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Contact Information

Phone number: +39 080 5963081


Research Topics

Radio Localization in Wireless Networks
Sensing in 5G and Beyond Networks
Adaptive Radar Detection
Channel Estimation and Synchronization
Statistical Signal Processing

Alessio Fascista

Assistant Professor

Polytechnic University of Bari

Alessio Fascista received the Ph.D. degree in Engineering of Complex Systems (summa cum laude) from the University of Salento (Lecce, Italy) in 2019. He is currently a Tenure Track Assistant Professor of Telecommunications at the Department of Electrical and Information Engineering (DEI), Politecnico di Bari. Formerly, he was an Assistant Professor at Università del Salento. He has held a visiting position at the Department of Telecommunications and Systems Engineering of the Universitat Autonoma de Barcelona (UAB, Spain) in 2018, and at the Department of Electrical Engineering of the Chalmers University of Technology (Gothenburg, Sweden) in 2022. His main research interests are in the field of telecommunications with focus on statistical signal processing for detection, estimation, and localization in terrestrial wireless systems. Relevant application fields are wireless networks (including 5G and beyond), radars, and emerging network contexts (including intelligent cyber-physical systems, smart devices, and environmental monitoring systems). He is the recipient of the 2021 IEEE Intelligent Transportation Systems Society (ITSS, Italy Chapter) best Ph.D. dissertation award for the thesis: “Cooperative Positioning based on Array Processing and Information Fusion”, and of the “Francesco Carassa 2022 Award” for the Signal Processing area from the Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT). He is Member of IEEE and serves as an Associate Editor for the IEEE Open Journal of the Communications Society (OJ-COMS). He is a member of the Technical Area Committee in Signal Processing for Multisensor Systems of the European Association for Signal Processing (EURASIP).

Research Topics

Machine Learning
Internet of Drones (IoD)