Logo Institute for Networked Cyber-Physical Systems
Institute for Networked Cyber-Physical Systems
Logo Institute for Networked Cyber-Physical Systems
Institute for Networked Cyber-Physical Systems
EN
Search
EN
Search
NCPS > Team

Activities & Awards

Awards

  • Best Professor Award 2024 by the Computer Science Student Union (Fachschaft) of Kiel University
  • Best Paper Award at IEEE DCOSS 2024
  • Second Place for the Professor Award 2022 by the Computer Science Student Union (Fachschaft)
  • Best paper nomination at EWSN 2022
  • Best paper nomination at IEEE LCN 2022
  • Best paper nomination at IEEE DAC 2022
  • Best paper award at IEEE DCOSS 2022
  • Coronawristband Project nominated for the Eco Award 2020
  • Best Professor Award 2019 by the Computer Science Student Union (Fachschaft) of Kiel University
  • Best Paper Award at EWSN 2019
  • Two best paper nominations at EWSN 2019
  • 4th place at the EWSN 2018 dependability competition
  • Shortlisted for the Pedagogical Prize of the Chalmers IT student union 2017
  • SSF Future Research Leader 2017
  • 3rd place at the Chalmers M2R Pitch Competition, 2017
  • 3rd place at the EWSN 2017 dependability competition
  • Shortlisted for the Pedagogical Prize of the Chalmers IT student union 2016
  • 3rd place at the EWSN 2016 dependability competition
  • Chalmers Pedagogical Prize 2014
  • Best Paper Award at ACM SenSys 2013
  • Best newcomer team at CarloCup 2013 to our students
  • Best Poster Award at ACM SenSys 2012
  • Fulbright and Direct Exchange Scholar to the US 2002 - 2004

Event (Co-)Organization & Representation

  • Co-organiizer of 1st European Mobile Systems Winter School: “Hands-on AI and Mobile Systems: Research and Practice”, Como, Italy, 2025, with Luca Mottola as school director. 
  • TPC co-chair of EWSN 2024, together with Christine Julien (University of Texas, Austin) and Rui Tan (NTU Singapore)
  • Co-Chair of 5th KuVS Fachgespräch "Machine Learning & Networking" with Andreas Blenk and Michael Seufert, 2023
  • Co-Chair of 3rd KuVS Fachgespräch "Machine Learning & Networking" with Andreas Blenk, Holger Karl, Stefan Schneider and Michael Seufert, 2022
  • Co-Chair (with Frank Kargl, Amr Rizk) KUVS Summer School "AI in networking", 2022
  • Poster and demo co-chair (with Jorge Ortiz) for International Conference on Embedded Wireless Systems and Networks (EWSN) 2021
  • Workshops co-chair (with Andreas Kassler) for Conference on Networked Systems (NetSys) 2021
  • General co-chair (with Klara Nahrstedt) for the ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI) 2019
  • TPC co-chair (with Klara Nahrstedt) for the ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI) 2018
  • IDEA League Doctoral School on “Intermittently Powered Devices”, 2017, co-organized by TU Delft, ETH Zurich, RWTH Aachen, Polimi and Chalmers
  • Swedish delegate to the Science and Technology in Society (STS) Forum, Kyoto, Japan, 2017
  • Poster and Demo Co-Chair (with Luca Mottola) for the International Conference on Embedded Wireless Systems and Networks (EWSN) 2016
  • IEEE / ACM Cyber-Physical Systems Week 2010 (HSCC, ICCPS, IPSN, LCTES, and RTAS), Stockholm, Sweden (Local Support for Poster and Demo Sessions)
  • IEEE International Conference on Peer-to-Peer Computing 2008, Aachen, Germany (Local Support for Conference Organization)
  • GI/ITG KuVS Fachgespräch “Wireless Sensor Networks” 2007, Aachen, Germany (Local Support for Conference Organization)

TPC-Membership and Reviews

  • Associate Editor
    • Senior Associate Editor: ACM Transactions on the Internet of Things (TIOT) from 2024 onwards
    • Associate Editor: ACM Transactions on the Internet of Things (TIOT) from 2021 to 2024 
  • TPC / reviewer: 
    • 2025: ACM SenSys 2025, ACM MobiSys 2025, EWSN 2025, ICDCS 2025
    • 2024: ACM SenSys 2024, IEEE/ACM IPSN 2024, IEEE DCOSS-IOT 2024, ICDCS 2024, NeurIPS 2024
    • 2023: ACM SenSys 2023, EWSN 2023, DCOSS-IOT 2023, EdgeSys 2023, NITRE 2023 
    • 2022: ACM SenSys 2022, DAC 2022, IEEE EWSN 2022, IEEE LCN 2022, IEEE DCOSS 2022
    • 2021: ACM SenSys 2021, EWSN 2021, IEEE LCN 2021, IEEE SECON 2021, DAC 2021, IEEE ICBC 2021, IEEE DCOSS 2021
    • 2020: ACM SenSys 2020, EWSN 2020, DAC 2020, IEEE ICDCS 2020, IEEE DCOSS 2020, IEEE SECON 2020 
    • 2019: ACM SenSys 2019, EWSN 2019, IEEE DCOSS 2019, Informatik 2019, AlgoSensors 2019
    • 2018: ACM/IEEE IoTDI 2018, IEEE ICDCS 2018, IEEE DCOSS 2018, ARCS 2018
    • 2017: ACM SenSys 2017, IEEE MASS 2017, ICCCN 2017, IEEE DCOSS 2017, IEEE SenseApp 2017, ARCS 2017, SNCNW 2017
    • 2016: EWSN MadCom 2016, ACM/IEEE IPSN 2016 (Poster and Demos), IEEE MASS 2016, IEEE DCOSS 2016, ARCS 2016, IEEE SenseApp 2016, SNCNW 2016
    • 2015: IEEE ICDCS 2015, IEEE DCOSS 2015, ARCS 2015, IEEE MASS 2015, IEEE SenseApp 2015, IEEE IoT-SoS 2015, Algosensors 2015, Mobiquitous 2015 (Posters/Demos)
    • 2014: IEEE PerCom 2014, IEEE DCOSS 2014, IEEE SenseApp 2014, IEEE IoT-SoS 2014, ARCS 2014, SNCNW 2014, IEEE ISSNIP 2014, IEEE CCNC 2014
    • 2013: IEEE DCOSS 2013, SNCNW 2013, ARCS 2013
    • 2012: IEEE CPSCom 2012, SNCNW 2012, IEEE ICCNC 2012, ARCS 2012
    • 2011: IEEE DCOSS 2011, IEEE CCNC 2011, OMNeT++ 2011
    • 2010: IEEE DCOSS 2010
    • 2009: OMNeT++ 2009
  • Journals: 
    • ACM Transactions on Sensor Networks
    • IEEE Transactions on Networking
    • IEEE Transactions on Mobile Computing
    • IEEE Transactions on Wireless Communications
    • IEEE Transactions on Parallel and Distributed Systems
    • IEEE Sensors
    • IEEE Transactions on Industrial Informatics
    • Nature Communications Earth & Environment.
    • and some more

Invited Scientific Talks

  • "Embedded AI", guest lecture in "Advanced Topics In Smart City Technology", invited by Luca Mottola, Politecnico di Milano, 2025
  • "Efficient & Adaptive Neural Networks on the Edge and Beyond", invited by Olga Saukh, TU Graz, Austria, 2024
  • "SOURCED – Process Mining on Distributed Event Sources", Presentation of DFG Research Unit SOURCED (FOR 5495) at GI Joint Meeting of GI BS & KuVS, Stuttgart University, 2024
  • "Towards Efficient and Flexible Training and Inference on the Edge", Keynote at the Forum on Embedded AI, D3A conference, Nyborg, Denmark, 2024
  • "From Wireless Sensor Networks to Artificial Intelligence of Things", keynote at FGSN at Osnabrück University, Germany 2024
  • Project Fjord 5G (Förde 5G), Vodafone Research Center Dresden and TU Dresden, 2024
  • MiniLearn: On-Device Learning for Low-Power IoT Devices, Efficient Machine Learning - Reading Group, invited by Olga Saukh, TU Graz, 2023
  • From IoT Networking to Embedded Machine Learning on the Edge, Keynote at the workshop Edge AI, IoT and Networking (FCN 2023), invited by Aaron Ding, Helsinki, 2023
  • Artificial Intelligence and Internet of Things, Summer School of the SFB 1261 "Biomagnetic Sensing", invited by SFB 1261, 2021
  • Network-wide Consensus and Low-Latency Communication in Low-power Wireless Networks, Uni Hamburg, invited by Mathias Fischer, 2019
  • Network-wide Consensus in Low-power Wireless Networks, RWTH Aachen University, invited by Klaus Wehrle, 2017
  • Network-wide Consensus in Low-power Wireless Networks, Università della Svizzera italiana (USI), invited by Silvia Santini, 2017
  • Network-wide Consensus in Low-power Wireless Networks, ETH Zürich, invited by Roger Wattenhofer, 2017
  • Chaos: Versatile and Efficient All-to-All Data Sharing and In-Network Processing at Scale, CAU Kiel, invited by Thomas Wilke, 2016
  • Low Power, Low Delay: Opportunistic Routing meets Duty Cycling, RWTH Aachen University, invited by Klaus Wehrle, 2016
  • Chaos: Versatile and Efficient All-to-All Data Sharing and In-Network Processing at Scale, ETH Zurich, invited by Lothar Thiele, 2015
  • Chaos: Versatile and Efficient All-to-All Data Sharing and In-Network Processing at Scale, TU Delft, invited by Marco Zuniga and Koen Langendoen, 2015
  • Low Power, Low Delay: Opportunistic Routing meets Duty Cycling, TU Graz, invited by Kay Römer, 2015
  • Chaos - Efficient All-to-All Data Sharing and In-Network Processing in Large-Scale Low-Power Wireless Networks, TU Graz, invited by Kay Römer, 2015
  • Chaos - Efficient All-to-All Data Sharing and In-Network Processing in Large-Scale Low-Power Wireless Networks, ABB, invited by Tomas Lennvall, 2014
  • Chaos - Efficient All-to-All Data Sharing and In-Network Processing in Large-Scale Low-Power Wireless Networks, RWTH Aachen University, invited by Klaus Wehrle, 2014
  • Energy Efficiency and Energy Models, 3rd Cloud-Control Workshop of the VR Cloud-Control Project, invited by Erik Elmroth (Umeå University), 2014
  • Capture at Scale: Ultra-fast Wireless All-to-all Communication, TU Darmstadt, invited by Silvia Santini and Ralf Steinmetz, 2013
  • Capture at Scale: Ultra-fast Wireless All-to-all Communication, Swedish Institute of Computer Science (SICS), invited by Thiemo Voigt, 2013
  • Low Power, Low Delay: Opportunistic Routing meets Duty Cycling, Uppsala University, invited by Per Gunningberg, 2012
  • Exploiting Link Dynamics, Stanford, Stanford Information Networking Group (SING), Philip Levis, 2011
  • Core: A P2P-based Connectionless Onion Router, Dagstuhl Workshop on Peer-to-Peer Systems and Applications, 2006
  • AEON: Accurate Prediction of Power Consumption in Sensor Nodes, UCLA, Compilers Group, invited by Jens Palsberg, 2004

External Opponent / Evaluator

External opponent and referee for PhD defenses.

  • Cao Nguyen Khoa Nam, A Holistic Approach to Low-cost Airborne Pollen Sensing
  • Elisabeth Schiessler, "From feature selection to neural architecture search: Development and implementation of AI-based algorithms to enhance AI-driven research", TUHH & Helmholtz Hereon, group of Roland Aydin, September 2024
  • Swen Leugner, "Kontextsensitivität und Reflexe in Funknetzen - Zur Erhöhung der Robustheit und Koexistenz“, Uni Lübeck, group of Horst Hellbrück & Stefan Fischer, July 2024
  • Keyarash Ghiasi, "Passive visible light communications", group of Koen Langendoen / Marco Zuniga, TU Delft, Netherlands, June 2024
  • Seydehfaezeh Hosseininoorbin, "Deep Learning at the Edge: Exploring in-situ classification in IoT", supervised by Marius Portmann and Siamak Layeghy, Queensland University, Australia, June 2023
  • Duc-Lam Nguyen, "Blockchain for Internet of Things: Data Markets, Learning, and Sustainability", group of Petar Popovski, Aalborg University, Denmark, June 2022.
  • Peilin Zhang, "Improving End-to-end Quality of Service in Low-power Wireless Sensor Networks", group of Oliver Theel, Oldenburg University, Germany, September 2020
  • Pietro Danzi, "Communication Architectures for Reliable and Trusted Wireless Systems in Smart Grids", group of Petar Popovski, Aalborg University, Denmark, June 2019.
  • Mobashir Mohammad, “Dependable Low-Power Wireless Sensor Networks”, group of Chan Mun Choon, National University of Singapore (NUS), Singapore, October 2017
  • Michael König, “Adding more PHY to the MAC: Exploiting Physical Layer Effects in Wireless Networks”, group of Roger Wattenhofer, ETH Zürich, Switzerland, July 2017
  • Timofei Istomin, “Harmonizing Actuation and Data Collection in Low-power and Lossy Networks: From Standard Compliance to Rethinking the Stack”, group of Gian Pietro Picco, University of Trento, Italy, May 2017
  • Marco Cattani, “Opportunistic Communication in Extreme Wireless Sensor Networks”, group of Koen Langendoen / Marco Zuniga, TU Delft, Netherlands, September 2016

Internal PhD Committee

PhD committee work

  • Chairman of the PhD defense: Stefan Patrick Reinhold, "Property Estimation of Thin Cortical Bone from Clinical QCT: An Analysis by Synthesis Approach - Going beyond Nyquist", Computer Science, Kiel University, September 2024
  • Chairman of the PhD defense: Jürgen-Martin Goller, "A Measurement Framework for the Assessment of Self-Adaptation and Self-Organisation in Systems with Decentralised Configurations", Computer Science, Kiel University, February 2024
  • Examiner in the PhD defense: Alexander Schulz-Rosengarten, "Language Design for Reactive Systems", Computer Science, Kiel University, November 2023
  • Examiner in the PhD defense: Maximilian Hünemörder, "Advances in Unsupervised Learning and Applications: Background knowledge-driven subspace clustering, semantic password guessing and learned index structures", Computer Science, Kiel University, June 2023
  • Examiner in the PhD defense: Rebekka Koch, "Application of Machine Learning in Optical Communications", Electrical Engineering, Kiel University, January 2023
  • Examiner in the PhD defense: Lukas Galke, "Representation Learning for Texts and Graphs", Computer Science, Kiel University, August 2022
  • Examiner in the PhD defense: Alexander Keck, "Beobachterentwurf für ein Schienenfahrzeug mit Einzelradfahrwerken", Electrical Engineering, Kiel University, June 2022
  • Chairman of the PhD defense: Johannes Brünger, "Visual detection and tracking of pigs", Computer Science, Kiel University, May 2022
  • Chairman of the PhD defense: André Sandmann, "Optical Space Division Multiplexing in Short Reach Multi-Mode Fiber Systems", Electrical Engineering, Kiel University, February 2022
  • Chairman of the PhD defense: Yannic Kropp, "Ein Ansatz für sichtenorientiertes Datenmanagement", Computer Science, Kiel University, May 2020
  • Examiner in the PhD defense: Gilbert J. M. Forkel, "Binäre Superpositionsmodulation beschränkter Sequenzen und ihre Anwendung in der optischen Unterwasserkommunikation", Electrical Engineering, Kiel University, January 2020
  • Chairman of the PhD defense: Thomas Stuht, "Vereinigung von detaillierten Teilmodellen in einer flexiblen Enterprise Architecture zur übergreifenden Analyse – Ableitung des Bedarfs an Handlungen für einen durch Kennzahlen beschriebenen Untersuchungskontext", Computer Science, Kiel University, July 2019
  • Chairman of the PhD defense: Vasco Grossmann, "Mean Reversion-orientiertes Swing Trading", Computer Science, Kiel University, November 2018
  • Chairman of the PhD defense: Iosif Salem, “Shared Resources in Distributed Systems: Analytical Tools for Evaluation and Self-Stabilizing Provisioning”, Department of Computer Science and Engineering, Chalmers University of Technology, January 2018
  • Backup Grading Committee member: Negin Fathollah Nejad Asl, “On the Design and Analysis of Consensus Protocols for Vehicular Ad Hoc Networks”, Department of Computer Science and Engineering, Chalmers University of Technology, September 2017

External Recruitment Committee Work

  • External evaluator for promotion to tenured Associate Professor "Operating Systeme", TU Hamburg (TUHH), 2023
  • External evaluator for promotion to tenured Associate Professor, University of Trento, Italy, September 2022
  • External member of the recruitment committee Assistant Professor with Tenure Track (W1 to W2) "Machine Learning in Virtual Materials Design" at TU Hamburg (TUHH) & Hereon, 2022
  • External evaluator: Assistant Professorship in Computer Science with a focus on Embedded Communication and Computer Networking at Linnaeus University, LNU, Sweden, 2020/21
  • External member of the recruitment committee Assistant Professor with Tenure Track (W1 to W3) "Smart Sensors" at TU Hamburg Harburg, 2020/21
  • External member of the recruitment committee Assistant Professor with Tenure Track (W1 to W3) "Massively Parallel Systems" at TU Hamburg Harburg, 2020/21
  • External member of the recruitment committee Assistant Professor with Tenure Track (W1 to W3) "Operating Systems" at TU Hamburg Harburg, 2020/21
  • External evaluator: W2 Professorship "Ubiquitous Computing and Smart Systems" at TU Bergakademie Freiberg, Germany, December 2020
  • External evaluator: Assistant Professor "Software-Defined Communication Systems" at TU Dortmund, Germany, September 2020
  • External evaluator: Assistant Professor with Tenure Track "Distributed Operating Systems (Cloud/Mobile)" at Hamburg University, Germany, January 2020

Internal Recruitment Committee Work

  • Chair (Kümmerer) of the recruitment committee for the Full Professorship "Security Engineering" in Computer Science at Kiel University, Germany, 2024
  • Member of the recruitment committee for the Full Professorship "Marine Data Science" in Computer Science at Kiel University, Germany, 2022
  • Member of the recruitment committee for the Junior Professorship "Digital Marketing" in Business at Kiel University, Germany, 2022
  • Member of the recruitment committee for the Full Professorship "Informationssysteme" in Computer Science at Kiel University, Germany, 2019/2020
  • Member of the recruitment committee for the Associate / Full Professorship "Systems and Network Security" at Chalmers University, Sweden, 2013

Department Work at CAU Kiel 

  • Member of Kinsis and KMS (until 2025)
  • Member of the KMS Steering Board, 2022–2025
  • Co-lead of the finance board, since 2022 - 2025
  • Member of the Konvent of the Faculty of Engineering, 2022–2025
  • Co-lead of the internationalization board, 2020–2025
  • Deputy member of the examination board (Prüfungsausschuss), 2020–2025
  • Member of the study board (Studienausschuss), 2019–2025
  • Co-Director of the Department of Computer Science, 2018–2025

Continuing Education

Education and training throughout recent years.

  • Learning Analytics (2h), Kiel University, 2020
  • Ethics and Research (one full day), Kiel University, 2019
  • Leadership Training (one and a half days), Kiel University, 2019
  • Didactics at the University (one full day), Kiel University, 2019
  • Leadership training, Swedish Foundation for Strategic Research (SSF, 5 full days), 2018
  • Forum for Research Group Leaders (2 full days), Chalmers HR, 2018
  • Coaching; an approach to supervision of doctoral students (three full days), Chalmers, 2017
  • Mentors2Research: industrial mentor program of Chalmers Innovation, 2016 - 2017
  • Self-awareness Training (CARE), Chalmers, 2017/2018 (one full day)
  • Interview and Media Training (half a day), Chalmers, 2016
  • Leadership Training Program for High Potential Assistant Professors (10 full days), 2012 - 2013
  • Supervision & Pedagogical Training, Chalmers Diploma of Higher Education, 15 ECTS, 2012 - 2014;
    • Course: Supervision of Research (CIU930, 3 ECTS, 2012)
    • Course: Teaching, Learning and Evaluation (CIU900, 3 ECTS, 2013)
    • Course: Learning in digital media (CIU910, 3 ECTS, 2014)
    • Course: Pedagogical project (CIU925, 6 ECTS, 2014)

Pedagogical Stuff

In the classroom, I aim to have a high degree of interactivity. During my pedagogical training, I experimented with several methods to realize this in large classrooms, i.e, in the order of one hundred students. This includes on-line questionnaires but also methods to foster students to ask questions in the classroom. This work has led to some presentations etc. which I list here.

  • Best Professor Award 2024 by the Computer Science Student Union (Fachschaft)
  • Second Place for the Professor Award 2022 by the Computer Science Student Union (Fachschaft)
  • Best Professor Award 2019 by the Computer Science Student Union (Fachschaft)
  • Shortlisted for the Pedagogical Prize of the IT student union 2017
  • Shortlisted for the Pedagogical Prize of the IT student union 2016
  • Invited presentation at the KUL Conference (Conference on Learning and Teaching), hosted at Chalmers 2015
  • PI of the interactive teaching project at Chalmers, 2014/2015.
  • Invited presentation at the PhD Council, Department of Computer Science and Engineering, Chalmers, 2014
  • Invited presentation at the retreat of the Networks and System division, Department of Computer Science and Engineering, Chalmers 2014
  • Chalmers Pedagogical Prize 2014

Popular Science

Disseminating our research to the wider audience is essential for us as a research group. This includes presentations to the public, demos, and articles in newspapers and magazines.

 

TU Hamburg
Institute for Networked Cyber-Physical Systems
Prof. Dr. Olaf Landsiedel
Am Schwarzenberg-Campus 3
21073 Hamburg, Germany
E-mail : ncps@tuhh.de
Phone : +49 40 42878 3571
Links
Imprint
Data Privacy
Accessibility
How to get here