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Dr. Hakki Erhan Sevil

Biography:

Dr. Hakki Erhan Sevil received his Doctor of Philosophy degree in Mechanical Engineering from the University of Texas at Arlington (UTA), and his Bachelor of Science and Master of Science degrees in Mechanical Engineering from Izmir Institute of Technology. He had over 4 years of research experience at Izmir Institute of Technology, and he was a Visiting Researcher in Service Automation and Systems Analysis (Service d'Automatique et d'Analyse des Systemes - SAAS) Laboratory at Universite Libre de Bruxelles (ULB) in 2009. Between 2009 and 2013, he was conducting research in Computer-Aided Control System Design Laboratory (CACSDL) and Autonomous Vehicles Laboratory (AVL) at UTA.

Before joining University of West Florida (UWF) in 2018, he has worked as a Research Scientist in the Automation & Intelligent Systems Division at the University of Texas at Arlington Research Institute (UTARI) between 2014 and 2018. His research interests include robotics, guidance and navigation, fault detection and isolation, bio-inspired and evolutionary computational methods, and distributed behavior models for multi-agent systems. Dr. Sevil has authored/co-authored more than 45 journal and conference papers, and book chapters, and he has been involved in 10 funded projects as a researcher. Besides working on the funded projects as key personnel, Dr. Sevil also has been the PI and Co-PI of various internal and external projects, sponsored by agencies, including NSF, NASA, ARL, and ONR. His recent work includes resilient and intelligent robotic systems, cooperative multiagent systems, computer vision applications for mobile robots, and advanced guidance and navigation techniques

Degrees & Institutions:

Ph.D. Mechanical Engineering, University of Texas at Arlington
M.S. Mechanical Engineering, Izmir Institute of Technology
B.S. Mechanical Engineering, Izmir Institute of Technology

Research:

Dr. Sevil is interested in studying problems of theoretical and practical effects, and he is eager to examine real world implementations in different domains while aiming to plan techniques that offer solutions to a wide spectrum. His methodological and theoretical research as well as a considerable portion of his applied and collaborative work focuses on fault detection and isolation (FDI) of dynamical systems, condition monitoring, autonomous navigation, obstacle avoidance, and implementation of computational methods. Dr. Sevil is currently working towards further exploring implementation of intelligence systems on a wider spectrum of real world applications especially in fully autonomous, unmanned, self-sustained, resilient and smart systems. All of his methodological and theoretical work is extendable to different engineering practices. His current research primarily focuses on advanced guidance, navigation, and control systems, as well as fault tolerant systems for unmanned vehicles. Dr. Sevil is also interested in developing more sophisticated, advanced and complex systems as a result of the combination of his previous research work.

Current Courses:

  • EEE 6772 Foundations of Intelligent Systems (Fall)
  • EEL 6990 Computer Vision (Fall)
  • EEL 5683 Introduction to Autonomous Systems (Spring)
  • EEE 6990 Aerial Robotics (Spring)

Classes Taught:

  • EGN 6975 Thesis
  • EML 6938 Special Topics in Robotics
  • EEL 5905 Directed Study
  • ISC 8980 Dissertation
  • EEE 6730 Special Topics in Intelligent Systems
  • CAP 6667 Advanced Topics in Intelligent Systems & Robotics
  • EML 4804 Mechatronic Systems
  • EML 4804L Mechatronic Systems Lab

Publications:


Keywords: Robotics, fault detection and isolation (FDI), autonomous navigation, obstacle avoidance, intelligence systems, unmanned vehicles, data-driven detection & estimation, computer vision, multiagent systems, aerial robotics.