Mahdis Bisheban

Dr. Mahdis Bisheban

Ph.D., P.Eng.
Pronouns: she, her


Assistant Professor

Schulich School of Engineering, Department of Mechanical and Manufacturing Engineering

Contact information

Web presence

Phone number

Office: 403.220.4449


Office: MEB403

For media enquiries, contact

Joe McFarland
Media Relations and Communications Specialist

Cell: +1.403.671.2710

Preferred method of communication

Appointment by email

I'm looking for...

Research partners


Educational Background

Postdoctoral Fellow, Mechanical Engineering, Queen's University, 2020,

PhD, Mechanical and Aerospace Engineering (Robotics, Control, and Mechatronics), George Washington University, 2018,


Dr. Mahdis Bisheban has held the position of Assistant Professor in the Department of Mechanical and Manufacturing Engineering at the University of Calgary since July 2021. Additionally, she takes on the role of directing the Intelligent and Dynamics Control Lab at the University of Calgary.

In addition to her academic responsibilities, Dr. Bisheban is an active Technical Committee Member of the American Institute of Aeronautics and Astronautics (AIAA) Vertical and Short Takeoff and Landing Aircraft Systems (V/STOL) group. She also contributes to the Canadian Society for Mechanical Engineering (CSME) as a member of the Mechatronics, Robotics, and Controls committee. She extends her involvement to professional associations such as the Institute of Electrical and Electronics Engineers (IEEE), particularly IEEE Women in Engineering, IEEE Aerospace and Electronic Systems Society, and IEEE Control Systems Society.

Before her current roles, she gained experience as a Research Associate at the Aerospace Research Center, National Research Council Canada (NRC), and as a Postdoctoral Fellow in the Department of Mechanical and Materials Engineering at Queen's University.

If you have any questions or are interested in collaboration, don't hesitate to contact Dr. Bisheban.


Areas of Research

Control and Modelling of Dynamical Systems, including Aircraft, Uncrewed Aerial and Underwater Vehicles

System identification, modelling, estimation, and control using diverse methods including traditional, data-driven (machine learning), and geometric methods on manifolds.

Application of Machine Learning on Control and Modelling of Dynamical Systems
Predictive Maintenance and Anomaly Detection in Manufacturing

Participation in university strategic initiatives


Course number Course title Semester
ENME 562 Mechatronics Design Laboratory II- undergraduate level Winter 2022, 2023
ENME 662 Mechatronics Design Laboratory II- graduate level Winter 2022, 2023
ENME 561 Mechatronics Design Laboratory I- undergraduate level Fall 2022, 2023
ENME 661 Mechatronics Design Laboratory I- graduate level Fall 2022, 2023
ENME 643 Optimal and Adaptive Control- graduate level Fall 2023


More Information

We are recruiting!

We have currently multiple openings for undergraduate, MSc and Ph.D. students, and postdoctoral scholars. Highly motivated students and graduates are encouraged to apply.

For full consideration, please submit your applications via email to Dr. Mahdis Bisheban ( All applications must include: 

  • Cover letter including relevant research experience and statement of research interest,
  • Sample of relevant publications (if any),
  • English exam results (for international applicants),
  • Current CV; 
  • (unofficial or official) copies of diplomas/university certificates and transcripts; and 
  • Names and contact information of at least two (2) referees with knowledge of your research and academic experience to support your application