Zhihan Lyu

Universitetslektor vid Institutionen för speldesign

Strandgatan 1b (Residenset)
621 57 VISBY
Uppsala universitet, Campus Gotland
62167 Visby

Kort presentation

I am a Lecturer, an Engineer and a Researcher in Virtual Reality, Digital Twins and Metaverse major in Mathematics and Computer Applied Technology. My research application fields widely range from everyday life to traditional research fields (i.e. Geography and Transportation, Biology and Chemistry, Medicine and Rehabilitation, Industry and Entertainment). During the past years, I have completed several projects successfully on PC, Website, Smartphone and Smartglasses.

Page: http://lvzhihan.com/

Nyckelord: artificial intelligence internet of things human computer interaction blockchain metaverse digital twins serious game virtual reality

I am IEEE Senior Member, British Computer Society Fellow, ACM Distinguished Speaker, Career-long Scientific Influence Rankings of Stanford's Top 2% Scientists, Marie Skłodowska-Curie Fellow, Clarivate Highly Cited Researcher, Elsevier Highly Cited Chinese Researcher. I have contributed 300 papers including more than 90 papers on IEEE/ACM Transactions. I'm Editor-in-Chief of Internet of Things and Cyber-Physical Systems(KeAi), an Associate Editor of ACM Transactions on Multimedia Computing, Communications, and Applications, IEEE Transactions on Intelligent Transportation System, IEEE Transactions on Network and Service Management, IEEE Transaction on Computational Social Systems, IEEE Transactions on Network Science and Engineering, IEEE Consumer Electronics Magazine, IEEE Technology Policy and Ethics Newsletter, Early Career Advisory Board member of IEEE/CAA Journal of Automatica Sinica. I'm General Chair, Co-Chair or TPC of 50 conferences including Area Chair of ACM MM 2021-2022, Technical Program Committee Chair of ACM MM 2023, Program Committee member of ACM IUI 2015-2023. I have reviewed 400 papers. I have received more than 20 awards from China, Europe, IEEE. I have supervised the students to get more than 20 awards. I have given 80 invited talks for universities and companies in Europe and China. I have given 20 keynote talks for International conferences.

Since 2021, I have been an Senior Lecturer/Associate Professor at Uppsala University. From 2017 to 2021, I had been an Associate Professor at Qingdao University in Qingdao of China. From 2012 to 2016, I had held an Adjunct Assistant Professor position at Shenzhen Institutes of Advanced Technology, Chinese Academy of Science in Shenzhen of China. I was granted PhD. degree in Computer Applied Technology from Ocean University of China in Qingdao of China. Before that, I have enjoyed sixteen months full-time research experience at French National Centre for Scientific Research(CNRS)-UPR9080 in Paris of France. After then, I have fulfilled two-year postdoc research experience at Umea University in Umea of Sweden. From 2014 to 2015, I had been a Marie Curie Experienced Researcher in European Union's Seventh Framework Lanpercept, at clinical section Fundación FIVAN in Valencia of Spain. From 2015 to 2017, I had been a Research Associate at Virtual Environments and Computer Graphics(VECG) group at University College London(UCL) in London of UK. From 2018 to 2019, I had been a Postdoctor at Event Lab at University of Barcelona in Barcelona of Spain.

I have contributed to some projects. Recent years I am working on the combination of VR, IoT and AI, that is Digital Twins, and Human-Computer-Human-Interaction, that is Metaverse.


WebVRGIS: Web Virtual Reality Geographic Information System

UnityMol: 3D Molecular Visualization with Unity3D

Touchless Interaction: Real-Time Hands/Feet Dynamic Gesture Interaction on Smart Phone/Smart Glass

Rehametrics: EU FP7 ITN(316748): LanPercept - Language and Perception/Virtual Reality Rehabilitation

Open3D: EPSRC(EP/M013685/1): Open3D: Collaborative Editing for 3D Virtual Worlds

MoTIVE: Horizon 2020 ERC Advanced grant(742989) Moments in Time in Immersive Virtual Environments

Serious Game:

MeetDurian: A Location-Based Games to Improve COVID-19 Hygiene Habits


DecentralizedLearning: Decentralized Collaborative Learning Model based on Blockchain

WaveHeightPrediction: Open Sea and the Offshore Sea Wave Height Prediction Based on LSTM

WaveEnergyPrediction: Prediction Wave Energy by Prediction of Sea Wave Height

UpdatingCAVsModel: Updating Connected and Automated Vehicles (CAVs) Model as the Scanner of Heterogeneous Traffic Flow.

MedicalPrediction: Predicting Disease Using Artificial Intelligence Models


Literature_Data_Visualization_Analysis: The Visual Analysis Tool for Literature Data.

FellowCited: Count which IEEE/ACM Fellows an author's papers are cited by.

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Zhihan Lyu
Senast uppdaterad: 2021-03-09