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Heiko KrabbeView profile

Professor

• Physics Education
• Science Education
• Educational Research
• +3 more

Heiko Krabbe is a Professor of Physics Education at Ruhr University Bochum, leading the Physics Education Group. He holds a seconded position in physics didactics at the University of Duisburg-Essen (AG Fischer) and teaches physics, mathematics, and music at Letmathe High School. His academic background includes a diploma in physics and teacher training from the University of Dortmund, a doctorate on 'Calculation of multipole moments using the basis set reduction method,' and additional studies in Practical Computer Science at Fernuniversität Hagen. He served as a Technical Project Manager in software engineering and legal trainee at Teacher Training College Hagen. His research focuses on learning-process-oriented instruction, language integration in physics teaching, and diagnostic tools for educational assessment. Notable projects include the SchriFT initiative on writing competencies and cross-age peer tutoring in experiments. Krabbe has authored monographs on language education in inclusive schools and co-edited foundational texts in physics didactics. His work emphasizes bridging disciplinary knowledge with pedagogical innovation, particularly in multilingual and heterogeneous classrooms. Key contributions include developing concept mapping tools for formative assessment, analyzing the impact of classroom language patterns on student learning, and evaluating teaching methods in extended lesson formats. His publications span over 30 peer-reviewed articles and book chapters, addressing topics such as experimental protocol writing, competency testing in mechanics, and teacher training methodologies.

Björn HäckelView profile

Research Professor

• Digital Value Networks
• Opportunity and Risk Management
• Digital Transformation
• +15 more

Prof. Dr. Björn Häckel is a Research Professor for Digital Value Networks at the Faculty of Computer Science, Augsburg University of Applied Sciences (THA). He is also the scientific director of the Data Analytics Technology Transfer Center in Donauwörth and leads the AI production network at THA. As deputy managing director of the Research Institute for Information Management (FIM), he oversees the 'IT-supported Financial Management' research group and collaborates closely with the Fraunhofer Institute for Applied Information Technology. Doctorate in Business Administration (summa cum laude, University of Augsburg, 2010) Habilitation in Business Informatics (University of Augsburg, 2015) W2 Professorship in Industrial Engineering (University of Augsburg, 2013–2016) His research centers on digital transformation, particularly in Industry 4.0, smart factories, and digital value chains. He explores integrated opportunity and risk management, data-driven business models, and sustainable digitalization. His work bridges technical innovation with economic evaluation, focusing on IT investment decisions, AI applications, and cybersecurity in production systems. The recent publications reflect a strong trend in digital transformation, with emphasis on risk management in smart factories, human-AI collaboration, federated learning, and sustainability through AI. His work spans both theoretical frameworks (e.g., maturity models, taxonomies) and practical applications in industries like automotive, energy, and manufacturing. His scientific awards include earning his doctorate summa cum laude . He has contributed to numerous applied research projects with industry leaders such as BMW Financial Services, Infineon, Carl Zeiss, and ZF Friedrichshafen. Developed maturity models for incident response, agile IT, and product-service systems Created frameworks for evaluating IT security risks, data value, and AI services Advises multiple researchers and leads collaborative projects across academia and industry He leads the Data Analytics Technology Transfer Center and the AI production network, fostering innovation and knowledge exchange between research and industry. His work in the FIM research institute strengthens applied business informatics in both public and private sectors.

Christof SchöchView profile

Professor

• Digital Humanities
• Computational Literary Studies
• Quantitative Text Analysis
• +7 more

Professor Christof Schöch is a leading academic at the University of Trier and co-director of the Trier Center for Digital Humanities (TCDH) since 2017. He co-edits the Journal of Computational Literary Studies (JCLS) and has held significant leadership roles including chair of the German-speaking Digital Humanities Association (DHd 2018–2022) and president of the Alliance of Digital Humanities Organizations (ADHO 2023–2024). Completed doctorate in French Literature (binational Kassel/Paris, 2008) Thesis: La Description double dans le roman français des Lumières 1760-1800 Degree: Romance Languages, English, Psychology Schöch's research focuses on Computational Literary Studies , particularly statistical text analysis , data modeling , and quantitative methods applied to French Enlightenment literature and modern/contemporary French novels . He champions Open Science practices including open access, open data, and open source software. His work also intersects with digital publishing , copyright issues , and reproducibility in Digital Humanities . Recent publications highlight trends in multilingual stylometry , LLM applications , and historical data modeling . Notable contributions include the European Literary Text Collection (ELTeC) and MiMoTextBase RDF dataset. His academic awards include the 2010 Prix Germaine de Stael for his dissertation. Schöch actively develops digital infrastructure through projects like Wikibase instance for academic activity tracking and coleto text collation software. He participates in international collaborations such as the Text+ AG Legal and Ethical Issues and CLS INFRA infrastructure project. His teaching includes Advanced Digital Humanities courses on law and digital humanities and data analysis methods.

Robert HechtView profile

Senior Lecturer

• Geoinformatics
• Spatial Analysis
• Urban Analytics
• +15 more

Robert Hecht is a Senior Lecturer at the Chair of Spatial Development and Transformation, Faculty of Environmental Sciences, Dresden University of Technology (TUD), and a Senior Researcher and Project Coordinator at the Leibniz Institute of Ecological Urban and Regional Development (IOER). His work bridges academic research and practical urban planning, with a strong focus on geospatial technologies, machine learning, and citizen science. Research Interests: Spatio-temporal analysis of urban and settlement structures Machine learning and AI in geospatial data Urban green space monitoring and accessibility Volunteered Geographic Information (VGI) and crowdsourcing Building stock analysis and climate-friendly architecture Quality of spatial data and open urban data platforms Recent Research Trends: His recent publications highlight a shift toward open, participatory urban data ecosystems. He leads the Colouring Cities initiative, particularly the Colouring Dresden platform, which uses citizen science to document building characteristics for research and climate resilience. His work increasingly integrates digital twins, urban analytics, and interdisciplinary methods to address urban sustainability and equity in access to green and medical services. Scientific Awards: Winner, Citizen Science Competition 'Auf die Plätze!' (2022) Best Paper Award, SDSC2021 Winner, Pallas Ludens Crowdsourcing Challenge (2015) DAAD Research Scholarship (IIT Kanpur) Advising and Grants: While no direct advisees are listed, Hecht has led or contributed to numerous funded research projects such as GOAT 3.0, meinGrün (BMVI), ScaDS.AI (BMBF), ENOB:dataNWG (BMWI), and the Colouring Cities Research Programme. He has secured funding from federal ministries and international bodies, demonstrating strong grant leadership in urban data science and sustainability. Labs and Teams: He is a key member of the Research Area Spatial Information and Modelling at IOER and leads the European Hub of the Colouring Cities Research Programme . He collaborates with interdisciplinary teams across Germany and Europe, including researchers in geoinformatics, urban planning, ecology, and computer science.

Kirstin Hagelskjaer PetersenView profile

Assistant Professor

• Robotics and Autonomy
• Artificial Intelligence
• Bio-inspired Design
• +6 more

Kirstin Hagelskjaer Petersen is an Assistant Professor and Aref and Manon Lahham Faculty Fellow at Cornell University's School of Electrical and Computer Engineering , while also serving as Visiting Professor at Germany's Cluster of Excellence IntCDC (University of Stuttgart). She directs Cornell's Collective Embodied Intelligence Lab , pioneering bio-inspired robotics solutions. B.S. in Electro-technical Engineering (Odense University College of Engineering, 2005) M.S. in Computer Systems Engineering (University of Southern Denmark, 2008) Ph.D. in Computer Science (Harvard University, 2014) Her research focuses on collective robotic systems that emulate natural swarms (ants, bees, termites), emphasizing hardware-software co-development , human-swarm interaction , and bio-hybrid collectives . By integrating environmental dynamics into design, her work addresses scalable autonomy, error tolerance, and physical interaction optimization. Publications demonstrate expertise in soft robotics , swarm coordination , and biological-behavior translation across disciplines like entomology and architecture. Her ShadowSense technology (2020) enables touch detection through shadow imaging, reducing sensor complexity while maintaining privacy. Packard Fellowship for Science and Engineering (2019) Elisabeth Schiemann Kolleg Fellow (2016) Science Magazine Top 10 Scientific Achievement (2014) She leads NSF-funded projects on inflatable social robots for emergency guidance, collaborating with entomologists and plant scientists. Her lab develops bio-inspired solutions for digital agriculture and autonomous construction, with applications in emergency response and environmental monitoring.

Zuardin AkbarView profile

Researcher

• Computational Design
• Artificial Intelligence in Architecture
• Material Computation
• +5 more

Zuardin Akbar is a Doctoral Researcher and PhD Student at the Institute for Computational Design and Construction (ICD/CA) at the University of Stuttgart, Germany. He is affiliated with the Cluster of Excellence IntCDC and the Computing in Architecture group, focusing on AI-driven computational design frameworks and resource-aware architecture. Education Master of Architecture (M.Arch), Bartlett School of Architecture (BSA), University College London (UCL) Bachelor of Engineering (B.Eng), Universitas Gadjah Mada (UGM), Indonesia His research integrates machine learning, material computation, and automated construction to advance sustainable architectural practices. Projects include AI-based design optimization, 3D-printed mycelium composites, and self-shaping wood bilayer systems. His publications highlight trends in data-driven material optimization, open-source computational design pedagogy, and machine vision applications for bio-informed fabrication. These works align with subfields like sustainable material systems, parametric geometry, and AI-driven design workflows. Scientific Awards Sir Peter Cook Award, BSA (for master project on high-resolution architecture tectonic and machine learning) Zuardin has collaborated with institutions such as the University of Kassel, Singapore University of Technology and Design, and the 3D printing startup Ai-Build. He contributes to software development projects like Opossum, Robot Component, and Ai Sync, and is involved in the Associated Project 43 – RAW (Resource Aware Architecture) under IntCDC.

Lennard HettichView profile

Researcher

• Software Engineering
• Cyber-physical Systems
• Automotive Engineering
• +4 more

Lennard Hettich is a Doctoral Researcher and Academic Staff Member at the Institute of Automation and Software Systems within the University of Stuttgart . He contributes to the Cluster of Excellence IntCDC (Integrative Computational Design and Construction for Architecture) and focuses on validation of software product lines and dynamic reconfigurable automotive systems. Research Focus : Validation of software product lines, digital twins, and AI-driven approaches for cyber-physical systems (CPS) in automotive contexts. Key Projects : Includes synthetic data generation for autonomous construction machinery and software-defined vehicle platforms. His work addresses upgradeability, runtime resilience, and sensor calibration/fusion in automotive architectures, with practical implementations using ROSMARIN framework and demonstrator setups. Collaborations with co-authors like Michael Weyrich, Tobias Pett, and Nasser Jazdi are central to his publications. While no explicit scientific awards are listed, his research emphasizes reducing resource waste in maintenance planning and improving testing efficiency through risk-based methodologies in CI/CD pipelines.

Gili RonView profile

Researcher

• Human-Robot Collaboration
• Machine Learning
• Co-Design
• +4 more

Gili Ron is a doctoral researcher and research associate at the Institute for Computational Design and Construction (ICD) and the Department for Computing in Architecture (CA) at the University of Stuttgart. She is affiliated with the Cluster of Excellence IntCDC and the International Max Planck Research School for Intelligent Systems (IMPRS-IS). Education: Master in Architecture from The Architectural Association (EmTech, AA), London; Bachelor in Architecture from Tel-Aviv University. Her research focuses on human-robot collaboration (HRC) and machine learning in architectural co-design and fabrication, analyzed through feminist technoscience frameworks. She explores how AI and robotics can enhance creativity, agency, and inclusivity in construction while addressing sustainability and demographic challenges. Recent publications analyze feminist technoscience perspectives in HRC, robotic training for timber assembly, and democratizing computational design tools. Her work integrates social science with architectural computing to develop adaptive fabrication methods and collaborative design practices. Scientific Awards: Auf IT Gebeaut Best Thesis Award (2024) Stuttgart University Equitable Spaces Award (2025) IntCDC Blue Sky Project Grant (2022) She has taught seminars and workshops on computational design, human-robot collaboration, and AI in architecture. Ron is actively involved in jury panels at institutions like UCL, Cornell University, and University of Stuttgart, and contributes to projects like IRIS-3D, which reimagines automation in construction through equity and creativity.

Gregor MichalicekView profile

Researcher

• Computational Materials Science
• Density Functional Theory
• Electronic Structure Theory
• +2 more

Dr. Gregor Michalicek serves as a Researcher at the Quantum Theory of Materials (PGI-1) within the Peter Grünberg Institute at Forschungszentrum Jülich, Germany's premier interdisciplinary research center under the Helmholtz Association. His position focuses on advancing computational methodologies for materials simulation and electronic structure calculations. His core research interests span: Density Functional Theory (DFT) and its algorithmic implementations Full-Potential Linearized Augmented-Plane-Wave (FLAPW) method development High-performance scientific software engineering Electronic structure prediction for novel materials Numerical method optimization in quantum mechanics Michalicek is a principal contributor to the FLEUR code project, an open-source computational framework enabling first-principles simulations of material properties at atomic scales. His work bridges theoretical physics with practical software solutions for complex quantum mechanical systems, directly supporting Forschungszentrum Jülich's mission in energy and information research. Based at the Jülich campus in Building 04.12, Room 106, he maintains active scientific engagement through his ORCID profile (0000-0003-4719-188X) and direct institutional contact (+49 2461/61-2512), though formal advising roles and publication details are not explicitly documented in current institutional records.

Bernhard BeckertView profile

Professor

• Formal Methods
• Software Verification
• Security and Dependability
• +9 more

Prof. Dr. Bernhard Beckert is a faculty member at the Karlsruhe Institute of Technology (KIT) , affiliated with the Department of Informatics and the Institute of Information Security and Dependability (KASTEL) . His research focuses on formal verification of software systems, particularly through logic-based methods, security and dependability analysis, automated deduction in classical and non-classical logics, and applications to voting algorithms, industrial automation, and scientific software. Email: beckert@kit.edu Office: Building 50.34, Room 224, KASTEL, Am Fasanengarten 5, 76131 Karlsruhe, Germany He develops and applies the KeY system for deductive verification of object-oriented software, with applications in Java, PLCs, and safety-critical systems. His work addresses challenges in regression verification, information flow security, and multi-phase verification for robotic surgery. Recent publications focus on equivalence analysis of control software variants, program slicing, loop bound computation, and formalization of voting rules using bounded model checking. Key contributions include integrating design and verification workflows, dynamic logic extensions for concurrency, and tools for security-sensitive software engineering.

• Recommender Systems
• Information Retrieval
• E-Government
• +5 more

Iván Cantador is a Professor at the Autonomous University of Madrid, Spain, specializing in Recommender Systems, Information Retrieval, and E-Government applications. His research bridges computer science with social applications, particularly focusing on how technology can enhance citizen participation and government services. His research interests include: Recommender Systems and Personalization Cross-Domain Recommendation Argument Mining and Analysis E-Government and Digital Citizen Participation Social Media Analysis for Public Services Open Data Applications Cantador's recent work demonstrates a strong focus on the intersection of recommendation technologies with civic engagement. His publications show how recommender systems can be adapted for e-participation platforms, helping citizens navigate complex government information and participate more effectively in democratic processes. He has also made significant contributions to argument mining, developing tools and frameworks to analyze citizen input in government consultations. His research on misinformation highlights how recommendation algorithms can inadvertently amplify false information, and he has proposed methods to mitigate these effects while maintaining system effectiveness. Scientific contributions: Developed innovative approaches to cross-domain recommendation systems Created tools for argument annotation and analysis in citizen participation contexts Advanced methods for integrating sentiment analysis into recommendation frameworks Contributed to understanding how recommendation algorithms affect information diversity and potential misinformation spread Designed chatbots and conversational agents for government services Cantador has been actively involved in numerous research projects related to e-government and citizen participation, often collaborating with interdisciplinary teams that include computer scientists, political scientists, and public administration experts. His work has practical applications in improving how citizens interact with government services and participate in democratic processes through digital channels.

• Computer Science
• Semantic Web
• Ontology Matching
• +3 more

Alsayed Algergawy is a researcher at the Institute of Computer Science , Friedrich Schiller University Jena . His work focuses on ontology alignment , schema matching , and knowledge graph integration . Affiliation: Friedrich Schiller University Jena, Institute of Computer Science Research interests span semantic web technologies , machine learning for data integration , and ontology engineering , with applications in biodiversity and invasion biology . He has developed tools like OAPT for ontology partitioning and DREIFLUSS for table matching. His recent publications emphasize LLM-driven knowledge graph completion , semantic annotation of scientific datasets , and clustering-based ontology matching . Collaborative projects include BiodivNERE for NLP in biodiversity and INBIO (Invasion Biology Ontology).

• Responsible AI Engineering
• Human Values in Software Development
• Model-Driven Engineering
• +3 more

Jon Whittle is a Professor at Monash University's Faculty of Information Technology and leads research at CSIRO/Data61 in Sydney, Australia. His work focuses on Responsible AI Engineering , Human Values in Software Development , and AI Governance Frameworks . He has published extensively on architectural patterns for foundation models, ethical AI implementation, and value-sensitive design methodologies. Current affiliations: Monash University, CSIRO/Data61 Key research areas: Responsible AI, Model-Driven Engineering, Human Values in Tech His recent publications (2023-2025) analyze reference architectures for generative AI, AI risk assessment frameworks, and human value integration in mobile applications. Collaborators include Qinghua Lu, Liming Zhu, and Waqar Hussain. Scientific contributions span AI Ethics , Software Architecture , and Collaborative Human-AI Systems . Notable work includes developing the QB4AIRA question bank for AI risk assessment and creating pattern catalogues for responsible AI.

• Network Security
• Cyber-Physical Systems Security
• BGP Routing Security
• +6 more

Gabi Dreo Rodosek is a distinguished researcher and faculty member at Bundeswehr University Munich , Germany. With a prolific publication record spanning over three decades, she has contributed extensively to the fields of network security, cyber-physical systems, BGP routing security, and software-defined networking (SDN). Research Interests: Network Security & Intrusion Detection BGP Routing Security & RPKI Software-Defined Networking (SDN) Malware Analysis & Adversarial Machine Learning Mobile Ad-hoc Networks (MANETs) Content Delivery Networks & IP Geolocation Her recent work focuses on advanced BGP security mechanisms, including path plausibility algorithms and RPKI deployment strategies. She has also explored adversarial techniques in machine learning, particularly in the context of malware detection and evasion. Her research in SDN-based defenses includes novel frameworks for DDoS mitigation and anomaly detection in 5G networks. Scientific Contributions: Over 159 peer-reviewed publications (1991–2025) Key contributions to BGP security, including RPKI validation and route leak mitigation Pioneering work in adversarial machine learning for cybersecurity Development of SDN-based intrusion detection and threat hunting frameworks Collaborations & Advising: She has mentored and collaborated with numerous researchers, including Nils Rodday, Peter Hillmann, Florian Steuber, and Raphael Labaca Castro. Her work often involves interdisciplinary teams tackling challenges in network security, AI-driven defense mechanisms, and resilient communication systems. Labs & Teams: While specific lab affiliations are not detailed in the provided text, her extensive collaboration network and affiliation with Bundeswehr University Munich suggest involvement in leading cybersecurity and networking research initiatives.

• Parallel and Distributed Systems
• High Performance Computing
• GPU Programming
• +9 more

Prof. Dr. Sergei Gorlatch is a full professor at the University of Münster, Germany, in the Department of Mathematics and Computer Science, where he holds the Chair of Practical Computer Science (Parallel and Distributed Systems) within the Institute of Computer Science. He has been a leading figure in high-performance and parallel computing since joining the university in 2003. University: University of Münster School: Department of Mathematics and Computer Science Department: Institute of Computer Science Academic Rank: Professor His research focuses on algorithm and software development for modern computer systems, particularly in parallel and distributed computing, high-performance computing (HPC), GPU-based systems, cloud and grid computing, and performance optimization. His work bridges theoretical formal methods and practical applications, especially in real-time online interactive systems such as online games and simulations. He has pioneered frameworks like SkelCL, dOpenCL, and the Real-Time Framework (RTF) to simplify parallel programming and improve performance portability. The recent publications (2020–2024) reflect a strong trend in GPU programming, performance optimization, formal verification, and distributed systems. Key themes include the development of safe and high-level GPU languages (e.g., Descend), autotuning and model checking for performance, multi-cloud orchestration, and performance modeling of legacy and real-time systems. His work often combines compiler techniques, functional programming, and systematic transformations to achieve efficient and portable code. Best Poster Award – PUMPS+AI, 2019 Best Paper Award – CGO, 2018 Alexander von Humboldt Research Fellowship, 1991 Prof. Gorlatch has supervised numerous students and researchers, many of whom are frequent co-authors on his publications. He has led multiple funded projects from DFG, EU (e.g., CoreGrid, MONICA), and industry (e.g., NVIDIA Graduate Fellowship). His work includes both theoretical contributions (e.g., algorithmic skeletons, formal verification) and applied systems development, demonstrating a strong record of advising, grant acquisition, and interdisciplinary collaboration. He is actively involved in several research labs and teams at the University of Münster, particularly those focused on parallel computing, GPU programming, and real-time systems. His group develops high-level programming models and tools to make parallel computing more accessible and efficient across diverse architectures.