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Dr Weisi Guo


Assistant Professor

cusp.pngnyuMIEEE, MIET, FHEA
University of Cambridge: MEng, MA, PhD

Alan Turing Institute Faculty Fellow [DCE Group Leader]
Co-Lead in Engineering's Research Theme on Cities 
Warwick Institute for Science of Cities (WISC)WISC
New York University's CUSP

A419, School of Engineering,
University of Warwick,
West Midlands, CV4 7AL
weisi.guo [AT] warwick.ac.uk
wguo [AT] turing.ac.uk
Phone: +44 (0)24 765 22223

Office Hours for Spring Term: Mon & Tue (2-3pm) Wed (11am-12pm)

[Google Scholar] [ResearchGate] [WRAP]


Brief Bio

guo2Weisi 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 an ambitious early-career academic - published over 90 peer reviewed papers (42 journal papers) and has 900+ citations (h-index 15). His research has won him a number of awards & nominations (IEEE, Bell Labs, IET) and he has received funding from the Royal Society, British Council, US Air Force, and the ATI/LRF.

In his private life, his experiences include working in UNHCR refugee camps in Africa, being part of the victorious Cambridge Varsity archery team (2002), solo climbed two of the highest sub-continent peaks, and served as badminton captains at Cambridge and Sheffield. He has also completed the full London (2007) and full Sahara (2010) marathons.


Research Overview

cpI am generally interested in the physical laws which govern multi-scale communication and interaction networks, and the research intersection with urban science 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 networks for extreme and hostile environments.

My current research areas and key research outputs are as follows:

  • [Multi-Scale Network Modeling]: dynamic heterogeneous networks, spatial processes to spatial networks, topological resilience, self-organisation, network scalability;
    "The Spatial Ecology of War and Peace," under revision in Nature, 2017 [arXiv preprint]
  • [Molecular Communication Networks]: test-bed system design, hostile environment testing, low complexity signal processing, biomedical applications;
    "Tabletop Molecular Communication: Text Messages Through Chemical Signals," PLOS ONE, 2013 [Link][Media]
  • [Mobile Sensing & Big Data]: social media analytics, smartphone sensing, data-driven engineering;
    "Estimating Mobile Traffic Demand using Twitter," IEEE Wireless Comm. Letters, 2015 [Link]

Anyone interested in collaboration or degree opportunities, please visit my research page here. My current research team details are here.

Current Team
  • Research Assistant (1): Song Qiu
  • Visiting Research Fellow (1): Xueke Lu
  • PhD Students (3): Neha Gupta, Guillem Mosquera, John Gilchrist
  • Graduated PhD (1): Hu Yuan
  • MSc Students (2): Jiaxin Li, Najeeb Kabawa

Active Projects
  • "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, 2016-20)

Sticky News:

cell_network

[PhD Opening]: Looking for a new PhD student with physics/maths background to conduct research in molecular signalling networks under the MolSig project. Fully funded at UK/EU rates for 3.5 years [Link].


Recent News:

Jan 16 [Preprint]: The Spatial Ecology of War and Peace available on arXiv [Link].

Jan 11 [Preprint]: Transposition Errors in Diffusion Signal Channels available on arXiv [Link].