Dr. Raef Aidibi

Dr. Raef Aidibi

Adjunct Professor, College of Engineering, Computer Science


Dr. Raef Aidibi


  • Dr. Aidibi is a Technical Professional in the area of Real-Time Embedded Control Systems Design & Development; Optimal Control of Hybrid Dynamic Systems; Signal Transformation & Processing techniques applied to Intelligent Pattern Recognition & Control; Supervised & Unsupervised Classification and Learning; with Extensive Emphasis on Modeling, Implementation, Simulation, Architecture, Construction, Networking, Debugging, Process, Quality & Standards.
  • A Principal Software Engineer with extensive experience in developing Real-Time Embedded Control Firmware and related algorithms combining over 20 years of industry experience (production intent) reliable projects and academic advancements (research intent) ranging from proof of concept until production.
  • Dr. Aidibi's recent research has been in the area of Learning & Control Software with emphasis on utilizing Hybrid Dynamic Systems, Dynamic Programming and Approximate Dynamic Programming algorithms applications to Intelligent Transportation Systems (ITS). In this research, hybrid dynamic systems with shared interactions and performance between the hybrid states are considered as a multistage decision problem


  • Ph.D. Systems Engineering (ECE), Oakland University, Rochester Hills, MI
  • MS Electrical & Computer Engineering, Oakland University, Rochester Hills, MI
  • MS Computer Science (Embedded Systems), Oakland University, Rochester Hills, MI
  • BS Electrical Engineering, Lawrence Technological University, Southfield, MI

Research Interests

  • Machine Learning and Computational Intelligence (Pattern Recognition & Fuzzy Logic), Deep Learning, and Image Processing
  • Embedded Systems, Real Time Operating Systems, Microcontrollers & Computer Programming utilizing C, C++, JAVA, OOP, Verliog & VHDL, ASM … with applications applied in various domains.
  • Computer Architecture, Computer Networks, Operating Systems,
  • Software Life Cycle, Implementation & Execution, Validation, Release processes & standards

Industry Experience:

  • Lear Corporation, Southfield, MI: Principal Engineer (Technical Specialist): 2009-Present:
    • Electrical Power Management Systems (Electrification): Electric Vehicle Software controlled DC/AC Chargers/Inverters, EVSE Vehicle to Charging Station Communication Protocols covering a wide range of specifications from GreenPHY PLC, GBT-27930 (China), DIN-70121 & ISO-15118 (Europe & USA), SAE-J1772, CHADEMO Standards for Smart Charge Communication, cloud and client applications pertaining to SCC/RCS/OCC, and PnC.
  • Magna Electronics, Holly, MI, Software Engineer:
    • Ultrasonic Rain Sensors, Dual KeyFob based on ZigBee Technologies. Park–Assist module to recognize vehicle’s field of view “regions” and “zones” to incorporate an effective radio display to alert driver of any obstacles in the park zones. 
  • Visteon Corporation, Van Buren township, Dearborn, MI, Software Engineer:
    • Driver Information Systems: Software Developer for Instrument cluster, Cockpit Integrated Display (CID) integrating a central display that is used to communicate with the Audio Control Module (ACM), Electronic Climate Control, and infotainment system modules to vehicle occupants.
  • TRW Automotive, Farmignton Hills, MI, Software Engineer:
    • Active Safety Crash Sensors, GEN IV Airbag Restraint Systems


Teaching Interests

Computer Science and Electrical Engineering courses (courses taught):

  • Data Structures & Algorithms
  • Computational Intelligence Techniques
  • Deep Learning
  • Digital Image Processing & Computer Vision
  • Computer Networking & Computer Networking Lab
  • Computer Architecture & Network Security
  • Microprocessors/Microcontrollers & Microprocessors Lab
  • Embedded Systems & Embedded Systems Lab
  • Real Time Systems
  • Sensors & Actuators
  • Digital Electronics & Digital Electronics Lab
  • Microelectronics & Electronics Lab
  • Digital Control Systems
  • Principles of Electrical Engineering
  • Electric Machines
  • Security & Privacy in Cloud Computing
  • Embedded Systems Directed Study

Academic Workshops:

LTU-WSU BEST and Adjunct Pedagogy Workshop: Workshop is held in partnership with LTU and WSU, with the continued support of the NIH BEST Grant and the State of Michigan's KCP Future Faculty Fellows, main topics covered:

  1.  Writing course objectives, assessment, and a wide range of active and collaborative learning techniques.
  2.  Learning styles, course-based research experiences, flipping the classroom, slide design, and applications in writing-based courses. 
  3.  Effectiveness of active learning, problem-based learning, metacognition, and participant presentations.

 Faculty Canvas (And More) Training Sessions: Workshop focused on features commonly used by faculty. The workshop sessions are:

  1.  Course Building
  2.  Assignments & Grading
  3.  Communication and Collaboration
  4.  Assessment features (analytics, outcomes)

Instructional Design Studio AR/VR Classroom Workshop: 

  1.  Case studies and examples of best practices emerging from instructors all over the world.
  2.  Several examples of how innovative instructors have used AR/VR in their own classrooms and how it can be incorporated into your own classroom in simple, easy-to-access ways. 

Courses taught by Dr. Raef Aidibi

Winter Term 2024

Fall Term 2023

Winter Term 2023

Fall Term 2022

Winter Term 2022

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