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).
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)
Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data
Pramit Saha , Divyanshu Mishra, J. Alison Noble
MICCAI 2023
Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos
Divyanshu Mishra, He Zhao, Pramit Saha , Aris T. Papageorghiou, J.Alison Noble
MICCAI 2023
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
Felix Wagner, Zeju Li, Pramit Saha , and Konstantinos Kamnitsas
MICCAI MLMI 2023
Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images
Pramit Saha , Yadong Liu, Bryan Gick, and Sidney Fels
MICCAI 2020
Learning Joint Articulatory-Acoustic Representations with Normalizing Flows
Pramit Saha and Sidney Fels
INTERSPEECH 2020
Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG
Pramit Saha , Sidney Fels
AAAI 2019
Deep learning the EEG manifold for phonological categorization from active thoughts
Pramit Saha , Sidney Fels, Muhammad Abdul-Mageed
ICASSP 2019
Muscle excitation estimation in biomechanical simulation using NAF reinforcement learning
Amir H Abdi, Pramit Saha , Venkata Praneeth Srungarapu, Sidney Fels
Computational Biomechanics for Medicine
SPEAK YOUR MIND! Towards Imagined Speech Recognition With Hierarchical Deep Learning
Pramit Saha , Muhammad Abdul-Mageed, Sidney Fels
INTERSPEECH 2019
Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images
Ashis Kumar Dhara, Sudipta Mukhopadhyay, Pramit Saha , Mandeep Garg, Niranjan Khandelwal
IJCARS
SPEAK YOUR MIND! Towards Imagined Speech Recognition With Hierarchical Deep Learning
Pramit Saha , Praneeth Srungarapu, Sidney Fels
INTERSPEECH 2018