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Thomas HöferView profile

Professor

• Theoretical Systems Biology
• Mathematical Biology
• Cancer Modeling
• +4 more

Thomas Höfer serves as Professor of Theoretical Systems Biology (W3) at Heidelberg University's Faculty of Biosciences and heads the Theoretical Systems Biology Division at the German Cancer Research Center (DKFZ). His work bridges mathematical modeling with experimental biology to decipher complex cellular processes. His research focuses on theoretical systems biology with emphasis on cancer evolution , hematopoietic stem cell dynamics , immune cell regulation , and transcriptional control mechanisms . Höfer's group develops quantitative frameworks to understand spatio-temporal organization in cellular signaling, particularly in glioblastoma progression, T-cell differentiation, and DNA repair processes. Analysis of his recent publications reveals a strong trend toward single-cell resolution modeling integrated with high-throughput experimental data , particularly in cancer heterogeneity and immune responses. His work frequently employs stochastic modeling and multi-scale approaches connecting molecular events to cellular phenotypes. Awards and recognitions include: Reinhart Heinrich Lecture (2011) Landahl Award from Society for Mathematical Biology (1994) Jowett Senior Scholar at Balliol College Oxford (1994-1996) Visiting professorship at École Normale Supérieur (2019/2020) Höfer coordinates major research consortia including the ERA CoSysMed OPTIMIZE-NB project optimizing neuroblastoma therapies and previously led the E:Bio ImmunoQuant consortium. His division at DKFZ collaborates extensively with experimental groups at BioQuant Center and within the CellNetworks Cluster of Excellence. He serves on editorial boards for Cell Systems and European Journal of Immunology , reflecting his interdisciplinary impact across computational biology and immunology.

Ursula KlingmüllerView profile

Professor

• Systems Biology
• Signal Transduction
• Molecular Biology
• +5 more

Prof. Dr. Ursula Klingmüller is a Professor at Ruprecht-Karls-Universität Heidelberg and Head of the Division Systems Biology of Signal Transduction (B200) at the German Cancer Research Center (DKFZ) in Heidelberg since 2007. She holds a Venia Legendi in Cell Biology (Heidelberg University, 2004) and Molecular Biology & Genetics (University of Freiburg, 2000). Her career spans leadership roles in systems biology, integrating computational and experimental approaches to understand cellular signaling networks in cancer and other diseases. Education: Diploma in Molecular Biology, Cell Biology, and Virology (University of Heidelberg, 1988) Bachelor of Science (University of Bayreuth, 1985) Doctoral Thesis in Molecular Biology (Heidelberg University, 1992) Research Interests focus on systems biology approaches to signal transduction, particularly the JAK2/STAT5, AKT/ERK, and TGF-β pathways, their roles in cell proliferation, cancer invasion, and dynamic threshold regulation. Her work emphasizes computational modeling of signaling networks and their integration with clinical applications in precision medicine. Key Scientific Contributions include elucidating the context-specific dynamics of ERK phosphorylation, defining the regulatory roles of BAMBI in TGF-β signaling, and advancing personalized dose prediction models for erythropoietin therapies. Her publications reflect interdisciplinary research bridging molecular mechanisms with quantitative modeling. Scientific Awards: FEBS Anniversary Prize (1997) DAAD-Fellowship (1986) DFG-Research Fellowship (1993-1994) Election to the German Ethics Council (2016) Labs & Teams include the Systems Biology of Signal Transduction division at DKFZ, collaborations with the German Cancer Research Center, and leadership in the Master Program Molecular Biosciences at Heidelberg University. She also serves on editorial boards, including as Associate Editor for Nature Systems Biology and Applications , and chairs the Executive Women's Initiative at DKFZ.

• Robotics
• Human-Robot Interaction (HRI)
• Artificial Intelligence
• +3 more

Marc Hanheide is a Professor of Intelligent Robotics and Interactive Systems at the University of Lincoln 's School of Computer Science. With a career spanning EU projects like VAMPIRE, COGNIRON, CogX, and STRANDS, his work focuses on long-term robotic behavior, human-robot spatial interaction, and cognitive system architectures. He has secured over 12 major grants from organizations including EPSRC, BBSRC, and the European Commission. Key Research Areas : Autonomous robotics, HRI, AI, cognitive systems, agricultural robotics Current Projects : STRANDS (long-term behavior), AgriFoRwArdS (robotics training), NCNR (nuclear robotics) Major Contributions : Human-aware navigation modules, topology optimization for robot fleets, causal analysis frameworks Scientific Awards: While no specific awards are listed, his numerous EPSRC grants and leadership in multi-institutional projects highlight his impact. He has over 172 publications and collaborates with institutions like CoR-Lab and CITEC.

• Computer Science
• Networking Systems
• Software Engineering
• +5 more

Xin Wang is a Professor at Fudan University's School of Computer Science, specifically within the Department of Communication Science and Engineering and affiliated with the State Key Laboratory of ASIC and System in Shanghai, China. With 185 publications spanning two decades (2003-2025), Wang maintains an exceptionally active research profile, particularly evident in recent high-output years including 22 publications in 2019, 19 in 2021, and 13 in 2024. The research portfolio demonstrates deep collaboration networks, most notably with Yang Chen (45 co-authored papers), Yangfan Zhou, and Qingyuan Gong. Wang's research spans multiple critical areas in computer science, with significant contributions to networking systems (particularly CDN optimization, HTTP/3 implementation, and IPv6 infrastructure), software engineering (focusing on work rhythms, testing methodologies, and GUI analysis), mobile applications (including healthcare implementations and accessibility features), and security (especially account security and fraud detection in e-commerce). The interdisciplinary nature of the work is evident through applications in healthcare, e-commerce, campus safety, and IoT systems. Analysis of recent publications (2023-2025) reveals a strong trend toward practical system implementations addressing real-world challenges. The research demonstrates a consistent pattern of moving from theoretical foundations to deployable solutions, with particular emphasis on optimizing performance in networking systems, enhancing security in digital platforms, and improving user experience across diverse application domains. The work frequently incorporates machine learning techniques to solve complex system problems while maintaining practical applicability. While specific grant information isn't detailed in the publication records, the extensive collaboration network spanning multiple institutions in China and internationally suggests substantial research funding support. The consistent publication output across top venues including IEEE/ACM Transactions, INFOCOM, SIGCOMM, and ICSE indicates sustained research productivity and impact.

Wolfgang StammerView profile

Researcher

• Explainable AI
• Neuro-Symbolic Architectures
• Concept Learning
• +3 more

Wolfgang Stammer is a PostDoc researcher in the Machine Learning Group at TU Darmstadt's Computer Science Department. His work focuses on making AI models more interpretable and interactive, particularly in explainable AI (XAI), neuro-symbolic architectures, and systematic compositionality challenges in neural networks. He completed his Ph.D. in Machine Learning at TU Darmstadt (2019–2025), an M.Sc. in Computer Science at Goethe University Frankfurt (2016–2018), and a B.Sc. in Cognitive Science at the University of Osnabrück (2011–2015). Research Interests : Stammer's research bridges gaps between human understanding and AI capabilities. Key areas include: Explainable AI (XAI) and interactive machine learning (XIL) Neuro-symbolic integration for logical reasoning and visual concepts Mitigating shortcut learning and confounding factors in datasets Concept discovery and program synthesis for interpretable models Publications : His work spans foundational contributions to AI benchmarks (e.g., V-LoL, SLR-Bench) and frameworks (Neural Concept Binder, Revision Transformers). Recent studies highlight AI's limitations in systematic generalization and propose solutions for aligning reinforcement learning agents with human values. Grants & Labs : He contributes to the Machine Learning Lab at TU Darmstadt and co-organized workshops like the Interactive Machine Learning Workshop @ AAAI 2022. His research bridges theoretical advances with practical applications in healthcare and ethical AI systems.

Óscar Andrey Herrera SanchoView profile

Professor

• Quantum Optics
• Quantum Biology
• Quantum Metrology
• +7 more

Óscar Andrey Herrera Sancho is a Full Professor at the University of Costa Rica and a researcher at the Atomic, Nuclear and Molecular Sciences Research Center. He holds a PhD in Physics from Leibniz University Hannover and has held roles including Head of the Physical Metrology Department at the National Metrology Institute of Costa Rica. His research spans Quantum Optics, Quantum Biology, Surface Physics, and Educational Physics, with interdisciplinary work in art conservation, biophysics, and cultural heritage science. Education: Postdoc Fellowship, Institute for Quantum Optics and Quantum Information, University of Innsbruck (2016) PhD in Physics, Leibniz University Hannover (2012) M.Sc. in Physics, University of Costa Rica (2008) B.Sc. in Physics, University of Costa Rica (2003) Research Interests: His work bridges quantum physics with cultural heritage preservation, including material analysis of historical artifacts, fungal biodeterioration studies, and pedagogical innovations linking literature and science. He also investigates surface physics phenomena relevant to astrophysical ice transitions and quantum gas systems. Scientific Awards: Alexander von Humboldt Foundation Fellow Advising & Grants: While specific grants are not listed, his extensive co-authorship network and leadership roles indicate active collaboration in interdisciplinary research. His work on cultural heritage has involved student teams in material analysis and software development for artifact preservation. Labs & Teams: Leads the Spatially Resolved Ultracold Rydberg Physics group at the 5th Institute of Physics, focusing on quantum systems and their applications in precision measurement and cultural heritage science.

• Digital Humanities
• Sociology of Religion
• Religion and Migration
• +1 more

Frederik Elwert is an Associate Professor at the Centre for Religious Studies (CERES) at Ruhr-Universität Bochum. He leads the Digitization of Gandharic Artifacts (DiGA) project and subprojects within the Collaborative Research Center (SFB 1475) 'Metaphors of Religion.' His research focuses on Digital Humanities, Sociology of Religion, Religion and Migration, and Network Research. Elwert earned his doctorate in Religious Studies from Leipzig University in 2014, analyzing religion's role in the integration of Russian-German emigrants. He has coordinated numerous projects in Digital Humanities, including developing computational methods for religious text analysis and metadata infrastructure for cultural heritage digitization. His work bridges interdisciplinary approaches, combining social network analysis with semantic methodologies to explore religious discourse and metaphor use. Elwert’s recent articles emphasize computational tools, metaphor analysis, and the digital preservation of religious artifacts. He actively contributes to academic discussions through editorships and collaborative frameworks like the Pelagios Working Group. His current roles include coordinating CERES’s Digital Humanities Initiative and teaching religious studies at the university.

Andrea BeckView profile

Professor

• Numerical Methods
• Computational Fluid Dynamics (CFD)
• Fluid Mechanics
• +7 more

Prof. Dr.-Ing. Andrea Beck is a faculty member and Managing Director of the Institute of Aerodynamics and Gas Dynamics (IAG) at the University of Stuttgart. She leads the Numerical Methods in Fluid Mechanics working group, focusing on high-precision numerical methods for supercomputers, particularly discontinuous Galerkin (DG) methods. Her research spans fluid mechanics, aeroacoustics, plasma physics, and multiphase flows, with applications in wind energy, helicopter systems, and environmental aerodynamics. Role: Professor and Managing Director, IAG Committees: Member of the DFG Review Board, Strategy Committee for National HPC, and steering committee of High Performance Center Stuttgart. Her research emphasizes high-order methods, turbulence modeling, and data-driven approaches. She teaches courses such as 'Numerical Methods in Fluid Mechanics' and 'CFD Programming Projects', and has developed open-source software like FLEXI and HOPR for high-performance computing. Recent articles highlight advancements in entropy-stable DG methods, turbulence simulation using graph neural networks, and multiphase flow modeling. Her work integrates machine learning with CFD to enhance simulation accuracy and efficiency.

Ferdinand HeimerlView profile

Academic

• Roman Provincial Archaeology
• Late Roman Military Fortifications
• Ceramic Analysis
• +5 more

Jun.-Prof. Dr. Ferdinand Heimerl is a Junior Professor for Roman Provincial Archaeology at the University of Trier's Faculty III. His research focuses on Roman military fortifications, ceramic analysis, and archaeological heritage communication. He has held roles including Deputy Director of FoRuM and ERASMUS Coordinator for Archaeology. He has conducted excavations in Augsburg, Bitburg, and Trier, and served at institutions like the Rheinisches Landesmuseum Trier. Education: MA (2014, LMU Munich), PhD (2019, LMU Munich). Affiliations: Member of Rei Cretariae Romanae Fautores, Computer-Anwendungen und Quantitative Methoden in der Archäologie, and Association ATEG. His research interests span Late Roman military structures, geoarchaeology, and economic history. Key publications include studies on Bitburg's fortifications and North African ceramics from Augsburg. He has received awards like the Eduard-Anthes-Preis (2021) and the Dr.-Heinz-Cüppers-Preis (2024). Teaching includes courses on Roman provincial archaeology, digital archaeology, and underwater archaeology in collaboration with peers like Dr. Max Fiederling. He advises PhD students on topics like Dark Earth in Bitburg and Roman logistics in Luxembourg. He leads projects such as TRANSMARE and directs the Archäologiepark Belginum's scientific board. Active in heritage communication, he developed archaeological trails and smartphone apps for public engagement.

Felecia DavisView profile

Associate Professor

• Computational Textiles
• Responsive Architecture
• Digital Fabrication
• +3 more

Felecia Davis is an Associate Professor of Architecture at Stuckeman School, Penn State University , where she leads the SOFTLAB research group. Her work bridges architecture, computational design, and textile technology, exploring how responsive materials can transform spatial experiences. She is also a co-founder of the Black Reconstruction Collective , a non-profit supporting Black diaspora design work. Ph.D. in Design and Computation from MIT Master of Architecture from Princeton University B.S. in Engineering from Tufts University Davis investigates the intersection of computational textiles , responsive architecture , and Black spatial practices . Her research includes thermoresponsive knitted structures, emotion-sensing textiles, and mycelium-based architectural composites. She examines how materials can embody cultural narratives and environmental adaptability. Her 15 most recent publications (2012-2024) focus on topics like knitted tension structures, biohybrid materials, dreadlock-inspired architecture, and electromagnetic urbanism. These works span disciplines including architecture , material science , and cultural studies , with subfields like soft robotics , haptic interfaces , and sustainable fabrication . 2023 Bogliasco Foundation Architecture Fellow 2022 Cooper Hewitt Smithsonian Design Museum Digital Design Awardee 2022 Architectural League Emerging Voices Winner 2021 MoMA Reconstructions Exhibition Contributor 2013-2012 Multiple MIT research awards Davis has advised students in projects like MycoKnit and Phototropic Fiber Composites , and led design studios at Princeton , Cooper Union , and Cornell . Her SOFTLAB pioneers textile-based architectural systems, while her forthcoming book Softbuilt: Networked Architectural Textiles (2025) synthesizes her material research.

• Mathematical Data Science
• Machine Learning
• Compressed Sensing
• +5 more

Johannes Maly is an Assistant Professor at the Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at LMU Munich. He previously held postdoctoral positions at Catholic University of Eichstaett-Ingolstadt and RWTH Aachen University, and completed his PhD at TUM Munich under Prof. Massimo Fornasier. PhD in Mathematics (2019, TUM Munich) M.Sc. in Mathematics (2015, TUM Munich) B.Sc. in Mathematics (2013, TUM Munich) His research focuses on mathematical data science and machine learning, specifically addressing: Robust covariance estimation under quantization Neural network approximation properties Implicit bias in gradient descent training Multi-structured signal recovery Quantization effects in deep learning and compressed sensing His recent publications analyze dithered quantization in covariance estimation, implicit regularization in overparameterized models, and multi-structured data recovery. He applies mathematical rigor to practical challenges in wireless communications (e.g., MIMO systems) and neural network training. Scientific recognition includes: relAI Fellow MCML Associate He supervises code/toolbox development for reproducibility and teaches graduate courses in convex optimization, high-dimensional probability, and mathematical data science. His work bridges theoretical mathematics and applied signal processing.

• Cybersecurity
• Privacy
• Industrial Networks
• +7 more

Martin Henze is a tenure-track Assistant Professor at RWTH Aachen University's Department of Computer Science, where he leads the Security and Privacy in Industrial Cooperation (SPICe) research group. Additionally, he co-leads the Secure Production & Energy Networks research group at the Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE in Bonn, Germany. His work bridges academic research with practical industrial security applications, focusing on critical infrastructure protection. Dr. Henze's research interests center on technical security and privacy aspects of industrial networks and data sharing, with special emphasis on energy and production sectors. His work spans industrial intrusion detection, 5G security for industrial applications, IoT security in constrained environments, and blockchain security. He develops practical security solutions that balance protection needs with the resource constraints and operational requirements of industrial systems, particularly focusing on making security both effective and comprehensible for operators. His recent publications demonstrate a strong focus on industrial security challenges, with particular emphasis on intrusion detection systems that maintain operator control, TLS optimization for resource-constrained industrial IoT, 5G security for production systems, and novel approaches to securing legacy industrial protocols. His work consistently addresses the tension between security requirements and operational constraints in industrial settings. Nachwuchsförderpreis Verbraucherforschung NRW Borchers-Plakette ICT Young Researcher Award Dr. Henze actively contributes to the academic community through service on numerous prestigious program committees including ACM CCS, IEEE S&P, NDSS, and USENIX Security. His teaching portfolio includes graduate courses on Industrial Data Security, Industrial Network Security, and specialized seminars on 5G/6G Security and IoT Security. His research is highly collaborative, frequently involving partnerships across institutions and with industry to address real-world security challenges in critical infrastructure. He heads the SPICe research group at RWTH Aachen, which focuses on developing practical security and privacy solutions for industrial cooperation scenarios. The group's work emphasizes creating security mechanisms that are not only technically sound but also comprehensible and usable by industrial operators, recognizing that the human element is critical in maintaining security in complex industrial environments.

Hannah SpitzerView profile

Assistant Professor

• Computational Biology
• Machine Learning
• Spatial Omics
• +4 more

Hannah Spitzer is a Research Group Leader at the Institute for Stroke and Dementia Research (ISD) at Ludwig Maximilian University of Munich and an associated Research Group Leader at Helmholtz Munich's Computational Health Center. She leads the Spitzer Lab, focusing on computational analysis of multimodal brain datasets to advance understanding of neurovascular and neurodegenerative diseases. Her educational background includes: PhD in Computer Science from Heinrich-Heine University Düsseldorf and Research Center Jülich (2015-2020) Master's in Computer Science from RWTH Aachen (2013-2015) Bachelor's in Computer Science from RWTH Aachen (2009-2013) Dr. Spitzer's research integrates computational biology and machine learning to decode brain complexity, with emphasis on spatial omics analysis , interpretable image representation learning , and cross-modal data integration . Her group develops tools like squidpy and campa for spatial omics while applying graph neural networks to epilepsy lesion detection through the international MELD project, prioritizing biological interpretability in AI models. Recent publications reveal strong trends in leveraging graph neural networks for subtle brain lesion detection and creating computational frameworks for spatial omics integration. Her work consistently bridges advanced machine learning with clinical neuroscience to uncover disease mechanisms in neurodegeneration and vascular disorders. Dr. Spitzer actively mentors students including current PhD candidate Beatrice Guastella and alumni Deniz Fettahoglu (MSc) and Katia Berr (PhD). Her lab operates through major collaborations including the MELD epilepsy consortium and Helmholtz Imaging Project, with funding supporting computational pipeline development for small-vessel disease prediction and multimodal brain atlasing. The Spitzer Lab comprises postdoc Wasim Aftab and PhD student Beatrice Guastella, working on computational pipelines that integrate histology, spatial omics, and neuroimaging data to decode brain disease mechanisms through interpretable AI approaches.

• Business Information Systems
• Information Systems Architecture
• Data Distribution in Enterprises
• +2 more

Prof. Dr. Sven Pohland is a faculty member at the Berlin School of Economics and Law, affiliated with the School of Economics and Law and the Department of Quantitative Methods and Business Information Systems. His research focuses on business information systems, enterprise application integration, and information distribution frameworks. His work examines cross-organizational collaboration through system architecture and business networking technologies. Publications highlight advancements in enterprise modeling, data governance, and networked business models, with a particular emphasis on practical implementations in global enterprises. Contact: spohland@hwr-berlin.de

• Distributed Systems
• Cloud Computing
• Edge Computing
• +7 more

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