Dr. A.Y. (Aaron) Ding


Aaron Ding is a Tenure-Track Assistant Professor in the Dept. Engineering Systems and Services at TU Delft and an Adjunct Professor (Dosentti) in Computer Science at University of Helsinki. He has over 12 years of R&D experience across EU, UK and USA. Prior to TU Delft, he has worked at TU Munich with Jörg Ott, at Columbia University with Henning Schulzrinne, at University of Cambridge with Jon Crowcroft. He obtained his MSc and PhD both with distinction from the Department of Computer Science (Birthplace of Linux) at University of Helsinki. Funded by Nokia Foundation, part of his PhD programme was carried out at University of Cambridge and at Columbia University in New York. His PhD is supervised by Prof. Sasu Tarkoma and Prof. Jon Crowcroft (Cambridge).

Aaron is the founder of ACM EdgeSys - the successful series have been gathering substantial community contributions especially with high quality programme committee, panel, keynotes and technical papers from North America, Europe, and Asia, including Google, Amazon, Apple, Microsoft Research, Facebook, Intel, IBM, Nokia, Samsung, Siemens, Toyota, Telefónica, MIT, Berkeley, Princeton, Columbia, Yale, UCLA, Toronto, Cambridge, Oxford, Imperial, EPFL, MPI, TUM, Aachen, Tsinghua, Peking and Fudan. To drive new research agenda in the Edge AI domain, he is co-hosting the internationally renowned Dagstuhl Seminar on “Key Enablers in Edge Computing for AI” in 2021.

Being active in ACM, IEEE and IETF, Aaron is an Associate Editor for IEEE Open Journal of Intelligent Transportation Systems (OJ-ITS) responsible for areas of mobile edge computing and 5G for smart vehicles. He is currently the Chair of Finance for ACM MobiSys 2020, Co-Chair of Travel Grant for ACM MobiCom 2020 and Co-Chair for IEEE INFOCOM EINSTEIN 2020. Besides co-chaired IEEE INFOCOM HotPOST and ACM MobiSys PhD workshops, he has served on the Board of IEEE ComSoc Young Professionals, on the Executive Committee of IEEE Finland, and on the IETF NomCom responsible for nominating and selecting IETF leadership for Internet standardization. He is also the co-founder of FCN, a joint initiative to promote active collaborations between top European and Asian research institutes, including Cambridge, Delft, Helsinki, Leuven, London, Munich, Oslo, Stockholm, Vienna, EPFL, MPI, IMDEA, HKUST, Tsinghua, Peking, Fudan, and Chinese Academy of Science (CAS).

At TU Delft, Aaron serves on the Executive Committee of Power Web Institute, and on the University Works Council "Research & Education Committee". Since 2018, he is the ICT Master Graduation Coordinator for TBM.


Aaron is currently leading the Cyber-Physical Intelligence (CPI) Lab in the Department of Engineering Systems and Services (ESS) at TU Delft. His research at CPI Lab focuses on edge AI solutions for cyber-physical systems in smart mobility and energy domains. Through interdisciplinary and multidisciplinary research across science, engineering and design disciplines, he has been developing system solutions for the emerging large-scale IoT deployment, smart vehicles, augmented/virtual reality (AR/VR) and analytic services. Different from cloud-centric approach, his work investigates how to harness and consolidate the power of distributed computing resources that are deployed at the network edge to reinforce cyber-physical systems in terms of performance, resilience, security, energy efficiency, and quality of experience for users.

Aaron has been leading and involved in many international projects (H2020, EIT, German DAAD and Tekes Finland) in tight collaboration with industrial companies such as Nokia, Ericsson, Intel, Deutsche Telekom, T-Mobile, Telia, Elisa, NEC and F-Secure. For his contributions to mobile and edge computing, he is awarded the Best Paper of ACM EdgeSys, ACM SIGCOMM Best of CCR, and PhD fellowships from the Academy of Finland and University of Helsinki. He is a two-time recipient of the esteemed Nokia Foundation Scholarships.

For new publications and project updates, please check his homepage at TU Delft.

Aaron Yi Ding

Assistant Professor

Engineering Systems and Services

Information and Communication Technology

Jo-Ann Karna

Research interests:
Edge Computing 
Edge AI
IoT Architecture
Data Analytics