جست‌وجوی استاد و پژوهشگر

David Mendlovicمشاهده پروفایل

استاد

• Optical interconnection networks
• Dynamic optical switches
• Temporal optics
• +۱۵ مورد دیگر

Prof. David Mendlovic is a Full Professor of electro-optics at the School of Electrical Engineering, The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. With a career spanning decades, he has established himself as a leading figure in optical engineering and signal processing, holding significant leadership positions including head of TAU Innovation Labs and board member of the Israel Innovation Authority (IIA). His academic journey began and continued at Tel Aviv University where he earned both B.Sc. and Ph.D. degrees in Electrical Engineering. His professional trajectory includes serving as Chief Scientist of the Israeli Ministry of Science (2008-2010), Co-Chair of the German Israeli Foundation for 6 years, and Vice Dean for Research of the Faculty of Engineering for a decade. Prof. Mendlovic's research spans computational photography for miniature imaging systems, advanced 3-D sensing, AI-based image processing, authentication systems, optical bio-sensing, and deep-fake detection. His work has produced worldwide breakthroughs including hollow fibers for IR transmission, extended depth of field imaging, multi-aperture camera systems, and innovations in the fractional Fourier transform. His recent publications demonstrate continued innovation with emphasis on thermal imaging applications for precision agriculture, dynamic identity authentication, light field photography, and advanced image processing leveraging deep learning approaches across computer vision, optical engineering, and thermal imaging domains. 1998 winner of ICO International Prize in Optics Ernst Abbe Medal by Carl Zeiss Fellow of The Optical Society of America Prof. Mendlovic has successfully translated research into commercial applications through multiple startups including Civcom (acquired by Padtec S/A of Brazil) and Eyesquad (acquired by Tessera Inc, later acquired by Samsung). He has mentored numerous graduate students with thesis topics spanning optical signal processing, diffractive optical elements, and imaging systems. His laboratory work bridges theoretical developments with practical implementations across security, healthcare, agriculture, and consumer electronics applications.

Ran Gilad-Bachrachمشاهده پروفایل

استاد

• Machine Learning
• Health Informatics
• Deep Learning
• +۵ مورد دیگر

Prof. Ran Gilad-Bachrach is a faculty member at Tel Aviv University, affiliated with the Iby and Aladar Fleischman Faculty of Engineering in the Department of Bio-Medical Engineering . His research focuses on Machine Learning , Deep Learning , and their applications in Health and Well-Being , including Private-AI and behavioral change technology . He leads the Machine Learning for Health and Well-Being Lab and has made significant contributions to AI in healthcare, encrypted data analysis, and gait recognition. Department: Bio-Medical Engineering University: Tel Aviv University Research Interests span multiple disciplines: Machine Learning for Health Informatics Graph Neural Networks Privacy-Preserving AI Behavioral Intervention Systems Medical Data Analytics Recent Publications demonstrate expertise in health-focused AI , graph learning , and medical big data analysis . Notable themes include encrypted neural networks , explainable AI , and mobile health interventions .

Axel Küpperمشاهده پروفایل

استاد

• Decentralized Systems
• Blockchain Technology
• Distributed Ledgers
• +۷ مورد دیگر

Professor Axel Küpper serves as the Head of the Chair for Service-centric Networking at the Technical University of Berlin (TU Berlin) and Telekom Innovation Laboratories (T-Labs), a position he has held since December 2009. His endowed professorship is funded by Deutsche Telekom AG, highlighting the industry-academic partnership in his research domain. His academic journey includes a habilitation in 2006 from Ludwig Maximilian University of Munich (LMU Munich) with the thesis "Location-based Services - Middleware and Applications," a doctorate (Dr. rer. nat.) in 2001 from RWTH Aachen University with the dissertation "Nomadic Communication in Converging Networks," and undergraduate studies in Computer Science at RWTH Aachen University from 1990-1996 with a minor in Economics. Prof. Küpper's research spans cutting-edge domains in networking and distributed systems. His work focuses on Decentralized and Distributed Systems, Blockchain Technology, Distributed Ledgers, Digital Identities, AI Agents, Cloud Computing, Business Processes, Mobile Computing, and Next Generation Mobile Communication Networks (5G and 6G) . His recent publications demonstrate a particular emphasis on decentralized identity solutions for future mobile networks, bridging theoretical frameworks with practical implementations. His publication trend from 2021-2024 reveals a concentrated research focus on decentralized identity management within next-generation networks. Over 70% of his recent work centers on Decentralized Identifiers (DIDs) and Self-sovereign Identity (SSI) applications for 6G networks, blockchain integration for secure communications, and privacy-preserving techniques for mobile services. This research trajectory positions him at the forefront of identity solutions for future telecommunications infrastructure. Prof. Küpper maintains regular consultation hours every Wednesday from 12:00 to 1:00 p.m. at TU Berlin, demonstrating his commitment to academic engagement. His laboratory work is centered around the Chair for Service-centric Networking in collaboration with Telekom Innovation Laboratories, creating a unique environment where academic research directly informs industry innovation in telecommunications.

Ilias Gerostathopoulosمشاهده پروفایل

استاد

• Software architecture
• Self-adaptive systems
• Data-driven software engineering
• +۷ مورد دیگر

Ilias Gerostathopoulos is a Professor at the Chair for Software and Systems Engineering (I4) at the Technical University of Munich. His research focuses on software architecture, self-adaptive systems, big data analytics, and component-based development for cyber-physical systems. Education: PhD in Model-Driven Development of Software-Intensive Cyber-Physical Systems (Charles University, 2015) Research Venues: Active in PC member roles and track co-chair positions across conferences like ECSA, FAS*, SEAA, SASO, and ICSE. Organized workshops on evaluation metrics and data-driven software engineering. Scientific Contributions: Developed frameworks for dynamic component ensembles Advanced architectural homeostasis in adaptive systems Created toolchains for smart farming and traffic optimization Pioneered experiment-driven adaptation in cyber-physical systems Scientific Awards: Second place in ACM Student Research Competition (MODELS'14) Teaching: Offered graduate-level seminars on software architecture trends and IoT systems co-developed with Christian Prehofer.

Erhard Rahmمشاهده پروفایل

استاد

• Data Integration
• Knowledge Graphs
• Privacy-Preserving Data Analysis
• +۴ مورد دیگر

Prof. Dr. Erhard Rahm is a leading computer science academic at the University of Leipzig , affiliated with the Institute of Computer Science under the Faculty of Mathematics and Computer Science. With over 35 years of research contributions, he specializes in scalable data integration, privacy-preserving record linkage (PPRL), and graph analytics for knowledge graphs and digital twins. Key research areas: Data Integration for Knowledge Graphs, Privacy-Preserving Data Analysis, Dynamic Graph Management Recent work focuses on hybrid digital twins, medical image analysis, and secure health data processing 2016-2021: Speaker of GI's Database Systems and Information Systems division Scientific Contributions: His 15 most recent publications (2023-2025) span: Privacy-preserving machine learning (federated learning, PPRL with LLMs) Graph-based data transformations (Temporal Knowledge Graphs, Property Graph Streams) Automated schema matching and entity resolution systems Biomedical data applications (cell confluence assessment, stress detection) Selected Honors: VLDB Ten-Year Best Paper Award (2011) ICDE Influential Paper Award (2013) MSR Outstanding Collaborator Award (2016) Leadership Roles: Currently Vice President of the Gesellschaft für Informatik (since 2022), former DFG reviewer (2016-2024), and active in NFDI infrastructure (2019-2022). He leads research at ScaDS.AI, focusing on big data integration and scalable graph analytics.

Valentin Bertschمشاهده پروفایل

استاد

• Energy Systems Analysis
• Energy Economics
• Electricity Market Design
• +۵ مورد دیگر

Prof. Dr. Valentin Bertsch is a Professor and Chair of the Department of Energy Systems and Energy Economics at Ruhr University Bochum (RUB), Faculty of Mechanical Engineering. He also serves as a Research Affiliate at the Economic and Social Research Institute (ESRI) in Dublin, Ireland. His educational background includes a doctorate with distinction in Economics from the University of Karlsruhe (TH) in 2007, where he completed his thesis titled "Uncertainty Handling in Multi-Attribute Decision Support for Industrial Risk Management." He earned his degree in Technomathematics from the University of Karlsruhe (TH) and Université Joseph Fourier in Grenoble, France, and received a Higher Education Didactics Certificate from Baden-Württemberg Center for Higher Education Didactics in 2014. Prof. Bertsch's research focuses on energy systems analysis, energy economics, electricity market design, renewable energy integration, power system planning, demand response, and energy policy . His work bridges technical and economic aspects of energy systems, with particular emphasis on the integration of renewable energy sources, market design for future electricity systems, and the socio-economic aspects of energy transitions. His research employs advanced modeling techniques including stochastic optimization, agent-based modeling, and multi-criteria decision analysis to address complex energy system challenges. His recent publications demonstrate a strong focus on the challenges of integrating renewable energy into electricity markets, the role of demand response and flexibility, energy community models, and the socio-economic aspects of energy transitions. His work spans from technical system analysis to policy-relevant research with practical applications for energy market design and energy transition pathways. EEX Group Excellence Award 2023 for outstanding research in electricity market optimization Award for good teaching at KIT (2015/2016/2017) HECTOR Teaching Award 2013/2014 for excellence in energy education Prof. Bertsch actively participates in the scientific community as a member of the editorial board of the European Journal of Industrial Engineering and as a reviewer for numerous prestigious journals including Energy Policy, Applied Energy, and European Journal of Operational Research. He serves on the scientific advisory board of the Energy Research Area at Karlsruhe Institute of Technology (KIT) and is a member of the Management Board of the EERA Joint Programme "Energy Systems Integration" with responsibility for energy markets, modeling, policy and regulation. He leads the Chair of Energy Systems and Energy Economics at RUB, which conducts research on energy system modeling, market design, and policy analysis. The department collaborates with various research groups across Europe through the EERA Joint Programme and maintains strong connections with industry and policy makers to ensure research relevance and impact.

• Multimedia Databases
• Workflow Systems
• Business Intelligence
• +۳ مورد دیگر

Prof. Dr.-Ing. Robert Müller is a faculty member at the Faculty of Computer Science and Media of Leipzig University of Applied Sciences (HTWK Leipzig). His expertise lies in Multimedia Databases , with a focus on advanced data modeling and workflow integration techniques. Collaborated on industry projects like FoodBroker for synthetic datasets in business analytics Pioneered graph-grammar approaches for medical context representation Developed rule-based workflow systems for healthcare domains His research spans Workflow Systems , Knowledge-Based Modeling , and Graph-Based Analytics , as evidenced by publications in both computer science and health informatics. He actively contributes to academic projects through his technical leadership in database and process engineering.

• Business Model Innovation
• Open Innovation
• Industry 4.0
• +۷ مورد دیگر

Dr. Dirk Lüttgens is a Research Group Leader at the Institute for Technology and Innovation Management (TIM) within RWTH Aachen University's School of Business and Economics. He coordinates the interdisciplinary Excellence Cluster Internet of Production and specializes in business model innovation, open innovation ecosystems, and Industry 4.0 transformations. Focus on platform-based ecosystems and organizational change Expert in data spaces and digital transformation Collaborates extensively with industry partners His research explores strategic adaptation in disrupted markets, with case studies on credit unions, print media, and heavy industry. He investigates how firms leverage crowdsourcing, open ecosystems, and knowledge diversity to enhance innovation performance. Recent publications examine industrial IoT platform design, digital twin integration, and sustainability challenges in next-generation manufacturing. His work combines theoretical frameworks with practical implementation strategies for global organizations. Scientific Awards Hauschildt Award (2019) for empirical innovation research RWTH Best Lecturer Award Finalist for M-Price for Management Innovation (2013) Borchers Badge for outstanding PhD research DAAD scholarship recipient At ADG Business School, he teaches Digital Innovation & Business Transformation. His research spans governance structures in open ecosystems, team creativity in distributed problem-solving, and value creation in platform economies.

Martin Bastianمشاهده پروفایل

استاد

• Polymer Materials Technology
• Plastics Engineering
• Extrusion
• +۴ مورد دیگر

Prof. Dr.-Ing. Martin Bastian serves as Professor of Polymer Materials Technology at the University of Würzburg's Faculty of Chemistry and Pharmacy since 2011, concurrently directing SKZ – The Plastics Center in Würzburg since 2006. Leading approximately 450 employees with over 40 million € annual turnover, his work bridges academic research and industrial plastics innovation through state-of-the-art facilities. His educational foundation includes: 1982-1985: Toolmaker training (final grade: 1.0) 1987-1989: Mechanical engineering specialization in construction (final grade: 1.2) 1991-1996: Mechanical engineering with plastics focus at University of Paderborn (final grade: 1.5) 1996-2000: Doctorate on polymer blend morphology in twin-screw extruders (with honors) Bastian's research drives advancements in plastics processing across compounding, extrusion, injection molding, additive manufacturing, and sustainability. His work leverages industrial-scale pilot plants and specialized analytical laboratories to enhance product safety and manufacturing efficiency, with particular emphasis on component properties, joining technologies, and measurement systems for polymer applications. Publication trends from 1999-2010 reveal consistent focus on optimizing plastics processing through extrusion and compounding methodologies. His research progressively integrated advanced monitoring techniques like THz spectroscopy and infrared microscopy, demonstrating evolution from fundamental morphology studies toward real-time industrial process control and sustainability considerations. Scientific recognition includes: Doctoral graduation with honors (2000) Authoritative book publication on plastics coloring (2010) As active reviewer for DFG and AiF, Bastian contributes to research funding evaluation while maintaining industrial partnerships. His leadership extends to curatorships at Fraunhofer ISC and DKI, plus board membership at Iron Library Foundation, reflecting deep integration of academic and industrial plastics ecosystems. At SKZ, Bastian oversees comprehensive facilities including compounding, extrusion, injection molding, additive manufacturing, welding, and bonding pilot plants alongside chemical, thermal, mechanical, and rheological testing laboratories. These industry-oriented resources enable practical development of next-generation plastics production technologies.

Michael Rathمشاهده پروفایل

استاد

• Building energy technology
• Renewable energy systems
• Geothermal systems
• +۷ مورد دیگر

Prof. Dr. Michael Rath is Professor for Building Energy Technology at Hochschule Bochum since February 2022, affiliated with the Department of Civil and Environmental Engineering. He serves as Deputy Chairman of the Committee for Renewable Energy Systems, member of the Faculty Council, and member of several interdisciplinary institutes including the Interdisciplinary Institute for Applied AI and Data Science Ruhr (AKIS), DigiTeach Institute, and the Foundation Institute for the Energy Transition Institute (EnWI). His educational background includes parallel Diplom studies in Physics and Mathematics at Westfälische Wilhelms-Universität Münster (2004-2010), followed by doctoral research at Philipps-Universität Marburg (2010-2015) where he completed his dissertation on turbulence models. Prof. Rath's research spans building energy technology with a strong focus on renewable energy integration, particularly geothermal and solar systems. His work addresses climate-neutral energy systems through innovative approaches to district heating networks, thermal storage solutions, and machine learning applications for energy optimization. He investigates urban heat transition strategies, building automation, and sector coupling to achieve sustainable energy solutions for both new and existing buildings. His publication portfolio reveals consistent research output focused on practical energy solutions, with recent work emphasizing geothermal heat pump optimization, machine learning applications in energy systems, and district heating network design. The research demonstrates a clear trajectory toward integrated, climate-neutral urban energy systems with particular attention to forecasting methods, market-oriented operation, and thermal storage solutions. Prof. Rath actively supervises numerous bachelor's and master's theses, with recent students working on topics including thermal network modeling, sustainable hot water supply, summer heat protection measures, and photovoltaic integration effects on electricity prices. He also serves as second supervisor for doctoral candidates working on decarbonized district heating systems and hierarchical control strategies. He leads the Competence Center for Integrated Building Energy Technology at Fraunhofer IEG and is involved in significant research projects including EnOB: ARCHE (focusing on self-optimizing control systems for distributed energy systems) and the NRW Heat Study by LANUV, where he contributes to regional heat planning with a focus on developing cost frameworks for renovation measures.

• Cloud Computing
• Big Data Analytics
• Edge Computing
• +۵ مورد دیگر

Ashiq Anjum is Professor of Cloud Computing at the University of Derby's School of Computing and Mathematics. He has established himself as a leading researcher in cloud computing, big data analytics, and related fields with over 145 publications spanning from 2003 to 2025. His research has consistently focused on advancing cloud infrastructure, distributed systems, and data analytics techniques. Professor Anjum's research interests encompass Cloud Computing, Big Data Analytics, Edge Computing, Blockchain, Machine Learning, Video Analytics, Internet of Things, and Distributed Systems. His work bridges theoretical advancements with practical applications, particularly in developing efficient systems for data-intensive computing environments. He has made significant contributions to optimizing cloud resource management, developing novel approaches for blockchain storage, and creating efficient machine learning architectures for edge devices. His recent publications reveal a strong trend toward integrating AI/ML techniques with cloud and edge infrastructure, with particular emphasis on explainable AI, physics-informed neural networks, and energy-efficient computing. His work spans both theoretical foundations and practical implementations across various application domains including healthcare, security, and industrial IoT systems. Professor Anjum has collaborated extensively with researchers worldwide, with notable long-term collaborations with Richard McClatchey, Lu Liu, Richard Hill, and Nick Antonopoulos. His research has appeared in top-tier journals including Future Generation Computer Systems, IEEE Transactions on Cloud Computing, and Journal of Cloud Computing. His research group has developed innovative approaches for video analytics in cloud environments, blockchain-based storage solutions, and edge-enhanced deep learning systems. Current projects appear to focus on digital twin technologies, explainable AI for decision systems, and adaptive resource management for distributed computing environments.

• Internet of Things
• Edge Computing
• Cloud Security
• +۴ مورد دیگر

Richard Hill is a prominent researcher specializing in Internet of Things systems, edge computing architectures, and security protocols for distributed systems. His scholarly contributions span over a decade with consistent publication output through 2025, demonstrating ongoing research activity and academic leadership in computer science. His research interests focus on Industrial IoT optimization , edge intelligence , cybersecurity frameworks , and applied machine learning across industrial and educational contexts. Recent work demonstrates particular expertise in resource allocation models, authentication protocols for sensor networks, and educational applications of computing technologies. Hill's publication trends reveal strong interdisciplinary engagement, bridging computer science with industrial applications, healthcare diagnostics, and educational technology. His work frequently addresses real-world implementation challenges in IoT systems, cloud-edge architectures, and security protocols. As evidenced by his book publications including Guide to Industrial Analytics (Springer, 2021) and Edge Intelligence and the Industrial Internet of Things , Hill has established significant scholarly authority in his fields of expertise. His collaborative research network includes extensive partnerships with Hussain Al-Aqrabi, Ashiq Anjum, and other international researchers, with particular emphasis on UK-based educational applications and industrial implementations.

Manfred Madritschمشاهده پروفایل

پژوهشگر

• Number Theory
• Dynamical Systems
• Digital Expansions
• +۲ مورد دیگر

Manfred Madritsch is a Senior Researcher at Montanuniversität Leoben , Austria. Previously, he served as an Associate Professor at Université de Lorraine, France (2012–2025) and an Assistant Professor at TU Graz, Austria (2009–2012). His research focuses on number theory and dynamical systems , particularly digit systems, normal numbers, and pseudorandom sequences. Research Interests: His work bridges analytical number theory, digital expansions, and uniform distribution of sequences. He explores connections between number systems, ergodic theory, and computational methods, often applying probabilistic and dynamical approaches to arithmetic problems. Recent Publications emphasize limit theorems for integer partitions, pseudorandom binary sequences, and sum-of-digits functions in canonical number systems. These articles reflect interdisciplinary efforts combining number theory, statistics, and algorithmic analysis. Students: He has mentored several PhD students, including Renan Laureti (2019–2025, with Yann Bugeaud) Hichem Zouari (2021–2024, with Mohamed Hbaib) Youssef Sadrati (2019–2023, with Youness Lamzuri) Slim Jmal (2020–2021) Stefan Planitzer (2015) Teaching: Madritsch has lectured on algebra, analysis, differential equations, and statistical inference, developing course materials in French and English for subjects like Calculs et Mathématiques , Théorie Ergodique , and Statistical Inference .

Pascal Hoppeمشاهده پروفایل

پژوهشگر

• Environmental Chemistry
• Pollutant Transport Modeling
• Analytical Chemistry
• +۳ مورد دیگر

Pascal Hoppe is a doctoral student at the Helmholtz-Zentrum Hereon in the Inorganic Environmental Chemistry team. His research focuses on contaminant transport modeling in the Elbe River and pollutant distribution analysis across water, sediment, and suspended matter compartments.

• Bacterial Zoonoses
• Antimicrobial Resistance
• Brucellosis
• +۵ مورد دیگر

Gamal Wareth is an Associate Professor and Laboratory Manager at the Institute for Bacterial Infections and Zoonoses (IBIZ) under the Friedrich Schiller University Jena . He specializes in bacterial zoonoses, antimicrobial resistance, and pathogenicity mechanisms through a One Health approach, focusing on Brucella , Listeria , and Acinetobacter species. His work bridges veterinary, human, and environmental health. Wareth's research emphasizes the molecular epidemiology of zoonotic pathogens, including studies on Klebsiella pneumoniae resistance dynamics and Brucella genetic diversity in Iran and Egypt. He leads the National Reference Laboratory (NRL) for anthrax at IBIZ and collaborates on international projects analyzing bacterial transmission patterns. Recent publications highlight his contributions to understanding multidrug-resistant pathogens in agricultural systems, including precision livestock farming applications and bacterial motility's role in virulence. His work with UNODA (United Nations Office for Disarmament Affairs) underscores his expertise in high-risk biological agents.