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Dr Weisi Guo

Associate Professor, SMIEEE, MIET, FHEA

turingHead of Data Embedded Networks (DEN) Lab
University of Cambridge: MEng, MA, PhD


Alan Turing Institute - Turing Fellow & Group LeaderNYU_new
New York University (NYU) - CUSP
Co-Lead for Research Theme on Cities
Warwick Institute for Science of Cities

A419, School of Engineering,DEN_Lab1
University of Warwick,
West Midlands, CV4 7AL
weisi.guo [AT]
wguo [AT]
Phone: 024 765 22223

Office Hours for Summer Term: Thur & Fri (2-3pm)
[Google Scholar] [ResearchGate] [WRAP]


guo2Weisi Guo is an Associate Professor in Information and Networks, and a Turing Fellow. He heads the Data-Embedded-Networks (DEN) Lab, where he is PI on over £1.2M of research funding. Guo received his M.Eng in General Engineering, and Ph.D. in Computer Science from the University of Cambridge in 2011. He has authored more than 100 peer-reviewed papers and works with a variety of commercial, government, and standardization bodies to expand the impact of his research.

In 2012, Guo joined the University of Warwick’s School of Engineering as an assistant professor, where he continued his research into efficient capacity scaling for 4G/5G networks, as well as prototyping the world’s first molecular communication system (with A. Eckford at York & N. Farsad at Stanford) [Link] (Bell Labs Prize F'14, IET Innovation Award'15). In 2016, Guo developed a network theory to quantify the spatial ecology of conflicts [Link] (Bell Labs Prize SF'16), and he now continues this work with Sir A. Wilson at Turing and DSTL.

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.

Data-Embedded-Networks (DEN) Lab
Research Background

cpI head the DEN Lab with 4 Research Fellows and 10 PhD Students, which is part of the Connected Systems Group (CSG). I am part of the global alliance for urban science (CUSP), EPSRC Doctoral Training Centre in urban science (WISC), and a Turing Fellow and Data-Centric Engineering Group Leader at the UK government's Alan Turing Institute. 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 associated key outputs are:

  • [Interaction Networks in Urban Science]: topological resilience, coupled human and natural systems, urban conflict prediction;
    "The Spatial Ecology of War and Peace," 2017 [preprint]
  • [Internet of Nano-Things]: molecular communication system design, hostile environment testing, bio-inspired signal processing, biomedical applications;
    "Tabletop Molecular Communication: Text Messages Through Chemical Signals," PLOS ONE, 2013 [Link][Media][Top 10% Cited Paper]
  • [Data-Driven 4G/5G Mobile Networks]: self-organisation, machine learning, HetNet, D2D, stochastic geometry;
    "Dynamic Cell Expansion with Self-Organizing Cooperation," IEEE J. on Sel. Areas in Comm. (JSAC), 2013
    "Estimating Mobile Traffic Demand using Twitter," IEEE Wireless Comm. Letters, 2015

Anyone interested in collaboration or degree opportunities, please visit my research page here.

Current Team
  • Research Fellows (4): vacancy (ODIN), vacancy (CHANCE), vacancy (GUARD), X. Lu*
  • PhD Students (10): N. Gupta, G. Mosquera, J. Gilchrist, A. Alturki, A. Pamuncak, M. Liatsikou,
    vacancy (MolSig), L. Zha [QMUL], Y. Yang* [HIT], vancancy [York] (NanoTag),

Active Projects
  • "ODIN - Online Data Integrated Network," PI, InnovateUK (2017-20) [Link]
  • "CHANCE - Coupled Human And Natural Critical Ecosystems," PI, Alan Turing Inst. LRF Program (2017-20) [Link]
  • "GUARD - Global Urban Analytics for Resilient Defence," PI, Alan Turing Inst. D&S Program (2017-19) [Link]
  • "DAWN4IoE - Data Aware Wireless Networks for Internet of Everything," PI, H2020 (2017-21)
  • "Nature Inspired Routing for Resilient Networked Systems", PI, EPSRC ENCORE+ (2017-18)
  • "MolSig - Molecular Signaling in Complex Environments," PI, US Air Force (2017-21) [Link]
  • "Towards Invisible Nanoscale Chemical Tagging," Co-I, Lloyd's Register Foundation (2017-20) [Link]
  • "SmallTalk - Talking between Small Things," PI, Royal Society & NSFC (2016-18) [Link]

Sticky News:

CN[3 PDRA Openings]: Looking for PDRAs in: network science (x2) and social media analytics (x1), for 2-3 years [advert-1][advert-2][advert-3].


[1 Funded Nano-Comm. PhD Opening]: Looking for a motivated PhD student for molecular communication [advert].

WISC[Funded Smart City PhD Openings]: Looking for PhD applicants to EPSRC Doctoral Training Centre [Link].

Recent News:

July 10 [Journal] Google Trends can Improve Surveillance of Type 2 Diabetes, Nature Scientific Reports [Link].

July 05 [Grant] Data Aware Wireless Networks for Internet-of-Everything, PI, H2020 project funded (2017-21).

July 03 [Journal] "SMIET: Simultaneous Molecular Information and Energy Transfer" accepted to IEEE Wireless Communications.

June 17 [Preprint] Urban Analytics: Multiplexed and Dynamic Community Networks, preprint on arXiv [Link].

May 30 [Preprint] Predicting Terrorist Attacks in Cities: Intensity, Frequency, and Uncertainty, working paper [Link].

May 28 [Journal] Transposition Errors in Diffusion-Based Mobile Molecular Communication, IEEE Communications Letters [Link].