M. Ilhan Akbas
- Title
- Associate Professor
- akbasm@erau.edu Email
- Department
- Electrical Engineering and Computer Science Dept
- College
- College of Engineering
Areas of Expertise
Complex Systems; Artificial Intelligence; Machine Learning; Cybersecurity; Modeling & Simulation; Digital Communications and Networking; Validation & Verification
External Links
The views expressed on faculty and external web pages are those of the author and do not necessarily represent those of Embry-Riddle Aeronautical University.
Biography
Dr. M. Ilhan Akbas is an associate professor at the Electrical Engineering and Computer Science Department, director of the Flexible & Intelligent Complex Systems (FICS) Research Group, co-director of WIDE Lab, and a member of the leadership at the Center for Aerospace Resilient Systems (CARS) at Embry-Riddle Aeronautical University (ERAU). He has over 20 years of experience in machine learning, complex systems, modeling and simulation. He received his Ph.D. in Computer Engineering at the University of Central Florida (UCF), where he conducted research at the Artificial Intelligence (AI) Things Laboratory. His background also includes eight years of defense industry and enterprise-level software development experience. His research has secured funding through grants from agencies such as the National Science Foundation, Federal Aviation Administration, U.S. Air Force, Office of Naval Research, as well as industry, which also resulted in more than 30 journal and 80 conference publications in IEEE, ACM and AIAA venues. He is a senior member of IEEE, and a member of ACM, AIAA, SAE, International Alliance for Mobility Testing and Standardization, Complex Systems Society and Cyber Safety Commercial Aviation Team.
Research Areas: Complex Systems; Artificial Intelligence; Machine Learning; Cybersecurity; Modeling & Simulation; Digital Communications and Networking
Research Group Tools/Capabilities:
• Language: Python, Julia, Rust, Java, MATLAB
• Simulation (CPS): AirSim, Gazebo, SUMO, CARLA, LGSim, Scenic, AWSIM, Foretify
• Simulation (Agents/Network): NS-3, SNS-3, OMNet++, AnyLogic, NetLogo, Agents, Gudhi
• Model-Based Systems Engineering: Magicdraw, Capella
• Framework: cFS, Autoware, PolyVerif
• Hardware: Small Scale Autonomous Ground/Air Vehicles, Edge and AI computing platforms (e.g. NVIDIA Jetson Platforms, Raspberry Pi)
Education
- Ph.D. - Doctor of Philosophy in Computer Engineering, University of Central Florida
Currently Teaching
- SYS 417: Systms Eng Capstone Prjct I
Courses Taught
CE 421 / CS 491 / EE 421 / SE 451 / SYS 418 "Senior Design II" 2020 - 2024 (Spring)
EE 620 "Digital Communications" 2020, 2021, 2022, 2023, 2024 (Spring)
CE 420 / CS 490 / EE 420 / SE 450 / SYS 417 "Senior Design I" 2019 - 2024 (Fall)
SE 320 "Software Construction" 2019 - 2024(Fall)
Research Projects
Publications
- The Achilles Heel of AI: Validation & Verification and an Approach to Tackle This Challenge AI Summit (2024)
- Increasing Environmental Responsibility through Innovative Practices Sustainability Conference (2024)
- Real-Time Detection of Sea Turtles Using UAV and Neural Networks on Edge Devices Journal of Aviation/Aerospace Education & Research (2024)
- A Nature-Inspired Approach for Scenario-Based Validation of Autonomous Systems Beyond: Undergraduate Research Journal (2022)
- Testing and Validation Framework for Autonomous Aerial Vehicles Journal of Aviation/Aerospace Education & Research (2021)
- Concurrent Sessions: Session 6A - Urban Air Mobility National Training Aircraft Symposium (NTAS) (2020)
- Validation Framework for Autonomous Aerial Vehicles National Training Aircraft Symposium (NTAS) (2020)
- Real-Time Urban Weather Observations for Urban Air Mobility International Journal of Aviation, Aeronautics, and Aerospace (2020)