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Dr. phil. nat. Manuel Renold

Dr. phil. nat. Manuel Renold

Dr. phil. nat. Manuel Renold

ZHAW School of Engineering
Cybernetic Learning Systems Group
Technikumstrasse 81
8400 Winterthur

+41 (0) 58 934 67 59
manuel.renold@zhaw.ch

Arbeit an der ZHAW

Tätigkeit

Head of Cybernetic Learning Systems

Aus- und Weiterbildung

Arbeits- und Forschungsschwerpunkte

Intelligent Systems in Operations In particular: Machine Learning/Deep Learning, Operation in Aviation, Simulation, (Deep) Reinforcment Learning, AI in Aviation, Operations Research and Process Optimization, Business Analysis, Statistics, Multiobjectiv Optimization, Digital Twins

Beruflicher Werdegang

2023 - heute Head of Scientific Board, Flatland Association
2023 - heute Member of the Board, Flatland Association
2021 - heute Academic Council, Frigg.eco Ltd.
2020 - heute Advisory Board Member, optimes Ltd.
2019 - heute Track Organizer, EPFL/AMLD, AI & Aviation
2016 - heute Geschäftsleitung, aviena GmbH
2014 - heute Dozent für Verkehrsmodellierung, Transport and Traffic Engineering (IDP, ZHAW)
2012 - 2013 Wissenschaftlicher Mitarbeiter, Transport and Traffic Engineering (IDP, ZHAW)
2008 - 2012 Project Leader, Competence Center Simulation & Operations (Zurich Airport)
1997 - 2001 Geschäftsleitung, Gründer, OrcaSoft Ltd. Delaware, USA
1998 - 2011 Eidgenössischer Prüfungsexperte für Physik (Med. Fakultät Uni Bern)

Aus- und Fortbildung

2016 CAS Hochschuldidaktik, Pädagogische Hochschule Zürich
2013 Didaktikkurs für Hochschuldozenten, Universität St.Gallen
2010 ETH-BWI Projektmanagement, Projektleitung und Teamführung
2009 ETH-BWI Projektmanagement, Projektleiter
2007 Dissertation in Physik an der Universität Bern
2003 Diplom, lic.phil.nat., in Physik an der Universität Bern

Mitglied in Netzwerken

Projekte

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed
Bücher und Monographien, peer-reviewed
Konferenzbeiträge, peer-reviewed
Weitere Publikationen

Publikationen vor Tätigkeit an der ZHAW

KBS, Korean Broadcasting System, TV-Interview, 2011, Das duale Ausbildungssystem der Schweiz. Zusammenarbeit zwischen dem Flughafen Zürich und der ZHAW. www.youtube.com/@kbsworldnews.

The CCSM Linux Cluster Project, 2004, www.climate.unibe.ch/CCSM/index.html.

02.2003 University of Basel, Global warming and ocean circulation experiments using a coupled climate model
on a Linux-Cluster.
04.2003 EGS General Assembly 2003, Nice, France
05.2003 2th Young Researchers Meeting, Münchenwiler, Switzerland
05.2003 Media Training for Scienctist, Münchenwiler, Switzerland
09.2003 NCCR Swiss Climate Summer School, Grindelwald: Climate Change, Impacts on Terrestrial Ecosystems
04.2004 EGS General Assembly 2004, Vienna, Austria
05.2004 3th Young Researchers Meeting, Gwatt, Switzerland
05.2004 ESF-HOLVAR 2004, Kastantienbaum, Switzerland: Holocene climate variability and climate forcing
09.2004 CSCS User's Day, Manno TI, Switzerland
09.2004 NCCR Swiss Climate Summer School, Monte Verita,Ticino, Switzerland: Variability, From Observation to Prediction
05.2005 4th Young Researchers Meeting, Gwatt, Switzerland
09.2005 NCCR Swiss Climate Summer School, Grindelwald: from the Holocene to the Anthropocene, Climate of
the Last 1000 Years
02.2006 University of Bern, KUP-Seminar, Die Klimaantwort auf nordatlantische Frischwassereinträge: Untersuchungen
mit dem Klimamodell CCSM3.0.
05.2006 5th Young Researchers Meeting, Gwatt, Switzerland
09.2006 CSCS User's Day, Manno TI, Switzerland
03.2008 Arena Simulations Seminar, SAT, Deutschland
09.2008 Arena User Meeting, SAT, Deutschland
12.2008 WinterSim Conference 2008, Miami/USA
05.2009 ZHAW Kompaktseminar Simulation, Wädenswil, Schweiz

Weitere Beiträge

Mijovic, N.,Kuljanin, J., Renold, M., A model for estimation of profitabel cycles in airline Industry,
Balcor 2018 XIIII Conference on Operation Research, Budabest.

Renold, M., Wacker, S., 2019, 23rd ATRS World Conference, Amsterdam, Evolutionary based capacity
optimization of a Baggage Sorting System using a Modular Cellular Automata, Amsterdam.

Renold, M., Kuljanin, J., Kalic, M., 2019, 8th International Conference on Air Transport { INAIR
2019, The comparison of financial performance of airlines with different business model operated in
long-haul market, Transportation Research Procedia 00 (2019) 000{000.

Anet, J. G., Schlögl, S., Spirig, C., Frey, M. P., Renold, M., and Gutbrod, K. G.: Building a new
high-density air temperature measurement network in two Swiss cities, EGU General Assembly 2021,
online, 19{30 Apr 2021, EGU21-9102, doi.org/10.5194/egusphere-egu21-9102, 2021.

Schlögl, S., Bader, N., Anet, J. G., Frey, M., Spirig, C., Renold, M., and Gutbrod, K.: Automated
detection of urban heat islands based on satellite imagery, digital surface models, and a
low-cost sensor network, EGU General Assembly 2021, online, 19{30 Apr 2021, EGU21-14143,
doi.org/10.5194/egusphere-egu21-14143, 2021.

Renold, M., Kuljanin, J., 2021, Second Symposium on Aviation Research, Prediction of airline net
profit cycles in the context of COVID19 crises, online, University of Bergamo, Italy.

Babic, D., Renold, M., 2023, 25th EuroWorking Group on Transportation Meeting (EWGT 2023),Prediction
of All-causes of Airline Delays at Zurich Airport Based on Decision Tree, Spain, Transportation
Research Procedia 00 (2023) 000000.

Renold, M., Vollenweider, J., Kuljanin, J., 2023, 23rd ATRS World Conference, Kobe, Decomposition
of the Airline Profit cycles: How do different business models and strategies impact the profit cycle
of airlines, Kobe, Japan.

ZHAWImpact Journal, 2021, Wie heiss sind unsere Städte?, impact.zhaw.ch/de/artikel/wieheiss-sind-unsere-staedte.

Künstliche Intelligenz für den Farming Simulator, 2016-2019, Innosuisse, www.aramis.admin.ch/Grunddaten/.

Urban Climate (AI), 2019-2022, Innosuisse, www.aramis.admin.ch/Grunddaten/.

Invited talks and conference papers (selected):
05.2013 University of Belgrade, Airport Modelling and Simulation, Belgrade.
10.2014 University of Belgrade, The LEGO-Modell. Passenger flows simulation, Belgrade.
11.2016 University of Belgrade, Optimization of Slot Allocation plan based on Genetic Algorithm. A new approach in Air Traffic System Optimization, Belgrade.
08.2016 ZHAW Winterthur, Braun Bag Seminar, Big Data and High Performance Computing.
06.2019 ATRS, Profit Cycles in Aviation, Freie Universiteit Amsterdam, Netherlands.
06.2019 ATRS, Maschin Learing techniques, Monte Carlo Random Trees search and Evolutionary Algorithms, Freie Universiteit Amsterdam.
10.2019 INAIR, The comparison of finnancial performance of airlines with different business model operated in long-haul market, University of Belgrade.
02.2020 Applied Maschine Learning Days AMLD EPFL, Lausanne. Track Organizer Artificial Intelligence in Aviation.
04.2021 Seminar, Evolutionary based capacity optimization of a Baggage Sorting System using a Modular Cellular Automaton, University of Barcelona & UPC, Spain.
02.2021 SOAR Conference, Prediction of airline net profit cycles in the context of COVID19 crises, University of Bergamo.
03.2022 Applied Maschine Learning Days AMLD EPFL, Lausanne. Track Organizer and Speaker Artificial Intelligence in Aviation.
06.2023 ATRS, Decomposition of the Airline Profit cycles: How do different business models and strategies impact the profit cycle of airlines, Kobe, Japan.
09.2023 25th Euro Working Group on Transportation Meeting (EWGT 2023), Prediction of All-causes of Airline Delays at Zurich Airport Based on Decision Tree, Spain.