Jay Gala

I'm a 2024 Computer Science and Management graduate from NMIMS University, Mumbai. I am currently working at Intel Habana Labs as an AI Engineer. Previously, I worked as a research intern with Dr. Xiatian Zhu (scholar) and Dr. Sauradip Nag (website) at the CVSSP Lab, University of Surrey. I also collaborated with Dr. Sriparna Saha (website) at the Indian Institute of Technology, Patna. I am currently interested in diffusion, language modeling, multimodal learning and AI for Indic languages. If you have an interesting project idea, let's get in touch:

Email / CV / Scholar / LinkedIn / Twitter / Github

Updates

New05/2024 : Joined Intel Habana Labs
New11/2023 : One paper on Few-shot learning submitted to Pattern Recognition, Elsevier
New10/2023 : One paper on Adaptive-Labeling accepted at NeurIPS 2023 Workshop

Research

I am broadly interested in Computer Vision and Deep Learning. I have worked on medical images and remote sensing using few-shot, meta, federated learning, etc. Recently, I have shifted my focus on Generative Modeling, 3D Vision, Image and Video Synthesis/Editing.

	Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding Jay Gala, Sauradip Nag, Huichou Huang, Ruirui Liu, Xiatian Zhu Tackling Climate Change with Machine Learning Workshop, NeurIPS 2023 This work introduces a new algorithm to iteratively improve the existing noisy annotations and extract the best performance from any model via combination of Dynamic Thresholding coupled with FixMatch style optimization. Code / ArXiv / Slides
	Enhancing Illegal, Unreported, and Unregulated Fishing Detection through Feature Engineering Jay Gala, Anmaya Agarwal, Saketh Mantha, Yash Katariya, Prashasti Kanikar Presented at the SAS Curiosity Cup, 2023 (14th global rank achieved) Feature engineering on a novel IUU dataset
	Identifying Suspicious Fishing Activity Based on AIS Disabling Events. Anmaya Agarwal, Jay Gala, Saketh Mantha, Yash Katariya, Prashasti Kanikar In review at the Marine Pollution Bulletin Journal, 2023 Release of a novel dataset of illegal fishing vessels and machine learning techniques for identifying them.
	A Review on Detecting Suspicious Fishing Activity Anmaya Agarwal, Jay Gala, Saketh Mantha, Yash Katariya, Prashasti Kanikar Accepted at International Conference on Intelligent Computing and Networking (Highlight Paper), 2023 A review on existing IUU methods. (Proceedings not yet released)

Experience

	AI Software Solutions Engineer May 2024 - Present Optimizing models for performance on Intel hardware
	Generative AI Intern December 2023 - April 2024 Built and deployed end-to-end Generative AI use cases like text-to-SQL, audio-to-text, text-to-image, etc.
	Research Intern July 2023 - December 2023 Worked on remote sensing, noisy label learning, diffusion based editing, etc.
	Research Intern May 2023 - Dec 2023 Worked on medical imaging, federated learning, few-shot, meta learning, etc.

Miscellanies (plural of Miscellaneous)

Reviewer in the WiCV Workshop at ICCV 2023, MLH Fellow in the Prep batch of April 2023, TensorFlow Certified Developer (Sponsored by Google to take the test), Graduated from the Google ML Bootcamp in November 2022, Attended CVIT Summer School on Computer Vision in July 2023

Code copied from Jon Barron's website.