Mohammed Elmusrati
Professori, tietoliikennetekniikka
Ankkuri 2. krs
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Brief Biography:
Elmusrati received his B.Sc. (with honors) and M.Sc. (with high honors) degrees in Telecommunication Engineering from the Electrical and Electronic Engineering Department at Benghazi University (formerly Garyounis University), Libya, in 1991 and 1995, respectively. He completed his Licentiate of Science (with distinction) and Doctor of Science degrees in Control Engineering at Aalto University (formerly Helsinki University of Technology), Finland, in 2002 and 2004.
From 1991 to 1999, Elmusrati served as an Assistant Lecturer and Lecturer at the Electrical and Electronic Engineering Department, Garyounis University. Between September 1999 and July 2004, he worked as a Researcher in the Control Engineering Laboratory at Helsinki University of Technology. He then joined the University of Vaasa, Finland, as a Lecturer in the Department of Computer Science from August 2004 to July 2007. Since August 2007, Elmusrati has held the position of Professor and head of the Communication and Systems (ComSys) Engineering Group at the University of Vaasa. Currently, he is a full Professor, leading the Cyber-Physical Systems (CPS) research team and heading the international program on Sustainable Autonomous Systems (SAS) at the University.
Elmusrati is a Senior Member of IEEE, a member of the Society of Industrial and Applied Mathematics (SIAM), and the Automation Society in Finland. He has authored over 185 peer-reviewed papers, books, and technical reports.
Research Interests:
Wireless Communication, 4G; 5G; and Beyond Networks, Uncertainties, Artificial Intelligence and Machine Learning with multidisciplinary applications, Smart Systems, Automation, Digitalization, Stochastic modeling and simulations, Data fusion, Game theory, Biotechnology, and machine learning/game theory applications in medical science.
Teaching Experience:
I have taught over 20 different courses spanning telecommunications, electronics, mathematics, and control engineering. Some of the courses I've taught at the University of Vaasa include Radio Resource Management, Wireless Broadband Communication, Digital Communication, Mobile Networks, Electronic Communication, Wireless Automation, Game Theory, Cognitive Radio, Advanced Signals and Systems, Advanced Telecommunications Theory, and Queuing Theory, among others.
My courses during the academic year 2024/2025 are:
1. ICAT1100 Artificial Intelligence: Concepts, Challenges, and Opportunities (Autumn 2024)
2. ICAT3220 Modern Wireless Communication and Applications(Autumn 2024)
3. ICAT3120 Machine Learning (Spring 2025)
4. ICAT4010 Postgraduate (PhD) seminar
Supervised PhD students:
A. Graduated
1. Dr. Duan Ruifeng, "On performance analysis of cognitive radios", defense date: 12.02.2014
2. Dr. Omar Abu-Ella, "Interference mitigation using group decoding in multiantenna systems", defense ?date: 17.10.2014
3. Dr. Hossien Ahmadzadegan, "Security-centric analysis and performance investigation of IEEE 802.16 WiMAX", defense date: 04.06.2015
4. Dr. Mike Mekkanen "On Reliability and Performance Analyses of IEC 61850 for Digital SAS" defense date: 20 October 2015
5. Dr. Veli-Tapani Peltoketo, "Benchmarking of embedded digital cameras", defense data: 11 August 2016
6. Dr. Heikki Palomäki, "Wireless Distributed Intelligence", defense date: 4 December 2017
7. Dr. Shaima Abdelmageed "E-Health Diagnosis over Low Energy Processors",Defense date: 2 May 2019.
8. Dr. Caner cuhac"Wireless sensor networks with industrial applications", Defense date: 11 November 2019
9.Dr. Alabi Rasheed, "Deep Learning Applications for Diagnosis and Prediction of Cancer", defense date: 15 April 2021
10. Dr. Sayawu Yakubu Diaba, "Artificial intelligence application for Cybersecurity in Smart Grids", Defense date: 13 December 2023
11. Dr. Mahmoud ElSanhuori, "Machine Learning for Indoor positioning", defense date: 3.11. 2024
B. Still doing their reserach work
12. Olli Karvonen, "AI and Machine learning applications in big project management"
13. Xiaotian Bi, "AI and Machine Learning-Based Digital Twin for Internal Consumption in Large Engines"
14. Adel Mohamed, "Reinformcemnt learning based jamming and spoofing mitogation in GNSS"
15. Wassim Kribaa, "AI-based resource management and predictions for Microservices-centric 5G/B5G networks", CoDoc Agreement
16. KADOUMA Abdelhak, "AI-Driven Application Profiling for Optimized Lifecycle Management", CoDoc agreement
17. Joel Reijonen, "Intelligent Cloud Operations in 5G Networks"
18. Wiqar Khan, "Smart Halls Under 5G Networking"
19. Akpojoto Siemuri, "AI and Machine learning applications for GNSS"
20. Benjamin Addo-Mensah, "Optimizing radio resources allocation for D2D Communication under 5G networks"
21. Tewodros Ambow, "Communication & Configuration Performance Impediment Resolution in Smart Grids' Telecontrol Systems"
22. Abdulla Mohamed, Machine learning for resources allocations in IoT with 6G networking"
Supervised Master thesis students:
At University of Vaasa, more than 120 master thesis student have been supervised.
Link to my detailed CV
Link to List of Publication
Link to my LinkedIn