Prof. Snorre Aunet is a faculty member at Bielefeld University's Faculty of Engineering, affiliated with the Cognitronics & Sensor Technology Group. His research focuses on cognitive systems and sensor technology, with applications in embedded systems and signal processing. Research Interests : Cognitive systems, sensor networks, embedded hardware design Affiliation : Faculty of Engineering, Cognitronics & Sensor Technology Group Contact details include a secretariat phone number (+49 521 106-12048) and institutional address through the Faculty of Engineering.
Dr. Marc Hesse serves as Team Leader of the Cognitronics & Sensor Technology Group at Bielefeld University's Faculty of Engineering and is also a Board member of the Center for Cognitive Interaction Technology (CITEC). His work bridges engineering, robotics, and sensor technology with practical applications across multiple domains. Dr. Hesse's research spans wireless sensor networks, robotics, machine learning applications, and Industry 4.0 technologies. His work focuses on developing practical solutions for real-world problems, including physiological monitoring systems, UWB localization in challenging environments, and edge computing applications for smart grids and manufacturing. He has made significant contributions to educational robotics through the AMiRo platform, which integrates research and teaching in robotics education. His publication record shows consistent output across multiple domains, with recent work emphasizing machine learning applications in sensor networks, edge computing implementations, and digital twin technologies. The research demonstrates a trajectory from fundamental sensor and system design to applied implementations in agriculture, healthcare, and industrial settings. Dr. Hesse collaborates extensively across disciplines and institutions, with publications spanning biomedical engineering, robotics, electrical engineering, and sports science. His work often addresses the practical challenges of implementing theoretical concepts in real-world environments with resource constraints.
Kaiser Pärnamets serves as a Lecturer at Tallinn University of Technology within the Thomas Johann Seebeck Department of Electronics, based at Ehitajate tee 5, Room U02-221 in Tallinn. His primary affiliation is with the Research Laboratory for Cognitronics, focusing on interdisciplinary integration of cognitive principles and electronic engineering. His research centers on Cognitronics , exploring neural engineering applications and cognitive system design. Key interests include brain-computer interfaces and embedded cognitive systems, bridging theoretical neuroscience with practical electronics development through the department's specialized laboratory infrastructure. As part of the Department of Electronics, Dr. Pärnamets contributes to academic programs while advancing research in cognitive-electronic fusion technologies within Tallinn University of Technology's engineering ecosystem.
Mr. Alexander David is a researcher at Bielefeld University's Faculty of Engineering, affiliated with the Cognitronics & Sensor Technology Group. His work intersects with the university's 'Socio-Technical World' strategic research area, focusing on cognitive interaction technology and sensor systems. He is based at the Center for Cognitive Interaction Technology (CITEC) in room 3-412, contributing to interdisciplinary research that aligns with Bielefeld University's principle of Transcending Boundaries between disciplines, people, and society.
Dirk Jungewelter, Dipl.-Ing., is a researcher at Universität Bielefeld working within the Faculty of Engineering and the Center for Cognitive Interaction Technology (CITEC). He is affiliated with the Cognitronics & Sensor Technology Group, where he contributes to research at the intersection of cognitive science and electronic systems. His research focuses on Cognitronics and Sensor Technology , with particular emphasis on developing interactive systems that bridge human cognition with electronic interfaces. His work appears to center on creating advanced sensor technologies for cognitive interaction applications, likely involving robotics and embedded systems. Based at CITEC 3-040 with contact number +49 521 106-12104, Jungewelter works within Bielefeld University's prominent research center dedicated to cognitive interaction technology. The Center for Cognitive Interaction Technology represents one of Germany's major research initiatives in human-technology interaction.
Shiqing Liu is a researcher at the University of Bielefeld, affiliated with the Faculty of Engineering and the Cognitronics & Sensor Technology Group within the Center for Cognitive Interaction Technology (CITEC). Based at office CITEC 3-204, Liu contributes to the university's research in the Socio-Technical World domain, focusing on technologies that enable agents to act and communicate in complex environments. Dr. Liu's research spans several cutting-edge areas in artificial intelligence and optimization. Their work primarily focuses on graph neural networks, combinatorial optimization, and federated learning systems. They have made significant contributions to applying machine learning techniques to solve complex optimization problems including vehicle routing, facility location, and neural architecture search. Their research bridges theoretical computer science with practical applications in distributed systems and privacy-preserving technologies. An analysis of Dr. Liu's recent publications reveals a strong trajectory in developing unified frameworks that combine graph-based learning with combinatorial optimization. Their work increasingly addresses challenges in federated settings where data privacy and distribution heterogeneity present significant obstacles. The research demonstrates a progression from single-objective optimization problems toward more complex multi-objective scenarios, with growing emphasis on practical implementation constraints and real-world applicability. Dr. Liu is actively involved in the Cognitronics & Sensor Technology research group at CITEC, which is part of Bielefeld University's strategic focus on the Socio-Technical World. This center investigates how humans, robots, and AI systems can effectively interact and collaborate in complex environments, aligning with the university's broader mission of "Transcending Boundaries" between disciplines and between science and society.
Luca Maximilian Schlegel is a researcher at Bielefeld University, affiliated with the Faculty of Engineering and the Cognitronics & Sensor Technology Group within the Center for Cognitive Interaction Technology (CITEC). His research focuses on cognitive systems, sensor technology, and human-robot interaction. As part of CITEC, he contributes to interdisciplinary research that bridges computer science, engineering, and cognitive science to develop intelligent systems capable of natural human interaction. His work aligns with Bielefeld University's strategic research area in the Socio-Technical World, which examines capabilities enabling humans, robots, and AI to act and communicate in complex environments. Based in office CITEC 3-204, Mr. Schlegel holds a Master of Science degree and participates in teaching activities at the university, though his research profile is not yet fully established in the university's systems according to the available information.
Mr. Kevin Mika (M.Sc.) is affiliated with the Faculty of Engineering at University of Bielefeld. He is part of the Cognitronics & Sensor Technology working group, located in the CITEC (Center for Cognitive Interaction Technology) building (room 3-041). His role includes contact details for the group and participation in IT support services related to the faculty. Research interests are inferred from his affiliation with the Cognitronics & Sensor Technology group and the university's focus on interdisciplinary research in socio-technical systems. This includes: Development of sensor technologies for cognitive applications Engineering of human-machine interaction systems Interdisciplinary approaches at the interface of technology and cognitive science The university emphasizes its principle of "Transcending Boundaries" through cross-disciplinary collaboration in research areas like the Socio-Technical World, where Kevin Mika's work likely contributes to understanding agent capabilities in complex environments.
Jens Hagemeyer is a Team Leader for Heterogeneous and Reconfigurable Systems at the Cognitronics & Sensor Technology Group within the Faculty of Engineering at Bielefeld University . He also contributes to research at the Research Institute for Cognition and Robotics and the Center for Cognitive Interaction Technology (CITEC) . His research focuses on reconfigurable systems , sensor technology , and cognitive interaction engineering , aligning with Bielefeld University’s Socio-Technical World strategic research area. He works in the CITEC building (room 3-410) and is reachable via institutional phone lines.
Louisa Charlotte Nägle is a Researcher at the University of Bielefeld, affiliated with the Faculty of Engineering and specifically working within the Cognitronics & Sensor Technology Group. Her office is located at CITEC 3-038, part of the Center for Cognitive Interaction Technology. Ms. Nägle's research focuses on the intersection of robotics, sensor technology, and cognitive systems. Her work in the Cognitronics & Sensor Technology Group suggests expertise in developing intelligent sensor systems that can interact with humans and environments in meaningful ways. Her research interests span multiple domains including: Robotics and autonomous systems Advanced sensor technology and integration Cognitive interaction systems Human-robot interaction Artificial intelligence applications in sensor systems As a member of the Center for Cognitive Interaction Technology (CITEC), Ms. Nägle contributes to interdisciplinary research that combines computer science, engineering, and cognitive science to develop systems that can interact with humans in natural and intuitive ways.
Bastian Steinhagen, M.Sc. is a Researcher at Faculty of Engineering , Universität Bielefeld , affiliated with the Cognitronics & Sensor Technology Group and the Research Institute for Cognition and Robotics (CoR-Lab) . Since January 2023, he has contributed to the Sustainable Life-Cycle of Intelligent Socio-Technical Systems (SAIL) project, focusing on subproject R2.2 "Data and Model Apoptosis." Education: Master of Science in History, English Studies, and Educational Sciences (2023), Bielefeld University His research intersects machine learning with smart energy systems , addressing challenges in IoT integration for low-voltage grids, photovoltaic generation forecasting , and resource-constrained sensor optimization . He also explores edge computing and UWB localization for electric vehicle charging control and signal integrity analysis. Recent publications highlight trends in applying AI to energy infrastructure , including Transformer-Level Load Forecasting , TinyML for Wearables , and LoRa-based EV Charging Systems . His work aligns with Bielefeld’s strategic Socio-Technical World research area. Project Affiliations: SAIL (Sustainable Life-Cycle of Intelligent Socio-Technical Systems), BiLinked (collaborative digital teaching formats). Collaborative networks include Center for Cognitive Interaction Technology (CITEC) and interdisciplinary research clusters.
Christian Stollenwerk, M.Sc., is a researcher at the University of Bielefeld working within the Faculty of Engineering. He is affiliated with the Cognitronics & Sensor Technology Group, Center for Cognitive Interaction Technology (CITEC), and the Research Institute for Cognition and Robotics. His research focuses on the intersection of robotics, sensor systems, and cognitive interaction technologies. The work within these groups emphasizes developing advanced sensor technologies that enable more natural human-robot interactions and cognitive computing systems. Based at CITEC 3-037 with direct contact number +49 521 106-67368, he operates within Bielefeld's specialized cognitive technology research ecosystem which combines engineering approaches with cognitive science perspectives.
Dr. Michael Thies is a Team Leader in Machine Learning at the Cognitronics & Sensor Technology Group within the Faculty of Engineering at Bielefeld University . His work focuses on interdisciplinary research at the intersection of sensor technology and machine learning algorithms. Participates in projects under the university's strategic research area "The Socio-Technical World" Member of the Center for Cognitive Interaction Technology (CITEC) Bielefeld University emphasizes "Transcending Boundaries" through interdisciplinary research in areas like machine learning and robotics. Thies contributes to this mission by developing advanced machine learning systems integrated with sensor technology for cognitive robotics applications. His team is part of the university's robust research framework that includes Collaborative Research Centres, DFG-funded projects, and ERC grant initiatives, particularly in socio-technical systems and computational modeling.
Immanuel Sanka is a Full-stack Bioinformatician currently working at Icosagen OÜ and holding a part-time position as an Engineer at Tallinn University of Technology, School of Science, Department of Chemistry and Biotechnology. He completed his PhD in 2023 with a dissertation titled "User-friendly Analysis of Droplet Experiments" under the supervision of Ott Scheler and Olli-Pekka Aukusti Smolander. His educational background includes: PhD in Bioinformatics, Tallinn University of Technology (2019-2023) M.Sc. from Uppsala University (2016-2018) Bachelor's degree (S.Si) from Universitas Gadjah Mada (2010-2015) Dr. Sanka specializes in the intersection of biology and technology, with research interests spanning bioinformatics, biotechnology, molecular biology, and microfluidics. His work focuses on developing scalable solutions and tools for data-driven projects, particularly in droplet-based analysis systems. He has made significant contributions to the field of droplet microfluidics, developing user-friendly software for image analysis and high-throughput screening applications. His publication record shows a strong emphasis on droplet-based technologies with applications across biodetection, bacterial analysis, synthetic biology, and environmental studies. The research demonstrates a consistent pattern of bridging computational approaches with experimental biology while prioritizing practical, accessible tools for scientific researchers. Scientific recognition: Gold Medal and Best Manufacturing in International Genetically Engineered Machine (iGEM) Competition with Uppsala University Overgrad Category (2017) Dr. Sanka has been actively involved in significant research projects, including the CogniFlow-Cyte project (2020-2024), a Cognitronic Lab-on-a-Chip System for Highly-Automated Flow Cytometry funded by the Estonian Research Council with 1,311,375 EUR. His collaborative work spans multiple institutions and countries, reflecting the interdisciplinary nature of his research. His technical expertise encompasses software development for biological applications, microfluidic systems analysis, and computational approaches to biological problems. He maintains an active research profile with consistent publication output across multiple high-impact journals and continues to advance methodologies in droplet-based analysis systems.
Prof. Dr.-Ing. Ulrich Rückert is a Professor at the Faculty of Engineering of the University of Bielefeld , where he leads the Cognitronics & Sensor Technology Group and participates in CITEC (Center for Cognitive Interaction Technology). He serves as Vice Rector for Digitalization and Data Infrastructure , driving university-level digital transformation initiatives. Research Focus : Neuromorphic computing, spiking neural networks (SNNs), embedded systems, robotics, UWB localization, and reconfigurable hardware. Projects : Leading federal and EU-funded initiatives like eProcessor (RISC-V multi-core systems), VEDLIoT (efficient deep learning in IoT), and Al4DG (AI in distribution grid control). Teaching & Leadership : Academic advisor for the Master in Biomechatronics , chairs examination boards, and leads the Library Commission . His work integrates neuromorphic hardware with edge computing and real-time systems , supported by grants from the European Union and German Federal Government . Recent publications analyze FPGA-based SNNs , UWB localization , and resource-efficient embedded architectures . Scientific Contributions : Over 200 publications in robotics, neural networks, and hardware-software co-design. Notable collaborations with institutions in Germany, Switzerland, and Italy.
