جست‌وجوی استاد و پژوهشگر

Gabriele Roth-Dietrichمشاهده پروفایل

استاد

• Business Informatics
• Business Process Management
• Enterprise Software
• +۶ مورد دیگر

Prof. Gabriele Roth-Dietrich is a Professor of Business Informatics at the Faculty of Computer Science, Mannheim University of Applied Sciences. She has held academic positions at multiple institutions including Hochschule Heilbronn and the Steinbeis-Transferzentrum MyeBusiness. Her research focuses on digital transformation, business process optimization, enterprise software (notably SAP systems), and machine learning applications in business analytics. Education highlights include a PhD in Business Administration from the University of Mannheim (2002–2003) and a Physics diploma from Heidelberg University (1989–1994). She is certified as a SAP ERP Solutions Consultant (2005). Her research interests span business model innovation enabled by IT, energy management optimization via machine learning, and practical applications of AI in automotive and platform-based businesses. Key contributions include comparative analyses of BI tools and enterprise software solutions. Publications emphasize data-driven decision-making frameworks and digital strategy implementation. She actively contributes to academic conferences and has authored textbooks on applied business informatics methodologies.

• Parallel Computing
• Distributed Systems
• High-Performance Computing (HPC)
• +۵ مورد دیگر

Torsten Hoefler is a Professor affiliated with ETH Zurich, leading research in parallel computing, distributed systems, and high-performance computing (HPC). His work bridges theoretical foundations and practical implementations, focusing on optimizing algorithms, network topologies, and hardware-software co-design. Research Interests: His primary areas include parallel algorithms, distributed systems, machine learning infrastructure, and network architectures. He emphasizes scalable solutions for large-scale applications, particularly in data-centric computing and serverless environments. Publications: Recent work highlights include innovations in network topologies (e.g., HammingMesh), serverless benchmarking frameworks (SeBS), and optimizations for large language models (LLMs). His publications often address performance bottlenecks and energy efficiency in HPC and cloud systems. Awards & Grants: While no specific awards are listed here, his prolific publication record and leadership in HPC indicates significant recognition in the field. Active in grant-funded projects related to exascale computing and AI infrastructure. Labs & Teams: Leads the Communication Systems Lab at ETH Zurich, collaborating with industry partners like NVIDIA and IBM on hardware-accelerated computing and cloud-native systems.

Bimal Viswanathمشاهده پروفایل

دانشیار

• Machine Learning Security
• Privacy
• Adversarial Attacks
• +۲ مورد دیگر

Dr. Bimal Viswanath is an Associate Professor in the Department of Computer Science at Virginia Tech. His research focuses on security and privacy aspects of large online services, particularly at the intersection of machine learning and security. His work covers three main directions: attacks using ML, attacks on ML systems, and ML for improved security/privacy. He has received multiple awards including the Distinguished Paper Award at SOUPS 2014 and Best Paper Award at COSN 2015. Dr. Viswanath completed his Ph.D. in Computer Science at the Max Planck Institute for Software Systems and was a postdoctoral researcher at UCSB's SAND lab. His research group currently includes several PhD students working on security and machine learning projects. His work has been supported by grants from CCI, NSF and 4-VA. Recent research has focused on security challenges in generative AI systems, including deepfake detection, chatbot vulnerabilities, and adversarial attacks on ML systems. His team develops practical defenses against emerging threats in AI-powered systems. Teaching activities include courses on Foundation Models and Security, Secure Computing Capstone, and Security Analytics. Dr. Viswanath serves on program committees for top security conferences including CCS, USENIX Security, and IEEE S&P.

Anil Yildizمشاهده پروفایل

پژوهشگر

• Geohazards
• Computational Engineering
• Landslide Modeling
• +۷ مورد دیگر

Dr. Anil Yildiz is a senior researcher and Deputy Director at the Chair of Methods for Model-based Development in Computational Engineering (MBD), RWTH Aachen University, Germany. He leads the research group Engineering Climate Change Response and is actively involved in computational modeling of geohazards and climate-responsive engineering systems. PhD in Civil Engineering, ETH Zurich (2018) M.Sc. in Civil Engineering, Bogazici University (2013) B.Sc. in Civil Engineering, Bogazici University (2010) Dr. Yildiz's research centers on geohazards , particularly shallow landslides , soil-plant-atmosphere interactions , and computational modeling . He is deeply committed to reproducible workflows , data-integrated modeling , executable publications , and FAIR data principles . His work integrates machine learning , uncertainty quantification , and surrogate modeling to improve the reliability and efficiency of geohazard simulations. His recent publications (2023–2025) emphasize FAIR data practices , reproducible workflows , and uncertainty-aware modeling in landslide and sea ice research. Key themes include modular frameworks , data reuse , and executable scientific publications , reflecting a strong trend toward open, transparent, and computationally rigorous geoscience. Scientific awards and recognitions include: IDEA League Fellowship (2024) Culmann Prize, ETH Zurich (2019) Outstanding Doctoral Thesis in Civil Engineering (2018) Roland Schlich Early Career Scientist's Travel Support, EGU Dr. Yildiz has been involved in significant research projects, including work on green infrastructure and ground heat exchange at the National Green Infrastructure Facility (UK), and has contributed to interdisciplinary collaborations involving geotechnical engineering , climate modeling , and infrastructure resilience . He has not formally listed advisees, but his collaborative publications suggest active mentorship and team leadership. His research group focuses on developing reliable, data-driven models for climate-related geohazards. He has been affiliated with leading institutions including ETH Zurich, Newcastle University, University of Göttingen, and RWTH Aachen University, demonstrating a strong international research trajectory.

• Socio-Informatics
• Human-Computer Interaction (HCI)
• Social Robotics
• +۷ مورد دیگر

Volker Wulf is a full Professor of Business Informatics and New Media at Universität Siegen, Germany, and Director of the School of Media and Information (iSchool). He holds a leadership role as Prorektor für Regionales und Digitales at the university. His academic journey includes studies at RWTH Aachen and Paris VI, followed by roles as visiting professor at Hamburg and Freiburg Universities, and a Fulbright fellowship at University of Michigan and Stanford University. Wulf is a CHI Academy member since 2018 and former spokesperson of DFG-SFB 1187 'Medien der Kooperation'. His research focuses on socio-informatics, exploring IT system design in real-world contexts such as cooperative systems, knowledge management, and end-user development. Recent work emphasizes social robotics in healthcare, crisis-responsive infrastructuring, and ethical AI integration. Over 350+ publications include books like End User Development (Springer) and Socio-Informatics (Oxford Press). Key projects include FOREA , DCitizens , and SEEDS , addressing digital innovation in rural regions and SMEs. Research labs like PRAXLABS and Fab Lab Siegen facilitate applied innovation. Awards include the CHI Academy designation and Fulbright recognition. Wulf advises on over 20+ grants focusing on digital transformation, regional innovation, and socially embedded technologies. Collaborations span global initiatives in Palestine, Brazil, and Iran, addressing challenges from e-waste management to activist content moderation. His work bridges academic research with societal impact through participatory design approaches.

Rajeev Alurمشاهده پروفایل

استاد

• Formal Methods
• Cyber-Physical Systems
• Programming Languages
• +۸ مورد دیگر

Rajeev Alur is the Zisman Family Professor at the Department of Computer and Information Science, University of Pennsylvania. He directs the ASSET Center for Trustworthy AI and is affiliated with Penn's PRECISE Center and PL Club . Research Focus: Formal methods, cyber-physical systems, AI/ML safety, program synthesis, and software verification. Teaching: Undergraduate CIS 2620 , graduate CIS 540 , and PhD-level CIS 6730 . His recent publications (2021-2025) emphasize Neurosymbolic AI , Neural Network Verification , Relational Programming , and Reinforcement Learning with Formal Specifications . Notable projects include AutomataTutor and StreamQRE . Scientific Awards: 2024 Knuth Prize 2016 Alonzo Church Award Students: Mentored 19 PhD students (2000-2025) including Anton Xue (2025), Konstantinos Kallas (2024), and Kishor Jothimurugan (2023). Supervised 8 Master's students since 1999.

Andreas Wortmannمشاهده پروفایل

استاد

• Digital Twin Technology
• Model-Driven Engineering
• Cyber-Physical Production Systems
• +۵ مورد دیگر

Andreas Wortmann is a Professor at the Institute for Control Engineering of Machine Tools and Manufacturing Systems (part of the University of Stuttgart) and an Associate Member of the Cluster of Excellence IntCDC . His research focuses on Digital Twin Technology , Model-Driven Engineering , and Cyber-Physical Production Systems , with applications in Industrial Automation and Domain-Specific Languages . Recent publications highlight his work on systematic mapping studies of digital twin platforms, low-code development for manufacturing systems, and language engineering for heterogeneous environments. He has contributed to standards like the Asset Administration Shell and explored AI integration in timber construction process planning . Key collaborations include projects with researchers in robotics , software architecture , and industrial IoT . His work bridges academic research with practical implementations in the German automotive industry and smart manufacturing domains.

Andreas Hartmannمشاهده پروفایل

استاد

• Enterprise Architecture
• IT Architecture and IT Governance
• Digital Transformation in Higher Education
• +۴ مورد دیگر

Prof. Dr. Andreas Hartmann is a Professor of Applied Computer Science at HTWK Leipzig , specializing in distributed applications and their security. Since 2021, he has been a key faculty member in the Faculty of Digital Transformation , where he also serves as the Chairman of the Audit Committee. His role involves teaching, research, and administrative leadership in digital transformation initiatives. Education & Career Path: 2021-Present: Professor of Applied Computer Science (Distributed Applications & Security), HTWK Leipzig 2015-2021: Professor of Software Engineering, HfT Leipzig 2014-2015: Head of IT Strategy & Controlling, Federal Ministry of Transport & Digital Infrastructure 2010-2014: Head of Information & Communication Services, FSU Jena 2005-2010: Team Leader CIO Group, FSU Jena Research Focus: His research spans Enterprise Architecture , IT governance , and digital transformation in higher education . He is particularly involved in developing frameworks for cloud infrastructures and advancing IT security standards like BSI Grundschutz and Zero Trust models. His work integrates theoretical research with practical applications in university settings. Publications & Impact: Recent publications (2025-2018) emphasize digital university transformation, enterprise architecture management in academia, and secure cloud solutions. His collaborative works on integrating IT service management with enterprise architecture (TOGAF) highlight his role in shaping institutional IT strategies. Studies on measuring digitalization in higher education further underscore his commitment to evidence-based digital transformation. Professional Memberships: The Open Group: IT4IT™ Core Standard, TOGAF® UCISA & EUNIS: Enterprise Architecture Special Interest Group CIO Association Germany: Spokesperson for Enterprise Architecture Management ZKI: Working groups on IT Service Management & Campus Management Teaching & Labs: He teaches courses including Distributed Applications , IT Architectures and Modeling , and Cloud Computing and Virtualization . While no specific lab details are provided, his affiliation with the Faculty of Digital Transformation suggests involvement in collaborative projects related to digital infrastructure and educational technology.

• Geospatial Data Management
• Database Systems
• Cluster Computing
• +۵ مورد دیگر

Jia Yu is a researcher affiliated with Arizona State University , Tempe, AZ, USA. Their work focuses on geospatial data management, database systems, and cluster computing frameworks like Apache Spark. They have collaborated extensively with Mohamed Sarwat and other researchers on projects such as GeoSpark , GeoSparkViz , and GeoSparkSim , contributing to scalable spatial data processing and visualization systems. Key research areas include Learned indexing mechanisms (e.g., GLIN) Microscopic traffic simulation Parallel and distributed data processing Interactive geospatial dashboards Column correlation exploitation for database efficiency Integration of visualization with backend data systems Recent publications (2014-2024) demonstrate expertise in geospatial analytics, database indexing, software testing, and Apache Spark-based systems. Notable projects include Turbocharging Visualization Dashboards , HERMIT Indexing , and Spindra Knowledge Graph Management . Work emphasizes both theoretical innovation and practical implementation for handling massive-scale spatial data.

Martina Zitterbartمشاهده پروفایل

استاد

• Multimedia Communication Systems
• Mobile and Ubiquitous Communication
• Ambient Technologies
• +۷ مورد دیگر

Martina Zitterbart is a Professor of Computer Science at the Karlsruhe Institute of Technology (KIT) , with a career spanning over 30 years in telematics research. She leads the Institute of Telematics , focusing on multimedia communication systems , mobile networking , and wireless sensor networks . Current C4 Professor at KIT since 2001 PhD in Computer Science (University of Karlsruhe, 1990) Visiting scientist at IBM Research (USA/Switzerland, 1989-1992) Her research now integrates artificial intelligence into network security and 6G automation . Key projects include: KIWI : Federated machine learning for cross-domain attack detection Open6GHub : 6G infrastructure development (€66.8M BMBF grant) 6G-ANNA : Network automation for next-gen mobile systems Recent publications focus on: DDoS attack detection through machine learning QUIC protocol performance in long-term use energy packet transmission for smart grids autonomic network management She has received multiple awards including: Alcatel SEL Research Prize (2002) Best Paper Awards (EI.A 2024, NoF 2023) Teaching Excellence Recognition (2003, 2008) As a member of IEEE, ACM, and the German Society for Informatics, she actively contributes to academic discourse through conferences like SIGCOMM and workshops on blockchain technology.

Boris Müllerمشاهده پروفایل

استاد

• Data Visualisation
• Interaction Design
• Generative Design
• +۳ مورد دیگر

Boris Müller is Professor for Interaction Design at the University of Applied Sciences Potsdam, where he has been employed since May 2004. He currently serves as Vice Dean and head of the Interface Design graduate programme. Müller is also co-director of the Urban Complexity Lab, a research group focusing on data visualisation and information design, which he established together with Prof. Dr. Marian Dörk. Born in 1972 in Berlin, Müller studied design at the University of the Arts Bremen before pursuing a Master of Arts in Computer Related Design at the Royal College of Art in London. His professional career has spanned multiple prestigious institutions including MetaDesign San Francisco, the Institute for Media Communication of the Fraunhofer Gesellschaft, and the Interaction Design Institute Ivrea in Italy, where he worked as a researcher and visiting professor. Müller's research focuses on the intersection of design, data, and technology, with particular emphasis on Data Visualisation , Interaction Design , and Generative Design . His work explores how visual representations can make complex information accessible and engaging, while also investigating the philosophical and cultural implications of digital interfaces. He has published extensively on these topics, with a particular interest in how design can facilitate understanding of scientific data, especially related to climate change and urban environments. Over the past decade, Müller's publications have evolved to address increasingly complex challenges at the intersection of design, data science, and societal issues. His recent work shows a growing emphasis on speculative design approaches, critical examinations of AI in creative practice, and innovative methods for visualizing climate data. Müller has also been increasingly focused on the pedagogical aspects of design education, exploring how to prepare the next generation of designers for a rapidly changing technological landscape. Scientific Awards Special Distinction at the Lucky Strike Junior Designer Award (2000) 1st prize in the student category of the EuroPrix (2001) Excellence Award of the 4th ACA Media Arts Festival in Tokyo (2000) Honourable Mention of the rhizome.org Net Art Commission (2002) Certificate of Typographic Excellence from the Type Directors Club New York (2003) 100 best posters (100 Beste Plakate) (2003) iF design award (2005) Information is Beautiful Silver Award (2013) German Infographics Award, category Science (2014) Müller has supervised numerous students through the Interface Design graduate programme at the University of Applied Sciences Potsdam, though specific names of advisees are not publicly listed. His work at the Urban Complexity Lab has attracted various research grants focused on data visualization and urban futures. Müller frequently collaborates with international institutions, as evidenced by his lectures at venues including Kyushu University in Japan and Aalto University in Finland. As co-director of the Urban Complexity Lab, Müller leads a research group dedicated to exploring how data visualization can help understand complex urban systems. The lab's work combines design practice with scientific research, creating innovative approaches to representing urban data. Müller's team has developed several notable projects, including the SENSES project which translates complex scientific climate scenario information into relevant knowledge for different user groups.

• Computational Fluid Dynamics
• Digital Twin Technology
• Renewable Energy Systems
• +۵ مورد دیگر

Prof. Dr.-Ing. Frank Ulrich Rückert is a Professor of Fluid Energy Machines at the University of Applied Sciences Saarland (HTW Saar), where he teaches Thermodynamics, Fluid Dynamics, and Computational Fluid Dynamics. He serves as Spokesperson for the Institute for Physical Process Technology, Study Director for the Master's program in Safety Management, and Deputy Study Director for the Bachelor's program in Industrial Engineering. His work spans multiple research projects including WiPaKü, ELTROSOL, and H2-Schmiede. Dr. Rückert earned his degree in Environmental Engineering and Process Engineering with a focus on Process and Plant Engineering at BTU Cottbus, followed by a doctorate at the University of Stuttgart on technical combustion. His professional experience includes significant work at Robert Bosch GmbH at various international locations, where he developed nozzle and valve systems for liquid fuels and gases, and contributed to the pre-development of micro-steam turbines for waste heat recovery for over four years. His research focuses on modeling and simulation of physical and chemical processes, with particular expertise in Computational Fluid Dynamics (CFD), Computer Aided Engineering (CAE), digital twins, and programming mathematical models. He investigates renewable energy systems, heat transport, thermodynamics, energy storage, waste heat recovery, and high performance computing applications. His work bridges theoretical knowledge with practical engineering applications across power plant technology and grate firing systems. Dr. Rückert's recent publications demonstrate a strong trend toward digital twin technology across multiple engineering domains including hydraulic, pneumatic, electric, and mechanical systems. His work increasingly integrates artificial intelligence with simulation techniques, as evidenced by publications on AI-based positioning systems and metaverse applications for education. The research spans both fundamental engineering principles and cutting-edge applications in renewable energy systems. Honorary Golden Spike Award 2002 from the High Performance Computing Center Stuttgart (HLRS) Saarland Higher Education Teaching Award 2021 Dr. Rückert has secured funding for numerous research projects including WiPaKü (development of gearless wind energy generators), ELTROSOL (electrofilters for aerosol capture), H2-Schmiede (CO2 reduction in forging processes), and RePowerFish (renewable power supply for fish farming). He serves on the Scientific Committee for the SYMKOM conference and is actively involved with the Commercial Vehicle Cluster CVC Südwest. His external engagements include membership on the Landstuhl City Council and the Saarland Energy Innovation Initiative (LIESA). As Spokesperson for the Institute for Physical Process Technology and member of the wi-institute, Dr. Rückert leads several research teams focused on simulation and measurement technology. His work with the Wind Energy Lab demonstrates practical application of theoretical knowledge, while his involvement in the eClose project shows commitment to innovative educational approaches. The Competence Center for Fluid Machinery, Simulation and Measurement Technology serves as the hub for his interdisciplinary research activities.

Stephan Thesmannمشاهده پروفایل

استاد

• Business Informatics
• E-Business
• E-Learning
• +۹ مورد دیگر

Stephan Thesmann is a Professor of Business Informatics at Pforzheim University, specializing in multimedia application systems. He holds a doctorate in business administration and has been active in academia since the 1990s. His career includes roles as a visiting professor at ESC Clermont Graduate School of Business and leadership in e-learning initiatives. Focus areas: E-Business, AI applications, human-computer interaction, and SEO/SEM Key projects: University-wide e-learning implementation (2003-2007), international Digital Enterprise Management program (2016-2019) Leadership roles: Dean of Studies for Business Informatics (2013-2020) His research explores digital business process optimization, accessible web design, and search engine strategies. He has authored textbooks including 'Interface Design' and 'Wirtschaftsinformatik für Dummies'. Scientific awards include the 2018 Teaching Award from the Faculty of Business and Law. He actively contributes to program accreditation and serves on Pforzheim University’s IT Advisory Board.

• Data Privacy
• Cybersecurity
• Internet of Things (IoT)
• +۴ مورد دیگر

Vincent Naessens is a researcher at Ghent University, Belgium, with a focus on data privacy, cybersecurity, and IoT systems. His work spans privacy-preserving data publishing, security analysis of industrial control systems, and secure IoT applications. Research Interests: Data Privacy, Cybersecurity, IoT, eHealth Systems, Machine Learning. His recent articles (2023-2025) explore advanced anonymization pipelines, Linux-based IoT benchmarks, and reverse engineering of IoT ecosystems. These works emphasize balancing privacy utility, detecting firmware vulnerabilities, and improving location masking in colluding environments. Dr. Naessens has collaborated extensively with researchers like Jorn Lapon, Jan Vossaert, and Michiel Willocx, contributing to conferences such as ARES, SEC, and WOOT. His projects include cloud pricing analysis, IoT security seminars, and eHealth system privacy mechanisms.

Dominik Hanebergمشاهده پروفایل

پژوهشگر

• Software Quality
• Software Architecture
• IT Security
• +۳ مورد دیگر

Dominik Haneberg serves as a Senior Researcher at the Institute for Software & Systems Engineering within the Faculty of Applied Computer Science at the University of Augsburg. His work spans formal methods, software architecture, and IT security with a focus on verified systems. His educational background includes a Diploma in Informatics from the University of Ulm (2000) and a Doctorate in Informatics (2006). His research centers on software quality assurance , formal verification techniques , and security-critical systems , particularly for electronic payment applications and flash memory systems. His methodology emphasizes mathematically provable correctness in software design. Haneberg's publication trends reveal consistent focus on formal verification of storage systems (flash file systems, UBIFS), security protocols for electronic purses (Mondex case studies), and educational approaches to agile methodologies . His work bridges theoretical formal methods with industrial applications in embedded systems. Awards include: Award of the Swabian Economy 2007 (IHK Schwaben) Best Paper Award at Second International Conference on Software Engineering Advances 2007 Administrative contributions include serving on the faculty board, coordinating the elite Master's program in Software Engineering, student counseling for Computer Science in Engineering, and membership in multiple admission and examination boards. He has taught courses ranging from Formal Methods to Software Engineering and supervised numerous student theses. Haneberg works within the Institute for Software & Systems Engineering directed by Prof. Wolfgang Reif, contributing to both fundamental and applied research in software engineering while developing verification tools like KIV for industrial applications.