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Martin HaspelmathView profile

Adjunct Professor

• Comparative Linguistics
• Language Universals
• Linguistic Typology
• +3 more

Martin Haspelmath is a Senior Research Scientist at the Department of Linguistic and Cultural Evolution at the Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, and an honorary (adjunct) professor at Leipzig University. His research focuses on comparative linguistics, language universals, and typology, particularly in syntactic and morphological systems. He co-edited the World Atlas of Language Structures (2005/2013) and co-founded Language Science Press . Education: PhD in Linguistics, Freie Universität Berlin (1990–1993) MA in Linguistics, University of Cologne and University at Buffalo (1985–1989) Undergraduate studies in Linguistics, University of Vienna (1983–1985) Research Interests: Haspelmath investigates global grammatical diversity, form-function correspondences, and universals in syntax, morphology, and lexical systems. His work emphasizes comparative concepts for cross-linguistic analysis and critiques traditional grammatical categories. Grants & Projects: ERC project leader at Leipzig University (2015–2020) Co-creator of Grambank , an open-access database of grammatical structures Leading initiatives for open-access publication and linguistic data sharing Labs/Teams: Active in the MPI's Department of Linguistic and Cultural Evolution, collaborating on projects like APICS (Atlas of Pidgin and Creole Language Structures) and ValPal (Valency Patterns Leipzig).

• Software Engineering
• Deep Learning
• Autonomous Systems
• +3 more

Prof. Dr. Andrea Stocco is a Professor at the Technische Universität München (TUM), affiliated with the TUM School of Computation, Information and Technology. His research focuses on the intersection of software engineering and deep learning, particularly addressing the robustness and reliability of data-intensive systems. Key areas include autonomous vehicles, web application testing, and automated functional oracles for deep learning systems. He leads initiatives such as the Lehrstuhl für Software und Systems Engineering , collaborating on projects like CrESt and SUPPRA – Algorand Center of Excellence . Research interests encompass monitoring techniques for AI-driven systems, test suite maintainability, and scenario-based testing of cyber-physical systems (CPS). His work emphasizes practical applications, such as improving testing frameworks for evolving web applications and enhancing interoperability in autonomous driving systems (ADS). Recent efforts include leveraging large language models (LLMs) for secure code assessment and benchmarking generative AI for test input generation. No scientific awards are explicitly mentioned in the provided texts. His publications reflect a strong focus on testing methodologies, with over 40 articles since 2013, covering domains like web test automation, dependency-aware testing, and safety-critical failure prediction in autonomous systems. Advising and grants details are not detailed in the current data, but his lab contributes to TUM's broader efforts in software engineering and systems reliability.

• Network Security
• Android Security
• Malware Analysis
• +6 more

Vijay Laxmi is a Professor in the Department of Computer Science and Engineering at Malaviya National Institute of Technology (MNIT) Jaipur, India. With over a decade of active research publication from 2014-2024, Dr. Laxmi has established themselves as a prominent researcher in network security, Android security systems, and Network-on-Chip architectures. Their work demonstrates consistent collaboration with Manoj Singh Gaur and numerous doctoral students at MNIT Jaipur. Dr. Laxmi's research interests span Network Security, Android Security, Malware Analysis, Network-on-Chip Architectures, Routing Protocols, Side-Channel Attacks, Wireless Networks, and Mobile Security. Their work bridges theoretical security frameworks with practical implementations, particularly in mobile and embedded systems. Recent publications indicate a growing focus on AI-based security approaches including GAN applications for fuzzing and deep learning for image dehazing. The research trajectory shows increasing sophistication in security analysis techniques, evolving from basic malware detection to advanced side-channel attack analysis and sophisticated network security protocols. Recent publications demonstrate expertise in both theoretical frameworks and practical implementations with applications in real-world security challenges. Dr. Laxmi has mentored numerous graduate students including Vineeta Jain, Anugrah Jain, Sonal Yadav, Mohit Singh, and Gaurav Singal, who appear as co-authors across multiple publications. Their collaborative network extends to researchers at international institutions, indicating strong academic connections beyond their home institution.

• Medical Informatics
• Artificial Intelligence in Healthcare
• Healthcare Data Integration
• +7 more

Prof. Martin Boeker is a Professor of Medical Informatics at the Technical University of Munich (TUM), affiliated with the TUM School of Medicine and Health. His work focuses on advancing healthcare through AI-driven solutions, interoperability frameworks, and precision medicine initiatives. Key projects include the German Medical Text Corpus (GeMTeX) and the MIRACUM DIFUTURE Alignment Hub. Expertise: Medical Informatics, AI in Healthcare, Federated Learning, Health Data Integration Key Contributions: FHIR-based systems, clinical decision support, patient-centered outcomes research Leadership: Director of the Institute for AI and Informatics in Medicine at TUM Hospital Right of the Isar Research emphasizes bridging clinical practice and data science through projects like modular health crawlers, automated guideline adherence monitoring, and cross-institutional medical NLP solutions. His work spans oncology informatics, rare disease management, and pandemic response data ecosystems. Recent articles highlight innovations in digital twins for precision oncology, federated analysis in oncology, and German-language medical NLP challenges. He collaborates internationally on EHR standardization and healthcare interoperability, contributing to the Medical Informatics Initiative (MII) and pandemic evidence ecosystems. Grants and collaborations involve the German Federal Ministry of Education and Research, European initiatives, and industry partnerships. Educational efforts focus on training future medical informatics professionals through MII competency programs.

Tobias FiebigView profile

Assistant Professor

• Network Security
• Human Factors in Security
• Internet Measurement
• +5 more

Dr.-Ing. Tobias Fiebig is a Senior Researcher at the Max Planck Institute for Informatics (Internet Architecture department) since April 2022. He previously served as a permanent Assistant Professor at TU Delft's Faculty of Technology, Policy and Management from 2017-2022. His work combines network measurement with human factors to improve security practices, focusing on email protocols, DNS infrastructure, and academic cloud migration. PhD in Computer Science from TU Berlin (2017) MSc in System and Network Engineering from University of Amsterdam (2013) BSc in Cognitive Science from University of Osnabrück (2012) His research spans Internet security (DNS, IPv6, email), academic freedom in cloud contexts, and human-centered security challenges. Recent work analyzes MTA-STS deployment, DNS sampling biases, and university cloud migration privacy implications. He has presented at top conferences including USENIX Security , IEEE Symposium on Security and Privacy , and ACM CCS . Teaching roles include lecturing Data Networks (2023-24) and On the Practice of System and Network Engineering (2024), with prior module management in cyber security analytics and sustainable system operations.

Yangruibo DingView profile

Assistant Professor

• Software Engineering
• Large Language Models
• Agentic Systems
• +7 more

Yangruibo Ding is an incoming Assistant Professor in the Department of Computer Science at the University of California, Los Angeles (UCLA), and currently serves as a Postdoctoral Scientist at AWS Agentic AI. He has held significant research positions at Google DeepMind, Amazon AWS AI Labs, and IBM Research, establishing himself as a leading researcher in software engineering with a focus on large language models for code. His research focuses on developing large language models (LLMs) and agentic systems for software engineering. He specializes in training LLMs with advanced symbolic reasoning capabilities for debugging, testing, program analysis, and verification. His work aims to build efficient, collaborative agentic systems for complex software development and maintenance tasks, with particular emphasis on code generation, vulnerability detection, and execution-aware pre-training techniques. Dr. Ding's publication record reveals a strong trajectory toward enhancing code intelligence through comprehensive semantics reasoning and self-refinement approaches. His research spans multiple dimensions of software engineering including code completion, vulnerability detection, model evaluation, and cross-file context understanding, with applications across various programming languages and development environments. Dr. Ding has received numerous prestigious awards recognizing his contributions to the field: IBM Ph.D. Fellowship Award (2022-2024) ACM SIGSOFT Distinguished Paper Award (2023) IEEE TSE Best Paper Award Runner-up (2022) Ph.D. Service Award, Columbia CS (2025) NSF Student Travel Award for ESEC/FSE'23 (2023) ACM SIGSOFT CAPS Travel Grant (2023) NSF Travel Award for ICSE'22 (2022) As he establishes his research group at UCLA, Dr. Ding is actively seeking students with strong coding skills and experience in large language models, program analysis, verification, or security. He serves on program committees for major conferences including ICSE (2026), ASE (2024, 2025), and ESEC/FSE Artifacts Track (2023), and regularly reviews for top-tier conferences and journals in AI and software engineering. His research is conducted through collaborations with leading industry teams including AWS Agentic AI, Google DeepMind's Learning4Code team, and IBM Research's AI for Code team, creating a robust network of industry-academia partnerships that drive innovation in software engineering research.

Michael GröschelView profile

Professor

• Business Process Management
• Digital Transformation
• Business Models
• +3 more

Prof. Dr. Michael Gröschel is a Professor of Business Informatics at the Faculty of Computer Science, Mannheim University of Technology. His expertise spans Business Process Management (BPMN, Process Mining), Digital Transformation, and innovative Business Models. He teaches courses on BPM, project management, and e-business, often collaborating with industry clients through student projects. As a consultant, he specializes in BPMN training and IT-driven business strategy. His work emphasizes practical applications of IT tools like RPA and low-code platforms. Recent publications focus on RPA bot performance evaluation, AI in automotive trade, and business model-IT alignment. Prof. Gröschel’s research bridges academic insights with real-world challenges, particularly in leveraging technology for business innovation. He has authored books and articles on business intelligence tools, mobile business strategies, and digital customer care. His consulting services include executive coaching for academic career advancement and enterprise IT management best practices. Office: Building A, Room 007c | Phone: +49 621 292-6764 | Professional website available for further engagement opportunities.

Alexander PretschnerView profile

Professor

• Software Engineering
• Testing
• Information Security
• +5 more

Prof. Alexander Pretschner is a Professor of Software & Systems Engineering at the Technical University of Munich (TUM) and Founding Director of the Bavarian Research Institute for Digital Transformation (bidt). He also serves as Scientific Director of fortiss, a Bavarian research institute for software-intensive systems. His research focuses on software engineering, testing, information security, and ethical software development. Pretschner holds a PhD from TUM and has held academic positions at Karlsruhe Institute of Technology (KIT) and TU Kaiserslautern. He is a co-editor of several prestigious journals, including IEEE Transactions on Reliability and the Journal of Software Testing, Verification and Reliability. Education: PhD in Computer Science, Technical University of Munich MSc in Computer Science, University of Kansas (on Fulbright Scholarship) Diplom in Computer Science, RWTH Aachen University Research Interests: His work spans testing methodologies, secure software design, and ethical considerations in agile development. Notable contributions include frameworks for metamorphic testing, distributed data usage control, and accountability mechanisms for cyber-physical systems. Awards: IBM Faculty Award (2012, 2013) Google Focused Research Award (2011, 2012) EARTO Innovation Prize (2014) 2nd Platz Supervisory Award (2020) Advising & Grants: Pretschner has supervised numerous PhD and Master’s students, contributing to over 200 publications. He leads projects like EDAP (Ethical Deliberation in Agile Processes) and collaborates with industry partners on cybersecurity and AI ethics initiatives. Labs & Teams: His work is anchored in bidt, fortiss, and TUM’s Chair of Software & Systems Engineering, focusing on societal impacts of digitalization and trustworthy AI systems.

• Qualitative Research Methods
• Social Representations of Health and Illness
• Chronic Illness
• +12 more

Uwe Flick is a Seniorprofessor in the Department of Education and Psychology at Freie Universität Berlin, specializing in Qualitative Social and Education Research. He has held professorships at Alice Salomon University and Hannover Medical School and is internationally recognized for his contributions to qualitative methodology. Education: Dr. phil. from Freie Universität Berlin (1988), Habilitation in Psychology from Technical University of Berlin (1994). Professional Affiliations: Freie Universität Berlin (2013–present, Seniorprofessor since 2022), Alice Salomon University (2004–2013), Hannover Medical School (1996–1997). His research centers on qualitative methods , social representations of health and illness , chronic illness , migration , and vulnerability . He investigates the lived experiences of marginalized groups, including chronically ill youth, homeless adolescents, and refugees, often employing triangulation and mixed methods to deepen understanding. The 15 most recent publications highlight his sustained focus on advancing qualitative research methodology—editing handbooks, writing foundational texts, and refining concepts of research quality, triangulation, and design. Simultaneously, his empirical work explores health communication, peer relationships, and integration challenges among vulnerable populations, demonstrating a powerful integration of methodological innovation with socially relevant inquiry. Scientific Awards: Lifetime Achievement Award in Qualitative Inquiry, ICQI (2019) Flick actively advises doctoral students through his Promotionskolloquium and has secured substantial research funding for projects on refugee integration, sleep disorders, and chronic illness. His editorial roles in journals like Qualitative Research , Journal of Health Psychology , and Sozialer Sinn , and his leadership in book series such as Qualitative Sozialforschung , underscore his influence in shaping the field. He is a central figure in qualitative research communities, frequently engaging as a visiting scholar and professor across Europe and globally. He leads a research team at Freie Universität Berlin, supervising master’s and doctoral projects on topics like peer relations, health concepts, and migration, fostering the next generation of qualitative researchers.

• Software Engineering
• Computer Systems
• Software Security
• +11 more

Cristian Cadar is a Professor in the Department of Computing at Imperial College London, leading the Software Reliability Group . His research focuses on improving software reliability and security through practical techniques in software engineering, computer systems, and program analysis. Education: Ph.D. in Computer Science, Stanford University M.Eng. in Computer Science, MIT B.S. in Computer Science and Mathematics, MIT His research interests center on software engineering and software security , particularly symbolic execution , dynamic symbolic execution (DSE) , and multi-version execution . Current work explores techniques for scalability, constraint solving, and runtime security in software systems. Key trends in his recent articles include optimizing symbolic execution for testing, addressing path explosion in constraint-based test generation, and advancing multi-version execution for dynamic software updates. His publications also cover program analysis , automated testing , and formal methods for software reliability. Awarded prestigious honors such as the Humboldt Research Award (2024) , ERC Consolidator Grant (2018) , and IEEE New Directions Award (2022) . Other accolades include the BCS Roger Needham Award (2019) and SIGOPS Hall of Fame (2018) . Cadar supervises PhD and postdoctoral researchers in software reliability and security. His group has secured grants from the ERC and EPSRC , including a Consolidator Grant (2018) and Early-Career Fellowship (2013) . He actively contributes to conference organizing committees and editorial boards. The Software Reliability Group at Imperial College, led by Cadar, specializes in techniques like KLEE and EXE for automated testing. Their work has been adopted by industry partners such as Fujitsu, IBM, and Microsoft, particularly in runtime security tools like WIT .

Dieter BraunView profile

Professor

• Origins of Life
• Prebiotic Chemistry
• Molecular Evolution
• +5 more

Dieter Braun is a Professor in the Faculty of Physics at Ludwig Maximilian University of Munich (LMU), leading the Functional NanoSystems research group. He serves as speaker of the CRC 235 Emergence of Life and coordinates the Molecular Origins component of the Origins Cluster. Dr. Braun holds an ERC Synergy Grant (starting April 2025), leads the CRC 392 Molecular Evolution (starting April 2024), and is a Fellow in the Max Planck School Matter to Life (since October 2023). His research focuses on understanding the physical mechanisms that could have led to the emergence of Darwinian evolution from prebiotic molecules on early Earth. Braun's laboratory investigates non-equilibrium settings, particularly asymmetrically heated open cracks in rocks, which create intricate wet-dry cycles, temperature gradients, and fluidic effects that could drive molecular evolution. His work bridges physics, chemistry, and biology to explore how dead molecules might combine through physical forces into autonomous mechanisms of evolution. Analysis of Braun's recent publications reveals a strong focus on thermal gradients and non-equilibrium physics in prebiotic environments. His research demonstrates how heat flows can concentrate molecules, drive polymerization, create pH gradients, and enable non-enzymatic replication of nucleic acids. The publications span high-impact journals including Nature, Nature Physics, and Nature Chemistry, showing interdisciplinary work connecting physics, chemistry, geology, and biology in the context of life's origins. Klung-Wilhelmy Weberbank Price (2011) Technology Transfer Price of the DPG (with LMU and NanoTemper) Deutscher Innovationspreis (2012) Step Award (2012) Dr. Braun has successfully mentored numerous PhD students, including Stefan Duhr and Philipp Baaske who founded the award-winning startup NanoTemper Technologies. His research is supported by multiple prestigious grants including ERC Starting, Advanced, and Synergy Grants, as well as funding from the Simons Collaboration on the Origins of Life. His laboratory collaborates extensively with other researchers across disciplines and institutions, particularly with Hannes Mutschler in the new ERC Synergy project. The Braun laboratory operates within the CRC 235 Emergence of Life and the Origins Cluster at LMU Munich, with strong connections to the Max Planck Society through the Max Planck School Matter to Life. The research group maintains active collaborations with geochemists, biophysicists, and molecular biologists to create comprehensive experimental models of prebiotic environments.

• Information-Theoretic Security
• Quantum Communication
• Wireless Communication Networks
• +9 more

Moritz Wiese is a Researcher at the Chair of Theoretical Information Technology within the Department of Electrical and Computer Engineering at Technische Universität München (TUM) . His work focuses on information-theoretic security, quantum communication, and wireless networks, with significant contributions to interference modeling and secure coding schemes. Research Interests : Information-Theoretic Security, Quantum Wiretap Channels, MIMO Systems, 5G/6G Technologies, Physical Layer Security, and Network Coding. Key Grants : Involved in DFG-funded projects (Gottfried Wilhelm Leibniz Prize, UKoloS) and BMBF initiatives (6G-life, QuaDiQua). Collaborations : Worked with Prof. Holger Boche, Christian Deppe, and Rami Ezzine on secure communication and randomness generation. Labs : Active in the ACES Lab and 6G-life research hub, focusing on joint communication/sensing and neuromorphic computing. Publications : Over 20 papers on secure estimation, wiretap channels, and quantum secrecy, including top-tier journals like IEEE Transactions on Information Theory and Journal of Mathematical Physics .

Björn BrandenburgView profile

Researcher

• Real-Time Systems
• Scheduling Algorithms
• Real-Time Operating Systems
• +5 more

Björn Brandenburg is a researcher at the Max Planck Institute for Software Systems (MPI-SWS) in Kaiserslautern, Germany. His work focuses on real-time systems, scheduling algorithms, and operating system design, with a particular emphasis on predictable resource allocation and performance guarantees in multiprocessor and cyber-physical environments. His research interests include real-time response-time analysis (e.g., PROSA ), locking protocols for multiprocessor systems, side-channel mitigation in cloud environments, and the verification of real-time scheduling policies. He has contributed to foundational studies on deadline failure probabilities, self-suspending tasks, and predictable real-time Linux implementations. Scientific awards include recognition for outstanding papers on TimerShield (2017) Offline Equivalence (2017) . His work intersects with practical systems like LITMUSRT and ROS 2, aiming to bridge theoretical guarantees with real-world applications in safety-critical and distributed real-time systems.

Ingo ScholtesView profile

Professor

• Network Science
• Graph Neural Networks
• Computational Social Science
• +4 more

Prof. Dr. Ingo Scholtes is Chair of Machine Learning for Complex Networks at Julius-Maximilians-Universität Würzburg's Center for Artificial Intelligence and Data Science (CAIDAS). His research spans network science, graph machine learning, and computational social science, with applications in software engineering, ecology, biology, and physics. He received a Juniorfellowship from the German Informatics Society (2014) and an SNSF Professorship (CHF 1.5Mio, 2018). Current affiliations: JMU Würzburg (since 2021), University of Zurich (2018-2024), Bergische Universität Wuppertal (2019-2021) Research focus: Higher-order network modeling, temporal graph analysis, AI for collaborative systems, causality-aware machine learning His recent publications demonstrate strong trends in temporal network analysis , graph neural networks for time-series, and higher-order models across software engineering and social science domains. He co-chairs multiple international workshops on complex networks and serves as associate editor for EPJ Data Science and Advances in Complex Systems. Key scientific contributions: Foundational work on higher-order network models published in Nature Physics Methodological innovations in temporal network visualization (HOTVis) and path-based analysis (pathpy) As both educator and organizer, he leads the Computational Social Science Section at GI e.V., mentors across disciplines, and develops tools like git2net for collaboration analysis. His work bridges theoretical foundations with practical applications in network science.

• Learning Analytics
• Educational Technology
• Virtual Reality Education
• +5 more

Ulrik Schroeder is a Universitätsprofessor (Full Professor) at RWTH Aachen University, leading the Chair of Learning Technologies within the Faculty of Computer Science. His research focuses on the intersection of educational technology, learning analytics, and immersive technologies with particular emphasis on practical implementations in higher education settings. Professor Schroeder's research spans multiple interconnected domains in educational technology. His primary interests include Learning Analytics implementation (particularly using xAPI standards), Virtual Reality applications for education, Open Educational Resources development and conversion, and gamification approaches for programming education. He has developed several notable tools including convOERter for OER conversion, WebWriter for creating explorable explanations, and various xAPI-based learning analytics infrastructures. His work consistently bridges theoretical frameworks with practical educational applications, often focusing on computer science education contexts. Analysis of his recent publications reveals a strong trend toward integrating Learning Analytics with immersive technologies, particularly Virtual Reality environments. His research demonstrates a systematic approach to educational technology development, with emphasis on scalability, interoperability through standards like xAPI, and practical implementation in real educational settings. The work increasingly focuses on personalized learning paths, quality assurance for educational resources, and privacy-conscious data collection. Co-editor of 21. Fachtagung Bildungstechnologien (DELFI) (2023) Co-editor of Hochschuldidaktik der Informatik HDI 2018 Co-editor of DeLFI 2018 conference proceedings Professor Schroeder has supervised numerous doctoral and postdoctoral researchers who frequently appear as co-authors on his publications, indicating an active research group. His projects often involve interdisciplinary collaborations across computer science, education, and psychology. Current major initiatives include the AIStudyBuddy project for study path analysis and the development of VR classroom simulations for teacher training. His research group, the Learning Technologies Innovation Lab, develops open research tools that support various aspects of educational technology research and implementation.