Posts by Collection

portfolio

Defence for Face-morphing Adversarial Attacks on Facial Recognition Systems

Course project - CS726 : Advanced Machine Learning - Guide : Prof. Sunita Sarawagi

Toxicity Removal in Large Language Models

Course project - CS772 : Deep Learning for Natural Language Processing - Guide : Prof. Pushpak Bhattacharya

Multi-armed Bandits and Markov Decision Processes for Gaming

Course project - CS747 : Foundations in Intelligent and Learning Agents (Reinforcement Learning) - Guide : Prof. Shivaram Kalyanakrishnan

Neuromorphic Computing and Spiking Neural Networks for Real Time Learning

Course project - EE746 : Neuromorphic engineering - Guide : Prof. Udayan Ganguly

Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Course project - DH602 : Machine Learning and Statistical Methods in Healthcare - Guide : Prof. Kshitij Jadhav

Transformer based model for Seizure detection in EEG data

Course project - DH302 : Public Health Informatics - Guide : Prof. Kshitij Jadhav - Secured an AP grade

Facial Feature Detection using the Fastai Library

Course project - DS303 : Introduction to Machine Learning - Guide : Prof. Biplab Banerjee

Automated Recognition, Processing and Sentiment Analysis of Speech

Course project - CS753 : Automatic Speech Recognition - Guide : Prof. Preethi Jyothi - Best Presentation Award

Wavelet transforms for image super-resolution and restoration

Course project - EE610 : Image Processing - Guide : Prof. Amit Sethi - Secured an AP grade

Jigsaw puzzle solver using Computer Vision Techniques

Course project - CS763 : Computer Vision - Guide : Prof. Sharat Chandran

Cardiovascular Disease Prediction Using Data Science Techniques

Course project - DS302 : Programming for Data Science - Guide : Prof. Amit Sethi

Neural Style Transfer for Text and Chat - Season of Code Project

Completed a Summer Project under the Web and Coding club

Reflow Oven for Soldering SMD Components on PCBs

Course project - EE344 : Electronic Design Lab - Guide : Prof. Siddharth Tallur - Best Project Award

IITB RISC ’22 - A Multi-cycle Processor

Course project - EE309 : Microprocessors - Guide : Prof. Virendra Singh

Data Structures and Algorithms - Summer of Science Project

Completed a study report and video presentation under the Math and Physics club

LASSO - A Gaming Program

Course project - CS101 : Computer Programming and Utilization - Guide : Prof. Bhaskaran Raman

Fine Grained Classification and Image Denoising using CNNs

Course project - GNR638 : Machine Learning for Remote Sensing - Guide : Prof. Biplab Banerjee

Analysis of Linear Complexity Distribution of Functions

Course project - EE793 : Topics in Cryptology - Guide : Prof. Virendra Sule

Socket Programming

Course project - CS224 : Computer Networks - Guide : Prof. Vinay Ribeiro

Digital Filter Design and ECG analysis

Course project - EE338 : Digital Signal Processing - Guide : Prof. Vikram Gadre

Speech processing and recognition

Course project - EE678 : Speech Processing - Guide : Prof. Preeti Rao

Multilingual Automatic Speech Recognition for Low-resource Languages

Master’s Thesis-I (Nationwide project - Bhashini, NLTM) at the Computational Speech and Language Technologies Lab, IIT Bombay, Guides: Prof. Preethi Jyothi, Prof. Pushpak Bhattacharya

Speech and Text Generative Models for Automatic Dubbing of Videos

Master’s Thesis-II (Nationwide project - BharatGen) at the Computational Speech and Language Technologies Lab, IIT Bombay, Guides: Prof. Preethi Jyothi, Prof. Ganesh Ramakrishnan

Nuclei Instance Segmentation and Classification for Histopathology Images

Bachelor’s Project-I (Collaboration with TATA Cancer Research Hospital) at the Medical Deep Learning and Artificial Intelligence Lab, IIT Bombay, Guide: Prof. Amit Sethi

CT Reconstruction from Ultrasound Images of Breast Cancer using GANs

Research Assistant (Collaboration with TATA Cancer Research Hospital) at the Medical Deep Learning and Artificial Intelligence Lab, IIT Bombay, Guide: Prof. Amit Sethi

Computer Vision Techniques for Vocal Fold Surgery Assistance

Research Internship (MITACS GRI Award) at the Medical Computer Vision and Robotics Lab, University of Toronto, Onsite: May’23 - Jul’23, Guide: Prof. Lueder Kahrs University of Toronto

Genomics-based Survival Analysis for Lung Cancer using Multimodal Data

Bachelor’s Project-II (Collaboration with TATA Cancer Research Hospital) at the Medical Deep Learning and Artificial Intelligence Lab, IIT Bombay, Guide: Prof. Amit Sethi

publications

Artificial Intelligence-based Eosinophil Count in Gastrointestinal Tract Biopsy

Poster presented in the American Gatroenterology Association meet (DDW), Chicago and published in the Gastroenterology journal, 2023

An eosinophila detection model conquering severe class imbalance built using UNet architecture.

Recommended citation: Shah H.C., Amarpurkar A.D., Jacob T., Parulekar A.M. and Sethi A. (2023). EP178 ARTIFICIAL INTELLIGENCE BASED EOSINOPHIL COUNT IN GASTROINTESTINAL TRACT BIOPSY. Gastroenterology, 164(6), pp.S-1229.
Download Paper | Download Slides

Transforming Breast Cancer Diagnosis: Towards Real-Time Ultrasound to Mammogram Conversion for Cost-Effective Diagnosis

Accepted to the Ultrasonics journal, 2023

Interconversion of CT scans and ultrasounds using wave interference patterns, GANs and fourier domain adaptation.

Recommended citation: Nasser S. A., Sharma A., Saraf A., Parulekar A. M., Haria P. and Sethi A. (2023). Transforming Breast Cancer Diagnosis: Towards Real-Time Ultrasound to Mammogram Conversion for Cost-Effective Diagnosis. https://arxiv.org/abs/2308.05449
Download Paper

Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification

Published and presented in Bioimaging (BIOSTEC), Rome, 2024

A novel loss function and training technique that can be integrated with a multitude of architectures, for consolidating class labels of different nuclei segmentation and classification datasets.

Recommended citation: Parulekar A., Kanwat U., Gupta R., Chippa M., Jacob T., Bameta T., Rane S. and Sethi A. (2024). Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING; ISBN 978-989-758-688-0, SciTePress, pages 281-288. DOI: 10.5220/0012380800003657
Download Paper | Download Slides

A Computer Vision Pipeline for Laryngoscopic Image Standardization through Histogram Matching

Poster presented in the 145th American Laryngological Association meet (COSM), Chicago, 2024

A preprocessing pipeline for larynogoscopic videos that includes removal of unusable frames, illumination correction, specularity removal and finally color transfer to a target intensity distribution.

Recommended citation: Parulekar A., Wiercigroch J., Kahrs L. A. and Lin R. J. (2024). A Computer Vision Pipeline for Laryngoscopic Image Standardization through Histogram Matching.
Download Slides

PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images

Accepted to IEEE ISBI 2025 (International Symposium on Biomedical Imaging), 2024

Developed PathoGen-X, a transformer-based framework that translates histopathology image features into the genomic feature space for improved survival prediction without requiring paired genomic data at testing.

Recommended citation: Krishna A., Kurian N. C., Patil A., Parulekar A. and Sethi A. (2024). PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images. https://arxiv.org/abs/2411.00749
Download Paper

Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR

Accepted to the 4th Multilingual Representation Learning Workshop, EMNLP 2024, 2024

Combining computationally efficient techniques like speech-based parameter-efficient finetuning and text-only adaptation to improve automatic speech recognition of low resource languages using multimodal multilingual models.

Recommended citation: Abhishek Gupta, Amruta Parulekar, Sameep Chattopadhyay, and Preethi Jyothi. 2024. Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR. In Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024), pages 175–185, Miami, Florida, USA. Association for Computational Linguistics.
Download Paper | Download Slides

AMPS: ASR with Multimodal Paraphrase Supervision

Accepted to NAACL 2025, 2025

Integrated paraphrase supervision in a multimodal pipeline to improve Automatic Speech Recognition for spontaneous and disfluent speech.

Recommended citation: Parulekar, A., Gupta, A., Chattopadhyay, S., & Jyothi, P. (2024). AMPS: ASR with Multimodal Paraphrase Supervision. https://arxiv.org/abs/2411.18368
Download Paper