Dr. Felicia Engmann is a dynamic early researcher with a PhD in Computer Science (December 2020) from the University of Ghana. Her expertise lies in Wireless Sensor Networks (WSNs), particularly in enhancing communication reliability for Environmental Monitoring Applications. With a passion for integrating Machine Learning and AI into WSNs, she explores innovative solutions at the intersection of technology and environmental sciences. As a Senior Lecturer at the Ghana Institute of Management and Public Administration, she imparts her knowledge and guides the next generation of computer scientists.

Her academic journey began with a BSc in Computer Science from Kwame Nkrumah University of Science and Technology (KNUST), where she built a strong foundation in computing and software development. She furthered her expertise with an MSc in Software Engineering from South China University of Technology in Guangzhou, PR China. This international experience enriched her perspective and equipped her with a diverse skill set. During her PhD studies, she was a visiting student at Louisiana State University through the International Student Exchange Program (ISEP) scholarship.

She contributes to the evolving landscape of WSN research while mentoring young students in IT careers. She is the coordinator of the Women in IT and Engineering (WITE), in the Department of Computer Science and Information System. The aim of WITE is to mentor and encourage young ladies in Tech careers.

• Predictive Analytics
• Wireless Sensor Networks and IoT
• Machine Learning
• Computer Science Education

• Energy Harvesting and Optimization in Wireless Sensor Networks
• Machine Learning
• Water Quality and Environmental Monitoring

2023-2026: Simio Academic Edition (Simio LLC) software grant, worth $480000 (USD) to support teaching and research in simulation.

Undergraduate Level Course, School of Technology, GIMPA, Accra, Ghana

• • ICT 701– Computer Systems
  • CSC 404A — Artificial Intelligence
  • CSC 401– Compiler Design
  • SOT 103B/SOT619B — Fundamentals of Programming

• GSOT 302 — Human Computer Interactions
• SOT 104 — Object Oriented Programming I
• SOT 205 — Object Oriented Programming II
• CSC 302A — Systems Modeling and Simulations

Master’s/Postgraduate Diploma Level Course, SOT, GIMPA, Accra, Ghana

• ICT 701B: Computer Systems

Publications

• Abdulai, J. D., Adu-Manu, K. S., Katsriku, F. A., & Engmann, F. (2023). A modified distance-based energy-aware (mDBEA) routing protocol in wireless sensor networks (WSNs). Journal of Ambient Intelligence and Humanized Computing, 14(8), 10195-10217.
• Adu-Manu, K. S., Abdulai, J. D., Engmann, F., Akazue, M., Justice, K. A., Baiden, G. E., & Sarfo-Kantanka, G. (2022). WSN Architectures for Environmental Monitoring Applications. Journal of Sensors, 2022.
• Adu-Manu, K. S., Engmann, F., Sarfo-Kantanka, G., Baiden, G. E., & Dulemordzi, B. A. (2022). WSN Protocols and Security Challenges for Environmental Monitoring Applications: A Survey. Journal of Sensors, 2022.
• Banaseka, F. K., Katsriku, F., Abdulai, J. D., Adu-Manu, K. S., & Engmann, F. N. A. (2021). Signal propagation models in soil medium for the study of wireless underground sensor networks: A review of current trends. Wireless Communications and Mobile Computing, 2021, 1-12.
• Engmann, F., Adu-Manu, K. S., Abdulai, J. D., & Katsriku, F. A. (2021). Network Performance Metrics for Energy Efficient Scheduling in Wireless Sensor Networks (WSNs). Wireless Communications and Mobile Computing, 2021, 1-14.
• Engmann, F., Adu-Manu, K. S., Abdulai, J. D., & Katsriku, F. A. (2021). Applications of prediction approaches in wireless sensor networks. Wireless sensor networks-design, deployment and applications, 1-26.
• Engmann, F., Katsriku, F. A., Abdulai, J. D., & Adu-Manu, K. S. (2020). Reducing the energy budget in WSN using time series models. Wireless Communications and Mobile Computing, 2020.
• Adu-Manu, K. S., Katsriku, F. A., Abdulai, J. D., & Engmann, F. (2020). Smart river monitoring using wireless sensor networks. Wireless Communications and Mobile Computing, 2020, 1-19. 3
• Engmann, F., Katsriku, F. A., Abdulai, J. D., Adu-Manu, K. S., & Banaseka, F. K. (2018). Prolonging the lifetime of wireless sensor networks: a review of current techniques. Wireless Communications and Mobile Computing, 2018.
• Engmann, F., Abdulai, J. D., & Azasoo, J. Q. (2016). Enhancing the reliability of wsn through wireless energy transfer. In Computational Science and Its Applications–ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part I 16 (pp. 610-618). Springer International Publishing.
• Engmann, F., Abdulai, J. D., & Azasoo, J. Q. (2015, June). Improving on the reliability of wireless sensor networks. In 2015 15th International Conference on Computational Science and Its Applications (pp. 87-91). IEEE.
• Azasoo, J. Q., Engmann, F., & Hillah, K. A. (2014, October). Design of RF based multithreaded RFID student attendance management information system. In 2014 IEEE 6th International Conference on Adaptive Science & Technology (ICAST) (pp. 1-5). IEEE.

Office: D-Block, Room 4

E-mail: fapboadu@gimpa.edu.gh