Amin Komeili, PhD,PEng
PhD- Biomechanical Engineering, University of AlbertaMSc- Mechanical Engineering, Polytechnique of Tehran
BSc- Mechanical Engineering, Ferdowsi University of Mashhad
Areas of Research
My research on joint biomechanics aims to discover physical activities and loading conditions that promote chondrocytes biosynthesis. I use multiscale FE models, from musculoskeletal to cellular scale, to study the underlying mechanism of joint disease developments and joint function.
Wearable biomedical devices, such as knee orthoses, help patients recover joint function. Developing smart biomedical devices could be a solution for real-time monitoring of joint function. With the use of intelligent assistive devices, recording patient performance data would not be a challenge anymore. We develop custom-designed biomedical devices, mainly for knee OA applications, for research purposes as well as guiding clinical treatment.
My research in this area involves the detection of abnormalities in biomedical images. We investigate different organs, however our main focus is knee osteoarthritis (OA). Machine learning methods and image processing techniques are our means for digital diagnosis. We focus on using data mining and machine learning methods to explore the information contained in biomedical images that may help monitor the progression of OA. Moreover, the diagnostic methods developed in our lab could be modified and extended for a variety of applications, including the veterinary clinics and the beef cattle production industry.
Supervising degrees
Working with this supervisor
Who should apply?
Before contacting me, check out my personal website and my research profile webpage for open positions. Include "EUREKA" in the subject of your email to show me that you cared about reading this instruction. In return, I will read your email and carefully assess your CV.
Undergraduate Summer Research Students
- Applicant must be enrolled in a related program (Mechanical/Biomedical/Computer engineering)
- Demonstrated experience in biosensor applications and programming with Python.
Prospective MSc Students
- Minimum undergrad GPA of 3.7/4.0 and higher.
- Demonstrated research experience in tissue FE simulation, human body modelling, machine learning methods, wearable biodevices, and biosensors.
- Experience in training ML models using a deep learning framework such as PyTorch.
Prospective PhD Students
- GPA: Minimum MSc GPA of 3.7/4.0 and higher.
- Publications: at least one published journal paper in a Q1 journal (first-author).
- Strong record of publications with at least one published journal paper in a Q1 journal in the field of tissue biomechanics, disease diagnosis from biomedical images, machine learning, wearable biodevices.
- Demonstrate research skills related to the posted position.
Self-Funded Students & Scholarships
Applicants are encouraged to apply to the funding/scholarship opportunities available at the University of Calgary. Students with a fellowship or funding of their own are accepted/considered regardless of the availability of an open position at any time. Female applicants and those from under-represented groups are greatly encouraged to apply.
Contacting me:
The best way to contact me is by sending me an email to amin.komeili[at]ucalgary.ca. In your email briefly describe your research expertise, number of publications, GPA, university, and what interests you about my research area.
Include "EUREKA!" in the subject of your email to show me that you have cared about reading the above instruction to the end. In return, I will read your email and carefully assess your CV.