Badhan Chnadra Das

Badhan Chnadra Das

PhD Candidate in Computer Science | Graduate Research Assistant, FIU.

About Me

I’m Badhan Chandra Das, PhD candidate at Knight Foundation School of Computing and Information Sciences (KFSCIS), Florida International University. My research is primarily focused on the privacy and security of AI, federated learning, computer vision, large language models, and their real-world applications. I am also a Graduate Research Assistant (GRA) at Sustainability, Optimization, and Learning for InterDependent Networks Laboratory (solid lab), 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 MS in the esame 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
Co-major Advisors: Dr. M. Hadi Amini, Dr. Yanzhao Wu

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

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

Research Interests

  • Privacy and Security of AI
  • Federated Leaning
  • Computer vision
  • Large Language Models
  • AI for Social Good

Experience

  • Graduate Research Assistant. [Jan. 2024 - 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]
    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, 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. “In-depth Analysis of Privacy Threats in Federated Learning for Medical Data.” arXiv preprint arXiv:2409.18907 (2024).
  • 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.
  • 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.

Teaching

  • Graduate Teaching Assistant, KFSCIS, FIU
    • Operating System (Spring 2023, Fall 2023)
    • Mentored K-12 teachers on the Research Experience for Teachers (RET) program (Summer 2023)
    • Introduction to Artificial Intelligence (Spring 2025)
  • Guest Lectures, FIU
    • Introduction to Artificial Intelligence (Fall-2023)
    • Advanced Topics in Machine Learning (Fall-2024)
    • Introduction to Artificial Intelligence (Spring-2025)
  • 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)

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 Appriciation 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]
  • 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: WWW(2025), IJCAI(2025), ICLR (2025), ICDCS(2024), IEEE CSDE(2021, 2022, 2023)
  • Journal Reviewer: IEEE Big Data(2025), IEEE TIFS(2024), Springer Journal of Supercomputing(2024), IEEE Access(2021, 2022)
  • 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