Indronil Bhattacharjee

Computer Science PhD Student, Machine Learning & AI Researcher

Las Cruces, US.

About

Highly accomplished Computer Science PhD student with a strong focus on Machine Learning, Artificial Intelligence, and Reinforcement Learning. Proven ability to develop advanced algorithms for complex scientific and real-world problems, including astrophysics and pilot training. Eager to leverage deep research expertise and technical leadership to drive innovation in challenging R&D environments.

Work

Los Alamos National Laboratory

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Graduate Student Intern 2

Los Alamos, New Mexico, US

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Summary

Leading advanced machine learning algorithm development for a NASA-funded astrophysics research project, applying reinforcement learning to enable scalable multimessenger analysis.

Highlights

Developed advanced machine learning algorithms for pulsar parameter estimation utilizing photometric X-ray data as part of the NASA-funded "Revolutionizing Neutron Star Parameter Inference through Machine Learning" project.

Implemented sophisticated reinforcement learning techniques to enable scalable and efficient analysis within the complex domain of multimessenger astrophysics.

Contributed to cutting-edge research in Machine Learning, Reinforcement Learning, and Astrophysics, pushing the boundaries of scientific data analysis.

New Mexico State University

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Graduate Research Assistant

Las Cruces, New Mexico, US

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Summary

Conducted advanced AI research and system development, applying reinforcement learning and large language models to augment flight training and narrative generation.

Highlights

Engaged in advanced research on Augmenting Flight Training with AI, efficiently training pilots using Reinforcement Learning and contributing to ongoing projects.

Developed systems and conducted research for a project titled Graph-based Narrative Generation using Large Language Models in Soft Skills Training.

Performed comprehensive literature reviews and comparative studies on attention-based vs. memory-based approaches of Knowledge Tracing, informing novel research directions.

Collaborated effectively with Illumia Labs, EdTeKLA Research Group, and IRL Lab (University of Alberta) on interdisciplinary AI/ML research initiatives.

New Mexico State University

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Graduate Teaching Assistant

Las Cruces, New Mexico, US

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Summary

Facilitated computer science courses, provided student guidance, and collaborated on curriculum development to enhance overall learning experiences.

Highlights

Assisted in the facilitation of diverse courses, including Artificial Intelligence, Intelligent Agent, Object-Oriented Programming, Data Structures, and Operating Systems for over 100 students.

Provided targeted guidance to students, clarifying complex programming concepts and fostering deeper understanding, resulting in improved student performance.

Collaborated with professors to develop comprehensive course materials, graded assignments, and exams, significantly enhancing the overall learning experience for students.

New Mexico State University

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Graduate Assistant (Software Development and Database Management)

Las Cruces, New Mexico, US

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Summary

Developed financial software, migrated reporting scripts, and automated data processing to improve efficiency and reliability for facilities and services.

Highlights

Developed a comprehensive software solution for FS Accounting, containing a financial workbook that ensured monthly updates and accurate year-end closings.

Converted all reporting scripts from Oracle to MySQL, successfully facilitating a seamless Banner transition from local servers to the cloud.

Automated reporting scripts into scheduled tasks, significantly improving data processing efficiency and reliability by an estimated 25% for critical operations.

E-Zone Limited

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Data Engineer I - Wireless Network

Dhaka, Dhaka Division, Bangladesh

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Summary

Led key wireless network delivery projects and a team of engineers, significantly reducing operational costs through Python-based data processing tools.

Highlights

Executed the LTE TDD Delivery Project as a Wireless Key Member, marking its first successful implementation in Bangladesh.

Directed a high-performing team of 10 network maintenance engineers in the RAN Delivery Project, ensuring efficient and timely project completion.

Developed Data Processing and Data Extraction tools utilizing Python, which maximally reduced operational costs by streamlining network maintenance workflows.

Volunteer

Program Committee Member

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AAAI

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Served as a member of the Program Committee for the AAAI 2026 conference.

Research Article Reviewer

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PLOS One Journal

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Reviewed research articles for PLOS One Journal, contributing to the peer-review process.

Programming Mentor

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Mentors Without Borders

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Mentored students in programming, fostering skill development and academic growth.

Social Action Project Leader

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British Council Active Citizens

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Led a social action project focused on raising awareness of cervical cancer within the community.

Organizer

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National High School Programming Contest (NHSPC)

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Organized the National High School Programming Contest.

Education

New Mexico State University

Las Cruces, New Mexico, United States of America
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Doctor of Philosophy Computer Science Grade: CGPA 3.85

New Mexico State University

Las Cruces, New Mexico, United States of America
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Master of Science Computer Science Grade: CGPA 3.85

Khulna University of Engineering & Technology

Khulna, Khulna Division, Bangladesh
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Bachelor of Science Computer Science and Engineering Grade: CGPA 3.17

Awards

Preparing Future Faculty Award

NMSU Graduate School

Recognized for commitment to future faculty development and excellence.

Honors Cord for Academic Excellence

NMSU Graduate School

Awarded for outstanding academic achievement during Master's degree studies.

Runner-up, Google Developer Student's Club- NMSU Programming Contest

Google Developer Student's Club- NMSU

Achieved runner-up position in the Fall 2023 and Fall 2024 Programming Contests.

Fastest Solver Bounty Winner, GDSC-NMSU Programming Contest

GDSC-NMSU

Won fastest solver bounty in the Spring 2023, Fall 2023, and Fall 2024 Programming Contests, demonstrating exceptional problem-solving speed.

Huawei Asia Pacific Region Galloping Horse Award for H1 and H2

Huawei

Received prestigious award for outstanding contributions and performance in the Huawei Asia Pacific Region.

Top Performer, Asia Pacific Region Digital Delivery-Programming Orchestration (Python)

E-Zone Limited

Recognized as a top performer in programming orchestration using Python, demonstrating high efficiency and impact.

Publications

Cold Start Problem: An Experimental Study of Knowledge Tracing Models with New Students

International Conference on Artificial Intelligence in Education (AIED)

Authored a study exploring the cold start problem in knowledge tracing models when introducing new students.

Memory vs. Attention: Understanding Their Roles in Deep Knowledge Tracing

International Conference on Learning Analytics and Knowledge (LAK)

Presented a poster track on the comparative roles of memory and attention mechanisms in deep knowledge tracing.

An LLM-Guided Tutoring System for Social Skills Training

AAAI Conference on Artificial Intelligence (AAAI)

Co-authored a demonstration track paper on an innovative LLM-guided tutoring system designed for social skills training.

GLOSS: An LLM-Guided Tutoring System for Social Skills Training

Graduate Student Council Lightning Talk, Graduate Research and Arts Symposium

Presented a lightning talk on the LLM-Guided Tutoring System for Social Skills Training.

Augmenting Flight Training with AI to Efficiently Train Pilots Using Reinforcement Learning

Graduate Student Council Lightning Talk, Research and Creativity Week

Presented a lightning talk on leveraging AI and reinforcement learning to enhance pilot flight training efficiency.

An Efficient Method for Bangla Handwritten Digit Recognition Using Convolutional Neural Network

Technium: Romanian Journal of Applied Sciences and Technology

Published research on an efficient method for recognizing Bangla handwritten digits using Convolutional Neural Networks.

Diabetic Retinopathy Classification from Retinal Images using Machine Learning Approaches

International Conference on Advanced Engineering, Technology and Applications (ICAETA)

Presented research on classifying diabetic retinopathy from retinal images using various machine learning approaches.

Comparative Analysis of Algorithms to Find Frequent K-mers and Their Implementation in SARS-CoV-2

ResearchGate

Authored a comparative analysis of algorithms for finding frequent K-mers and their application in SARS-CoV-2 research.

Dual sentiment analysis: Considering two sides of one review

CSE 4120: Technical Writing and Seminar

Presented a review on dual sentiment analysis, exploring two perspectives of online reviews.

Online Business Platform: Desktop Based E-Commerce Application

ResearchGate

Authored a technical report on the system development project for an online business platform desktop e-commerce application.

Stock Price Prediction: A Comparative Study between Traditional Statistical Approach and Machine Learning Approach

International Conference on Electrical Information and Communication Technology (EICT)

Published a comparative study on stock price prediction using traditional statistical and modern machine learning approaches.

Languages

English

Bengali

Skills

Programming Languages

Python, C, C++, C#, R, Java, PL/SQL.

Web Technologies

NodeJs, ASP.NET, Laravel, JavaScript, HTML, CSS, AJAX, PHP.

Databases

SQL, MySQL, Microsoft SQL Server, MongoDB, Firebase.

Machine Learning & AI

Reinforcement Learning, Knowledge Tracing Models, Machine Learning, Artificial Intelligence, LLM, Behavior Cloning, Adversarial Search, Neural Network, Data Mining.

Development Tools & Methodologies

Git, Object-Oriented Programming, Data Structures, Operating Systems, Software Engineering, Web Development, Data Analysis, System Development.

Frameworks & Libraries

NetworkX, BioPython, BUSCO, Godot, Android.

Interests

Problem Solving

Machine Learning

Artificial Intelligence

Data Analysis

Web Development

Software Engineering

Projects

Narrative Generation using Large Language Models in Soft Skills Training

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Summary

Ongoing project focused on generating narratives for soft skills training using advanced AI.

Augmenting Flight Training with AI to Efficiently Train Pilots Using Reinforcement Learning

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Summary

Ongoing project applying AI and reinforcement learning to improve pilot training efficiency.

Human vs AI Connect4: A Comparison of Minimax, Expectimax and Machine Learning Approaches

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Summary

Comparative study of AI approaches (Minimax, Expectimax, Machine Learning) in the game of Connect4.

Household Chores with Samuel

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Summary

A game designed to raise awareness about the neurodiverse population.

Most Frequent K-mer finding and K-mer assembling on different Coronaviruses

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Summary

Research project on identifying frequent K-mers and assembling them from various coronavirus genomes.

Diabetes Predictive Modeling Leveraging: Machine Learning for Early Detection

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Summary

Project focused on developing machine learning models for early detection of diabetes.

Android application for drinking water tracking Just-in-Time Adaptive Invention

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Summary

Developed an Android application for tracking drinking water intake with adaptive interventions.

Website for Performance Evaluation and Architecture Research Lab

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Summary

Developed a website for the Performance Evaluation and Architecture Research Lab at Klipsch School of Electrical and Computer Engineering.