Nelson Campus Closed
Nelson Campus
Wednesday 12 August 2026
12:30pm
Visiting Research Professor - Bo Li
NMIT is excited to welcome visiting professor Bo Li to our Nelson campus on Friday 14 August to present his research.
Professor Li will share his research insights with us - NMIT learners, kaimahi, industry partners and peers.
All welcome:
Please come along and share with your network, within and outside NMIT.
- Friday 14 August
- 12-1pm
- NMIT Whakatū | Nelson Campus
- A Block (Room A211)
About Professor Li:
Bo Li is a professor in the School of Electronics and Electrical Engineering, Ningxia University, China(external link).
In 2012, he received his Ph.D. degree in Information and Communication Engineering from Beijing University of Posts and Telecommunications (BUPT).
He conducted postdoctoral research at EEC, the University of Florida, from 2015 to 2017.
Dr Li serves on the review boards for several international conferences and journals and has also served as the Chair of IEEE ICCT and ICCC.
His research interests include:
- B5G/6G
- Space-Air-Ground Integrated Network Architecture
- Network Function Virtualization and Software Definition
- Green Communication and Energy Efficiency
- the integration of communication and energy networks, and
- resource management for future communication systems.
Energy and Radio resource Modeling and Optimization
for Air-Ground Integrated Network with Dual Power Supply:
The integration power supply of renewable energy and traditional grid for air-ground integrated network is the main direction for the green and sustainable development of future information service networks. It is an important research topic on the utilisation of renewable energy.
This research topic has always received strong attention and support from academia, industry, and government. Not only does it play an important role in promoting energy efficiency management and achieving the dual carbon goals of future 6G networks, but it also has better development for the utilisation and control of renewable energy.
Prospective research in the following areas includes:
- radio resource management for air-ground integrated network,
- coupling and coordination technology between energy-side and communication-side,
- UAV power supply technology
- optimization algorithm design with deep reinforcement learning.
