Md Jobair Hossain Faruk, Ph.D.

Md Jobair Hossain Faruk, Ph.D.

Tenure-Track Assistant Professor in Computer Science & Engineering at the University of Central Arkansas. Research areas include quantum machine learning, health informatics, cybersecurity, and software engineering.

About

I am a Tenure-Track Assistant Professor in the Department of Computer Science & Engineering at the University of Central Arkansas (UCA). My work lies at the intersection of quantum machine learning, artificial intelligence, health informatics, cybersecurity, and software engineering, with a focus on developing trustworthy, efficient, and real-world applicable computational systems.

My research integrates classical and quantum machine learning approaches to address complex challenges in healthcare and cybersecurity domains. In particular, I focus on multimodal medical data analysis, including histopathological whole slide images (WSIs), clinical data, and structured biomedical information, with the goal of improving disease prediction, tumor classification, and clinical decision support systems.

Educational Background

I earned my Ph.D. in Computer Science from New York Institute of Technology, my M.S. in Software Engineering from Kennesaw State University, and my B.Sc. in Software Engineering from Sultan Idris Education University, Malaysia. My academic training has provided a strong interdisciplinary foundation across software engineering, machine learning, cybersecurity, and health informatics.

Research Interests

My research interests include quantum machine learning, artificial intelligence for healthcare, multimodal medical data analysis, computational pathology, cybersecurity analytics, and software engineering. I am particularly interested in building hybrid quantum-classical learning frameworks, reinforcement learning-based fusion models, secure and explainable AI systems, and evidence-grounded generative approaches for clinical decision support. Across these areas, my goal is to design methods that are not only accurate, but also interpretable, reliable, and suitable for real-world deployment.

Teaching Interests

My teaching interests include software engineering, requirements engineering, computer networking, cloud computing, cybersecurity, and emerging areas such as quantum machine learning and artificial intelligence. I value a teaching approach that connects theory with practice, enabling students to move from requirements and design to implementation, testing, and evaluation while developing strong technical communication and problem-solving skills.

Work History

  • Tenure-Track Assistant Professor, University of Central Arkansas, Department of Computer Science & Engineering (2025–Present)

  • Graduate Research Assistant, New York Institute of Technology, Jerry Cheng Research Lab (September 2023–Present)

  • Information Systems & Communication Technology Intern, United Nations Headquarters, Office of Information and Communications Technology (May 2024–August 2024; February 2020–August 2020)

  • SciAuth Fellow, University of Illinois Urbana-Champaign, National Center for Supercomputing Applications (January 2023–August 2023)

  • Graduate Research Assistant, Kennesaw State University, HISA and IoTAS Research Labs (August 2021–2023)

  • R&D Software Engineering Intern, Material Handling Systems, Inc., Computer Vision Team (May 2022–August 2022)

Collaboration and Opportunities

I welcome collaboration with undergraduate and graduate students, academic researchers, and industry professionals. Students interested in research opportunities are encouraged to contact me with a brief introduction, research interests, and any relevant coursework, projects, or publications.

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