About Me
I build AI that has to be trusted before it talks to someone in pain.
I'm a 3rd-year Ph.D. student in Computer Science at George Mason University, advised by Dr. Kevin Lybarger. I study how conversational AI behaves around vulnerable patients in mental-health care, and I want to know it's safe before a real clinic ever tries it.
It started in NLP. As Co-PI on a CASR-funded project at AUST, I helped build an early benchmark for detecting fake reviews in Bengali, and I've published across NLP and computer vision since. That pulled me toward safety-critical AI.
Before the Ph.D., I was a Lecturer at Ahsanullah University of Science and Technology (AUST), Dhaka, where I graduated first in my class. I taught most of the undergraduate CS track, from programming and assembly to algorithms and soft computing, and trained government teachers in Python and AI. Teaching taught me how to explain hard ideas, and that's still how I work.
- Now: Graduate Teaching Assistant at George Mason University.
- Currently: building patient simulations to test how conversational AI handles suicide-risk conversations.
- Outside research: reviewer for Frontiers in AI and two other journals.
Research Interests
Full activity timeline
Oct 2026: Paper published in JMIR AI: A Patient Simulation Framework for Risk Assessment of Conversational Health Care AI: Development and Evaluation Study.
Apr 2025: Paper published at Multimedia Tools and Applications (link).
Aug 2024: Joined the CS department of George Mason University as a Ph.D. student.
Apr 2024: Paper published at Neurocomputing (link).
Mar 2024: Paper published at W-NUT 2024, collocated with EACL 2024 (link).
Dec 2023: Two papers presented at ICCIT 2023.
Oct 2023: Promoted to Senior Lecturer, Department of CSE, AUST.
Jul 2023: Four papers accepted at BIM 2023.
Mar 2023: Presented a paper at ICNLP 2023.
Oct 2022: Article accepted at the Iranian Journal of Computer Science.
Jul 2022: Presented a paper at ICICTD 2022.
May 2022: Paper accepted for the LNNS series (vol. 583) at DCAI 2022.
Jan 2022: Awarded funding for a project from CASR, AUST.
Jun 2021: Joined as a Lecturer, Department of CSE, AUST.
Feb 2021: Joined as an Adjunct Lecturer, Department of CSE, AUST.
Dec 2020: Successfully defended my B.Sc. Thesis.
Nov 2020: Paper accepted at ICCIT 2020.
Research Experience
Development of an Advanced AI System for Depression Management
Evaluating conversational AI for depression management: exploring how large language models can improve antidepressant recommendations and patient outcomes. The project develops patient simulations and risk-assessment methods to test whether conversational agents give trustworthy guidance on antidepressant selection.
Patient Simulation for Systematic Evaluation of Conversational Agents in Healthcare for Suicidal Patients
A Patient Simulation Framework for Risk Assessment of Conversational Health Care AI: Development and Evaluation Study
Bengali Fake Reviews: A Benchmark Dataset and Detection System
Conference Presentations
Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks
Effectiveness of Transformer Models on IoT Security Detection in StackOverflow Discussions
Journal Reviewing
Lybarger Language Lab
Publications
Full list, synced live from Google Scholar (20+ publications, 250+ citations, h-index 11).
Education
Ph.D. in Computer Science
B.Sc. in Computer Science and Engineering
CGPA: 3.934 / 4.00. Graduated 1st in merit position. Supervisor: Mr. Mohammad Imrul Jubair.
Higher Secondary Certificate (HSC)
GPA: 5.00 / 5.00
Secondary School Certificate (SSC)
GPA: 5.00 / 5.00
Achievements
- Dean's List of Honors, Ahsanullah University of Science and Technology
- Government Scholarship, SSC, Sylhet Board, 2013
- Government Scholarship, JSC, Sylhet Board, 2010
- I-Genius, Grameenphone Prothom Alo Internet Festival, 2013
- Participated in the 5th International Conference on Natural Language Processing, Guangzhou, China, 2023
- Participated in the 19th International Conference on Distributed Computing and Artificial Intelligence, L'Aquila, Italy, 2022
- Participated in the 23rd International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 2020
Teaching Experience
Graduate Teaching Assistant
Courses: Database Concepts, Introduction to Low-Level Programming.
Senior Lecturer
Lecturer
Part-Time Faculty
AI & Python Facilitator
Delivered government-sponsored training on Python and Artificial Intelligence.
Courses taught, by semester
Spring 2020
Assembly Language Programming
Assembly programming basics, instruction formats, interrupts, procedures, and hardware interfacing.
Fall 2020
Algorithms Lab
Algorithmic complexity analysis and design techniques: divide and conquer, greedy methods, dynamic programming, backtracking, and branch and bound.
Pattern Recognition Lab
Object classification and machine learning: regression, Bayesian classifiers, neural networks, decision trees, SVMs, and clustering.
Spring 2021
Computer Programming
Introductory programming: variables, control flow, functions, recursion, arrays, pointers, structures, and basic data structures.
Computer Programming Lab
Laboratory works based on the Computer Programming course.
Pattern Recognition Lab
Object classification and machine learning: regression, Bayesian classifiers, neural networks, decision trees, SVMs, and clustering.
Fall 2021
Object-Oriented Programming Lab
Laboratory work on OOP principles: classes and objects, encapsulation, inheritance, polymorphism, and class hierarchy design.
Algorithms Lab
Algorithmic complexity analysis and design techniques: divide and conquer, greedy methods, dynamic programming, backtracking, and branch and bound.
Soft Computing Theory
Fuzzy sets and logic, artificial neural networks, probabilistic reasoning, and genetic algorithms.
Spring 2022
Object-Oriented Programming Lab
Laboratory work on OOP principles: classes and objects, encapsulation, inheritance, polymorphism, and class hierarchy design.
Soft Computing Theory
Fuzzy sets and logic, artificial neural networks, probabilistic reasoning, and genetic algorithms.
Soft Computing Lab
Laboratory works based on the Soft Computing course.
Fall 2022
Introduction to Computer System
Basic principles of analog and digital computation, number systems, computer architecture and organization, operating systems fundamentals, and computer security.
Soft Computing Theory
Fuzzy sets and logic, artificial neural networks, probabilistic reasoning, and genetic algorithms.
Get in Touch
The best way to reach me is by email. I'm always happy to talk about health informatics, NLP, and evaluating AI systems for safety-critical settings.