Associate Professor-Director, B.S. in Applied Information Technology Program
Education
Ph.D., New York University | Tandon School of Engineering
M.S., New York University | Tandon School of Engineering
M.S., Purdue University
B.S., National Polytechnic Institute of Algiers
Dr. Mohammed Ketel is a Professor at the Yale Gordon College of Arts and Sciences at The University of Baltimore. He holds a Ph.D. in Electrical Engineering from New York University | Tandon School of Engineering. Dr. Ketel is engaged in both teaching and research within the domain of computing and information technology.
My research interests lie in the fields of the Internet of Things (IoT), blockchain technology, virtualization and cloud computing, IT/computing education, and computer security. I have published and presented research articles at peer-reviewed conferences such as the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), as well as in international journals. Additionally, I have co-authored technical papers with undergraduate students, fostering their engagement in academic research. I will continue to explore the latest technological innovations, focusing on both theoretical advancements and their applications. This includes the use of AI and machine learning in emerging areas. I am also interested in exploring the ethical and social implications of advanced technologies like AI, blockchain, and IoT.
I teach a variety of Information Technology (IT) courses, including networking, computer hardware and software, capstone experience, and computer security, with an emphasis on the connection between theory and practice. I aim to build a strong foundation in computing and IT for students and foster their curiosity about emerging technologies in this rapidly evolving sector. As technology continues to advance at a fast pace, I am committed to updating and developing educational materials that help students adapt to and thrive in the fast-evolving world of IT. My teaching interests include Artificial Intelligence (AI), machine learning, blockchain, and other emerging technologies.
Non-Refereed Journal Articles
Arvin, S., Hendricks, N., & Ketel, M. (2025). Artificial Intelligence, Cybersecurity, and a Growing Ethical Dilemma. Transactions on Engineering and Computing Sciences.
Forrest, S., Baker, K., & Ketel, M. IEEE International Conference on Electrical, Computer and Energy Technologies 2021 (ICECET 2021), "Blockchain Enabled IoMT and Security," IEEE, Cape Town, South Africa. (2021).
Forrest, S., & Ketel, M. RED Talks, "Internet of Medical Things: Enabling Key Technologies," UBalt, University of Baltimore. (2021).
Forrest, S., Ketel, M., & . IEEE SE 2021, March 10 - 14, 2021, "Internet of Medical Things: Enabling Key Technologies," IEEE, Atlanta, GA (virtual). (2021).
"Blockchain Enabled IoMT and Security" (On-Going)
The wide adoption of Internet of Medical Things (IoMT) devices can benefit the medical field and its patients greatly. Security and privacy concerns are barring IoMT technology and devices from reaching their full potential and distribution. Blockchain technology poses a solution to IoMT’s security and privacy related issues while also allowing for traceability of pandemic origin. In this article, we present blockchain-enabled IoMT technologies, their benefits, structure, and discuss future possibilities of a wider-connected world of IoMT connected devices.