جست‌وجوی استاد و پژوهشگر

Gunnar Teegeمشاهده پروفایل

استاد

• Formal Verification
• Virtualization
• Distributed Systems
• +۷ مورد دیگر

Prof. Dr. Gunnar Teege is a faculty member at the Institute for Computer Engineering within the Faculty of Computer Science at Bundeswehr University Munich. His career spans over two decades, focusing on distributed systems, virtualization, and formal verification of operating system components. He has led numerous research projects, including collaborations with institutions like the Runder Tisch GIS eV and the Bavarian State Office for Surveying and Geoinformation. Education: Diploma in Computer Science from Technical University of Munich (1985), Doctorate in Computer Science from TUM (1991) Affiliations: Member of GI (Gesellschaft für Informatik) and ACM (Association for Computing Machinery) Research interests include formal verification of software components for secure systems, virtualization frameworks, distributed systems, military communications, geospatial data interoperability via OpenGIS standards, computer-supported cooperative work (CSCW), and E-Learning platforms. His work often bridges theoretical and applied domains, particularly in defense IT systems and education technology. He has contributed to projects like Targeteam (XML-based adaptable teaching materials), HoBIT (high-security embedded systems), and MiKscHA (microkernel applications for high-security environments). His publications emphasize modularity, tailorability, and security in software design. Teaching activities at Bundeswehr University Munich include courses on operating systems, distributed systems, virtualization, and cybersecurity. Previously, he taught problem-based learning in computer science at TU Munich and developed virtual lectures for the Virtual University of Bavaria (vhb) from 2001–2005.

Jonathan Aldrichمشاهده پروفایل

استاد

• Programming Languages
• Software Engineering
• Verification
• +۳ مورد دیگر

Jonathan Aldrich is a Professor at Carnegie Mellon University's School of Computer Science, with joint appointments in the Software and Societal Systems Department and Computer Science Department. He directs the Master of Software Engineering program (as of July 2025) and previously led the Software Engineering Ph.D. program. Aldrich teaches courses in programming languages, software engineering, and program analysis. Education: Ph.D. in Computer Science and Engineering, University of Washington (2003) M.S. in Computer Science and Engineering, University of Washington (1999) B.S. in Engineering and Applied Science (Computer Science), Caltech (1997) Research Focus: Aldrich's work bridges programming languages and software engineering to improve software quality and productivity. His research explores how structural and behavioral design aspects can be expressed in source code, enabling better tooling and error reduction. Key innovations include gradual verification systems, typestate-oriented programming, and ownership models for security. His projects span blockchain safety (Obsidian), concurrency (AEminium), and visualization (Penrose). Publication Trends: Aldrich's 15 most recent articles reflect a strong emphasis on language-based security, formal verification (especially gradual verification techniques), and human-centered language design. His work increasingly integrates empirical studies to evaluate usability in advanced type systems. Awards: NSF CAREER Award (2006) Dahl-Nygaard Junior Prize (2007) ICSE Most Influential Paper Award (2012) DARPA Computer Science Study Group (2007) William Chan Memorial Dissertation Award (2003) Leadership & Service: Aldrich directs graduate programs, co-authored the textbook 'Programming Language Pragmatics,' and serves on the ACM Publications Board. As CTO of Noteful, he develops educational music technology. He has chaired program committees for OOPSLA, ECOOP, and SPLASH conferences.

• Augmented Reality
• Virtual Reality
• Image Recognition
• +۲۱ مورد دیگر

Prof. Dr. Martin Przewloka is a faculty member at the Department of MND at Technische Hochschule Mittelhessen. His expertise spans technologies such as Augmented Reality, Virtual Reality, Image Recognition, Parallel Computing, and Industry 4.0, with a focus on applications in healthcare, logistics, and developing countries. Department of MND, Technische Hochschule Mittelhessen Email: martin.przewloka@mnd.thm.de His research interests include Mobile Applications , Real-time Systems , 3D Printing , and Internet of Things (IoT) . He explores how these technologies intersect with Industrial Process Management , Smart Grids , and Public Sector Innovations . Recent work highlights Generative AI in self-service retail and mobile health solutions for chronic disease management. Prof. Przewloka's publications reflect trends in Mobile Empowerment , Crowdsourcing , and In-Memory Computing . His 2024 articles address AI industrialization and gamification in healthcare, while earlier works (2013–2015) focus on disruptive mobile business models and SAP HANA's role in enterprise analytics.

Niklas Kleinمشاهده پروفایل

استاد

• Context-Aware Systems
• Ubiquitous Computing
• Smart Grid Applications
• +۴ مورد دیگر

Niklas Klein is a Professor at the Department of Information and Communication at Flensburg University of Applied Sciences. He also serves as Vice President for Studies and Teaching on the Executive Board. His academic background includes a PhD from the University of Kassel (2011) and earlier degrees from the University of Paderborn. His research focuses on context-aware systems, ubiquitous computing, and smart grid technologies. He has contributed to projects like the Future Internet Smart Grid Application (2013), activity recognition using inertial sensors (2011), and XML/XQuery transformation frameworks (2005–2011). His work emphasizes time synchronization in sensor networks and user-centric service creation. Notable publications include studies on context prediction stability, energy management in smart grids, and DAG-based context reasoning architectures. He has advised over 20 Master's and Bachelor's students in areas like distributed systems and communication technologies. Klein has secured funding for projects such as the KLIMASCHUTZ-PLANER (2013–2014) and IT2Green Pinta (2012–2014). He organizes workshops like AwareCast and serves on technical program committees for CAPS 2012 and Context 2011. Additional service includes managing the alumni network for Kassel University's Communication Technologies chair and supporting international student recruitment.

Manel Abdellatifمشاهده پروفایل

استاد

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Manel Abdellatif is a Professor in the Department of Software Engineering and IT at École de Technologie Supérieure (ETS) in Montreal, Canada. Her research spans trustworthy AI, service computing, and software maintenance/evolution, with significant contributions to software engineering conferences including ASE (Tool Demo PC Member 2025), ICSE (Awards Chair 2025), and DeepTest (Committee Member 2026). She actively publishes in top venues like IEEE TSE and ACM TOSEM with recent work on deep learning safety and microservice modernization. Dr. Abdellatif holds an M.Sc. from ÉTS and a Ph.D. from Polytechnique Montréal. Her doctoral research focused on service identification approaches for legacy system migration to SOA, establishing her expertise in software modernization. She maintains strong industry connections through applied projects addressing real-world challenges in system migration and digital transformation. Her research program centers on AI system reliability and software modernization , with three interconnected thrusts: (1) Safety monitoring and testing of deep reinforcement learning systems (SMARLA framework), (2) Microservice migration including antipattern detection and service identification, and (3) Legacy system modernization using machine learning and semantic analysis. She combines empirical studies with practical tool development, often collaborating with industry partners on real systems. Analysis of her 15 most recent publications reveals a clear trajectory toward ensuring trustworthy behavior in AI systems while addressing architectural challenges in modern software. Her work bridges theoretical advances in deep learning testing with practical solutions for microservice adoption, showing increasing focus on formal methods for safety guarantees in autonomous agents. Dr. Abdellatif supervises a dynamic research group with 9 current graduate students working on cutting-edge topics including federated learning anti-patterns (Amirhossein Roudgar), AI-to-microservice migration (Hakim Ghlissi), and deep learning test optimization (Hatem Feki). Her supervision spans both theoretical research (master's theses) and industry-applied projects addressing concrete modernization challenges. Her work is conducted within ETS's Software Systems, Multimedia and Cybersecurity research axis, where she collaborates with colleagues on software quality, IoT systems, and empirical engineering methods. The department's strong industry connections enable her team to validate approaches on real-world systems while maintaining academic rigor.

Thomas Leichمشاهده پروفایل

استاد

• Software Product Line Engineering
• Requirements Engineering
• IT Security
• +۱۱ مورد دیگر

Prof. Dr.-Ing. Thomas Leich holds the Volkswagen Financial Services Endowed Professorship for Business Informatics, specifically Requirements Engineering, at Harz University of Applied Sciences. He is affiliated with the Faculty of Automation and Information, focusing on software variability and configurable systems. University: Harz University of Applied Sciences School: Faculty of Automation and Information Academic Rank: Professor Research Interests span software product line engineering, IT security, Industry 4.0, and feature-oriented programming. His work bridges academic innovation with industrial applications, particularly in secure and scalable systems for automotive and enterprise contexts. Recent Publications emphasize security in configurable systems, empirical software engineering studies, and automotive platform management. Articles often involve collaborations with teams at Otto von Guericke University and international institutions. Scientific Awards include the Hugo Junkers Research Award (2013), the Wissenschaftspreis der Wernigeröder Stadtwerkestiftung (2017), and the 2012 Faculty Research Award from the University of Magdeburg. Supervision of over 20 theses since 2008, spanning topics in ERP security, program comprehension, and embedded systems. He leads the EXPLANT project, funded by DFG, and contributes to FeatureIDE , an extensible framework for feature-oriented development.

Dirk Timmermannمشاهده پروفایل

عضو هیئت علمی

• Microelectronics
• Embedded Systems
• Wireless Sensor Networks
• +۳ مورد دیگر

Dirk Timmermann is Senior Professor of Computers in Technical Systems at the Institute for Applied Microelectronics and Data Technology , University of Rostock , Germany. He is affiliated with the Interdisciplinary Faculty (INF) within the Department of Life, Light & Matter. Academic Role: Senior Professor focusing on technical systems Research Areas: Digital CMOS circuits, energy-efficient systems, wireless communication protocols Teaching: Advanced VLSI design and digital systems Current Projects: Deep brain stimulation devices, TSN networking, medical device interoperability His recent publications (2023-2025) emphasize preclinical neurostimulation research (STN-DBS applications in Parkinsonian models), time-sensitive networking (TSN scheduling, IEEE 802.11 protocols), and medical device integration (IEEE 11073 SDC implementations). He contributes to: Ad hoc sensor network architectures Energy-efficient FPGA designs Service-oriented medical device connectivity Building automation security frameworks Prof. Timmermann serves on the Senate Committee on Budget, Personnel and Construction at University of Rostock.

Torsten Klieمشاهده پروفایل

پژوهشگر

• Cyber-physical systems
• Autonomic Communication
• Policy-based management
• +۴ مورد دیگر

Torsten Klie serves as Managing Director and Senior Research Associate ( Akademischer Oberrat ) at the FAU Research Center Embedded Systems Initiative (FAU ESI) at Friedrich-Alexander University Erlangen-Nuremberg. He is affiliated with the Department of Computer Science, specifically the Chair of Computer Science 12 (Hardware-Software Co-Design). Dr. Klie received his PhD in Computer Science (Dr.-Ing.) from Technical University of Braunschweig in December 2008 under Prof. Dr.-Ing. Lars Wolf (1st Reader) and Prof. Dr. Stefan Fischer (2nd Reader). His academic journey began with a Diploma in Business Informatics from the same institution in January 2003, preceded by research positions at the Institute of Operating Systems and Computer Networks (2005-2009) and the L3S Research Center in Hanover (2003-2005). His research focuses on cyber-physical systems, autonomic communication, and policy-based management, with increasing emphasis on industrial applications under Industry 4.0 frameworks. His work spans from foundational network management systems to current explorations of sustainable smart industry through the Industrial Internet of Things. Dr. Klie has developed a distinctive research trajectory examining how embedded systems can enable smarter industrial processes through advanced communication architectures and autonomous management approaches. Analysis of his publications from 2009-2025 reveals a clear evolution from theoretical network management frameworks toward practical industrial applications. His recent work increasingly addresses sustainability in industrial contexts, embedded AI implementations, and open-source hardware approaches to cyber-physical systems. The recurring theme across his career is the integration of hardware and software systems to create more autonomous, efficient, and responsive embedded solutions for industrial applications. Dr. Klie teaches courses on cyber-physical systems at FAU and previously taught computer networks, distributed systems, and operating systems at Technical University of Braunschweig. His teaching portfolio includes multiple specialized seminars on advanced networking topics, real-time sensor networks, and security in distributed systems. He leads the ESI Application Center focused on Sustainable Smart Industry – The Industrial Internet of Things as a Model for Sustainable Industrial Value Creation as part of the Emerging Fields Initiative. His current research direction emphasizes how embedded systems can drive sustainable industrial transformation through smarter connectivity and autonomous decision-making capabilities.

Ulrik Pagh Schultzمشاهده پروفایل

استاد

• Generative Programming
• Embedded Systems
• Domain-Specific Languages
• +۳ مورد دیگر

Ulrik Pagh Schultz is a Professor at the University of Southern Denmark, specializing in generative programming, domain-specific languages, and embedded systems. His research focuses on automatic code generation, real-time systems, and reconfigurable robotics, with applications in autonomous drone operations and energy modeling for embedded systems. He has served as a committee member and session chair for numerous conferences including PEPM, GPCE, SPLASH, and POPL since 2011. Notable contributions include work on Idris programming language, reversible computing, and service-oriented architectures for drones. His career spans active involvement in programming language design and practical implementation challenges in robotics software engineering, particularly through collaborations at ACM SIGPLAN conferences. While specific students and awards aren't listed, his extensive service roles demonstrate significant academic engagement.

Tobias Brogtمشاهده پروفایل

پژوهشگر

• Service Systems
• Service Systems Engineering
• Process Models
• +۵ مورد دیگر

Tobias Brogt is an External Ph.D. Student and Research Assistant at the Chair of Business Information Systems and Software Engineering within the Faculty of Business and Economics at the University of Duisburg-Essen. He combines academic work with practical experience as a Software Engineer at IT-Objects GmbH since 2015. Ph.D. research in Service Systems Engineering and Smart Connected Products Active lecturer in DBIT (Digital Business Innovation and Transformation) and VAWi (Virtual Continuing Education Program) since 2019 and 2016 Published extensively in ECIS , HICSS , and Springer Gabler publications Research Focus includes digital transformation , smart product architectures , and quality management in sociotechnical systems . His work applies service-dominant logic to analyze value creation through resource integration, particularly in IoT-enabled environments. Key Publications Trends reveal expertise in: Smart service system taxonomies Quality factors for self-tracking solutions Hybrid process models combining agile and plan-driven approaches Industry 4.0 transformation strategies Academic Contributions include: Supervision of 54+ Bachelor’s and Master’s theses since 2016 Design of courses like Advanced Programming Concepts and Software Development Paradigms Collaboration on the WIWI-chairT3 web content management solution

Heiko Mausمشاهده پروفایل

پژوهشگر

• Knowledge Management
• Semantic Technologies
• Knowledge Graphs
• +۷ مورد دیگر

Dr. Heiko Maus is a researcher and department leader at the German Research Center for Artificial Intelligence (DFKI) GmbH in Kaiserslautern, Germany. As (co-)author of over 20 publications since 2005, he specializes in knowledge management, semantic technologies, and context-aware systems. Second Deputy Head of Smart Data & Knowledge Services Department (2022–) Team Leader of Topic Field Knowledge Work (2017–) Key projects: CoMem, EPOS, ForgetIT, myRPA His research focuses on knowledge graph applications for corporate memory systems, combining context modeling with semantic desktop environments . He develops personal knowledge assistants that integrate information silos through evolving knowledge graphs , with recent work exploring LLM-based adaptive relevance prediction for entity recommendation systems. Scientific contributions include the LDK 2019 Best Research Paper Award and multiple ACM/IEEE/ESWC publications . His 2024–2025 articles examine context-aware recommendation systems for knowledge workers, cyber mapping financial systems , and real-life knowledge work datasets .

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.

Carsten Trinitisمشاهده پروفایل

استاد

• High Performance Computer Architectures
• Microprocessor Architectures
• Co-design
• +۵ مورد دیگر

Prof. Dr. Carsten Trinitis is a full professor at the Chair of Computer Architecture & Parallel Systems within the TUM School of Computation, Information and Technology. Specializing in high-performance computer architecture with a unique focus on spaceflight applications and informatics ethics, he leads the 'Gesellschaft für Informatik und Ethik' (Society for Informatics and Ethics). Ph.D. in Electrical Engineering from TUM (1998) Industry experience before returning to academia Former Assistant Professor in History of Science (2002-2010) at Universität der Bundeswehr München Full Professor of Distributed Computing at University of Bedfordshire (2010-2014) His research spans three major domains: High-Performance Computing: Focused on microprocessor architectures, hardware-oriented optimizations, and co-design approaches. Recent work includes GPU power capping strategies and Data Distribution Service (DDS) middleware enhancements. Space Systems: Pioneering computer architectures for nanosatellites with projects like MOVE-II mission and MicroPython-based satellite control systems. Digital Ethics: Through his 'Gewissensbits' initiative, he explores ethical decision-making frameworks for technology and contributes to the German Informatics Society's ethical guidelines. Key publication trends show interdisciplinary work connecting: HPC systems and edge AI applications FPGA-based verification and RISC-V processors Time series analysis at petascale performance Hardware-software co-design for extreme environments Continued emphasis on ethical computing frameworks Scientific Recognition: TeachInf Award for Outstanding Teaching (2023) Hans Meuer Award for Best Paper (2020) ZARM Master Thesis Awards (2016, 2017) Prof. Trinitis leads multiple research projects including: SEANERGYS (EuroHPC) - Energy-efficient computing systems PlasmaPEPS - Plasma physics simulation environments OpenCUBE - Open computing frameworks for space MUNIQC-ATOMS - Quantum computing integration

Veronika Leschمشاهده پروفایل

استاد

• Self-aware Computing Systems
• Cyber-physical Systems
• Industry 4.0
• +۳ مورد دیگر

Veronika Lesch is a Professor and Head of the Applied Computer Science program at DHBW Mosbach. Previously, she served as a post-doctoral research group leader and doctoral researcher at the University of Würzburg's Chair of Computer Science II (Software Engineering Group). Her research focuses on self-aware computing systems, cyber-physical systems, and intelligent transportation logistics. She has supervised numerous theses on topics like platooning coordination and warehouse optimization. Notable awards include being a nominee for the 'Ingenieurinnen Preis Bayern' and recipient of the 'Würzburg Software Engineering Award'. Education: She holds a Bachelor's (2015) and Master's (2017) in Computer Science from the University of Würzburg, followed by a PhD and postdoc at the same institution. Professional roles include teaching coordination of MINT courses and supervision of software projects. Research interests span IoT, Industry 4.0 logistics, and autonomous systems optimization. Over 20 peer-reviewed publications since 2017 address challenges in adaptive systems, vehicle routing, and meta-optimization strategies. Active in reviewing for top journals/conferences like IEEE Transactions on ITS and ICPE. Supervised 15+ student theses (2018-2021) Developed FADE framework for adaptive distance estimation Contributed to Combench communication protocol benchmarking Labs/Teams: Previously part of the Software Engineering Group at Würzburg, now leading applied CS initiatives at DHBW Mosbach.

Dirk Kalmringمشاهده پروفایل

استاد

• Business Informatics
• Business Process Management
• Decision Analytics
• +۵ مورد دیگر

Prof. Dr. Dirk Kalmring is a Professor of Business Informatics at the Faculty of Business Studies, Hochschule Düsseldorf (University of Applied Sciences Düsseldorf). His academic work focuses on business process management, decision analytics, and IT applications in business contexts. He teaches courses including Business Process Management, Business Informatics, and IT Applications, and leads project modules on topics like supply chain analysis and IT-supported business methods. Prof. Kalmring's research spans several key areas in business informatics: business process management (BPM), decision analytics, process mining, robotic process automation (RPA), information security, and knowledge management. His work integrates theoretical frameworks with practical applications, particularly in modeling business processes using standards like BPMN and DMN. He has developed strong industry partnerships with companies such as UiPath, Signavio, and Fluxicon to enhance practical learning experiences for students. His recent publications reflect trends toward digital transformation in business processes, with increasing focus on decision automation, process optimization through RPA, and security in digital business environments. The research shows a progression from foundational work in knowledge management to current applications in process mining and decision analytics. Scientific awards include nominations for 'Professor des Jahres' (Professor of the Year) in 2023, 2018, and 2015, recognizing his excellence in practical-oriented teaching that prepares students for professional careers. Prof. Kalmring actively engages students through project modules where they work with real industry partners like Tsurumi Europe GmbH and GBTEC Software AG. These projects focus on practical applications of business process modeling, supply chain optimization, and digital transformation. His teaching approach emphasizes bridging academic theory with industry practice. He leads a working group that collaborates with various industry partners including UiPath, Signavio, Fluxicon, and MID GmbH on research and teaching initiatives related to business process management, decision modeling, and enterprise architecture.