Javad Nia, Ph.D.
Biography
Prof. Nia earned his Ph.D. in Electrical and Electronic Engineering in 2003, with a specialization in Artificial Intelligence. He has over two decades of experience in teaching, research, academia, and industry prior to joining Utica University.
Dr. Nia has led numerous funded research projects in Artificial Intelligence, Machine Learning, Computer Vision, Pattern Recognition, Intelligent System, Digital Image Processing, and biomedical applications, collaborating with international institutions in Canada and Germany. He has published over 140 peer-reviewed articles and five books and has supervised 14 Ph.D. students and 65 M.Sc. students.
He is an educator who has developed and taught a wide range of courses in electrical and computer engineering and physics, including pre-engineering and interdisciplinary programs, with a strong commitment to student success and innovation in engineering education.
Opportunities for Student Research and Collaboration
I would like to invite motivated STEM students to join me in research at the intersection of Electrical and Electronic Engineering and Artificial Intelligence. This is an exciting and rapidly growing field with applications in digital equipment, smart electrical systems, robotics, mechatronics, medical technologies, and other advanced areas. I have led numerous interdisciplinary research projects in STEM, including large-scale intelligent control systems and biomedical AI applications. If you are curious, willing to learn, and eager to apply your knowledge to real-world problems, I encourage you to get involved in these areas of research with me. Participating in these areas of research will help you develop valuable skills, gain hands-on experience, and prepare for future academic or career opportunities.
Research
Check out Prof. Nia's research profile in Google Scholar
Courses Taught
After joining Utica University, Prof. Nia has actively developed engineering-related courses to better support students pursuing the pre-engineering track. Courses such as PHY/EGR 135 (Design Thinking in Physical Sciences and Engineering) and PHY/EGR 400 (System Analysis and Design) were newly developed based on active learning principles and are now taught by him. Utica University now offers 3-2 Engineering program in collaboration with two partner institutions, WPI University and Syracuse University.
Other courses he has recently taught include PHY/EGR 351 (Introduction to Electronic Circuits Design and Analysis), PHY/EGR 232 (Statics and Dynamics), PHY 462 (Electricity and Magnetism), and PHY 151/152 (the algebra-based introductory physics sequence).
Prior to joining Utica University, Prof. Nia taught a wide range of electrical and computer engineering courses at the undergraduate, master’s, and Ph.D. levels.
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