Position: Current member

Francesca Meneghello is a Principal Research Scientist at Northeastern University. She received her Ph.D. degree in Information Engineering in 2022 from University of Padova (Italy). 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, the Fall 2022 IEEE DataPort Dataset Upload Contest award in the Machine Learning category, and a Best Paper Award at INFOCOM 2025. She visited the MENTIS laboratory in 2023 on a Fulbright-Schuman visiting scholar fellowship.

Shahriar Rifat received his B.S. degree in Electrical & Electronic Engineering with a concentration on Communication and Signal Processing in 2019. In 2019, he joined Huawei Technologies Co. Ltd. as Core System Engineer where he worked on integration of VoLTE capabilities in 4G core. From 2020 to 2022, he served as a lecturer in the Department of Electrical Engineering in Sonargaon University and Department of Computer Science & Engineering in the University of Information Technology and Sciences while persuing his M.S. degree in Department of Electrical & Electronics Engineering. His master’s thesis was focused on ultrasound image super resolution. He started his Ph.D. in 2022 under the guidance of Professor Francesco Restuccia at Northeastern University, Boston, MA, USA. His Ph.D. research focuses on inference time dynamic Adaptation of Neural Networks in resource-constrained edge computing systems.

Andrew Ashdown is a graduate student at Northeastern University. He holds an A.S. in Engineering Science from Hudson Valley Community College and a B.S. in Electrical Engineering from Stony Brook University. His graduate research is focused primarily on 5G cellular technologies, including TCP congestion control, spectral measurement and analysis studies, etc. and his research interests largely fall in these areas. He is currently in collaboration with the AFRL (Air Force Research Labs) and other researchers from Northeastern, and is pursuing graduate coursework as well on topics such as Edge Computing, THz Communications, and the Internet of Things. He is a recipient of the 2024 NDSEG PhD fellowship by the Department of Defense.

Mohammad Abdi received his B.S. degree from Shiraz University (Pahlavi) in Electrical and Computer Engineering with the highest honors, and his concentration was in Control, Optimization, and Signal Processing. In 2016, he started his M.S. program in Telecommunications Engineering under the supervision of Prof. Abbas Sheikhi and Prof. Mahmoud Farhang, working on the analysis, design, and development of Doppler-shifted interference signal cancellation algorithms using adaptive filters. His master’s thesis investigates novel solutions for dynamic and moving clutter rejection in passive radar systems. He is currently pursuing his Ph.D. under the guidance of Prof. Francesco Restuccia at Northeastern University, Boston, USA. His research interests include Embedded Systems, Wireless Communication Systems, and Artificial Intelligence. His research in the lab focuses on Efficient AI enabling the deployment of ML models to resource-constrained IoT devices.

Tanzil Bin Hassan earned his Bachelor’s degree in Electrical and Electronic Engineering from the Islamic University of Technology, Bangladesh. With a background in the telco industry, he is currently engaged in pursuing his Ph.D. in the ECE department at Northeastern University. His research focuses on Open Radio Access Network and the application of AI/ML in the context of 5G and Beyond.

A. Q. M Sazzad Sayyed received his B.Sc.(Engg.) degree from Bangladesh University of Engineering and Technology, Bangladesh, in 2018. He is pursuing a Ph.D. in electrical engineering with the Institute for Wireless IoT, Northeastern University. He is under direct supervision of Dr. Francesco Restuccia. His research interests include machine learning, dynamic neural network design and embedded deep learning for wireless networks.

Arman has completed his B.Sc. in Electrical Engineering at Amirkabir University of Technology with a research focus in IoT, Embedded Systems, FPGA Developing, AI/ML, Image Processing and Biomedical Signal Processing. His current research interest lies in embedded AI/ML for next-generation mobile systems.

Jack is a Ph.D. Student working on resilient FPGA design for next-generation mobile systems.

Roberta Bucchignani is a PhD student in the Department of Electrical and Computer Engineering at Northeastern University (USA). She received her double MSc in Communications Engineering from both the University of Illinois at Chicago (USA) and Politecnico di Torino (Italy), and her BSc in Electrical Engineering from the latter. Her research interests are in the Physical Layer of Wireless Communications and in ML/AI applications.

Arnav specializes in neuromorphic computing. He earned his Bachelor’s degree in Computer Engineering from the University of Illinois at Urbana-Champaign. His research interests focus on FPGA-based systems and computer architecture.