Manisha Guduri, PhD and assistant professor of electrical and computer engineering
Guduri’s research interests center on biomedical applications and Very Large Scale Integration (VLSI)/Computer-Aid Design (CAD), with a current focus on applying VLSI and AI to healthcare. A Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), Guduri holds significant leadership roles, including serving as the 2025 IEEE Lafayette Section Chair and as a member of the IEEE-USA Awards and Recognition Committee. She is also the incoming Associate Editor for Digital Media with IEEE JETCAS in 2026 and holds various positions within IEEE Women in Engineering and the IEEE Computer Society. Guduri recently published a new book, Combining Visual Intelligence and Federated Learning in Smart Healthcare (IGI Global).
Md Jahidur Rahman, PhD, and assistant professor of practice
Rahman specializes in power engineering, renewable integration, and grid stability. He has been actively involved in projects aimed at enhancing sustainability in shore power operations through integrated distributed generation, with an emphasis on solar, wind, hydrogen, and energy storage technologies. His contributions offer valuable insights into improving the efficiency, stability, and environmental sustainability of modern power grids. Rahman has also developed advanced control algorithms, including PID, fuzzy logic, and nonlinear controllers, along with power converter and filter designs to enhance network performance and reliability. Rahman received the Excellence Thesis Award for his Ph.D. research.
Jegan Rajendran, PhD, and assistant professor
Rajendran’s research spans a wide range of contemporary and high-impact areas, including flexible circuit design and fabrication for portable devices, sensor design and fabrication, signal processing, embedded systems (hardware/software), the Internet of Things, point-of-care and wearable devices, self-powered devices, and energy harvesting. He brings more than 15 years of teaching and research experience. His academic journey began in 2010 as a lecturer at Karunya University in India. He further expanded his expertise through postdoctoral appointments at the School of Engineering Technology at Purdue University and later at the Center for Bioelectronics at Old Dominion University.
Rajendran has authored more than 70 peer-reviewed publications and holds four international patents.
Mohammad Hassanzadeh, PhD, and assistant professor
Hassanzadeh conducts research in artificial intelligence and machine learning, with applications across engineering, healthcare, biomedical sciences, bioinformatics, data science, autonomous vehicles, cybersecurity, financial markets, renewable energy, intelligent agents, and large language models. He served as an Area Chair and Technical Committee Member for the 2025 IEEE International Conference on Future Machine Learning and Data Science (FMLDS 2025), held on November 2–5, 2025, in Los Angeles. Hassanzadeh has also been appointed as a Technical Committee Member for Rules and Judging for the 2026 Robofest World Championship Vision Centric Challenge (Vcc).
