Mark Paulik
Dr. Paulik is a Professor of Electrical & Computer Engineering at the University of Detroit Mercy (UDM). He holds the Bachelor of Electrical Engineering Degree from the University of Detroit, the Science Masters Degree from the Massachusetts Institute of Technology, and the Ph.D. Degree from Oakland University. He has several years of industrial experience focusing on the development of embedded automotive systems. His areas of expertise include multi-dimensional signal and image processing and real time systems. Current research efforts are focused on vehicular monitoring and control and concentrate on signal modeling and identification and adaptive/neural systems. At UDM, Dr. Paulik instructs a variety of undergraduate and graduate level classes, including Embedded and Real-Time Systems, Digital Image Processing and Computer Vision, Communication Theory, Control Theory, Hardware Description Languages, and Engineering Design. Dr. Paulik has advised multiple theses exploring a variety of topics which include neural network based on-line signature verification, the integration of INS and GPS data for vehicle tracking and control, and three dimensional object recognition using vector wavelets.
Mohan Krishnan
Dr. MohanKrishnan is a Professor of Electrical & Computer Engineering at the University of Detroit Mercy (UDM). He received a B.Tech. Degree in Electrical Engineering from the Indian Institute of Technology (Madras, India), an M. Tech Degree in Electrical Engineering from the Indian Institute of Technology (Kanpur, India) and a Ph.D. in Electrical Engineering from the University of Windsor (Windsor, Ontario, Canada). His area of expertise is in applications of Digital Signal Processing, including Pattern Recognition problems involving both 1-D and 2-D signals such as signature verification and identification of shape contours of objects; problems involving the use of Computational Intelligence techniques such as Fuzzy Logic and Neural Networks in intelligent control and autonomous vehicle navigation; modeling of mechatronic systems; and engineering education. He has served as a consultant to Army Tank Command under the Army’s SFRE Scientific Services Program on the use of neuro-fuzzy techniques to predict engine oil quality degradation. He has published extensively in the area of Computational Intelligence, in particular in modeling handwritten signatures using neural networks for the purpose of authentication. He can be reached at mohank at udmercy dot edu.
Chaomin Luo
Chaomin Luo is an Assistant Professor of Electrical and Computer Engineering at the University of Detroit Mercy (UDM). He received his Ph.D. degree in Department of Electrical and Computer Engineering at the University of Waterloo, Waterloo, ON, Canada in April 2008, his M.Sc. degree in Engineering Systems and Computing from the University of Guelph, Guelph, ON, Canada in 2002, and his B.Eng. degree in Electrical Engineering from the Southeast University, Nanjing, China in 1988. He was a post-doc researcher at University of Guelph, from May to July 2008. He teaches courses in Robotics, Embedded Systems, Microcontrollers, Digital Logic and Electronic Design Automation. His research interests lie in two areas. The one is in Intelligent Systems, Robotics and Automation, Computational Intelligence and Mechatronics. The other is in Electronic Design Automation of VLSI Circuits, Embedded Systems and Optimization in Electronic Design Automation. He was awarded several Ontario Graduate Scholarships (OGS), and a Postgraduate Scholarship (PGS) from the Natural Sciences and Engineering Research Council (NSERC) of Canada. He received the Best Student Paper Presentation Award at the 2007 Canadian Operational Research Society Conference (SWORD’2007). He was a recipient of the 2003-2005 Graduate Incentive Award and the 2005-2006 President's Graduate Scholarship at the University of Waterloo.
Nizar Al-Holou
Dr. Nizar Al-Holou, is Professor and Chair of Electrical & Computer Engineering at UDM. He teaches courses on Digital Logic, Computer Networks, Microcontrollers, and Computer Architecture. His areas of interest and expertise are Digital Systems, Microprocessors, Fuzzy Logic, Parallel and Distributed Processing, and Ad-Hoc and Vehicular Networking. Dr. Al-Holou’s recent publications have focused on Next Generation Vehicle Networks (NGVN) and distributed processing systems with an emphasis on automotive applications. In the distributed processing systems area, fault-tolerant architectures have been proposed for automotive applications and modeled. Moreover, a system architecture approach to integrate CAN, MOST and wireless communication systems into the vehicular environment has been developed. He holds the Master of Science from Ohio State University, Columbus, OH, and the Ph.D. Degree from the University of Dayton, all in Electrical Engineering.
Utayba Mohammad
Professor Mohammad is a full-time instructor in the Electrical and Computer Engineering Department at University of Detroit Mercy. He teaches courses on Wireless Sensor Networks, Fundamentals of Electrical Engineering, and Digital Logic. His areas of interest and expertise are wireless intra-vehicle networks, cooperative robotic networks, Wireless Sensor Network (WSN), Ad-hoc Networks, and Autonomous Navigation Algorithms. Mr. Mohammad has been consistently involved in the International Ground Vehicle Competition (IGVC) since 2006 and has been conducting research in the areas of Wireless Ad-hoc Inter-vehicle Communication and Real Time Wireless Communication for Intra-vehicle Networks since 2005. He holds a Master’s degree in Electrical Engineering and expects to defend his doctoral dissertation in real-time wireless communications in the near future.
Nassif Rayess
Nassif E. Rayess is Assistant Professor of Mechanical Engineering and teaches statics, dynamics, vibrations,
senior design, mechanical measurements, and NVH. His research interests include Robotic Platform Innovation, NVH, solid mechanics and design, numerical techniques (FEA and BEM), and optics. Dr. Rayess received his BS and PhD in Mechanical Engineering from Wayne State Univ.
Jonathan M. Weaver
Jonathan M. Weaver is Professor and Chair of Mechanical Engineering and teaches statics, dynamics, vehicle
dynamics, robotics, machine design, DOE, mechanical measurements laboratory, innovation and creativity, front end of innovation, CAE, systems engineering, systems architecture and design for x. His research interests relate to
robotics, vehicle dynamics, design of experiments, robust design, innovation and entrepreneurship, and the product
development process. He holds a BS from VPI, and MS and PhD from RPI.
