Carlo D'Eramo is a Professor of Reinforcement Learning and Computational Decision-Making at the University of Würzburg. He leads the LiteRL group at hessian.AI until 2025 and is affiliated with the Intelligent Autonomous Systems group at TU Darmstadt's Computer Science Department, as well as the Hessian Centre for Artificial Intelligence. Ph.D. : Information Technology, Politecnico di Milano (2019) Double MSc : Computer Engineering, Politecnico di Milano (2015) and University of Illinois at Chicago (2015) BSc : Computer Engineering, Politecnico di Milano (2011) His research focuses on lightweight reinforcement learning methods for adaptive autonomous agents, spanning multi-task/curriculum RL, multi-agent RL, deep RL, uncertainty quantification, residual learning, and planning. He developed MushroomRL, a widely adopted RL library, and investigates how agents can acquire real-world expert skills efficiently. The 15 most recent publications highlight trends in deep reinforcement learning architectures, adversarial and multi-agent systems, domain randomization, and curriculum design. Key subfields include optimal transport applications, entropy maximization, neural network distillation, and bounded rationality frameworks for robust learning. He has contributed to top venues like ICML, NeurIPS, AAAI, ICLR, JMLR, and IEEE Transactions on Pattern Analysis and Machine Intelligence, with a focus on advancing scalable and adaptive RL methodologies.
Dr. rer. nat. Thomas Hermann is a faculty member at Bielefeld University's Faculty of Engineering, leading the Ambient Intelligence Group and coordinating the Computer Science program. He specializes in sonification, auditory data science, and smart environments. Head of Ambient Intelligence Working Group Computer Science Program Coordinator Member of multiple academic advisory boards His research focuses on interactive sonification for biomedical applications, quantum systems, and smart environments. Key projects include ECG sonification for cardiac diagnosis, real-time auditory feedback in swimming, and sonic interfaces for AR cooperation. Recent publications span 2025 with Python-based sonification tools ( pya AGen ), quantum system sonification, and ST-elevation myocardial infarction monitoring. He contributes to open-access supplementary materials and interdisciplinary workshops. As a researcher , Hermann develops practical sonification frameworks like Panson for facial behavior analysis, CardioScope for portable ECG monitoring, and Base Cube One for smart environments. His work bridges academic research with industry applications.
Professor Anke te Heesen is Chair of the History of Science with a focus on the history of education and the organization of knowledge in the 19th and 20th centuries at Humboldt-Universität zu Berlin. She has held this position since 2011 and is also the spokesperson (since 2024) of the DFG Center for Advanced Studies 'Applied Humanities – Politics and Genealogy,' alongside Professor Viktoria Tkaczyk. Previously, she served as Professor for Empirical Cultural Studies at the University of Tübingen (2008-2011) and founding director of the Museum of the University of Tübingen (2006-2008). Her academic career includes research positions at the Max Planck Institute for the History of Science in Berlin (1999-2006), the German Hygiene Museum Dresden (1998-1999), and the Research Center for the European Enlightenment (1996-1997). Professor te Heesen's research spans multiple interconnected fields including the history of humanities, natural history in the early modern period, museum and exhibition history, organization and notation methods of sciences, and the relationship between science and art. She has a particular interest in how knowledge is formed, organized, and presented through various material and institutional practices. Her work often examines the intersection of academic knowledge production with material culture, focusing on objects, collections, and exhibition practices as sites of knowledge formation. Her recent publications reveal a strong focus on the history of interviews as research methodology, the development of exhibition catalogs as scholarly monographs, and the material history of knowledge practices. The analysis of her 15 most recent articles shows consistent engagement with themes of materiality, the organization of knowledge, and the historical development of scholarly practices, particularly in the humanities. Her work frequently bridges historical analysis with contemporary scholarly concerns about knowledge production and dissemination. Spokesperson of the DFG Centre for Advanced Studies 'Applied Humanities: Genealogy and Politics' (since 2024) Senior Fellow, Collegium Helveticum, Zurich (WS 2023/24) Visiting Scholar, Max Planck Institute for History of Science (since 2021) Dibner Research Fellowship, Huntington Library (2020) Senior Research Fellowship, Lichtenberg Kolleg (2020) Professor te Heesen has held significant leadership roles including Ombudsperson of Humboldt University of Berlin (since April 2024) and Head of the Commission for Studies and Teaching at the Institute of History (since April 2024). She serves on multiple advisory boards including the Scientific Advisory Board of the project 'Serious Donations' at the Museum of Natural History in Berlin (since 2020), the DFG Review Board for History (2020-2024), and the Robert K. Merton Center for Science Studies at Humboldt University (since 2019). She is also a member of the editorial boards of several scholarly journals including Reports on the History of Science and History of Science and Humanities. Her work extends to museum practice and curation, with significant contributions to understanding how universities can leverage their collections to create meaningful educational experiences that connect historical context with contemporary research. She has initiated important publication series including 'Sonderdruck' (since 2016) and 'Minima Literatur- und Wissensgeschichte kleiner Formen' (since 2020).
Michael Pradel is a full professor at the University of Stuttgart, specializing in software engineering, programming languages, and machine learning. He will join CISPA as a faculty member from September 2025 while retaining his Stuttgart position. His research focuses on: Neuro-symbolic software analysis Web application analysis Dynamic analysis and test generation Quantum software testing Machine learning for code Recent publications address: LLM-based program repair (RepairAgent, Treefix) WebAssembly analysis (Wasm-R3, LintQ) Python security and analysis (DyLin, DyPyBench) Quantum program analysis (LintQ) Scientific awards: Ernst-Denert Software Engineering Award Emmy Noether grant (1.3M Euro) ERC Starting Grant (1.5M Euro) 3x ACM SIGSOFT Distinguished Paper Award at FSE ACM Distinguished Member Best Paper/Distinguished Paper Awards at ISSTA, ASE, ASPLOS, MSR Key contributions include: DeepBugs for name-based bug detection Getafix for automated bug fixing LintQ for quantum program analysis DyLin for Python dynamic analysis Neuro-symbolic developer tools
Prof. Dr. Harald Reiterer is a leading researcher in Human-Computer Interaction at the University of Konstanz, where he has served as Professor since 2009. His academic journey includes a Ph.D. (1991) and habilitation (1995) from the University of Vienna, followed by roles including Senior Researcher at Fraunhofer FIT and Associate Professor at Konstanz. He currently holds multiple leadership roles: Dean of the Faculty of Sciences , Senator of Section 1 , and Consulting Dean . Ph.D. in Computer Science (University of Vienna, 1991) Venia Legendi (Habilitation) in HCI (University of Vienna, 1995) His research focuses on: Interaction Design for mixed reality environments Information Visualization in immersive contexts Hybrid User Interfaces combining physical and virtual elements 3D Object Manipulation in handheld AR Behavioral Analytics through mHealth interventions Recent work explores: Avatar representation in Augmented Reality (2024) Node selection efficiency in Virtual Reality (2024) Peripheral vision toolkits for Head-Mounted Displays (2023) Hybrid interface optimization for Mixed Reality (2023) Smartphone AR extensions for Spatial Memory (2023) Key scientific contributions: Landeslehrpreis 2021 for interdisciplinary exhibition design Development of Colibri cross-reality toolkit (2023) Foundational work on Re-locations for remote collaboration (2022) He leads numerous projects including: SMARTACT (Smart Mobility, 2015-2023) SFB TRR 161 (2009-2027) on XR interface measurement Blended Library (2011-2015) for future library design
Prof. Dr. Claudia Neu is a Professor of Rural Sociology at the Department of Agricultural Economics and Rural Development (Georg-August-University Göttingen) and the Department of Rural Sociology (University of Kassel). Her work focuses on demographic change, civil society, and public services in rural areas. Deputy Chair, Expert Council on Rural Development, Federal Ministry of Food, Agriculture, and Consumer Protection (2016–2019) Member, Working Group "More Security with Security?", Hamburg Academy of Sciences (2016–) Scientific Advisory Board, German Volunteer Survey (2012–2016) Commission "Art for the Village - Villages for Art", German Foundation for Cultural Landscapes (2009, 2012) Her research examines how demographic shifts impact rural democracy and social cohesion, emphasizing equitable living conditions and participatory governance. Recent analyses link rural loneliness to populist susceptibility and declining institutional trust. Publications include studies on regional services of public interest and structural policy investments. She contributes to public discourse through media engagements (ARD Audio Library, Frankfurter Allgemeine Zeitung) and policy statements, notably advocating for EU rural development funding independent of agricultural policy. Legal victories highlight her commitment to academic freedom.
Rainer Gemulla is a Professor of Practical Computer Science I: Data Analytics at the University of Mannheim, heading the Data and Web Science Group within the School of Business Informatics and Mathematics. He has been a W3-Professor at the University since 2014, following positions as a senior researcher at Max-Planck-Institut für Informatik (2010-2014) and postdoctoral researcher at IBM Almaden Research Center (2008-2010). His research focuses on machine learning with structured and semi-structured data, particularly knowledge graphs, and developing efficient systems for data-intensive processing. Professor Gemulla's research spans multiple areas including machine learning with structured data (relational data), machine learning with semi-structured data (multi-relational graphs), combining these approaches with unstructured knowledge (text), and developing efficient, scalable methods for data-intensive processing. His work bridges theoretical foundations with practical implementations, as evidenced by numerous open-source software projects including LibKGE, DistKGE, and AdaPM. His recent publications show a strong trend toward knowledge graph embeddings, parameter server architectures, and efficient training methods. The research demonstrates increasing focus on scalability challenges in graph learning, with particular attention to hyperparameter optimization, dynamic resource allocation, and benchmarking methodologies. His work consistently addresses the practical challenges of implementing machine learning systems at scale. Distinguished Reviewer Award at SIGMOD, 2025 Distinguished PC Member Award at EDBT, 2023 Outstanding Reviewer Award at NeurIPS, 2021 Junior-Fellow of the Gesellschaft für Informatik (GI), 2013 IBM's 2011 Pat Goldberg Memorial best paper award Best paper of NIPS 2011 Biglearn workshop Professor Gemulla actively mentors PhD students and has supervised numerous successful doctoral candidates. His leadership extends to administrative roles including Head of examination board for MSc Business Informatics since 2017, and previously serving as Study dean of the WIM faculty (2016-2019) and CIO of University of Mannheim (2022-2024). His research is supported by grants including AWS in Education Research Grant Award (2013) and Google Focused Research Award (2011). The Data and Web Science Group develops multiple open-source software projects including LibKGE (knowledge graph embedding library), DistKGE (multi-GPU training), AdaPM (adaptive parameter manager), Lapse (parameter server), and various tools for information extraction and sequence mining. The group maintains active collaborations with industry partners and academic institutions worldwide, particularly in the areas of knowledge graph research and scalable machine learning systems.
Nuno Santos is an Associate Professor in the Department of Computer Science and Engineering at Instituto Superior Técnico (IST), University of Lisbon, and a senior researcher at INESC-ID Lisbon. He leads the SysSec team, focusing on systems security and privacy. His research spans secure enclaves, network security, and censorship-resistant systems. Education: Ph.D. in Computer Science (2013) from Max Planck Institute for Software Systems (MPI-SWS) in affiliation with Saarland University. Visiting research stints at Vrije Universiteit Amsterdam (2018) and Technical University of Munich (2024). Research Interests: Systems security, privacy, trusted execution environments (TEEs), network security, censorship resistance, AI security, and secure cloud computing. He has pioneered work on mitigating vulnerabilities in TrustZone-based TEEs and enhancing confidential computing. Publications: Over 30+ peer-reviewed articles in top-tier venues like S&P, USENIX Security, CCS, and NDSS. Recent trends focus on AI-driven security (e.g., automated exploit generation, prompt-to-SQL injections) and confidential computing (e.g., AMD SEV-SNP analysis). Awards: IST Outstanding Teaching Award (2019/2020), 2024 Prémio Científico Universidade de Lisboa/Caixa Geral de Depósitos. Advising & Grants: Supervised MSc theses in areas like AI-powered vishing attacks and confidential VMs. Active in conference organization (e.g., USENIX Security’25 Vice Chair, IEEE EuroSP’26 Co-Chair). Labs/Teams: Leads the SysSec team at INESC-ID Lisbon, collaborating on projects like AnyTEE (TEE framework) and FlowLens (network security tool).
Prof. Daniel Große serves as Professor at the Institute for Complex Systems (ICS) within Johannes Kepler University Linz, Austria, while maintaining a dual affiliation with the German Research Center for Artificial Intelligence (DFKI) in Bremen. His research centers on Electronic Design Automation (EDA), specializing in verification, debugging, and synthesis of complex hardware/software systems through advanced virtual prototyping techniques. His primary research domains include Formal Verification , Hardware Verification , and Virtual Prototyping , with significant contributions to RISC-V architecture development and embedded systems validation. Current projects like PaSVer (automotive electronics), AUTOASSERT (analog-digital verification), and VerSys (RISC-V software platforms) demonstrate his focus on bridging simulation and formal methods for safety-critical applications. Recent publications reveal accelerating trends in metamorphic testing for embedded graphics libraries and RISC-V vector extensions, alongside innovations in waveform analysis tools like Surfer. His work increasingly integrates AI-assisted verification while maintaining rigorous formal methods foundations. Prof. Große actively supervises student research, having guided Lucas Klemmer's PhD thesis and nine Bachelor theses on topics ranging from RISC-V processor design to transaction visualization. His projects including SATiSFy (autonomous vehicle security) and CONVERS (complex system design automation) secure substantial research funding from academic and industry partners. He leads the Institute for Complex Systems' development of open-source tools such as RISC-V VP++ and contributes to international standards through program committee roles at DATE, ICCAD, and RISC-V Summit Europe.
Chang Xu is a Professor and Ph.D. supervisor at Nanjing University, affiliated with the State Key Laboratory for Novel Software Technology, School of Computer Science, and Institute of Computer Software (ICS). He has been a full-time faculty member since 2010, when he joined as an associate professor and was later promoted to full professor in 2015. Education: Ph.D. from The Hong Kong University of Science and Technology (HKUST) in 2008 (advisor: Prof. S.C. Cheung) M.Eng. from Institute of Software, Chinese Academy of Sciences (ISCAS) in 2003 B.Eng. from University of Science and Technology of China (USTC) in 2000 Research Interests: Professor Xu's research focuses on big data software engineering, intelligent software testing and analysis, and adaptive and autonomous software systems. His recent work centers on constructing and providing runtime support for intelligent software in open environments, with emphasis on inconsistency detection and resolution for environments, and quality assurance for adaptive, concurrent, learning-based, smartphone-based, and spreadsheet-based applications. His work bridges theoretical foundations with practical applications in software engineering, particularly in program analysis, software testing, and self-adaptive systems. Scientific Awards: ACM SIGSOFT Distinguished Paper Award from ICSE 2025 Best Student Paper Award from EUROSYS 2025 ACM Distinguished Member in 2024 Best Paper Award from SOSP 2023 Best Paper Candidate from ISSRE 2022 Yangtze River Scholar by the Ministry of Education in 2021 Multiple ACM SIGSOFT Distinguished Paper Awards from conferences including ASE, ICSE National Science and Technology Progress Award (Second Class) in 2011 Academic Service and Advising: Professor Xu has served on numerous program committees for top software engineering conferences including ICSE, ASE, ESEC/FSE, and ISSTA. He is an editorial board member for several journals including Journal of Computer Science and Technology and Frontiers of Computer Science. He has supervised numerous Ph.D. and MSc students, with research topics spanning program analysis, software testing, self-adaptive systems, and more. His students have gone on to successful careers in both academia and industry. Research Groups: Professor Xu is associated with the SPAR research group at Nanjing University and the CASTLE research group at HKUST, focusing on software analysis, reliability, and testing.
Professor Stephan A. Sieber is a leading researcher in bioorganic chemistry at the Technical University of Munich (TUM), where he holds the Chair of Organic Chemistry II within the TUM School of Natural Sciences. His research program focuses on developing new drugs against multidrug-resistant bacteria through a multi-disciplinary approach that integrates synthetic chemistry, functional proteomics, microbiology, and protein biochemistry. His laboratory has made significant contributions to identifying unprecedented antibacterial targets beyond the scope of current antibiotics and exploiting these for chemical manipulation. Recent work has increasingly incorporated machine learning approaches to accelerate antibiotic discovery, with notable publications on AI-guided pipelines, drug-target interaction prediction, and high-throughput screening optimization. Sieber's research has resulted in the discovery of new active substances, some of which are currently being optimized for medical applications. His group's publications reveal a strong focus on chemical proteome mining, natural product mode of action studies, and novel antibacterial target identification. The lab has published extensively in top journals including Nature Chemistry, Nature Communications, and ACS Central Science. Inhoffen Medal (2024) Max Bergmann Medal (2023) ERC Advanced Grant (2023) Merck Future Insight Prize (2020) Klaus Grohe Prize (2020) ERC Consolidator Grant (2016) Professor Sieber leads an active research group that maintains a strong presence in the scientific community through regular publications, conference presentations, and collaborations. His laboratory website and BlueSky presence (@sieberlab.bsky.social) demonstrate ongoing research activities and engagement with the broader scientific community. He has successfully secured significant research funding including multiple ERC grants that have supported his innovative work in antibiotic discovery.
Dominique Devriese is a professor at the Department of Computer Science, KU Leuven, and a member of the DistriNet research group. His work bridges computer security, programming languages, and formal verification. Research interests: Functional Programming, Object Capabilities, Secure Compilation, Dependently-typed Programming, Modal Type Theory Teaching: Formal Systems, Object-Oriented Programming, CyberSecurity, Secure Software His research focuses on rigorous software systems security through capability machines and secure compilation techniques. He actively contributes to formal verification using Agda and Haskell, with recent work on multimode type theory and effect parametricity. Key publication trends include: multimode/presheaf type theory, capability-based security models, formal verification of hardware/software abstractions, and parametricity applications in programming languages. Contact: Email: dominique.devriese@kuleuven.be ORCID: 0000-0002-3862-6856
Prof. Dr. Matthias Steinhauser is a faculty member at the Karlsruhe Institute of Technology (KIT), affiliated with the Institute for Theoretical Particle Physics (TTP) since October 2004. His research focuses on precision calculations in particle physics, particularly in Higgs boson production, rare B meson decays, non-relativistic QCD, and multi-loop corrections. Research Interests: Higgs boson production at the LHC Rare B meson decays as probes for physics beyond the Standard Model Non-relativistic QCD and QED Massive and massless form factors Automation of multi-loop calculations Prof. Steinhauser’s recent publications (2025–2024) emphasize next-to-leading and next-to-next-to-leading order QCD corrections for Higgs boson production, B meson mixing, and decay rates. His work includes advanced computational techniques and high-order quantum corrections. Contact Information: Room: 11/11 Phone: +49 (0)721 608 - 47149 Email: Matthias.Steinhauser@kit.edu Office hours: Tuesday 13:30–14:30 and by request
Alex Grimm is a Lecturer at the Institute of Library and Information Science (IBI), part of the Faculty of Philosophy at Humboldt University. His affiliation is listed under the Executive Board of the university. Contactable via ag@stiftung-koenigsheide.de . Research interests are inferred from institutional focus areas including library science, information management, and science studies. He participates in events such as the Barcamp & Annual Conference of the Data Competence Center QUADRIGA and RMZ Jour fixe, indicating engagement with data analytics and rigorous scientific methodologies. No academic awards, publications, or student advisement records are explicitly listed in the provided text. Affiliations include roles within the IBI's organizational structure, though specific lab or team memberships are unmentioned.
Dr. Alba Fedeli is a Researcher and Head of Project RFK06 at the Cluster of Excellence 'Understanding Written Artefacts' (UWA), University of Hamburg. Her work focuses on early Qur’anic manuscripts, combining philological analysis with natural sciences. She leads projects such as What is in a Scribe’s Mind and Inkwell (2023–2025) examining the Gotha Collection, and InterSaME (2020–2023) exploring oral-written transmission of Middle Eastern sacred traditions. Her research spans palimpsest studies, material analysis of manuscripts, and digital humanities. Notable outputs include studies on Qur’anic codicology, authentication methods, and interdisciplinary methodologies. Dr. Fedeli collaborates internationally with institutions like the Vatican Library and the Gotha Research Library, contributing to global efforts in cultural heritage preservation. Her academic contributions include 14 publications across peer-reviewed chapters, journal articles, and digital platforms. She actively participates in workshops, conferences, and public engagement through blogs like the Forschungsbibliothek Gotha to disseminate research findings.
