Dr. Margaret Richardson Ansah is a Lecturer in the Computer Engineering Department at the University of Ghana. She has a strong background in Electrical and Computer Engineering, with research and teaching interests spanning artificial intelligence, cyber-physical systems, and intelligent digital technologies.
She is actively involved in advancing diversity and inclusion in technology, particularly supporting women in engineering and computing. She serves as an Arm Developer Program Ambassador and a Google Women TechMakers Ambassador, where she mentors and empowers young women pursuing careers in STEM.
Her work combines research, innovation, and community engagement to promote the responsible use of technology for sustainable development in emerging economies.
- PhD in Computer Engineering, University of Ghana
- MSc. Communication and Information Engineering
Dr. Ansah’s research focuses on the design and application of intelligent and connected systems for real-world challenges. Her key research areas include:
- Cyber-physical systems and Industrial Internet of Things (IIoT)
- Wireless communications and sensor networks
- Cybersecurity and secure communication systems
- Artificial intelligence and intelligent systems
- Smart and sustainable systems for emerging economies
- Ansah, M. R., Ugo, H. C., Aboagye, I. A., Sowah, N. L., Osei, G., Balapangu, S. S., & Kwofie, S. K. (2024). Artificial Intelligence and Health in Africa: Opportunities, Challenges, and Ethical Considerations. In Examining the Rapid Advance of Digital Technology in Africa (pp. 103–123).
- Misbawu, A., Ansah, M. R., & Nchor, A. S. (2022). Optimal Location for Loss Reduction on a 7-Bus Bar Power Grid System by Capacitor Placement. 2022 IEEE/IET International Utility Conference and Exposition (IUCE), 1–6.
- Ansah, M. R., Akansake, S. N., & Misbawu, A. (2022). Solar Powered Automatic Waste Management System using LoRaWAN. 2022 IEEE/IET International Utility Conference and Exposition (IUCE), 1–4.
- Richardson Ansah, M., Sowah, R. A., Melià-Seguí, J., Katsriku, F. A., Vilajosana, X., & Owusu-Banahene, W. (2020). Characterising foliage influence on LoRaWAN pathloss in a tropical vegetative environment. IET Wireless Sensor Systems, 10(5), 198–207.
- Ansah, M. R., Shu, Y., & Hua, C. Q. (2014). High temperature wireless sensor network monitoring system for coalmine fire. IOSR Journal of Electronics and Communication Engineering.
- Osei, G., Xeflide, D., Agbevanu, S. N., Sowah, R. A., Ansah, M. R., & Aboagye, I. A. (2024). Machine Learning for Crop Yield and Irrigation Energy Cost Prediction: Case Study of Five Tropical Crops. 2024 IEEE International Conference on Adaptive Science and Technology.
- Shankar, S. B., Ansah, M. R., Ameyaw, R., Sam, A. K., Kyei, J. J. A. B., Amo, D., & Okae, P. (2024). Hypertension Detection Using AI and Retinal Image Analysis. 2024 IEEE International Conference on Adaptive Science and Technology.