Position: Alumni

Maverick Li is a master’s candidate in Electrical and Computer Engineering, with a concentration in Computer Vision, Machine Learning, and Algorithms. He received his B.S. in Electrical Engineering, with concentration in Control Theory at Penn State University in 2023. His area of study include perception and control for AI-driven systems.

Ildi Alla received his Bachelor’s and Master’s degrees in Electronic Engineering from the Polytechnic University of Tirana, Albania. Additionally, he earned a Master of Science from the University of Technology of Compiègne (UTC) | Sorbonne University Association, France, specializing in Automation and Robotics for Intelligent Systems.

He is currently pursuing a Ph.D. at Inria Centre at the University of Lille, focusing on the detection and localization of cyber attacks in wireless networks. His research interests lie at the intersection of wireless networking, signal processing, machine learning, and data fusion to enhance security against malicious activities. His work includes multi-modal sensor fusion for drone detection and device authentication in multi-node networks via RF fingerprinting.

Daniela is an undergraduate student at Northeastern University. Her research interests lie in wireless networks and machine learning.

Matthew is a second year electrical and computer engineering student currently interested in neural networks, wireless networks, and embedded systems.

Federico Candela obtained his ICT degree from the Mediterranean University of Reggio Calabria, completing an internship and his thesis at STMicroelectronics in July 2020. In November 2020, he obtained professional qualification and has been a registered member of the Reggio Calabria Order of Engineers since January 2021. In the same year, he was awarded a research grant to develop intelligent computer vision systems in collaboration with Co.re.com (Regional Communications Committee) Calabria and Agcom (National Communications Agency). In 2022, he embarked on his Ph.D. focused on Vision AI topics, collaborating with Tecnocampus Mataró near Barcelona, and currently with Northeastern University. Throughout his studies, he also founded a student association and organized activities such as visits to Google London, CERN Geneva, and ESA Amsterdam.

Gabriele Restuccia is a visiting PhD student in ICT at the Roux Institute, hailing from the University of Palermo, Italy. He obtained his Master’s in Engineering in Computer Science from Sapienza University of Rome and collaborated with the Freie University of Berlin on his thesis. Before his current endeavors, he was a Researcher at the National Inter-University Consortium for Telecommunications in Rome and was actively involved in the SPARTA EU H2020 project. His primary research areas encompass IoT, Machine Learning with a keen emphasis on Neural Networks, as well as software development and security network protocols specifically tailored for constrained devices.

Francesca Meneghello is a Research Fellow at the Department of Information Engineering of the University of Padova (Italy). She received her Ph.D. degree in Information Engineering in 2022 from the same university. Her research interests include sensing-assisted algorithms for context- and energy-aware wireless networks, and communication-assisted approaches for remote radio frequency sensing through deep-learning architectures and signal processing. She received the 2022 GTTI Ph.D. award for Ph.D. Theses in the field of Communication Technologies and the Fall 2022 IEEE DataPort Dataset Upload Contest award in the Machine Learning category. She visited the MENTIS laboratory in 2023 with a Fulbright-Schuman visiting scholar fellowship.

Niloofar Bahadori received a B.Sc. in electrical engineering and an M.Sc. (Hons.) in radio frequency (RF) engineering from Isfahan University. She also received a Ph.D. in Electrical Engineering from NCA&T State University. She was a Postdoctoral Research Associate at Northeastern University under the supervision of Dr. Francesco Restuccia. Her research focused on tackling challenges facing next-generation cellular (5G) and Wi-Fi (802.11ax) networks such as millimeter-wave (mmWave) communication, multi-user multi-input-multi-output (MU-MIMO), and Wi-Fi sensing. She developed analytical approaches, and heuristic algorithms, in addition to data-driven and machine learning-based approaches to solving complex wireless optimization problems. She currently is a Wireless System Engineer at Cisco Systems.

Riccardo Rusca got his Bachelor and Master Degree in Computer Engineering at Politecnico di Torino, in Italy. From November 2020 he is a PhD student in the same university under the supervision of Professor Claudio Casetti. His research is focused on crowd monitoring and city sensing techniques supported by next generation mobile networks. Furthermore, he participated on the 6G flagship Hexa-X project, focusing on Federated Learning for IoT devices in Smart Cities context to collaboratively learn optimal resource allocation given traffic demand.

Fabio Busacca received the Ph.D. degree in Information and Communication Technologies from the University of Palermo, Italy, in 2022. He is currently an assistant professor at the University of Catania, Italy. His main research interests are LPWAN protocols for the IoT, with a specific focus on the LoRa protocol, Artificial Intelligence and Game Theory applied to next-generation communication networks, and Underwater Acoustic Communications.