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Research Areas

Dr. Mircea Agapie (Computer Science): My specialization is in applied probability (queueing theory and evolutionary algorithms) and artificial intelligence. I am currently combining these topics by developing random graph-based algorithms for machine learning and robot navigation. I have mentored students in projects exploring binary trees, remote sensing, cluster computing and mobile robot navigation.

Dr. Sotirios Diamantas (Computer Science): My research interests span the entire spectrum of Robotics and Computer Vision. In particular, my research focus has been on Active Vision, Robot Navigation, Perception of Autonomous Systems, Visual Odometry, Probabilistic Algorithms and Deep Learning. Prior to joining TSU, I was a senior researcher at the University of Nevada, Reno, carrying out research in the area of perception for autonomous vehicles. Before that, I worked on target recognition and tracking, and multiple-view geometry algorithms for camera-laser calibration as a senior researcher at Athens Information Technology and a research associate at Femto-St Institute in Besancon, France.

I have also worked on:

  • Visual metrics and optical-flow based robot navigation while I was a researcher at the University of Nebraska, Omaha (funded by Office of Naval Research), and a Brain Korea (BK21) postdoctoral research fellow at Pusan National University in South Korea.
  • Biologically-inspired robotics and visual odometry, as part of my PhD research at the University of Southampton, UK.

Dr. Haitham Abu Ghazaleh (Electrical Engineering): My research interests are mainly in radio resource management and performance analysis of various types of wireless networks, such as adhoc and cellular networks. They further include wireless teletraffic modeling and performance analysis, adaptive network resource management, eHealth networks, mobility modeling in future generation wireless networks, and applications of queueing theory for both modelling and analyzing such systems. My current efforts are focused on developing optimal radio resource management strategies in cognitive wireless sensor networks for Smart Cities, Smart Grids, and the Internet of Things. Another research interest is embedded systems technologies for designing smart devices, measurement and control systems.

Dr. Richard Reese (Computer Science): My research interest include programming languages and software tools. I have authored several books on Java and C.

Dr. Zdenek Tronicek (Computer Science): I like software development, programming languages and software engineering. I have been using and teaching Java and Java technologies for more than 20 years and I have passed several Oracle Java certifications (the most recent was Oracle Certified Professional, Java SE 8 Programmer in 2015). My current research project is Comenius (, an autograder for programming assignments. The system is a web application implemented in Java Enterprise Edition, Bootstrap and jQuery, and deployed on Amazon Web Services. It provides students with several benefits, such as instant feedback and availability, and it has been used for several semesters in my C and Java classes. The implementation of Comenius draws on several research areas in software engineering, such as static code analysis and plagiarism detection.

Dr. Jun Xu (Mechanical Engineering): My main research interests are in thermal-fluids related areas including Computational Fluid Dynamics, heat transfer, and bio-transport processes, within the broad scope of mechanical engineering. These interests steam from my multidisciplinary doctoral research experience at State University of New York at Stony Brook and postdoctoral training at Georgetown University and Cornell University. I have applied the general thermal-fluids theories to a broad spectrum of biomedical applications such as cell adhesion and rolling in blood flow, neuron’s response to chemical gradients, and signal transduction through ion channels inside a single neuron. More recently, my interests have expanded to  renewable energy areas such as wind energy and HVAC for energy efficient buildings, in addition to computational biophysics. The goal of my research is to develop high performance computational approaches that allow for study and understanding of complex fluid, energy, and biophysical systems.

Dr. Eric Wyers (Electrical Engineering): My research interests are in optimization over discrete engineering design spaces, autonomous calibration of complex systems through machine learning, and robust engineering design optimization.