Oluwafemi Richard Oyeleke
Assistant Professor
Charles V. Schaefer, Jr. School of Engineering and Science
Department of Systems and Enterprises
Education
- PhD (2020) Iowa State University (Computer Science)
- MS (2014) University of Lagos (Computer Science)
- BS (2010) Ladoke Akintola University of Technology (Computer Science)
Research
The overarching goal of my research is to develop cost-effective digital health interventions that will democratize access to healthcare particularly for underserved groups including the aging adults, people with disabilities, minorities etc., and promote the overall well-being of people. Paradigms that are central to my research include: situation awareness, artificial intelligence/machine learning, and internet of things (IoT). More specifically, my research can be categorized into three thematic areas, namely:
Ambient Intelligence: My research in this domain explores the use of artificial intelligence and situation awareness in formulating new model(s) that will enable smart home environments to be more sensitive, responsive, and adapt to user’s need particularly in mitigating risk resulting from execution of complex activities of daily living and effective resource management.
Gerontechnology– My research is this area explore new approaches for creating and/or enhancing technological environments that will ensure an inclusive design and social participation of aging adults for optimized independence in activities of daily living (ADLs) and for improved comfort, safety, and well-being.
Digital Health – My research in this area explore the use of predictive technologies integrated with smart and wearable devices such as smartphones and virtual reality with engaged patients to coordinate care with the primary aim of promoting health, preventing disease, and enhancing clinical decision making.
Ambient Intelligence: My research in this domain explores the use of artificial intelligence and situation awareness in formulating new model(s) that will enable smart home environments to be more sensitive, responsive, and adapt to user’s need particularly in mitigating risk resulting from execution of complex activities of daily living and effective resource management.
Gerontechnology– My research is this area explore new approaches for creating and/or enhancing technological environments that will ensure an inclusive design and social participation of aging adults for optimized independence in activities of daily living (ADLs) and for improved comfort, safety, and well-being.
Digital Health – My research in this area explore the use of predictive technologies integrated with smart and wearable devices such as smartphones and virtual reality with engaged patients to coordinate care with the primary aim of promoting health, preventing disease, and enhancing clinical decision making.
Institutional Service
- Software Engineering Curriculum Committee Member
- Academic Appeals Committee Member
- Computer Science Tenure-Track Search Committee Member
- SSE Assistance for Virtual Admitted Student Day Member
Professional Service
- IEEE Healthcom Technical Program Committee
- Computer Journal Reviewer
- IEEE International Conference on Digital Health (ICDH) Program Committee Member
- IEEE Healthcom Technical Program Committee
- 2021 IEEE International Conference on Digital Health (ICDH) Program Committee Member
- 2021 IEEE SERVICES Program Committee Member
- 2021 IEEE International Conference on Digital Health (ICDH) Session Chair
- IEEE Software Journal Reviewer
- 2020 IEEE SERVICES Program Committee Member
- 2020 IEEE Digital Health as a Service Symposium (DHAASS) Program Committee Member
Professional Societies
- IEEE – Institute of Electrical and Electronics Engineers Member
- IEEE Computer Society Member
- AAAS – American Association for the Advancement of Science Member
- IACSIT – International Association of Computer Science and Information Technology Member
- IAENG – International Association of Engineers Member
Selected Publications
Conference Proceeding
- Parekh, P.; Oyeleke, O. (2024). Evolution of the Beautiful Game: Analytics and Virtual Reality. Washington DC: HCII 2024 / Springer.
- Parekh, P.; Oyeleke, O. (2024). Towards Enhancing Extended Reality for Healthcare Applications with Machine Learning. Kunamoto: Springer.
- Oyeleke, O.; Parekh, P.; DiCuffa, S.; Quinlan, A. (2023). Situation-Aware Framework for Energy Saving in Unattended Activities of Daily Living in Smart Home Environments. Wonju.
- Quinlan, A.; Oyeleke, O. (2023). Design of A Virtual Reality Environment with Error-Less Learning for Rehabilitation of Aging Adults with Stroke in IADLs. Xianyang: 2023 9th International Conference on Virtual Reality (ICVR).
- Oyeleke, O. R.; Sorinolu, B. G. (2022). Towards Explainability in mHealth Application for Mitigation of Forward Head Posture in Smartphone Users. Genoa: IEEE International Conference on E-health Networking, Application & Services.
- Oyeleke, O. R.; Chang, C. K.; Margrett, J. (2020). Situation-Driven Context-Aware Safety Model for Risk Mitigation Using LTL in a Smart Home Environment (pp. 22-24). 2020 IEEE World Congress on Services (SERVICES).
- Yu, C.; Oyeleke, O. R.; Chang, C. K. (2018). Situation Based Energy Management Framework on Mobile Devices. 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC).
- Oyeleke, O. R.; Chang, C. K.; Yu, C. (2018). Situ-centric reinforcement learning for recommendation of tasks in activities of daily living in smart homes. IEEE.
Journal Article
- Oyeleke, O. R.; Chang, C. K.; Margrett, J. (2020). Situation‐centered goal reinforcement of activities of daily living in smart home environments. Expert Systems (1 ed., vol. 37).