جست‌وجوی استاد و پژوهشگر

• Distributed Systems
• Cloud Computing
• Edge Computing
• +۷ مورد دیگر

David Bermbach is a Full Professor at Technische Universität Berlin , leading the Scalable Software Systems group since 2023. His research focuses on distributed systems, serverless computing, and benchmarking, with significant work on edge and fog computing architectures. He is affiliated with the Einstein Center Digital Future and co-chairs interdisciplinary projects like SimRa for bicycle traffic safety. Full Professor, Scalable Software Systems (2023–present) ECDF-Professor, Mobile Cloud Computing (2017–2023) Postdoctoral Researcher (2014–2017) Education : Diploma in Business Engineering (2010) – Karlsruhe Institute of Technology (KIT) PhD in Computer Science (2014, summa cum laude) – KIT Research Interests span distributed systems with emphasis on cloud, edge, and fog computing, serverless architectures, IoT platforms, and benchmarking frameworks. His work addresses consistency-performance trade-offs, resource placement, and interdisciplinary applications in urban mobility and satellite edge computing. Article Trends show a focus on serverless computing (12/15), edge-cloud integration (9/15), and benchmarking methodologies (7/15). Key themes include optimizing function placement, federated learning architectures, and low-earth orbit computing systems. Scientific Awards Best Paper Award – ShutPub (2024) Best Workshop Paper – A Research Perspective on Fog Computing (2017) Best Paper Runner Up – Benchmarking Eventual Consistency (2014) Summa Cum Laude PhD Thesis (2014) Advising & Grants include mentoring students like Tobias Pfandzelter and Trever Schirmer, leading funded projects through the Einstein Center Digital Future, and contributing to 6G network research. His team works on cloud federation, serverless optimization, and real-world IoT applications.

Cyrus Zahiriمشاهده پروفایل

استاد

• Public Space
• Urban Planning
• Landscape Architecture
• +۳ مورد دیگر

Prof. Dr.-Ing. Cyrus Zahiri is a faculty member at the School of Architecture Bremen , affiliated with the Hochschule Bremen – City University of Applied Sciences . His academic rank is Professor in the department of Dept. A . Research focuses on public space , urban planning , and ecological design . Current priorities include climate adaptation , non-European urban contexts , and artificial landscapes . His research spans spatial, social, and ecological dimensions of public spaces, emphasizing their role as islands , oases , and stages for urban life. Publications address topics like heterotopias , green infrastructure , and reflexive design processes . Recent articles highlight interdisciplinary approaches in architecture and landscape architecture, with a focus on case studies from São Paulo, Beijing, and Berlin. Themes include fluid spatial transformations , ecological transitions , and digital design tools . Active in lectures (2024–2010) and exhibitions (2024–2005). Engaged in jury activities , associations , and academic training .

Baishakhi Rayمشاهده پروفایل

دانشیار

• Software Engineering
• Security
• Artificial Intelligence
• +۳ مورد دیگر

Baishakhi Ray is an Associate Professor of Computer Science at Columbia University, working at the intersection of AI, Software Engineering, and Security. She received her Ph.D. from the University of Texas, Austin, and has established herself as a leading researcher in applying artificial intelligence to software engineering challenges. Her educational background includes a Ph.D. from the University of Texas, Austin, which provided the foundation for her research career at the forefront of AI and software engineering. Dr. Ray's research focuses on leveraging artificial intelligence to solve fundamental challenges in software engineering and security. Her work spans multiple areas including code generation with large language models, vulnerability detection, software testing, and program analysis. She has pioneered approaches that combine deep learning with traditional software engineering techniques to create more robust, secure, and efficient software development processes. Her research has practical implications for improving code quality, enhancing software security, and accelerating development cycles through AI assistance. Her recent work demonstrates a strong emphasis on semantic-aware code generation, execution reasoning, and addressing hallucinations in code language models. She has also made significant contributions to evaluating the functionality and security of AI-generated code, identifying critical challenges in the practical adoption of AI for software development. Dr. Ray has received numerous prestigious awards recognizing her contributions to the field: IEEE TCSE Rising Star NSF CAREER award IBM faculty award VMware Faculty award Distinguished Paper awards at FSE'17, ASE'22, and ISSTA'23 ICSME Most Influential Paper award Publications featured in CACM Research Highlights As an Amazon Visiting Academic and active participant in major software engineering conferences, Dr. Ray has established herself as a thought leader in AI for software engineering. Her research has been widely covered in trade media, indicating its relevance and impact on industry practices. She has mentored numerous students through their research and has been instrumental in shaping the next generation of researchers in this interdisciplinary field. Her work demonstrates a consistent focus on bridging theoretical advances with practical applications, ensuring that her research has tangible benefits for the software development community. The trajectory of her publications shows an evolving research agenda that has successfully adapted to the rapidly changing landscape of AI and its applications to software engineering.

Antonio Mastropaoloمشاهده پروفایل

استادیار

• Artificial Intelligence
• Natural Language Processing
• Software Engineering
• +۶ مورد دیگر

Dr. Antonio Mastropaolo is an Assistant Professor of Computer Science at William & Mary, USA. His research lies at the intersection of Artificial Intelligence, Natural Language Processing, and Software Engineering, with a strong emphasis on the automation of SE-related practices. He promotes explainability, efficiency, and optimization from both model-centric and output-centric perspectives. His research interests focus on the reliability and efficiency of AI systems for software engineering. He investigates robustness and adaptability of foundation models like GitHub Copilot, as well as documentation and summarization of code components. His work addresses critical challenges in AI-driven software development including transparency, scalability, and developer productivity. His publication portfolio shows a strong trend toward neurosymbolic approaches that combine neural learning with symbolic reasoning. Recent articles explore quantization of large code models, code summarization optimization, and resource-efficient AI for software engineering. His work spans both theoretical foundations and practical applications, with emphasis on empirical validation of AI techniques in real-world SE contexts. Distinguished Reviewer Award for service on FSE'25 program committees Distinguished Reviewer Award at ASE 2024 Distinguished Paper Award for 'Unveiling ChatGPT's Usage in Open Source Projects' at MSR'24 Distinguished Paper Award for 'How do Hugging Face Models Document Datasets, Bias, and Licenses?' at ICPC'24 Dr. Mastropaolo advises PhD students, with Saima recently starting her PhD journey with a publication in FORGE 2025. He received an NSF Grant (#2451058) in April 2025 for research on efficient and responsible AI for software engineering. His service includes committee membership for major conferences including ASE, ICSE, ICSME, and FSE across multiple tracks including Research Papers, NIER, and Tool Demonstrations.

Sven Apelمشاهده پروفایل

استاد

• Software Engineering
• Software Variability and Configuration
• AI-based Program Generation and Optimization
• +۷ مورد دیگر

Sven Apel is Professor of Computer Science at Saarland University, where he holds the Chair of Software Engineering and directs the Saarbrücken Graduate School of Computer Science within the Saarland Informatics Campus. His research aims to advance software engineering into an era of intensive automation by developing methods, tools, and theories for building efficient, reliable, and maintainable software systems, with a strong emphasis on the human factor and interdisciplinary inquiry. His primary research interests include software variability and configuration, AI-based program generation and optimization, socio-technical software analysis, and the application of empirical and neurophysiological methods to study program comprehension. He actively collaborates with industry partners such as Siemens AG, Bosch Engineering, and Airbus Helicopters to apply his research in real-world contexts. His recent publications demonstrate a strong trend towards integrating artificial intelligence and neurocognitive methods into software engineering, focusing on configurable systems, performance modeling, debugging processes, and the scientific validity of empirical studies. His work spans top venues like ICSE, FSE, ASE, and IEEE TSE. ERC Advanced Grant “Brains On Code” ASE Fellow ACM Distinguished Member Hugo Junkers Award for Research and Innovation Heisenberg Professorship (DFG) Emmy-Noether Fellowship (DFG) Best Doctoral Dissertation Awards (University of Magdeburg, Ernst-Denert Foundation, 2007) Most Influential Paper Awards (SPLC'19, ICPC'22, GPCE'23) ACM SIGSOFT Distinguished Paper Awards (ICSE'15, ICSE'21) Best Paper Awards (SPLC'11, Modularity'15, Academy of Management'18) Distinguished Reviewer Awards (ASE'18, ICSE'24, FSE'24) Sven Apel has secured significant research funding, including an ERC Advanced Grant (€2.5M) and multiple DFG grants as Principal Investigator and Project Leader. He has advised numerous PhD and Master’s students and is actively involved in the academic community through program committees for major conferences like ICSE, FSE, and ASE. His work is conducted within a collaborative environment that includes close partnerships with researchers at the Max Planck Institute for Informatics and other institutions within the Saarland Informatics Campus.

Daniel Fürstenauمشاهده پروفایل

استاد

• Digital Transformation
• IT Infrastructures
• Digital Platforms
• +۱۲ مورد دیگر

Daniel Fürstenau is a Professor of Business Administration with a focus on IT Management and Digital Transformation at Freie Universität Berlin’s School of Business & Economics, and is affiliated with the Einstein Center Digital Future (ECDF). He also holds positions as Researcher at Charité – Universitätsmedizin Berlin and previously served as Associate Professor at IT University Copenhagen and Assistant Professor at Copenhagen Business School. He earned his doctorate from Freie Universität Berlin in 2014 and completed postdoctoral research with affiliations at UC San Diego, Copenhagen Business School, and the University of British Columbia. His academic journey is complemented by professional experience as a consultant at BOC Information Technology Consulting, where he guided digital transformation in banking and public sectors. Fürstenau’s research centers on digital transformation, IT infrastructures, and digital platforms, with a strong emphasis on healthcare applications. He investigates how digital systems influence organizational structures, innovation, and patient care, using methods such as network analysis and simulation. His work spans AI in nursing, digital therapeutics, health data governance, and low-code development. He leads interdisciplinary projects involving Charité and ECDF, focusing on digital health ecosystems and fall prevention using AI. His recent publications reflect a trend toward interdisciplinary digital health research, with a focus on AI, data platforms, governance, and sustainability. He frequently publishes in top-tier journals such as Information Systems Research , Journal of Management Information Systems , and Business & Information Systems Engineering . 2020 Best Paper Award, Academy of Management (OCIS) Best Associate Editor, International Conference on Information Systems (Healthcare track) Spokesperson, Division Digital Health, Gesellschaft für Informatik Cluster Spokesperson (since 2024) Member, Association for Information Systems (AIS) Fürstenau leads a research team of assistants based at FU Berlin and Charité, and is involved in major projects like DIPA-SCALE, CCA, and SoKIP. He is committed to socially relevant research with impact on medical care and financial systems. His leadership at ECDF underscores his role in shaping digital future research in Berlin.

Peter Buxmannمشاهده پروفایل

استاد

• Artificial Intelligence
• Digital Transformation
• Business Informatics
• +۴ مورد دیگر

Prof. Dr. Peter Buxmann is a full professor of business informatics at the Technical University of Darmstadt, holding the Chair in this field. He is an internationally renowned speaker, senior business advisor, and podcaster for the Frankfurter Allgemeine Zeitung. His roles include advisory board memberships for institutions like the Weizenbaum Institute for the Networked Society and Eckelmann AG. His research focuses on AI applications, digital transformation, and future work paradigms, with over 300 publications in top journals and conferences. Education: PhD and habilitation from University of Frankfurt, including a research stay at UC Berkeley's Haas School of Business. Previous positions: Professor at Technical University of Freiberg (2000-2004). Research Interests: Artificial Intelligence (applications in business, healthcare, and ethics), Digital Transformation (organizational and societal impacts), Data-Driven Business Models (platform economics, innovation ecosystems), and Future of Work (human-robot collaboration, agile principles). Keynote Topics: Generative AI and its industry applications Strategic digital transformation frameworks Ethical AI governance Labs/Teams: Leads the HIGHEST innovation center at TU Darmstadt and collaborates with TechQuartier Frankfurt. Founded multiple startups focusing on AI solutions.

• Software Engineering
• Green Software Development
• Sustainable Computing
• +۶ مورد دیگر

Félix García is a prominent professor at the University of Castilla-La Mancha in Ciudad Real, Spain, with extensive contributions to software engineering, sustainable computing, and business process management. His research spans over two decades with 187 publications indexed in dblp, demonstrating consistent scholarly productivity and leadership in multiple research areas. Dr. García's research interests focus on critical contemporary challenges in software development, particularly green software engineering, energy efficiency in computing systems, and sustainable software development practices. His work bridges theoretical foundations with practical applications, addressing how software design, implementation, and maintenance impact environmental sustainability. He has pioneered research connecting software quality attributes with energy consumption, examining how design patterns, code smells, and refactoring techniques affect resource usage. His recent publications (2023-2025) reveal a strong focus on cutting-edge topics including Green AI, quantum computing sustainability, and energy-aware programming language design. These works demonstrate his ability to anticipate and address emerging challenges at the intersection of software engineering and environmental sustainability. Dr. García has received significant recognition through numerous collaborations, particularly with Mario Piattini (133 co-authored papers), Francisco Ruiz (63 papers), and María Ángeles Moraga (30 papers), establishing him as a central figure in his research community. His work has appeared in prestigious venues including IEEE Transactions on Software Engineering, Journal of Systems and Software, and ACM Computing Surveys. He has mentored numerous researchers who have become established scholars in their own right, including Javier Mancebo, Laura Sánchez-González, and César Jesús Pardo Calvache. His contributions to gamification in software engineering education through serious games like GLOBAL-MANAGER demonstrate his commitment to innovative teaching approaches.

Lydia Kaiserمشاهده پروفایل

استاد

• Systems Engineering
• Model Based Systems Engineering
• Digital Engineering
• +۵ مورد دیگر

Lydia Kaiser is an ECDF Professor for "Digital Engineering 4.0" at Technische Universität Berlin since March 2021. She is affiliated with Faculty V of Mechanical Engineering and Transport Systems, specifically within the Institute for Machine Tools and Factory Management where she leads the Chair for Digital Engineering 4.0 at the Production Technology Center (PTZ). Dr. Kaiser earned her academic foundation with a Bachelor's and Master's degree in Physics from the University of Paderborn, followed by a doctorate in December 2013 from the Faculty of Mechanical Engineering at the same institution. Her dissertation focused on "Framework for Modeling a Plausible System Structure of Mechatronic Systems." Prior to her current position, she held leadership roles at the Fraunhofer Institute for Mechatronic Design, where she headed the Systems Engineering department from 2018 until joining TU Berlin. Professor Kaiser's research centers on the digital transformation of the manufacturing industry, examining both the opportunities and challenges companies face through digitization processes. Her work emphasizes systems engineering approaches that align with the ECDF's vision of "digitization for all, digitization beyond disciplines, people at the center of digitization." She investigates how technical systems become networked, leading to new business models, and stresses the importance of understanding user needs across different departments to develop effective solutions. Her research addresses the growing need for collaboration between traditional mechanical engineers and software developers, as well as the evolving boundaries within industry value chains. Her scholarly output demonstrates a strong focus on Model-Based Systems Engineering (MBSE), Digital Twins, and the integration of Artificial Intelligence in engineering processes. Recent publications show increasing attention to sustainability aspects, particularly through concepts like the "Digital Green Twin" for sustainable product lifecycles. Her work bridges theoretical frameworks with practical industrial applications, addressing challenges in machinery and plant engineering sectors while exploring evolving roles in systems engineering and the sociotechnical dimensions of digital transformation. Professor Kaiser leads a research team comprising Thu-My Huynh and Atilla Köstekci as Research Assistants, along with student assistants Tillmann Hasselbach and Jonas Pfeiffer. After several years in applied research at the Fraunhofer Institute for Mechatronic Design, she has returned to academia with a focus on deepening research while balancing her professional and personal life as a mother of three. She aims to serve as a role model for women in science and advocates for work structures that better support career-family balance, noting that "until a few years ago it was unimaginable for me to combine a professorship and my children - now I am confident it will work out!"

Davide Di Ruscioمشاهده پروفایل

استاد

• Model Driven Engineering
• Model evolution
• Open Source Software
• +۷ مورد دیگر

Davide Di Ruscio is a Full Professor at the Department of Information Engineering Computer Science and Mathematics of the University of L'Aquila (Italy), where he leads research in Model-Driven Engineering and Software Engineering. His work spans domain-specific modeling languages, model transformations, and recommender systems applied to open source software and autonomous systems. His research interests focus on Model Driven Engineering , Model evolution , Open Source Software , and Recommender Systems , with recent work exploring LLM applications in code analysis and fairness engineering. Key application domains include service-based systems, autonomous systems, and hybrid polystore systems. Di Ruscio actively contributes to the software engineering community through leadership roles in major conferences and journals. He serves on the steering committees of ICMT, SLE, SATTOSE, MiSE, and RoSE, and is on the editorial boards of SoSyM, IEEE Software, Journal of Object Technology, and IET Software. His work has been published in over 200 papers across top-tier venues. He has contributed to numerous European and Italian research projects since 2006, applying MDE concepts to real-world systems. Current teaching includes Software Engineering for Autonomous Systems and Software Engineering for the Internet of Things, with office hours on Tuesdays and Wednesdays from 11:30-13:30 at Edificio Alan Turing, Room 208.

Patricia Lagoمشاهده پروفایل

استاد

• Software Engineering
• Software Architecture
• Software Sustainability
• +۴ مورد دیگر

Patricia Lago is a Professor at the Vrije Universiteit Amsterdam, where she leads the Software and Sustainability (S2) research group in the Computer Science Department. She serves as a member of the IEEE ICSA and ECSA Steering Committees, and is the Steering Committee Chair of the ICT4S conference series. Dr. Lago is also the initiator of the Computer Science Master Track in Software Engineering and Green IT, and the director of the Master Information Sciences program. Dr. Lago earned her PhD in Control and Computer Engineering from Politecnico di Torino and a Master in Computer Science from the University of Pisa, both in Italy. Her research focuses on creating software engineering knowledge that makes software better, smarter, and more sustainable. She emphasizes industrial relevance and practical application, focusing on the 'real' needs of practice through collaboration with partners from both private and public sectors. Her specific research areas include software architecture, sustainability, software design and modeling, and software quality assessment. Dr. Lago's recent publications demonstrate a strong trend toward sustainable software engineering, with particular emphasis on energy efficiency, green architectural patterns, and sustainability assessment frameworks. Her work bridges theoretical research with practical applications, especially in areas like robotics, machine learning systems, and cloud computing, where sustainability considerations are increasingly critical. Dr. Lago co-founded the Green Lab, a collaborative space where researchers, students, and companies work together to measure the energy footprint of software solutions. She has been actively involved in numerous conferences and workshops related to software sustainability, serving in leadership roles including as NIER Co-Chair at ICSE 2021.

Christopher Rügerمشاهده پروفایل

پژوهشگر

• Analytical Chemistry
• Mass Spectrometry
• High-Resolution Mass Spectrometry
• +۱۱ مورد دیگر

Dr. Christopher Rüger is a research group leader and habilitation candidate at the Chair of Analytical Chemistry, University of Rostock, within the Interdisciplinary Faculty Life Light & Matter. He leads the 'High-Resolution Mass Spectrometry' group and has been active in research since 2015, following his B.Sc. and M.Sc. in Chemistry from the same university. He completed his doctorate in 2018 and held a postdoctoral position at the University of Rouen, France, before returning to Rostock in 2019. Research Interests: His work focuses on developing and applying advanced mass spectrometry techniques, particularly high-resolution and FT-ICR MS, coupled with thermal analysis and novel ionization methods (photo-, laser-, chemical ionization). He investigates complex materials including petroleum, bitumen, aerosols, polymers, and combustion particulates, with applications in energy, environmental science, and materials chemistry. The trend in his recent publications shows a strong emphasis on molecular-level characterization of complex organic mixtures using hyphenated analytical techniques. His research bridges analytical chemistry with environmental, materials, and astrochemistry, particularly through collaborations on ship emissions, wildfire particulates, Titan’s atmospheric analogs, and polymer degradation. He frequently employs ion mobility spectrometry and innovative data processing to enhance structural elucidation. Scientific Recognition: No formal scientific awards or fellowships are listed in the provided texts. Advising and Grants: While no formal students are listed, Dr. Rüger leads a research group and collaborates widely. He is involved in several funded projects, including the European Network of FT-ICR MS Centers, the AerOrbi Eurostars project on aerosol photoionization, SAARUS (scrubber emissions), TBI (thermolysis reactor development), and a DFG-RFBR German-Russian collaboration on wildfire particulates. These projects reflect his interdisciplinary approach and international collaborations, particularly with the iC2MC Lab in France. Laboratories and Teams: He heads the 'High-Resolution Mass Spectrometry' research group at the University of Rostock and maintains a close collaboration with the iC2MC (International Complex Matrices Molecular Characterization) Lab at CNRS, France. His work is conducted within the Department of Analytical Chemistry, Institute of Chemistry, under the interdisciplinary umbrella of 'Life – Light – Matter,' facilitating cross-domain research.

• Empirical software engineering
• Software architecture
• Design patterns
• +۸ مورد دیگر

Justus Bogner is a researcher at the Institute of Software Engineering (ISTE) and leads the division for Software Engineering for AI- & Microservice-Based Systems (SE4AI&MS) at the University of Stuttgart. His work focuses on empirical software engineering , microservices , AI-based systems , and software evolvability . He has contributed extensively to understanding architectural migration, technical debt in AI systems, and quality assurance methodologies. His research spans various subfields including service-oriented architecture , RESTful API design , design patterns , and software maintainability metrics . Recent publications highlight empirical comparisons between JavaScript and TypeScript, frameworks for microservice migration, and systematic studies on AI engineering challenges. Bogner's work often bridges academic research with industry practices through collaborations with IEEE and Springer, though no specific awards or student advisories are mentioned in the provided text.

• High-Performance Computing
• Parallel Programming
• Computer Architecture
• +۳ مورد دیگر

Prof. Dr. rer. nat. Matthias S. Müller is a Universitätsprofessor and Director of the IT Center at RWTH Aachen University. His research focuses on High-Performance Computing (HPC), parallel programming models, correctness verification, energy-aware computing, and tools for distributed systems. He leads the High-Performance Computing group, contributing to advancements in HPC resource management, runtime systems, and sustainable computing practices. Key areas of expertise include MPI and OpenMP correctness checking, static and dynamic analysis techniques, performance optimization for heterogeneous architectures, and energy footprint modeling. Müller has extensively collaborated on projects like MUST (MPI correctness tool), OMPT tools, and frameworks for analyzing hybrid parallel applications. His work bridges theoretical computer science with practical implementation challenges in large-scale computing environments. Notable contributions include developing methods for data race detection in Remote Memory Access (RMA) programs, latency-aware power management models, and educational frameworks for HPC lab courses. His research often emphasizes tool development, runtime systems, and interdisciplinary applications of HPC across engineering domains. Müller's lab is part of RWTH Aachen's IT Center, which provides infrastructure and expertise for computational research. He actively publishes in top-tier conferences and journals, addressing challenges in parallel programming, energy efficiency, and distributed computing systems.

André Borrmannمشاهده پروفایل

استاد

• Artificial Intelligence
• Building Information Modeling & Processing
• Digital Twinning
• +۷ مورد دیگر

Prof. Dr.-Ing. André Borrmann is an academic leader at the Technical University of Munich (TUM) , where he has headed the Chair of Computing in Civil and Building Engineering since 2011 (formerly Computational Modeling and Simulation). He serves as Director of the TUM Georg Nemetschek Institute - AI for the Built World since 2025 and Spokesperson for the Leonhard Obermeyer Center since 2013. Research Interests Artificial Intelligence in Civil Engineering Digital Twinning Building Information Modeling (BIM) Pedestrian Dynamics Knowledge Representation Construction Simulation His work focuses on AI application across the built environment lifecycle - from generative design to maintenance prediction - with significant contributions to BIM standardization and buildingSMART International IFC extensions. He co-authored the German Ministry of Transport BIM Roadmap and led the BIM4INFRA2020 project. Awards include the 2024 Konrad Zuse Medal and multiple best paper awards at international conferences.