Biography
Faraz Hussain is an Associate Professor and Program Lead in the Department of Electrical and Computer Engineering at Clarkson University, where he has served since 2017. His work spans programming languages, software engineering, edge computing, cybersecurity, and applied machine learning.
Education Background
- Ph.D., Computer Science, University of Central Florida, 2016.
- M.S., Computer Science, Iowa State University, 2009.
- B.E., Computer Science, Birla Institute of Technology & Science, Pilani, India, 2004.
Courses Taught
- EE 262: Introduction to Object-Oriented Programming and Software Design
- EE 361: Fundamentals of Software Engineering
- EE 363: Software Components & Generic Programming
- EE 462 / EE 567: Software System Architecture
- CS 470 / EE 404 / EE 504: Deep Learning
- EE 591: Blockchain Technology: Cryptocurrencies and Beyond
Teaching Interests
Software engineering, computer programming, programming languages & compilers, systems programming, software specification, testing, and verification.
Service
University Service
- Chair, Software Engineering Curriculum Committee (2026 – present); member since 2017
- Chair, ECE ABET Committee (July 2026 – present)
- Lead, ABET committee for Software Engineering (2025 – present)
- Adviser, Software Engineering Club (2024 – present)
- Adviser, Tau Beta Pi, Clarkson Chapter (2024 – present)
- Member, Honorary Degree Committee (2022 – present)
- Member, Curriculum and Academic Policy (CAP) Committee (2022 – present)
- Member, Teaching Excellence Committee (2019 – 2022)
Publications
- S. K. Abbas, S. Purnapatra, M. G. S. Murshed, C. Miller-Lynch, L. Igene, S. Dey, S. Schuckers, F. Hussain. “Conditional Synthetic Live and Spoof Fingerprint Generation.” IET Biometrics, 2026.
- M. G. S. Murshed, S. K. Abbas, S. Purnapatra, D. Hou, F. Hussain. “Deep Learning-Based Approaches for Contactless Fingerprints Segmentation and Extraction.” BIOSIG, 2025.
- R. Shadman, A. A. Wahab, M. Manno, M. Lukaszewski, D. Hou, F. Hussain. “Keystroke Dynamics: Concepts, Techniques, and Applications.” ACM Computing Surveys, 2025.
- M. G. S. Murshed, K. Bahmani, S. Schuckers, F. Hussain. “Deep Age-Invariant Fingerprint Segmentation System.” IEEE Transactions on Biometrics, Behavior, and Identity Science 7:3, 2025.
- M. G. S. Murshed, C. Murphy, D. Hou, N. Khan, G. Ananthanarayanan, F. Hussain. “Machine Learning at the Network Edge: A Survey.” ACM Computing Surveys 54:8, 2021.
- M. G. S. Murshed, J. J. Carroll, N. Khan, F. Hussain. “Resource-Aware On-Device Deep Learning for Supermarket Hazard Detection.” IEEE ICMLA, 2020.
- E. Verenich, A. Velasquez, N. Khan, F. Hussain. “Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia.” IEEE ICMLA, 2020.
- E. Verenich, A. Velasquez, M. G. S. Murshed, F. Hussain. “FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints.” USENIX OpML, 2020.
- A. Ramanathan, L. Pullum, F. Hussain, D. Chakraborty, S. K. Jha. “Integrating Symbolic and Statistical Methods for Testing Intelligent Systems: Applications to Machine Learning and Computer Vision.” DATE, 2016.
- F. Hussain, C. J. Langmead, Q. Mi, J. Dutta-Moscato, Y. Vodovotz, S. K. Jha. “Automated Parameter Estimation for Biological Models Using Bayesian Statistical Model Checking.” BMC Bioinformatics 16(Suppl 17), 2015.
- F. Hussain, G. T. Leavens. “temporaljmlc: A JML Runtime Assertion Checker Extension for Specification and Checking of Temporal Properties.” IEEE SEFM, 2010.