Published multiple peer-reviewed papers at conferences such as ASONAM and COMPSAC. Finalist in the 2023 U.S. Dept. of Energy CyberForce Competition and recipient of the National Project Champion Award in Bangladesh. Recent work involves designing intelligent frameworks for combating identity attacks, mitigating echo chambers, and detecting gender bias in regional language content on social networks.
Research Experience
Over eight years of experience as a software engineer before starting his Ph.D., working for companies like BRAC IT, REVE Systems, and AES, contributing to ERP systems, NLP pipelines, and customer engagement platforms. Practical experience includes full-stack software development, chatbot architecture, system integration, and scalable AI solution deployment.
Education
Currently a Ph.D. student in Computer Science at the University of Texas at El Paso (UTEP), previously at Southern Illinois University Carbondale (SIUC). Holds a Bachelor of Science in Computer Science and Engineering from BUET.
Background
Research interests include the intersection of machine learning, natural language processing (NLP), and social network security. Focused on leveraging large language models (LLMs) and deep learning techniques to address privacy risks, identity deception, and content manipulation in online social platforms. Areas of expertise cover social network security and privacy, explainable machine learning and concept drift, NLP and LLMs (e.g., BERT, RoBERTa, GPT), adversarial behavior and content moderation, as well as real-world applications of AI in ERP systems and user behavior modeling.
Miscellany
More about hobbies and side projects can be found in the 'More about Me' section on his personal site.