Akwasi Adu-Kyere
Doctor of Science in Technology (D.Sc. Tech.)
akadky@utu.fi Office: 442A ORCID identifier: https://orcid.org/0000-0002-4532-7643 |
Quantum Key Distribution and its applications; Internet of Things security; Autonomous Driving Assistance Security; Computers and Network security(pen-testing systems and applications).
Adu-Kyere Akwasi was born in Ghana. He received a Diploma in Computer Engineering from Microtech Computer Institute, Takoradi, Ghana, in 2004, an H.N.D. in electrical and electronics engineering from the Takoradi Technical University, Ghana, in 2007, B.S. degrees in supply chain management and logistics from the Häme University of Applied Sciences (HAMK), Hämeenlinna, Finland, in 2012, M.S. degrees in Network System Security from Turku University, Turku, Finland, in 2016, Certified Ethical Hacker (C.E.H.) Training from the University of Metropolia, Helsinki, Finland, 2018, and is currently a Ph.D. candidate in information and communication technology (DSc-Tech) from the Turku University, Turku, Finland.
In 2009, he was a Supply Chain Management task-related help Intern with the Häme University of Applied Sciences (HAMK). From 2010 to 2012, he was a P.C.B. Production Assistant with the Eleforss Oy, Forssa, Finland. Since 2020, he has been a Project Researcher and a Doctoral Candidate with the Department of Computing, Turku University.
Mr. Akwasi Adu-Kyere is a Center of Internet Security and Supply Chain Brains member interested in cyber-security, quantum key distribution, autonomous system security, Network System Security, cryptography, and Ethical Hacking with Four years of work experience in the Automotive Assembly sector.
- Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability (2023)
- Sensors
(Refereed journal article or data article (A1)) - Development and experimental validation of high performance embedded intelligence and fail-operational urban surround perception solutions of the PRYSTINE project (2022)
- Applied Sciences
(Refereed journal article or data article (A1)) - Quantum Key Distribution: Modeling and Simulation through BB84 Protocol Using Python3 (2022)
- Sensors
(Refereed journal article or data article (A1))