جست‌وجوی استاد و پژوهشگر

• Sport Management
• Economics of Sport
• Sports Clubs Operations
• +۳ مورد دیگر

Christoph Breuer is a Professor at the Institute of Sport Economics and Sport Management at the Deutsche Sporthochschule Köln. His work focuses on sports economics, club management, and policy analysis. He leads research initiatives examining sports integrity, club ownership dynamics, and volunteer engagement. Breuer is actively involved in editorial roles for journals such as the Journal of Global Sport Management and Sport Management Review. His research spans over 800 publications, including studies on pandemic impacts on athletes and clubs, sponsorship strategies, and logistics in sports organizations. He has received the SMAANZ Best Conference Paper Award 2024. Key projects include analyzing multi-club ownerships and evaluating prevention measures against sports match-fixing. He advises PhD students like Thomas Breuer and Christoph Pott. His grants include projects funded by third parties, such as the 'Sportentwicklungsbericht' series and investigations into sports integrity. Breuer collaborates internationally, addressing topics like equipment logistics and athlete well-being. His work bridges academic research with practical applications for sports policy and management. Editorial roles: Journal of Global Sport Management, Sport Management Review Key projects: Sport Development Report (SEB 3.0), UEFA EURO 2024 evaluation Media engagements: Over 100 press contributions on topics like sports economics and club financing

Matthias Bruhnمشاهده پروفایل

استاد

• Art History
• Media Theory
• Digital Humanities
• +۶ مورد دیگر

Prof. Dr. Matthias Bruhn is a Professor of Art History and Media Theory at the Karlsruhe University of Arts and Design (HfG Karlsruhe), where he leads the DFG priority program project "Designing Habits" (2023–2025) and its predecessor "Adaptive Images" . He is also a co-editor of the series Image Worlds of Knowledge: Art Historical Yearbook for Image Criticism and a member of the DFG Cluster of Excellence "Matters of Activity" . His academic journey began with studies in art history and philosophy in Hamburg, culminating in a 1997 doctorate on Nicolas Poussin's correspondence. Co-founded ArtHist network (2001) Directed Berlin's "The Technical Image" research unit (2005) His research spans art history, media theory, and digital humanities, focusing on the intersection of technology, visual culture, and critical theory. His recent work in The Digital Image DFG program explores adaptive images as social interfaces and their role in shaping digital interaction patterns. He also co-founded the KIM research group on AI and media philosophy (2018), addressing societal impacts of artificial intelligence. His publications include monographs like The Image: Theory - History - Practice (2008) and edited volumes such as Images of Precision: Practices of Refinement in Technology, Art, and Science (2018). He has participated in international conferences like After Memory – Recalling and Foretelling (2024) and Image Servitude: New Dependencies in the Digital Age (2019). Current affiliations include membership in the advisory board of the Stiftung Forum Recht and leadership roles in DFG-funded projects. His teaching emphasizes the relationship between traditional arts, media technology, and electronic production processes, aligning with HfG Karlsruhe's mission as a reform university.

Tobias Nipkowمشاهده پروفایل

استاد

• Formal Methods
• Interactive Theorem Proving
• Program Verification
• +۹ مورد دیگر

Professor Tobias Nipkow is a leading researcher in formal methods and interactive theorem proving at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology and the Department of Computer Science. He is a core developer of the Isabelle proof assistant and leads the Theorem Proving Group. His work has profoundly influenced program verification, semantics, and formalized mathematics. University: Technical University of Munich School: School of Computation, Information and Technology Department: Department of Computer Science Research Group: Theorem Proving Group Key Projects: Isabelle, Archive of Formal Proofs, Concrete Semantics His research focuses on formal verification, higher-order logic, semantics of programming languages, and verified algorithms. He has pioneered the formalization of textbook algorithms, data structures like B+-trees and quadtrees, and logical systems. His work bridges theoretical foundations with practical tools for software correctness. The most recent publications show a strong trend in verifying classical algorithms (e.g., Gale-Shapley, Earley parser), data structures (B+-trees, deques), and decision procedures, primarily using Isabelle/HOL. His contributions span foundational logic, program analysis, and educational approaches to formal methods. Best Paper Award at CADE 28 (2021) Tobias Nipkow has made extensive contributions to advising and collaborative research, co-authoring with numerous researchers and students. He has secured support for large-scale formalization efforts and contributed to major projects like the Flyspeck proof of the Kepler conjecture. His work is supported by ongoing development of the Isabelle framework and the Archive of Formal Proofs. He leads the Theorem Proving Group at TUM, which is central to the development and application of Isabelle. The group fosters international collaboration, contributes to the Archive of Formal Proofs, and advances research in automated reasoning, semantics, and verified systems.

Jessica Süßenbachمشاهده پروفایل

استاد

• Physical education
• Sports science
• Gender studies in sports
• +۶ مورد دیگر

Jessica Süßenbach is a Professor for Sports Pedagogy and Sports Science at Leuphana University of Lüneburg. She maintains an active research profile with 78 publications, 48 academic activities, 16 research projects, and multiple media appearances. Her work focuses on physical education, gender and diversity issues in sports, and innovative teaching approaches in primary school settings. Her research interests center on physical education in primary schools, with particular emphasis on inclusive sports practices, gender diversity, and the integration of digital media in sports teaching. She has conducted qualitative studies on movement, play, and sports in all-day primary schools, examining perspectives from both educational staff and children. Her work explores wheelchair basketball as an inclusive sport, digital video tagging in football instruction, and quality development frameworks for sports offerings in extended school settings. Analysis of her recent publications reveals a strong focus on inclusive sports education, particularly examining how to make sports accessible to children with diverse needs. She has pioneered work on digital media integration in sports teaching, especially video-based approaches for reflection and instruction. Her research consistently addresses practical applications for primary school settings, with a focus on qualitative methodologies and participatory approaches that include children's perspectives. Professor Süßenbach is actively involved in significant research projects including 'Sport vernetzt,' the Move4Health subproject examining sports clubs as developmental environments for children, and the Circular EURO 2024 sustainability initiative. Her work has received substantial institutional support, including the 'Millions in funding for Leuphana teacher training' project from 2018. Her academic contributions extend to practical applications in schools, particularly through her work on wheelchair basketball (RoBaTaS project) and video-based reflection methods for physical education. She regularly presents her findings at conferences and through media outlets, demonstrating commitment to translating research into practice.

• Pediatric Oncology
• Cancer-Related Fatigue
• Cognitive Impairments
• +۳ مورد دیگر

Dr. Anna-Maria Platschek is an academic staff member at the Institute of Movement and Neurosciences (German Sport University Cologne). Her research focuses on cancer-related fatigue , cognitive impairments , and exercise interventions for pediatric oncology patients. She collaborates extensively with institutions like the Institute of Cardiology and Sports Medicine and researchers including Thomas Abel , Saskia Henckert , and Hans-Georg Predel . Awards : Outstanding Trainee Research Award (MASCC Fatigue Study Group, 2019) Multiple Reisestipendium awards (2013–2022) Projects : ExerBrain Study (2024–2027) MORE! Move & Relax! (2020–2023) ChiMove (2016–2020) Her work bridges neuroscience and sports medicine , aiming to improve quality of life for children undergoing cancer therapy through tailored physical interventions.

Kirstin Hallmannمشاهده پروفایل

مدرس ارشد

• Sport Management
• Sustainability
• Athlete Development
• +۴ مورد دیگر

Kirstin Hallmann is a Senior Lecturer at the Department of Sport Economics and Sport Management at the German Sport University Cologne. Her research focuses on sport management, sustainability, athlete development, and event management. She holds a PhD and has contributed to over 211 publications since 2017, including studies on dual career facilitators for elite athletes, paralympic marketing communication, and climate-resilient tourism strategies. Her work explores intersections between sport and society, with notable projects such as 'Social functions and social responsibility of formal sports organizations' and 'Mega-sporting events and their capability of meaning-making'. She serves on editorial boards for journals like Event Management and European Sport Management Quarterly . Education: PhD in Sport Management, German Sport University Cologne Key Research Areas: Dual career systems, sport sustainability, volunteer dynamics, and heritage event authenticity Dr. Hallmann has received awards including the 2024 Elite Best Reviewer for the Journal of Travel Research and the AIEST Best Contribution Award (2018, 2021). Her interdisciplinary approach bridges sport management theory with practical applications in tourism, policy, and athlete well-being.

Yi-Chi Liaoمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Human-in-the-Loop Optimization
• Reinforcement Learning
• +۴ مورد دیگر

Yi-Chi Liao is a postdoc researcher at ETH Zürich under the SIP Lab, funded by the ETH Zürich Postdoc Fellowship Programme. He holds a PhD from Aalto University (supervised by Prof. Antti Oulasvirta) and Master's/Bachelor's degrees from National Taiwan University. His research focuses on computational interaction, human-in-the-loop optimization, and biomechanical simulation. He has contributed to over 14 top-tier publications in venues like CHI, UIST, and TiiS. Education: PhD in Computer Science, Aalto University (Finland) Master's in Computer Science, National Taiwan University Bachelor's in Computer Science, National Taiwan University Research Interests: Advances in HILO frameworks for adaptive systems, human-AI co-design, and biomechanical motion simulation. His work integrates reinforcement learning, Bayesian optimization, and computational modeling to enhance interactive systems. Publications: Over 14 papers in top HCI venues, emphasizing optimization techniques, tactile interfaces, and 3D interaction. Recent work includes meta-Bayesian optimization for wrist-based interactions and real-time target inference via biomechanical simulation. Awards: CHI 2022 Honorable Mention, multiple outstanding review recognitions, and the ETH Postdoc Fellowship. He serves on program committees for CHI, UIST, and TEI. Teaching: Delivered lectures on Bayesian statistics, deep learning, and computational design at Aalto and NTU. Served as a teaching assistant for HCI and computer architecture courses. Labs: Active in the Human-Computer Interaction Lab (Saarland University), SIP Lab (ETH Zürich), and collaborations with Meta Reality Labs.

László Kozmaمشاهده پروفایل

استادیار

• Data Structures
• Algorithms
• Algorithmic Adaptivity
• +۷ مورد دیگر

László Kozma is an Assistant Professor at the Theoretical Computer Science group of the Institute of Computer Science (Freie Universität Berlin). He obtained his PhD from Saarland University under Raimund Seidel, followed by postdoctoral positions at Tel Aviv University and TU Eindhoven. His research focuses on self-adjusting data structures , adaptive algorithms , and combinatorial optimization with applications to problems like the Traveling Salesman Problem, binary search trees, and geometric data structures. Academic Affiliation: Freie Universität Berlin (since 2018) Education: PhD in Computer Science (Saarland University, 2016); postdoc at Tel Aviv University and TU Eindhoven. His work explores the intersection of data structures, combinatorial algorithms, and geometric methods. He has made significant contributions to problems involving pattern-avoidance in inputs, saddlepoint detection , and self-adjusting heaps . Key areas include: Adaptive algorithms for pattern-avoiding inputs Optimal tree and heap structures Geometric and stochastic approaches to optimization Complexity analysis of classical algorithms Recent publications highlight efficient solutions for exponential cut problems (ESA 2025), balanced TSP partitioning (EuroCG 2025), and randomized saddlepoint algorithms (ESA 2024). His research often bridges theory and practice, exemplified by the smooth heap implementation and fun projects like Recursi and Cuckoo Hashing visualization.

Ruben Martinsمشاهده پروفایل

استادیار

• Constraint Programming
• Program Synthesis
• Formal Verification
• +۳ مورد دیگر

Ruben Martins is an Assistant Professor at Carnegie Mellon University's School of Computer Science and serves as the program director of the Master of Science in Computer Science (MSCS) . His research focuses on the intersection of constraint programming, program synthesis, analysis, and verification, with recent work aiming to make formal methods tools more accessible through automated reasoning. Ruben earned his Ph.D. with honors from the Technical University of Lisbon, Portugal (2013) , followed by postdoctoral research at the University of Oxford (2014-2015) and UT Austin (2015-2017) . Research Interests : Ruben's work bridges constraint programming and program synthesis , with applications in software verification , optimization , and automated reasoning . He has developed award-winning tools like Open-WBO , a modular MaxSAT solver that has won gold medals in international competitions. His publications span top-tier venues such as POPL , PLDI , FSE , SAT , and CP , often addressing real-world challenges from program analysis to network security. Scientific Awards include: Distinguished Paper Award at PLDI 2018 Distinguished Paper Award at FSE 2021 Distinguished Paper Award at SAT 2022 Gold medals for Open-WBO in MaxSAT competitions Teaching & Advising : Ruben mentors Ph.D., Master’s, and undergraduate students in research projects related to program synthesis, formal methods, and constraint solving. He teaches courses such as Bug Catching: Automated Program Verification and Advanced Topics in Logic: Automated Reasoning and Satisfiability , emphasizing hands-on experience with tools like Why3. His advising spans topics from AI-driven program repair to network protocol verification , fostering collaboration across disciplines.

Bahador Bahramiمشاهده پروفایل

استادیار

• social neuroscience
• collective decision-making
• decision-making
• +۷ مورد دیگر

Dr. Bahador Bahrami serves as an ERC Group Leader and junior faculty member at the Graduate School of Systemic Neurosciences (GSN), affiliated with the Chair of General and Experimental Psychology within the Faculty of Psychology and Educational Sciences at Ludwig Maximilian University of Munich. Previously associated with the Munich Center for Neurosciences (MCN), his current research integrates psychological, neurobiological, and computational approaches to investigate human interactive behavior. His primary research interests center on the cognitive and neurobiological mechanisms of social decision-making, with emphasis on collective intelligence, confidence calibration, influence dynamics, and consensus formation. Utilizing behavioral experiments, fMRI neuroimaging, and psychopharmacology, his work examines how humans share information and negotiate during joint decisions, particularly investigating biases like equality distortion and vulnerability to disinformation in group contexts. The lab actively explores neural substrates of social influence and human-AI collaborative decision-making. Analysis of his 2015-2021 publications reveals a consistent trajectory examining social influence mechanisms across behavioral, neural, and computational domains. Key themes include the neural basis of strategic advice-giving, cultural universality of decision biases, exploitation vulnerabilities in human-AI systems, and disinformation's impact on social influence competition. His work demonstrates interdisciplinary integration of psychology, neuroscience, and game theory to model collective cognition. Scientific recognition includes: ERC Group Leader award supporting his independent research program Dr. Bahrami supervises graduate researchers including Jamal Esmaily, with his ERC-funded laboratory enabling comprehensive investigation of interactive decision-making. His research program combines theoretical modeling with multimodal empirical approaches, securing significant European funding for exploring the biological foundations of social cognition. Current projects examine neural correlates of influence reciprocity and algorithmic exploitation in human-machine teams. He leads an active research group at LMU Munich investigating crowd cognition dynamics, with laboratory facilities supporting behavioral testing, fMRI studies, and computational modeling of social interactions. The team maintains international collaborations across neuroscience and decision science domains, focusing on translating fundamental research into understanding real-world collective behavior in digital and social environments.

Sebastian von Mammenمشاهده پروفایل

استاد

• Games Engineering
• Virtual Reality
• Interactive Simulations
• +۳ مورد دیگر

Prof. Dr. Sebastian von Mammen is a tenured professor at the University of Würzburg's Institute for Computer Science, where he heads the Games Engineering research group and contributes to the Chair for Human-Computer Interaction. His group leads the Games Engineering academic program. Previously, he completed his habilitation (2012-2016) at the University of Augsburg's Chair of Organic Computing and was a postdoctoral fellow at the University of Calgary. His research spans: Real-Time Interactive Systems : Visual programming, immersion techniques, software engineering Interactive Simulations : Serious games for healthcare/logistics/construction Artificial Life : Self-organisation, adaptive systems, evolutionary computation Artificial Intelligence : Agent-based modeling, procedural content generation Recent publications (2023-2025) demonstrate strong focus on: Virtual reality applications in education (femtoPro optics simulator, BrainBuilder neuroanatomy) Healthcare technology platforms (VIA-VR for medical serious games) Game mechanics analysis (Match-3, Jump'n'Run flow) AI-driven emotion recognition and interactive systems Computational modeling of biological systems He leads the Games Engineering research group and previously participated in the Evolutionary and Swarm Design group (Calgary) and LINDSAY project. His lab develops VR simulations for scientific training and serious games applications.

Yann Disserمشاهده پروفایل

استاد

• Combinatorial Optimization
• Online Algorithms
• Graph Theory
• +۶ مورد دیگر

Professor Yann Disser is a faculty member in the Department of Mathematics at TU Darmstadt since 2021. He previously held an Assistant Professor (tenure-track) position at TU Darmstadt (2016-2021), a PostDoc position at TU Berlin (2012-2016), and a Visiting Professor role at Augsburg University (2015). His research spans Combinatorial Optimization , Online Algorithms , Graph Exploration , Computational Complexity , and Robust Optimization . Current position: Professor (W2), TU Darmstadt Previous: Assistant Professor (2016-2021), TU Darmstadt PostDoc & Habilitation: TU Berlin (2012-2016) His research focuses on algorithmic approaches to optimization problems, including: Combinatorial Optimization for problems like Steiner trees and knapsack variants Online Algorithms with applications to scheduling and transportation Graph Exploration by mobile agents and complexity bounds Computational Complexity of linear programming pivot rules Network Flows and geometric reconstruction Recent publications analyze incremental maximization with greedy methods, lower bounds for active-set methods , and universal circuit designs . His work appears in top venues like IPCO , ESA , and SODA . He advises a team of researchers including David Weckbecker, Farehe Soheil, and Alexander Birx. Current and past advisees often focus on algorithmic theory, with placements at institutions like HPI Potsdam and Merck.

Gabriele Bavotaمشاهده پروفایل

دانشیار

• Software Quality
• Empirical Software Engineering
• Mining Software Repositories
• +۳ مورد دیگر

Gabriele Bavota is an Associate Professor at the Software Institute of Università della Svizzera Italiana (USI) in Lugano, Switzerland. He leads the SEART (Software Engineering Advanced Research Team) group and serves as Principal Investigator for the DEVINTA ERC starting grant focused on developer intelligence through mining software artifacts. Dr. Bavota's research spans Software Quality, Empirical Software Engineering, and Mining Software Repositories. His work has evolved from foundational studies on code smells and technical debt to cutting-edge research at the intersection of artificial intelligence and software development. He has made significant contributions to understanding API usage patterns, software quality metrics, and developer behavior through empirical studies of large software repositories. His recent publications reveal a strong focus on AI-assisted software development, with extensive research examining code generation, code summarization, and code review automation using large language models. He has also expanded his research to include quality assurance in game development (detecting game stuttering and low engagement events) and voice user interface testing. His work consistently bridges theoretical insights with practical applications for software developers. ACM SIGSOFT Distinguished Paper Award for API compatibility research (MSR 2019) ACM SIGSOFT Distinguished Paper Award for Hugging Face model documentation study (ICPC 2024) ACM SIGSOFT Distinguished Artifact Award for deep learning fault taxonomy (ICSE 2020) As an active member of the software engineering research community, Dr. Bavota serves on program committees for major conferences including ICSE, ASE, FSE, and MSR. He has held leadership roles such as Program Co-Chair for ICSME 2023 and Vision/Reflection Track Co-Chair for ICSE. His SEART research group develops practical tools like the SEART Data Hub that streamline large-scale source code mining and preprocessing for empirical software engineering research.

• Information visualization
• Visual analytics
• Eye tracking
• +۱۰ مورد دیگر

Tanja Blascheck is a PostDoc Researcher and Margarete von Wrangell Fellow at the Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart. Her work focuses on visual analytics , eye tracking , and microvisualizations for smartwatches and other wearable devices.

• Numerical Analysis
• Stochastic Partial Differential Equations
• Computational Physics
• +۱۲ مورد دیگر

Prof. Dr. Lubomir Banas is a full-time Professor at the Faculty of Mathematics , University of Bielefeld. His research focuses on numerical analysis of stochastic partial differential equations (SPDEs) , particularly in micromagnetism, phase field models, and stochastic games. He leads Subproject B03 in the SFB 1283 project 'Taming Uncertainty and Profiting from Randomness and Low Regularity in Analysis, Stochastics and Their Applications.' Research Interests: Numerical methods for SPDEs and singular-degenerate PDEs Adaptive finite element techniques and a posteriori estimates Phase field models (Cahn-Hilliard, obstacle potentials) Stochastic games with asymmetric information Computational micromagnetism and magnetostriction Self-organized criticality and nonlinear stochastic flows Recent work includes: 2025: Numerical approximation of biharmonic wave maps and stochastic games 2024: Sharp interface limits for stochastic Cahn-Hilliard equations 2023: Singular-degenerate SPDEs and a posteriori estimates 2022: Stochastic total variation flow and Hamilton-Jacobi-Bellman equations 2021: Nematic electrolytes and homogenization of two-phase flows He serves on examination boards for Bachelor's and Master's programs in Mathematics and Mathematical Physics, and supervises graduate students within the Bielefeld Graduate School in Theoretical Sciences . His publications (over 30) address convergence analysis, error estimation, and computational modeling in applied mathematics.