جست‌وجوی استاد و پژوهشگر

• Telemedicine
• Clinical Informatics
• Chronic Disease Management
• +۳ مورد دیگر

Prof. Dr. med. Henning Schneider serves as a Professor at the Technical University of Central Hesse (THM), School of Health, with his office located at Ostanlage 45, Building B14, Room 2.07. His research spans telemedicine systems for chronic disease management, rare disease monitoring, and clinical informatics, with significant publications in emergency medicine technology and respiratory care. His primary research interests include: Telemedicine implementation for COPD and rare diseases Clinical data interoperability and EHR optimization Digital health solutions for pre-hospital emergency care Predictive modeling in chronic disease management IT-supported clinical trial recruitment systems Analysis of his 15 most recent publications (2015-2024) reveals consistent focus on telemonitoring technologies for respiratory diseases, evolving into rare disease awareness systems (RD-MON) and drone-based emergency response tools. His work emphasizes practical clinical integration, with methodologies centered on semantic interoperability (LOINC/FHIR), user acceptance studies, and health economic evaluations. Regarding academic mentorship, no doctoral students or formal advisees are documented in the provided materials. His collaborative research involves institutions across Germany, with frequent co-authorship with Sohrabi, Blasini, and Marquardt, though specific grant details remain unreported. Current projects appear centered on VR tolerability assessment and IT-enhanced trial recruitment, reflecting ongoing engagement with emerging health technologies.

Oliver Müllerمشاهده پروفایل

استاد

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

Prof. Dr. Oliver Müller serves as Chair of Business Information Systems, especially Data Analytics, at the University of Paderborn within the Faculty of Economics . His research focuses on sociotechnical approaches combining machine learning with human decision-making, sustainable energy systems, and sports analytics. Human-AI Interaction AI for Sustainable Energy Sports Analytics Process Mining & Digital Transformation His team operates the soda.lab – a high-performance computing lab with GPUs for deep learning and real-time visualization. Current projects include DC2HEAT (Data Center Heat Recovery), HeatTransPlan (Industrial Heat Supply Transformation), and KIAM (AI Competence Center for Industrial SMEs). His group has successfully supervised doctoral candidates like Matthew Caron and Dirk Leffrang. Their recent publications analyze causal machine learning for energy systems, uncertainty visualization in forecasting, and algorithmic advice utilization. They received three international awards in 2021 for AI and social media research, plus multiple teaching recognitions (2021, 2020). Prof. Müller's team collaborates with industry partners including FORVIA HELLA, hellblau Software GmbH, and Böllhoff.

Johannes de Boorمشاهده پروفایل

استاد

• Thermoelectrics
• Photovoltaics
• Synthesis of Nanoparticles
• +۲ مورد دیگر

Johannes de Boor is a Professor at the University of Duisburg-Essen’s Faculty of Engineering, affiliated with the Institute of Nanostructure Technology (NST), and a researcher at the German Aerospace Center (DLR) Institute of Materials Research. His work focuses on thermoelectrics, photovoltaics, and nanoparticle synthesis, with a particular emphasis on energy conversion materials and device optimization. Education: Physics, University of Rostock (2001–2006) MPhil Research, University of Queensland (2007, DAAD scholarship) Doctorate, Max Planck Institute of Microstructure Physics (2008–2011) His research explores thermoelectric materials like MgAgSb, Mg₂(Si,Sn), and Fe₂VAl composites, targeting enhanced power factors, stability, and interface design. Recent publications highlight innovations in band convergence, energy filtering, and electrode compatibility. Key trends in his 15 most recent articles (2025–2020) include advanced computational modeling for electronic transport, phase stability analysis in Mg-based alloys, and electrode optimization for thermoelectric generators. Collaborative studies with institutions in Australia, Germany, and Japan underscore his international impact. Scientific Awards: 2011 Young Talent Award, German Thermoelectric Society 2016 Outstanding Poster Award, ICT, Wuhan China 2018 Poster & Lecture Prizes (WE-Heraeus Seminar, ICT2018, ISCTA 2018) 2021 Young Investigator Award, International Thermoelectric Society As a reviewer for journals like ACS Applied Materials & Interfaces and Energy Conversion and Management , and session chair at major conferences (ICT, ECT), de Boor contributes to advancing thermoelectric research. He leads the DLR junior research group 'Thermogenerators for Space Applications' and mentors students in materials science and device engineering.

Stefan Geislerمشاهده پروفایل

استاد

• Human-Machine Interaction
• Natural User Interfaces
• Usability Engineering
• +۶ مورد دیگر

Stefan Geisler is a Professor at Ruhr West University of Applied Sciences since 2010. He holds the professorship for Applied Computer Science / Human-Machine Interaction and serves as Program Director for the Human-Technology Interaction program. Since 2016, he has led the Positive Computing Research Institute , contributes to the Intelligent Mobility research program , and directs the Media and Interaction Department in the North Rhine-Westphalian doctoral program. Research Focus: Human-Machine Interaction (HMI), Natural User Interfaces (NUI), Usability Engineering, Automotive HMI, and Intelligent Mobility. Projects: Golden Rules in Automotive HMI, PARCURA (smart glasses in hospitals), UsAHome (home HMI systems), BMBF-funded AHA project (safety-critical interfaces), and intercultural/intergenerational innovation development. Collaborations: FH Struktur, IQPC Conference, CAMO network, and North Rhine-Westphalian doctoral program. Teaching: Covers the entire usability engineering lifecycle, emphasizing user testing integration and intuitive interface design. Publication Trends: Focus on automotive HMI optimization, gesture-based interaction, user experience in mobility systems, and human-centered design for safety-critical applications. Subfields include driver assistance systems, natural user interfaces in automated vehicles, and usability testing methodologies. Leadership: Directs the Positive Computing Research Institute and the Media and Interaction Department. Supervises doctoral research in intercultural innovation and automotive NUI development.

Wolfram Wingerathمشاهده پروفایل

پژوهشگر

• Real-Time Databases
• Stream Processing
• NoSQL Data Stores
• +۵ مورد دیگر

Wolfram Wingerath is a Professor for Data Science at the University of Oldenburg (since 2022) and previously served as Head of Data Engineering & Research at Baqend GmbH (2018-2022). He earned his PhD in Computer Science (2019) from the University of Hamburg, focusing on scalable push-based real-time query systems (InvaliDB). His research interests include: Real-time databases and stream processing NoSQL and polystore systems Web performance optimization Probabilistic data management Cloud computing and distributed systems Key publication trends show expertise in real-time data architectures, caching mechanisms, and performance engineering. Notable collaborations include Benjamin Wollmer and Felix Gessert . He has advised 49+ student theses and served on PC committees for ICDE, VLDB, and EDBT. His editorial roles include membership on Datenbank-Spektrum and organizing the BTW 2025 Data Science Challenge .

Daniele Bernardiniمشاهده پروفایل

پژوهشگر

• Robotics
• Neurorehabilitation
• Machine Learning
• +۳ مورد دیگر

Daniele Bernardini is a researcher at the School of Engineering and Design, Technical University of Munich (TUM), contributing to Healthcare and Rehabilitation Robotics under Prof. Cristina Piazza. He co-founded and leads Cognivix, a startup focused on industrial automation for high-variability/low-volume production. Education : M.Sc. in Theoretical Physics, University of Florence (1997) Ph.D. candidate in Computation, Information and Technology, TUM (since 2022) Research Focus : Robotic perception for manipulation tasks Deep learning in grasping systems 6D pose estimation techniques Photovoltaic energy management frameworks Recent Publication Trends : His 2022-2024 work spans robotics (6D pose estimation, bionic hands), machine learning (deep reinforcement learning), and energy systems (photovoltaic optimization), reflecting interdisciplinary efforts between AI and industrial applications.

Wolfgang Kellererمشاهده پروفایل

استاد

• Communication Networks
• Software Defined Networking (SDN)
• Network Function Virtualization (NFV)
• +۷ مورد دیگر

Prof. Dr.-Ing. Wolfgang Kellerer is a full professor at the Chair of Communication Networks within the Department of Computer Engineering , TUM School of Computation, Information and Technology . He also serves as an adjunct professor in the Department of Informatics. His research focuses on adaptive, programmable communication networks, particularly Software Defined Networking (SDN) , Network Function Virtualization (NFV) , and 6G technology . He has contributed to quantifying network flexibility and AI-driven network management. Member of the ERC Peer Review Panel (2023-2024) Scientific Director of TUM Venture Lab Robotics/AI/Communication (2020-present) Editorial roles: IEEE Transactions on Network and Service Management , IEEE Communications Surveys & Tutorials His research spans from 5G to 6G , emphasizing ultra-low latency, resilience, and cross-layer optimization. Key projects include 6G-life , 6G Future Lab Bavaria , and ERC FlexNets , with over 300 publications and 40 patents. Scientific Awards include the ERC Consolidator Grant (2015) , IEEE Fellow (2025) , and multiple best paper awards at IEEE/IFIP CNSM, IEEE Future Networks, and ACM SIGCOMM.

Stephan Kruscheمشاهده پروفایل

استاد

• Educational Technologies
• Software Engineering
• Human-Computer Interaction
• +۷ مورد دیگر

Prof. Dr. Stephan Krusche is a faculty member at the Technical University of Munich (TUM) with the Professorship of Applied Education Technologies in the TUM School of Computation, Information and Technology . He conducts research at the intersection of educational technologies, software engineering, human-computer interaction, and artificial intelligence. Born: 1986 Email: krusche@tum.de Research Interests Education Technologies: Artemis platform, Iris chatbot Software Engineering: Agile development, DevOps, Continuous Delivery Human-Computer Interaction: User experience, Interactive systems AI Applications: Automated feedback, Learning analytics Recent Publications focus on AI-driven educational tools, interactive learning methodologies, and software engineering pedagogy. He organizes international summer schools and serves on the board of directors of the European Society for Engineering Education (SEFI). Scientific Honors Angela Molitoris Diversity Award (2024) Best practitioner report award (2023) Ernst Otto Fischer Teaching Award (2021) Ars Legendi Prize (2020) Pandemic teaching award (2020) Advising covers 60+ theses on topics including Artemis platform development, collaborative systems, and mobile education technologies. He actively promotes diversity through initiatives like ExploreTUM , she.codes , and HackerSchool .

Andy Wittمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Cost Engineering
• Sustainable Production
• +۴ مورد دیگر

Andy Witt serves as Professor of Business Informatics with a focus on Digitalization at Hamburg School of Business Administration (HSBA) since September 2023. His academic foundation includes a Computer Engineering degree from Hamburg University of Technology (TU Hamburg) specializing in applied mathematics and physics, followed by doctoral research at the same institution from 2013-2017. His educational background includes: Computer Engineering studies at TU Hamburg with concentration in applied mathematics and applied physics Doctoral research (2013-2017) applying nonlinear Schrödinger equations to model extreme ocean wave phenomena Professor Witt's research spans Nonlinear Dynamics, Cost Engineering, Sustainable Production, Machine Learning, and Big Data Analysis. His work demonstrates a clear evolution from theoretical physics toward industrial applications, particularly in digitalizing production systems and integrating sustainability metrics into cost engineering frameworks. Current research emphasizes AI-driven optimization for sustainable industry practices. Analysis of his publication history reveals a strategic shift from fundamental wave dynamics research (2019-2022) toward applied industrial informatics (2021-2023), with growing emphasis on carbon footprint quantification, fusion energy economics, and sustainable manufacturing systems. This trajectory reflects his dual expertise in physical modeling and business-oriented digital solutions. Professor Witt founded and serves as managing director of CALC4XL GmbH, which develops the namesake software platform for integrated product cost and carbon footprint calculation. This venture directly supports his academic mission by providing industry-tested tools for sustainable product optimization, bridging theoretical research with practical business applications in industrial digitalization.

• Numerical Analysis
• Sparse Grids
• Machine Learning
• +۳ مورد دیگر

Prof. Dr. Michael Griebel is a leading academic at the Institute for Numerical Simulation (INS) at the University of Bonn , Germany. His work focuses on numerical methods for partial differential equations (PDEs), sparse grid techniques, and applications in computational science, machine learning, and materials modeling. Research Interests : Numerical analysis, sparse grids, high-dimensional approximation, tensor product methods, stochastic processes, and multiscale simulations. Collaborations : Co-author of over 50 publications with researchers in computational mathematics, fluid dynamics, and quantum chemistry. Prominent research trends include advancements in sparse grid methods for uncertainty quantification, kernel-based regression, and efficient solvers for ill-posed problems. His work on space-filling curves and domain decomposition enables scalable parallel algorithms for complex simulations. Scientific Contributions : Editor of 10+ volumes in Lecture Notes in Computational Science and Engineering . Co-developer of the EXAHD exascale sparse grid framework for plasma physics simulations. Foundational work on tensor product spaces and their applications to electronic structure theory. Innovations in adaptive wavelet solvers and parallel multigrid methods. Software and Projects : Key developer of sparse grid solvers and adaptive algorithms. His INS Preprint Series archives over 200 technical reports, reflecting his group’s impact on computational methods.

Thomas Andreas Herrmannمشاهده پروفایل

استاد

• Socio-technical Systems
• Human-Computer Interaction
• Knowledge Management
• +۵ مورد دیگر

Prof. Dr.-Ing. Thomas Andreas Herrmann is a faculty member at the Department of Information and Technology Management (IMTM) within the Institute of Applied Work Science (IAW) at Ruhr-University of Bochum, Germany. With a career spanning decades, he specializes in socio-technical systems, human-computer interaction, and collaborative process design. Education : Master of Communication Science (1983) at University of Bonn, PhD in Computer Science (Software Engineering) at Technical University of Berlin (1986) Key Research : Design of socio-technical processes, creativity enhancement in service engineering, human-centered AI, privacy in collaborative systems, and organizational knowledge management. Article Trends : Recent work focuses on AI integration in socio-technical contexts, hybrid collaboration environments, and ethical system design. His publications bridge theoretical frameworks (e.g., heuristic evaluation) with practical applications in healthcare, education, and industrial settings. Grants & Projects : Led initiatives like KoLiBRI , MARIS , and SeeMe , funded by entities such as the German Federal Ministry of Education and Research (BMBF) and the European Union.

Lindsey Kuperمشاهده پروفایل

استادیار

• programming languages
• distributed computing
• concurrency
• +۵ مورد دیگر

Lindsey Kuper is an Assistant Professor in the Computer Science and Engineering Department at the Baskin School of Engineering, University of California, Santa Cruz. Her research bridges programming languages, distributed systems, and software verification with a focus on developing programming-language-based approaches to building concurrent and distributed software systems that are elegant, correct, and efficient. Her research interests center around programming languages, distributed computing, concurrency, parallelism, and software verification. Recent projects include library-level choreographic programming (in Haskell, Rust, and TypeScript), dependently-typed diagrams for inductive reasoning about concurrent executions, and expressing and verifying causal message delivery with refinement types. Her group's research has been supported by an NSF CAREER Award, a Stellar Development Foundation Academic Research Grant, a Google Faculty Research Award, and a gift from Amazon Web Services. She leads the CASL (Concurrency and Safety Lab) group, part of the larger Languages, Systems, and Data (LSD) Lab at UC Santa Cruz. NSF CAREER Award Stellar Development Foundation Academic Research Grant Google Faculty Research Award ICFP 2023 Distinguished Paper Award Professor Kuper advises multiple PhD students including Jonathan Castello, Tim Goodwin, Nathan Liittschwager, Patrick Redmond, Gan Shen, and Yan Tong. She previously supervised MS student Shun Kashiwa (who completed his thesis on ChoRus in 2024) and BS student Ali Ali (who graduated in 2024). She teaches courses including Foundations of Programming Languages, Distributed Systems, and Programming Abstractions at UC Santa Cruz. The CASL research group (which stands for Concurrency and Safety Lab, Creative, Ambitious Systems and Languages, or other creative expansions) focuses on building reliable distributed systems through programming language techniques. The group's work emphasizes safety, correctness, and efficiency in concurrent and distributed programming contexts.

Manu Sridharanمشاهده پروفایل

استاد

• Programming Languages
• Software Engineering
• Program Analysis
• +۴ مورد دیگر

Manu Sridharan is a Professor of Computer Science and Engineering at the University of California, Riverside, where he leads research in programming languages and software engineering. He is a member of the RIPLE research group and actively recruits PhD students for cutting-edge research in software reliability, security, and performance. Prior to his academic career, Sridharan worked at prominent industry research labs including IBM Research, Samsung Research America, and Uber, where he developed practical tools like NullAway to eliminate Java null pointer errors. His research focuses on developing tools and techniques to make large-scale software more reliable, performant, secure, and maintainable. Sridharan's work spans static analysis, program verification, type systems, memory safety, and resource management. He has made significant contributions to JavaScript analysis, call graph construction, nullability checking, and resource leak detection. His research bridges theoretical foundations with practical applications, resulting in tools that have been deployed in industry settings. Sridharan's publication record shows a consistent trajectory of high-impact research in top venues like PLDI, OOPSLA, ECOOP, and FSE. His recent work (2021-2025) demonstrates continued innovation in static analysis techniques, particularly in nullability inference, taint analysis, resource management, and call graph construction. His research shows a clear progression from foundational program analysis techniques to increasingly practical and deployable tools that address real-world software engineering challenges. Outstanding Artifact Award for Effective Race Detection for Event-Driven Programs (OOPSLA 2013) Best Paper Award for Predicting your own effort (AAMAS 2012) Best Paper Award for Debugging overconstrained declarative models using unsatisfiable cores (ASE 2003) Sridharan has mentored numerous students through their academic journeys, including current PhD candidates and Master's students working on cutting-edge research problems. His former PhD student Narges Shadab graduated in 2023. He has served in leadership roles for major conferences, including as Program Committee Chair for ECOOP 2021 and Area Chair for ECOOP 2022. His research has been supported by various grants that enable his team to pursue ambitious projects in program analysis and software engineering. As a member of the RIPLE research group at UC Riverside, Sridharan collaborates with other faculty and students on interdisciplinary projects that span programming languages, systems, and security. His team's work often involves building practical tools that can be deployed in real-world settings, as evidenced by his industry experience and tools like NullAway that were developed during his time at Uber.

Rupak Majumdarمشاهده پروفایل

پژوهشگر

• Formal Verification
• Computer-Aided Verification
• Reactive Systems
• +۱۰ مورد دیگر

Rupak Majumdar is a Scientific Director at the Max Planck Institute for Software Systems (MPI-SWS), with a distinguished career in formal verification, control systems, and programming languages. His research spans reactive, real-time, hybrid, and probabilistic systems, focusing on verification and synthesis problems in distributed and concurrent environments. Majumdar earned his B.Tech. in Computer Science from IIT Kanpur (where he received the President’s Gold Medal) and his Ph.D. from UC Berkeley (awarded the Leon O. Chua Award). His work has been recognized through prestigious honors including an NSF CAREER Award, Sloan Fellowship, ERC Synergy Grant, and Most Influential Paper Awards from PLDI and POPL. Research Areas: Formal Verification, Hybrid Systems, Stochastic Systems, Programming Languages, Automata Theory Leadership: Scientific Director, MPI-SWS; ISEC 2026 PC Chair His publications address critical problems in software verification, with recent work focusing on probabilistic systems, distributed protocol testing, and reinforcement learning for formal methods. Awards and grants reflect his impact on computer science and software engineering. Current students include Mahmoud Salamati, Ashwani Anand, V.R. Sathiyanarayana, and Mohammad Khoshechin, while graduated advisees hold positions at institutions like Amazon, Google, and academic research centers. Scientific Awards: President’s Gold Medal (IIT Kanpur) Leon O. Chua Award (UC Berkeley) NSF CAREER Award Sloan Foundation Fellowship ERC Synergy Award Distinguished Alumnus Award (IIT Kanpur) Most Influential Paper Awards (PLDI, POPL) Best Paper Awards (SIGBED, EAPLS, SIGDA)

Krishna Narasimhanمشاهده پروفایل

پژوهشگر

• Secure programming
• Programming Languages
• Static Analysis
• +۵ مورد دیگر

Krishna Narasimhan is a Researcher at the Software Technology Group within Technical University of Darmstadt, Germany, focusing on developer struggles with cryptographic APIs and secure programming practices. He plays a key role in the CogniCrypt framework development, an Eclipse Foundation project designed to help developers use crypto APIs securely. His research spans secure programming, programming languages, static analysis, source code transformation, and domain-specific languages. His work demonstrates a clear progression from foundational research in program transformation during his PhD to practical applications in API security and developer tooling. Recent work shows growing interest in AI-assisted development and machine learning bug detection. His publication record reveals consistent contributions to major software engineering venues (ECOOP, SPLASH, ICSE), with recent papers examining trustworthy AI software development, misuse-resilient APIs, and code generation from test specifications. The research shows strong emphasis on practical tools that address real-world developer challenges rather than purely theoretical contributions. Narasimhan maintains active service in the research community as a committee member for artifact evaluation at numerous conferences including ECOOP, PLDI, ISSTA, and SPLASH, demonstrating recognition of his expertise in experimental methodology and reproducibility. His career path includes industry experience as a Language Engineer at Itemis developing Mbeddr (an embedded DSL platform), followed by return to academia where he now bridges practical tool development with academic research. His PhD work focused on semi-automatic tools for source code evolution tasks like copy-paste abstraction and data representation migration.