2) are now available.

[Dec. 2023] Gave an Invited Talk on Federated Learning - Vision, Challenges, and Applications in the Hands-On Workshop on “Machine Learning: An Industry Academia Initiative”, organized by NIT Rourkela, India.

[Oct. 2023] Attended MICCAI 2023 to present my work on Semi-Supervised Federated Learning. Happy to announce that the paper was selected as one of the Top 20 Poster Highlights under the category: Which work has the potential to impact other applications of AI and CV?

[Aug. 2023] Two papers accepted at MICCAI 2023 main conference and one paper at MLMI workshop.

[July 2023] Cofounded AI-based start-up coooool.space on cross-modal information search.

[May 2023] My first-author paper on Semi-Supervised Federated Learning early-accepted in MICCAI 2023.

[Oct. 2022] Elected as the Biomed Panel representative at the Engineering Science GJCC

[July 2022] Elected as the Christ Church GCR Committee Member and Photography Officer.

[June 2022] Gave an Invited Talk on Data Sharing across Institutions: Federated Learning at the workshop “The role of AI in transforming healthcare”, jointly organized by the University of Oxford (UK) and THSTI (India).

[Oct. 2021] Began studying for a DPhil in Engineering Science at the University of Oxford.

[Feb. 2021] Defended my Master’s thesis with 92% score from the University of British Columbia (UBC).

[Jan. 2021] Submitted my 237 page Master’s thesis entitled “Moves made easy : deep learning-based reduction of human motor control efforts leveraging categorical perceptual constraint”

[Dec. 2020] Three short papers accepted at ISSP 2020.

[Nov. 2020] Our work has been featured in Computer Vision News by RSIP Vision.

[Oct. 2020] Received the prestigious “Young Scientist Award” from MICCAI Society.

[Oct. 2020] Presented our paper on Deep Learning-based speech synthesis from Ultrasound video-based tongue movements at MICCAI 2020.

[Oct. 2020] Presented our paper on learning multimodal representations at INTERSPEECH 2020.

[July 2020] My first-author paper accepted in INTERSPEECH 2020.

[June 2020] Gave an Invited Talk on “Making hands talk” at UBC Online Flash Talks.

[May 2020] My first-author paper early-accepted in MICCAI 2020.

[Jan. 2020] Our work on generating speech from hand movements and brain signals featured by UBC

[Jan. 2020] Co-authored a book chapter in Computational Biomechanics for Medicine, Springer

Media/Coverage

• MICCAI Society Young Scientist Award - Computer Vision News, RSIP Vision

• What if you could hear new music by Satchmo? UBC researchers and speech from brain signals

• UBC Award Recipient Interview

• UBC ECE Graduate Student Achievement

• Study Abroad Experience Podcast

Invited Talk

• “Federated Learning - Vision, Challenges, and Applications” in the Hands-On Workshop on “Machine Learning: An Industry Academia Initiative”

• “Data Sharing across Institutions: Federated Learning” at the workshop “The role of AI in transforming healthcare”

• “Making hands talk - Hand gesture-based speech synthesis” at UBC Language Sciences Flash Talk: TEACHING, MAPPING, AND UNDERSTANDING THE SOUNDS OF LANGUAGE

Teaching

• Lead Tutor at Department of Engineering Science, University of Oxford

Subject taught: B15 - Control Systems (2022-23, 2023-24, 2024-25)

• Lab demonstrator at Department of Engineering Science, University of Oxford

Subjects taught: Electrical Machines Lab (2022, 2023), Electrical Lab (2022), Computing Lab (2022, 2023)

• Course Instructor (Engineering, Artificial Intelligence) at Immerse Education, United Kingdom (2022, 2023)

• Research Mentor (Machine Learning) at Veritas AI (2023 - 2025)

• Research Mentor (Engineering, Machine Learning) at Lumiere Education (2022 - 2025)

• Research Mentor (Machine Learning) at Horizon Academic (2022 - 2025)

• Teaching Assistant (Machine Learning in Computer Vision) at Cambridge Centre for International Research (CCIR), United Kingdom (2022 - 2025)

• Interview Tutor (Computer Science, Engineering) and Application Mentor at Crimson Education, United Kingdom (2022, 2023)

• Teaching Assistant at Department of Electrical and Computer Engineering, University of British Columbia (UBC) Vancouver, Canada (2018-2021)

Subjects taught: APSC160 - Introduction to Computation in Engineering Design (2018, 2019), ELEC 203 - Basic Circuit Analysis (2018, 2019), ELEC 371 - Biomedical Engineering Instrumentation (2019, 2020), BMEG 321 - Biomedical Instrumentation (2020), ELEC 523 - Medical Imaging (2019, 2020), ELEC 341 - Systems and Control (2020).

Services

Program Committee

• AAAI 2025 Artificial Intelligence for Social Impact Track

• 5th MICCAI Workshop on Domain Adaptation and Representation Transfer (DART 2023)

• 4th MICCAI Workshop on Domain Adaptation and Representation Transfer (DART 2022)

Conference Reviewer

• CVPR 2025, ICLR 2025, AAAI AISI 2025, IEEE ISBI 2024, MICCAI 2023, DART MICCAI 2022, MICCAI 2020, MICCAI 2019, IEEE TENCON 2016

Journal Reviewer

• IEEE TMC, IEEE Access, Neural Computing & Applications, Knowledge-Based Systems (Elsevier)