Background and activities


PhD Candidate Position in Edge Intelligence:

The PhD candidate will investigate fundamental issues on edge intelligence, with focusing on 1) development of edge intelligence architecture for IoT; 2) develop and optimize lightweight edge devices; and 3) augmented interactions for IoT. Results of this research will lead significant scientific, industry and social impact. The PhD candidate will collaborate with innovative researchers from University of Helsinki and the Hong Kong University of Science and Technology. 

Further details of the opening

PhD Candidate Poition in Socially Aware Artificial Intelligence for Future Transportation (DTU-NTNU Double Degree Program)

The PhD candidate will formulate new mathematical models for explaining and predicting the choices of pedestrians and cyclists during interactions with autonomous transportation technologies by integrating methods from econometrics and cognitive psychology. The PhD candidate will further design, implement and conduct virtual reality experiments to apply the proposed models.

Further details of the opening

Postdoctoral Fellow Position in Metaverse (opening soon)

The position is focused on enabling technologies of metaverse, such as extended reality, user interactions, edge computing, and networking.


Dr. Xiang Su is an associate professor at the Department of Computer Science, Norwegian University of Science and Technology. Prior to NTNU, he was an Academy of Finland postdoc fellow (with ranking No. 1 in all applicants of Computer Science panel) and a senior postdoctoral researcher in Prof. Pan Hui's team at Department of Computer Science, University of Helsinki (birthplace of Linux), Finland. He received Dr. Technology degree from Center of Ubiquitous Computing, University of Oulu, Finland, supervised by Prof. Jukka Riekki.

Dr. Su has been awarded EU, Academy of Finland, and NTNU research funding by leading a series of international and national research projects. His research focuses on Internet of Things, edge intelligence, mixed reality, mobile computing, and context-awareness. Dr. Xiang Su has a solid international career, with working with Prof. Pan Hui at The Hong Kong University of Science and Technology (2019), Prof. Yong Li at Tsinghua University (2018), Prof. Yuhong Li at Beijing University of Posts and Telecommunications (2018), Prof. Anind K. Dey at Carnegie Mellon University (2017), Prof. Christian Prehofer and Prof. Manfred Broy at TU Munich (2017 and 2016), Prof. Juha-Pekka Soininen at VTT Technical Research Centre of Finland (2017), and Prof. Sasu Tarkoma at Helsinki University of Technology (now Aalto University) (2008-2009) as a visiting scholar.

He is a receipt of Jorma Ollia Grant (2016), Tekniikan Edistämissäätiö (2015), Tauno Tönning Research Foundation Scholarship (2015 and 2013), Walter Ahlströmin Foundation Scholarship (2015), University of Oulu Graduate School Travel Grant (2014 and 2013), Finnish Society of Electronics Engineers Grant (2013), HPY Research Foundation Scholarship (2012), and Nokia foundation scholarship (2010). His publications has received best paper awards and recognitions from Percom 2020, Elsevier Computer Communications, and WIMS 2016. He is a member of ACM, IEEE, IRTF, OGC, and W3C.

Current Projects:
• 2019 - 2022    Context-aware and Veracious Big Data Analytics for Industrial IoT (ABIDI), CHIST-ERA, FET programme of EU, Academy of Finland, Co-PI in UOulu (with Röning).
• 2019 - 2021     5G Edge Computing Enhanced Augmented Reality (5GEAR), Academy of Finland ICT 2013 Beyond 5G program, Co-PI in UOulu (with Hui and Ylianttila).

Completed Projects:

• 2020 - 2020    Federated Learning for Internet of Things, Huawei project, Co-PI (with Hui).
• 2019 - 2022    Privacy Preserving Edge Intelligence for Internet of Things Data Streams, Academy of Finland Postdoc fellow, Sole PI.
• 2017 - 2018    Lightweight Stream Reasoning for the Internet of Things Data, Research mobility project of Jorma Ollila grant. PI.
• 2017 - 2020    6Aika: Future operator independent data integration platform (CityIoT), European Union Regional Fund. Work package leader.
• 2016 - 2017    Internet of Things Traffic Modelling and its Influences on Carrier Networks, Huawei HIRP Open Project. Co-PI (with Riekki and Li).
• 2016 - 2019    TU München Living Lab Connected Mobility, Bavarian Ministry of Economic Affairs and Media, Energy and Technology. Guest research scientist.
• 2015 - 2016    Digital Health Revolution, Tekes. Research scientist.
• 2012 - 2016    DIGILE Internet of Things program, Tekes, Work package deliverable leader and research scientist.
• 2009 - 2011    Pervasive Service Computing, Academy of Finland Motive Program. Research scientist.
• 2007 - 2011    Lightweight Service Discovery for Pervasive Ad-hoc Middleware, Personal PhD student position granted by Infotech Oulu Graduate School. PI.
• 2006 - 2009    Knowledge Environment for Interacting ROBOt SWARMs (ROBOSWARM), Sixth Framework Programme for Research and Technological Development of EU(FP6),  Research scientist.
• 2005 - 2007     Context-aware Pervasive Networking (CAPNET) research program, Tekes, Research assistant.
• 2003 - 2005     Web Information Structure Modelling for Automatic Resource Discovery, National Natural Science Foundation of China (60273051), Research assistant.

Selected recent publications:
Su X, Liu X, Motlagh NH, Cao J, Su P, Pellikka P, Liu Y, Petäjä T, Kulmala M, Hui P & Tarkoma S (2021), Intelligent and Scalable Air Quality Monitoring with 5G Edge, IEEE Internet Computing, Vol. 25, Iss. 2, March-April 1 2021, pp 35-44.

Alhilal A, Braud, T, Su X, Asadi LA & Hui P (2021), CAD3: Edge-facilitated Real-time Collaborative Abnormal Driving Distributed Detection, ICDCS 2021.

Li Z, Xiong G, Tian Y, Lv Y, Chen Y, Pan H & Su X (2020), A Multi-Stream Feature Fusion Approach for Traffic Prediction, IEEE Transactions on Intelligent Transportation Systems, October 2020 (Early Access), pp 1-11.

Fan B, Liu X, Su X, Hui P & Niu J (2020), EmgAuth: An EMG-based Smartphone Unlocking System Using Siamese Network, IEEE International Conference on Pervasive Computing and Communications (Percom 2020) Austin, TX, USA, 23-27 March, pp. 1-10.

Lee LH, Lam KY, Li T, Braud T, Su X, Hui P (2019), Quadmetric Optimized Thumb-to-Finger Interaction for Force Assisted One-Handed Text Entry on Mobile Headsets. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Vol. 3, Iss. 3, September 2019.

Su X, Li P, Riekki J, Liu X, Kiljander J, Soininen JP, Prehofer C, Flores H, & Li Y, (2018), Distribution of Semantic Reasoning on the Edge of Internet of Things, IEEE International Conference on Pervasive Computing and Communications (Percom 2018), Athens, Greece. 19-23 March, pp 1-9.

Most publications with citations are avaiable from Google Scholar.

Supervision of PhD students:
• Jacky Cao. PhD thesis of University of Oulu, Supervisor (from 2019).
• Boyu Fan. PhD thesis of University of Helsinki, Mentor (from 2021, Supervisor: Pan Hui).
• Dianlei Xu. PhD thesis of University of Helsinki, Mentor (from 2019, Supervisor:Pan Hui).
• Tong Li. PhD thesis of University of Helsinki and the Hong Kong University of Science and Technology, Mentor (2018-2022, Supervisors: Pan Hui and Sasu Tarkoma) [Now Postdoc at Tsinghua University, China]

Supervision of Postdoc:
• Lik-Hang Lee. University of Oulu. (2019-2020) [Now assistant professor at KAIST, Korea]