University of Cambridge: MEng, MA, PhD
A419, School of Engineering,
University of Warwick,
West Midlands, CV4 7AL
weisi.guo [AT] warwick.ac.uk
Phone: +44 (0)24 765 22223
Office Hours for Fall Term: Mon (3-5pm) Fri (10am-12pm)
Weisi graduated from the University of Cambridge with MEng, MA, PhD (2011) degrees. His research expertise is in Information (signals, data, communications) and Networks (heterogeneous, dynamic, resilience). The multi-scale application areas range from connected interacting cities to telecommunication networks to the Internet of Nano Things. He is currently a visiting ass. prof. at New York University, core member of EPSRC DTC - WISC, and joint-coordinator of the Cities research theme.
During the last decade, Weisi has spent a number of years working in and with industry. He has published over 80 peer reviewed papers (41 journal papers) and has 740+ citations (h-index 13). His research has won him a number of awards and nominations (IEEE, Bell Labs, IET) and he has received funding from Royal Society, British Council, US Air Force, and the ATI. He is known for his discoveries in complex network modeling of international stability (preprint [arXiv]) and molecular communications (media coverage [Economist][Wired][CNet]).
In his private life, his interests are: travelling, photography, philanthropy, philosophy, and sports. His life experiences include working in UNHCR refugee camps in Africa, part of the victorious Cambridge Varsity archery team (2002), solo climbed two of the highest sub-continent peaks, and served as badminton captains at both the University of Cambridge and Sheffield. He has also completed both the full London (2007) and Sahara (2010) 42km marathons.
I am generally interested in the physical laws which govern multi-scale (macro to nano) communication and interaction networks, and it's intersection with cities and social physics. I am part of the core team in an alliance of smart city research universities worldwide: (NYU, Warwick, Toronto, CMU, Mumbai, KCL).
To that end, I am actively involved in developing appropirate data collection and spatial network modeling methods for cities, as well as designing novel communication systems for extreme and hostile environments.
My current research areas are as follows:
- [Large-Scale Network Modeling]: dynamic heterogeneous networks, stochastic spatial processes, complex network theory, resilience to attacks, network energy-cost-spectral efficiency;
- [Nano-Scale Communications]: test-bed system design, hostile wireless environment testing, low complexity signal processing, biomedical applications;
- [Mobile Sensing & Big Data]: smart city intelligence, social media analytics, smartphone sensing;
- PhD Students (5): Hu Yuan, Song Qiu, Neha Gupta, Guillem Mosquera, John Gilchrist
- Project Students (4): Harry Wang, Uzair Hayat, Sandy Tang, Issac Johnson
- "MolSig: Molecular Signaling in Complex Environments," US Air Force (2017-21) [Link]
- "Resilient Networks," ATI & LRF (2017-19)
- "SmallTalk: Talking between Small Things," Royal Society and NSFC (2016-18) [Link]
- "High Speed Rail Sensing and Communications," Warwick RDF (2016-17)
- "Mobile Sensing Sunlight Exposure in Cities," Warwick Alumni Donation & WMG (2014-16, 2016-2020)
[Award News]: Finalist of Bell Labs Prize 2014 and Semi-Finalist of Bell Labs Prize 2016
[Award News]: PhD Students win IEEE ComSoc 2014 Award - 2nd Prize ($1000 at GLOBECOM)
[Award News]: Winner of IET Innovation Award 2015 - Communications Category on: Molecular Communication Systems for Harsh Environments
[PhD Opening]: Looking for a new PhD student with physics/maths background to conduct research in molecular signalling networks. Fully funded at UK/EU rates [Link].
Nov 27 [Journal]: Molecular fading channel due to diffusivity fluctuations accepted to IEEE Communications Letters.
Nov 01 [Journal]: Energy harvesting in molecular channels accepted to IEEE Communications Letters.
Oct 28 [PhD]: Congratulations to Hu Yuan for passing his PhD viva: "Interference aware routing algorithms for D2D communications".
Oct 24 [Grant]: Molecular Signalling in Complex Environments (2017-2021) - US Air Force.
Sep 29 [Grant]: Resilient Networks (2017-19) - ATI & LRF.