CV

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Education

M.Sc. in Computer Scence, Georgia Institute of Technology
M.Sc. in Biomedical Engineering, University of Saskatchewan, 2022-2023
B.Eng. in Mechatronics Engineering, Federal University of Agriculture, Abeokuta, 2014-2019

Work experience

2023-present: Lead Software Engineer
- Roamlii Adventure Agency
2024: CTO
- ForesAIt Medical inc
2023: Graduate Teaching Assistant
- Mechanical Engineering, University of Saskatchewan
- Duties included: Teaching “Introduction to Mechatronics” laboratory
2022: Graduate Assistant
- Psychology and Health Studies, University of Saskatchewan
2021-2022: Teaching Assistant
- Mechanical Engineering, Osun State University
2019-2021: Robotics Software Engineer
- Phoenix Robots Ng

Research interests

Artificial Intelligence
Biosystems
Human-Computer Interaction
Medical devices
Robotics
Control Systems
Rehabilitation

Publications

A Novel Embryo Morphology Evaluation Based on Improved YOLOv8 Object Detection Model

Talha, O., Zhou, W., Xu, Y., Liu, Q., Odeyemi, J. (2024). A Novel Embryo Morphology Evaluation Based on Improved YOLOv8 Object Detection Model. In: Gu, J., Hu, F., Zhou, H., Fei, Z., Yang, E. (eds) Robotics and Autonomous Systems and Engineering Applications of Computational Intelligence. LSMS ICSEE 2024 2024. Communications in Computer and Information Science, vol 2220. Springer, Singapore. https://doi.org/10.1007/978-981-96-0313-8_15

On Automated Object Grasping for Intelligent Prosthetic Hands Using Machine Learning

Odeyemi, J.; Ogbeyemi, A.; Wong, K.; Zhang, W. On Automated Object Grasping for Intelligent Prosthetic Hands Using Machine Learning. Bioengineering 2024, 11, 108. https://doi.org/10.3390/bioengineering11020108.

Exploring the potential of computer vision and machine learning in enhancing the functionality of an EMG-controlled prosthetic hand

Odeyemi, J. (2023). Exploring the potential of computer vision and machine learning in enhancing the functionality of an EMG-controlled prosthetic hand. Masters thesis, University of Saskatchewan.

A human factor approach to distribution network design for e-commerce in supply chain system: a case study

Ogbeyemi, A., Odeyemi, J., Igenewari, O., & Ogbeyemi, A. (2023). A human factor approach to distribution network design for e-commerce in supply chain system: a case study. Enterprise Information Systems, 17(12). https://doi.org/10.1080/17517575.2023.2200767.

Deep machine learning for Sensing, Analysis, and Interpretation in IoT Healthcare

O.J. Odeyemi, S.O. Owoeye, K.I. Adenuga and C.B. Emele. (2022). Deep machine learning for Sensing, Analysis, and Interpretation in IoT Healthcare. Reinvention of health applications with IoT: 1-16.

Deep data analysis for COVID-19 outbreak

O.J. Odeyemi, S.O. Owoeye, K.I. Adenuga and C.B. Emele. (2022). Deep machine learning for Sensing, Analysis, and Interpretation in IoT Healthcare. Reinvention of health applications with IoT: 1-16.

Teaching

Introduction to Mechatronics - Laboratory

Service and leadership

2022-present: Volunteer, Let’s talk science
2022: Volunteer, Saskatoon Cancer Centre
2022-2023: Software Developer, Med.Hack(+) Workshop

Awards and Honors

2023: BIOE SSF Devolved Scholarship - $10,000
2022-2023: Brian Dale Goodchild Award in Engineering - $8,500
2021: First Class Honor, Federal University of Agriculture, Abeokuta
2016-2019: Agbami Special Medical and Engineering Professionals Scholarship Award Scheme - 400,000 NGN

Professional Memberships

2024-present: Engineer in Training, Association of Professional Engineers and Geoscientists of Saskatchewan
2023-present: NSERC CREATE UnLimited - Advisor
2021-present: Graduate Member, Nigeria Society of Engineers

Jethro Odeyemi

CV