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CV

Professor Weisi Guo
Chair of Human Machine Intelligence
Director of Smart Living Grand Challenge
Head of Human Machine Intelligence Group
 

Centre for Autonomous and Cyber-Physical Systems

Cranfield University

College Road, Cranfield

MK43 0AL, UK

024 765 22223
weisi.guo@cranfield.ac.uk

wguo@turing.ac.uk

Education

 

2007 - 2011  PhD in Computer Science

University of Cambridge

  • EPSRC Project EP/E012108/1: Collaborative Communications

 

2011  MA (Cantab)

University of Cambridge

 

2001 - 2005  MEng in Engineering

University of Cambridge

  • General Engineering
    Electrical & Information Specialisation

  • Industrial Placement at Motorola 

  • Final MEng Project: Robotic Vision Navigation with iRobot

 

1999 - 2001 Bedford School

 

 

Experience

 

2019 -  Chair of Human Machine Intelligence

Cranfield University, UK

  • Director of Grand Challenge: Smart Living (2020-23)

  • Head of Human Machine Intelligence Group


2017 - 2019 Associate Professor

School of Engineering

University of Warwick, UK

  • Turing Fellow at Alan Turing Institute

  • Head of DEN Lab, Honorary Professor (2019-22)

  • Exchange Prof. at New York University (CUSP)

  • Warwick Institute for Science of Cities (EPSRC CDT)

​

2012 - 2017 Assistant Professor

School of Engineering

University of Warwick, UK

​

2010 - 2012 Research Associate

Department of Electronic & Electrical Engineering

University of Sheffield, UK

  • EPSRC Project EP/G064105/1

  • At EPSRC KTA for NEC Europe 2012

  • At Swansea University (2010-11) 

​

2005 - 2007 2G & 3G Radio Engineer

T-Mobile International, UK

 

 

Awards

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International Awards:

  • Bell Labs Prize
    Finalist (2014),
    Semi-Finalist (2016, 2019)

  • IET Innovation Award
    Winner (2015)

  • IEEE - Best Paper (2014)

  • IEEE - Exemplary Reviewer (2018)

  • IEEE - Best Student Project (Silver 2015)

​

Faculty Awards:

  • Merit Pay (2012, 2016, 2017, 2018)

  • Best Undergraduate 3rd Year Lecturer (2016)

​
 

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Grant Summary

 

  • PI on £7.2m to host 
    Funders: EPSRC, H2020, InnovateUK, Royal Society, Royal Academy of Engineering, DSTL, Lloyd's Register Foundation, Alan Turing Institute, DfT, USAF

  • Investigator on £26m of externally funded grants

  • Supervisor: 45+ PDRA years, 24+ funded PhD years

​

 

Publication Summary

 

  • 146 Journal Papers
    Q10/Q1 - 75; Q1/Q2 - 129; IEEE/ACM - 90, IET - 10, RS - 4, NPG - 8
    1st /corresponding author - 54
    Impact factor (JCR): total - 882, mean - 6.0
    3 featured / cover articles, 1 to    p 10% cited, 1 most downloaded
    2 IEEE re    commended reading, 1 IEEE Prize nomination,
    1 Nature commentary: Retool AI to Forecast and Limit Wars

  • 103 Conference Proceedings
    IEEE/ACM/AIAA - 99, Flagship IEEE - 42, Flagship AI - 2

  • 4 Book Chapters
     

  • Citations (Google Scholar): 6200+, h-index 39, i10-index 134

     

Teaching Experience

 

  • Leadership & Management
    HEA - Fellow
    Course director of successful Applied AI MSc (2021-22) (30-40 students, FT/PT)
    External examiner to Exeter University Computer Science (2018-23) (UG/PG)
    Module leader (6 modules to date)
    PhD Examiner

  • Recognition
    Best lecturer in school of engineering - 2015
    Invited lecturer (paid): NYU - Abu Dhabi (2014)

     

Professional Activities

 

  • Grant Reviewer
    UKRI: EPSRC (Full Peer-Review College), ESRC, MRC, Future Leader Fellowships
    NSF, NSERC, H2020, Royal Society, Leverhulme, DAAD, Fulbright
    Top 6% reviews in EPSRC (2020-21)

  • Editorships
    Royal Society Open Science (2019-)
    IEEE Open Journal of Comm. Society (2019-)
    IEEE Trans. Molecular Bio. & Multi-Scale Comm. (2019-)
    IEEE Access (2018-22)
    IEEE JSAC MBMC Series (Guest: 2014-15)

  • Conference Chair
    IEEE ICC 2020 - Big Data Track 
    IEEE ICC 2019, IEEE CIT 2015, IEEE WCNC 2013, IEEE VTC 2010

  • Conference TPC
    IEEE Globecom (2012, 2017-20), IEEE ICC (2017-20)
    AAAI (2020), IEEE Big Data (2013), IEEE VTC (2012)

  • Journal Reviewer 
    NPG: Nature, Nature Communication, Nature Machine Intelligence
    IEEE: JSAC, TWC, TCOM, TVT, CM, WC, CL, WCL, TMBMC, TNBS

  • Standardisation
    IEEE P1906.1 - Nanoscale and Molecular Comm. Framework 
    ISO/IEC AWI TS 12792  - Transparency taxonomy of AI systems

  • Higher Education & Training Activities
    External Examiner for UG and PG courses (Exeter, 2019-22)
    External Examiner for PhD (Sheffield)
    Skill Workshop Organiser (Alan Turing Institute: Microsoft Azure)
     

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