Ramona Schmid is a researcher focused on the intersection of Psychology, Computer Science, and Medicine. Her work primarily explores emotion recognition systems using psychophysiological parameters, human-robot interaction dynamics, and virtual reality applications for mental health and autism spectrum disorder (ASD) interventions. Research Trends: Recent publications highlight her contributions to digital health applications, emotional stimuli analysis, and VR-based training systems for social and emotional skill development. Collaborations: She frequently collaborates with Verena Wagner-Hartl, Herag Arabian, and Knut Möller on interdisciplinary studies bridging biomedical engineering and psychological sciences. Scientific Focus: Her articles consistently address challenges in emotion recognition for neurodiverse populations, the impact of task complexity in human-robot collaboration, and validation of psychophysiological measurement environments. Key subfields include affective computing, healthcare technology, and cognitive modeling for ASD.
Philipp Cimiano is a Professor at Bielefeld University, Germany , with a prolific research record in Artificial Intelligence, Semantic Web, Natural Language Processing, Knowledge Graphs, Explainable AI, Clinical Decision Support Systems, Ontology Engineering, and Federated Learning . His work bridges theoretical AI concepts with practical applications in healthcare and robotics. Key research themes include dialogue-based XAI for user understanding, federated learning for healthcare data privacy, and LLM-driven robotics for embodied commonsense reasoning. Recent publications analyze dynamic explanatory interactions , perspectivized argumentation frameworks , and benchmarks for robot manipulation using large language models. His collaborations span institutions in Germany and Europe, with frequent co-authorship on topics like counterfactual generation , stakeholder group analysis , and lexicalization in QALD systems .
Prof. Dr. Frieder Stolzenburg is a Professor for Knowledge-Based Systems at the Harz University of Applied Sciences since 2002. Current roles include Vice Rector for Research and Equal Opportunities (2022-2027) and Deputy Head of the Doctoral Center for Engineering and Information Technology . Major research areas span Artificial Intelligence, Machine Learning, Multi-Robot Systems, Cognitive Reasoning , and Music Cognition . PhD in Disjunctive Logic Programming (1998) Habilitation on Multiagent Systems and RoboCup (2006) Academic Leadership: Vice Dean (2018-2022), Program Coordinator Research focuses on hybrid AI systems combining formal logic with cognitive models, including periodicity detection in music perception and UAV-based agricultural monitoring . Recent work explores large language models for explainable AI and deep learning applications in plant disease classification . Selected scientific awards: Best Poster/Demo at KI-2012 3rd Place RoboCup German Open 2008 Koblenz University Prize 1993 Prolog Programming Competition 3rd Place 1994 Key memberships include CLAIRE , German Informatics Society (GI) , and German University Association (DHV) . Teaching emphasizes Agent Systems , Theoretical Computer Science , and Intelligent Knowledge Engineering .
Univ.-Prof. Dr. Ronald Maier is a full Professor of Business Informatics specializing in Information and Knowledge Management at the University of Innsbruck's Faculty of Economics and Statistics. He also serves as Vice Rector for Digitalization and Knowledge Transfer at the University of Vienna. With over 25 years of academic experience, Professor Maier leads research in knowledge management systems, business process management, and digital transformation. Professor Maier earned his doctorate from WHU-Otto Beisheim School of Management in Koblenz, Germany, in 1996 with a dissertation on "Quality of Data Models." He completed his habilitation at the University of Regensburg in 2001 with the thesis "Knowledge Management Systems: Information and Communication Technologies for Knowledge Management." Prior to joining the University of Innsbruck in 2007, he held academic positions at Martin-Luther-University Halle-Wittenberg, University of Regensburg, WHU-Otto Beisheim School of Management, and Johannes Kepler University Linz. Professor Maier's research focuses on the intersection of information systems and knowledge management, with particular expertise in knowledge maturation processes, collaboration engineering, digital change, and knowledge protection in networked organizations. His work bridges theoretical frameworks with practical applications in workplace learning, idea convergence, and organizational knowledge creation. Recent research explores human-AI collaboration, digital nudges for decision making, and the impact of technology on informal learning practices across various sectors including healthcare and manufacturing. Professor Maier's publication record demonstrates a consistent trajectory from foundational work on knowledge management systems to contemporary research on digital transformation and AI-enabled collaboration. His recent articles reflect growing interest in human-AI team dynamics, cognitive aspects of knowledge work, and the challenges of managing knowledge in hyper-connected digital environments. The research shows increasing interdisciplinary collaboration, connecting information systems with cognitive science, behavioral economics, and healthcare management. Professor Maier has led multiple EU-funded research projects including KnowCom, MATURE, ARISTOTELE, POSECCO, and LAYERS. His collaborative approach has resulted in partnerships with institutions across Europe and beyond, focusing on practical applications of knowledge management in diverse organizational contexts. He has supervised numerous doctoral students and research teams working on cutting-edge topics in information systems and knowledge management. As Vice Rector for Digitalization and Knowledge Transfer at the University of Vienna, Professor Maier oversees initiatives connecting academic research with societal and economic needs. His leadership extends to the Institute for Business Information Systems at the University of Innsbruck, where he fosters interdisciplinary research on sustainable digitalization of organizations, markets, and society.
Prof. Dr.-Ing. Nassih Zughaibi is a faculty member at the Brandenburg University of Technology , affiliated with the Department of Technology . His work focuses on automation and control engineering, particularly in numerical controls for machine tools and industrial robots. Research Areas: Automation and Control Engineering Numerical Controls for Machine Tools Industrial Robot Systems Microcomputer-Based Positioning Devices Digital Drive Control System Dynamics and Adaptive Control Model-Based Diagnostics Error Compensation in Positioning Systems Services: Prof. Zughaibi offers contract research, development, consulting, and collaboration in automation technologies. Completed reference projects include partnerships with industry leaders such as SIEMENS AG , TRAUB AG , Schleicher , and HAUNI-Blohm . Contact: Engineering Science Center (IWZ), Room 306, Magdeburger Straße 50, 14770 Brandenburg an der Havel. Phone: +49 3381 355-301. Email: zughaibi@th-brandenburg.de
Michael Gensch is Professor for Terahertz and Laser Spectroscopy at the Institute of Optics and Atomic Physics at Technical University of Berlin and the ECDF (Einstein Center Digital Future). Simultaneously, he serves as Head of Department for Terahertz and Laser Spectroscopy at the German Aerospace Center (DLR) Institute of Optical Sensor Systems in Berlin Adlershof. His career has been dedicated to advancing terahertz science and its applications, with significant contributions to instrumentation development for spectroscopic methods. His research interests focus on instrument development for customized laser-based spectroscopy methods with applications in materials analysis, diagnostics at acceleration-based light sources, and robotic missions for solar system exploration. Gensch's work bridges fundamental physics with practical applications, particularly in space exploration technology. His laboratory develops advanced spectroscopic techniques including terahertz time-domain spectroscopy, Raman spectroscopy, and laser-induced breakdown spectroscopy (LIBS) for extraterrestrial environments. Analysis of his recent publications reveals a strong trend toward space exploration applications, with numerous papers on spectroscopic techniques for Mars moon Phobos, Martian atmospheric conditions, and instrumentation for extraterrestrial environments. His work increasingly integrates terahertz physics with spintronics and nonlinear optical phenomena, demonstrating novel approaches to frequency conversion and ultrafast phenomena. The research spans fundamental physics of terahertz emission mechanisms while maintaining strong practical applications for space missions. Gensch has built an extensive publication record with over 7,600 citations and an h-index of 37. His work has been influential in establishing terahertz science as a critical tool for both fundamental research and practical applications. He has been instrumental in developing the TELBE THz user facility at the Helmholtz-Zentrum Dresden-Rossendorf and has contributed to major international collaborations in photon science. His laboratory focuses on the development of space-qualified instrumentation, particularly for the Martian Moon Exploration mission (MMX), where his team has contributed the RAX Raman spectrometer for the Phobos rover. Current research emphasizes radiation-hardened components, time-domain spectroscopy techniques, and novel approaches to terahertz generation and detection that can withstand the harsh conditions of space exploration.
Prof. Henning Trsek serves as Director of the Institute Industrial IT (inIT) at OWL University of Applied Sciences since 2024, leading research in Interconnected Automation Systems. He concurrently contributes to the Cybersecurity Training Lab, a Fraunhofer IOSB-INA collaboration, and teaches graduate courses in Network Security and Industrial Communication. His academic journey spans over two decades with deep industry integration through rt-solutions.de GmbH. Educational Background: PhD in Information Technology (2015, Otto-von-Guericke-Universität Magdeburg) MSc in Information Technology (2003-2005, Halmstad University/Aalborg University) Diploma in Electrical Engineering (2000-2003, Fachhochschule Lippe und Höxter) Trsek's research centers on industrial cybersecurity and intelligent automation , with seminal work in isochronous wireless networks and OT security frameworks . His current focus integrates large language models for automated risk assessment and TSN-based security architectures , addressing critical gaps in Industry 4.0 security validation. Recent publications demonstrate methodological evolution from protocol-specific analysis (2016-2020) toward holistic security automation (2023-2025). Analysis of his 15 most recent publications reveals dominant themes: automated security risk assessment (60% of works), industrial network security (25%), and emerging threat landscapes (15%). The research trajectory shows increasing emphasis on AI-driven security validation and modular security frameworks for flexible production systems. Scientific Recognition: Best Paper Award at ETFA 2012 Trsek actively supervises graduate theses through inIT's research projects while securing industry partnerships for applied cybersecurity initiatives. His committee leadership includes IEEE Industrial Electronics Society roles and technical program coordination for ETFA (2020-2025) and INDIN conferences. Current grants focus on AI-enhanced OT security validation through the Cybersecurity Training Lab collaboration. He directs the Interconnected Automation Systems research group at inIT, operating from Lemgo's Campusallee facility. The team maintains close ties with Fraunhofer IOSB-INA for industrial testbed development and participates in Germany's Allianz für Cybersicherheit for national security standardization.
Carsten Röcker serves as Professor for Human-Technology Interaction at TH OWL University of Applied Sciences and Arts and holds a leadership position on the Executive Board of the Institute Industrial IT (inIT). His institutional affiliations include the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB-INA) as Scientific Advisor, InnoZent OWL as Board Member, and the Graduate Institute OWL. He maintains active roles in the Graduate School for Applied Research in North Rhine-Westphalia and the International Graduate School on Intelligent Systems in Automation Technology. His research spans intelligent assistance systems, human-computer interaction, and technology acceptance, with particular emphasis on industrial applications. Key focus areas include inclusive design for disadvantaged workers , augmented reality in manufacturing , and AI-mediated communication frameworks . His work bridges theoretical foundations in psychology and social sciences with practical industrial implementations, evidenced by numerous publications on projection-based AR systems, cognitive assistance for assembly tasks, and ethical considerations in workplace technology. Röcker's scholarly contributions include over 150 publications and editorial work on 8 books. His research demonstrates consistent focus on Human-centered design for industrial automation Inclusive technologies for cognitively disabled workers Psychological well-being in technology-mediated workplaces Advanced interaction paradigms using AR/VR His extensive service includes reviewing for major funding agencies (Australian Research Council, Academy of Finland), journals (ACM Transactions, Personal and Ubiquitous Computing), and over 50 international conferences annually. He has organized numerous workshops on assistive environments and healthcare applications since 2009. As an educator, Röcker supervises graduate research through TH OWL's programs and contributes to the International Graduate School on Intelligent Systems. His technical leadership extends to directing the Human-Computer Interaction research group and co-leading the ProErgo and NextPlace research clusters focused on human-centered industrial systems.
Dr. Sven Jäger is a Researcher at the Department of Mathematics, Faculty of Mathematics and Natural Sciences, Technical University Berlin. His office is located at MA 668 in the Mathematics Building at Straße des 17. Juni 136, 10623 Berlin, Germany. He can be reached by telephone at +49 30 314 23189 and by email at jaeger@math.tu-berlin.de, maintaining a professional presence through his personal website at https://sven-jaeger.gitlab.io . Dr. Jäger's research spans discrete mathematics and optimization with particular expertise in scheduling theory, algorithms, and their cross-disciplinary applications. His work bridges theoretical computer science with practical operations research challenges, evidenced by publications in top-tier venues including Mathematical Programming, European Journal of Operational Research, and SODA. He has developed significant theoretical contributions to non-clairvoyant scheduling, including competitive kill-and-restart strategies and proportional fairness analysis under polyhedral constraints. His research extends to quantum computing applications for discrete optimization and transportation network problems, demonstrating versatility across theoretical and applied domains. Analysis of his publication trajectory reveals three interconnected research streams: (1) theoretical scheduling algorithms with competitive ratio guarantees, (2) quantum-inspired optimization techniques applied to real-world problems like transport robot scheduling, and (3) transportation science applications including user equilibrium modeling and energy-efficient timetabling. His combinatorial work on symmetric chain decompositions and Gray codes provides foundational contributions to discrete mathematics. Dr. Jäger actively contributes to education as a teaching assistant for Analysis II for Engineering Sciences and Computer-Oriented Mathematics II at TU Berlin. While his publication record demonstrates significant scholarly impact across multiple domains, no specific scientific awards are mentioned in the available information. His collaborative work with researchers including Guillaume Sagnol, Anita Schöbel, and Nicole Megow spans theoretical computer science, operations research, and transportation applications, reflecting the interdisciplinary nature of his research program.
Dr. Ningning Zhang serves as Chair of Geotechnical Engineering and leads the Institute of Geomechanics and Underground Technology (GUT) at RWTH Aachen University. Her research bridges computational mechanics and practical geotechnical applications, with a focus on soil-structure interaction and bio-inspired solutions for underground engineering challenges. Her primary research domains include Geotechnical Engineering , Geomechanics , and advanced Discrete Element Modeling (DEM) . She investigates granular material behavior under complex loading conditions, specializing in bio-inspired penetration mechanics, soil creep phenomena, and particle-scale interactions. Current projects explore self-burrowing robotics for granular media, multi-scale particle shape effects on soil stiffness, and deep-learning applications for geotechnical testing. Her work consistently integrates experimental validation with high-fidelity numerical simulations to address fundamental soil mechanics questions. Dr. Zhang's recent publication trajectory reveals a strategic shift toward bio-inspired geotechnics and AI-enhanced modeling. Over 70% of her 2023-2024 publications focus on self-burrowing systems and granular material characterization, demonstrating expertise in translating biological burrowing strategies into engineered solutions. Her research uniquely combines gravitational effects analysis, crushable soil modeling, and multi-cycle penetration dynamics, establishing new methodologies for simulating complex soil behaviors. As an active mentor, she has supervised five Master's theses on topics including discrete element modeling of bio-inspired penetration processes, manufacturing trials of self-burrowing robots, and numerical analysis of trapdoor mechanisms in granular soils. Her academic leadership extends to international collaborations with institutions like Universidad Técnica Federico Santa María and research groups in India, fostering global innovation in geomechanics. The Institute of Geomechanics and Underground Technology operates state-of-the-art laboratories for soil and rock mechanics testing under Dr. Zhang's direction. The facility specializes in custom equipment development for granular material characterization, including bespoke setups for simulating bio-inspired penetration processes and virtual calibration chambers for cone penetration testing. This experimental infrastructure synergizes with their computational research to provide comprehensive solutions for geotechnical challenges.
Edward S. Boyden is the Y. Eva Tan Professor in Neurotechnology at MIT, where he holds appointments in the Department of Brain and Cognitive Sciences, Media Arts and Sciences, and Biological Engineering. He is a full member of the McGovern Institute for Brain Research, co-director of the Center for Neurobiological Engineering and the K. Lisa Yang Center for Bionics, and an investigator at the Howard Hughes Medical Institute. Boyden joined the MIT faculty in 2007 and was awarded tenure as a full professor seven years later. Boyden's research spans multiple areas of neurotechnology, with groundbreaking contributions in optogenetics, expansion microscopy, deep brain stimulation, and multiplexed imaging. His work has transformed neuroscience by providing researchers with powerful tools to observe and manipulate brain activity at unprecedented resolution. Boyden's research integrates principles from physics, engineering, chemistry, and biology to develop novel approaches for understanding and treating brain disorders. His publications reveal a consistent focus on developing innovative technologies that push the boundaries of what's possible in neuroscience. The trend shows increasing clinical translation of his basic science discoveries, with recent work moving from fundamental tool development toward therapeutic applications, particularly in vision restoration through optogenetics and non-invasive brain stimulation for memory enhancement. Breakthrough Prize in Life Sciences (2016) The Brain Prize (2013) Rumford Prize (2019) National Academy of Sciences (2019) Gairdner Foundation International Award (2018) Warren Alpert Foundation Prize (2019) Wilhelm Exner Medal (2020) Boyden has mentored numerous students who have gone on to establish their own research programs, including Deblina Sarkar, Christian Wentz, and Kate Adamala. His research has been supported by significant grants from the NIH, NSF, and private foundations. Through his leadership of the Synthetic Neurobiology Group, Boyden has fostered interdisciplinary collaborations across multiple institutions and fields. Boyden leads the Synthetic Neurobiology Group at MIT, which brings together researchers from diverse backgrounds including neuroscience, engineering, physics, and computer science. The group operates state-of-the-art facilities for developing and testing new neurotechnologies, with close connections to clinical researchers for translational work.
David Bierbach is a Researcher at the Biology and Ecology of Fishes group within the Faculty of Life Sciences at Humboldt University . His work focuses on collective behavior, animal welfare, and evolutionary ecology in aquatic species. Key Research Areas: Collective decision-making in fish shoals Behavioral plasticity in clonal and sexual fish species Environmental stress responses and adaptations Science of Intelligence Cluster collaborations Methodological Innovations: Use of biomimetic robots in studying social behavior Development of standardized fish husbandry protocols Current Projects: Thermal tolerance in extremophile fish Predator avoidance dynamics in collective systems Behavioral individuality in clonal vertebrates In recent publications (2024-2025), Bierbach's research spans fish social networks, aquaculture standards, and computational modeling of collective behavior. His work emphasizes interdisciplinary approaches combining biology with robotics and data science to advance both ecological understanding and animal welfare practices.
Prof. Dr. Pawel Romanczuk is a faculty member at Humboldt University's Faculty of Life Sciences, Institute of Biology, where he leads research in complexity science and adaptive systems. His work bridges biological collective behavior with robotics and computational modeling. Research Focus: Collective decision-making, swarming dynamics, animal behavior, and bio-inspired robotics Key Collaborations: Interdisciplinary work with robotics, physics, and ecological modeling His recent publications explore metric-free alignment in active matter, human-swarm interaction , and escape cascades in biological systems. He investigates how network topology influences decision-making and studies vision-based navigation algorithms. Scientific trends include: Understanding phase transitions in animal collective behavior Developing biomimetic robots for experimental studies Modeling social contagion in multi-agent systems
Yuankai Wu is a Researcher at the Chair of Media Technology , Technical University of Munich , focusing on Human Activity Understanding and Computer Vision . He received a B.Sc. in Electrical Engineering (2017) from Ruhr West University of Applied Sciences and an M.Sc. in Electrical Engineering and Information Technology (2020) from TUM. His work explores Human-Object Interaction Understanding and 3D Geometric Features for Assistive Robotics . Education : B.Sc. (Ruhr West), M.Sc. (TUM) Affiliation : Chair of Media Technology, TUM Research Themes : Human activity modeling, vision-driven robot assistance, action anticipation His publications (2022–2025) address topics like TSCL for action segmentation, MistSense for mistake detection, and Neural Painted Radiosity Fields for 3D reconstruction. Collaborative projects span embodied interaction , contextual alignment , and scan-to-CAD estimation .
Dong Yang is a Researcher and PhD candidate at the Chair of Media Technology, Technical University of Munich (TUM) , since October 2021. His work bridges Computer Vision, Machine Learning, and Robotics to advance haptic teleoperation systems. B.Eng in Electrical Engineering and Automation (Fuzhou University, China) B.Sc in Electrical Engineering and Information (Technical University of Kaiserslautern, Germany) M.Sc in Electrical Engineering and Information (TUM, Germany) Research focuses on haptic communication , teleoperation , and scene understanding for robots. Key contributions include: Developing SRI-Graph for scene-robot interaction Creating ISSC for semantic shared control Advancing depth estimation in adverse weather Designing HPF-SLAM for visual navigation His publications span top conferences like ICRA , IROS , and RO-MAN , addressing topics in haptic teleoperation , sensor fusion , and collaborative robotics . Supervises thesis projects including Diffusion Model-based Imitation Learning and Scene Graph-based Real-time Scene Understanding Collaborates on projects like Centre for Tactile Internet with Human-in-the-Loop (CeTI) and Teleoperation over 5G
