Dr. Yanik received the B.S.E.E. degree and the M.S. degree in computer engineering from North Carolina State University, Raleigh, NC, in 1989 and 1995 respectively, and the Ph.D. degree in computer engineering from Clemson University, Clemson, SC in 2013. Prior to his appointment at WCU, he practiced in industry as an electrical engineer in the design of microprocessing, telecommunications, and avionics hardware. His research interests include robotics, machine learning, and pattern recognition. He is a Senior Member of IEEE.
Dr. Yanik's teaching interests center on the discipline of computer engineering and intelligent systems. Of particular interest are teaching topics relating to digital systems, linear systems and control, robotics, circuits, artificial intelligence (knowledge engineering, pattern recognition, machine learning), image processing, automation, software engineering, and instrumentation.
Dr. Yanik's research interests are centered in the development of complex intelligent and adaptive systems involving pattern recognition, machine learning, artificial intelligence, robotics, human-robot interaction, emergent robotic response with human teachers, robot path planning and shaping, image processing, and engineering education. He has an extensive background in digital electronics design including microprocessors, telecommunications data link layer protocols, electronics design automation and digital<br>design verification.