Group leader Embedded Learning and Sensing Systems

Associate professor at TU Graz, Institute of Technical Informatics

Faculty at Complexity Science Hub Vienna

Short CV

I'm an associate professor and a group leader of the Embedded Learning and Sensing Systems group at TU Graz, Institute of Technical Informatics (ITI) and Complexity Science Hub Vienna (CSH). I hold a habilitation degree in Embedded Systems from TU Graz since 2020. I did my postdoctoral training at ETH Zurich in 2010-2016 working in the group headed by Prof. Lothar Thiele in the Computer Engineering and Networks Laboratory. Following my Bachelors in Applied Mathematics from the Taras Shevchenko University of Kyiv, Ukraine in 2002 and my Masters in Applied Computer Science from the University of Freiburg, Germany in 2004, I received my Ph.D. in Computer Science from the University of Bonn, Germany in 2009. I received the 2010 CONET Ph.D. Academic Award for my thesis "Efficient Algorithms for Structuring Wireless Sensor Networks". My research focuses on efficient machine learning and engineering AI-based systems, covering a range of topics on the intersection of deep learning and embedded systems. I am interested in both theoretical beauty of algorithm design and model optimizations, and in solving real-world challenges. I serve on program committees of international conferences. My publications have been accepted at top venues in machine learning and cyber-physical systems, including ICLR, IEEE/ACM IPSN and ACM ToSN.

Research Group

I lead the Embedded Learning and Sensing Systems research group working on embedded machine learning and processing CPS-IoT sensor data on the edge. The state-of-the-art computational models that, for example, recognize a face, or detect events of interest are increasingly based on deep learning principles and algorithms. Unfortunately, deep models exert severe demands on local device resources and this limits their adoption within mobile and embedded platforms. Our group works on solving the challenges when running these models on embedded and mobile devices. We care about data privacy and environmental sustainability, which is reflected in applications of our work and deployed prototypes of the developed systems.

Learn more about our group members, research and teaching activities.

My team is spread across two locations / research institutions: TU Graz and CSH Vienna. Group members often have different affiliations, yet work together on joint challenges and use a huge lot of collaboration tools to bridge the distance.

Recognitions and Awards

• Oral presentation, CoLLAs, 2024.

• Spotlight, ICML OPPO Workshop, 2021.

• Best Paper Runner-Up Award, UbiComp Workshop: Combining Physical and Data-Driven Knowledge in Ubiquitous Computing (CPD), 2021.

• Best Paper Award, UrbCom: Workshop on Urban Computing, 2021.

• Best Paper Award, IEEE SECON, 2021.

• Best Poster Runner-Up, ACM/IEEE IPSN, 2019.

• Best Paper Award, IEEE ICPADS, 2017.

• Best Paper Award, ACM/IEEE IPSN, 2015.

• Best Paper Award, IEEE PerCom, 2014.

• Best Paper Award, ACM/IEEE IPSN, 2011.

• CONET Ph.D. Academic Award (European Ph.D. thesis award competition), 2010.

• Two-year Ph.D. scholarship from IPVS, University of Stuttgart, 2004-2005.

• Prizes for regional competitions in mathematics, member of Ukrainian team, 1996-1998.

Natural Languages
English (fluent), German (fluent), Ukrainian (native), Russian (#StandWithUkraine), Italian (basic)