Head of Data Embedded Networks (DEN) Lab
Alan Turing Institute - Turing Fellow & Group Leader
University of Cambridge: MEng, MA, PhD
New York University (NYU) - CUSP
Co-Lead for Research Theme on Cities
Warwick Institute for Science of Cities
A419, School of Engineering,
University of Warwick,
West Midlands, CV4 7AL
weisi.guo [AT] warwick.ac.uk
wguo [AT] turing.ac.uk
Phone: 024 765 22223
Weisi Guo is an Associate Professor in Information and Networks, and a Turing Fellow. He heads the Data-Embedded-Networks (DEN) Lab, and is PI on over £1.3M of research funding as PI. 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. He is a Senior Member of IEEE, Member of IET, and Fellow of Higher Education Academy.
In 2012, Guo joined the University of Warwick as an assistant professor, where he continued his research into efficient capacity scaling for 4G/5G networks, and now focuses on data-driven network design and optimisation. In 2013, Guo was part of the team that prototyped 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 [Link].
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
I head the DEN Lab with 4 Research Associates and 7 PhD Students between Warwick and the Alan Turing Institute. I am part of the global alliance for urban science (CUSP), and EPSRC Doctoral Training Centre in Urban Science (WISC). To that end, I am actively involved in developing appropirate data collection and complex network modeling methods for cities, critical infrasturctures, as well as designing novel communication networks for hostile environments.
My current 3 research areas and representative outputs are:
1) Resilience in Complex Networks: functional-topological stability/resilience, coupled human and natural systems, community detection, conflict prediction;
- "The Spatial Ecology of War and Peace," arXiv, 2017 [preprint]
- "Global Network Centrality of University Rankings," Royal Society Open Science, 2017
- "Tabletop Molecular Communication: Text Messages Through Chemical Signals," PLOS ONE, 2013 [Link][Media][Top 10% Cited Paper]
- "Analyzing Large-Scale Multiuser Molecular Communication via 3D Stochastic Geometry," IEEE Trans. MBMC, 2017 [ArXiv] [Link]
- "Local Convexity Inspired Low-complexity Noncoherent Signal Detector for Molecular Communications," IEEE Trans. on Com., 2016 [Link]
- "Learning-based Spectrum Sharing and Spatial Reuse in mm-Wave Ultra Dense Networks," IEEE Trans. Veh. Tech., 2017 [Link]
- "Estimating Mobile Traffic Demand using Twitter," IEEE Wireless Com. Letters, 2015 [Link]
- "Dynamic Cell Expansion with Self-Organizing Cooperation," IEEE J. on Sel. Areas in Com. (JSAC), 2013 [Link]
- Research Associates (4): vacancy, vacancy, G. Aquino, I. Atthanayake,
- Honorary Fellow (1): X. Lu
- PhD Students (7): N. Gupta, G. Mosquera, J. Gilchrist, A. Alturki, A. Pamuncak, M. Liatsikou, M. Abbaszadeh
- External PhD Students (2): L. Zha [QMUL], vancancy [York]
Selected Active Projects
Total grant value as PI to host: £1.3M
- EU H2020 (RISE): DAWN4IoE - Data Aware Wireless Network for IoE, PI & Co-Coordinator, 2017-21, €270k
- InnovateUK (KTP Ranplan): ODIN - Online Data Integrated Network, PI, Link, 2017-2020, £198k
- DSTL (Turing): GUARD - Global Urban Analytics for Resilient Defence, PI, Link, 2017-19, £250k
- DSTL (Accelerator): Molecolar Communications for Electromagnetic-Denied Environments, PI, 2017-18, £90k
- EPSRC (ENCORE+): Nature Inspired Routing for Resilient Networked Systems, PI, Link, 2017-18, £9.6k
- LRF (Turing): CHANCE - Coupled Human And Natural Critical Ecosystems, PI, Link, 2017-20, £290k
- USAF: MolSig - Molecular Signalling in Complex Environments, PI, Link, 2017-21, $166k
[PhD Scholarships]: I am open to enquiries regarding 3 possibilities for the 2018/19 cycle: (1) EPSRC Doctoral Training Centre [Link], (2) Chancellor's scholarship [Link], and (3) the CSC scholarship [Link].
Sep 07 [Journal] Global Centrality of University Rankings, accepted to Royal Society Open Science [Dryad Data].
Aug 31 [Journal] Analyzing Molecular Communications with 3D Stochastic Geometry, accepted to IEEE Transactions on Molecular, Biological and Multiscale Communications [Link]
Aug 16 [Job] Looking for a Data Scientist in Machine Learning for NLP to work as KTP Associate employed with Warwick and based at Ranplan in Cambridge [Link]
Aug 15 [Journal] Bacterial Relay for Energy Efficient Molecular Communications accepted to IEEE Transactions on NanoBioscience [Link]
Aug 08 [Job] Looking for Exceptional Research Fellow in Complex Networks and Stability [Link]
Aug 08 [Journal] Learning-based Spectrum Sharing and Spatial Reuse in mm-Wave Ultra Dense Networks, accepted to IEEE Transactions on Vehicular Technology [Link]
July 25 [Conference] Non-Linear Signal Detection for Molecular Communications, accepted to IEEE Globecom.
July 25 [Grant] Communications for EM-Denied Environments, PI, DSTL project awarded (2017-18).
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 & Co-Coordinator, H2020 project awarded (2017-21).