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Nicola MarsdenView profile

Research Professor

• Gender and IT
• Design Science Research
• Participatory Processes
• +5 more

Prof. Nicola Marsden is a Research Professor of Socioinformatics at Heilbronn University's Faculty of Computer Science. She leads the Socioinformatics Lab and holds roles such as spokesperson for the Research Unit on Social, Behavioral, and Economic Sciences in the Baden-Württemberg Graduate School. Her expertise spans Gender and IT, Design Science, and participatory processes. She has served as dean, gender equality officer, and consultant in tech management. Education: PhD from Saarland University (2001), Diplom in Psychology (1994). Research focuses on gender equity in tech, human-centered design, and autonomous systems. She leads projects like MAKEitREAL (makerspaces for girls) and GEWINN (gender equality in informatics). Over 200 publications address HCI, AI ethics, and inclusive tech design. Active in committees like BW-CAR and the Gi's Participation Group. Key initiatives include feminist living labs, co-design for AI fairness, and virtual reality gender stereotypes. Advises startups like Edkimo and serves on international boards for gender equity in tech. Her work bridges academia and industry, emphasizing ethical innovation and societal impact.

Wanja WellbrockView profile

Professor

• Supply Chain Management
• Sustainability
• Circular Economy
• +4 more

Prof. Dr. Wanja Wellbrock is a Professor at Heilbronn University's Faculty of Economics, focusing on Supply Chain Management, Sustainability, and Circular Economy. She leads the cooperative doctoral program with Tallinn University of Technology, focusing on 'Innovative Supply Chain Management in the Context of Industry 4.0 and Sustainable Management.' Her research spans funded projects like the 'Emission-free campus transport' (€200,000) and collaborations with organizations such as Hendricks, Rost & CIE and Lumics GmbH. Her academic roles include membership in the Senate Committee for Research, Transfer and Innovation, the Ethics Committee, and the Contact Point against Racism. She supervises doctoral students at the Schwäbisch Hall campus and actively contributes to international conferences and journals, including the 'Supply Management' symposium and 'GSI Journals Serie C.' Key research themes include sustainable procurement, risk management in supply chains, and digital technologies in logistics. Recent work explores circular economy innovations, cross-cultural communication, and the environmental impact of consumer choices. Research Collaborations: Philips University of Marburg (Innovative Supply Chain Management) Lumics GmbH (Process Orientation and Disruption Management) Grants: €200,000 from the Baden-Württemberg Ministry for 'Emission-free Campus Transport.' Her publications address sustainability in various sectors, including automotive, construction, and retail, with a focus on practical case studies and policy implications.

Dieter TrautzView profile

Professor

• Sustainable Agriculture
• Organic Farming
• Crop Quality Analysis
• +4 more

Prof. Dr. Dieter Trautz is a retired professor at the Faculty of Agricultural Sciences and Landscape Architecture at Osnabrück University of Applied Sciences. His career includes academic roles at Christian-Albrechts University Kiel (1982-1988), TU Berlin (1988-1989), and the Kirgizian Agrarian Academy (1998-2000). He focuses on sustainable agriculture, organic farming systems, and precision farming technologies. Education: Studied Agricultural Sciences at Christian-Albrechts University Kiel (1976-1982), PhD in 1987. Research spans crop quality, organic-mineral fertilizers, intercropping, and climate change impacts. He has collaborated internationally in over 20 countries, including projects in Russia, China, and Uganda. Key research areas include: Sustainable intensification of farming systems Organic cultivation of cereals, soybeans, and potatoes Precision farming technologies for organic agriculture Climate-resilient urban agriculture Technology transfer between conventional and organic practices Projects include the MuP project (reducing fertilization in water protection areas) and HerbfreiErbAB (sensor-based mechanical weed control). Active in international research networks and capacity building in developing regions.

• Software Engineering
• Machine Learning Operations (MLOps)
• Cyber-Physical Systems
• +4 more

Prof. Dr. Klaus Schmid is a Professor in the Department of Software Systems Engineering at the University of Hildesheim, part of the Faculty of Mathematics, Natural Sciences, Economics, and Computer Science. His research focuses on Machine Learning Operations (MLOps), software product lines, adaptive systems, and variability modeling. He leads projects such as EXPLAIN and ReGaP, emphasizing explainable AI and industrial MLOps integration. His work addresses challenges in Cyber-Physical Production Systems (CPPS), including data management, model calibration, and domain knowledge integration. Key research interests include MLOps architecture design, variability modeling transformations (e.g., UVL to IVML), and incremental verification techniques for software product lines. He has published extensively in venues like IEEE ETFA, IEEE Software, and SPLC conferences. Notable achievements include a Best Paper Award for work on control patterns in self-adaptive systems. Collaborations with industry partners highlight his focus on bridging academic research and practical industrial applications. Prof. Schmid’s contributions extend to tool development, such as EASy-Producer for variability-aware software ecosystems, and frameworks for environment modeling in adaptive systems. His research addresses both foundational challenges (e.g., syntax-preserving slicing) and applied topics like MLOps platform comparisons and industrial case studies in Industry 4.0.

Hendro WicaksonoView profile

Professor

• Data-Driven Approaches
• Causal AI
• Explainable AI
• +5 more

Prof. Hendro Wicaksono is a Professor of Data-Driven Industrial Systems at the School of Business, Social & Decision Sciences, Constructor University Bremen gGmbH. His expertise lies in applying AI and data-driven methods to enhance decision-making in complex industrial systems. He holds a Dr.-Ing. from Karlsruhe Institute of Technology (Germany) and M.Sc./B.Sc. degrees from German and Indonesian institutions. Research Interests : Focuses on causal AI, explainable AI, digital twins, sustainable industrial systems, and smart cities. His work integrates machine learning with domain-specific challenges in supply chains and energy management. Projects : Led over 10 funded projects including Delfine (accelerating energy transition), Talenta (digital asset management), and xAgri (agri-food supply chain analytics). Collaborates with global partners like Stadtwerke Trier and JetBrains. Teaching : Courses include Data Management in Industry 4.0, Production Planning, and Smart Cities. Recently on sabbatical in Spring 2023. Students : Supervises 20+ PhD/Master students researching topics like causal ML in software projects, EV adoption modeling, and blockchain logistics. Affiliations : Visiting Professor at University of Exeter, Adjunct Professor at Sebelas Maret/Airlangga Universities (Indonesia), and Academic Leader at Bandung Institute of Technology.

Daniel LaumannView profile

Researcher

• Physics Education
• Science Education
• Educational Technology
• +4 more

Dr. Daniel Laumann is a faculty member at the University of Münster, affiliated with the Department of Physics within the Faculty of Mathematics and Natural Sciences. His primary research focuses on physics education innovation, particularly the integration of digital tools and technologies into teaching. He has actively contributed to advancing methodologies such as augmented reality (AR) and mixed reality (MR) in laboratory settings, mobile learning strategies, and interdisciplinary approaches combining physics with art. His work emphasizes enhancing student engagement through interactive simulations, BYOD (Bring Your Own Device) initiatives, and conceptual understanding in magnetism and optics. Dr. Laumann has published extensively in journals like Physics Education , Journal of Science Education and Technology , and Frontiers in Education , reflecting his commitment to evidence-based pedagogy. He collaborates widely with colleagues in physics education, psychology, and engineering to design effective learning environments. Education: While specific academic degrees aren’t listed in the text, his title 'Dr.' indicates a PhD in Physics or a related field. Research Interests: His work spans educational technology (e.g., AR for polarization experiments), mobile device integration in STEM education, and cognitive aspects of learning (e.g., empathizing/systemizing traits in students). He also explores interdisciplinary projects linking physics principles with artistic light installations, aiming to broaden public engagement with science. Key Projects: Leading initiatives like the MiReQu project (Mixed Reality Learning Environments for Quantum Technologies) and studies on BYOD impacts in classrooms. He co-developed tools such as the Light Spectrum Analyzer app and smartphone-based magnification devices. Grants & Awards: No specific grants or awards are mentioned in the provided texts. Labs/Teams: Actively involved in the Physics Education Research Group at the University of Münster, collaborating with institutions like the Deutsche Physikalische Gesellschaft (DPG) on curriculum development and innovation.

• Business Process Management
• Process Mining
• Process Analytics
• +4 more

Hajo A. Reijers is a Professor at the University of Utrecht, Netherlands, with a former affiliation at Vrije Universiteit Amsterdam. His research focuses on Business Process Management (BPM), Process Mining, and Robotic Process Automation (RPA), emphasizing practical applications in healthcare, organizational processes, and human-computer interaction. He contributes to developing tools like SWORD for detecting workarounds and DEUCE for auditing electronic health records. His work spans algorithm development for process discovery, predictive analytics, and optimization techniques. Key areas include analyzing event logs, modeling workplace behavior, and enhancing process transparency. Reijers collaborates extensively with industry partners, addressing challenges in process automation, employee acceptance of AI, and ethical monitoring. His contributions to conferences like BPM, CAiSE, and ICIS highlight interdisciplinary approaches, combining computer science with organizational studies. Notable projects include frameworks for task mining, reinforcement learning in care processes, and pattern recognition in government transparency assessments. Research initiatives often involve cross-disciplinary teams, exploring topics like workplace well-being through process mining, decision-making support systems, and overcoming barriers to BPM adoption. His work bridges theoretical advancements with real-world impact, influencing both academic discourse and practical business solutions.

Thomas LekanView profile

Professor

• European Environmental History
• Environmental Humanities
• Wildlife Conservation
• +3 more

Thomas Lekan is a Professor of History and Environmental Studies at the University of South Carolina, holding a joint appointment in the Department of History and the School of the Earth, Ocean, and Environment. He has been a faculty member since 1999 and serves as interim coordinator of the Ann Johnson Institute for Science, Technology, and Society. His research focuses on European environmental history, the environmental humanities, and global conservation challenges, with particular attention to the Serengeti, German imperial legacies, and the Anthropocene. Lekan earned his PhD from the University of Wisconsin-Madison in 1999 and has held fellowships at institutions including Princeton University and the Rachel Carson Center. His work explores the intersections of ecology, politics, and culture, emphasizing postcolonial critiques of conservation narratives and the socio-ecological impacts of environmental policy. Education: MA (1993, University of Washington), PhD (1999, University of Wisconsin-Madison). Research interests include wildlife conservation ethics, decolonization and environmental governance, and the role of film and imagery in shaping global environmental discourses. He has authored books like Our Gigantic Zoo: A German Quest to Save the Serengeti (2020) and co-edited volumes such as Germany’s Nature: Cultural Landscapes and Environmental History (2005). Lekan’s recent projects analyze the tensions between climate change mitigation and biodiversity conservation, particularly in contested landscapes like the Mojave Desert. Scientific Awards: Multiple fellowships from the National Endowment for the Humanities, American Council of Learned Societies, and German Historical Institute. He has organized workshops on environmental baselines and participated in collaborative projects like the Rachel Carson Center’s Anthropocene studies initiative. Grants and Labs: Involved in the Max Planck Institute’s Department III working group on “The Art of Judgment,” focusing on environmental science and policy. His work bridges historical scholarship with contemporary debates on sustainability, emphasizing the need for interdisciplinary approaches to ecological crises.

Hans-Peter PiephoView profile

Professor

• Statistical Methods in Plant Sciences
• Genomic Prediction
• Spatial Modeling for Field Trials
• +5 more

Prof. Dr. Hans-Peter Piepho is a faculty member at the University of Hohenheim , serving as Director of Biostatistics (340c) within the Institute of Crop Science . His research focuses on advanced statistical methods for plant sciences, including genomic prediction, spatial modeling of field trials, and network meta-analysis. Key research areas: Genotype-environment interaction, mixed model applications, and experimental design in agriculture. Collaborations span plant breeding, cultivar testing, and environmental stress analysis. His group emphasizes mixed model procedures as the backbone of methodological innovation. Recent publications highlight climate change adaptation, nitrogen optimization, and agroforestry yield dynamics. Contact: piepho@uni-hohenheim.de | Fruwirthstr. 23, Institute Building, 211, Stuttgart, Germany

• Cyber-Physical Systems
• Industry 4.0
• Augmented Reality
• +4 more

Thomas Ludwig is a Professor of Information Systems with a focus on Cyber-Physical Systems at the University of Siegen. He holds a PhD (summa cum laude) from the same institution and has led numerous research initiatives in Industry 4.0, digital transformation, and human-centered technology design. His work spans augmented reality (AR), gamification, and AI integration in manufacturing. Ludwig co-founded and coordinates the 'Mittelstand 4.0-Kompetenzzentrum Siegen' to support SMEs in digitalization. He has authored over 50 publications in top-tier journals and conferences, including Computer Supported Cooperative Work (CSCW) and Proceedings of the ACM on Human-Computer Interaction . His research has been recognized with awards such as the IHK Preis 2017 for Best Dissertation and the Artur-Woll-Preis. Education: Diplom-Wirtschaftsinformatiker from University of Siegen (2012), PhD in Information Systems (2016), with a focus on socio-technical systems and mobile/social media research. Research Interests: Cyber-Physical Systems, AR applications, gamification design, AI in production planning, and digital competency frameworks for SMEs. He leads projects like Fusion, KOKOS, and EKPLO, addressing challenges in collaborative work, disaster management, and industrial digitalization. Grants & Projects: Projects include EU-funded EMERGENT, BMBF-funded KOKOS, and the self-acquired EKPLO initiative for APS systems in SMEs. He also coordinates the Zukunftszentren KI NRW and the EDIH Südwestfalen. Awards: 32. IHK Preis 2017, Artur-Woll-Preis, pwc-Preis, and multiple best paper awards at international conferences. Labs/Teams: Part of the Cyber-Physical Systems Lab at University of Siegen and the interdisciplinary team behind the 'Rendezfood' and 'Advanced Planning Systems' initiatives.

Masahiro RyoView profile

Professor

• Environmental Data Science
• Artificial Intelligence
• Biodiversity Science
• +5 more

Masahiro Ryo is a Professor of Environmental Data Science at Brandenburg University of Technology (BTU) and leads the working group "Artificial Intelligence for Smart Agriculture" at the Leibniz Centre for Agricultural Landscape Research (ZALF). His research integrates machine learning with ecological systems to address global sustainability challenges, focusing on biodiversity, soil health, and AI-driven agricultural solutions. His work spans environmental data science, ecosystem services, and smart agriculture. Key themes include explainable AI for biodiversity monitoring, soil organic carbon prediction, and machine learning applications in ecological modeling. Recent publications highlight trends in environmental AI, with applications in yield mapping, fungal taxonomy, and global change ecology. He emphasizes the integration of ecological theory with deep learning to tackle small-data problems and improve model transferability. Contact: masahiroryo@gmail.com | Personal Website

• Psychosocial Medicine
• Oncology
• Psychiatry
• +3 more

Prof. Dr. Holger Schulz is a Research Fellow and Project Coordinator at the Center for Psychosocial Medicine, Department of Medical Psychology at the University Medical Center Hamburg-Eppendorf (UKE). His work focuses on psychosocial aspects of oncology, mental health in palliative care, healthcare systems research, and digital health interventions. He actively contributes to clinical research and policy analysis, with expertise in mental disorders, healthcare disparities, and patient-centered care. Key research areas include psychosocial oncology, palliative care practices, mental health service utilization, and healthcare provider perspectives on end-of-life care. His work integrates epidemiological methods with clinical practice, emphasizing translational research to improve patient outcomes. He has led studies on smoking cessation in cancer patients, barriers to healthcare access for autistic adults, and the implementation of e-learning tools to enhance digital health literacy. Prof. Schulz collaborates with interdisciplinary teams on randomized controlled trials (e.g., BENITA trial for ovarian cancer patients) and contributes to national health policy initiatives (e.g., Versorgungsforschung im letzten Lebensjahr). His publications span journals in oncology, psychiatry, and health services research, reflecting his commitment to advancing evidence-based mental and physical healthcare integration.

Dongheui LeeView profile

Assistant Professor

• Human motion understanding
• Physical human-robot interaction
• Machine learning in robotics
• +5 more

Dongheui Lee is an Assistant Professor at the Institute of Automatic Control Engineering (LSR) within the Faculty of Electrical Engineering and Information Technology at Technische Universität München (TUM). She leads the Dynamic Human Robot Interaction for Automation System Lab. Her research focuses on human motion understanding, physical human-robot interaction, and machine learning in robotics. Education: B.S. and M.S. in Mechanical Engineering from Kyunghee University (2001-2003), PhD in Mechano-Informatics from the University of Tokyo (2007). Prior roles include research scientist at KIST Korea (2001-2004) and project assistant professor at the University of Tokyo (2007-2009). Research Interests: Human-robot collaboration, probabilistic robotics, motion recognition, and incremental lifelong learning mechanisms. She has contributed to advancements in motion primitives, compliant physical interaction, and real-time object tracking. Selected Awards: Finalist for KUKA Service Robotics Best Paper Award (2009), Hirose Scholarship (2006-2007), and multiple grants from KRF, KOSEF, and international robotics competitions. Key Publications: Focus on prioritized inverse kinematics, motion imitation, and adaptive control systems. Her work bridges robotics theory and practical applications in humanoid robots and human-robot interaction.

• Immunology
• Infection Immunology
• Respiratory Viral Infections
• +6 more

Prof. Dunja Bruder is a university professor of infection immunology at the Institute of Medical Microbiology and Hospital Hygiene at Otto von Guericke University (OVGU) and Head of the Immune Regulation Research Group at the Helmholtz Center for Infection Research (HZI). She obtained her PhD in immunology from TU Braunschweig and completed postdoctoral training at Harvard Medical School and Yale University School of Medicine. Her research focuses on immune regulation in respiratory viral infections, chronic inflammatory lung diseases, and mucosal immunity. She leads two research groups and holds leadership roles in the Research Focus on Respiratory Viral Infections (HZI), the CRC 854, and the Otto-von-Guericke Graduate Academy. Her work integrates innate and adaptive immunity, with particular emphasis on T-cell responses, microbiota interactions, and vaccine development. She also contributes to teaching in master's programs and human medicine. Education Bachelor/Master: Biotechnology, Technical University of Braunschweig PhD (1996–1999): Immunodominance and T-cell responses to bacterial toxins, HZI Habilitation (2009): Immunology, Hannover Medical School Research Interests Bruder’s work examines immune responses to respiratory pathogens like influenza and SARS-CoV-2, the role of epithelial-T-cell interactions in asthma, and the modulation of immune defenses by microbiota. She investigates vaccine strategies using defective interfering particles and antigen-targeting approaches. Her studies also address antitumor immune training via viral infections and metabolic control of T-cell function in asthma endotypes. Key Contributions She pioneered the analysis of alveolar macrophage dysfunction in chronic lung diseases and demonstrated the protective role of IL-33 in microbiota-mediated antibacterial defenses. Her team developed predictive models for influenza infection using hematological data and identified CD47 as a critical regulator of antiviral macrophage activity. Labs/Teams Leads the Immune Regulation Group at HZI and collaborates with the Institute of Medical Microbiology at OVGU. Active in the HZI’s Respiratory Viral Infections Research Focus and the CRC 854.

• Wireless Networks
• Machine Learning
• Federated Learning
• +3 more

Choong Seon Hong is a Professor at Kyung Hee University's Department of Computer Science and Engineering in Yongin, South Korea. He earned his PhD in Instrumentation Engineering from Keio University, Japan, in 1997. His research focuses on next-generation wireless networks, with emphasis on 6G systems, federated learning, edge computing, and network optimization. Recent collaborative work explores semantic communication, UAV deployment, and multimodal learning frameworks. His publications highlight technical innovations in: Wireless network optimization for terrestrial, aerial, and satellite systems Federated learning architectures with knowledge distillation and prototype transfer Energy-efficient resource allocation in IoT and vehicular networks Security frameworks for EV charging stations and Open RAN systems Current trends show strong collaboration with Zhu Han, Walid Saad, and younger researchers like Apurba Adhikary and Yan Kyaw Tun. The work spans technical solutions for 6G non-terrestrial networks, holographic MIMO systems, and semantic communication frameworks.