Oluwafemi Richard Oyeleke
- PhD (2020) Iowa State University (Computer Science)
- MS (2014) University of Lagos (Computer Science)
- BS (2010) Ladoke Akintola University of Technology (Computer Science)
The overarching goal of my research is to leverage the power of Artificial Intelligence, machine learning, and mobile and IoT devices to develop cost-effective digital interventions that will make health care accessible to the populace and consequently promote their overall well-being. More specifically, my research can be categorized into four thematic research areas, namely:
Ambient Intelligence — Situation awareness, persuasion, reasoning, and human-centric interaction models to support people in their activities of daily living in smart environments
Gerontechnology– My work in this area is focused on creating smart home environments by leveraging artificial intelligence and internet of things (IoT) to ensure an inclusive design for optimized independence and social participation of older adults especially those with declined cognitive abilities, and to ensure their comfort, safety, and well-being.
Digital Health – My work in this area is focused on developing technological interventions for personalized of healthcare, mitigating reciprocal adaptation, reducing disparities in health care, and tools to enhance decision-making in the clinical workflow.
Software Engineering – Requirement engineering for Safety-critical systems.
Richie O. Oyeleke received his Ph.D. in computer science at Iowa State University. He most recently worked in the Software Engineering and Smart Home Laboratory at Iowa State University directed by Professor Carl K. Chang. His research interests span cutting-edge areas in computer science, gerontechnology, and human-centered computing. Prof. Oyeleke's research was spotlighted in the Iowa State University Foundation Forward Journal Fall 2019 titled "Redefining aging in America" ). He is also actively involved in several scientific communities serving as reviewer and/or on the program committee of several conferences notably IEEE World Congress on Services, IEEE Digital Health as a Service Symposium (DHAASS), IEEE International Conference on Digital Health (ICDH), International Conference on Smart Homes and Health Telematics (ICOST), IEEE COMPSAC, and IEEE Software. Prof. Oyeleke is a member of American Association for the Advancement of Science (AAAS).
- SSE Assistance for Virtual Admitted Student Day Member
- 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
- IEEE – Institute of Electrical and Electronics Engineers 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
- 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.
- 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).