Lin Wang

Ph.D., Assistant Professor

20192019
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Personal profile

Personal information

Lin Wang is a tenure-track Assistant Professor in the Department of Computer Science at VU Amsterdam. He is also affiliated as a project leader at TU Darmstadt, Germany. During Jul 2016 - Nov 2018, he headed the Smart Urban Networks group in the Telecooperation (TK) Lab at TU Darmstadt. Before that, he was a Postdoctoral Research Associate at SnT Luxembourg. He obtained his Ph.D. in Computer Science with distinction from the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). During Sep 2012 - Jan 2014, he visited at IMDEA Networks Institute in Madrid, Spain.

Research

Lin Wang's research is focused on networked systems, where he designs and optimizes computer systems for supporting emerging (mobile) appliations such as augmented reality. Topics include edge computing, in-network processing, novel network protocols, and cloud computing in general.

Teaching

Coordinator and lecturer for course "Advanced Topics in Computer Networks" and guest lecturer for course "Computer Networks".

Ancillary activities

No ancillary activities

Ancillary activities are updated daily

Fingerprint Dive into the research topics where Lin Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Augmented reality Engineering & Materials Science
Cloud computing Engineering & Materials Science
Switches Engineering & Materials Science
Computer systems Engineering & Materials Science
Network protocols Engineering & Materials Science
Processing Engineering & Materials Science
Topology Engineering & Materials Science
Cost functions Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2019 2019

  • 3 Conference contribution
  • 1 Foreword/postscript
  • 1 Paper
  • 1 Article

A learning-based framework for optimizing service migration in mobile edge clouds

Brandherm, F., Wang, L. & Mühlhäuser, M., 25 Mar 2019, EdgeSys 2019 - Proceedings of the 2nd ACM International Workshop on Edge Systems, Analytics and Networking, Part of EuroSys 2019. Association for Computing Machinery, Inc, p. 12-17 6 p.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Reinforcement learning
Costs

An Online Market Mechanism for Edge Emergency Demand Response via Cloudlet Control

Chen, S., Jiao, L., Wang, L. & Liu, F., 1 Apr 2019, INFOCOM 2019 - IEEE Conference on Computer Communications. Institute of Electrical and Electronics Engineers Inc., p. 2566-2574 9 p. 8737574. (IEEE Conference Proceedings).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Cost functions
Quality of service
Energy utilization
Switches
Degradation

Aves: A Framework for Energy-efficient Stream Analytics across Low-power Devices

Bharath Das, R., Makkes, M., Uta, A., Wang, L. & Bal, H., Dec 2019, (Accepted/In press) IEEE Big Data 2019. IEEE Computer Society

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Incentivizing Microservices for Online Resource Sharing in Edge Clouds

Samanta, A., Jiao, L., Mühlhäuser, M. & Wang, L., Jul 2019, (Accepted/In press) p. 1. 10 p.

Research output: Contribution to ConferencePaperAcademic

Message from the workshop chairs

Casari, P., Anta, A. F. & Wang, L., 26 Sep 2019, 2019 28th International Conference on Computer Communication and Networks (ICCCN) - Proceedings. IEEE, 1 p. (Proceedings - International Conference on Computer Communications and Networks, ICCCN).

Research output: Chapter in Book / Report / Conference proceedingForeword/postscriptAcademic