Organizing Committee

• Gabriele Civitarese, University of Milano, Italy

• Pascal Hirmer, Mercedes-Benz AG, Germany

• Jadwiga Indulska, The University of Queensland, Australia

• Shruthi K. Hiremath, Georgia Institute of Technology, USA

Advisory Board

CoMoRe-AI 26 formed an advisory-board consisting of former CoMoRea organizers. The advisory board will ensure that the CoMoRe-AI workshop maintains the high standards established in previous editions. 

The advisory-board consists of:

• Claudio Bettini, University of Milano, Italy

• Daniela Nicklas, University of Bamberg, Germany

• Daniele Riboni, University of Cagliari, Italy

• Heiner Stuckenschmidt, Universität Mannheim, Germany

• Matthias Wieland, Mercedes Benz AG, Germany

Short Bios of Chairs

Gabriele Civitarese is an assistant professor at the University of Milan, Italy, in the department of Computer Science. He is a member of EveryWare Lab. His research interests are in the area of context-awareness, and particularly in hybrid knowledge-based and data-driven activity recognition methods. He published his research results in prestigious international journals and conferences.

Pascal Hirmer is a research engineer at Mercedes-Benz. His research interests are Internet of Things, context-awareness, service provisioning and composition, and cloud computing. His work is published in journals, book chapters, and conference proceedings. Since 2018, he is part of organizing the CoMoRea workshop at Percom.

Jadwiga Indulska is an Emeritus Professor of Pervasive Computing in the School of Information Technology and Electrical Engineering at The University of Queensland, Brisbane, Australia. Her research interests are in the areas of computer networks, distributed computing and pervasive computing. Over the last two decades, her research has addressed many problems in pervasive and autonomic computing including context information models for context-aware applications; autonomic management of context information; privacy of context information; software engineering of context-aware applications; balancing user control and software autonomy; autonomic and  rapidly deployable mesh networks; and Software Defined Networks. She serves on editorial boards of journals on pervasive computing including the Elsevier Journal of Pervasive and Mobile Computing and on numerous conference program committees. 

Shruthi K. Hiremath is a Visiting Scholar at Georgia Institute of Technology. She holds a Ph.D. in Computer Science from Georgia Tech, where her research focused on developing 

human activity recognition (HAR) and behavior analysis systems using wearable and nearable technologies. Her doctoral work centered on designing and maintaining data-driven and context-driven HAR systems specifically for smart homes. She continues to work at the intersection of machine learning and ubiquitous computing, developing technologies that support assisted living and enable longitudinal health monitoring. Her research has been published in international journals and conferences, particularly in the Ubicomp space.