جست‌وجوی استاد و پژوهشگر

• Business Administration
• Innovation Management
• Artificial Intelligence in Business
• +۳ مورد دیگر

Daniel Ehls is a Full Professor of General Business Administration at the Business School, Fulda University of Applied Sciences , where he leads the 'International Business & Management' B.Sc. program and the Fulda Centre for Business Management and Entrepreneurship (FU³) . He is a founding coach for startups and a former Affiliated Researcher at Harvard Business School. Education: PhD in Economics and Social Sciences (2013), Hamburg University of Technology M.Sc. in Technology Management (2008), University of Stuttgart Study in Manufacturing Engineering and Management (2007), University of Nottingham Research Interests: Corporate management and business models with distributed users Innovation management in the digital economy and AI applications Open innovation, crowdsourcing, and open-source dynamics Quantitative/qualitative empirical methods (experiments) Scientific Awards: Teaching Innovation Award (2016, 2018) with three-month employee funding Best Paper Nomination (Academy of Management, TIM Division 2020) DAAD Postdoctoral Scholarships (2015-2016) Projects: Partner in EU-funded LEAPXR project (2025-2027) Founding member of E³UDRES² Research Centre of Excellence (2024-2028) Initiator of 'Problem Formulation' symposium at Academy of Management Leader of 'Open Foresight' project (2015-2017, €921,802 funding)

Puze Liuمشاهده پروفایل

پژوهشگر

• Robotics
• Reinforcement Learning
• Control and Optimization
• +۳ مورد دیگر

Puze Liu is a Senior Research Scientist and Deputy Head at the System AI for Robot Learning (SAIROL) department of the German Research Center for Artificial Intelligence (DFKI) , with a secondary affiliation at the Intelligent Autonomous Systems group of the Technische Universität Darmstadt . He completed his Ph.D. at TU Darmstadt under Prof. Jan Peters , focusing on safe reinforcement learning for real-world robotics. Education: Ph.D., Intelligent Autonomous Systems, TU Darmstadt M.Sc., Computational Engineering Science, Technische Universitaet Berlin Research Interests include robotics , reinforcement learning , safe exploration , and human-robot collaboration , with a focus on deploying learned policies in dynamic environments. His work addresses safety in high-dimensional tasks through constraint manifolds and implicit neural representations. Publication Trends span safe reinforcement learning , robot air hockey , kinodynamic planning , and reactive motion generation . Notable contributions include ReDSDF for real-time collision avoidance and ATACOM for constraint manifold control. Scientific Awards Best Paper Award Finalist (CoRL 2021) Best Entertainment and Amusement Paper Award Finalist (IROS 2021) IROS Student Travel Award (2022) Supervision includes mentoring students on topics like safe policy search , air hockey planning , and robot dynamics estimation . He is part of the SAIROL and Intelligent Autonomous Systems teams.

Ravin Balakrishnanمشاهده پروفایل

استاد

• Human-Computer Interaction
• Interactive Computer Graphics
• Information and Communications Technology for Development
• +۳ مورد دیگر

Ravin Balakrishnan is a Professor in the Department of Computer Science at the University of Toronto, where he co-directs the Dynamic Graphics Project (DGP) laboratory. He served as department chair from 2015-2019 and holds a Canada Research Chair in Human-Computer Interaction. His research focuses on developing novel interaction techniques for emerging technologies. His primary research interests include: Human-Computer Interaction (HCI) with emphasis on gesture recognition and tangible interfaces Interactive computer graphics and 3D interaction techniques Information and communications technology for developing regions Novel input devices and interaction paradigms for VR/AR systems Balakrishnan's recent publications demonstrate strong focus on multimodal interaction systems, with recurring themes in haptic feedback, gesture-based controls, VR/AR interfaces, and mobile interaction techniques. His work frequently bridges theoretical models with practical applications in real-world systems. His significant honors include: Elected to ACM CHI Academy (2011) Alfred P. Sloan Research Fellowship (2007) Canadian Human Computer Communications Society Achievement Award (2020) Multiple best paper awards at top HCI conferences (CHI, UIST, CSCW) Balakrishnan has advised over 40 graduate students and postdoctoral fellows, maintaining an active research group at the Dynamic Graphics Project lab. His work has been supported by grants from NSERC, SSHRC, and industrial partners, with research commercialized through several startups including Bump Technologies (acquired by Google). He collaborates internationally with research labs including Microsoft Research, INRIA, and Mitsubishi Electric Research Laboratories, and has served as program chair for major conferences including ACM UIST and Graphics Interface.

• Inclusive Education
• Educational Policy
• Differences in Schooling
• +۳ مورد دیگر

Prof. Tanja Sturm is a Professor of Educational Science at the University of Hamburg's Faculty of Education. Her research focuses on inclusive education, educational policy, and the sociological analysis of classroom practices. She leads the 'Project BEB-CoP' and has authored numerous textbooks and articles on difference construction in schooling, comparative education systems, and pedagogical professionalization. Her work bridges theory and practice, addressing how institutional norms and policies shape educational outcomes. Her research interests emphasize the intersection of social inequality, disability narratives, and performance metrics in schools. She critically examines how educational systems construct 'normality' and 'difference,' particularly in inclusive vs. non-inclusive frameworks. Her studies often employ praxeological and sociological methodologies to analyze classroom interactions and policy impacts. Key themes in her publications include transnational comparisons of inclusive teaching practices, the role of cooperation during crises (e.g., pandemic responses), and the tensions between institutional expectations and classroom realities. She has contributed to policy debates on educational equity through her analysis of tracking systems and policy implementation gaps. While no specific grants or awards are noted, her extensive publication record reflects sustained scholarly engagement with foundational issues in educational science. She advises no listed students but collaborates internationally on comparative educational studies. Her work is housed within the Department of Educational Science, emphasizing both theoretical frameworks and practical implications for teacher training and institutional reform.

Horst Oberquelleمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Computer-Supported Cooperative Work (CSCW)
• Software Ergonomics
• +۵ مورد دیگر

Prof. Dr. Horst Oberquelle is an emeritus faculty member in the Department of Informatics at the University of Hamburg, associated with the Faculty of Mathematics, Informatics, and Natural Sciences. His primary role involves curating the Informatics Museum. He specializes in Human-Computer Interaction (HCI), Computer-Supported Cooperative Work (CSCW), and usability engineering. His research focuses on interdisciplinary design, user-centered systems, and the evolution of interactive technologies. Education details are not explicitly listed, but his academic career spans decades with contributions to HCI education and standards. Research interests include dynamic system design, collaborative systems, and the sociotechnical aspects of computing. Over 150 student theses have been supervised, reflecting his mentorship in HCI and related fields. Publications span from foundational HCI principles to applied research in groupware and usability. His work includes seminal contributions like the 'Memorandum on Human-Computer Interaction 2000' and editorship of key conferences like Mensch & Computer. He is a member of professional organizations like GI and FiFF. Notable projects include the development of the CommSy collaborative learning platform and contributions to the design of usable systems for freelancers and virtual organizations. His academic legacy includes shaping HCI education and fostering interdisciplinary collaboration in computing.

Siddharth Mehrotraمشاهده پروفایل

پژوهشگر

• Socio-Technical Systems
• Information Systems Design
• Sustainable Digital Technologies
• +۲ مورد دیگر

Siddharth Mehrotra is an Alumnus and Guest Researcher affiliated with the University of Hamburg's Faculty of Mathematics, Informatics and Natural Sciences. His primary affiliation is with the Department of Informatics, specifically within the Information Systems and Socio-Technical Systems Design (WISTS) research group. He was associated as a Guest Researcher from TU Delft during 2023. His research interests focus on socio-technical systems design, sustainable digital technologies, and human-centered information systems. While no specific awards or publications are listed here, his work aligns with the university's strategic priorities of innovation and sustainability in a digital age. His collaboration with TU Delft highlights interdisciplinary research engagement. No formal advisees or grant details are provided in the text. His affiliation with WISTS suggests involvement in labs or teams focused on systems design and digital transformation.

Dave Randallمشاهده پروفایل

استاد

• Computer-Supported Cooperative Work
• Human-Computer Interaction
• Ethnographic Methods
• +۱ مورد دیگر

Professor Dave Randall is Senior Professor of Information Systems at the University of Siegen, with additional appointments at Linnaeus University (Sweden). His career spans over 30 years in CSCW/HCI research, focusing on ethnographic approaches to technology design. Recognized through a 2024 Festschrift event, his work bridges sociological inquiry with practical system development. Randall's research employs ethnographic methods to understand collaborative work practices, informing the design of sociotechnical systems. His contributions emphasize real-world context in technology development, particularly in organizational and healthcare settings.

• Empirical software engineering
• Software architecture
• Design patterns
• +۸ مورد دیگر

Justus Bogner is a researcher at the Institute of Software Engineering (ISTE) and leads the division for Software Engineering for AI- & Microservice-Based Systems (SE4AI&MS) at the University of Stuttgart. His work focuses on empirical software engineering , microservices , AI-based systems , and software evolvability . He has contributed extensively to understanding architectural migration, technical debt in AI systems, and quality assurance methodologies. His research spans various subfields including service-oriented architecture , RESTful API design , design patterns , and software maintainability metrics . Recent publications highlight empirical comparisons between JavaScript and TypeScript, frameworks for microservice migration, and systematic studies on AI engineering challenges. Bogner's work often bridges academic research with industry practices through collaborations with IEEE and Springer, though no specific awards or student advisories are mentioned in the provided text.

Russell Coxمشاهده پروفایل

استاد

• Organic Chemistry
• Synthetic Biology
• Fungal Biosynthesis
• +۴ مورد دیگر

Prof. Russell Cox holds the position of Professor of Microbiological Chemistry at the Institute of Organic Chemistry, Leibniz University Hannover, Germany. He leads the Synthetic Biology Group and serves on the Executive Board of the Institute. His academic journey includes prior roles as Full Professor at the University of Bristol (UK) and Reader/Senior Lecturer in Organic and Biological Chemistry. He directs the Biomolecular Drug Center (BMWZ) and chairs international conferences on biosynthetic research. Research focuses on elucidating fungal biosynthetic pathways, isolating natural products for pharmaceutical/agrochemical applications, and engineering metabolic pathways to produce novel bioactive compounds. Key areas include tropolone sesquiterpenoids, maleidrides, and polyketide synthase mechanisms. He publishes in top journals like Nature Reviews Chemistry and collaborates globally on projects involving fungal genomics and drug discovery. Teaching responsibilities include Organic Chemistry II (English), Biomolecular Chromatography, and practical courses. Administrative roles span admissions committees for M.Sc. programs in Chemistry, Life Science, and Molecular Microbiology. His lab integrates synthetic biology with genomic approaches to engineer microbial production systems for high-value compounds. Publications since 2020 highlight advances in fungal secondary metabolite engineering, SARS-CoV-2 inhibitor discovery, and genomic studies of Hypoxylaceae. Research emphasizes translating fundamental biosynthetic insights into practical applications for medicine and agriculture.

Stefan Hüttelmaierمشاهده پروفایل

استاد

• Molecular Biology
• Cancer Biology
• RNA Biology
• +۳ مورد دیگر

Stefan Hüttelmaier is a Full Professor of Molecular Cell Biology at Martin-Luther University Halle-Wittenberg, Germany. He leads the Core Facility Imaging at the Charles Tanford Protein Center and directs research into RNA-binding proteins' roles in cancer. His career includes postdoctoral work at Albert Einstein College of Medicine and leadership roles in the RTG 1591 research group. His work focuses on RAVER1 protein dynamics, perinucleolar compartments, and RNA metabolism in cancer progression. Education: PhD in Biotechnology (2000, University of Braunschweig), postdoctoral training at Albert Einstein College of Medicine (2001–2004). Academic milestones include Associate Professor (2009) and Full Professor (2014) positions. Research spans RNA-protein interactions, cancer biology, and translational mechanisms in tumors. Key research interests include RNA-binding proteins' roles in cancer (RAVER1, IGF2BP1), alternative splicing, and miRNA regulation. His lab investigates how these molecules influence cancer cell behavior, metastasis, and therapeutic resistance. Recent work highlights druggable targets like IGF2BP1 and mechanisms linking RNA modifications to oncogenesis. Leadership roles include RTG 1591 speaker and Core Facility director. Publications emphasize RNA biology in cancer, with contributions to understanding post-transcriptional control and therapeutic strategies targeting RNA pathways. His interdisciplinary approach combines molecular biology, biochemistry, and computational modeling to address clinical challenges in oncology.

Hannes Hemmerleمشاهده پروفایل

پژوهشگر ارشد

• Groundwater Thermodynamics
• Climate Change Impacts
• Subsurface Urban Heat Islands
• +۳ مورد دیگر

Dr. Hannes Hemmerle is a post-doctoral researcher at Martin Luther University Halle-Wittenberg's Applied Geology department, focusing on subsurface thermal dynamics and climate change impacts. He holds a PhD from the same institution (2023) and previously worked as a Research Associate at Ingolstadt University of Applied Sciences (2018-2019). His research integrates numerical modeling, field measurements, and remote sensing to address critical questions about groundwater warming, subsurface urban heat islands, and anthropogenic heat emissions' environmental consequences. Education: B.Sc. in Sedimentary Geology (University of Freiburg, 2015) and M.Sc. in Applied Geology (University of Erlangen-Nürnberg, 2017) Affiliations: Member of Prof. Peter Bayer's research group, contributing to projects on urban geothermal energy and climate adaptation Research interests emphasize linking thermal subsurface processes to global environmental challenges, with a focus on sustainable energy solutions and ecosystem preservation. His work bridges geoscience and engineering to advance understanding of subsurface systems under anthropogenic pressures. Publications highlight innovative approaches to modeling groundwater temperature trends, assessing heat pollution from urban infrastructure, and leveraging subsurface heat for renewable energy. Recent work includes analyzing thermal impacts of underground car parks and predicting groundwater warming in Saxony-Anhalt. Collaborations include international projects on Mediterranean hydrology and urban climate resilience, supported by interdisciplinary partnerships across Europe.

Benjamin Uekermannمشاهده پروفایل

استادیار

• Computational Science
• Multiphysics Simulation
• Parallel Computing
• +۳ مورد دیگر

Benjamin Uekermann is a Jun.-Prof. (Assistant Professor) at the University of Stuttgart's Institute for Parallel and Distributed Systems (IPVS), part of the Faculty of Computer Science, Electrical Engineering, and Information Technology. His work focuses on sustainable simulation software ecosystems , particularly advancing the preCICE coupling library for multi-physics and multi-scale simulations. He leads research in partitioned simulation coupling , reproducible software practices, and high-performance computing tools. His research interests include Parallel computing and distributed systems Numerical methods for coupled PDE-based simulations Scientific software sustainability and open-source frameworks Data-driven adaptive algorithms Validation and testing of simulation ecosystems Recent work emphasizes reproducibility via NixOS integration, user-friendly tools like MetaConfigurator and ASTE, and multi-X coupling across scales and physics domains. His preCICE library enables seamless integration of solvers like OpenFOAM and FEniCS for fluid-structure interaction, CFD/CSD, and thermohydraulics. Key contributions include scalable radial-basis interpolation methods, quasi-Newton acceleration schemes, and geometric multi-scale coupling frameworks. He actively develops educational materials on open-source scientific computing and advocates for sustainable research software practices.

Knut Blindمشاهده پروفایل

استاد

• Innovation Economics
• Regulation and Innovation Policy
• Standardization
• +۴ مورد دیگر

Prof. Knut Blind is a Professor of Innovation Economics at the Technical University Berlin and Coordinator of the Business Unit Innovation and Regulation at Fraunhofer ISI. His research focuses on the interplay between regulation, innovation, and standardization, with particular emphasis on their economic impacts. He holds additional affiliations, including former roles at Rotterdam School of Management and the Fraunhofer Institute for Open Communication Systems. Education: Bachelor of Arts, Brock University (Canada) German Diploma in Economics, University of Freiburg PhD in Economics, University of Freiburg (funded by Daimler and Benz Foundation) Habilitation in Economics, Kassel University Research Interests: Regulatory frameworks and innovation behavior Standardization as a self-regulatory mechanism Intellectual property rights (patents to open-source) Innovation policy instruments (public procurement, cluster promotion) Professional Roles: Member of German Academy of Science and Engineering (acatech) Advisor to international organizations (World Bank, OECD, EU Commission) Founder of Berlin Innovation Panel and German Standardization Panel Grants & Projects: RISERS - Industrial Symbiosis Standardisation Blockchain/DLT Standardisation Support QI Impact Study on Quality Infrastructure Labs/Teams: Leading Fraunhofer ISI's Business Unit on Regulation and Innovation Co-Director of Berlin Innovation Panel

• Personal Information Management (PIM)
• Information Ethics
• Digital File Management
• +۴ مورد دیگر

Prof. Jesse Dinneen is an Assistant Professor in the Department of Information Science at Humboldt University of Berlin, affiliated with the Philosophische Fakultät. His work focuses on personal information management (PIM), AI ethics in libraries, and societal implications of information systems. Contact: Email | Phone: +49 30 2093-70957. Research Interests: Exploring ethical challenges in AI integration within libraries Analysis of digital file management behaviors across demographics Intersection of death studies and information management practices Evaluation of global research collaboration dynamics Development of PIM frameworks for creative professionals Key Contributions: Recent work includes critical analyses of neurodivergence research methodologies, AI ethics foresight tools, and longitudinal studies of international research partnerships. His 2024 Annual Review paper on death and information management has sparked interdisciplinary dialogue. Professional Activity: Active in library science policy discussions, particularly regarding EU AI regulation. Coordinates research on digital housekeeping and voice assistant interactions. Frequently presents at iSchools Caucus events. Labs/Teams: Leads the Information Behavior Research Group within the IBI institute, focusing on sociotechnical information systems analysis.

Thomas A. Runklerمشاهده پروفایل

استاد مدعو

• Machine Learning
• Data Analytics
• Pattern Recognition
• +۳ مورد دیگر

Thomas A. Runkler is an Adjunct Professor at the Technical University of Munich (TUM), holding a Chair in the Foundations of Software Reliability and Theoretical Computer Science within the TUM School of Computation, Information and Technology. Since 1999, he has taught computer science at TUM while concurrently serving in various expert and managerial roles at Siemens AG, where he currently holds the position of Senior Principal Research Scientist. His academic journey includes a Master’s and PhD in electrical engineering from TU Darmstadt (1992/1995), followed by postdoctoral research at the University of West Florida (1996–1997). Runkler’s research spans machine learning , data analytics , fuzzy systems , and optimization . He has authored/co-authored over 200 publications, focusing on topics like clustering algorithms, neural networks, and decision-making frameworks. Professional contributions include leadership roles in organizations such as the IEEE CIS committees and the German Association for Computer Science’s Fuzzy Systems group. His teaching includes courses on Data Mining and Knowledge Discovery . Key publications include foundational works on fuzzy preference structures, Bayesian decomposition of dynamical systems, and interpretable reinforcement learning policies. Runkler’s work bridges academia and industry, emphasizing practical applications in automation, recommendation systems, and industrial procurement forecasting. His research often addresses challenges in uncertainty handling, algorithm design, and scalable data analysis.