CV
Education
- Ph.D. in Computer Science, University at Albany – State University of New York, USA, August 2025 – Present
- Research Focus: Machine Learning Optimization Algorithms, AI, Drug Discovery, and Large Language Models (LLMs)
- B.Sc. in Computer Science and Engineering, Chittagong University of Engineering and Technology (CUET), Bangladesh, February 2018 – July 2023
- Advisor: Dr. Mohammed Moshiul Hoque
- Thesis: Multilabel Aggressive Text Classification from Social Media using Transformer-based Approaches
- GPA: 3.81/4.00 (with Honors)
- Merit Position: 8th among 126
- Award: Dean’s Award
Research Experience
- Graduate Research Assistant, Department of CS, University at Albany – SUNY
- August 2025 – Present
- Engaged in research projects focused on optimization algorithms in machine learning.
- Mentor, CUET NLP Lab
- August 2023 – July 2025
- Guided undergraduate students in NLP research projects
- Assisted in dataset creation and curation for low-resource languages, especially Bengali
- Conducted workshops and tutorials on NLP topics and tools
- Supported lab publications through reviewing and co-authoring research papers
- Supervisor, DIU NLP & ML Research Lab
- January 2024 – January 2025
- Supervised research projects in NLP and machine learning
- Collaborated with faculty on AI/NLP/ML research initiatives
- Conducted tutorials and workshops on AI, NLP, and ML
- Mentored undergraduate thesis students on research methodology and experiments
- Research Assistant, Chittagong University of Engineering and Technology (CUET)
- August 2023 – December 2023
- Worked on the project: Developing a Computational Framework to Recognize Emotion from Bengali Texts using Deep Learning
- Collected, curated, and annotated Bengali text data
- Implemented and fine-tuned transformer-based models including Bangla-BERT, m-BERT, XLM-R, and distil-BERT
- Participated in shared-task competitions in NLP
- Undergraduate Student Researcher, CUET NLP Lab
- June 2021 – July 2023
- Developed datasets for low-resource languages: E-MBAD, MAD, and STexD
- Evaluated machine learning, deep learning, and transformer-based approaches for Bengali aggressive text detection and classification
Professional Experience
- Lecturer, University of Asia Pacific (UAP), Dhaka, Bangladesh
- January 2025 – July 2025
- Delivered lectures in Object-Oriented Programming and Software Engineering
- Encouraged project-based learning in software engineering, Python programming, and web development
- Contributed to departmental research and teaching quality improvement
- Lecturer, Daffodil International University (DIU), Dhaka, Bangladesh
- January 2024 – January 2025
- Taught Object-Oriented Programming, Natural Language Processing, C Programming, Information Security, and Algorithms
- Involved students in practical programming activities in C and Python
- Served on the accreditation committee, focusing on SAR-Criteria-4
- Contributed to departmental research and academic quality improvement
- Academic Intern, Bangladesh Research and Education Network (BdREN), Dhaka, Bangladesh
- October 2022 – November 2022
- Assisted in the development of an e-commerce website using Python
- Supported back-end and database integration
- Participated in team meetings and technical support tasks
Projects
- House Price Prediction Modeling using Machine Learning
- Applied four machine learning models for house price prediction
- RandomForestRegressor achieved the lowest mean absolute error
- Developed a website based on the prediction system
- Classification of Bengali Movie Reviews using Machine Learning Techniques
- Explored sentiment classification of Bengali movie reviews into positive, negative, and neutral classes
- Evaluated models using accuracy and related metrics
- CUET Central Library
- Developed a website providing access to library resources, e-books, journals, research papers, and traditional library services
Technical Skills
- Programming: Python, C, C++
- Database: MySQL, Firebase, Oracle
- Deep Learning: TensorFlow, Keras, PyTorch, OpenCV, CUDA
- Web Development: Streamlit, Django, HTML, CSS, PHP
- Version Control: Git
- Writing: LaTeX
Selected Honors and Achievements
- 3rd Position, Task 1: Violence Inciting Text Detection (VITD), First Workshop on Bangla Language Processing, EMNLP, 2023
- 13th Position, Task 2: Sentiment Analysis of Bangla Social Media Posts, First Workshop on Bangla Language Processing, EMNLP, 2023
- Dean’s Award, CUET, 2023
- Teaching Assistant, CSE-435: Information Security, 2022
- Honorable Mention, IEEE Face The Case Competition, 2020
- Best Poster Presenter Award, CSE-244: Algorithms Design and Analysis (Sessional), 2019
- 5th Position (among 15 teams), CUET Career Club Inter University Programming Contest, 2019
- HSC General Scholarship Award, Bangladesh Education Board, 2017
- JSC General Scholarship Award, Bangladesh Education Board, 2012
Publications
Teaching
- Lecturer, University of Asia Pacific (UAP), 2025
- Lecturer, Daffodil International University (DIU), 2024–2025
- Teaching Assistant, CSE-435: Information Security, CUET, 2022
Service and Leadership
- Mentor, CUET NLP Lab, 2023–2025
- Supervisor, DIU NLP & ML Research Lab, 2024–2025
- Class Representative (CR), CUET CSE’17 Batch, February 2018 – July 2023
- Volunteer, 26th International Conference on Computer and Information Technology (ICCIT), 2023
- Volunteer, 3rd International Conference on Electrical, Computer and Communication Engineering (ECCE-2023), 2023
- RMA (Robo Mechatronics Association) Student Member, 2018–2023
- IEEE Student Member, 2018–2023
Training and Workshops
- 2nd International Workshop on Computational Linguistics & Bangla Language Processing (CLBLP), 2023
- Workshop on Software Engineering: Best Professional Practice, 2023
- Workshop on AI and Machine Learning with Python, 2022
- Seminar on Role of NLP in the Era of 4IR, 2022
- Workshop on IoT-based Smart Campus, 2021
Online Courses
- Introduction to Python, DataCamp
- Machine Learning, Stanford University
- Data Scientist in Python, Dataquest
- NLP with Python, Udemy
- Fine Tune BERT for Text Classification with TensorFlow, Coursera
- Transformer Models and BERT Model, Coursera
- Tweet Emotion Recognition with TensorFlow, Coursera