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Nils WildeView profile

Assistant Professor

• Robotics
• Autonomous Systems
• Human-Robot Interaction
• +16 more

Nils Wilde is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, Halifax, Canada. He specializes in robotics, AI, and human-computer interaction, with a focus on cognitive robotics, multi-robot systems, and human-robot interaction. His research integrates planning, optimization, control, and machine learning to develop interactive and adaptive robotic systems. His educational background includes: BSc and MSc in Computer Science or related field from Technical University Berlin (2012, 2016) PhD in Electrical and Computer Engineering from the University of Waterloo (2016–2020), co-supervised by Dana Kulić and Stephen L. Smith Postdoctoral Fellow at TU Delft (2021–2024) in the Autonomous Multi-Robots Lab with Javier Alonso-Mora Postdoctoral Fellow at the University of Waterloo’s Autonomous Systems Lab (until August 2021) Nils Wilde's research centers on enabling robots to learn from human feedback and adapt to user preferences in dynamic environments. His work spans preference learning , multi-objective planning , motion planning , task assignment in multi-robot systems , and human-robot interaction . He develops algorithms that allow robotic systems to balance competing objectives such as efficiency, safety, and user comfort, particularly in service robotics applications like hospitals and industrial facilities. His recent publications (2020–2024) demonstrate a strong trajectory in top robotics venues (T-RO, RA-L, ICRA, IROS, CoRL, CDC, WAFR), with a focus on multi-objective optimization, dynamic vehicle routing, sensor scheduling, and learning user preferences. A key theme is improving the quality of service in robotic systems by optimizing metrics like waiting times, statistical distinctness of plans, and user satisfaction, often through novel cost functions and learning frameworks. Nils is actively building a new robotics lab at Dalhousie University, with funded PhD positions and an interdisciplinary research environment. He is involved in organizing academic workshops, such as the upcoming 2025 RSS workshop on Multi-Objective Optimization and Planning in Robotics. He mentors prospective students and encourages applications from diverse backgrounds.

• Autonomous Vehicles
• Intelligent Transportation Systems
• Robotics
• +7 more

Miguel Ángel Sotelo Vázquez is a full Professor at the University of Alcalá, leading the INVETT Research Group (Intelligent Vehicles and Traffic Technologies). He holds the Department of Automatic Control and specializes in autonomous systems, particularly in path planning, sensor fusion, and human-vehicle interaction. His research integrates machine learning, robotics, and control theory to address challenges in intelligent transportation systems. He earned his Ph.D. in 2001 with a thesis on autonomous vehicle navigation in partially known environments. His work emphasizes real-world deployment, explainable AI, and safety-critical systems. Recent projects focus on lane change prediction, pedestrian behavior modeling, and cybersecurity for autonomous systems. Key contributions include neuro-symbolic frameworks for decision-making, real-time multi-physics field reconstruction, and cross-cultural studies of pedestrian interactions. He collaborates internationally on urban mobility resilience and hydrogen refueling infrastructure. Research Highlights : Development of knowledge graph-based prediction architectures Experimental validation of human-vehicle interaction in VR environments Creation of the SCOUT trajectory prediction framework

• Industrial Automation
• Control Systems
• Industry 4.0 Technologies
• +7 more

Lisa Ollinger is a Professor of Production Automation at Ulm University of Applied Sciences (Technische Hochschule Ulm), where she has been serving since October 2019. She teaches courses in Automation Technology 1 and 2 for the Business Engineering program, Industrial Automation for the Digital Production program, and Flexible Automation for the Systems Engineering and Management Master's program. Her educational and professional background includes: Technology Leader for Engineering Projects in Automation and Digitalization at Procter & Gamble GmbH (2014-2019) Researcher at the German Research Center for Artificial Intelligence (DFKI) in the Innovative Factory Systems research area (2012-2014) Research Assistant at TU Kaiserslautern in the Production Automation department (2009-2011) Professor Ollinger's research focuses on the intersection of industrial automation and digital transformation. Her work explores how emerging technologies like Industrial Internet of Things, cyber-physical systems, and digital twins can revolutionize manufacturing and logistics processes. She investigates flexible production systems that can adapt to changing requirements through skill-based engineering approaches and novel communication architectures using OPC UA standards. Her research also extends to robotics applications, particularly industrial robotics and autonomous mobile robots, often leveraging ROS (Robot Operating System) frameworks. Her recent publications demonstrate a strong focus on practical implementations of Industry 4.0 concepts, particularly in warehouse management and production systems. She examines how digital twin technology can enhance logistics operations and how agent-based systems can improve manufacturing resilience. A common thread in her work is the application of OPC UA communication standards to create more flexible, interoperable industrial systems. Professor Ollinger holds significant administrative roles at THU: Dean of the Master's program in Systems Engineering and Management Member of the University Council Member of the Institute for Manufacturing Technology and Materials Testing (IFW) Founding Ambassador for Startup South She maintains active professional connections through ResearchGate, LinkedIn, and ORCID, reflecting her commitment to academic collaboration and knowledge sharing in the field of industrial automation and digital manufacturing.

David AbbinkView profile

Professor

• Human-Robot Interaction
• Haptics
• Shared Control
• +7 more

Professor David Abbink is a Full Professor of Haptic Human-Robot Interaction at Delft University of Technology, holding a joint appointment between the Department of Cognitive Robotics in the Faculty of Mechanical Engineering and Industrial Design Engineering since November 2023. He founded the Delft Haptics Lab and co-founded the Cognitive Robotics Department in 2017. Abbink leads the transdisciplinary research and innovation centre FRAIM, which was awarded the prestigious NWO Stevin Premie (Dutch Nobel Prize equivalent) in June 2024. Trained as a mechanical engineer specializing in biomechanics, Abbink's research focuses on human behavior adaptations when interacting with autonomous systems. He has published over a hundred scientific articles on human-robot interaction, haptics, shared control, tele-operation, driver assistance systems, and sensorimotor control. His research has been funded by industry partners (Nissan, Boeing, Renault), RVO (Brightsky project 2022-2026), and the Dutch Science Foundation NWO through personal grants (VENI 2010-2014, VIDI 2015-2019). Abbink's recent work centers on worker-robot relations as an academic focus, collaborating with organizations like Erasmus Medical Centre for nursing work, Schiphol and KLM for baggage handling, and KLM Engine Repair Services for maintenance work. He also serves as scientific director for the Centre for Meaningful Human Control, launched in October 2024. His work bridges engineering, social sciences, and practical applications to responsibly shape the future of work with emerging robotic capabilities. NWO Stevin Premie (2024) Best IEEE SMC journal paper on Cybernetics (2019) Top 25 scientific talents according to New Scientist (2015) Best teacher of Faculty 3mE (2013, 2014) Best teacher of Department of BioMechanical Engineering (seven consecutive years) Abbink has supervised over 110 MSc students and 11 PhD students. His educational contributions include developing the Master Programme in Robotics at TU Delft and receiving international recognition for his course 'The Human Controller.' He is also a prominent science communicator, featured on national television, radio, and major Dutch newspapers, and has delivered lectures at venues like The Royal Institution and Lowlands Festival. Despite his academic commitments, Abbink maintains a drummer persona, having recorded four albums and performed over 400 shows across three continents between 1999-2014.

Kaidi YangView profile

Assistant Professor

• Intelligent Transportation Systems
• Traffic Flow Theory and Control
• Multimodal Transportation Systems
• +5 more

Kaidi Yang is an Assistant Professor at the National University of Singapore (NUS) in the Department of Civil and Environmental Engineering, specializing in Intelligent Transportation Systems and related fields. He holds a PhD from ETH Zurich (2019), an M.Sc. in Control Science and Engineering from Tsinghua University (2014), and dual bachelor’s degrees in Automation and Mathematics from Tsinghua University (2011). His research focuses on advancing traffic control, connected/automated vehicles, shared mobility systems, and data privacy in transportation. He has contributed to developing algorithms for efficient traffic signal control, platooning coordination, and privacy-preserving data sharing in transportation networks. Education: Ph.D., Civil and Environmental Engineering (Transportation), ETH Zurich, 2019 M.Sc., Control Science and Engineering, Tsinghua University, 2014 B.Sc./B.Eng., Dual Degrees in Pure/Applied Mathematics and Automation, Tsinghua University, 2011 Yang has received prestigious awards including the Swiss National Science Foundation’s Postdoc Mobility Fellowship (2021–2022) and the IEEE ITS Conference Best Student Paper Award (2020). He serves as an Associate Editor for the IEEE Conference on Intelligent Transportation Systems (2024). His work bridges theoretical advancements in operations research, robotics, and machine learning with practical applications in urban mobility systems. Recent efforts emphasize integrating privacy-preserving techniques into traffic management and optimizing mixed-autonomy platoon control.

• Global Navigation Satellite Systems (GNSS)
• Autonomous Systems
• Sensor Fusion
• +4 more

Patrick Henkel is a Professor at the Technical University of Munich (TUM) affiliated with the TUM School of Engineering and Design and the Chair of Communication and Navigation. He holds a professorship in Satellite Geodesy under Prof. Hugentobler. His research focuses on advanced positioning technologies, including Global Navigation Satellite Systems (GNSS), autonomous systems, and sensor fusion. He develops algorithms for precise positioning in challenging environments such as urban areas, alpine regions, and indoor spaces. His work also extends to environmental applications, such as snow hydrology and climate monitoring using GNSS signals. Henkel’s contributions include innovations in real-time kinematic (RTK) positioning, UAV navigation, and multi-sensor integration for robotics and autonomous vehicles. His research is supported by collaborations with industry and academic partners, addressing both theoretical and applied challenges in geodesy and navigation. Henkel leads projects on GNSS signal processing, satellite-based environmental monitoring, and autonomous driving technologies. He has contributed to the Galileo HAS service and developed methodologies for snow water equivalent estimation using multi-frequency GNSS signals. His expertise spans hardware-software co-design for navigation systems and algorithm optimization for high-precision positioning in dynamic environments. He actively publishes in top-tier journals and conferences, with a focus on advancing the reliability and accuracy of navigation systems across various domains. His advising and grants include funding for projects on sensor fusion, UAV-based measurements, and satellite receiver development. He collaborates with teams at TUM’s Navigation Lab and the Professur für Satellitengeodäsie, contributing to both academic and industrial applications. His work on low-bandwidth RTK dissemination and laser-tracker verified UAV positioning highlights his commitment to bridging theoretical advancements with real-world implementation.

Brett J. BorghettiView profile

Professor

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +12 more

Dr. Brett J. Borghetti is a Professor of Computer Science in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), Graduate School of Engineering and Management, Wright-Patterson AFB, OH. He was promoted to Professor in July 2022, following prior appointments as Associate Professor (2017) and Assistant Professor (2008/2013). His expertise lies in artificial intelligence, machine learning, deep learning, cybersecurity, and human-machine teaming. Education: Ph.D. in Computer Science, University of Minnesota, Twin Cities (2008) M.S. in Computer Systems, Air Force Institute of Technology (1996) B.S. in Electrical Engineering, Worcester Polytechnic Institute (1992) Dr. Borghetti's research focuses on applying machine learning to physical science sensors (hyperspectral, seismic, RF), cybersecurity, and enhancing human-machine team performance. He teaches graduate courses in machine learning, AI, data security, and algorithm design, and advises numerous MS and PhD students in areas such as sensor exploitation, cognitive workload, and cyber situational awareness. His recent publications demonstrate strong trends in deep learning for multimodal sensor fusion, nuclear security, and neuroergonomics. Scientific Awards: AETC Educator of the Year (2021, Civilian) AFIT Ezra Kotcher Teaching Award (2021) AFIT Teaching Excellence Award (2019) AF STEM Outstanding Science and Educator Award (2015) Multiple Eta Kappa Nu Outstanding Instructor Awards Air Force Meritorious Service Medal and other military honors Dr. Borghetti has advised numerous graduate students and led research projects with significant funding and applications in defense and national security. He has directed research in AI-driven sensor analysis, cyber defense systems, and adaptive automation. His work often involves collaboration with national labs and DoD agencies. He has contributed to major research initiatives in human factors, cyber intruder detection, and machine learning for operational environments. Labs and Research Teams: His work is associated with AFIT's research in cyber security, sensor exploitation, and human-machine systems. He collaborates with teams working on the Cyber Intruder Alert Testbed (CIAT), neuroergonomic modeling, and machine learning for defense applications.

Samuel LederView profile

Researcher

• Robotics
• Architectural Design
• Computational Design
• +5 more

Samuel Leder is a doctoral researcher at the Institute of Computational Design and Construction (ICD) under the Cluster of Excellence IntCDC at the University of Stuttgart. His work focuses on the integration of robotics and architectural design, particularly in developing distributed robotic systems for timber construction. He has been actively involved in research projects such as RP 19-1 – Robotic Kinematic System for Parallel Construction and RP 19-2 – Co-Design for Distributed Cooperative Multi-Robot Systems . Additionally, he serves on the Equal Opportunity Commission at ICD. Bachelor of Design in Architecture (summa cum laude), Washington University in St. Louis Bachelor of Applied Science in Systems Science and Engineering (magna cum laude), Washington University in St. Louis MSc in Architecture via the Integrative Technologies and Architectural Design Research (ITECH) program, University of Stuttgart Samuel’s research explores the synergies between agent-based modeling , robotic systems , and architectural design . His work aims to create minimal robotic machines capable of constructing complex spatial assemblies, particularly with timber structures . He investigates the co-design of robots and the structures they build, emphasizing modular systems and kinematic behaviors . Recent publications highlight advancements in digital twins , adaptive assembly , and human-robot collaboration for timber construction. The 15 most recent articles reveal trends in collective robotic construction , agent-based modeling , and material-robot interaction . These works emphasize timber fabrication , modular systems , and interactive simulation for large-scale construction tasks. Key sub-fields include adaptive assembly , cyber-physical systems , kinematic control , and human-guided robotics . Scientific Awards: German Academic Exchange Service (DAAD) Award for Outstanding Achievement Deutschlandstipendium Samuel’s research is conducted within the ICD at University of Stuttgart , where he collaborates on the Wood Building Systems for Distributed Robotics associated project. His work bridges architecture , robotics , and computational design , aiming to redefine on-site construction methodologies through innovative robotic systems.

• Machine learning
• Artificial intelligence
• Big data analytics
• +8 more

Gianluca Setti is a Full Professor at the Department of Electronics and Telecommunications (DET) at Polytechnic University of Turin, where he has been serving since 2017. He previously held positions at the University of Ferrara from 1997 to 2017. His institutional roles include being the Contact Person for the Research Quality Evaluation process, Member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory, and Member of the University Quality Assurance Committee. He serves as Editor-in-Chief of the Proceedings of the IEEE, the first non-US editor to hold this position. Dr. Setti's research spans multiple interdisciplinary fields including machine learning, artificial intelligence, big data analytics, Internet of Things, biomedical signal processing, power electronics, and electromagnetic compatibility. His work bridges theoretical foundations with practical applications, particularly focusing on compressed sensing, neural networks, and circuit design for specialized applications. His research has significant implications for healthcare, sustainable infrastructure, and next-generation electronics. His publication record reveals a consistent trajectory from foundational work in chaotic systems and neural networks to contemporary applications in AI, IoT, and edge computing. The most recent publications demonstrate his focus on anomaly detection at the edge, neural oracles for biosignal processing, and power electronics innovations. His work shows strong integration between theoretical signal processing and practical circuit implementation. 1998 Caianiello prize (best Italian Ph.D. thesis on Neural Networks) IEEE Fellow (2006) IEEE Circuits and Systems Society Distinguished Lecturer (2004, 2015) 2004 IEEE CAS Society Darlington Award 2013 IEEE CAS Society Meritorious Service Award 2013 IEEE CAS Society Guillemin-Cauer Award 2019 IEEE Transactions on Biomedical Circuits and Systems best paper award Multiple best paper awards at major conferences including ECCTD2005, EMCZurich2005, ISCAS2011, PRIME2019, and EMCCOMPO2019 Dr. Setti has supervised numerous PhD students across various research domains including electromagnetic compatibility, signal and power integrity, communication networks, mechatronics and robotics. His research is supported by significant funding including national PRIN projects, EU-funded JTI-ECSEL initiatives, and commercial contracts. He leads the VLSILAB Group at DET, focusing on circuit architectures, embedded systems, and AI applications. His current projects include DECORI (anomaly detection), StorAIge (embedded storage for AI), PROGRESSUS (energy infrastructure), CONNECT (smart grid), and CONVERGENCE (wearable healthcare applications).

• Smart Communities
• Next-generation Mobility Systems
• Unused Biomass Utilization Technologies
• +6 more

Hiroshi Onoda is a Professor at the Faculty of Science and Engineering and Graduate School of Environment and Energy Engineering , Waseda University. His work focuses on environmentally friendly design , LCA , resource recycling , renewable energy systems , and smart communities . He holds a Doctor of Engineering from Waseda University and has held various leadership roles, including Dean of the Graduate School of Environment and Energy since 2022. Education : PhD in Mechanical Engineering (Waseda University, 2006) Professional Leadership : Environment Energy Advisor (Saitama Prefecture, 2010–2015), Director of Waseda Environmental Institute Co., Ltd. (2011–2017) Research Themes : Onoda’s research spans smart waste management , EV integration , CO2 reduction , and renewable energy deployment . He emphasizes AI and IoT applications in waste systems, decentralized energy solutions for developing nations, and decarbonization strategies for urban and industrial contexts. Publication Trends : His recent work addresses AI-driven recycling optimization , community-level GHG inventories , and DAC-based fertilizer systems , reflecting his commitment to circular economy and low-carbon mobility . Key sub-fields include robotic waste sorting , decentralized energy planning , and plastic recycling economics . Scientific Awards : Environment Minister’s Commendation (2024) Best Paper Award, ICET4SD (2021) JSME Environment Division Award (2014) JSME Research Encouragement Award (2018) Grants and Projects : Onoda has led nationwide evaluations of low-carbon industrial zones , hydrogen utilization , and plastic recycling policies . He contributes to Japan’s decarbonization roadmap through roles in NEDO and Ministry of the Environment committees. Labs and Initiatives : He founded the Waseda Environmental Research Institute, Inc. (2003) and drives innovation through the BRIDGE LIFE Platform for smart communities in Japan.

Bruce A. MaxwellView profile

Teaching Professor

• Computer Vision
• Robotics
• Computer Graphics
• +3 more

Bruce A. Maxwell is a Teaching Professor and Assistant Director of Computing Programs at Northeastern University’s Seattle Campus, following roles as Chair of the Computer Science (CS) Department at Colby College (2013–2020) and leadership in establishing the Khoury College MS CS Align Program at the Roux Institute (2020–2022). His academic journey includes affiliations with Northeastern’s Seattle Campus and ongoing collaboration with Colby CS as a research scientist. He specializes in Computer Vision, Robotics, Computer Graphics, Game Design, and Data Analysis, with notable contributions to concussion management research through the Maine Concussion Management Initiative (MCMI), focusing on sports-related injury analysis and symptom monitoring. His research spans over two decades, with significant work in human-robot interaction, autonomous systems, and educational technology. Notable projects include developing tools for real-time shadow removal in autonomous driving contexts and analyzing cognitive outcomes in student-athletes post-concussion. Maxwell has authored over 50 peer-reviewed publications, emphasizing interdisciplinary approaches bridging computer science, sports medicine, and educational policy. Teaching innovations include integrating thematic elements (e.g., Lord of the Rings) into CS1 coursework and advocating for writing in computer science curricula. He maintains active roles in academic service, including SIGCSE conference contributions and panel discussions on gender equity in tech education. Education: Ph.D. in Robotics from Carnegie Mellon University (1996), M.Phil. in Engineering from Cambridge University (1993). Awards: Recognized for pedagogical contributions but no named awards listed in provided materials. Labs/Teams: Collaborates with the Maine Concussion Management Initiative and Khoury College’s Align Program team.

Jackie ChaView profile

Assistant Professor

• Human Factors and Ergonomics
• Healthcare Systems
• Surgical Robotics
• +4 more

Dr. Jackie Cha serves as an Assistant Professor in the Department of Industrial Engineering within Clemson University's College of Engineering, Computing and Applied Sciences. Her research bridges human factors engineering with healthcare innovation, focusing on surgical robotics, physiological signal analysis, and wearable medical technologies to enhance clinical performance and safety. Her academic foundation includes advanced degrees from leading institutions: Ph.D. in Industrial Engineering from Purdue University M.S.E. in Biomedical Engineering from the University of Michigan B.S.E. in Biomedical Engineering from the University of Michigan Cha's research program centers on quantifying human performance in high-stakes medical environments through sensor-based metrics. She investigates nontechnical skills in surgical teams, mental workload during robotic procedures, and ergonomics of exoskeleton implementation in operating rooms. Her work integrates physiological signals, eye-tracking, and proximity sensors to develop objective assessment tools for surgical proficiency and team dynamics. Analysis of her 2023-2025 publications reveals consistent thematic focus on human-robot collaboration in surgery, with emerging trends in AI-driven workload detection (s-DResNet), neural correlates of surgical expertise, and environmental factors affecting robotic surgery outcomes. Key methodological approaches include scoping reviews of human-robot interaction metrics, mixed-methods evaluations of exoskeleton efficacy, and extended reality applications for nontechnical skills training. She leads the ECHO Lab (Engineering for Clinical and Human Outcomes) at Clemson, which develops translational solutions for healthcare human factors challenges. Her lab's work spans from fundamental physiological signal analysis to applied interventions in operating rooms and emergency medical settings.

Abdessattar AbdelkefiView profile

Professor

• Dynamics and Vibrations
• Aeroelasticity
• Fluid Structure Interaction
• +6 more

Dr. Abdessattar Abdelkefi is a Professor in the Department of Mechanical & Aerospace Engineering at New Mexico State University's College of Engineering. He directs the Nonlinear Dynamics & Energy Harvesting Laboratory (NDEHL) and holds a Ph.D. from Virginia Tech (2012). His research bridges dynamics, fluid-structure interactions, and renewable energy, with applications in drones, MEMS, and energy harvesting. Research Focus Dr. Abdelkefi's work spans Dynamics & Vibrations , Aeroelasticity , and Robotics & Controls , emphasizing nonlinear phenomena and energy conversion. Key areas include: Vortex-induced vibrations for renewable energy harvesting Bio-inspired drone design and aerodynamic optimization Nanoscale sensors and microgyroscopes Flexoelectric and piezoelectric material applications Publication Trends Recent articles (2019-2020) focus on experimental/theoretical synergy in energy harvesting (galloping, vortex-induced, piezoelectric) and bio-inspired UAV design. Over 70% involve computational modeling validated with wind tunnel/field tests, highlighting innovations in broadband energy capture and nano/microsystem efficiency. Awards & Honors 2020: Outstanding Research Professor (MAE Academy) & Teaching-Research-Service Synergy Award (College of Engineering) 2019: Early Career Award (NMSU Research Council), Outstanding Research Professor, Los Alamos NMC Faculty Appointee 2013: Best Paper Award from Theoretical & Applied Mechanics Letters 2011–2012: Graduate Scholarships (Virginia Tech) Laboratory & Advising NDEHL researches vibration-based energy harvesting, nonlinear dynamics, and drone aerodynamics. Dr. Abdelkefi mentors graduate students in experimental/computational projects, though specific advisees are unnamed in available data.

Gerald UrbanView profile

Professor

• Biomedical Microtechnology
• Sensorics
• Microsystem Technology
• +7 more

Prof. Dr. Gerald Urban is a distinguished Professor at the Institute for Microsystems Technology (IMTEK) within the Faculty of Engineering at the University of Freiburg, Germany. With over three decades of academic and research experience, he has established himself as a leading expert in biomedical microtechnology and sensor systems. His career spans prestigious institutions including the Vienna University of Technology and collaborations with major research centers worldwide. His educational journey includes: 1973: Graduated from Sigmund Freud Gymnasium in Vienna 1979: Completed studies in Technical Physics at Vienna University of Technology 1985: Earned Doctorate (Dr.-Ing.) with distinction (Summa cum Laude) from Vienna University of Technology 1994: Completed habilitation in Sensorics Prof. Urban's research focuses on the development and application of miniaturized integrated sensors for clinical and industrial applications. His work bridges the gap between fundamental materials science and practical medical devices, with particular emphasis on biomedical microtechnology , electrochemical biosensors , and organ-on-chip systems . His team has pioneered innovations in point-of-care diagnostics, therapeutic drug monitoring, and micro energy harvesting technologies. The research group maintains strong collaborations with clinical partners to ensure translational impact of their technological developments. Analysis of Prof. Urban's recent publications reveals a clear trajectory toward increasingly sophisticated multiplexed sensing platforms that integrate CRISPR-based diagnostics with electrochemical detection systems. His work demonstrates growing emphasis on point-of-care applications, with particular focus on making complex diagnostic capabilities accessible outside traditional laboratory settings. The integration of additive manufacturing techniques with sensor technology represents another significant trend in his recent work, enabling customized microreactor and organ-on-chip platforms. Among his notable scientific achievements: Stefan Schuy Prize for Biomedical Engineering (1990) AVL-List Prize (1993) Best Poster at Eurosensors (1993) Hoechst-Price (1994) Corresponding member of the Austrian Academy of Sciences (2010) EAMBES-Fellow (2018) Prof. Urban has successfully secured substantial research funding throughout his career, with accumulated third-party funding reaching approximately 5 million euros between 1986-1995. He has established multiple spin-off companies including Otto Sensorenfabrikationsgesellschaft (1985), Biosensor GnbR (1994), and Jobst Technologies GmbH (2002), demonstrating his commitment to translating research into practical applications. His leadership extends to major research initiatives including the excellence initiative "µMAT" and the graduate school "PolyMIC". At the University of Freiburg, Prof. Urban leads a vibrant research group within the Institute for Microsystems Technology, which forms part of the larger BrainLinks-BrainTools and BIOSS research clusters. His laboratory maintains state-of-the-art facilities for microsensor fabrication, including cleanroom access through the WebFab service center. The research environment benefits from strong connections with the Freiburg Material Research Center (FMF) and the Freiburg Institute for Advanced Studies (FRIAS), where he served as an Internal Fellow (2008-2010).

• Technology Assessment
• Ethics of Technology
• Philosophy of Technology
• +5 more

Armin Grunwald serves as Head of the Institute for Technology Assessment and Systems Analysis (ITAS) at Karlsruhe Institute of Technology (KIT) and Head of the Office of Technology Assessment at the German Bundestag (TAB). Since 2007, he has held the Chair of Philosophy and Ethics of Technology at KIT's Institute of Philosophy, building on his previous professorship at the University of Freiburg (1999-2007). His leadership positions include membership in the German Ethics Council, the National Advisory Board for Repository Search, and the Science-Policy Advisory Board of ETH Zürich. Grunwald's research focuses on the theory and practice of technology assessment, ethics of technology, sustainability concepts, and digital transformation. His work explores humanity's relationship with technology, particularly examining how digitalization challenges human self-understanding and autonomy. He investigates philosophical questions surrounding artificial intelligence, anthropocentrism in the Anthropocene, and the ethical dimensions of technological progress. His extensive publication record demonstrates consistent scholarly output across multiple disciplines. Recent work shows increasing focus on AI ethics, the philosophical implications of digital transformation, and technology assessment methodologies for addressing grand societal challenges. His publications span philosophical analyses, empirical studies on technology implementation, and policy-relevant assessments for governmental bodies. Grunwald has supervised numerous doctoral students across interdisciplinary fields including energy transition, AI governance, urban sustainability, and technology ethics. His leadership extends to directing major research initiatives through ITAS, which serves as Germany's parliamentary technology assessment body providing scientific advice to the Bundestag on emerging technologies and their societal implications.