جست‌وجوی استاد و پژوهشگر

Kevin Schneiderمشاهده پروفایل

استاد پژوهشی

• Power System Analysis
• Grid Modernization
• Microgrids
• +۵ مورد دیگر

Kevin Schneider is a Laboratory Fellow at Pacific Northwest National Laboratory (PNNL), a Research Professor at Washington State University (WSU), and an Affiliate Associate Professor at the University of Washington. As manager of PNNL's Office of Electricity Subsector, he leads business development, client relations, and strategic investments in R&D for the grid sector, overseeing portfolios in component design, system modeling, hierarchical controls, secure communications, and energy storage. Dr. Schneider is internationally recognized for his expertise in power system analysis, planning, and operations. His research focuses on improving grid reliability and system flexibility by harnessing advanced grid concepts at the edge of power systems, including microgrids, energy storage, electric vehicles, distributed energy resources, and smart home appliances. At WSU, he is a researcher for the WSU and PNNL Advanced Grid Institute (AGI), implementing layered control architectures to enhance operational flexibility of critical power systems. His work spans multiple disciplines within electrical engineering and power systems, with strong emphasis on practical applications for grid modernization, particularly in grid resilience, microgrid operations, and integration of distributed energy resources. Dr. Schneider is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), where he has served in multiple technical leadership roles. His scientific contributions have been recognized with significant awards: Presidential Early Career Award for Scientists and Engineers (PCASE), 2019 Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Dr. Schneider earned his B.S. in Physics and M.S. and Ph.D. in Electrical Engineering from the University of Washington. He is a licensed Professional Engineer in Washington State. His research has resulted in numerous patents related to power grid technologies, including several focused on voltage and frequency stability of distribution systems. His work has substantial implications for grid modernization efforts and the development of more resilient power systems in the face of climate change and other challenges.

• Data Journalism
• Digital Journalism
• Algorithmic Accountability
• +۷ مورد دیگر

Christina Elmer is Professor for Digital Journalism and Data Journalism at the Institute of Journalism, Technical University of Dortmund. Prior to her academic career, she held significant positions at DER SPIEGEL as Deputy Head of Development, Member of the Editorial Board of SPIEGEL ONLINE, Head of the Data Journalism Department, and Science Editor (2013-2021). She is recognized as a leading expert in data journalism, AI in media, and digital transformation of journalism. Elmer's research focuses on data journalism, algorithmic accountability, and the integration of artificial intelligence in journalistic workflows. Her work explores how digital transformation affects media production, distribution, and reception, with particular attention to user-centered journalism, ethical dimensions of digital media, and the development of editorial products. She has pioneered approaches to structured journalism and modular content creation that adapt to changing audience needs. Her recent publications examine AI's impact on journalism, methods for combating disinformation, and strategies for maintaining journalistic integrity in algorithmically mediated information ecosystems. Her work shows a clear trend toward investigating how journalism can maintain societal relevance while adapting to technological changes, with increasing focus on AI systems as both tools and challenges for quality journalism. scoop award of the nextMedia.Hamburg initiative, 2023 Helmut Schmidt Journalist Prize (second prize) for 'Blackbox Schufa', 2019 Philip Meyer Award (third place) for 'Hanna and Ismail', 2018 dpa-infografik Award for 'Die Pendlerrepublik', 2018 Journalistin des Jahres, Fachkategorie Wissenschaft, 2016 Deutscher Journalistenpreis Forst & Holz (Print), 2007 Elmer actively contributes to the journalism community as a board member of Netzwerk Recherche (serving as second chair 2021-2023), shareholder of AlgorithmWatch, and member of various advisory boards including Science Media Center Germany and MIP.labor. She frequently collaborates with students through the KURT student editorial team, guiding them in applying design thinking to develop new journalistic formats. Her approach emphasizes the importance of user-centered thinking while maintaining journalistic integrity in the digital age.

Ori Lahavمشاهده پروفایل

دانشیار

• Programming Languages
• Verification
• Concurrency
• +۴ مورد دیگر

Ori Lahav is a faculty member in the School of Computer Science at Tel Aviv University. His research is generously supported by an ERC Starting Grant and an ISF Grant. He actively supervises PhD and MSc students, and seeks highly motivated candidates for postdoc, PhD, and MSc positions in programming language theory, concurrency, and formal methods. Dr. Lahav completed his PhD at Tel Aviv University under the supervision of Arnon Avron. In 2014, he was a postdoctoral researcher at Tel Aviv University hosted by Mooly Sagiv. From 2014 to September 2017, he was a postdoctoral researcher at MPI-SWS in Germany hosted by Viktor Vafeiadis and Derek Dreyer. His primary research areas focus on programming languages and verification, with specialization in concurrency and relaxed memory models. He also has significant interests in proof-theory, semantics of non-classical logics, and automated reasoning. His work bridges theoretical foundations with practical applications in programming language design and implementation. Dr. Lahav's publication record shows a consistent trajectory of high-impact research in top-tier conferences including PLDI, POPL, OOPSLA, and ESOP. His recent work (2023-2025) demonstrates continued leadership in memory models, concurrency semantics, and verification techniques. His research spans both theoretical contributions in denotational semantics and practical tools for verification. Best Paper Award DISC 2024 Best Student Paper Award DISC 2024 Distinguished Artifact Award ESOP 2022 Distinguished Paper Award OOPSLA 2021 Kleene Award for Best Student Paper LICS 2013 Dr. Lahav actively advises students including Yoav Ben Shimon, Yotam Dvir, Amir Karniel, and Roy Margalit (PhD students), Yuval Katsman Ezra (MSc student), and has alumni including Ori Saporta (MSc) and Abhishek Kr Singh (postdoc, now Assistant Professor at IIIT Hyderabad). He has organized significant events including VMCAI 2024 and Dagstuhl Seminars on persistent programming. His teaching portfolio includes courses on Shared Memory Concurrency Semantics, Programming Language Foundations, and Software Foundations in Coq.

Anke Müllerمشاهده پروفایل

استاد

• Manufacturing Engineering
• Mechanical Engineering
• Hybrid Materials
• +۳ مورد دیگر

Prof. Dr.-Ing. Anke Müller is a Professor of Manufacturing Processes in Mechanical Engineering at the Faculty of Engineering, Hof University of Applied Sciences. She serves as Dean of the Faculty of Engineering and leads the MakerSpace and various laboratories including CNC Technology and Central Workshop. Current roles: Faculty Dean, Professor, MakerSpace Director Academic focus: Manufacturing engineering, hybrid materials, precision machining Key projects: Startuplab@FH, I²P² international partnership Education Diploma in Precision Engineering/Medical Technology from Wilhelmshaven University of Applied Sciences PhD (Dr.-Ing.) from Leibniz University Hannover on "Polishing ceramic knee implants with resilient diamond tools" Research interests center on advanced manufacturing technologies, particularly: Hybrid material systems (polymer-metal, fiber-metal composites) Precision machining and flexible tooling Lightweight die casting and thermal behavior analysis Innovative process development for intrinsic hybrid components Integration of data analysis in manufacturing education Scientific awards include: 2014 Förderpreis der Stiftung NiedersachsenMetall 2013 CIRP-BioM Best Paper Award 2011 ASPE Best Posterpaper Award 2010 IFW-Kooperationspreis

Michael Ottoمشاهده پروفایل

پژوهشگر

• Virtual Technologies for Production Planning
• Immersive Virtual Assembly Assessments
• Markerless Motion Capture Technologies
• +۳ مورد دیگر

Dr. Michael Otto is affiliated with the University of Ulm, Department of Computer Science, within the Faculty of Engineering. His research focuses on virtual technologies for production planning, immersive virtual assembly assessments, and markerless motion capture systems. He has contributed to projects like ARVIDA (Cost-efficient motion capture systems) and INTERACT (Human-centered workplaces). His work bridges computer science, manufacturing systems, and human factors. Key contributions include developing frameworks for motion capture, virtual reality benchmarking, and augmented reality applications in industrial contexts. Notable achievements include receiving the Best Industrial Paper award (2015) for his work on ubiquitous tracking using depth cameras. His research addresses challenges in assembly planning, ergonomic assessments, and spatial interaction in manufacturing environments. Education/Background: Former External PhD Candidate at University of Ulm. Research Interests: Dr. Otto’s work emphasizes practical applications of virtual and augmented reality in manufacturing. He explores how technologies like markerless motion capture and immersive environments can optimize assembly processes, enhance worker ergonomics, and improve production verification workflows. His projects often involve interdisciplinary collaboration with industry partners. Articles Overview: His publications (2014–2025) span topics such as augmented reality visualization, motion tracking algorithms, and VR-based simulation tools. These contributions highlight advancements in scalable systems, sensor fusion, and human-motion analysis within industrial contexts.

Craig Knoblockمشاهده پروفایل

استاد پژوهشی

• Knowledge Graphs
• Data Semantics
• Schema Alignment
• +۵ مورد دیگر

Craig Knoblock serves as Keston Executive Director of the Information Sciences Institute (ISI) at the University of Southern California (USC), Vice Dean of the USC Viterbi School of Engineering, and Research Professor of Computer Science and Spatial Sciences. He also directs the Data Science Program and the Center on Knowledge Graphs at USC. His educational background includes a Ph.D. and M.S. in Computer Science from Carnegie Mellon University (1991, 1988) and a B.S. with honors in Computer Science from Syracuse University (1984). Knoblock's research focuses on data semantics , specializing in source modeling, schema and ontology alignment, entity and record linkage, data cleaning, Web data extraction, and knowledge graph construction. His work bridges computer science, geospatial analysis, and artificial intelligence to solve complex data integration challenges. Recent projects emphasize historical map digitization, geospatial knowledge graphs, and smart city applications. His 300+ publications demonstrate consistent contributions to knowledge graphs and geospatial data integration, with a growing emphasis on historical map analysis and urban applications. The research trajectory shows increasing interdisciplinary collaboration across computer vision, geoinformatics, and domain-specific applications. IEEE Fellow (2020) ACM Fellow (2017) AAAI Fellow (2004) Robert S. Engelmore Memorial Lecture Award (2014) Donald E. Walker Distinguished Service Award (IJCAI, 2018) Use-Inspired Research Award (USC Viterbi, 2018) As Executive Director of ISI, Knoblock oversees one of USC's premier research centers with significant federal funding. His leadership extends to directing the Center on Knowledge Graphs and the Data Science Program. While specific grant details aren't provided, his extensive publication record and leadership roles indicate substantial research funding across data integration, knowledge representation, and geospatial applications. His work bridges theoretical computer science with practical applications in historical preservation, urban planning, and resource management through collaborative projects with government agencies and industry partners. Knoblock leads the Center on Knowledge Graphs at USC, focusing on developing techniques for building and utilizing knowledge graphs across diverse domains. His team combines expertise in artificial intelligence, geospatial analysis, and data integration to tackle challenges in historical map digitization, urban applications, and resource discovery. The research group maintains strong connections with both academic and government partners through the Information Sciences Institute's extensive network.

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.

• Building Permit Processes
• Digital Building Permits
• Building Information Modeling
• +۴ مورد دیگر

Judith Fauth is a researcher at the Technical University of Munich's Chair of Computing in Civil and Building Engineering, where she pioneers digital transformation in building permit processes through Building Information Modeling (BIM) and digital twin technologies. Her work bridges civil engineering, computer science, and public policy to streamline regulatory compliance across international contexts. Her research expertise spans Building Permit Processes , Digital Building Permits , Ontology Engineering , and Process Modeling , with emphasis on developing standardized frameworks for global permit system benchmarking. She investigates how semantic technologies and digital twins can automate regulatory compliance while accommodating regional variations in construction law and administrative practices. Analysis of her 2023-2025 publications reveals three dominant trends: (1) integration of digital building permits with digital building logbooks for lifecycle data management, (2) development of ontologies like OBPA for automated permit reviews, and (3) creation of taxonomies and process models (e.g., PACE-BP framework) enabling cross-national comparisons of permit systems. This work increasingly incorporates sustainability metrics and stakeholder-specific KPIs. Within TUM's research infrastructure, Dr. Fauth contributes to the BIM Lab and Digital Twinning research groups, collaborating on projects involving Gaia-X-based data frameworks and semantic modeling of the built environment. She teaches practical software development skills through the SoftwareLab course, preparing engineering students for digital construction workflows.

Pascal Hitzlerمشاهده پروفایل

استاد

• Neurosymbolic Artificial Intelligence
• Semantic Web
• Knowledge Graphs
• +۷ مورد دیگر

Pascal Hitzler is a University Distinguished Professor and holds the endowed Lloyd T. Smith Creativity in Engineering Chair at Kansas State University's Department of Computer Science, Carl R. Ice College of Engineering. He directs the Center for Artificial Intelligence and Data Science (CAIDS) and the Institute for Digital Agriculture and Advanced Analytics (ID3A). Previously, he held roles at Wright State University, Karlsruhe Institute of Technology, and TU Dresden. His research focuses on neuro-symbolic AI, semantic web technologies, knowledge graphs, and ontology engineering. Education: PhD in Mathematics (2001, University College Cork), Diplom in Mathematics (1998, University of Tübingen). Academic achievements include over 400 publications, founding editor roles for journals like Neurosymbolic Artificial Intelligence , and leadership in organizations like the Neural-Symbolic Learning and Reasoning Association. Research interests include AI explainability, knowledge representation, and interdisciplinary applications of semantic technologies. He leads the DaSe Lab for Data Semantics, advancing projects like the KnowWhereGraph and Enslaved.org Hub Knowledge Graph. His work bridges symbolic AI with neural networks, emphasizing practical applications in agriculture, environmental science, and historical data preservation. Grants and collaborations span academic, industrial, and international partners. He has advised numerous students and researchers, contributing to both theoretical advancements and real-world semantic systems deployments.

Christoph Diehlمشاهده پروفایل

پژوهشگر

• Synthetic Biology
• Biocatalysis
• Metabolic Engineering
• +۶ مورد دیگر

Dr. Christoph Diehl is a researcher at the Faculty of Chemistry , affiliated with the Organic Chemistry and Biocatalysis Group at the University of Bielefeld . His work focuses on synthetic biology and biocatalysis, particularly in developing biochemical systems for CO 2 fixation and complex molecule synthesis. Current Affiliation: University of Bielefeld, Faculty of Chemistry Research Group: Organic Chemistry and Biocatalysis / Center for Biotechnology (CeBiTec) Research Interests Dr. Diehl specializes in: Designing synthetic CO 2 fixation cycles (THETA, HOPAC) Developing in vitro biochemical networks Engineering biocatalytic enzyme cascades Optimizing carbon utilization for chemical production Integrating machine learning with metabolic engineering Creating cell-free systems for biomanufacturing Publication Trends His recent work emphasizes synthetic CO 2 fixation pathways, biocatalytic cascade design, and machine learning-guided optimization of metabolic systems. He has pioneered modular approaches for terpene/polyketide synthesis from CO 2 and developed novel carboxylation modules.

Mike Barthمشاهده پروفایل

استاد

• Automation Technology
• Control Systems
• Cyber-Physical Systems (CPS)
• +۵ مورد دیگر

Prof. Mike Barth is a Professor for Networked Secure Automation Technology at the Karlsruhe Institute of Technology (KIT), affiliated with the Department of Electrical Engineering and Information Technology (ETIT) and the Institute for Control Systems (IRS). His academic background includes a doctorate from Helmut Schmidt University (2011) and a master's degree from Pforzheim University (2008). He previously held roles as a researcher at ABB and as a professor at Pforzheim University, focusing on blended learning and Industry 4.0 integration. Education: PhD in Automation Technology, Helmut Schmidt University (2011) M.Sc. in Product Development, Pforzheim University (2008) Diploma in Mechanical Engineering, Pforzheim University (2006) Research Interests: Automation technology, control systems, Industry 4.0, cyber-physical systems, digital twin engineering, cybersecurity, and IoT protocols. Teaching: Courses include System Modeling, Cyber Physical Production Systems, and Digital Twin Engineering. His research emphasizes secure automation architectures, decentralized systems, and model-based engineering. He chairs multiple committees including IFAC TC3.1 and the VDI/VDE Society for Measurement and Automation. Over 50+ publications span topics like simulation models, industrial security, and robotic integration. Labs/Teams: Leads the IRS Automation Technology team, focusing on innovation in control systems and digital twin applications.

• Evolutionary Computation
• Genetic Programming
• Robotics
• +۵ مورد دیگر

Eric Medvet is a professor specializing in evolutionary computation, genetic programming, and robotics. He is actively involved in research areas such as neuroevolution, soft robotics, and modular robotics. His work bridges theoretical advancements in evolutionary algorithms with practical applications in robotics and AI. Roles: Conference chair for EuroGP (2020-2022), co-chair of multiple workshops and sessions. Key Research: Focus on genetic programming, embodied intelligence, and the design of adaptive robotic systems. Research Interests: His work emphasizes the development of scalable and interpretable AI systems, particularly through evolutionary methods applied to robotics. He explores topics like neuroevolution for soft robots, quality diversity algorithms, and the integration of machine learning with evolutionary computation. Publications: His recent work highlights trends in interpretable AI, modular robotics control, and evolutionary algorithms for complex systems. Notable contributions include studies on MAP-Elites, graph-based genetic programming, and the application of LLMs in automated testing. Grants & Labs: Developed frameworks like JGEA for evolutionary computation experiments. Collaborates on projects integrating evolutionary methods with real-world robotics applications.

• Aircraft Systems Engineering
• Avionics
• Integrated Modular Avionics (IMA)
• +۱۲ مورد دیگر

Prof. Dr.-Ing. Frank Thielecke is a full Professor and the head of the Institute of Aircraft Systems Engineering (Flugzeug-Systemtechnik) at Technische Universität Hamburg (TUHH), Germany. His research is centered on advanced aircraft systems, avionics, flight control, and the integration of emerging technologies such as hydrogen and hybrid-electric propulsion. Institution: Technische Universität Hamburg Department: Institute of Aircraft Systems Engineering (Flugzeug-Systemtechnik) Email: frank.thielecke@tuhh.de Office: Neßpriel 5, Room 1.012, 21129 Hamburg His research interests include integrated modular avionics (IMA), model-based systems engineering (MBSE), aircraft load estimation, health monitoring, fault diagnosis, and sustainable aviation technologies. He leads a research group actively contributing to next-generation aircraft design, with a strong focus on digitalization, virtual testing, and system safety. The recent publications highlight a consistent trend in developing model-based tools and architectures for avionics and aircraft systems. Key themes include the design of IMA platforms, virtual integration, system validation, hydrogen aircraft systems, and control algorithms for UAVs and flexible aircraft. His work frequently appears in AIAA, DASC, DLRK, and CEAS conferences and journals. Prof. Thielecke has been involved in numerous collaborative research projects focusing on more-electric aircraft, fuel cell systems, and advanced actuation. He has contributed to the development of frameworks such as ASHLEY and SArA for avionics platform design and systems architecting. His team also works on noise reduction in hydraulic systems and condition monitoring for aircraft subsystems. He supervises a group of researchers and PhD students, many of whom co-author his publications. While specific student names are not listed, long-term collaborators like Oliver Luderer, Thimo Bielsky, Nils Külper, and Philipp Chrysalidis are likely doctoral candidates or postdoctoral researchers in his group. He has secured funding for projects related to hydrogen aircraft, hybrid propulsion, and digital avionics engineering. His lab, the Institute of Aircraft Systems Engineering, operates test benches for avionics, hydraulic systems, and flight control validation. The team uses advanced simulation, co-simulation (e.g., FMI), and hardware-in-the-loop techniques for virtual integration and testing. Ongoing work includes the development of tools for early validation of flight control platforms and automated requirement-based testing.

• Case-Based Reasoning (CBR)
• Artificial Intelligence
• Multi-Agent Systems
• +۴ مورد دیگر

Dr. Pascal Reuss is a Researcher at the Intelligent Information Systems (IIS) Division within the Institute of Computer Science , University of Hildesheim . His work focuses on Case-Based Reasoning (CBR) systems, Multi-Agent Systems , and Knowledge Management applications. Active in CBR framework development and game-based AI research Teaching Computer Science III (Databases) for winter 2025/26 Participating in university sustainability initiatives like Stadtradeln 2024/25 Reuss contributes to AI education through practical implementations in gaming environments and has developed visualization tools for CBR agent behavior. His research spans multi-agent collaboration , dynamic case bases , and domain-specific language implementations for knowledge maintenance. Notable contributions include: Co-developing the FEATURE-TAK framework for knowledge extraction Designing case factories for distributed CBR systems Implementing finite state machines for tactical game agents Creating CBR-based fitness planning systems His work appears in various CBR and Game Development publications from 2011-2024. The research demonstrates practical applications of CBR in aircraft maintenance diagnostics , training plan generation , and educational technology contexts.

Riddhi Dasمشاهده پروفایل

پژوهشگر

• Soft Robotics
• Biomimetic Robotics
• Autonomous Systems
• +۳ مورد دیگر

Riddhi Das is a Postdoctoral Researcher at the University of Freiburg, affiliated with the Cluster of Excellence liv MatS (Freiburg Center for Interactive Materials and Bioinspired Technologies). Their research focuses on soft robotics, particularly the design, fabrication, and actuation of pneumatic soft robots. Current work emphasizes developing soft autonomous machine (SaM) systems with integrated logic gates and sensors for environmental interaction. Key research interests include biomimetic robotics inspired by biological systems such as seahorses and earthworms, peristaltic locomotion in granular media, and modular robotics for multi-terrain environments. The lab aims to merge advancements from liv MatS research areas into fully operational autonomous robotic systems. Publications highlight innovations in bioinspired robotics, granular medium locomotion, and programmable materials. While no awards are explicitly mentioned, their work aligns with cutting-edge interdisciplinary robotics research. Advising and grants details are not provided in the text. The lab is part of the liv MatS initiative, focusing on interactive materials and bioinspired technologies.