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Hello world! I am a final year doctoral student in the Department of Engineering Science at the University of Oxford, fortunate to be supervised by Prof. Alison Noble, CBE FRS FREng FIET. As a part of the Oxford Biomedical Image Analysis (BioMedIA) cluster, my research focuses on Federated Learning, Semi-supervised Learning, and Multimodal Learning towards applications in Computer Vision and Medical Image Analysis. Prior to this, I was a MITACS Globalink Graduate Fellow pursuing masters in the Electrical and Computer Engineering Department, University of British Columbia (UBC), Vancouver, Canada, where I was a Graduate Research Assistant in the Human Communication Technologies Laboratory (HCT Lab), supervised by Prof. Sidney Fels. During my masters, I was awarded the prestigious Young Scientist Award by MICCAI Society and UBC Faculty of Applied Science Graduate Award by the University of British Columbia (UBC).

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Updates

[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



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)

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 Lumiere Education (2022, 2023)

Research Mentor (Machine Learning) at Horizon Academic (2022, 2023)

Teaching Assistant (Machine Learning in Computer Vision) at Cambridge Centre for International Research (CCIR), United Kingdom (2022, 2023)

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

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

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

Conference Reviewer

• IEEE ISBI 2024

• MICCAI 2023

• DART MICCAI 2022

• MICCAI 2020

• MICCAI 2019

• IEEE TENCON 2016

Journal Reviewer

• IEEE Access

• Neural Computing & Applications

• Knowledge-Based Systems (Elsevier)





Spotlight Research

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