Assoc. Prof. Matthias Janetschek, PhD

Senior ResearcherSoftware Engineering +43 512 2070 - 4331 matthias.janetschek@mci.edu

Professional work experience

09/2020 - present
Associate Professor - Management Center Innsbruck, Austria
05/2018 - 09/2020
Lecturer - Management Center Innsbruck, Austria
05/2013 - 07/2015
Co-Founder, Senior Developer - Felix Solution UG (haftungsbeschränkt)
09/2011 - 02/2018
Research Assistant - University of Innsbruck
Research and Teaching
05/2011 - 08/2011
student assistant - University of Innsbruck
Research

Education

10/2011 - 04/2019
PhD - University of Innsbruck
Computer Science
10/2007 - 08/2011
MSc - University of Innsbruck
Computer Science
10/2002 - 09/2007
Bakk.techn. - University of Innsbruck
Computer Science

Teaching (faculty internships etc.)

11/2025 - present
- - MCI - The Entrepreneurial School
Systems Design & Software Architecture
11/2025 - present
- - MCI - The Entrepreneurial School
Internet of Things II
09/2025 - present
- - MCI - The Entrepreneurial School
Advanced Integrative Project
05/2023 - 07/2023
Management Center Innsbruck, Österreich
Software Engineering II
10/2020 - 02/2023
Management Center Innsbruck, Austria
Distributed Systems
09/2020 - 02/2023
MCI - The Entrepreneurial School, Austria
Integrated Overall Project
07/2020 - 07/2020
Management Center Innsbruck, Austria
Virtual Reality
05/2020 - 07/2025
Management Center Innsbruck, Austria
Architecture of information systems
04/2020 - 05/2020
Management Center Innsbruck, Austria
Databases II & Big Data
09/2019 - present
Management Center Innsbruck, Austria
Data networks
05/2019 - 02/2023
Management Center Innsbruck, Austria
Operating systems
04/2019 - present
Management Center Innsbruck, Austria
Computer Architecture & Embedded Systems
02/2019 - present
Management Center Innsbruck, Austria
Methods of Software Development II
11/2018 - 12/2020
Management Center Innsbruck, Austria
Principles of databases
11/2018 - 01/2019
Management Center Innsbruck, Austria
Object oriented modelling
11/2018 - present
Management Center Innsbruck, Austria
Methods of Software Development I
10/2018 - present
Management Center Innsbruck, Austria
Programming Techniques
03/2012 - 02/2018
University of Innsbruck
Einführung in die Praktische Informatik, Studienorientierungslehrveranstaltung (1 Semesterstunden) Betriebssysteme, Proseminar (2 Semesterstunden) Verteilte Systeme, Proseminar (1 Semesterstunden)

Practice related research and developmental project

07/2023 - present
Senior Researcher - - MCI - The Entrepreneurial School
Josef Ressel Zentrum für Sicherheitsanalyse von IoT-Geräten

Further education & Training

2018 - 2018
MCI - The Entrepreneurial School
Sakai Advanced
2018 - 2018
MCI - The Entrepreneurial School
Adobe Connect Advanced
2018 - 2018
MCI - The Entrepreneurial School
Adobe Connect Basics
2018 - 2018
MCI - The Entrepreneurial School
Sharepoint course
2018 - 2018
MCI - The Entrepreneurial School
Tipps & tricks for online courses
2018 - 2018
MCI - The Entrepreneurial School
Corporate Communication
MCI - The Entrepreneurial School
Sakai Basic

Peer reviewed journal article

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

Chapters in books

Janetschek, M., & Schöttle, P. (2024). Technische Grundlagen. In L. Staffler, B. Ebersberger, & A. Jobin (Eds.), Digitalwirtschaft: Technische, wirtschaftliche und gesellschaftliche Grundlagen (1st ed., p. 474). Springer Gabler Wiesbaden.
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

Peer reviewed academic/professional meeting proceedings

Egger, C., Janetschek, M., Nocker, M., Merkle, F., & Schöttle, P. (2025). A Meta Device Model for Automated Security Assessment of Internet of Things Devices. Proceedings of the 15th International Conference on the Internet of Things, 59–67. https://doi.org/10.1145/3770501.3770509
Nocker, M., Merkle, F., Schöttle, P., & Janetschek, M. (2026). Protecting Privacy in IoT-Based Deep Learning: State-of-the-Art Methods and Challenges. In M. Manulis (Ed.), Applied Cryptography and Network Security Workshops (pp. 163–184). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-01799-4_10
Schöttle, P., Janetschek, M., Merkle, F., Nocker, M., & Egger, C. (2025). Large-Scale (Semi-)Automated Security Assessment of Consumer IoT Devices – A Roadmap. 2025 10th International Conference on Smart and Sustainable Technologies (SpliTech), 1–8. https://doi.org/10.23919/SpliTech65624.2025.11091811
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

Supervised bachelor theses

Indra Roland (2025): Präsenzerkennung mit Bluetooth Low Energy zur Steuerung der Beleuchtung öffentlicher Plätze, Rad- und Gehwege
Freitag Matthias (2025): Smart Waste Management: Effizienzsteigerung und Umweltvorteile durch IoT-Technologien
Sommerlechner Markus (2025): GitOps-gestützte zentrale Verwaltung und Konfiguration von Edge-Geräten
Gögele Markus (2025): Performance von Embedded User-Space-Gerätetreibern auf einer i.MX 8M Plus Plattform
Praxmarer Fabian (2025): Extended Reality im Tourismus: Entwicklung einer XR-Applikation zur Verbesserung des touristischen Erlebnisses
Strauß David (2025): Sicherheitsanalyse der KI-gesteuerten Funktionen in IoT Geräten - Eine Untersuchung am Beispiel des Roborock Qrevo Master
Berger David (2025): E n t w i c k l u n g e i n e r We b -Ap p l i k a t i o n z u r a u t o m a t i s i e r t e n A b w i c k l u n g vo n Wa re n t r a n s p o r t ve r s i c h e r u n g e n
Gfader Christian (2025): Produktionsoptimierung durch softwareunterstütztes Handling biegeweicher Stahlprodukte in der Betonfertigteilindustrie
Rofner Andreas (2025): Sicherheitsanalyse von Zigbee Netzwerken in Bezug auf deren Konfiguration
Egger Philipp (2024): Automatisierte Überprüfung von ZigBee-Konfigurationen
Prenner Lukas (2024): Welche Schwachstellen existieren bei IoT-Geräten in Bezug auf physische Angriffe über UART-Schnittstellen, und wie können diese erkannt werden?
Hirschberger Julian (2024): Schnapsen mithilfe von Reinforcement Learning
Vural Hasan (2024): Prototyp Implementierung eines intelligenten Tutoren-Systems für die Einführung in die Programmierung
Zierler Dominik (2024): Configure Data Base (CDB) : Entwickelung eines Webinterfaces für das hausintern programmierte Tool zur leichteren Verwaltung der Linux-Konfigurationen
Moser Daniel (2024): It Doesn't Byte: Unleashing Spot's Potential in Human-Robot-Interaction
Huber Alexander (2024): Entwurf und Konzeption einer sensorbasierten Applikation zur Messung, Auswertung und Darstellung einer Mountainbike-/Shared-Trail-Nutzung
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"

Supervised master theses

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