St. Xaviers University, Kolkata

Faculty Achievements

DR. TUHIN UTSAB PAUL

Microsoft Certified Educator in 21st Century Learning Design
Elsevier Certified Peer-reviewer
UGC-NET Qualified in June 2012
Awarded GATE scholarship, 2010 by Govt. of India
Google certified on Data Analytics Professional
University Rank Holder in M.Sc. and M.Tech. in University of Calcutta

DR. MRINMOYEE BHATTACHARYA

ISRO project fellow
UGC-NET Qualified in June 2020
Gate Qualified in June 2015

Dr. Soma Debnath

UGC NET Qualified 2015
Gold Medalist in M.Sc 2014
Inspire Fellowship Awarded in 2016
IEEE Transaction on Multimedia Peer-Reviewer
Canadian Journal of Remote Sensing Peer-Reviewer

DR. SAYAN DAS

Junior Research Fellow (JRF) on ITRA (Information Technology Research Academy, Govt. of India) (now Digital India Coporation) sponsored project “Remote Health: A Framework for Healthcare Services using Mobile and Sensor-Cloud Technologies” at Indian Institute of Engineering Science and Technology, Shibpur, as a since Oct., 2015 - Dec. 2018.
IEEE, Elsevier Certified Peer-reviewer
1st Rank holder, MCA department of Guru Nanak Institute of Technology, Kolkata.
2nd Rank holder, M.Tech. Computer Science and Application of University of Calcutta.

Student Achievements

Research Publications
Paper Name	Type	Journal / Conference Name	Status	Author
Security Algorithms in Wearable and Implantable Medical Devices: A Comprehensive Overview	Journal	St Xaviers University Kolkata Journal of Interdisciplinary Research	Accepted	Koustav Bal, Dr. Sayan Das, Dr. Tuhin Utsab Paul
Deep Learning and Transfer Learning Approaches for Glaucoma Detection: A Comprehensive Review	Conference	QEDS 2024, BIT Mesra	Accepted	Keshav Jhunjhunwala, Dr Tuhin Utsab Paul, Dr Sayan Das
Deciphering the Black Box: An overview of Explainable Artificial Intelligence (XIA) Techniques in Healthcare	Conference	ISDIA 2025, Dubai	Accepted (Best Paper Award)	Keshav Jhunjhunwala, Dr. Tuhin Utsab Paul, Dr. Sayan Das
Intelligent Web-Scraping based question-answering Bot	Conference	Adcomsys, UEM Kolkata, 2024	Accepted	Koustav Bal, Dr. Tuhin Utsab Paul, Dr. Mrinmoyee Bhattacharya
Self-Repairing Program Synthesis with Flow Understanding	Conference	2nd Doctoral Symposium on Human Centered Computing, 2023	Accepted	Arnav Das, Dr. Sayan Das
Deep Inception: Cotton Leaf Disease classification with Convolution Precision Neural Network	Conference	International conference on Data Science and Exploration in Artificial Intelligence, Code AI, Scopus Indexed Proceedings, 2025	Accepted	Sumit Saha, Maria Joseph Israel, Mrinmoyee Bhattacharya
A Novel Convolutional Neural Network Framework for Multi-Grade Classification and Early Detection of Diabetic Foot Ulcers	Conference	4th International Conference on Advances in Science, Engineering & Technology (ICASET-2025), Scopus Indexed Proceedings	Accepted	Afsana Yasmin, Anandarup Roy, Mrinmoyee Bhattacharya
Deep Learning Meets Ayurveda: CNN-Based Medicinal Leaf Classification	Conference	International Conference on Artificial Intelligence and Emerging Technologies (ICAIET-2025), IEEE Xplore Proceedings	Accepted	Sumit Saha, Mrinmoyee Bhattacharya
Enhancing Code Reusability: Mapping ROS Source code into Behavior trees.	Conference	CISIM 2025	Accepted	Sara Dhar, Mandira Roy, Tuhin Utsab Paul

Student Projects
Name	About	Student Name	Guide
Glaucoma Detection using Deep Learning	This study explores the development of deep learning techniques for fundus image analysis in the diagnosis of glaucoma. Using transformer learning methods and convolutional neural networks (CNNs), the study aims to identify minute anatomical differences such optic nerve cupping and anomalies in the retinal nerve fibre layer.	Keshav Jhunjhunwala	Dr. Tuhin Utsab Paul
Intelligent Web-Scraping based question-asnwering Bot	LLM-based model capable of scraping a website to solve question-answering tasks	Koustav Bal	Dr. Mrinmoyee Bhattacharya
Self Repairing Code Synthesis with Code Flow Understanding	An LLM model for "natural language to code" generation with code repairing and code understanding through graphs.	Arnav Das	Dr. Sayan Das
Line Follower	A line follower project is a robotics project where a machine is designed to autonomously follow a black line marked on the ground. The machine typically uses Infrared (IR) sensors, to detect the contrast between the line and the surrounding surface. Based on the readings from these sensors, the machine adjusts its movement to stay centered on the line, navigating through a predefined path or course	Afsana Zeba Yasmin, Ashmita Bhattacharjee, Sara Dhar, Sumit Saha	Dr. Shuvendu Chattaraj
Automatic Room Light Control	Automatic light control is a project that utilizes the Arduino microcontroller and a Passive Infrared (PIR) Sensor to automatically control the lighting in a space based on the presence or absence of motion, where the lights in the room will automatically turn ON when human presence is detected and turn off when no one is present. The PIR sensor detects infrared radiation emitted by objects within its field of view. When motion is detected, the sensor sends a signal to the Arduino microcontroller, which then triggers the control of the lights. In a typical setup, the Arduino is programmed to turn on the lights when motion is detected and turn them off after a certain period of inactivity	Afsana Zeba Yasmin, Ashmita Bhattacharjee, Sara Dhar, Sumit Saha, Aryan Gomes, Niladri Sarkar, Soumyadip Banik	Dr. Shuvendu Chattaraj
Leveraging Inception, ResNet and Sequential Models for Enhanced Bengali Handwritten Character Recognition	This project develops a robust Bengali handwritten character recognition system by integrating Inception, ResNet, and sequential models.	Sumit Saha	Dr. Mrinmoyee Bhattacharya
Few-Shot Learning for Multi-Grade Classification of Diabetic Foot Ulcers using Prototypical Networks	This project applies Few-Shot Learning using Prototypical Networks for multi-grade classification of diabetic foot ulcers.	Afsana Zeba Yasmin	Dr. Mrinmoyee Bhattacharya
Blockchain-Enabled I-Voting: An Unbiased Approach to Internet Voting using Fair Chance in Proof of Stake	This project proposes a blockchain-enabled i-voting system that ensures fairness and transparency using a "Fair Chance" mechanism in the Proof-of-Stake consensus.	Ashmita Bhattacharjee	Dr. Sayan Das
Reverse Engineering ROS-Based Systems: Converting Source Code to Behavior Tree Frameworks	This project focuses on reverse engineering ROS-based systems by converting source code into Behavior Tree frameworks for improved modularity and interpretability.	Sara Dhar	Dr. Tuhin Utsab Paul