جست‌وجوی استاد و پژوهشگر

• Smart Products
• Service Systems
• Digital Platforms
• +۵ مورد دیگر

Prof. Dr. Stefan Eicker is a Professor and Chairholder of Business Information Systems and Software Engineering at the Faculty of Computer Science, University of Duisburg-Essen, Germany. He has held this position since April 2004, following previous academic appointments at the Technical University of Clausthal, the University of Essen, and other German institutions. His research spans multiple domains within information systems and software engineering, with a particular focus on digital transformation and emerging technologies. Prof. Eicker's research interests center around Smart Products , Service Systems , Internet of Things , and Platform Economics . His work explores how digital technologies transform traditional business models and create new value propositions. He has developed taxonomies for smart services and investigated quality factors in self-tracking solutions, demonstrating his interdisciplinary approach that bridges technical and business perspectives. His research particularly emphasizes the integration of physical and digital components in modern products and services. His recent publications (2019-2024) reveal a strong focus on digital platform economies, smart services, and IoT applications. The research shows a clear trajectory toward understanding value creation mechanisms in digital ecosystems, with increasing attention to practical applications in energy systems, self-tracking technologies, and business model innovation. His work often involves collaboration with colleagues like Gero Strobel and Tobias Brogt, indicating an active research group focused on digital transformation. Prof. Eicker has contributed significantly to the academic community through his extensive publication record spanning nearly two decades, with work appearing in journals, conference proceedings, and edited volumes. His research bridges theoretical frameworks with practical applications in business contexts. He maintains an active role in academic administration and education at the University of Duisburg-Essen, where he has contributed to curriculum development and the implementation of systems for managing academic information. His work on the bolognaT3 system demonstrates his commitment to improving academic processes through technology.

Sabrina Zellmerمشاهده پروفایل

استاد

• Battery and Fuel Cell Process Technology
• Sustainable Energy Storage
• Mechanochemical Synthesis
• +۵ مورد دیگر

Prof. Dr.-Ing. Sabrina Zellmer holds the University Professorship for Battery and Fuel Cell Process Technology at the Faculty of Mechanical Engineering, Technische Universität Braunschweig since April 2023. She also serves as Head of the Department 'Process and production engineering for sustainable energy storage' at the Fraunhofer Institute for Surface Engineering and Thin Films IST since 2019. Her research focuses on sustainable energy storage solutions, battery technology, and mechanochemical synthesis of materials. Location: Volkmaroder Str. 5, 38104 Braunschweig Contact: s.zellmer@tu-braunschweig.de Research Focus Prof. Zellmer's work addresses critical challenges in: Direct recycling of battery production waste Mechanochemical synthesis of solid electrolytes Electrochemical modeling of novel battery systems Vacuum-based thin film technologies for cathode materials Circular economy approaches for lithium batteries Sustainability assessment of energy storage systems Scientific Contributions Her recent publications demonstrate expertise in: Advanced battery material processing Environmental impact optimization Innovative recycling methodologies Industrial sustainability strategies

Gudrun Kiesmuellerمشاهده پروفایل

استاد

• Inventory Management
• After Sales Service
• Design and Analysis of Manufacturing Systems
• +۴ مورد دیگر

Prof. Dr. Dr. h.c. Gudrun Kiesmüller serves as Full Professor holding the Chair for Operations Management at TUM School of Management, Technical University of Munich, based at Campus Heilbronn since July 2019. She concurrently holds the position of Hedda Andersson Guest Professor at Lund University's Department of Industrial Management & Logistics since January 2021. Previously, she held professorial positions at Otto-von-Guericke-University Magdeburg (2013-2019), Christian-Albrechts-University zu Kiel (2010-2013), and Technical University Eindhoven (2002-2009). Her research program focuses on Operations Management with particular emphasis on the implications of digitization in Industry 4.0, especially in after-sales services. She develops analytical methods to optimize processes across manufacturing and supply chains. Her work spans three interconnected domains: stochastic manufacturing systems design (examining buffer sizing and spare parts planning), safety stock optimization under uncertain demand and supply conditions, and maintenance-reliability integration. She investigates how digitization transforms traditional operations, with growing emphasis on AI applications for supply chain optimization and inventory planning. Prof. Kiesmüller's extensive publication record reveals consistent contributions to operations research methodology with practical business applications. Her work demonstrates increasing integration of data-driven approaches, particularly in the most recent publications which explore AI applications for supply chain optimization. The research shows progression from theoretical inventory models toward more complex, integrated systems that consider multiple uncertainties simultaneously, reflecting the growing complexity of modern supply chains. Her professional recognition includes: 2022 Service Award from the International Society for Inventory Research Multiple Outstanding Reviewer Awards from OR Spectrum (2017, 2020) EURO Best Paper Award (2014) for influential review on lateral transshipments Multiple teaching awards recognizing excellence in both bachelor and master level instruction At TUM, Prof. Kiesmüller teaches a comprehensive curriculum in Operations Management, emphasizing both theoretical foundations and practical applications. Her courses equip students with skills to analyze supply chain planning problems, apply quantitative models, and solve complex operational challenges. She maintains an active research group investigating how digitization transforms operations management practices, particularly in after-sales service contexts where Industry 4.0 technologies enable new optimization possibilities.

Peter Schossigمشاهده پروفایل

مدرس

• Thermal Energy Storage
• Solar Energy
• Energy Efficiency in Buildings
• +۳ مورد دیگر

Prof. Dr. Peter Schossig is Director of the Division 'Heat and Buildings' at Fraunhofer Institute for Solar Energy Systems ISE in Freiburg. Since 2016, he has been a Lecturer at the University of Freiburg's Department of Sustainable Systems Engineering. He chairs the Scientific Committee of the International Renewable Energy Storage Conference (IRES), organized by EUROSOLAR. His research focuses on thermal energy storage, solar energy integration, and energy-efficient building systems. Key roles include managing over 250 employees in thermal systems and buildings divisions, leading major projects like Reallabor (heat pump living labs) and LC150 (low-charge heat pumps). Education: PhD in Architecture (2015), Karlsruhe Institute of Technology (KIT), thesis on micro-encapsulated phase change materials. Physics diploma (1998), University of Freiburg. Research Interests: Thermal energy storage systems and materials (PCMs, adsorption). Heat pumps, solar cooling, and renewable energy integration in buildings. Low-exergy heating concepts and sustainable building design. Notable Projects: Leading 'HArVest' for adsorption module development. Co-authoring over 150 publications on thermal systems and sustainability. Serving as external examiner for doctoral programs at Universities of Lleida, Warwick, ETH Zurich, etc. Labs/Teams: Fraunhofer ISE divisions under his leadership include 'Energy Efficient Buildings', 'Heating and Cooling Technologies', and 'High Temperature Solar Thermal' groups, with accredited testing facilities for thermal systems.

Ruben Martinsمشاهده پروفایل

استادیار

• Constraint Programming
• Program Synthesis
• Formal Verification
• +۳ مورد دیگر

Ruben Martins is an Assistant Professor at Carnegie Mellon University's School of Computer Science and serves as the program director of the Master of Science in Computer Science (MSCS) . His research focuses on the intersection of constraint programming, program synthesis, analysis, and verification, with recent work aiming to make formal methods tools more accessible through automated reasoning. Ruben earned his Ph.D. with honors from the Technical University of Lisbon, Portugal (2013) , followed by postdoctoral research at the University of Oxford (2014-2015) and UT Austin (2015-2017) . Research Interests : Ruben's work bridges constraint programming and program synthesis , with applications in software verification , optimization , and automated reasoning . He has developed award-winning tools like Open-WBO , a modular MaxSAT solver that has won gold medals in international competitions. His publications span top-tier venues such as POPL , PLDI , FSE , SAT , and CP , often addressing real-world challenges from program analysis to network security. Scientific Awards include: Distinguished Paper Award at PLDI 2018 Distinguished Paper Award at FSE 2021 Distinguished Paper Award at SAT 2022 Gold medals for Open-WBO in MaxSAT competitions Teaching & Advising : Ruben mentors Ph.D., Master’s, and undergraduate students in research projects related to program synthesis, formal methods, and constraint solving. He teaches courses such as Bug Catching: Automated Program Verification and Advanced Topics in Logic: Automated Reasoning and Satisfiability , emphasizing hands-on experience with tools like Why3. His advising spans topics from AI-driven program repair to network protocol verification , fostering collaboration across disciplines.

• Cognitive Neuroscience
• Social Neuroscience
• EEG Analysis
• +۳ مورد دیگر

Karl-Philipp Maria Flösch is an academic staff member and doctoral candidate in the Department of Psychology at the University of Konstanz, affiliated with the Research Unit Schupp led by Prof. Harald T. Schupp. His research focuses on understanding cooperative behavior through EEG hyperscanning in collaborative gameplay settings, investigating neural mechanisms underlying social interaction. He holds a Master of Science (2019) and a Bachelor of Science (2018) in Psychology from the University of Konstanz, both with distinction. His educational background includes thesis work on emotional modulation of EEG responses and visual processing facilitation. He teaches courses such as ‘A hands-on beginner's guide to EEG’ , emphasizing theoretical foundations and practical applications of EEG technology, including hands-on experience with mobile systems. Flösch’s publications explore EEG-based studies of group dynamics, cooperative gameplay, and neural markers of emotion. His work bridges cognitive neuroscience and social neuroscience, with a focus on brain coupling during collaboration and affective processing. He has contributed to advancements in EEG methodology, including optimizing mobile EEG systems. His research and teaching reflect a commitment to understanding how neural processes underpin human social interaction and emotion, with applications in both academic and clinical contexts.

Florian Hausenمشاهده پروفایل

استاد

• Electrochemistry
• Nanotechnology
• Materials Science
• +۵ مورد دیگر

Florian Hausen is a Professor for Applied Interface Electrochemistry at RWTH Aachen University and leads the scanning probe microscopy focused group at the Fundamentals of Electrochemistry (IET-1) department within Forschungszentrum Jülich . His work bridges electrochemistry, nanotechnology, and materials science, with a focus on energy storage systems. Education : Studied Chemistry at the University of Bonn PhD in Physics from Saarland University Hausen's research interests center on in-situ/operando scanning probe techniques to study interfaces in energy materials, including solid-state batteries , proton exchange membrane water electrolyzers , and ionic liquids . His group explores: Correlative microscopy (AFM, SEM, EPR) for multi-scale analysis Mechanical properties under electrochemical load Tribology of materials in battery systems Interphases in lithium, zinc, and silicon-based energy technologies The article trends reflect his expertise in: Nanoscale electrochemical characterization of battery and electrolyzer components Material degradation under dynamic cycling and electrochemical stress Correlation of electrical, mechanical, and chemical properties in energy systems Technique development for operando studies and data reproducibility His work contributes to understanding and improving: Lithium plating and SEI formation Nanomechanical stability of electrolyzer anodes and cathodes Carbon nanofiber properties for battery electrodes Doping effects in ceramic solid electrolytes

• Thermodynamics
• Polymer Science
• Phase Equilibria Modeling
• +۳ مورد دیگر

Prof. Dr. Sabine Enders holds a Professorship at the Karlsruhe Institute of Technology (KIT) since 2015, previously affiliated with the Technical University of Berlin (UniCat member since 2012). She leads the Institute of Technical Thermodynamics at KIT. Her research focuses on thermodynamics of complex material systems, including phase and interphase equilibria of polymers, drug solubilization via hydrogels/micellar systems, and thermodynamic isolation of biologically relevant molecules. Education & Career: Professorship at KIT since 2015 Former affiliation with TU Berlin (Thermodynamics and Thermal Process Engineering) Research Interests: Phase equilibria modeling for hyperbranched polymers Lattice-cluster theory applications Drug delivery systems via polymer-based solutions Biological molecule isolation mechanisms Her publications emphasize computational thermodynamics and experimental studies on polymer solutions, with notable contributions to phase behavior analysis and interfacial phenomena. Labs & Affiliations: Active at the Institute of Technical Thermodynamics (KIT) and previously part of TU Berlin's Thermodynamics group.

• Database Systems
• Stream Processing
• Distributed Data Management
• +۵ مورد دیگر

Volker Markl is a Professor at Technische Universität Berlin in the Institute of Software Engineering and Theoretical Computer Science, with additional affiliations at the Berlin Institute for the Foundations of Learning and Data (BIFOLD) and the German Research Center for Artificial Intelligence (DFKI). His research spans database systems, stream processing, and distributed data management with significant contributions to both theoretical foundations and practical implementations. Markl's research interests focus on next-generation data management systems, particularly for streaming and IoT environments. His work addresses critical challenges in distributed query processing, system integration, and performance optimization. He has pioneered approaches for stream processing in volatile infrastructures and developed innovative techniques for GPU-accelerated database operations. His NebulaStream project represents a major contribution to distributed stream processing systems. His publication record demonstrates consistent impact across top database venues including VLDB, SIGMOD, and ICDE. Recent work shows increasing focus on machine learning integration with database systems, privacy-preserving query processing, and educational approaches for teaching large-scale data management. Markl has mentored numerous researchers who have become prominent in the database community, with frequent collaborators including Steffen Zeuch, Tilmann Rabl, and Philipp Grulich. His leadership extends to major research initiatives and collaborations across European institutions.

Friedrich Longinمشاهده پروفایل

استاد مدعو

• Plant Breeding
• Wheat Genetics
• Alternative Wheat Varieties
• +۵ مورد دیگر

Dr. Friedrich Longin is an Adjunct Professor and Group Leader of the Wheat Research Group at the State Seed Breeding Institute of the University of Hohenheim, Germany. He leads research on wheat breeding, alternative wheat varieties, and increasing biodiversity in wheat cultivation. University of Hohenheim: Habilitation in Plant Breeding (2016), Adjunct Professor (2019) University of Hohenheim and China Agricultural University in Beijing: Doctorate in a German-Chinese graduate program University of Hohenheim: Studied agricultural biology, specializing in biotechnology and plant breeding Dr. Longin's research focuses on breeding alternative wheat varieties, pre-breeding in wheat, processing and nutritional quality of wheat varieties, nutrient use efficiency in wheat species, and increasing biodiversity and sustainability in wheat cultivation. His breeding research into alternative crops has led to the resurgence of traditional varieties such as spelt, emmer, and einkorn. His work bridges fundamental plant breeding science with practical applications for sustainable agriculture and food systems. He has made significant contributions to understanding the genetic basis of wheat quality traits, disease resistance, and nutritional properties. His recent publications demonstrate a strong focus on genomics-based approaches to wheat improvement, with particular attention to grain quality, nutritional properties, disease resistance, and the relationship between wheat varieties and human health. There is a clear trend toward integrating molecular breeding techniques with traditional approaches, and an increasing emphasis on understanding the health implications of wheat consumption, particularly regarding inflammatory responses and food sensitivities. Active participant in numerous national and international research projects related to wheat breeding and genetic resources Regularly invited to speak at national and international conferences on wheat breeding and sustainable agriculture Volunteers on several professional committees related to plant breeding and agricultural research Dr. Longin heads the Wheat Research Group at the State Seed Breeding Institute of the University of Hohenheim, which focuses on developing improved wheat varieties with enhanced nutritional quality, disease resistance, and environmental adaptability. His team works closely with farmers, millers, and bakers to ensure that new varieties meet the needs of the entire production chain from farm to fork.

Alexandre Bartelمشاهده پروفایل

استاد

• software security
• software engineering
• system security
• +۵ مورد دیگر

Alexandre Bartel is a Professor in the Department of Computing Science at Umeå University, Sweden, specializing in software security and software engineering. His research focuses on system security and analysis of permission-based software stacks, particularly Android. With numerous publications in top-tier security and software engineering conferences and journals, Bartel has established himself as a leading researcher in vulnerability analysis and software security. Bartel's research interests primarily center around software security, with a particular emphasis on Java and Android ecosystems. His work delves into vulnerability analysis, deserialization attacks, control flow integrity, and security mechanisms for complex software systems. He investigates how to verify security properties through efficient algorithms and examines existing software layers from a security perspective. His research bridges theoretical security concepts with practical implementation challenges in real-world systems. Analysis of Bartel's recent publications reveals a strong focus on Java deserialization vulnerabilities, control flow integrity mechanisms, and Android security. His work demonstrates a consistent trajectory from fundamental vulnerability analysis to developing practical security solutions and benchmarks. The research spans both theoretical frameworks and empirical evaluations, with significant contributions to understanding long-term security adoption patterns and developing tools for vulnerability detection. Scientific Awards: Most influential Paper ICSE N-10 Award for IccTA: Detecting Inter-Component Privacy Leaks in Android Apps Bartel actively contributes to the academic community through service roles, having served on program committees for major conferences including ASE, ESEC/FSE, ICSE, and FSE. His research has practical implications for software developers and security practitioners, particularly in the areas of vulnerability detection and security mechanism implementation. While specific grant information isn't detailed in the provided materials, his extensive publication record suggests successful funding for his research initiatives. Though not explicitly detailed in the provided information, Bartel's research likely involves collaboration with students and researchers on projects related to software security analysis. His work on benchmarks like Gleipner and CONFUZZION suggests involvement in developing tools and resources for the security research community.

Mark Vehseمشاهده پروفایل

استاد

• Additive Manufacturing
• Product Development
• Materials Science
• +۳ مورد دیگر

Prof. Dr.-Ing. Mark Vehse is a full-time faculty member and Professor in the Department of Mechanical Engineering at Stralsund University of Applied Sciences. He is actively involved in teaching courses such as CAD and Machine Elements, Systematic Product Development, and Additive Manufacturing. His research focuses on digital product development, additive manufacturing technologies, and their applications in health technology and biomedical engineering. He leads working groups including 'Digital Product Development & Additive Manufacturing' and 'Digital Product Development & Autonomous Robotics Group.' Prof. Vehse's expertise includes advanced 3D CAD systems, hydrogel fabrication for medical applications, and laser-based micro-manufacturing techniques. His laboratories include the CAD pool, additive manufacturing facilities, and a cleanroom technology setup. He is also the university's representative in the Fachbereichtag Maschinenbau e.V. (FBTM eV), emphasizing his role in mechanical engineering academia. His recent publications highlight innovations in additive manufacturing for healthcare, polymer-based orthotic devices, and drug delivery systems using 3D-printed scaffolds. His work bridges mechanical engineering with biomedical applications, focusing on material science, precision manufacturing, and product lifecycle management.

Steffen Beckerمشاهده پروفایل

استاد

• Software Engineering
• Cloud Systems
• Model-Driven Engineering
• +۷ مورد دیگر

Steffen Becker is a Professor at the University of Stuttgart's Faculty of Computer Science, Electrical Engineering and Information Technology, affiliated with the Institute for Software Engineering's Software Quality and Architecture group. His work focuses on software engineering, cloud systems, model-driven engineering, and cybersecurity. He leads research in architectural modeling tools like Slingshot, GUI testing frameworks (ViMoTest), and hardware security analysis. Recent studies explore AI integration in testing, education, and automotive systems (CARISMA). Research interests include elasticity modeling, self-adaptive systems, and educational technology. His 2025 publications address issues like end-user hardware comprehension, FPGA security, and LLM-driven test generation. Notable tools developed include the Slingshot Simulator for cloud-native systems and Gropius for cross-component issue management. Becker contributes to both theoretical advancements and practical implementations in software quality, security, and cloud infrastructure. Key Areas: Software Architecture, Cyber-Physical Systems, Testing, Reverse Engineering Tool Developments: ViMoTest, Slingshot, Gropius Education Focus: Online programming pedagogy and curriculum innovation His work bridges foundational research with industry applications, addressing challenges in automotive computing, cloud elasticity, and human-centric security awareness. Recent efforts emphasize explainable hardware (XHW) and AI's role in qualitative analysis automation.

• Microsystems Technology
• MEMS (Micro-Electro-Mechanical Systems)
• Terahertz Technology
• +۳ مورد دیگر

Prof. Dr.-Ing. Martin Hoffmann is a Professor of Microsystems Technology at the Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum. His academic career began at the University of Dortmund, where he earned his doctorate in high-frequency technology and later habilitated in microsystems technology (2003). He held roles as a private lecturer and industry researcher before becoming a university professor at TU Ilmenau (2006). He joined Ruhr University in 2017, specializing in cutting-edge microsystems research. His research focuses on MEMS, THz technology, microactuators, and nanoimprint lithography. Key projects include cooperative microactuator systems, THz biosensors, and energy-autonomous sensors. He collaborates with institutions like TU Ilmenau, Purdue University, and Nagoya University through international programs like Double Degree and Erasmus. His work spans academic advising, grants, and industry partnerships (e.g., HL Planartechnik GmbH, Silicon Manufacturing Itzehoe GmbH). Notable contributions include silicon grass nanostructuring, palladium-based gas sensors, and wafer-scale MoS₂ deposition. His lab develops micromechanical systems for biomedical, environmental, and defense applications.

Mario Trappمشاهده پروفایل

استاد

• Resilient Cognitive Systems
• Safety Assurance of AI-based Systems
• Self-Adaptive Software Systems
• +۷ مورد دیگر

Prof. Dr. Mario Trapp is a Full Professor and Chairholder of Engineering Resilient Cognitive Systems at the Technical University of Munich (TUM), within the TUM School of Computation, Information and Technology. He is also the Executive Director of the Fraunhofer Institute for Cognitive Systems IKS in Munich, leading a major research institute focused on the safe integration of artificial intelligence into critical systems. Education: PhD in Computer Science, TU Kaiserslautern, 2005 (with distinction) Habilitation in Computer Science, TU Kaiserslautern, 2016 Studied Technoinformatics / Computer Science, TU Kaiserslautern His research centers on resilient cognitive systems , where he combines expertise in model-based safety engineering with self-adaptive software systems. He advocates for safe intelligence , emphasizing that AI must be engineered to be both intelligent and safe, particularly in domains like autonomous driving and medical technology. His work addresses the challenge of ensuring dependability in open, adaptive systems where traditional safety methods fall short. The available publications reflect a consistent focus on dynamic safety assurance, adaptive certification, and runtime risk management for complex, open systems. His research trajectory shows a deep commitment to foundational methods that enable systems to maintain safety despite uncertainty and change. Scientific Affiliations and Recognition: Member, Bavarian State Government’s Council on AI (Bayerischer KI-Rat) Member, Bavarian State Ministry’s AI – Data Science Expert Panel Former Adjunct Professor, Department of Computer Science, TU Kaiserslautern Prof. Trapp is actively involved in technology transfer, advising numerous industrial partners on safety-critical software and AI assurance. He is a frequent speaker and author on the topics of AI safety, software engineering, and resilience. He leads a research team at Fraunhofer IKS focused on developing architectures and methods for dependable cognitive systems.