Welcome
I am a Ph.D. student in Computer Science at the University of Texas at El Paso (UTEP), previously at Southern Illinois University Carbondale (SIUC). My research focuses on AI/ML applications in social network security, privacy, and natural language processing (NLP). I am particularly interested in leveraging deep learning and large language models (LLMs) to understand and address challenges in digital identity, content moderation, and behavioral analysis on social platforms.
Before starting my Ph.D., I worked for over eight years as a software engineer at companies such as BRAC IT, REVE Systems, and AES, where I contributed to ERP systems, NLP pipelines, and customer engagement platforms. My practical experience includes full-stack software development, chatbot architecture, system integration, and scalable AI solution deployment.
I completed my Bachelor of Science in Computer Science and Engineering from BUET, which provided me with strong theoretical and technical foundations. My research has resulted in multiple peer-reviewed publications at conferences like ASONAM and COMPSAC. I was also a finalist in the 2023 U.S. Dept. of Energy CyberForce Competition and a recipient of the National Project Champion Award in Bangladesh.
You can find more about my academic contributions on Google Scholar, professional updates on LinkedIn, and explore my project portfolio here on GitHub or on my personal site.
For more about my hobbies and side projects, check the More about Me section.
Research Interests
I am broadly interested in the intersection of machine learning, natural language processing (NLP), and social network security. My current research focuses on leveraging large language models (LLMs) and deep learning techniques to tackle privacy risks, identity deception, and content manipulation in online social platforms.
Specific areas of interest include:
- Social Network Security and Privacy
- Explainable Machine Learning and Concept Drift
- Natural Language Processing and Large Language Models (e.g., BERT, RoBERTa, GPT)
- Adversarial Behavior and Content Moderation
- Real-world Applications of AI in ERP Systems and User Behavior Modeling
My recent work involves designing intelligent frameworks for combating identity attacks, mitigating echo chambers, and detecting gender bias in regional language content on social networks.
For my publications and other academic contributions, please refer to my CV or Google Scholar profile.
News
[Aug 2025] Received Travel Grant ($650) HyperText 2025!
[July 2025] 5 papers have been accepted in ASONAM workshops (SMS, FAB, DEVIANCE) 2025! co-located with ASONAM 2025!
[July 2025] Joined as Program Committee member at SMS International Workshop 2025! co-located with ASONAM 2025!
[June 2025] Our paper “Comprehensive Privacy Risk Assessment in Social Networks Using User Attributes Social Graphs and Text Analysis” has been accepted to appear at HyperText 2025!
[June 2025] 6 papers have been accepted to appear at NPIC&HMIT 2025!
[May 2024] Our paper “SocialGuard: Bangla Text-Based Gender Identification for Enhancing Integrity in Social Networks” was accepted to appear at COMPSAC 2024!
[Apr 2024] Our work “Combating Echo Chambers in Online Social Network by Increasing Content Diversity in Recommendation” was accepted to ASONAM 2024!
[Nov 2023] Participated in the U.S. Dept. of Energy CyberForce Competition 2023, where our team ranked 56th among 120+ teams across the USA.
[Aug 2023] Presented our paper “Combating Identity Attacks in Online Social Networks: A Multi-Layered Framework Using Zero-Knowledge Proof and Private Blockchains” at ASONAM 2023.
[Sept 2022] Joined BRAC IT as a Senior Software Engineer, enhancing enterprise-level ERP systems.
[May 2022] Successfully completed development of core modules for the AES ERP system (similar to SAP/Oracle), deployed across five industrial concerns.
[2013] Received the Champion Award ($1000) at the National Project Contest organized by BSCCL, Dhaka, Bangladesh.