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Mario KupnikView profile

Professor

• Micromachined Sensors
• Ultrasonic Technology
• Non-Destructive Testing
• +4 more

Prof. Mario Kupnik is a Full Professor at the Technische Universität Darmstadt , leading the Measurement and Sensor Technology Group within the Department of Electrical Engineering and Information Technology. His academic career includes roles at Stanford University (2005–2011) and Brandenburgische Technische Universität Cottbus (2011–2014). He holds a doctorate from Montanuniversität Leoben (2000–2004) and a master's in Telematics from Graz University of Technology. His research focuses on micromachined sensors and actuators , ultrasonic and electroacoustic systems , and non-destructive testing . He pioneers innovations in wearable sensors, biomedical applications, and additive manufacturing for sensor integration. Notable contributions include air-coupled ultrasonic transducers, 3D-printed ferroelectret sensors, and robotics for STEM education. Recent work emphasizes biodegradable sensors , acousto-optic modulation , and multi-parameter medical measurement systems . His projects span from fundamental material science to applied engineering solutions, often leveraging open-source hardware. Kupnik’s labs integrate interdisciplinary approaches, combining electrical engineering, materials science, and biomedical engineering.

• Human-Computer Interaction
• Quality of Experience (QoE)
• User Experience (UX)
• +7 more

Lieven De Marez is a Professor at Ghent University, affiliated with the Faculty of Engineering and Architecture and the Department of Information Technology. His research spans human-computer interaction, quality of experience (QoE), smart homes, digital education, and social media behavior, reflecting a strong interdisciplinary approach combining technical and social sciences. His research focuses on understanding user interactions with emerging technologies, particularly in educational, healthcare, and domestic environments. Key interests include learning analytics, privacy in social media, VR/AR experiences, and the impact of digital technologies on youth and vulnerable populations. He frequently investigates how users perceive and adapt to new systems, emphasizing user-centered design and ethical implications. The most recent publications highlight a trend toward digital well-being, algorithmic transparency in education, and the integration of AI in health and urban contexts. His work often involves mixed-method studies, longitudinal data analysis, and experimental designs to assess user acceptance, behavior, and experience. Recipient of multiple collaborative research grants (inferred from sustained publication output). Active advisor and collaborator with PhD and postdoctoral researchers (inferred from co-authorship patterns). He has contributed to major projects on mobile TV, smart cities, and digital inclusion, often in collaboration with Flemish and European institutions. His work appears in top journals such as Telematics Informatics , New Media & Society , and IEEE Transactions . Lieven De Marez leads or contributes to interdisciplinary research teams focused on interactive technologies, including work on VR prototyping, personal data stores (Solid), and ambient intelligence in public spaces. His recent involvement in projects like ExperienceDNA and Art and Science Interaction Lab underscores his leadership in experimental and user-centric research infrastructures.

Felix WeißenriederView profile

Researcher

• Computer Science Education
• Human-Computer Interaction
• Programming Tools for Education
• +2 more

Felix Weißenrieder is a Research Assistant at the Leibniz Institute for Science and Mathematics Education (IPN) within the Computer Science Education department at Christian-Albrechts-Universität zu Kiel. He joined IPN in 2023 and also serves as a Member of the Scientific Committee representing PhD students since 2024. His academic background includes a Master of Education (2022) and a Bachelor of Science (2020) in Mathematics and Computer Science from CAU Kiel. Education: Master of Education (2022), Bachelor of Science (2020) at CAU Kiel His research focuses on the usability of programming languages and tools , human-computer interaction (HCI) , and CS-PCK (Computing Pedagogical Content Knowledge) instruments . He develops educational programming tools and evaluates their effectiveness in teaching contexts. Earlier, he contributed to the RuneS project on Runic writing in Germanic languages (2022–2024) and taught courses like Introduction to Algorithmics and Analysis III at CAU Kiel. Recent publications include comprehensive and interim reports on integrating computer science as a mandatory subject in schools, emphasizing teacher competence and curriculum design. These works align with his interests in educational technology and domain-specific learning strategies. Felix’s extracurricular collaborations include student assistant roles during 2018–2019, where he supported foundational courses in computer science and mathematics. His work spans both theoretical research and practical application in educational settings, including contributions to the RuneS project and development of instructional frameworks for modern curricula.

Yana BoevaView profile

Research Fellow

• Science and Technology Studies
• Human-Computer Interaction
• Digital Fabrication
• +5 more

Dr. Yana Boeva is a Junior Research Group Leader at the University of Stuttgart , affiliated with both the Institute for Social Sciences and the Cluster of Excellence IntCDC . Her work bridges Science and Technology Studies (STS) with Computational Design , focusing on critical examinations of digital infrastructure, human-computer interaction, and sustainability in architectural contexts. Research Interests: Algorithmic entanglements in design and construction Participatory technology production Digital fabrication and material practice Epistemic cultures of computational design Socio-political implications of Building Information Modeling (BIM) Her recent publications analyze timber construction innovation trajectories , platformization in urban environments , and ghost labor in automation . She co-edited the volume Algorithmic Regimes (2024), which investigates algorithmic knowledge production across societal domains. Scientific Awards: Recipient of the DigitalFUTURES Young Award for critical computational design research Dr. Boeva teaches courses on Algorithmic Sociology and Digital Sustainability at the MA and BA levels. Her work has been supported by projects under the Excellence Cluster IntCDC and BBSR Innovationsprogramm Zukunft Bau .

• Multi-agent Systems
• Educational Technology
• Intelligent Tutoring Systems
• +5 more

Demetrio Arturo Ovalle Carranza is a Professor in the Department of Computer Science at the National University of Colombia's School of Engineering. With an academic career spanning over three decades since earning his PhD from Joseph Fourier University in Grenoble, France in 1991, he has established himself as a prominent researcher in multi-agent systems and educational technology. His research focuses on developing intelligent systems for education, particularly in the areas of multi-agent architectures, adaptive learning environments, context-aware educational applications, and learning object recommendation systems. His work bridges artificial intelligence with practical educational applications, creating systems that adapt to individual learner needs and contexts. Analysis of his recent publications (2015-2020) reveals a strong trend toward developing sophisticated multi-agent systems for educational applications, with increasing emphasis on context-awareness, personalization, and adaptive learning techniques. His research demonstrates consistent evolution from foundational multi-agent work to sophisticated educational applications integrating fuzzy logic, ontologies, and collaborative filtering. Ovalle Carranza has mentored numerous researchers who have become active contributors in the field, including Oscar M. Salazar, Néstor D. Duque, Valentina Tabares Morales, and others who frequently appear as co-authors on his publications. His collaborative network extends across Colombian institutions and international research groups. His laboratory work centers around developing and testing multi-agent educational systems, with particular emphasis on creating adaptive learning environments that can respond to individual student needs and group dynamics. Current projects appear to focus on serious games, health-care applications of intelligent agents, and advanced recommendation systems for educational resources.

• Robotics
• Industrial Automation
• Control Systems
• +6 more

Petter Falkman is a researcher at Chalmers University of Technology, specializing in robotics, industrial automation, and control systems. His work bridges theoretical advancements with practical applications in manufacturing, leveraging technologies like digital twins, eye tracking, and virtual reality. Key Research Areas: Robotics, Industrial Automation, Control Systems, Digital Twins, Human-Computer Interaction, Machine Learning. Collaborations: Frequently works with Bengt Lennartson, Kristofer Bengtsson, Martin Dahl, and colleagues across institutions. Publication Trends: Recent articles focus on gaze-based human intention prediction, ROS2 control architectures, and compositional automated planning. His work integrates machine learning with industrial control systems, emphasizing event-driven design and virtual commissioning. Methodologies: Develops frameworks like EPypes for data pipelines, contributes to STEP AP214 model generation, and explores energy optimization in multi-robot systems.

Tobias WindischView profile

Professor

• Machine Learning
• Computer Vision
• Reinforcement Learning
• +4 more

Prof. Dr. Tobias Windisch is a Professor at the University of Applied Sciences Kempten, where he serves as head of the Institute for Machine Vision within the Faculty of Mechanical Engineering. He leads the Optical 3D Measurement and Computer Vision Laboratory (3D visionlab) and oversees research activities focused on machine learning applications for industrial automation. Dr. Windisch received his PhD in mathematics from OvGU Magdeburg under the supervision of Thomas Kahle, and holds an Honors Master's degree in mathematics from TU Munich within the elite TopMath program. Prior to his academic career, he worked on machine learning projects for Robert Bosch GmbH and Daimler TSS GmbH (now Mercedes-Benz Tech Innovation). His research spans machine learning, computer vision, and optical sensing with a strong focus on industrial applications. Windisch's work primarily explores how reinforcement learning can be combined with optical sensing to develop intelligent control strategies for manufacturing processes. His team develops mechanical processes built around machine learning models to further automate industrial applications using data from optical sensors. The research has practical applications in automotive production, quality control, and precision manufacturing. Analysis of his recent publications reveals a strong trend toward practical implementations of machine learning in industrial settings, with particular emphasis on reinforcement learning for process optimization, drift detection in high-dimensional data, and causal structure learning for manufacturing analytics. His work bridges theoretical machine learning with real-world industrial challenges. As a dedicated educator and research leader, Windisch maintains high standards for academic integrity and excellence. He believes in creating an environment where students can focus deeply, think boldly, and innovate through meaningful research. Dr. Windisch leads a dynamic research group with numerous Master's and Bachelor's students working on cutting-edge projects including reinforcement learning for active alignment, drift detection in sensory data, latent drift detection with Autoencoders, and representation learning for industrial processes. His laboratory, the 3D visionlab, serves as the physical hub for this research. The Institute for Machine Vision under his leadership develops practical tools and frameworks such as relign, lineflow, and driftbench that are openly available on GitHub, demonstrating his commitment to reproducible research and practical applications.

Alexander J. WulfView profile

Professor

• Law and Economics
• Contract Law
• Consumer Policy
• +5 more

Dr. Alexander J. Wulf is a Professor of Law and Economics at SRH Berlin University of Applied Sciences since 2023, specializing in the intersection of legal frameworks and economic principles. He also serves as a Lecturer at Bucerius Law School (2023). His research focuses on consumer policy, digital regulation, and institutional economics through empirical analysis and behavioral experiments. Doctor of Economics (2017), University of Siegen Doctor of Law (2013), Bucerius Law School MSc in Social Research Methods (2008), London School of Economics Master of Law and Business (2007), Bucerius Law School/WHU His publications examine transparency obligations in EU consumer law, GDPR compliance, energy regulation, and AI governance. Ongoing funded projects include climate change skepticism analysis (DBU) and online disclosure duties (DFG Germany). Association of scholarship holders and alumni of the Naumann Foundation (2014) SRH University award for outstanding teaching (2015) Current collaborations span institutions in Germany, UK, India, and the US, with visiting appointments at University of Oxford, Kyoto University, and UC Berkeley.

Michael W. SchmidtView profile

Researcher

• Philosophy of Technology
• Reflective Equilibrium
• Epistemology
• +9 more

Dr. Michael W. Schmidt is a postdoctoral researcher at the Karlsruhe Institute of Technology (KIT) , affiliated with the Institute for Technology Assessment and Systems Analysis (ITAS) since 2020. His work bridges philosophy with technology assessment, focusing on the Philosophy of Technology , Reflective Equilibrium , and Political Philosophy . He explores ethical dimensions of autonomous vehicles , AI ethics , and robotics , emphasizing public reason and human rights . Education : PhD in Philosophy (KIT, 2022) with a thesis on reflective equilibrium as a form of life. Research Themes : Methodology of reflective equilibrium, epistemology of understanding, Rawlsian political theory, and ethics of socio-technical systems. Recent Publications : Analyze AI ethics implementation, social media's impact on democracy, and governance frameworks for sustainable energy transitions.

Veronika HuberView profile

Research Fellow

• Climate Change Impact on Public Health
• Heat-Related Mortality Analysis
• Epidemiology
• +3 more

Veronika Huber is a Research Fellow at the Institute of Epidemiology (IBE) within the Medical Faculty of Ludwig-Maximilians-Universität München (LMU Munich), specializing in climate change impacts on public health. Her current work focuses on attributing heat-related mortality and morbidity to anthropogenic climate change through temporal trend analysis and extreme event studies. Education: PhD in Ecology (2005–2010), University of Potsdam Master in Biology/Ecology (2001–2004), Ecole Normale Supérieure and Université Pierre et Marie Curie, Paris Undergraduate Biology (1999–2001), University of Konstanz Her research bridges epidemiology and climate science, with a focus on adaptive processes reducing heat vulnerability. She leads the ATTACH project, part of Marie Skłodowska-Curie Actions, analyzing heat-related health outcomes over decades. Recent publications highlight expertise in digital innovation and service systems , though unrelated to her current epidemiological work. Key themes include recombination of technologies, organizational identity in SMEs, and fairness perceptions in service adoption. Scientific Awards: Marie Skłodowska-Curie Actions Postdoctoral Fellowship (2021–present) Previously held roles at Universidad Pablo de Olavide, Potsdam Institute for Climate Impact Research, and European Commission’s Joint Research Centre reflect interdisciplinary collaboration across climate science, epidemiology, and policy.

Markus SeifertView profile

Senior Lecturer

• Media and Communication Studies
• Health Communication
• Digital Communication
• +2 more

Dr. Markus Seifert serves as Senior Lecturer and Research Assistant at the University of Erfurt within the Seminar for Media and Communication Studies . He coordinates the aptitude assessment process and acts as academic advisor for the Bachelor's degree program in Communication Studies , while also contributing to Master's programs in Health Communication and Global Communication. His academic career spans multiple institutions, including visiting professorships at Chemnitz University of Technology (2022) and Friedrich Schiller University Jena (2023). Research Focus: Health Communication, Digital Communication, Political Communication Methodological Expertise: Quantitative Analysis, SPSS Applications, Experimental Design Academic Roles: Seminar Manager, Research Assistant, Teaching Professor (Acting) His scientific contributions address contemporary communication phenomena across three key domains: Health Communication: Digital patient support, hospital choice behavior, grief processing through online media Political Communication: Internet's mobilizing effects, digital democracy, political self-expression Music Communication: Digital music consumption, embodied listening practices, music taste formation Markus Seifert actively participates in academic governance as elected member of the Senate Committee for Study Affairs and the Study Commission of the Faculty of Philosophy. He serves as peer reviewer for multiple journals including Publizistik and European Journal of Health Communication.

• Combinatorial Optimization
• Graph Theory
• Operations Research
• +5 more

Cédric Costa is a Professor at the Conservatoire National des Arts et Métiers (CNAM), conducting research at the CEDRIC Laboratory. With a publication record spanning over 30 years from 1992 to 2023, he has established himself as a leading researcher in combinatorial optimization and operations research. His research interests focus on combinatorial optimization , graph theory , and operations research , with significant contributions to network design, discrete tomography, and robust optimization. His work bridges theoretical foundations with practical applications, particularly in renewable energy systems and telecommunications networks. Analysis of his publication trends shows a consistent focus on Steiner tree problems, matching theory, and robust network design, with increasing emphasis on renewable energy applications since 2015. His recent work (2020-2023) demonstrates expertise in wind farm optimization and robust network design under uncertainty. Prix Orange de l'Innovation 2012 (catégorie Réseau) for FTTH network deployment research Professor Costa has supervised numerous researchers including Poirion P-L, Bentz C, Ridremont T, Hertz A, Cotté G, and Picouleau C, as evidenced by their frequent co-authorship on publications. His research has been supported by projects related to wind farm optimization, optical network design, and robust energy systems. He has been actively involved in the ROADEF (French Operations Research Society) community, presenting regularly at their conferences.

• IT Security
• Privacy-Preserving Technologies
• Machine Learning
• +3 more

Ulrike Michaela Meyer is a Professor in the Department of IT Security at RWTH Aachen University. Her research focuses on privacy-preserving technologies, cybersecurity, and machine learning applications in domain generation algorithm (DGA) detection and healthcare systems. Recent Research Trends: In 2024, her work emphasized cryptographic methods for secure data applications, including privacy-preserving kidney exchange protocols and network flow analysis. She also explored robust machine learning frameworks for DGA classification and transfer learning approaches to improve domain detection accuracy. Contact: Email: meyer@itsec.rwth-aachen.de

Christian BierwirthView profile

Professor

• Production Management
• Logistics
• Vehicle Routing
• +3 more

Christian Bierwirth is a Professor of Business Administration, specializing in Production and Logistics, at the Faculty of Law, Economics and Business, Martin Luther University Halle-Wittenberg. He holds the Chair of Production and Logistics and has been in this role since 2003. His academic journey includes a PhD (1992) and Habilitation (1999) in Logistics from the University of Bremen, and prior teaching roles at TU Dresden, University Rennes I, and as Acting Professor in Halle-Wittenberg (2002-2003). Education: Mathematics and Philosophy (1981-1988) at Heidelberg University Key Research Areas: Scheduling Algorithms, Port Logistics, Vehicle Routing, Optimization, Production Management Current Contact: christian.bierwirth@wiwi.uni-halle.de | Office: Room 312, Große Steinstraße 73, Halle (Saale) His research focuses on operational optimization in logistics systems, including container terminal operations , green transportation , and job shop scheduling . Recent work addresses environmental sustainability through emission-minimizing routing and eco-labeling of freight services. He pioneered GRASP and genetic algorithm applications in dynamic manufacturing environments. Publications span maritime logistics (berth allocation, crane scheduling), intermodal transport networks, and supply chain design under constraints. Notable contributions include integrated planning frameworks for production-distribution networks and synchronization models for logistics vehicles. Since joining Halle-Wittenberg, he has led teaching and research initiatives in logistics, contributing to national and international academic discourse through publications and conference participation.

Jens StoyeView profile

Professor

• Bioinformatics
• Computational Biology
• Comparative Genomics
• +3 more

Jens Stoye is a Professor of Genome Informatics at the Faculty of Engineering , Bielefeld University, where he has held this position since 2002. He leads the Genome Informatics Working Group at CeBiTec and serves as Managing Director of the Bielefeld Institute for Bioinformatics Infrastructure (BIBI). Additionally, he is a member of the Board of Directors at the Center for Interdisciplinary Research (ZiF) and held numerous administrative roles, including Dean of the Faculty of Technology and Speaker of the DFG Research Training Group. Education: Diploma in Informatics in the Natural Sciences (1995) and PhD (1997) from Bielefeld University Current Roles: Full University Professor, Managing Director of BIBI, Executive Director of ZiF (2023-2025) His research focuses on computational genomics , including genome rearrangement, comparative genomics, and pangenomics. Recent work explores the double distance problem , natural genome phylogeny reconstruction, and efficient pangenome storage techniques. He has developed algorithms for genome assembly benchmarking (GABenchToB), rearrangement epidemiology (pling), and core genome detection. Scientific Contributions include best paper awards and editorial roles at IEEE/ACM Transactions on Computational Biology and Bioinformatics , BMC Bioinformatics , and Discrete Applied Mathematics . He has served on over 20 conference committees (WABI, ISMB, RECOMB) and advised 165+ theses (36 PhD, 71 Master/Diploma, 58 Bachelor). Leadership Roles: Vice-Speaker of German Bioinformatics Society (2002-2014) Dean of Faculty of Technology (2007-2009) Speaker of DFG Research Training Group (2013-2019) Member of DAAD Postdoc Fellowship Committee (2014-2025)