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Farhad Hossain Farhad Hossain
Farhad Hossain Farhad Hossain
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Farhad Hossain - PhD Student at Penn State and Cybersecurity Researcher

Farhad Hossain

PhD Student at Penn State

Graduate Research Assistant, College of IST

About Me

I am a PhD student in Informatics at the College of Information Sciences and Technology, Pennsylvania State University, where I work on usable security and privacy for LLM and agentic systems, and on human-centered AI safety.

Before joining Penn State, I earned my B.S. in Information Technology from Jahangirnagar University and worked as a software engineer at Cefalo, developing GDPR-compliant archival management systems for the Norwegian foundation Stiftelsen Asta. Building privacy-preserving systems that non-technical users could actually operate, along with the research I did as an undergraduate, pushed me toward privacy, security, and human-centered design. That is what I work on now.

Research

I study how privacy is lost in systems built on large language models, and how it can be protected. Part of that is technical: measuring where leakage happens and designing pipelines around it. Part of it is human: whether the people affected can understand what these systems do and act on it.

Current projects:

  • Third-Party Relational Leakage in LLM-Mediated Text Rewriting: Research exploration and pipeline design. Pilot experiments and analysis are feeding into an evaluation benchmark. With Dr. Anna Squicciarini.
  • Modeling Metadata Release Under Differential Privacy: Contributing on the machine learning side, testing how ML can improve the release pipeline. With Dr. Anna Squicciarini.

Previous projects:

  • Personhood Credentials and Zero-Knowledge Proof Based Age Verification for LLM Applications: Research question formulation, user study design, and usability pilots. With Dr. Tanusree Sharma.
  • Explainability of Personhood Credentials (World ID): Multi-phase user research identifying explainability barriers in onboarding and verification, and an iOS application that teaches zero-knowledge proof concepts interactively.
  • Systematization of Knowledge on Deepfake Audio: A review of deepfake voice detection methods, their vulnerabilities, and mitigation strategies, mapping out what is still unsolved.

I was awarded the Graham Endowment for Academic Excellence by Penn State IST in 2025.

Experience

 
 
 
 
 
Cefalo AS
Software Engineer
Cefalo AS
Feb 2025 – Jun 2025 Dhaka, Bangladesh
 
 
 
 
 
Cefalo AS
Associate Software Engineer
Cefalo AS
Mar 2022 – Feb 2025 Dhaka, Bangladesh
 
 
 
 
 
CP
                                                Community IIT JU
Team Lead & Senior Trainer
Competitive Programming Community IIT JU
Mar 2019 - Present Savar, Dhaka, Bangladesh
 
 
 
 
 
IEEE Student Branch, Jahangirnagar University
Vice Chair
IEEE Student Branch, Jahangirnagar University
Jan 2021 - Mar 2022 Savar, Dhaka, Bangladesh

Publications

Sabbir Ahmed, Md. Farhad Hossain, Silvia Binte Nur, M Shamim Kaiser, Mufti Mahmud
Toward Machine Learning-Based Psychological Assessment of Autism Spectrum Disorders in School and Community
Proceedings of Trends in Electronics and Health Informatics. Lecture Notes in Networks and Systems, vol 376. Springer, Singapore. 2022.
DOI PDF
Sabbir Ahmed, Silvia Binte Nur, Md. Farhad Hossain, M Shamim Kaiser, Mufti Mahmud, Tianhua Chen
Computational Intelligence in Detection and Support of Autism Spectrum Disorder
Artificial Intelligence in Healthcare. Brain Informatics and Health. Springer, Singapore, 2022.
DOI PDF
Sabbir Ahmed, Md. Farhad Hossain, M Shamim Kaiser, Manan Binth Taj Noor, Mufti Mahmud, Chinmay Chakraborty
Artificial Intelligence and Machine Learning for Ensuring Security in Smart Cities
Data-Driven Mining, Learning and Analytics for Secured Smart Cities. Advanced Sciences and Technologies for Security Applications. Springer, Cham. 2021.
DOI PDF
Sabbir Ahmed, Md. Farhad Hossain, Manan Binth Taj Noor
Convid-net: an enhanced convolutional neural network framework for covid-19 detection from x-ray images
Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 1309. Springer, Singapore 2021.
DOI PDF
Mehrin Anannya, Most. Shahera Khatun, Md. Biplob Hosen, Sabbir Ahmed, Md. Farhad Hossain, M. Shamim Kaiser
Eligible Personal Loan Applicant Selection using Federated Machine Learning Algorithm
International Journal of Advanced Computer Science and Applications. Volume 14, Issue 8, 2023
DOI PDF

Research Projects

© 2024 Farhad Hossain. (Heavily inspired from Dr. Sumon Biswas)

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