Dr. Sven Burger is a leading Researcher at the Zuse Institute Berlin (ZIB) within the Modeling and Simulation of Complex Processes department. His work focuses on Nanophotonics , Quantum Technologies , and Optical Resonance Computation , particularly in photonic crystals, plasmonic systems, and quantum light sources. Key projects: NanoLab GRIPS 2024 , MATH+ TES QT , MATH+ PaA-1 (perovskite solar cells), Colour Impression of Solar Cells Collaborations: MATH+ , BIFOLD , Research Campus MODAL His research spans Bayesian optimization for quantum systems, quasinormal mode expansions , chiral plasmonics , and terawatt-scale photovoltaics . Recent work emphasizes RPExpand software for resonance analysis and AAA algorithm applications in photonic design. He contributes to quantum key distribution via plug&play single-photon sources, hot carrier dynamics in plasmonic nanocrystals, and high-efficiency light extraction for deep-UV LEDs. His computational methods address non-Hermitian systems , exceptional points , and self-interference nanoparticle tracking .
Massimiliano Pontil is a Professor at University College London's Department of Computer Science within the Faculty of Mathematical & Physical Sciences, with additional affiliation at the Italian Institute of Technology in Genoa. He leads cutting-edge research at the intersection of machine learning and dynamical systems theory. His research focuses on developing theoretical frameworks for learning transfer operators of stochastic dynamical systems using kernel methods. Pontil's work provides rigorous spectral learning bounds and addresses representation learning challenges in modeling time-evolving phenomena. His research spans both theoretical foundations and practical applications in data-driven science and engineering. Pontil's recent publications reveal a strong emphasis on Koopman operator theory, with particular attention to spectral analysis, error bounds, and efficient algorithms for large-scale dynamical systems. His work connects kernel methods with dynamical systems theory to create mathematically grounded approaches for forecasting and understanding temporal phenomena. His scientific contributions include multiple publications in top-tier venues including NeurIPS and ICLR, with recent work on invariant representations, long-term forecasting, and randomized algorithms for operator regression. Pontil collaborates extensively with researchers including Vladimir Kostic, Karim Lounici, and Pietro Novelli, leading a productive research group in this specialized area of machine learning theory.
Eugénia da Conceição-Heldt is Professor and Chair of European and Global Governance at the Technical University of Munich's School of Social Sciences and Technology, a position she has held since July 2016. She previously served as reform rector of the Hochschule für Politik München and founding dean of the TUM School of Governance from 2016 to 2021, and held the chair of International Politics at TU Dresden from 2012 to 2016. Her academic career includes appointments as assistant professor at Humboldt-Universität zu Berlin and guest professor at Freie Universität Berlin, along with prestigious fellowships at Harvard University, the European University Institute, the Social Science Research Center Berlin, and Princeton University. Her educational background includes: PhD in Political Science from Freie Universität Berlin Habilitation at Humboldt-Universität zu Berlin Professor da Conceição-Heldt's research focuses on the delegation of power to international organizations, European integration processes, global economic governance structures, two-level games in international negotiations, accountability mechanisms in the digital age, and the impact of technological disruptions on political systems. Her work bridges theoretical frameworks with empirical analysis of contemporary governance challenges, particularly examining how institutions adapt to crises and technological change while maintaining democratic legitimacy. Her recent publications demonstrate a consistent focus on institutional adaptation in global governance, with particular attention to the European Union's institutional dynamics, international financial architecture, and the temporal dimensions of political decision-making. Her scholarship reveals how international and European institutions navigate tensions between independence and accountability, effectiveness and legitimacy, particularly during periods of disruption. Her distinguished career has been recognized with numerous prestigious awards: TUM IAS Carl von Linde Fellowship (2022) Visiting Research Scholar at Princeton University (2022) Medal for Outstanding Contributions to the Free State of Bavaria (2019) Fulbright Fellowship at Harvard University (2015) European Research Council Consolidator Grant (2012) Heisenberg Fellowship from the German Science Foundation (2010) As an active researcher and academic leader, Professor da Conceição-Heldt has secured significant research funding including a €1.3 million ERC Consolidator Grant. Her scholarly contributions include over 40 peer-reviewed journal articles published in leading outlets such as the Journal of Common Market Studies, Journal of European Public Policy, and Review of International Political Economy, along with four monographs and multiple edited volumes. Her work bridges theoretical innovation with practical policy relevance in the fields of European and global governance.
Nathanaël Fijalkow is a Researcher at CNRS in LaBRI (Bordeaux) and a Research Fellow at The Alan Turing Institute in London. His primary research fields include games , machine learning , automata theory , and dynamical systems , with a focus on synthesizing programs from logical specifications and probabilistic models. Research Interests span program synthesis (programming by example), controller synthesis (temporal logic specifications), games on graphs (parity/mean payoff games), probabilistic automata (bounded ambiguity), and invariants for linear dynamical systems. He bridges formal methods with machine learning through projects like DeepSynth . Scientific Contributions include: Undecidability results for probabilistic automata Advances in parity game algorithms (quasi-polynomial lower bounds) Foundations of probabilistic modal logics Efficient synthesis techniques using SMT solvers and distributional learning Supervision involves guiding postdocs and PhD students such as Guillaume Lagarde, Antonio Casares, and Pierre Ohlmann. He has secured grants like the Momentum DeepSynth project (2019-2021) , aiming to merge formal methods with ML for program synthesis.
Dieter A. Fensel is a Full Professor at the Institute of Computer Science, Faculty of Computer Science, University of Innsbruck, Austria . He has held academic positions at the University of Karlsruhe, Vrije Universiteit Amsterdam, and the University of Amsterdam. He founded the Digital Enterprise Research Institute (DERI) in Galway and Innsbruck and co-founded the Semantic Technology Institute International (STI2). His work spans semantic technologies, knowledge engineering, and intelligent systems. PhD in Political Science, University of Karlsruhe (1993) Habilitation in Applied Computer Science, University of Karlsruhe (1998) Masters in Computer Science (TU Berlin) and Social Science (FU Berlin) His research interests focus on the Semantic Web, ontologies, knowledge representation, web services, and intelligent systems. He investigates how semantics can enhance data interoperability, service composition, and knowledge sharing in distributed environments. His work bridges formal methods with practical applications in e-commerce, tourism, and digital enterprises. He emphasizes the role of semantics in enabling machine-understandable content and automated reasoning across domains. The research trends in his publications and projects reveal a consistent focus on semantic technologies, from foundational work on knowledge representation (e.g., KARL language) to large-scale EU projects on data ecosystems (PlanetData, BYTE), travel (EuTravel), and energy (ENTROPY). His work evolved from theoretical AI and knowledge engineering to applied semantic web services, linked data, and digital innovation in societal domains. His scientific awards include: Carl-Adam-Petri-Award of the Faculty of Economic Sciences, University of Karlsruhe (2000) As an academic advisor, Dieter Fensel has supervised over 25 PhD students and served on numerous Master’s and PhD committees. He has led more than 100 national and international research projects with total funding in the hundreds of millions of euros, including major grants from the EU’s 7th Framework Program, Horizon 2020, and Science Foundation Ireland. These projects span domains such as big data, ambient assisted living, transportation, and digital services. He co-founded and led several research labs and teams , including: Digital Enterprise Research Institute (DERI), Galway and Innsbruck Semantic Technology Institute (STI) Innsbruck Semantic Technology Institute International (STI2) Co-founder of the European Semantic Web Conference (ESWC) and International Semantic Web Conference (ISWC) These organizations foster global collaboration in semantic technologies and have become central hubs for research, innovation, and community building in the field.
Professor Dr. Ursula Gaedke is a leading academic at the University of Potsdam, where she heads the research group Ecology and Ecosystem Modelling within the Institute of Biochemistry and Biology. Her work integrates field observations, laboratory experiments, and mathematical modeling to advance ecological theory and address pressing environmental issues such as biodiversity loss and ecosystem resilience. Her research focuses on plankton communities and food web dynamics, with a strong emphasis on trait-based approaches and seasonal patterns in natural systems like Lake Constance. She leads the DFG Priority Programme DynaTrait and is involved in the DFG Research Training Group BioMove, emphasizing individual-based and adaptive ecological modeling. The recent publications of her group reveal a consistent trend toward understanding how trait dynamics, trade-offs, and trophic interactions shape community stability and biodiversity. Her work increasingly bridges empirical data with theoretical models, especially in the context of seasonal shifts, self-organized pattern formation, and multitrophic interactions. The research spans from microbial plankton to complex food webs, often using long-term datasets and advanced analytical techniques. She supervises a dynamic team of PhD and master’s students, including Lilla Zsuzsanna Kiss, Louica Philipp, Catalina Rios Henriques, Julia Pawlak, and Edvin Löthgren. Former students like Dr. Elias Ehrlich have continued successful research careers. Her leadership in large collaborative projects underscores her central role in theoretical and quantitative ecology in Germany. Prof. Gaedke has been instrumental in building one of the largest theoretical ecology groups in Germany, combining empirical rigor with innovative modeling to explore how ecosystems respond to environmental change.
Benjamin Suger is a researcher in the Department of Computer Science at the University of Freiburg, affiliated with the Autonomous Intelligent Systems group within the Faculty of Engineering. His work centers on robotics and intelligent systems, particularly in autonomous navigation and environment modeling. Diploma in Mathematics, University of Freiburg (2003–2011) PhD Student, Autonomous Intelligent Systems Group, University of Freiburg (2011–2017) His research interests include traversability analysis, SLAM, 3D modeling, and mobile robotics. He applies machine learning and computer vision techniques to enable robust robot navigation in complex and dynamic environments. His work often integrates sensor data from 3D lidar and visual systems to improve perception and localization. The recent publications highlight a strong focus on long-term autonomy, outdoor navigation, and memory-efficient SLAM algorithms. Key themes include handling perceptual changes, terrain adaptability, and integration of open geospatial data like OpenStreetMap. His work bridges theoretical algorithm development with real-world robotic applications. Scientific recognition includes being a finalist for the Best Conference Paper Award. This reflects the impact and quality of his contributions to the robotics community. Best Conference Paper Award Finalist Benjamin Suger has contributed significantly to research projects such as LifeNav and has served as a teaching assistant for the Introduction to Mobile Robotics course. While no direct advising of students is listed, his collaborative work with prominent researchers like Wolfram Burgard indicates active participation in a larger academic and research team. He has not received external grant mentions in the provided text. He is part of the Autonomous Intelligent Systems lab at the University of Freiburg, a leading group in robotics research, where he contributes to advancing the state of the art in autonomous navigation and environmental understanding for mobile robots.
Andreas Thor is affiliated with the University of Applied Sciences for Telecommunications Leipzig, Germany. He has been actively publishing in computer science since 2004, with a focus on database systems, data integration, bibliometrics, and educational technology. His research spans several domains, including database systems, entity resolution, ontology matching, and more recently, e-assessment and digital learning tools. He has made significant contributions to bibliometrics through the development and application of CRExplorer for Reference Publication Year Spectroscopy (RPYS). His work also includes the design of educational tools like DMT and FeeDI for automated assessment in higher education. The recent articles (2021–2023) reflect a strong trend toward educational technology, particularly in the development of tools for e-assessment, Jupyter Notebook integration, and knowledge graphs for learning. Earlier works (2004–2012) focus on core database research such as entity resolution, data fusion, and MapReduce-based systems. The publications collectively demonstrate a transition from foundational database research to applied educational informatics. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: No information is available regarding students advised or grants received. However, his extensive publication record and leadership in workshop proceedings (e.g., GI-Workshop Grundlagen von Datenbanken) suggest involvement in academic mentoring and collaborative research initiatives. Labs and Teams: Andreas Thor has collaborated extensively with researchers at the University of Leipzig, particularly with Erhard Rahm, Toralf Kirsten, and Stefanie Scherzinger. His work on bibliometrics involves collaboration with Lutz Bornmann, Loet Leydesdorff, and Robin Haunschild. These collaborations indicate participation in research groups focused on data management and scientometrics.
Andreas Strohmayer is a Professor and Managing Director of the Institute of Aircraft Design at the University of Stuttgart, leading research in aircraft design, electric/hybrid propulsion, and lightweight construction. His work focuses on sustainable aviation solutions, including electric aerotow systems, hydrogen tank integration, and hybrid-electric regional aircraft. He previously held senior industry roles at Grob-Werke, Sky Aircraft, and SST Flugtechnik before joining academia in 2015. Education & Career: 1989–1995: Studied Aerospace Engineering at TU Munich 1995–2002: Research Assistant at TU Munich's Aerospace Chair 2002–2009: Managing Director of Grob Aerospace GmbH 2009–2013: Deputy Director at Sky Aircraft (Metz) 2013–2015: Vice President at SST Flugtechnik GmbH 2015–Present: Full Professor at University of Stuttgart Research Focus: Electric and hybrid-electric propulsion systems Lightweight structural design and simulation Flight testing of demonstrators like the e-Genius-Mod Hydrogen storage integration in aircraft fuselages Aerodynamic optimization and wing tip propulsion Open-source tools for aircraft design (SUAVE) Recent Projects: Development of the e-Genius-Mod for electric aerotow and autonomous flight Hydrogen tank modeling for zero-emission aviation FUTPRINT50 initiative for 50-seat regional aircraft sustainability Investigation of distributed electric propulsion systems Academic Contributions: Over 50 peer-reviewed publications since 2015 Active in industry-academia collaborations (EASN, European projects) Supervisor of numerous master's and Ph.D. students Teaching courses on aircraft design and propulsion systems
Prof. Dr. Jörg Ewald is a Research Professor in the Faculty of Forestry and Agriculture at the Technical University of Applied Sciences Weihenstephan-Triesdorf. He leads the Research Professorship on Diversity and Functions of Mountain Ecosystems and holds key leadership roles as Dean of the Faculty and Scientific Director of the Doctoral Center Sustainable Land Use Systems (SusLand). He is also a member of the steering committee for the BayWISS Joint College Life Sciences and Green Technologies. His research is centered on botany, vegetation science, and mountain ecosystems , with a strong emphasis on the impacts of climate change, land-use dynamics, and conservation in alpine and forest environments. His work spans plant ecology, biodiversity assessment, soil ecology (particularly Tangelhumus), and forest site evaluation. He teaches courses such as General Botany, Systematic Botany, Forest Communities, and Climate Change Management. His recent publications reveal a consistent focus on long-term ecological monitoring, species distribution shifts in response to warming, and the effects of land use on biodiversity across trophic levels. He employs methods like NMDS ordination, cluster analysis, metabarcoding, and GIS-based modeling. His work often involves large collaborative networks across Germany and integrates citizen science data with historical records. Prof. Ewald is actively involved in applied research for sustainable forest management and conservation policy, contributing to projects like StratALP for assessing forest degradation sensitivity. His leadership in doctoral education and interdisciplinary research initiatives underscores his central role in advancing sustainable land use science.
Philipp Mayr-Schlegel is a Professor at the University of Göttingen’s Institute of Computer Science, leading the team 'Information & Data Retrieval' at GESIS - Leibniz-Institute for the Social Sciences. His research focuses on interactive information retrieval systems, scholarly recommendation mechanisms, and the integration of bibliometric methods with digital library technologies. University of Göttingen - Institute of Computer Science GESIS - Leibniz-Institute for the Social Sciences His work spans information retrieval , digital libraries , and applied informetrics , with particular emphasis on: Interactive search systems Non-textual ranking algorithms Scholarly document processing Knowledge representation Semantic search technologies User behavior analysis Recent research outputs (2025) include studies on LLMs for scholarly search, bibliometric reproducibility tools, scientific uncertainty annotation, and preprint adoption disparities. He has published extensively in Scientometrics , International Journal on Digital Libraries , and top conference proceedings like ACL and ECIR . As organizer of the International Workshop on Bibliometric-enhanced Information Retrieval (BIR) and Scholarly Document Processing (SDP) series, he has shaped academic discourse through editorial roles at ISSI , JCDL , and SocInfo conferences. His projects have attracted significant national and European funding.
Eric Leclercq is a researcher at the University of Burgundy, affiliated with the LE2I Lab in Dijon, France. His work spans database systems, social network analysis, and biomedical data integration. He has contributed extensively to polystore systems, tensor decompositions, and category theory applications in data modeling. Fields of Interest : Database Systems, Data Mining, Social Network Analysis, Big Data Analytics, Semantic Web Leclercq's recent research focuses on formal frameworks for data lakes using category theory, multi-level tensor decomposition for social network stratification, and schema migration in multi-model systems. He has published in venues like CAiSE, IDEAS, and RCIS. His collaborations include Annabelle Gillet, Marinette Savonnet, and Nadine Cullot. Notable works include Lambda+ architecture for data processing, polarization analysis in social networks, and tools for tweet collection and biomedical data integration.
Mario Baldi is a researcher affiliated with the Polytechnic University of Turin, Italy , with significant contributions to computer networking , distributed systems , and software-defined networking . Key research themes: network function virtualization , programmable dataplanes , time-driven scheduling , and traffic analysis . Recent work focuses on RDMA-enabled compute offloading (2023) and DNN inference in network data planes (2023). Longstanding expertise in multicast routing , voice/data packet efficiency , and XML-based protocol parsing (2000–2006). Collaboration network includes Yoram Ofek , Fulvio Risso , and Han Hee Song , with 99+ publications spanning 1994–2023.
Yubao Liu is a Professor at Sun Yat-sen University's School of Data and Computer Science, Department of Computer Science, with a prolific research career spanning over two decades in computer science. His work demonstrates significant contributions to database systems, data mining, and spatio-temporal analysis. Professor Liu's research interests focus on Data Mining , Database Systems , Traffic Flow Prediction , and Graph Neural Networks . His recent work has concentrated on developing advanced techniques for large-scale traffic flow prediction, crowd flow analysis, and spatio-temporal modeling using deep learning approaches. His research bridges theoretical computer science with practical applications in transportation systems and urban computing. Liu's publication record shows consistent high-impact contributions, with recent work emphasizing graph-based neural network architectures for traffic forecasting problems. His research demonstrates a clear evolution from foundational database work to cutting-edge applications of deep learning in transportation and social network analysis. Professor Liu has collaborated extensively with researchers including Weiyang Kong, Kaiqi Wu, Sen Zhang, Genan Dai, and Youming Ge, indicating a strong research group focused on spatio-temporal data analysis and deep learning applications. His academic advising is evident through publications where his students appear as first authors, suggesting an active mentorship role in training the next generation of computer scientists specializing in data-intensive applications.
Abdelkader Hameurlain is an active academic researcher specializing in database systems, data management, and cloud computing with a prolific publication record spanning over three decades (1990-2025). He has authored or co-authored more than 170 publications and serves as an editor for the prestigious 'Transactions on Large-Scale Data- and Knowledge-Centered Systems' series published by Springer as part of the Lecture Notes in Computer Science. His research interests focus on database systems, data management, cloud computing, query optimization, data replication, and big data analytics. Hameurlain has made significant contributions to multi-tenant database management systems, SLA-aware query optimization, data replication strategies in cloud environments, and knowledge-based systems. His work bridges theoretical foundations with practical applications in large-scale data processing environments. Analysis of his recent publications (2021-2025) reveals a continued focus on cloud database performance optimization, with particular emphasis on multi-tenant systems, SLA compliance, and cost-effective resource allocation. His research demonstrates a consistent trajectory from traditional database systems toward cloud-native and distributed data management solutions, reflecting the evolving landscape of data-intensive computing. Hameurlain has established long-term collaborations with prominent researchers including Franck Morvan (63 joint publications), Roland R. Wagner (50 joint publications), Josef Küng (40 joint publications), and A Min Tjoa (26 joint publications), indicating his central position in the database research community. As an editor of the Transactions on Large-Scale Data- and Knowledge-Centered Systems series, he has played a significant role in shaping research directions in data management through numerous special issues covering database technologies, big data analytics, cloud computing, and knowledge systems. His editorial work spans multiple volumes from TLS-DCS XIII (2014) through TLS-DCS LVI (2024), demonstrating sustained leadership in the field.
