جستجوی استاد راهنمای دانشگاهی

Michael Klasenمشاهده پروفایل

استاد

• Particle Physics
• Quantum Chromodynamics
• Physics beyond the Standard Model
• +۳ مورد دیگر

Prof. Dr. Michael Klasen is a leading theoretical physicist at the Institute of Theoretical Physics at the University of Münster, where he heads his eponymous research group. His work bridges nuclear and particle physics, with significant contributions to quantum chromodynamics and physics beyond the Standard Model. His research focuses on Particle Physics , Quantum Chromodynamics , and Physics beyond the Standard Model , with particular emphasis on understanding the quark-gluon structure of atomic nuclei and dark matter phenomena. His innovative approach connects microscopic quark-gluon dynamics with nuclear binding phenomena, creating a crucial bridge between nuclear and particle physics. Prof. Klasen's recent work analyzing nucleon binding at the quark-gluon level was recognized as a "Breakthrough of the Year 2024" by Physics World. His research group's publication in Physical Review Letters demonstrated how quarks and gluons behave differently in nucleon pairs than in free nucleons, fundamentally advancing our understanding of nuclear binding. Breakthrough of the Year 2024 from Physics World Leadership of Research Training Group 2149 "Strong and weak interactions - from hadrons to dark matter" Supervision of award-winning doctoral research including the Infineon Dissertation Prize 2025 Prof. Klasen has successfully mentored numerous PhD students, with 20 of his group's graduates continuing their academic careers at prestigious institutions including CERN and Stanford University. His research has been supported by major funding bodies including the German Research Foundation (DFG), the Helmholtz Alliance for Astroparticle Physics, and BMBF collaborative research programs. The Klasen working group maintains active collaborations with international research networks including CTEQ, DM@NLO, and RESUMMINO.

• Sports Economics
• Betting Markets
• Match Fixing
• +۷ مورد دیگر

Professor Christian Deutscher is a prominent sports economist at Bielefeld University's Faculty of Psychology and Sport Science, specializing in the Department of Sport Science within Division V - Sport and Business. As both Research Officer and Internationalization Officer, he leads significant work in sports economics, particularly focusing on betting markets, match-fixing detection, and sports integrity. His research has attracted funding from major institutions including the German Research Foundation. Deutscher's research interests span sports economics, betting market efficiency, match-fixing detection, sports management, and the business aspects of professional sports. His work combines advanced statistical modeling with practical applications in sports integrity monitoring. He has extensively analyzed live betting markets, Bundesliga economics, and the impact of technological innovations like VAR in football. His research often examines the intersection of sports performance, economic incentives, and market behavior. Analysis of his recent publications reveals a strong focus on empirical studies of sports betting markets, particularly live and in-play betting dynamics. His work demonstrates sophisticated use of state-space models and other advanced statistical techniques to detect market inefficiencies and potential integrity issues. Deutscher frequently collaborates with statisticians and economists to develop warning systems for match-fixing, with particular attention to German football leagues. His research bridges theoretical economics with practical applications in sports governance. Professor Deutscher actively contributes to the European Sport Economics Association (ESEA), having edited special issues of conference proceedings and serving in editorial capacities. His work has been published in leading journals including Journal of Sports Economics, Economic Inquiry, and Applied Stochastic Models in Business and Industry. As Research Officer for the Faculty of Psychology and Sport Science, Deutscher oversees research initiatives and international collaborations. His current projects include data-based fraud detection in live betting markets, funded by the German Research Foundation across multiple phases. He also serves on various university committees including the Quality Improvement Commission and Examination Board for the Department of Sport Science. Deutscher maintains strong connections with sports organizations and betting industry stakeholders, ensuring his research has practical relevance for sports integrity monitoring. His work on betting market inefficiencies has direct applications for regulatory bodies seeking to protect the integrity of sporting competitions.

• 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

• Sequential Decision Making
• Bandit Problems
• Theoretical Reinforcement Learning
• +۶ مورد دیگر

Claire Vernade is a Group Leader at the University of Tübingen in the Cluster of Excellence Machine Learning for Science. She leads an active research group focused on theoretical aspects of sequential decision making, with particular expertise in bandit problems and reinforcement learning theory. Her work bridges theoretical foundations with practical applications in scientific discovery. Her research interests span sequential decision making, bandit problems, theoretical Reinforcement Learning, Learning Theory, and principled learning algorithms. She has made significant contributions to understanding non-stationary environments, lifelong learning frameworks, and the theoretical foundations of bandit algorithms. Her work on "Eigengame: PCA as a Nash Equilibrium" received an Outstanding Paper Award at ICLR 2021. Dr. Vernade has been awarded prestigious grants including an Emmy Noether award (2022) for her FoLiReL project and an ERC Starting Grant (2024) for her ConSequentIAL project. Her current ERC project explores the role of Reinforcement Learning in developing Continual Learning agents, with applications to scientific domains like drug discovery and micro-chemistry. Emmy Noether award under the AI Initiative call (2022) ERC Starting Grant (2024) Outstanding Paper Award at ICLR 2021 She currently supervises three PhD students and actively recruits postdocs and PhD candidates through the IMPRS-IS and ELLIS doctoral programs. Her group collaborates extensively with the broader machine learning community, organizing workshops like FoRLaC at ICML 2024 and serving as co-chairs for tutorials at major conferences. Dr. Vernade is also deeply committed to diversity and inclusion in machine learning, co-leading initiatives like Women in Learning Theory and Tübingen Women in Machine Learning.

Marco Wilkensمشاهده پروفایل

استاد

• Sustainable Finance
• Climate Finance
• Investment Funds
• +۶ مورد دیگر

Marco Wilkens is a full Professor of Finance and Banking at the University of Augsburg, where he has held his position since 2010. He serves as the head of the Chair of Finance and Banking within the Faculty of Economics (Wirtschaftswissenschaftliche Fakultät). Previously, he was Professor of Finance and Banking at the Catholic University of Eichstätt-Ingolstadt from 2001 to 2010. He has held numerous visiting professorships internationally, including at Queen's University (Canada), Macquarie University (Sydney), and the University of Sydney. Wilkens has served as Dean of the Faculty of Business and Economics at the University of Augsburg from 2019 to 2021. Professor Wilkens' research focuses primarily on Sustainable Finance and Climate Finance, with additional expertise in Investment Funds, Interest Rate Risk, Credit Risk, Risk Management, Bank Management, Valuation of Financial Instruments, and Financial Engineering. His work has evolved significantly toward climate-related financial research over the past decade, with numerous publications on carbon risk, sustainable investment strategies, and climate scenario analysis in banking. He has led several major research projects in sustainable finance funded by organizations including BMBF, Stiftung Mercator, and UBA. His recent publications demonstrate a strong emphasis on the practical applications of sustainable finance, with a particular focus on how investment funds can effectively address climate risk. His work examines carbon risk measurement, portfolio decarbonization effects, climate scenario analysis in banking, and the impact of ESG factors on investment performance. Wilkens has been instrumental in developing frameworks for quantifying transition risks in financial markets, as evidenced by his CARIMA (Carbon Risk Management) project. Impact Award of the LIFE Climate Foundation Liechtenstein (2020) Best Paper Award of the Southwestern Finance Association Conference (2018) Highest Impact Award of the Green Summit in Liechtenstein (2017) Multiple Best Teaching Awards for MBA programs at University of Augsburg (2014-2018) Professor Wilkens has supervised over 25 doctoral students to completion and currently mentors several doctoral candidates. He leads a substantial research team at the Chair of Finance and Banking, including multiple research associates and doctoral candidates. His research is supported by significant third-party funding, particularly in sustainable finance projects. Wilkens serves on numerous advisory boards including the Sustainable Finance Advisory Committee of the Federal Government, the bifa environmental institute, and the Foundation for Science of the Sparkassen-Finanzgruppe. He is a founding member of both the Centre for Climate Resilience and the Sustainable Finance Research Platform.

Sören Dallmeyerمشاهده پروفایل

پژوهشگر

• Sports Economics
• Sports Management
• Physical Activity
• +۱۰ مورد دیگر

Sören Dallmeyer is a researcher at the Institute of Sports Economics and Sports Management, Department of Sports Management, German Sport University Cologne. He holds a doctoral degree and has been actively contributing to research in sports economics and management. His work is centered on the economic dimensions of sport, including injury costs, athlete well-being, and policy evaluation. Institution: German Sport University Cologne Unit: Institute of Sports Economics and Sports Management Department: Department of Sports Management Email: s.dallmeyer@dshs-koeln.de Phone: +49 221 4982-6094 Dr. Dallmeyer's research interests focus on sports economics , cost-benefit analysis in sport , injury financial impact , and resilience in sports organizations . His work often intersects public health, labor economics, and policy, particularly in evaluating how economic interventions affect physical activity and athlete sustainability. The 15 most recent publications reflect a strong trend in analyzing the economic consequences of injuries in professional sports, the impact of crises (e.g., pandemics, natural disasters) on sports clubs, and return on investment in prevention and physical activity programs. Topics span from financial modeling in football to macro-level assessments of sports' societal value. Dr. Dallmeyer has been involved in multiple externally funded projects, including EU Erasmus+ initiatives and evaluations of match-fixing prevention. He collaborates extensively with leading scholars such as Prof. Christoph Breuer and Svenja Feiler. Though no formal advising role is documented, his collaborative output suggests mentorship and team-based research leadership. Bekämpfung der Spielwettbewerbsmanipulation GuV-Analyse von Spitzensportler/innen Erasmus+ Sport: Against-Match-Fixing Return on Investment in physical education, physical activity and sport He has also contributed to public discourse through media appearances, such as the article Gesundheitskosten: Sparmodell Sport (2020), highlighting the cost-saving potential of sport in healthcare. His research fingerprint shows high activity in Physical Activity , Costs , Sponsorship , and COVID-19 impacts.

Martin Nolteمشاهده پروفایل

استاد

• Sports Law
• Legal Governance in Sport
• Anti-Corruption in Sports
• +۷ مورد دیگر

Martin Nolte is a full Professor at the German Sport University Cologne, affiliated with the Institute for Sports Law. He holds a prominent role in legal research related to sports governance, integrity, and public policy. His work bridges constitutional law and sports regulation, with a focus on ethical and legal frameworks in non-profit and professional sports. His research interests include sports law, legal governance in sport, anti-corruption mechanisms, public law applications in sports, and safe sport initiatives. He has led major research projects on preventing match manipulation and developing model codes against interpersonal violence in sport. His work emphasizes regulatory feasibility, institutional accountability, and legal protection for athletes and organizations. The recent publications reflect a strong trend in legal commentary, policy evaluation, and public engagement. Key themes include constitutional law in regional governance, integrity in sports competitions, and the development of normative frameworks for safe and ethical sports environments. His contributions span monographs, legal commentaries, feasibility studies, and public interviews. Scientific engagement includes editorial roles in key publications such as SpoPrax and the Nomos Commentary series, as well as leading publication series through the Institute for Sports Law. He actively collaborates with researchers across disciplines, including sports economics, management, and training science. Martin Nolte has supervised and advised on multiple third-party funded projects, including those focused on sports integrity and discrimination in football. His institutional leadership includes directing publication series and contributing to national discourse through media interviews and expert commentary. He is involved in shaping legal standards through institutional research and policy recommendations. He leads and contributes to the Institute for Sports Law’s research output, which serves as a hub for legal scholarship in sports. His work is closely tied to practical applications in sports policy, often developed in collaboration with external stakeholders and governmental bodies.

Julien Basteمشاهده پروفایل

دانشیار

• Algorithms
• Graph Theory
• Parameterized Complexity
• +۳ مورد دیگر

Julien Baste is an Associate Professor at the University of Lille, France, since September 2020. He teaches computer science at IUT de Lille (Institut Universitaire de Technologie de Lille) and conducts his research as a member of the ORKAD research team within CRIStAL (Centre de Recherche en Informatique, Signal et Automatique de Lille). Dr. Baste's research interests focus on theoretical aspects of computer science, particularly in Algorithms, reductions, graph theory, parameterized complexity, diversity, and multi-objective optimization. His work bridges theoretical foundations with practical applications, especially in optimization problems related to graph structures and computational complexity. An analysis of his recent publications reveals a consistent trajectory in parameterized algorithms and graph theory. His work frequently addresses problems parameterized by treewidth, developing fixed-parameter tractable algorithms for various graph problems. He has made significant contributions to understanding the complexity of graph modification problems, matchings, domination problems, and hitting set problems. His research has increasingly incorporated applications in areas like selective deconstruction and optimization of industrial processes, demonstrating the practical relevance of his theoretical work. Dr. Baste maintains an active research presence through numerous conference participations and collaborations with researchers across Europe. His research profile shows regular publication in top-tier theoretical computer science venues including SODA, IPEC, WG, and various IEEE conferences. The ORKAD research team at CRIStAL provides the institutional context for his ongoing research activities in algorithms and optimization.

Macartan Humphreysمشاهده پروفایل

استاد

• Political Economy of Development
• Governance
• Political Violence
• +۷ مورد دیگر

Macartan Humphreys is the Director of the Research Department Institutions and Political Inequality at the WZB Berlin Social Science Center and holds honorary professorships in social sciences at Humboldt University Berlin and Trinity College Dublin . His work integrates experimental approaches , survey research , and formal theory to address questions in the political economy of development , governance , and political violence . Education: B.A. in history and political science from Trinity College Dublin (1994), M.Phil. in economics from Oxford (2000), Ph.D. in government from Harvard (2003). His research spans causal inference , experimental design , and methodological innovation , with notable contributions to frameworks like MIDA for research design and CausalQueries for Bayesian causal modeling. Recent publications address global vaccine equity , endogenous growth under conflict , and democratic accountability through both quantitative and qualitative lenses . Scientific roles and leadership include membership on the editorial boards of American Political Science Review , Journal of Conflict Resolution , and PSRM , as well as being a founding member of the Evidence in Governance and Politics (EGAP) network and former President of the APSA Experiments section . His field experiments in post-conflict regions like Liberia, Congo, and Aceh have reshaped understanding of aid effectiveness , reintegration programs , and democratic institution-building .

• Machine Learning Theory
• Game Theory
• Information Theory
• +۹ مورد دیگر

Wouter M. Koolen is a Professor of Mathematical Machine Learning at the University of Twente and a Senior Researcher in the Machine Learning group at Centrum Wiskunde & Informatica (CWI) in Amsterdam. Appointed to his professorship on June 1, 2022, he delivers his expertise across both institutions with offices in Enschede and Amsterdam. He is actively engaged in academic leadership through his organization of the Machine Learning Theory Research Semester Programme at CWI in Spring 2023 and serves as an ELLIS Scholar since December 2020. Dr. Koolen's research spans machine learning theory with particular focus on pure exploration in multi-armed bandit models , game tree search algorithms , and provably accelerated learning in both statistical and individual-sequence settings, which he characterizes as 'learning faster from easy data.' His work bridges theoretical foundations with practical applications, especially in safe statistical testing using e-values. He maintains active collaborations through INRIA-CWI associate teams 6PAC with Inria Lille and 4TUNE with Inria Paris and Grenoble. His recent publications reveal a strong emphasis on developing theoretically sound methods for statistical inference that maintain validity under optional stopping and continuation, representing a significant shift from traditional p-value based approaches. This work has important implications for fields requiring rigorous statistical guarantees in adaptive experimental settings. NWO VENI grant recipient QUT Vice-Chancellor's postdoctoral research fellowship awardee ELLIS Scholar (elected December 2, 2020) Member of ACM Future of Computing Academy Professor Koolen has supervised numerous PhD students to completion, including Hongwei Wen, Clément Lezane, and Tyron Lardy in 2025, and formerly Rianne de Heide who won the VVSOR Willem R. van Zwet award. He has served on program committees for major conferences including COLT, ICML, and ALT, and actively organizes workshops on cutting-edge topics in machine learning theory. His research group at CWI hosts regular reading groups and seminar series, fostering a vibrant theoretical machine learning community in the Netherlands.

• Theoretical Computer Science
• Algorithms
• Parameterized Complexity
• +۵ مورد دیگر

Yang Liu is a computer scientist specializing in theoretical computer science, particularly in the design and analysis of parameterized and exact algorithms. He has been affiliated with institutions such as Texas A&M University and has collaborated extensively with researchers like Jianer Chen and Songjian Lu. His work primarily focuses on NP-hard graph problems, including feedback vertex set, multiway cut, matching, and packing, where he has contributed improved fixed-parameter tractable algorithms and kernelization techniques. His research lies at the intersection of algorithms, complexity theory, and combinatorics. Key areas include: Fixed-parameter tractability (FPT) Kernelization and measure-and-conquer methods Graph partitioning and structural graph theory Randomized and deterministic exact algorithms Algebraic methods in polynomial testing His publications in top journals such as Journal of the ACM , Algorithmica , and Theoretical Computer Science demonstrate a consistent contribution to foundational algorithmic research. The article trends show a strong focus on solving hard combinatorial problems through novel algorithmic frameworks, often improving time complexity or kernel bounds. Notable scientific contributions include: A landmark 2008 JACM paper proving that the Directed Feedback Vertex Set problem is fixed-parameter tractable. Improvements in kernel sizes for feedback vertex and packing problems. Applications of color-coding and iterative expansion in 3D-matching. While no explicit information about advisees or grants is available, his long-term collaboration network suggests a role in mentoring and team-based research. He has not been associated with any lab or research center in the provided data.

• Combinatorial optimization
• Graph theory
• Discrete mathematics
• +۳ مورد دیگر

Cédric Picouleau is a Professor affiliated with the CEDRIC Laboratory at the Conservatoire National des Arts et Métiers (CNAM) in Paris. His research focuses on combinatorial optimization, graph theory, discrete tomography and scheduling, with sustained publication activity from 1994 through 2025. Education: Specific degrees and graduation years are not listed in the available sources. Research interests: Professor Picouleau’s work spans theoretical and applied aspects of graph theory (dominating sets, matchings, graph partitioning, Hamiltonian cycles), discrete tomography (reconstruction of binary matrices and polyominoes), combinatorial optimization (blockers & transversals, degree-constrained problems), and transportation modelling (railway delay prediction). He investigates complexity classifications, designs exact and parameterized algorithms, and studies minimal or extremal graph structures. Publication trends: Recent articles (2018-2025) concentrate on matching-cut and dominating-set complexity, diameter-constrained graph modifications, minimal graph constructions for Hamiltonian & 2-factor extensions, and statistical modelling of train delays. His output appears in journals such as Journal of Graph Theory , Theoretical Computer Science , Discrete Applied Mathematics , and Annals of Operations Research . Scientific awards: No awards, fellowships or honours are mentioned in the supplied material. Students & grants: No list of supervised PhD/Master’s students or specific grant details are provided in the sources. Labs & teams: He is a member of the CEDRIC Laboratory within CNAM, participating in the “Combinatorial Optimization” research axis and regularly collaborates with co-authors from CNAM and other French and international institutions.

Eva Dettmannمشاهده پروفایل

پژوهشگر

• Regional Policy
• Innovation Policy
• Economic Policy Evaluation
• +۱ مورد دیگر

Dr. Eva Dettmann serves as Deputy Head of the Centre for Evidence-based Policy Advice (IWH-CEP) at the Halle Institute for Economic Research (IWH), a Leibniz Association member. Since joining IWH in 2002, she has led research on microeconometric policy evaluation, focusing on regional and innovation policies. Education: Diploma in Economics, Martin Luther University Halle-Wittenberg Doctoral Degree in Economics, Martin Luther University Halle-Wittenberg Her primary research areas include the empirical evaluation of regional and innovation policies, the efficiency of economic policy measures, and applied microeconometrics. She specializes in causal inference methods to assess the impact of public interventions, particularly investment grants and innovation subsidies, on economic outcomes at regional and firm levels. Her publication record reveals a consistent focus on policy evaluation using advanced econometric techniques. Recent work employs regression discontinuity, staggered difference-in-differences, and matching methods to study the effects of place-based policies and innovation subsidies. Key themes include employment effects, firm performance, and long-term regional development, with a strong emphasis on German regional data. While specific details on doctoral students are not provided, her role in IWH-CEP involves leading policy evaluation projects that likely secure external research funding. The centre's work is instrumental in shaping evidence-based economic policy. As Deputy Head of IWH-CEP, Dr. Dettmann is part of a dedicated team that utilizes administrative and regional data to produce rigorous evaluations of economic policies, providing crucial insights for policy makers.

Fahad Panolanمشاهده پروفایل

مدرس

• Parameterized Algorithms and Complexity
• Graph Theory and Graph Algorithms
• Approximation Algorithms
• +۷ مورد دیگر

Fahad Panolan is a Lecturer in the Algorithms and Complexity group at the School of Computing, University of Leeds, UK, a position he has held since August 2023. Prior to this, he was an Assistant Professor in the Department of Computer Science and Engineering at IIT Hyderabad, India, from July 2019 to August 2023. He conducted postdoctoral research at the Department of Informatics, University of Bergen, Norway, between 2016 and 2019. Education: PhD in Theoretical Computer Science, The Institute of Mathematical Sciences, HBNI, Chennai, India (2012–2015) MSc in Theoretical Computer Science, The Institute of Mathematical Sciences, HBNI, Chennai, India (2010–2012) Master of Computer Applications, National Institute of Technology, Calicut, India (2006–2009) BSc in Physics, DGM MES Mampad College, University of Calicut, India (2002–2005) His research lies at the intersection of theoretical computer science and algorithm design, with core interests in Parameterized Algorithms and Complexity , Graph Theory , Approximation Algorithms , and Streaming Algorithms . He has made significant contributions to kernelization, matroid-based techniques, and the development of subexponential-time algorithms for NP-hard graph problems. His work often bridges structural graph theory with algorithmic efficiency, particularly on sparse and geometric graphs. The recent publications show a strong trend in advancing the frontiers of fixed-parameter tractability, including efficient kernelization, approximation schemes for matrix problems, and reconfiguration algorithms. His work frequently appears in top-tier venues such as STOC, SODA, ICALP, and journals like JACM and Algorithmica. Scientific Service: PC Member: WALCOM 2026, IPEC 2023, ESA 2022, IPEC 2021, AAAI 2021 Scientific Coordinator: Parameterized Complexity 201 Workshop Referee for journals including TALG, SIDMA, TCS, Algorithmica, and conferences like STOC, SODA, ICALP, ESA. Fahad Panolan advises PhD students and interns, including Shubhada Suresh Aute and Seshikanth Varma. He has secured research grants through collaborative projects and has delivered invited talks at international workshops and seminars, including Dagstuhl, DIMAP, and Parameterized Complexity workshops. He has taught courses such as Algorithms, Design and Analysis of Algorithms, and Parameterized Algorithms at both University of Leeds and IIT Hyderabad. He is actively involved in the parameterized complexity and algorithms research community, organizing workshops and contributing to the theoretical foundations of efficient computation on hard problems.

Philipp Kindermannمشاهده پروفایل

دانشیار

• Graph Drawing
• Graph Algorithms
• Computational Geometry
• +۷ مورد دیگر

Philipp Kindermann is an Associate Professor in the Department of Computer Science at the University of Trier, Germany, where he leads the Algorithmics team within the Faculty of Mathematics and Computer Science. He holds a PhD from the University of Würzburg and has held academic positions at the University of Waterloo, FernUniversität in Hagen, and Universität Passau. His research is centered on theoretical and applied aspects of graph algorithms, computational geometry, and graph drawing. Research Interests: His work focuses on graph drawing, geometric graph algorithms, planarity, parameterized complexity, and combinatorial optimization. He investigates algorithmic solutions for visualizing graphs with geometric constraints, including rectilinear drawings, layered layouts, and contact representations. His research also extends to computational complexity of graph problems, especially in beyond-planar graph classes. Publication Trends: His recent publications (2022–2024) show a strong emphasis on parameterized algorithms, planarity variants (upward, orthogonal), geometric representations (rectangle contacts, tangles), and algorithmic challenges in graph drawing. His work frequently appears in top venues such as GD, ISAAC, SOFSEM, and Algorithmica, reflecting sustained contributions to theoretical computer science and visualization. Special Issue Editor, Journal of Graph Algorithms and Applications (JGAA) Special Issue Editor, Computational Geometry: Theory and Applications (CGTA) Steering Committee Member, WG (2025–2028) Program Committee Chair, WG 2025 and EuroCG 2020 PC Member for GD, WALCOM, PacificVis, SOFSEM, IWOCA, and others Organizer of ISSEP 2025, WG 2025, IWOCA 2022, EuroCG 2020, GD 2014 Workshop Organizer: Dagstuhl Seminar (2026), GGWeek 2024, PhD Schools Member of PACE Challenge Steering Committee (since 2024); PC Chair PACE 2024 Advisory Committee, Computational Geometry Challenge (since 2020) Graph Drawing Contest Committee (2015–2023), Chair (2018–2022) Philipp Kindermann actively contributes to the academic community through editorial work, conference leadership, and organizing competitive events in algorithmics and visualization. He collaborates extensively with researchers across Europe and North America. He teaches courses such as Algorithms and Data Structures, Algorithms for Programming Contests, and Advanced Algorithms. He maintains an active research lab focused on geometric and graph-theoretic problems, fostering innovation in algorithm design and visualization techniques.