Christopher Eibel is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander University Erlangen-Nuremberg (FAU). He specializes in energy-aware systems, distributed computing, and middleware design. His work focuses on optimizing energy efficiency in dynamic applications, heterogeneous computing environments, and real-time systems. His research includes projects such as BATS (tracking wildlife via sensor networks), E³ (energy-aware execution environments), and SEEP (symbolic execution for energy optimization). He has contributed to frameworks like Empya (energy-efficient middleware) and Albatross (profit-driven HPC runtime systems). Eibel has published extensively on topics like energy-aware programming, cloud computing, and heterogeneous cluster management. Notably, his work on Strome (energy-aware data-stream processing) won the Best Paper Award at DAIS 2018. He has supervised multiple theses on energy-efficient systems and middleware. He has taught courses on distributed systems and cloud computing since 2013, focusing on practical exercises and master’s seminars. His lab collaborates on projects involving high-performance computing, sensor networks, and operating system-level optimizations.
Elmar Bittner is a theoretical physicist and Researcher at the Institute for Theoretical Physics (ITP) at the University of Heidelberg. He also serves as the administrator of the institute's computer network. His academic background includes a PhD in Physics from Vienna University of Technology (2001) and a Dipl.-Ing. (equivalent to MSc) from the same institution (1998). He has held postdoctoral positions at the Institute of Atomic and Subatomic Physics in Vienna and the University of Leipzig, where he also served as Akademischer Rat (Senior Lecturer) and Head of IT. His research focuses on quantum gravity, lattice models of two- and four-dimensional systems, phase transitions in statistical mechanics, and Monte Carlo simulation techniques. Notable contributions include studies on vortex dynamics in lattice Higgs models, eigenvalue spectra in QCD, and the development of parallel tempering algorithms. Bittner has also explored applications of statistical physics to social phenomena, such as football goal distributions. His publications span topics like Ising model dynamics, critical phenomena, and random matrix theory. He has collaborated with institutions such as the University of Leipzig, Brunel University, and INFN (Italy), contributing to international conferences and workshops. Despite no listed awards, his work reflects significant contributions to theoretical physics and computational methods. Bittner’s roles include managing the ITP’s technical infrastructure, reflecting his dual expertise in theoretical physics and computational administration.
Werner Wetzel serves as a Professor within the Department of Theoretical Physics at Heidelberg University, where he has been actively involved in teaching and research. His academic contributions are evident through a series of specialized courses delivered between 2004 and 2009, covering advanced topics in theoretical physics and computational methods. These courses include Parallel Programming with MPI or Threads for BW-Grid-like systems, Group Theory, Lattice Field Theory and Numerical Simulations, Loop Quantum Gravity, Quantum Monte Carlo, and Quantum Mechanics with a focus on interpretation questions and mathematical foundations. His research expertise spans several critical areas of theoretical physics, particularly emphasizing computational approaches. Key fields of interest include Parallel Computing for high-performance physics simulations, Group Theory applications in physical systems, Lattice Field Theory and associated numerical simulation techniques, Quantum Gravity (with specific work in Loop Quantum Gravity), Quantum Monte Carlo methods, and the foundational aspects of Quantum Mechanics. Prof. Wetzel's course on parallel programming demonstrates his commitment to integrating cutting-edge computational tools, such as MPI and threading models, into physics research, addressing practical challenges in parallelization, debugging, and optimization for large-scale simulations. Despite the detailed course descriptions and teaching materials provided, the available texts do not mention any scientific awards, honors, or fellowships attributed to Prof. Wetzel. Similarly, there is no information regarding his supervision of students (PhD, Master's, etc.) or details of research grants he may have secured. His institutional affiliation is clearly with the Institute of Theoretical Physics at Heidelberg University, situated at Philosophenweg 16 in Heidelberg, Germany, which serves as the hub for his academic activities.
M.Sc. Pascal Esser is a researcher at the Department of Informatics at Technical University of Munich (TUM). He specializes in theoretical computer science, formal methods, and machine learning, with a focus on neural networks and verification techniques. His teaching responsibilities include courses on theoretical computer science fundamentals such as Petri Nets, Automata and Formal Languages, Logic, and Model Checking. He has contributed to research in representation learning, graph neural networks, and probabilistic models, as evidenced by his recent publications. Esser is involved in the development of tools like Automata Tutor and has collaborated on projects such as PaVeS and ConVeY. His work bridges formal methods and artificial intelligence, emphasizing rigorous theoretical foundations while exploring practical applications in neural network verification and algorithm design. Education: Master of Science in Computer Science (degree details unspecified). Research Interests: Formal verification, machine learning theory, neural networks, representation learning, graph algorithms, and theoretical computer science. Professional Activities: Active in teaching advanced undergraduate and graduate courses since 2020, with a focus on foundational topics in informatics and emerging areas like neural network verification. Egger's research trends emphasize interdisciplinary approaches, combining insights from statistical learning theory with algorithmic analysis to address challenges in modern AI systems. His publications highlight advancements in understanding model dynamics, kernel-based methods, and graph neural network architectures. While no specific grants or awards are listed, his sustained academic contributions indicate active engagement in the informatics research community. He is part of a research group at TUM including notable figures like Javier Esparza and Jan Křetínský, contributing to tools and frameworks for automata theory and model checking. His work often intersects with practical software implementations such as the Automata Tutor educational platform and Strix verification tools.
Prof. Günter Rudolph is a Professor of Algorithmic Foundations and Education in Computer Science at the Technical University of Dortmund's Department of Computer Science. He leads Chair 11: Algorithm Engineering, focusing on Computational Intelligence (CI), Evolutionary Algorithms, and their applications in optimization and gaming. His research emphasizes theoretical analysis of CI methods, practical guidelines for operationalization, and applications in engineering, energy systems, and entertainment. Key research areas include multi-objective optimization, evolutionary robotics, and computational intelligence in games such as StarCraft and car racing simulations. He has advised numerous students on topics ranging from autonomous driving systems to procedurally generated game content. Rudolph collaborates internationally, including with CINVESTAV-IPN (Mexico) on multiobjective control methods and BMWi-funded projects on energy systems and forming process predictions. His work spans academic publications in journals like Genetic Programming and Evolvable Machines and conferences such as IEEE CIG. Notable projects include developing adaptive car racing controllers, optimizing energy supply systems in industrial parks, and advancing AI strategies in real-time strategy games. Rudolph's group actively contributes to game AI research through competitions like the StarCraft AI Competition and the Simulated Car Racing Championship, emphasizing the intersection of computational intelligence and entertainment.
apl. Prof. Dr.-Ing. Claus Brenner is an Adjunct Professor at the Institute of Cartography and Geoinformatics within the Faculty of Civil Engineering and Geodetic Science at Leibniz University Hannover. His research focuses on LiDAR mapping, point cloud processing, and robust estimation, with applications in autonomous systems, urban mapping, and disaster risk assessment. He leads the Graduiertenkolleg 2159 research group on integrity and collaboration in dynamic sensor networks. Key research areas include 3D reconstruction, SLAM (Simultaneous Localization and Mapping), semantic segmentation of mobile mapping data, and cooperative perception systems. His work integrates advanced machine learning techniques with geospatial data analysis, addressing challenges in sensor fusion, uncertainty modeling, and real-time localization. Recent publications span topics like voxel-based point cloud localization for smart spaces, flood risk mapping using LiDAR, and adversarial shape completion. Brenner has contributed to benchmark datasets such as LuCoop and LUMPI, advancing research in cooperative perception and urban navigation. His methods emphasize robustness and scalability, often leveraging generative models and statistical frameworks for urban environment analysis. Notable projects include the development of high-definition mapping using LiDAR, trajectory-based road network reconstruction, and semantic annotation from user trajectories. His work bridges theoretical advancements in computer vision with practical applications in autonomous systems and smart infrastructure.
Andreas Neuhierl is an Assistant Professor of Finance at the Olin Business School, Washington University in St. Louis. His research focuses on asset pricing, financial econometrics, machine learning, macroeconomics, and commodity markets. He explores the intersection of advanced analytical methods and financial market dynamics, with a particular interest in forecasting, data integrity, and policy impacts. His work bridges theoretical frameworks with empirical applications, addressing topics like the influence of accounting rules on bond markets, machine learning uncertainties in asset pricing models, and the implications of missing data in financial studies. Recent projects examine noise in economic forecasts, segmentation premia in asset markets, and deep learning techniques for stock index predictions. Neuhierl has contributed to understanding FOMC meeting effects on momentum strategies, commodity market financialization, and the robustness of arbitrage portfolios. His research often critiques data snooping biases and emphasizes methodological rigor in empirical finance.
Prof. Dr. Gernot R. Müller-Putz is a leading academic in neural engineering and brain-computer interfaces at the Institute of Neural Engineering , Graz University of Technology , within the Faculty of Computer Science and Biomedical Engineering . He leads both the institute and its associated Laboratory of Brain-Computer Interfaces , driving cutting-edge research in non-invasive neurotechnology and assistive systems. Research Interests: His work spans Brain-Computer Interfaces , EEG signal processing , neurorehabilitation , neuroprosthetics , and cognitive neuroscience . He focuses on decoding motor intentions, sensory feedback restoration, and developing interpretable AI models for neural data. His research bridges engineering, neuroscience, and clinical applications to enhance human-machine interaction and improve quality of life for individuals with disabilities. Recent Research Trends: Analysis of his latest publications (2024–2025) reveals a strong emphasis on EEG-based decoding of gait and reaching movements , cross-subject generalization using deep learning, sensory and proprioceptive restoration in amputees, and cognitive processing in augmented reality . These reflect a cohesive trajectory toward real-world, clinically viable BCI systems with robust and interpretable performance. Scientific Leadership and Editorial Roles: Specialty Chief Editor, Brain-Computer Interfaces , Frontiers in Human Neuroscience Associate Editor, Neuroprosthetics , Frontiers in Neuroscience Review Editor, Health Informatics , Frontiers in Digital Health Topic Editor, Neurophysiological foundations of videoconference fatigue He plays a significant role in shaping discourse in BCI and neural engineering through editorial leadership. Advising and Research Leadership: As head of the Institute of Neural Engineering and the BCI Laboratory, he mentors students and researchers, oversees multiple funded projects, and collaborates internationally. While specific students are not listed, his high publication output and editorial roles suggest active supervision and team leadership. His research is supported by ongoing grants in neural engineering and assistive technologies, though specific funding sources are not detailed here. Laboratories and Teams: Institute of Neural Engineering , Graz University of Technology Laboratory of Brain-Computer Interfaces (affiliated with the institute) These units form a hub for interdisciplinary research in neural signal processing, BCI development, and clinical translation.
Dr. Robert Kitzmann is a Researcher in the Department of Economic Geography at the Humboldt University of Berlin 's Faculty of Mathematics and Natural Sciences. Since 2012, he has served as a research assistant, focusing on urban development, housing policy, and post-growth economics. He became Deputy Director for Studies and Teaching in 2019 and completed his magna cum laude doctoral thesis on Berlin's housing market resilience in 2017. Education: MSc in Geography (Humboldt University, 2011) PhD in Geography (Humboldt University, 2017) Kitzmann's research explores housing sufficiency , urban gentrification , and tourism impacts through empirical case studies in Berlin, Florence, and West Africa. His recent publications analyze home swapping strategies, resource-saving housing, and UNESCO heritage sites' tourism dynamics. Scientific awards include: magna cum laude (2017) for his doctoral thesis He supervises BA/MA theses on topics like: Ecological urban planning Commercial gentrification Climate policy and housing Post-growth urban strategies Transport and tourism sustainability Urban industrial redevelopment
Dr. Martin Semmann serves as the Managing Director of the Hub of Computing and Data Science (HCDS) at the University of Hamburg since 2023. Previously, he worked as a Postdoctoral Researcher & Managing Director at ahoi.digital (2018-2023) and as a Scientific Staff Member in the IT Management and Consulting (ITMC) department at the University of Hamburg (2011-2018). His academic background includes an M.Sc. and B.Sc. in Business Informatics from Georg-August-Universität Göttingen. Dr. Semmann's research spans multiple interdisciplinary domains with a strong focus on Artificial Intelligence applications for social good , including democratic discourse monitoring, hate speech detection, and equitable access to medical knowledge. His work bridges Natural Language Processing with political science, ethics, and low-resource language processing, particularly focusing on Amharic language applications. He has made significant contributions to Digital Transformation research, especially in sustainable mobility and public transportation systems. His publication portfolio demonstrates expertise across multiple domains including Retrieval-Augmented Generation systems, multilingual polarization analysis, interdisciplinary collaboration frameworks, and decolonial AI approaches. These works show a consistent pattern of addressing societal challenges through technological innovation while emphasizing ethical considerations and cultural relevance. Dr. Semmann actively supervises numerous final theses across diverse topics including Digital Transformation, Benefit Management, and Service Systems. His current research projects include WizARd (knowledge networking through augmented reality) and Rescue-Mate (dynamic situation creation for emergency responders). Previously, he contributed to projects such as IGT (Information Governance Technologies), ExTEND, PROMIDIS, and ProduSE. As an active member of the academic community, Dr. Semmann serves on editorial boards and as a reviewer for prominent journals including Business & Information Systems Engineering, Communications of the AIS, and the European Conference on Information Systems. He is also a founding member of the Artificial Intelligence Center e.V. since 2019.
Prof. Zhaoping Li leads the Sensory and Sensorimotor Systems group at the Max Planck Institute for Biological Cybernetics and is affiliated with the Werner Reichardt Centre for Integrative Neuroscience in Tübingen, Germany. The research group investigates how the brain processes sensory input (vision, audition, tactile sensation, olfaction) to direct motor actions and cognitive decisions. Research spans visual illusions , attention mechanisms , and object recognition Employs interdisciplinary methods: fMRI , electrophysiology , human psychophysics , and computational modeling The group's publications between 2019-2021 focus on topics like depth perception dynamics , peripheral vision illusions , and neural correlates of visual processing . Their work bridges theoretical neuroscience with experimental validation. Contact: li.zhaoping@tuebingen.mpg.de | Visit Homepage
Jacques Prieur is a post-doctoral researcher and Project Director at the Department of Education and Psychology, Freie Universität Berlin, within the Comparative Developmental Psychology group led by Prof. Dr. Katja Liebal. His research focuses on great apes’ multimodal communication and laterality, particularly exploring mechanisms of gesture acquisition and development in gorillas. He investigates the Social Negotiation hypothesis through comparative studies of primate communication to understand human language origins. Key research interests include manual laterality in non-human primates, the evolutionary roots of human handedness and language, and the interplay between social interaction and gestural meaning construction. His work spans captive chimpanzees and gorillas, analyzing factors influencing gestural laterality and communication dynamics. Prieur’s publications (2012–2019) address topics like primate gesture laterality, human handedness variability, and cross-species communication patterns. He actively supervises thesis and internship projects related to these themes. His 2015 doctoral thesis at University of Rennes 1, France, explored intraspecific gestural laterality in chimpanzees and gorillas.
Samuli Reijula is a University Lecturer in Theoretical Philosophy at the University of Helsinki, holding a permanent faculty position equivalent to US associate professor. He is also a docent (habilitation / adjunct professor) in Practical Philosophy and an Academy Research Fellow. Reijula is affiliated with the TINT Centre for Philosophy of Social Science and specializes in the philosophy of science, cognitive science, and institutional epistemology. His research focuses on how science works as a distributed cognitive system, examining scientific problem-solving at multiple levels from individual scientists to research groups and scientific communities. Reijula investigates cognitive diversity, coping with uncertainty, epistemology of simulation modeling, foundations of scientific classification, and issues related to the science of science, scientific discovery, and science policy. He is particularly interested in viewing science as a collective cognitive system and understanding the social, cognitive, and institutional preconditions for well-functioning scientific research. Reijula's recent publications explore topics including objectivity in academic recruitment, AI and epistemic humility, the Fediverse as a solution to epistemic challenges in the AI era, diversity in scientific communities, and the concept of Bildung university. His work often bridges philosophy with practical policy implications, addressing issues like inheritance tax policy, public authorities' use of social media platforms, and the philosophical foundations of open science. He has received research funding from the Academy of Finland for his project 'Modeling the republic of science: Collaborative problem solving and collective rationality in scientific inquiry' (2020-2025). Reijula is scheduled to visit Carnegie Mellon University's Center for Formal Epistemology and Institute for Complex Social Dynamics in October-November 2024. His approach integrates philosophical analysis with computational methods, particularly agent-based modeling, to understand scientific communities as complex adaptive systems.
Prof. Dr. Robert Stock is a Junior Professor at Humboldt-Universität zu Berlin's Institute for Cultural Studies. His research focuses on disability studies, media technology, and environmental humanities, with an emphasis on intersections between non-human entities, technological innovation, and societal inclusion. He leads interdisciplinary projects like the 'ACTIVE TREES' initiative and contributes to the Cluster of Excellence 'Matters of Activity'. Key roles include co-organizing the 'Symbiotic Futures' symposium and the international workshop 'Disability, Technology and Change'. Stock is a core member of the German Research Foundation-funded network 'Dis-/Abilities – Non-/Disability and Media in the Context of Digitalization', exploring assistive technologies and digital accessibility. His work spans topics like crip time, e-mobility ethics, and the historical analysis of assistive devices. Active in academic networks such as the 'Deaf History' initiative and the Media Studies and Dis/Ability Studies working group, he bridges cultural theory, science, and activism through events like the 'STS HUB 2025' conference. Collaborative research includes projects on medical education via serious gaming and international partnerships with institutions like the Universidade de São Paulo. Research Interests: Disability studies, media accessibility, environmental humanities, technological innovation, cultural activism, and the materiality of human/non-human interactions. His work often critiques normative frameworks in technology and advocates for inclusive design practices. Recent Articles Trends: Focus on interdisciplinary approaches to disability, mobility technologies, and environmental sustainability. Key themes include the societal impact of assistive technologies, the role of sound in urban accessibility, and the historical dimension of disability activism. Grants & Collaborations: Leads the SFB sub-project 'The Digital Cut' on haptic technologies in medical education, co-edits academic volumes, and organizes international conferences. His research is funded by the DFG and involves global partnerships across Europe, Brazil, and Canada. Labs/Teams: Active in the Institute for Cultural Studies, Cluster of Excellence 'Matters of Activity', and the interdisciplinary research group 'Media Studies and Dis/Ability Studies' within the German Media Studies Association.
Dr. Jessica Birkholz is a Researcher at the Chair of Economics of Innovation and Structural Change, University of Bremen. She holds a PhD (2022), M.Sc. (2018), and B.Sc. (2015) in Business Administration from the University of Bremen. Her research focuses on entrepreneurship, regional economic dynamics, and knowledge diffusion in innovation systems. She is actively involved in the hyBit project on hydrogen energy transformation and the VISIBLE 2.0 project on simulation labs for investment analysis. Academic Background: PhD in Innovation Economics (2022), M.Sc. (Innovation Economics/Marketing), B.Sc. (Behavioral Economics) Professional Experience: Postdoc (2022-present), Guest Researcher at University of Zaragoza (2021) and Maastricht University (2021) Research emphasizes regional embeddedness impacts on entrepreneurship, innovation adoption patterns, and pandemic effects on business models. She has organized workshops like INNcentive and presented at conferences including EAEPE and DRUID. Active in review roles for journals like Small Business Economics and Construction Management and Economics . Teaching includes assisting courses on innovation economics, structural change, and entrepreneurship at undergraduate and graduate levels. Her work integrates machine learning techniques with regional economic analysis to explore innovation dynamics.
