Simone Grimaldi received the B.E. and M.Sc. degrees in Telecommunication Engineering from the University of L’Aquila, L’Aquila, Italy. He is currently pursuing a Ph.D. degree with the Department of Information Systems and Technology, Mid Sweden University. In 2015, he was an M.Sc. thesis worker with ABB Corporate Research, Västerås, Sweden. In 2016 he received a research grant from Ericsson Research Foundation and in 2016 and 2017 he was a visiting student at the Computer Science and Engineering Department of University of Connecticut (UCONN). His current research interests are reliable wireless communication for time-critical applications in harsh environments and coexistence of wireless technologies.
Area of interest
Wireless Communication, Wireless Sensor and Actuator Networks, Wireless Coexistence, Machine Learning, Signal Processing.
Teaching and tutoring
Teaching assistant duties in the courses of Machine-to-machine Communication, Random Processes and Simulation and Performance Analysis of Communication Systems.
Articles in journals
Grimaldi, S. , Mahmood, A. & Gidlund, M. (2019). Real-time Interference Identification via Supervised Learning : Embedding Coexistence Awareness in IoT Devices. IEEE Access, vol. 7, pp. 835-850.
Grimaldi, S. , Mahmood, A. & Gidlund, M. (2017). An SVM-Based Method for Classification of External Interference in Industrial Wireless Sensor and Actuator Networks. Journal of Sensor and Actuator Network, vol. 6: 2
Grimaldi, S. , Gidlund, M. , Lennvall, T. & Barac, F. (2016). Detecting Communication Blackout in Industrial Wireless Sensor Networks. In IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS.