Christian Haubelt is a Professor at the Institute of Computer and Network Engineering, School of Engineering, University of Rostock, Germany. He is actively engaged in research and teaching in the areas of embedded and cyber-physical systems, smart implants, and IoT. His work is supported by multiple national and international projects including ELAINE (SFB 1270), SmILE (EU), 6G-Health (BMBF), and GenerIoT (BMBF). His research interests include: Embedded and Cyber-Physical Systems Smart Sensors and Smart Implants System-Level Design Methodologies SystemC-based Modeling and Verification Design Space Exploration and Multi-Objective Optimization Industrial Internet of Things and 6G for Healthcare His recent publications focus on real-time communication protocols, 5G/6G localization, smart implants, and secure IoT systems. Trends show a strong emphasis on integrating embedded systems with medical and industrial applications, particularly leveraging TSN, MQTT-SN, and OPC UA for reliable and secure communication. His work bridges theoretical modeling with practical implementation in safety-critical domains. Christian Haubelt has supervised multiple researchers including Michael Nast, Benjamin Rother, Nico Kalis, and Nico Graumüller. He leads several funded research projects such as ELAINE, SmILE, 6G-Health, and SUSTAIN, which focus on smart implants, secure IoT, and next-generation medical systems. These projects involve collaboration with DFG, EU, and BMBF. He is involved in the following research labs and teams: Embedded Systems and Cyber-Physical Systems Group Smart Implants Research Team (SmILE, ELAINE) 6G-Health Localization Team Industrial IoT Security (SUSTAIN, CargoAssist)
Currently a Research Fellow at Harvard University & MIT , Fangneng Zhan specializes in Neural Rendering and Generative AI . His research focuses on developing evolutive rendering frameworks, 3D-aware generative models, and multimodal synthesis techniques. Previously, he was a postdoctoral researcher at the Max Planck Institute for Informatics under Prof. Christian Theobalt. He earned his Ph.D. in Computer Science & Engineering from Nanyang Technological University, Singapore and a Bachelor's in Communication Engineering from the University of Electronic Science and Technology of China . His work spans 3D reconstruction, robotics applications , and lighting estimation , with significant contributions to SIGGRAPH , NeurIPS , and CVPR conferences. Recent research highlights include evolutive gauge transformations for neural fields, generalizable 3D style transfer via Gaussian splatting, and multimodal synthesis frameworks leveraging pre-trained models like CLIP and Stable Diffusion. He has co-authored Top50 Popular Paper in TPAMI 2023 and organized workshops at CVPR 2024 on generative models. Scientific Awards: Top50 Popular Paper, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2023 Collaborative Network: Mentored students at institutions like Harvard, NTU, and ETH Zurich. His projects include datasets for lighting estimation and real-time scene text detection systems.
Dr. Alexander Gebharter is associate professor in the Department of Biomedical Sciences and Public Health at Marche Polytechnic University (UNIVPM) in Ancona, Italy, co-director of the Center for Philosophy, Science, and Policy (CPSP), and an external member of the Munich Center for Mathematical Philosophy (MCMP) at Ludwig Maximilian University of Munich. His work spans philosophy of science, epistemology, metaphysics, and philosophy of mind, with a strong focus on causation, interventionism, and mechanistic modeling. Education: PhD in Philosophy, University of Duesseldorf, Germany (2016) MA in Philosophy, University of Salzburg, Austria Research Interests: Gebharter’s research addresses foundational and methodological questions in philosophy of science, especially the nature of causation, mechanistic explanation, and the formal tools used to represent causal relationships. He employs causal Bayes nets, probabilistic modeling, and interventionist frameworks to investigate higher-level causation, free will, scientific explanation, and the structure of scientific theories. His work often sits at the intersection of metaphysics and epistemology, exploring how causal relations underpin explanation, prediction, and confirmation. Funding & Leadership Roles: Principal Investigator, PRIN PNRR project “Controlling and Utilizing Uncertainty in the Health Sciences (CUUHS)” Principal Investigator, DFG project “Interventions and Mechanistic Hierarchies” (441311834) Member, SNF & DFG project “Beyond Causal Exclusion: New Challenges for Multi-Level Causal Models” Former member, DFG research units Inductive Metaphysics (FOR 2495) and Causation, Laws, Disposition, Explanation (FOR 1063) Member, ANR project “Insights from Bolzano” Editorial & Service: Editor-in-Chief, KRITERION – Journal of Philosophy Category Editor, PhilPapers: Causal Reasoning & Causal Modeling Honorary Treasurer, German Society for Philosophy of Science (GWP) Laboratory & Team: Gebharter heads interdisciplinary teams at UNIVPM and collaborates closely with researchers at the University of Turin, LMU Munich, and other European institutions, integrating philosophy with biomedical and public-health research.
Jignesh M. Patel is a Professor at the University of Wisconsin, Madison, WI, USA , with over 25 years of contributions to database systems, data analytics, and hardware-aware query processing. His work bridges theoretical advancements with practical systems engineering. Research Interests span: Database systems optimization (query processing, transaction management) Hardware acceleration for analytics (eBPF, PIM, GPUs) Machine learning integration in databases (feature selection, model optimization) Efficient data structures (hashing, encoding, indexing) Multi-tenant and cloud database management Recent Work focuses on kernel-embedded databases (BPF-DB, 2025), memory-efficient dataframe processing (SplitDF, 2024), and algorithmic-hardware co-design for dense retrieval (DReX, 2025). He has pioneered techniques for adapting to data skew (VIP Hashing, 2022), leveraging static analysis in R optimization (ROSA, 2017), and rethinking benchmarking paradigms. Collaborations include key partnerships with: Systems researchers (Andrew Pavlo, José F. Martínez) Machine learning experts (Arun Kumar, Kevin Skadron) Education-focused colleagues (Adalbert Gerald Soosai Raj, Richard Halverson) Industry leaders (David J. DeWitt, Microsoft Research)
Prof. Dennis Kolberg serves as Professor of Industrial Engineering at Lübeck University of Applied Sciences, holding dual leadership roles as Head of Industrial Engineering Bachelor/Master programs and Head of the Institute for Entrepreneurship and Business Development (IEBD). His career uniquely bridges academic research and industry implementation, with recent executive experience as Chief Product Officer at DIGIMONDO (2020-2023) and co-founding SPARETECH (2019). M.Sc. Industrial Engineering, University of Bremen (2007-2014) Ph.D. in Industrial Engineering, Technical University of Kaiserslautern (2014-2018) focusing on Industry 4.0 and Lean Management Vocational Training as Industrial Clerk, RK Rose+Krieger (2004-2007) His research pioneers the integration of lean production methodologies with digital technologies , specializing in Industry 4.0 implementation and OT/IT convergence for manufacturing environments. Key contributions include developing reference architectures for cyber-physical production systems and optimizing human-machine interfaces through lean automation principles. Current work emphasizes digital transformation in B2B contexts , particularly for software startups in industrial settings. Publications from 2015-2022 reveal a consistent trajectory from foundational CPS architectures toward applied IoT solutions, with recent focus on digital twins for production optimization. His work consistently bridges theoretical frameworks and practical implementation , demonstrating how lean principles enhance digital transformation outcomes in manufacturing. Kolberg actively supervises bachelor's and master's theses at Lübeck University of Applied Sciences, with students registering via email for thesis topics. His industry background informs practical research directions, though specific grant funding isn't detailed in available sources. As IEBD Director, he drives academic-industry partnerships focused on digital entrepreneurship. Leading the Institute for Entrepreneurship and Business Development, Kolberg oversees initiatives connecting academic research with business development in digital manufacturing. Previously at DFKI's SmartFactory KL, he directed research on changeable cyber-physical production systems, establishing methodologies now applied in his current industry collaborations.
Raul Wood is a Research Fellow at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), specifically within the Institute for Snow and Avalanche Research (SLF) in Davos. He operates in the Snow and Atmosphere Unit under the Hydrology & Climate Impacts in Mountain Regions Group, focusing on climate-hydrology interactions in alpine environments. His research centers on extreme hydroclimatic events, with emphasis on precipitation extremes, flood/drought dynamics, and climate change impacts in mountainous regions. Wood employs global climate model ensembles and hydrological modeling to dissect internal variability versus forced responses, particularly across European and Alpine domains. His work bridges theoretical climate science with practical water resource management challenges. Analysis of Wood's publication record reveals consistent focus on multi-scale extreme event analysis, compound hazards, and ensemble-based uncertainty quantification. His recent work increasingly addresses societal impacts through urban flood resilience and population exposure metrics, while maintaining technical rigor in statistical downscaling and hydrological modeling. Wood actively contributes to three major research initiatives: SynFire (synchronous forest fires in Europe), Hydro-SMILE (hydrological ensemble for Swiss droughts/floods), and upXdown (upstream-downstream drought cascades in the Alps). These projects demonstrate his commitment to solving complex climate-water challenges through collaborative, interdisciplinary approaches with European partners.
Detlev Marpe is a leading researcher at the Fraunhofer Heinrich Hertz Institute (HHI), serving as Head of the Video Coding & Analytics Department and Head of the Image & Video Coding Group. His work focuses on advancing video compression standards, including HEVC (H.265) and its extensions. He has contributed significantly to tools like entropy coding, transform coding, and scalable video coding. His research emphasizes efficient compression techniques, such as adaptive context models and wavelet-based methods, with applications in multimedia communication and low-delay video encoding. Affiliations: Fraunhofer Institute for Telecommunications HHI, Berlin, Germany Roles: Department Head, Research Group Leader, and Adjunct Lecturer at TU Berlin (2013/14) Research Interests: Video coding standards (HEVC, H.264/AVC), entropy coding (CABAC), wavelet-based compression, scalable video coding (SVC), multiview video coding (MVC), and rate-distortion optimization. His work bridges theoretical advancements with practical implementations, addressing challenges in compression efficiency, scalability, and real-time applications. Publications & Awards: Over 200 publications in top-tier journals and conferences, including IEEE Transactions and SPIE. Notable awards include the Chester Sall Best Paper Award and multiple Best Paper Awards from IEEE journals. His contributions to video coding standards have been adopted in global specifications like MPEG and ITU-T. Grants & Labs: Involved in major research projects on HEVC extensions, 3D video coding, and low-delay applications. Collaborates with industry partners and academic institutions globally. His team at HHI develops reference software and test models for emerging standards.
Professor Adi Armoni holds a Personal Chair in Physics at Swansea University's School of Biosciences, Geography and Physics. His research focuses on theoretical physics, particularly the interplay between gauge field theories and string theory, with recent work on three-dimensional Quantum Chromodynamics (QCD) and its realization via brane configurations or holography. He has contributed to understanding dualities in quantum field theories, vacuum structures, and holographic QCD. Armoni has been recognized with awards such as the PPARC Advanced Fellowship and Senior Fellow Award. His publications span over two decades, exploring topics like S-duality in Chern-Simons theories, domain walls in QCD3, and Seiberg duality in non-supersymmetric models. He advises PhD students on projects such as 'Domain walls in the large-N limit of QCD3' and 'Dualities in 3d Field Theories and String Theory'. His research also involves collaborations on holography, string theory models, and lattice simulations. Professor Armoni's work bridges theoretical frameworks to explore fundamental questions in particle physics and quantum field theory.
Prof. Tatjana Tchumatchenko is Professor and TRA Steering Committee member at the University of Bonn, leading a computational neuroscience group at the Institute of Experimental Epileptology and Cognition Research. Her research focuses on computational analysis of recurrent neural networks and molecular dynamics of synapses. Research examines how molecular dynamics in dendrites organize synaptic plasticity outcomes, and how synaptic learning rules help neural networks solve computational tasks. The group develops quantitative methods to understand neural data and predictive models of neural network function across molecular, synaptic, and network levels. Honors include the Boehringer Ingelheim FENS Research Award (2022), ERC Starting Grant (2020), Heinz Maier-Leibnitz-Prize (2016), and election to the Young Academy of Europe. Current projects investigate dendritic protein distribution, energy constraints in neurons, and astrocyte contributions to learning.
Matthias Becker is a Professor at the Institute for Practical Computer Science within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover, where he has been a core member of the Human-Computer Interaction group since 2019. He serves as Internship Coordinator for Computer Science and Computer Engineering and holds key roles in the Computer Science Examination Board and Selection Committee, actively shaping academic governance and student development. His academic journey began with PhD studies at the University of Bremen (1996-2000) supported by a DFG grant, followed by a postdoctoral permanent position at Leibniz University Hannover (2000-2019), an Associated Assistant Professor role at École des Mines de Nantes (2000), and a Habilitation in Computer Science in 2013. This foundation enabled his transition to a full professorship in 2019. Becker's research spans Human-Computer Interaction, Simulation and Modeling, and Bio-inspired Computing, with applications in agriculture, renewable energy, and manufacturing. His work integrates distributed systems, optimization algorithms, and wireless sensor networks to solve complex real-world problems, such as greenhouse monitoring, wind farm logistics, and tire noise reduction. Recent publications reveal a strategic focus on practical validation of simulation models and cross-domain applications of nature-inspired algorithms. His 15 most recent publications (2018-2024) demonstrate consistent innovation in applying simulation techniques to offshore wind farm installation, agricultural pest management, and sports science. These works emphasize real-world validation, collaborative problem-solving, and the development of domain-specific optimization frameworks that bridge theoretical algorithms and industrial implementation. As Internship Coordinator, Becker facilitates critical industry-academia connections for students, while his examination board responsibilities ensure rigorous academic standards. His leadership in the Human-Computer Interaction group drives research on interactive systems for agriculture, energy, and health, with particular emphasis on user-centered design in complex operational environments like wind farm logistics and greenhouse automation.
Prof. J. Rod Franklin, PhD is a Full Professor of Logistics and Academic Director of Executive Education at Kühne Logistics University (KLU) in Hamburg, Germany. With an extensive background spanning both academia and industry, Professor Franklin brings deep practical experience to his academic role. He has held significant leadership positions at KLU, including Dean of Programs, and was instrumental in the university's planning stages as he states: "KLU is near and dear to my heart, because I was one of the individuals that helped plan the university." His unique blend of academic rigor and industry expertise makes him a central figure in KLU's mission of providing world-class logistics education and research. Professor Franklin's academic foundation is impressive: Doctorate of Management, Case Western Reserve University, USA (2000) Master of Business Administration, Harvard Graduate School of Business, USA (1979) Master of Science in Mechanical Engineering, Stanford University, USA (1975) Bachelor of Science in Mechanical Engineering, Purdue University, USA (1974) His research focuses on applying modern management techniques to supply chain operations, with pioneering work in sustainable business models, green logistics, corporate social responsibility, and cloud-based supply chain management. Professor Franklin is a leading authority on the Physical Internet concept, which seeks to revolutionize logistics through interconnected systems inspired by the digital internet. His research consistently bridges theoretical frameworks with practical industry applications, addressing critical challenges in modern logistics networks while promoting sustainability and efficiency. Professor Franklin's publication record over the past two decades reveals a clear evolution from traditional logistics service innovation toward cutting-edge research on the Physical Internet, predictive analytics, and big data applications in supply chains. His recent work demonstrates increasing emphasis on urban logistics solutions, sustainability challenges, and the integration of digital technologies with physical logistics networks. His seminal 2020 paper "From the Digital Internet to the Physical Internet" has significantly advanced the conceptual framework for this emerging field, while his 2024 protocol design work continues to push the boundaries of practical implementation. Professor Franklin leads significant research initiatives including "Accelerating the Path Towards Physical Internet - SENSE," "Internet of Food and Farm 2020," and "URBANE - Upscaling innovative green urban logistics solutions." His work has been published in top-tier journals including Journal of Business Logistics, IEEE Transactions on Systems, Man and Cybernetics, and International Commerce Review, demonstrating substantial scholarly recognition. While specific individual awards aren't detailed in available information, his leadership in major funded research projects indicates significant institutional support for his work. As Academic Director of Executive Education at KLU, Professor Franklin oversees programs that effectively bridge academic theory with industry practice. His teaching portfolio includes MBA courses on Critical Thinking, Design Thinking, Managing Multiple Complex Expectations, and Systems Thinking - all emphasizing practical application of theoretical concepts. His extensive industry background, including executive roles at Kühne + Nagel and other major logistics firms, directly informs his approach to academic supervision and executive education. Professor Franklin has successfully secured research funding for multiple projects focused on sustainable logistics innovation, demonstrating his ability to translate theoretical concepts into impactful research initiatives. Professor Franklin leads collaborative research teams focused on the Physical Internet concept and its applications in modern logistics. Through projects like SENSE and URBANE, he works with international researchers, industry partners, and policymakers to develop innovative solutions for sustainable urban logistics. His research integrates expertise from computer science, operations research, and business management to address complex supply chain challenges. The BizSLAM App, developed as part of his work on multi-level SLA management, exemplifies his team's ability to create practical tools with direct industry applications, demonstrating the real-world impact of his research vision.
Prof. Dr. Philipp Slusallek serves as Scientific Director and executive board member at the German Research Center for Artificial Intelligence (DFKI), where he leads the Agents and Simulated Reality research area. He holds a Full Professorship in Computer Graphics at Saarland University since 1999, co-founded the European AI initiative CAIRNE as Director of Strategy, and directs research at the Intel Visual Computing Institute. His career spans leadership roles in the Excellence Cluster on Multimodal Computing and Interaction and prior visiting positions at Stanford University and Nvidia Research. His academic foundation includes: 1983-1990: M.Sc. in Physics, University of Tübingen 1992-1995: Ph.D. in Computer Science, University of Erlangen Slusallek's research bridges Artificial Intelligence, Simulated Reality, and Computer Graphics with applications in high-performance computing, motion synthesis, and AI for science. His interdisciplinary work integrates real-time rendering, heterogeneous system programming (CPU/GPU/FPGA), and biomechanical modeling, driving innovations in digital reality frameworks and AI-driven simulation systems across medical, engineering, and autonomous vehicle domains. His 2025 publications reveal a strong focus on graphics compilation (Vulkan SPIR-V), rehabilitation biomechanics, and multi-agent motion simulation, demonstrating consistent integration of computer graphics foundations with emerging AI methodologies for practical real-world applications. Award highlights include the Eurographics Gold Medal (2023), acatech membership (2018), Land of Ideas Awards (2015, 2010), and Eurographics Fellowship (2013), recognizing his transformative contributions to computer graphics and AI. Eurographics Gold Medal (2023) acatech Membership (2018) Land of Ideas Award: Display as a Service (2015) Fellow of Eurographics Association (2013) CeBIT Innovation Award (2013) Land of Ideas Award: DFKI Visualization Center (2010) Slusallek leads major research initiatives including B5GCyberTestV2X (cybersecurity for autonomous driving), ENGAGE (AI computing environments), Carousel+ (digital character interaction), PRIME (predictive rendering), and TAILOR (trustworthy AI). His DFKI research group pioneers virtual environment frameworks while his academic mentorship has shaped generations of computer graphics researchers through Saarland University's programs. He co-founded the Intel Visual Computing Institute and established foundational visualization infrastructure at DFKI, maintaining active leadership in European AI strategy through CAIRNE and prior service on the European Commission's High-Level Expert Group on AI.
Johann Isaak is a leading experimental nuclear physicist serving as Head of Research Data Management and Principal Investigator (PI) of the IRTG 2891 program at the Institute for Nuclear Physics (IKP) , TU Darmstadt , Germany. His research focuses on advancing our understanding of nuclear structure through precision photonuclear experiments, particularly in the areas of the Pygmy Dipole Resonance, nuclear resonance fluorescence, and gamma-ray spectroscopy. He actively teaches specialized courses such as "Photonuclear Reactions" and contributes to interdisciplinary nuclear physics education. Research Interests: Experimental Nuclear Physics: Design and implementation of advanced detection systems like DAGOBERT for electron-gamma coincidence spectroscopy. Photonuclear Reactions: Investigating nuclear responses to real photons via quasimonoenergetic and polarized beams, focusing on dipole excitations in medium-mass nuclei. Pygmy Dipole Resonance (PDR): Pioneering studies on low-lying dipole strength, its systematic behavior across isotopic chains (e.g., Sn, Ce, Te), and implications for nuclear astrophysics. Nuclear Structure: Precision measurements of transition strengths, level densities, and gamma-ray strength functions to test theoretical models and the Brink-Axel hypothesis. Advanced Detectors and Techniques: Development of high-efficiency spectroscopy setups like y³ at HIγS and AGATA for high-resolution gamma-ray detection. Publication Trends: Isaak's recent publications (2020-2025) demonstrate a strong focus on collective nuclear excitations , evidenced by studies on giant dipole resonances, two-phonon states in Sr-88, and quadrupole excitations in tin isotopes. His collaborative work spans international facilities, including HIγS, GRAF, and Legnaro National Laboratories, highlighting his role in large-scale experimental campaigns. Scientific Contributions: Methodological Advances: Introduced model-independent approaches for determining dipole responses via (γ, γ′γ″) reactions, enhancing precision in photon strength function measurements. Experimental Leadership: Coordinated multi-institutional projects like the AGATA collaboration and NUMEN project, driving advancements in gamma-ray spectroscopy. Educational Outreach: Mentors young researchers through IRTG 2891 and contributes to foundational texts, such as chapters in the Handbook of Nuclear Physics . Collaborations and Infrastructure: Isaak leverages world-class facilities, including the S-DALINAC accelerator at TU Darmstadt and international gamma-ray sources, to probe nuclear phenomena. His leadership in research data management ensures FAIR principles are integrated into nuclear physics workflows, enhancing reproducibility and data sharing.
Dr Guy Kahane is an Associate Professor at the Faculty of Philosophy , University of Oxford, and a faculty member at the Oxford Uehiro Centre for Practical Ethics . His research bridges philosophy of neuroscience , moral psychology , metaethics , and applied ethics . Research Interests Kahane explores how neuroscience informs moral judgment, challenges utilitarianism through multidimensional models, and critiques speciesism in moral prioritization. He investigates axiological debates around theism and evolutionary suffering, arguing against simplistic views of cosmic indifference and species-based moral hierarchies. His work includes empirical studies on public perceptions of harm to animals versus humans, co-developing the Oxford Utilitarianism Scale to dissociate moral dimensions. Recent publications focus on individuality, cosmic importance, and historical significance. Notable Contributions Argued that sacrificial dilemmas fail to capture the altruistic core of utilitarianism. Challenged speciesism in moral psychology through cross-species prioritization studies. Developed a framework for understanding the axiological implications of evolution and theism.
Prof. Dr. Marina Fiedler holds the Chair of Management, People and Information at the University of Passau since 2010. She is an Associate Editor at the Schmalenbach Journal of Business Research (SBUR) and heads the Passau experimental laboratory PAULA . Her academic journey includes a PhD (2004) and habilitation (2008) from the University of Munich, with visiting professorships at Corvinus University and State University of Management.
