ATTN: Nicola Bui, 202WVH
360 Huntington Avenue
Boston, MA 02115
- PhD in Telematics, Carlos III University of Madrid – Spain
- MS in Telematics, Carlos III University of Madrid – Spain
Nicola Bui received his Master’s of Science and PhD degrees in Telematics from Carlos III University of Madrid, Spain in 2014 and 2017, respectively. He is a Senior Research Scientist at Northeastern University in Boston. His current research focuses on 5G mobile networks and anticipatory networking. In particular, his work combines practical tools to monitor and measure the performance of mobile networks and theoretical studies for their optimization and modeling. Prior to joining Northeastern, Bui worked as a Research Engineer at IMDEA Networks Institute in Madrid, Spain where he led the integration and assessment within the European project eCOUSIN. In 2015 Bui was a visiting researcher at Nokia Bell Labs in Stuttgart. From 2006 to 2013, he was the CEO at Patavina Technologies, a spin-off of the University of Padova in Italy, developing embedded systems. At the same time, he collaborated with Consorzio Ferrara in Ricerche, Italy and with the Department of Information Engineering at the University of Padova in Italy. During this time, he contributed to many European and Italian projects such as e-SENSE, SENSEI, IoT-A, WISEWAI and SWAP, which covered different aspects of the Internet of Things, from basic sensor network communication to Internet integration and self-sustainable networks. Bui authored more than 50 conference and journal papers.
- Hometown: Ferrara, Italy
Field of Research/Teaching
- Mobile Networks
- Wireless Communications
What is your educational background?
My main educational background is on communication networks. It ranges from protocol modelling, design and optimization to software and hardware design tailored to different applications. In addition, the practical aspects of my research often merge with theoretical approaches to identify optimal solutions.
What is your research focus?
My research career started with wireless sensor networks and, later on, with the Internet of Things. Back then the main goal has been coping with the limitedness of sensor devices. Those constraints ranged from limited power availability (e.g., devices powered with batteries and/or energy harvesters) to limited on-board resources (e.g., memory, CPU) and limited communication (e.g., range, data rate). This environment taught me to strive for the best by using the least. In 2013, I widened my focus to include mobile wireless networks, but the main research paradigm remained the same as I have been working on network optimization ever since. The common denominator of the overall path has always been mixing theoretical studies, practical validation and measurement studies.