جست‌وجوی استاد و پژوهشگر

Florian Haselbeckمشاهده پروفایل

استاد

• Machine Learning in Agriculture
• Time Series Forecasting
• Protein Engineering
• +۵ مورد دیگر

Prof. Dr. Florian Haselbeck is a Professor in the Department Sustainable Agriculture and Energy Systems at the University of applied sciences Weihenstephan-Triesdorf (HSWT). His research bridges machine learning, agricultural science, and biological applications with a strong focus on practical implementations. His primary research interests include: Machine Learning applications for time series forecasting in agriculture and energy systems Protein engineering and thermostability prediction using deep learning Computer vision for precision agriculture and weed detection Development of open-source frameworks for scientific computing Smart farming applications with practical industry relevance Dr. Haselbeck's recent publications reveal a strong interdisciplinary approach, combining cutting-edge AI techniques with domain-specific challenges. His work on protein thermostability prediction using graph neural networks (ProtGCN) and protein language models (ProLaTherm) demonstrates innovative applications of AI in biochemistry. He has also developed influential open-source frameworks including ForeTiS for time series forecasting and easyPheno for phenotype prediction, which have gained significant traction in their respective fields. As project lead for the smartBattery initiative, Dr. Haselbeck is applying AI to optimize large-scale battery storage systems for renewable energy integration. His research consistently emphasizes practical applicability, with numerous publications focusing on real-world implementation challenges and solutions in agricultural contexts.

Michael Clasenمشاهده پروفایل

استاد

• Agricultural Informatics
• Auto-ID Technologies
• E-Business
• +۶ مورد دیگر

Prof. Dr. Michael Clasen is a Professor at the Department of Business Information Systems (F4WI) within Faculty IV Business and Information Technology at Hanover University of Applied Sciences. His academic work bridges the gap between information technology and practical business applications, with particular focus on agricultural contexts. Professor Clasen's research interests center on agricultural informatics, Auto-ID technologies, E-business, standardization, Web economy, and the philosophy of science. His expertise spans business informatics with special emphasis on electronic business, RFID, Internet of Things, standards (particularly GS1/DIN), agricultural informatics, and emerging information processing technologies. This interdisciplinary approach creates valuable connections between technological innovation and practical industry applications. His publication record demonstrates consistent engagement with digital transformation in agriculture, with recent works exploring autonomous farming systems, agricultural data analytics, and the philosophical implications of digitalization. The research shows a clear trajectory toward increasingly sophisticated integration of AI, IoT, and data-driven approaches in agricultural contexts, while maintaining critical perspectives on societal implications. Consumer protection officer at DIN/ISO on Auto-ID, RFID and Internet of Things Scientific support of the E-Business Guides Hanover Professor Clasen actively mentors scientific staff including Anna Gubanova, Julia Garashchuk, and Martin Hönig, contributing to the development of next-generation researchers in agricultural informatics. He serves on the WI Examination Committee and represents his department in the Study Commission, demonstrating strong institutional engagement. His personal interests include travel, automobiles, motorcycles, technology, science, music, hunting, hunting horn blowing, and running, reflecting a well-rounded engagement with both technical and traditional pursuits.

• Artificial Intelligence
• Human-Computer Interaction
• Machine Learning
• +۴ مورد دیگر

Jeffrey P. Bigham is a researcher at Carnegie Mellon University 's Human-Computer Interaction Institute . He specializes in Artificial Intelligence , Accessibility , and Human-Computer Interaction , with a focus on Inclusive AI systems Accessible web and mobile development Large language model applications User interface engineering His recent publications explore synthetic data generation for UI/Slide understanding, LLM-based code generation , and real-time notetaking systems . Key themes include Improving accessibility through AI Interactive ML model optimization Collaborative human-AI workflows Visual and speech interface analysis Bigham's work spans Computer Science , Machine Learning , and Natural Language Processing , often addressing disability inclusion and user-centered AI . He collaborates extensively with researchers like Jason Wu Yi-Hao Peng Amy Pavel Stephanie Valencia Henny Admoni across 300+ publications since 2006. Notable contributions include automated accessibility tools (like Screen Recognition ), stuttering accommodation in speech recognition , and generative AI literacy initiatives . His research bridges technical AI innovation with social impact , particularly for marginalized user groups.

Dieter Meillerمشاهده پروفایل

استاد

• Web Design
• Web Engineering
• Mobile Applications
• +۱۳ مورد دیگر

Prof. Dr. Dieter Meiller is a Professor at OTH Regensburg, specializing in the intersection of design and computer science. His research focuses on information visualization, human-computer interaction, and multimedia systems. Key areas include web engineering, mobile applications, aesthetics in computing, and 3D visualization. His work emphasizes making information accessible through engaging visual and interactive methods. Recent research explores topics like automated code evaluation, user response measurement, and virtual reality applications. He has contributed to Flutter-based app development frameworks and industrial data analysis through visual analytics. Dieter Meiller actively collaborates on projects involving digital education tools and immersive technologies. He maintains professional networks via LinkedIn and Xing, reflecting his commitment to interdisciplinary innovation.

Gerhard Hummerمشاهده پروفایل

استاد

• Computational Molecular Biophysics
• Biomolecular Structure and Dynamics
• Molecular Simulation Methods
• +۷ مورد دیگر

Gerhard Hummer is a Professor of Biophysics at the Department of Physics , Goethe University Frankfurt am Main , and Director of the Department of Theoretical Biophysics at the Max Planck Institute of Biophysics . He is recognized as a Highly Cited Researcher in life sciences by Clarivate Analytics, reflecting his significant contributions to computational and theoretical molecular biophysics. Education: Ph.D. in Physics (University of Vienna, 1992) Positions: Postdoc (Los Alamos National Lab, 1993-1996); Senior Investigator at NIH (1999-2013); Director at Max Planck Institute (2013-present) His research focuses on computational studies of biomolecular processes , spanning energy conversion, molecular transport, signal transduction, and enzymatic catalysis, with applications in autophagy, drug binding, and viral protein dynamics. He develops advanced molecular dynamics simulation methods and collaborates with experimental groups using x-ray crystallography, electron microscopy, and single-molecule techniques. Recent work by his group includes autophagy regulation , mitochondrial dynamics , RNA assembly , and AI-driven simulation methods , with publications in Cell , Science , and Nature . His team actively explores non-equilibrium thermodynamics and integrative structural biology to bridge atomic details with cellular functions. Scientific Awards: Highly Cited Researcher (Clarivate Analytics, Life Sciences category) As head of the Theoretical Biophysics department, Hummer oversees a team of 20+ researchers , including PhD students and postdocs, and contributes to major initiatives like the Frankfurt Institute of Advanced Studies . His computational approaches address fundamental questions in biomolecular function while driving technological innovations in nanofluidics and energy conversion .

Simone Paolo Ponzettoمشاهده پروفایل

استاد

• Natural Language Processing
• Information Retrieval
• Knowledge Graphs
• +۷ مورد دیگر

Prof. Simone Paolo Ponzetto is the Chair of Information Systems III (Enterprise Data Analysis) at the University of Mannheim, leading the Natural Language Processing and Information Retrieval (NLP and IR) group within the Data and Web Science Group since 2013. His research bridges computational methods with applications in Social Sciences and Humanities. Full Professor (W3) since February 2016 Based at School of Business Informatics and Mathematics Contact: simone@informatik.uni-mannheim.de | ponzetto@uni-mannheim.de His work spans knowledge acquisition , multimodal NLP , and LLM applications in: GUI prototyping, scientific text analysis, political discourse modeling, and social science data integration. Recent projects explore zero-shot synthesis , cross-lingual knowledge editing , and ethical analysis of language models . Key research trends in his publications include LLM-driven interface design , multimodal summarization , and robust cross-lingual methods for NLP tasks. His group's work combines symbolic approaches with deep learning , leveraging knowledge graphs and distributional semantics across disciplines. Research grants include DFG-funded projects JOIN-T 2 , SFB 884 , and UNCOVER , alongside MWFK Baden-Württemberg programs for junior professors and part-time master's education in Data Science. The Data and Web Science Group under his leadership focuses on empirical research in computational social science and digital humanities, with applications in political text analysis, survey data integration, and surgical language modeling through projects like SurgicBERTa and FrameASt .

Klaus Hofmannمشاهده پروفایل

استاد

• Analog and Digital Integrated Circuits
• High-Voltage Generation Systems
• Sensor Integration in Robust Environments
• +۵ مورد دیگر

Prof. Klaus Hofmann is a Professor at the Technical University of Darmstadt, leading the Department of Electrical Engineering and Information Technology. His research focuses on integrated circuits, high-voltage systems, and sensor-integrating machine elements, with applications in Industry 4.0 and robust environments. Previously, he held senior engineering roles at Siemens HL, Infineon Technologies AG, and Qimonda AG, specializing in semiconductor product development and advanced technology. Education: Holds a doctorate in engineering from TH Darmstadt (1997), with earlier studies at Ruhr University Bochum (Germany), Purdue University (USA), and the University of Cooperative Education Stuttgart. His academic journey includes training in electrical engineering and communications systems. Research Interests: Dr. Hofmann's work spans analog/digital circuit design, reconfigurable electronics, and sensor integration in mechanical systems. He explores emerging technologies like memristive devices and oscillator-based computing for optimization problems. His projects emphasize practical applications, such as energy-efficient sensor platforms and sustainable microelectronics education. Recent Work: Key contributions include studies on Germanium FETs, adaptive differential amplifiers, and sensor-integrating bolts for multi-axial force measurement. He collaborates on initiatives like the SENSOTERIC project to advance smart sensors and promotes STEM education through innovative teaching methods. Labs & Teams: Leads the Integrated Electronic Systems (IES) Group at TU Darmstadt, focusing on interdisciplinary research in circuits, systems, and emerging technologies.

Marc Boxbergمشاهده پروفایل

پژوهشگر

• Geophysical Imaging
• Radioactive Waste Disposal
• Ice Data Analysis
• +۳ مورد دیگر

Dr. Marc Boxberg is a researcher at RWTH Aachen University's Department of Geophysical Imaging and Process Observation, affiliated with the Faculty of Georesources and Materials Engineering. His work focuses on geophysical imaging, environmental risk assessment for radioactive waste disposal, and cryosphere-related planetary exploration. He leads research into seismic wave propagation, data integration frameworks, and robotic exploration systems. Key research interests include icy moon mission preparation, subglacial access technologies, and data-driven approaches for radioactive waste management. He contributes to interdisciplinary projects like the Ice Data Hub and Cryotwin digital infrastructure. Dr. Boxberg's expertise spans geophysical modeling, mission simulation tools (e.g., NEXD software), and field-testing of cryogenic exploration hardware. His recent publications highlight advancements in multi-physical data fusion, cryobot performance analysis, and uncertainty quantification in waste repository safety. Ongoing work includes astrobiology research for icy ocean worlds and development of actionable data hubs for long-term environmental monitoring.

Dennis Riehleمشاهده پروفایل

استادیار

• Business Informatics
• Data Science
• Enterprise of Things
• +۵ مورد دیگر

Jun.-Prof. Dr. Dennis Riehle is an Assistant Professor for Business Informatics and Smart Data at the University of Koblenz. Previously, he held a postdoc position at the University of Münster and was a Research Assistant at the University of Koblenz-Landau and University of Sydney. He is the Managing Director of the Competence Center for Conceptual Modeling at ERCIS and co-founder of Event Information Systems (EVIS) GmbH. His research focuses on data science, process management, and socio-technical systems, with notable work on comment moderation systems, intentional forgetting in organizations, and EPC standardization. Educationally, Riehle holds a PhD in Business Informatics (2019, University of Münster), an M.Sc. in Business Information Systems (2015, University of Münster), and a Master's thesis from the University of Sydney (2015). His awards include the Marie Skłodowska-Curie Fellowship (2018) and the ER Best Demo Award (2017). His research projects span automated moderation tools (MODERAT!), intentional forgetting mechanisms (SPP 1921), and EPC standardization (SPEAK project). He actively supervises thesis students in areas like smart data applications, process modeling, and machine learning for moderation systems. His work bridges theoretical contributions with practical implementations, emphasizing design science and prototyping. Riehle's labs and collaborations include the Competence Center for Conceptual Modeling and partnerships with energy trading companies and SAP Campus Management Systems. He teaches courses on Information Modeling and leads project seminars on AI-driven comment analysis.

Frank Heyenمشاهده پروفایل

پژوهشگر

• Visualization
• Human-Computer Interaction
• AI-Assisted Music Composition
• +۳ مورد دیگر

Frank Heyen is a Researcher at the Visualization Institute of the University of Stuttgart (VISUS) , focusing on interdisciplinary applications of visualization and interactive systems in music, education, and data analysis. His work bridges computer science, music technology, and human-computer interaction. Research Interests : Heyen specializes in creating visualization tools for AI-assisted music composition, augmented reality (AR) applications for instrument learning, and immersive analysis of musical performance data. His projects include interactive systems for classifier comparison (ClaVis), AR guitar tutorials (AR Hero), and haptic feedback devices (PropellerHand). Scientific Contributions : His publications highlight collaborations with Michael Sedlmair and others, emphasizing user-centered design and real-time data interaction. In 2025, his paper MAICO received the Replicability Stamp by the Graphics Replicability Stamp Initiative (GRSI), underscoring methodological rigor. His work spans conferences like IEEE Transactions on Visualization and Computer Graphics , ISMIR, IEEE VR, and ACM CHI workshops. Awards : Replicability Stamp by GRSI for MAICO (2025)

Xin Zhongمشاهده پروفایل

پژوهشگر

• Metamorphic Petrology
• Geochemistry
• Fluid Dynamics in Geology
• +۳ مورد دیگر

Dr. Xin Zhong is a Postdoctoral Researcher at the Department of Earth Sciences, Freie Universität Berlin, Germany, specializing in metamorphic petrology and geochemical processes. He holds a PhD from ETH Zurich (2017) and has conducted postdoctoral research at the University of Oslo (2017–2019). His work focuses on quantifying past pressure-temperature conditions in rocks using mineral inclusions and numerical modeling. Professional Affiliations: Member of European Geosciences Union (EGU) and American Geophysical Union (AGU). Research Highlights: Development of Raman thermobarometry techniques, analysis of mineral inclusion-host systems, and studies on fluid-rock interactions in subduction zones. Current projects explore residual stress preservation mechanisms in metamorphic rocks. Grant Support: Alexander von Humboldt Postdoctoral Fellowship (2020–2022).

Lloyd Montgomeryمشاهده پروفایل

استاد

• Software Engineering
• Requirements Engineering
• Natural Language Processing (NLP)
• +۴ مورد دیگر

Professor Lloyd Montgomery is a faculty member in the Department of Informatics at Universität Hamburg. His research focuses on software engineering, requirements engineering, and natural language processing (NLP). He holds the academic rank of Professor and is actively involved in advancing empirical methods for requirements quality, support ticket analysis, and open-source community dynamics. Key research interests include improving software documentation strategies, recovering legacy requirements artifacts, and applying Bayesian methods for causal inference in software quality. His work bridges theoretical frameworks with practical applications, such as predictive modeling for customer support ticket escalations and NLP-driven tools for open-source onboarding. Montgomery collaborates on interdisciplinary projects, including the NLP4RE workshop series, and contributes to industry partnerships like IBM’s ecosystem analysis. His publications emphasize reproducibility, artifact recovery, and evidence-based practices in software engineering. Contact details: Email | Office: Vogt-Kölln-Str. 30, Room D 213, Hamburg

Jan Teichert-Klugeمشاهده پروفایل

پژوهشگر

• Econometrics
• Causal Inference
• Machine Learning
• +۴ مورد دیگر

Jan Teichert-Kluge is a Researcher at the Department of Statistics within the University of Hamburg Business School at the University of Hamburg. His work focuses on Econometrics, Machine Learning, and statistical software development. Education: Master of Science in Industrial Engineering (2023) Bachelor of Science in Industrial Engineering (2020) Research Interests: His research spans causal inference methodologies, AI-driven demand analysis, multimodal data processing, and software tools for statistical analysis. He explores applications of deep learning in business contexts and develops foundation models for complex data integration. Recent Work Trends: Recent publications emphasize causal effect estimation with multimodal data and AI applications in demand analysis, reflecting a focus on bridging econometric theory with modern machine learning techniques.

• Mathematical Optimization
• Nonlinear Optimization
• Mixed-Integer Optimal Control
• +۳ مورد دیگر

Christian Kirches is a full professor at the Institute for Mathematical Optimization within the Carl-Friedrich-Gauß-Fakultät (Faculty of Mathematics, Technische Universität Braunschweig). His research focuses on nonlinear optimization , mixed-integer optimal control , and robust optimization for dynamic systems. He was awarded the Klaus-Tschira prize (2011) for public science communication and the Hengstberger prize (2014) for junior researchers, and received an ERC Consolidator Grant (2022) for his work on optimization under uncertainty. Alumni of Heidelberg University (Diploma, Doctorate, Habilitation) Former resident associate at Argonne National Laboratory and postdoctoral appointee at the University of Chicago Leader of a junior research group (2013–2017) at Heidelberg University His recent publications highlight advancements in mixed-integer nonlinear programming , real-time control systems , and optimization for sustainable energy and transportation . He collaborates with researchers on projects like wind farm control, hydrogen aviation networks, and chromatography process optimization. His methodological work on sum-up rounding , trust-region algorithms , and combinatorial integral approximation has been published in journals such as SIAM Journal on Optimization, Mathematical Programming, and IEEE Control Systems Letters. Kirches also serves as area coordinator for Optimization Online and was associate editor for OR Spectrum (2022–2024). Scientific Awards: Klaus-Tschira Prize (2011) Hengstberger Prize (2014) ERC Consolidator Grant (2022) He is an elected member of the COIN-OR initiative and contributes to open-source optimization software. His lab at TU Braunschweig develops algorithms for dynamic systems under uncertainty, with applications in energy management, autonomous traffic, and industrial processes.

Philip Engelbutzederمشاهده پروفایل

مدرس ارشد

• Sustainable Food Practices
• Food Resource Sharing
• ICT for Sustainability
• +۳ مورد دیگر

Dr. Philip Engelbutzeder is a Senior Lecturer at the University of Siegen working at the intersection of socio-informatics and sustainable practices. His research investigates ICT's role in sustainable food systems, particularly resource sharing, grassroots initiatives, and open-source community development. Research explores food justice, volunteer-driven FOSS projects, and design methodologies for community resilience. Current projects include digital platforms for food redistribution and socio-technical innovations for sustainable consumption. Community engagement includes founding Foodsharing Siegen, coordinating community gardens, and collaborating with international food-sharing platforms. Publications analyze ICT-mediated practices from scarcity to abundance paradigms.