Oakland University

Dr. Nashwan Sebi

Visiting Assistant ProfessorElectrical & Computer Engineering

Automotive Mechatronics Robotics & Autonomous Systems Control

IGVC Co-ChairFaculty Advisor, Oakland Robotics Association
R+ΣCP
Mentorship

Research

Advancing trustworthy intelligent systems with real-world impact.

Teaching

Connecting rigorous theory with simulation, laboratories, and design.

Leadership

Building collaborative teams that drive innovation and student success.

Engineer. Educator. Mentor.

Engineering intelligence with purpose.

Dr. Nashwan J. Sebi is a Visiting Assistant Professor of Electrical and Computer Engineering at Oakland University. His work spans explainable artificial intelligence, autonomous systems, automotive mechatronics, robotics, electric circuits, electronic circuits and devices, embedded systems, electric and hybrid vehicles, and engineering education.

His academic career brings research, hands-on teaching, graduate mentorship, competition leadership, STEM outreach, and industry collaboration into one mission: preparing engineers to create intelligent systems that are transparent, reliable, and useful.

50+Course offerings
7Engineering subject areas
2019–NowProfessional engineering instruction

Research

Trustworthy intelligence for mobility and robotics.

Integrating mathematical modeling, MATLAB/Simulink simulation, machine learning, embedded hardware, and experimental validation.

01

Explainable AI (XAI)

Extracting interpretable mathematical representations from reinforcement-learning agents for trustworthy, safety-critical decisions.

02

Autonomous Systems

Perception, intelligent navigation, ADAS, and decision-making for autonomous vehicles and mobile robots.

03

Intelligent Control

Blending analytical models, data-driven techniques, embedded implementation, and experimental validation.

04

Electrified Mobility

Automotive mechatronics, electric and hybrid drives, real-time control, and industry-connected engineering.

Long-term research vision

To build collaborative research programs and laboratories advancing explainable AI, autonomous vehicles, robotics, and intelligent mobility.

Teaching

Learning becomes powerful when theory meets practice.

Dr. Sebi’s courses unite analytical foundations with original MATLAB/Simulink demonstrations, laboratory experimentation, embedded implementation, robotics platforms, and team-based engineering design.

“Students learn engineering most effectively when analysis, simulation, experimentation, and implementation become one connected experience.”

Courses Taught

Oakland University

2020–Present
  • ECE 2005 Electric Circuits
  • ECE 3100 Electronic Circuits and Devices I
  • ECE 4520 / ECE 5520 Automotive Mechatronics I
  • ECE 4630 / ECE 5630 Electric and Hybrid Drive Systems
  • ECE 6520 Automotive Mechatronics II
  • ECE 4415 / ECE 5415 Microcomputer-Based Control Systems
  • ECE 5970 Independent Study

Eastern Michigan University

2021–2023
  • CEET 373 Autonomous Vehicles — course developed and taught.

Stellantis–Oakland University Propulsion Certificate Program

2019–Present
  • Electrification Fundamentals and Mechatronics professional certificate instruction.
Evidence of Impact

Teaching Effectiveness

Student evaluations consistently reflect strong teaching effectiveness, course organization, responsiveness, and the integration of engineering theory with practical learning.

≈4.77/5.00Average instructor rating
Oakland University
≈4.64/5.00Average course evaluation
Oakland University
5.0/5.0Ratings achieved in
multiple course offerings
≈4.64/5.00Average course evaluation
Eastern Michigan University
Graduate Mentorship

Ph.D. & M.S. Student Development

Serves as a member of multiple Ph.D. dissertation and advisory committees, supporting doctoral students through research development, dissertation review, qualifying examinations, and degree completion. Dr. Sebi also supervises Independent Study courses for Ph.D. and M.S. students in artificial intelligence, robotics, autonomous vehicles, embedded systems, and control.

Leadership & Service

Learning beyond the classroom.

Mentoring students through competition, research, professional development, and public engagement.

Competition Leadership

IGVC Co-Chair

Supporting the International Ground Vehicle Competition and its global community of autonomous-vehicle teams.

Student Leadership

Oakland Robotics Association

Faculty Advisor guiding student teams in autonomous robotics, engineering collaboration, and competition readiness.

Community Engagement

STEM Outreach

Representing Oakland University through high-school robotics events, engineering demonstrations, and recruitment activities.

Graduate Academic Service

Doctoral Committee Service

Contributes to graduate education through service on multiple Ph.D. dissertation and advisory committees, doctoral qualifying examinations, and interdisciplinary research mentorship.

Professional Service · 2021

Conference Peer Reviewer

60th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)

Reviewed the conference paper, “Navigation and Task Planning of a Mobile Robot under ROS Environment: A Case Study Using AutoRace Challenge.”

Professional Affiliations

Membership in Professional Organizations

Professional engagement spanning engineering education, electrical and computer engineering, and the mobility industry.

Member Since 2023

SECS Engineering Institute

Oakland University · Rochester, Michigan, USA

Member Since 2025

American Society for Engineering Education

ASEE

Member Since 2025

Institute of Electrical and Electronics Engineers

IEEE

Member Since 2025

Society of Automotive Engineers

SAE

Recognition

Honors & Awards

Recognition of teaching, mentorship, encouragement, university service, and contributions to experiential engineering education.

2026
Donna and Walt Young Honors College · Oakland University

Inspiration Award

Student-nominated recognition for teaching, mentorship, encouragement, and dedication to student success.

2025
Oakland University

Member, Order of the Golden Plume

Recognition granted following two separate nominations from two students for distinguished contributions and service to the university community.

2019
Oakland University

Intelligent Ground Vehicle Competition Recognition

Recognition associated with contributions to the Intelligent Ground Vehicle Competition.

Scholarship

Publications

Work in explainable AI, reinforcement learning, vehicle perception, collision avoidance, and autonomous systems.

2024Doctoral Dissertation

Extraction of Information from AI Design Decisions—Theoretical and Practical Case Study

Nashwan Jacob Sebi · Oakland University

2024Conference Paper

Rear-end Vehicle Collision Avoidance using Reinforcement Learning

Nashwan Sebi, Narendra Kintali & Ka C. Cheok

2021Conference Paper

Deep Learning-Based Vehicle Direction Detection

Nashwan J. Sebi, Kazuyuki Kobayashi & Ka C. Cheok

2022SICE

A Study of Trot Gait Control System of a Quadruped Robot Using IMU Sensor

Kimihiro Mori et al.

2022SICE

Seamless Rapid Prototyping with Docker Container for Mobile Robot Development

Shunki Shibuya et al.

2021SICE

Development of a Raindrop-aware Environment Detection Algorithm for 3D-LiDAR Based Outdoor Mobile Robot Navigation

Riki Uchida et al.

2021SICE

Development of Intention Indicator Device for a Two-wheeled Mobile Robot

Riku Yamamoto et al.

2023SICE

Development of a Digital Twin Environment for Smart Collision Avoidance Algorithms for Mobile Robots Using Reinforcement Learning

Natsumi Matsumoto et al.

2022SICE

Development of a New Intelligent Mobile Robot Path Planning Algorithm Based on Deep Reinforcement Learning Considering Pedestrian Traffic Rules

Koki Kubota et al.

2021SICE

Development of a New Consistent Color Detection Algorithm Based on Omnidirectional Images Using Reference Color Patches

Koki Kuroki et al.

2025SICE FES

Development of a Machine Learning-Based Pedestrian Traffic Light State Detection System Using Retinex Color Images for Sidewalk Mobile Robots

Hinata Kasai et al.

2025SICE FES

Development of a 3D Point Cloud Measurement System Using a Tiny Multi-Zone Distance Sensor

Yuhei Takamori et al.

2021SICE

Development of a New Waypoint Navigation Algorithm Based on the Combination of Electronic Maps and Aerial Photographs

Yuto Miura et al.

2024SICE FES

3D LiDAR-Based Lane Line Recognition and Obstacle Avoidance for Autonomous Mobile Robot

Takuya Yamakawa et al.

2025SICE FES

Development of RTK-GNSS for Outdoor Mobile Robots Using LoRa Communication

Takuya Yamakawa et al.

2025Conference Publication

Development of a Closed-Road Signboard Detection Algorithm Based on 3D Point Clouds and Their Reflected Intensities for Autonomous Robots

Yutaro Kato et al.

Academic Appointments

Teaching, mentorship, and engineering leadership.

Academic and professional appointments spanning university teaching, graduate mentorship, curriculum development, and industry-connected engineering education.

Aug. 2025–Present

Visiting Assistant Professor

Electrical and Computer Engineering

Oakland University · Rochester, Michigan

  • Teach undergraduate and graduate courses; develop curricula, laboratories, simulations, and project-based learning experiences.
  • Supervise graduate independent studies; serve on doctoral advisory and dissertation committees; mentor senior design and robotics teams.
  • Lead student and professional service as Faculty Advisor of the Oakland Robotics Association and Co-Chair of the Intelligent Ground Vehicle Competition.
Jan. 2023–Jul. 2025

Special Lecturer

Electrical and Computer Engineering

Oakland University

  • Taught courses in circuits, electronics, automotive mechatronics, electric and hybrid drives, and embedded control.
  • Expanded hands-on laboratories and MATLAB/Simulink-based instructional resources while mentoring undergraduate and graduate students.
May 2020–Dec. 2022

Lecturer

Electrical and Computer Engineering

Oakland University

  • Developed project-based course materials, laboratory demonstrations, simulations, and practical engineering projects.
Aug. 2021–Dec. 2023

Lecturer

School of Engineering Technology

Eastern Michigan University

  • Developed and taught CEET 373 Autonomous Vehicles, covering sensing, perception, localization, navigation, robotics, and intelligent transportation.
Oct. 2019–Present

Instructor

SECS Engineering Institute / Propulsion Certificate Program

Stellantis–Oakland University

  • Develop and deliver professional education in electrification fundamentals, automotive mechatronics, embedded systems, and engineering applications for practicing engineers.

Contact

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