Hi, I'm Asmit Ganguly Researcher
I develop interpretable and efficient AI models for real-world applications, especially in healthcare and multimodal systems
About Me
Personal Moments
A glimpse into my journey and experiences
Making Sense of Models, Medicine, and Mocha
I'm Asmit — a CS grad upcoming neuroscientist obsessed with AI that makes sense, not just predictions.
By day, I decode brains and biomedical images. By night? I’m debugging deep nets and occasionally arguing with quantum algorithms (they never listen).
I’m building AI that doctors can trust — no black boxes, just clear, human-friendly answers. Think of me as the guy who teaches machines to explain themselves.
Let’s make healthcare smarter, safer, and a lot more transparent. 🤖🧠⚕️
Core Expertise
Publications
Cracking the code: enhancing interpretability and accessibility of ophthalmic disorders detection using KAN
SPIE Photonics West Ophthalmic Technologies XXXV
Innovative approach to ophthalmic disorder detection using Kolmogorov-Arnold Networks (KAN) for enhanced interpretability.
SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution
IJCAI 2024 Main
Advanced meme interpretation using robust interpretability techniques beyond traditional input attribution methods.
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs
Method
Novel approach for extracting PICO (Population, Intervention, Comparison, Outcome) frameworks from clinical trial documents using Large Language Models.
Featured Projects
TalkitOut
Full-fledged open-source social media platform with chat, video call, and blogging capabilities. Features real-time communication, community posting, and secure file transfer with AI Co-Pilot integration.
Domain Specific Question Answering (DevRev)
Gold medalist solution for Inter IIT 11.0. Domain adaptation in open domain QA using theme-specific rankers and novel resource allocation algorithms for paragraph examination.
Neural Activity Classifier
Deep learning model for EEG data classification to determine if specific actions are undertaken or thought by patients. Achieves 75% accuracy in single channel, applicable to gaming and VR enhancement.
Ping Pong on FPGA
Standalone ping pong game implemented on FPGA Board DE1-SOC. Integrated hardware design with Linux installation, demonstrating computer architecture principles in embedded systems.
LostFound Android App
Android application for Lost and Found system using Firebase for data storage. Features one-click item return, picture support, and mail verification for enhanced security.
Assembler Emulator
Custom assembler and emulator for a specially designed instruction set. Emulates a 2-register computer with data segment storage using C++, demonstrating low-level programming concepts.