I’m Badhan Chandra Das, PhD candidate at Knight Foundation School of Computing and Information Sciences (KFSCIS), Florida International University, co-advised by Prof. M. Hadi Amini and Prof. Yanzhao Wu. My research is primarily focused on the privacy and security of AI, federated learning, computer vision, large language models, vision language models, and their real-world applications. I am also a Graduate Research Assistant (GRA) at the Security, Optimization, and Learning for InterDependent Networks Laboratory (solid lab), FIU and served as Graduate Teaching Assistant (GTA) at KFSCIS, FIU. Before joining FIU, I served as a lecturer in Computer Science department at Bangladesh University of Business and Technology (BUBT), Bangladesh. I graduated in Computer Science and Engineering from Jahangirnagar University, Bangladesh, and completed my MS in the same discipline from the same department. Apart from my academics and profession, I love reading books, traveling, and exploring new things.

Education

♦ Doctor of Philosophy. [Aug. 2022 - Present]
Major: Computer Science
Knight Foundation School of Computing and Information Science (KFSCIS), Florida International University

♦ Master of Science. [2018-19]
Major: Computer Science and Engineering
Jahangirnagar University, Savar, Dhaka, Bangladesh

♦ Bachelor of Science. [2014-17]
Major: Computer Science and Engineering
Jahangirnagar University, Savar, Dhaka, Bangladesh

Research Interests

• AI Security and Trustworthy AI
• Federated Leaning
• Computer vision
• Large Language Models
• AI for Social Media Analytics

Experience

• Graduate Research Assistant. [Aug. 2022 - Present]
  Sustainability, Optimization, and Learning for InterDependent Networks Laboratory(solid lab), FIU.
  Projects: Privacy-Aware AI and its applications, AI-based efficient threat detection (supported by DHS)

• Graduate Teaching Assistant. [Aug. 2022 - Dec. 2023, Jan. 2025 - Apr. 2025, Jan. 2026 - Apr. 2026]
  Knight Foundation School of Computing and Information Sciences (KFSCIS), Florida International University.

• Full-time Lecturer. [Dec. 2020- July 2022]
  Dept. of Computer Science and Engineering
  Bangladesh University of Business and Technology (BUBT), Dhaka, Bangladesh.

• Part-time Lecturer. [May. 2019- Aug 2019]
  Dept. of Computer Science and Engineering
  University of Development Alternative (UODA), Dhaka, Bangladesh

• Research Assistant (JU-DM, Jahangirnagar University). [Aug. 2018- Nov. 2020]
  Projects: Topic-oriented active online local community search (supported by UGC, Bangladesh), Election prediction from social media data

Selected Publications

• Das, Badhan Chandra, Yanzhao Wu, and M. Hadi Amini. “In-depth Analysis of Privacy Threats in Federated Learning for Medical Data.” IEEE Journal of Biomedical and Health Informatics (J-BHI) [Accpeted].
• Das, Badhan Chandra, Yanzhao Wu, and M. Hadi Amini. “An accurate and efficient two-stage framework for gun detection in videos.” IEEE International Conference on Cognitive Machine Intelligence (CogMI-2026).
• Das, Badhan Chandra, Tasnim Jawad, Md Jueal Mia, M. Hadi Amini, and Yanzhao Wu. “Jailbreaking large vision language models in intelligent transportation systems.” IEEE International Conference on Machine Learning and Applications (ICMLA), 2025.
• Das, Badhan Chandra, M. Hadi Amini, and Yanzhao Wu. “Security and privacy challenges of large language models: A survey.” ACM Computing Surveys 57, no. 6 (2025): 1-39.
• Das, Badhan Chandra, M. Hadi Amini, and Yanzhao Wu. “Privacy risks analysis and mitigation in federated learning for medical images.” In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1870-1873. IEEE, 2023. Acceptance Rate: 19.7%.
• Al Mahmud, Jubayer, Bandhan Chandra Das, Jungpil Shin, Khan Md Hasib, Rifat Sadik, and Muhammad Firoz Mridha. “3D gesture recognition and adaptation for human–robot interaction.” IEEE Access 10 (2022): 116485-116513.
• Jani, Rafsun, Md Shariful Islam Shanto, Badhan Chandra Das, and Khan Md Hasib. “Machine learning-based social media news popularity prediction.” In International Conference on Hybrid Intelligent Systems, pp. 714-725. Cham: Springer Nature Switzerland, 2022.
• Das, Badhan Chandra, Md Musfique Anwar, Md Al-Amin Bhuiyan, Iqbal H. Sarker, Salem A. Alyami, and Mohammad Ali Moni. “Attribute driven temporal active online community search.” IEEE Access 9 (2021): 93976-93989.
• Mahbubur Rahman, Md, Badhan Chandra Das, Al Amin Biswas, and Md Musfique Anwar. “Predicting Participants’ Performance in Programming Contests Using Deep Learning Techniques.” In International Conference on Hybrid Intelligent Systems, pp. 166-176. Cham: Springer Nature Switzerland, 2022.

• Das, Badhan Chandra, and Md Musfique Anwar. “Attribute driven temporal local active online community detection.” In 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), Acceptance Rate: 19.2%.

• Under review:
  • “Multi-turn Jailbreaking Attack in Multi-Modal Large Language Models.” arXiv:2601.05339 (2026);
  • “System Prompt Extraction Attacks and Defenses in Large Language Models,” arXiv:2505.23817 (2025).

Teaching

• Graduate Teaching Assistant, KFSCIS, FIU
  • Introduction to Artificial Intelligence (Spring 2025, Spring 2026)
  • Operating System (Spring 2023, Fall 2023)
  • Mentored K-12 teachers on the Research Experience for Teachers (RET) program (Summer 2023)
• Course Support (GTA), Break Through Tech / Cornell Tech
  • Foundations of Machine Learning (Summer 2026)
• Curriculum Development
  • Developed and launched the FIU micro-credential “Artificial Intelligence in Crime Analysis and Detection,” supported by DHS CINA (Summer 2025)
• Guest Lectures
  • Foundation of Machine Learning, Break Through Tech (Summer-2025)
  • Introduction to Artificial Intelligence, FIU (Spring-2025, Fall-2025)
  • Advanced Topics in Machine Learning, FIU (Fall-2024)
  • Introduction to Artificial Intelligence, FIU (Fall-2023)
• Bangladesh University of Business and Technology (BUBT), Bangladesh
  • Data Mining Theory and Application (Spring-2021, Summer-2021, Spring-2022, Summer-2022)
  • Pattern Recognition (Summer-2022)
  • Project Management and Professional Ethics (Summer-2021)
  • Object-Oriented Programming with Java (Spring-2021, Summer-2022)
  • Advanced Software Development and Project (Spring-2021, Fall-2021, Spring-2022)

Mentorship

• Graduate Peer Mentor, FIU — mentored first-year Computer Science PhD students through FIU’s University Graduate School peer mentoring program (2026)
• Graduate Research Mentorship, FIU — mentored PhD and MS students in the KFSCIS, FIU on LLM/VLM security and video-based threat detection research, resulting in co-authored publications (CMLA-2025)
• Undergraduate Research Mentorship, BUBT — guided undergraduate students in data mining research applied to healthcare and social network analysis, resulting in peer-reviewed publications (MIDAS-2021, HIS-2022)

Awards, Grants, and Scholarships

• UGS Excellence Award for Outstanding Paper or Manuscript, FIU for the paper “Security and Privacy Challenges of Large Language Models: A Survey,” ACM Computing Surveys [2025]
• Best Poster Award [3rd place], Graduate Student Appreciation Week, FIU [2025]
• Student Travel Grant: NSF travel grant for International Conference on Bioinformatics and Biomedicine [BIBM-2023]
• Conference Travel Grant: From Graduate and Professional Student Committee (GPSC) at FIU [2023, 2025]
• Student Travel Award: From Bangladesh Sweden Trust Fund [2022-23]
• Developing Country Researcher Award: 7th IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Gold Coast, Australia [2020]
• Special Research Grant from University Grants Commissions of Bangladesh (UGC) [2019-20]
• Yearly Scholarship on Academic Result in Undergrad [2014, 2015, 2016, 2017]

Professional and Organizational Activities

Conference Reviewer: NeurIPS (2026), ICMLA(2026), WWW (2025), IJCAI (2025), ICLR (2024, 2025), ICDCS (2024), ICEDGE, IEEE CSDE (2021, 2022, 2023)

• Journal Reviewer: ACM Computing Surveys, ACM Transactions on Privacy and Security (TOPS), IEEE Transactions on Machine Learning in Communications and Networking (TMLCN), IEEE Transection of Big Data (TBD), IEEE Transactions on Information Forensics and Security (TIFS), Applied Artificial Intelligence (AAI), Taylor and Francis, Springer Journal of Supercomputing, IEEE Access
• Worked at Jahangirnagar University computer club (JU computer club) as General Secretary from August 2017 to August 2019
• Organized and hosted several events and workshops introducing CS freshers to different research and industry technologies under the JU computer club
• Memberships: ACM Student Member, AAAI Student Member

Contact

• Email: bdas004@fiu.edu | badhan0951@gmail.com