PhD Students
ALI AWAD received the B.S. degree in Computer Engineering from Philadelphia University in Jordan, in 2017 and the M.S. degree in Computer Engineering from the German-Jordanian University in Jordan in 2019. He is currently pursuing a Ph.D. degree in Computational Science and Engineering at Michigan Technological University in the US. Mr. Ali has excellent practical experience in hardware and low-level control systems with his research interests revolving around autonomous robotics, digital signal processing, and data science
Zoe Mazurkiewicz obtained my B.S. degree in Mathematics and Computer Science from Michigan Technological University in 2025 and am currently pursuing a Ph.D. in Computational Science and Engineering at Michigan Tech. My research interests lie in the application of machine learning to alternative energy systems and sustainability. Specifically, my current work focuses on developing predictive models to analyze and enhance snow shedding behavior on photovoltaic panels, with the goal of improving energy production efficiency under extreme weather conditions.
Nirmal Loganathan earned a B.E. in Electronics and Communication Engineering from Sri Sairam Engineering College, India, in 2023, and a M.S. in Data Science from Michigan Technological University, USA, in 2025. He is currently pursuing a Ph.D. in Computational Science and Engineering at Michigan Technological University. His previous work includes developing comprehensive perception-to-control pipelines for autonomous vehicles and robotic systems. His research interests include artificial intelligence, computer vision, and robotic perception.
Alex Hromada received his B.S in Computer Science in 2022 and his M.S in Data Science in 2024 from Michigan Technological University in Houghton, MI. He is currently pursuing a Ph.D. in Computational Science and engineering at Michigan Technological University. His research interests center on applying machine learning and computer vision to freshwater and marine ecology applications. His current work focuses on exploring underwater image enhancement techniques to improve detection of invasive aquatic species.
MSc Students