Assoc. Prof. Matthias Janetschek, PhD

2020 - present
Associate Professor - Management Center Innsbruck, Austria

2018 - 2020
Lecturer - Management Center Innsbruck, Austria

2013 - 2015
Co-Founder, Senior Developer - Felix Solution UG (haftungsbeschränkt)

2011 - 2018
Research Assistant - Research and Teaching - University of Innsbruck

2011
student assistant - Research - University of Innsbruck

2011 - 2019
Computer Science - University of Innsbruck (PhD)

2007 - 2011
Computer Science - University of Innsbruck (MSc)

2002 - 2007
Computer Science - University of Innsbruck (Bakk.techn.)

Sakai Advanced - MCI - The Entrepreneurial School

Adobe Connect Advanced - MCI - The Entrepreneurial School

Adobe Connect Basics - MCI - The Entrepreneurial School

Sharepoint course - MCI - The Entrepreneurial School

Tipps & tricks for online courses - MCI - The Entrepreneurial School

Corporate Communication - MCI - The Entrepreneurial School

Sakai Basic - MCI - The Entrepreneurial School

Einführung in die Praktische Informatik, Studienorientierungslehrveranstaltung (1 Semesterstunden) Betriebssysteme, Proseminar (2 Semesterstunden) Verteilte Systeme, Proseminar (1 Semesterstunden) - University of Innsbruck

Programming Techniques - Management Center Innsbruck, Austria

Methods of Software Development I - Management Center Innsbruck, Austria

Principles of databases - Management Center Innsbruck, Austria

Object oriented modelling - Management Center Innsbruck, Austria

Methods of Software Development II - Management Center Innsbruck, Austria

Computer Architecture & Embedded Systems - Management Center Innsbruck, Austria

Operating systems - Management Center Innsbruck, Austria

Data networks - Management Center Innsbruck, Austria

Databases II & Big Data - Management Center Innsbruck, Austria

Architecture of information systems - Management Center Innsbruck, Austria

Virtual Reality - Management Center Innsbruck, Austria

Integrated Overall Project - MCI - The Entrepreneurial School, Austria

Distributed Systems - Management Center Innsbruck, Austria

Software Engineering II - Management Center Innsbruck, Österreich

• Brinkschulte, L., Schlögl, S., Monz, A., Schöttle, P., & Janetschek, M. (2022). Perspectives on Socially Intelligent Conversational Agents. Multimodal Technologies and Interaction, 6(8). https://doi.org/10.3390/mti6080062
• Thalhammer, F., Schöttle, P., Janetschek, M., & Ploder, C. (2022). Blockchain Use Cases Against Climate Destruction. Cloud Computing and Data Science, 3(2), 22-38. https://doi.org/10.37256/ccds.3220221277
• Matthias Janetschek, Radu Prodan, Shajulin Benedict. A Workflow Runtime Environment for Manycore Parallel Architectures. In Future Generation Computer Systems Special Issue: Workflows for Data-Driven Research, Volume 75, October 2017, Pages 330-347, Elsevier
• Kassian Plankensteiner, Radu Prodan, Matthias Janetschek, Thomas Fahringer, Johan Montagnat, David Rogers, Ian Harvey, Ian Taylor, Ákos Balaskó, Péter Kacsuk. Fine-Grain Interoperability of Scientific Workflows in Distributed Computing Infrastructures. In Journal of Grid Computing, Page 1-27, June, 2013, Springer

• M. Janetschek, R. Prodan, and J. Barbosa. Impact of workflow enactment modes on scheduling and workflow performance. In J. Carretero, E. Jeannot, and A. Zomaya, editors, Ultrascale Computing Systems, chapter 2., January 2019.
• Simon Ostermann, Matthias Janetschek, Radu Prodan, Thomas Fahringer: Scientific Applications on Clouds. in Cloud Services, Networking, and Management, Pages 309 - 332, John Wiley & Sons, Inc., Hoboken, New Jersey, 2015

• Viertler P., Schlögl S., Mayer R., Janetschek M., & Pattermann J. (2021). Show Me the Universe! Perceived Usability and Task Load of an AR Mobile-App in Secondary School Learning. In: Uden L., Liberona D. (eds) Learning Technology for Education Challenges. LTEC 2021. Communications in Computer and Information Science, vol 1428. Springer, Cham. doi: https://doi.org/10.1007/978-3-030-81350-5_4
• Matthias Janetschek, Radu Prodan. A Compiler Transformation-based Approach to Scientific Workflow Enactment. In Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science., Denver, Colorado, November 13, 2017, ACM
• Matthias Janetschek, Radu Prodan, Shajulin Benedict. A Workflow Runtime Environment for Manycore Parallel Architectures. In Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science., Austin, Texas, November 15, 2015, ACM
• Matthias Janetschek, Simon Ostermann, Radu Prodan. Bringing Scientific Workflows to Amazon SWF. In Proceedings of the 39th Euromicro Conference on Software Engineering and Advanced Applications, Santander, Spain, September 4-6, 2013, Springer
• Felix Schueller, Simon Ostermann, Matthias Janetschek, Radu Prodan, Georg Mayr. The RainCloud project: Harnessing Cloud Computing for a meteorological application at the Tyrolean Avalanche Service. In EGU General Assembly Conference Abstracts, Volume 15, Vienna, Austria, Page 9710, April 15, 2013

Knapp Sebastian (2023): Funktions- und Leistungstests für SIP-Dienste

Blaas Roman (2023): Über die Anwendung des Text Mining zur digitalen Unterstützung der Technologiefrüherkennung

Steinlechner Matthias (2023): Sicherheitsschwachstellen von Smart Contracts auf der Ethereum Blockchain

Angermair Martin (2023): Maschine Learning basierende vorausschauende Wartung für Fahrzeuge

Mellauner Christoph (2023): Configuration of professional audio networks

Perkmann Martin (2022): Die Entwicklung eines appgesteuerten mobilen Luftqualitätsmessgeräts

Pider Daniel (2022): Automatisierte Erkennung von Sicherheitslücken im Kontext von Internet of Things

Waldner Arthur (2022): Automatisierte Optimierung der Lokalisierung von IoT-Geräten über WLAN mit Maschinellem Lernen

Härting Sebastian (2021): Hochverfügbare Virtualisierung und Upgrade eines Prozessleitsystems in der pharmazeutischen Industrie

Keplinger Emanuel (2021): Machbarkeitsstudie zur Anwendbarkeit eines Algorithmus für die digitale Transformation der Stundenplanung an der "fachhochschule gesundheit"

Hake Malte (2020): Computer Vision at the Edge: A Performance Evaluation of Low-Power Hardware for Edge Computing Scenarios