Find Academic Supervisors

Thomas EfferthView profile

Professor

• Molecular Pharmacology
• Cancer Research
• Infectious Diseases
• +5 more

Thomas Efferth is Full Professor and Director of the Institute of Pharmaceutical and Biomedical Sciences at Johannes Gutenberg University Mainz, Germany. He leads the Department of Pharmaceutical Biology, specializing in molecular pharmacology and drug discovery. His research spans cancer therapeutics, infectious diseases, and traditional Chinese medicine, with a strong focus on artemisinin and natural products. Education includes a PhD from the German Cancer Research Center (1990) and habilitation from RWTH Aachen University (1997). Professional positions include research leadership at the German Cancer Research Center (2005), associate professorship at Heidelberg University (2007), and his current role since 2009. Research interests integrate systems biology approaches with: Molecular mechanisms of anticancer drugs Bioinformatic pharmacology for personalized medicine Artemisinin repurposing for cancer/viral infections Toxicological profiling of natural products Publications demonstrate strong focus on phytomedicine, antiviral therapies, and cancer drug resistance. Awards and honors include: Qihuang International Award (2017) World Academy of Sciences membership (2018) Stanford Top 2% Scientist citation ranking (2020) Dr. Wilmar Schwabe Award (2006) Multiple honorary professorships in China/Hong Kong Editorial leadership includes Editor-in-Chief roles for Phytomedicine and board memberships in 20+ journals. Society roles feature vice-presidency of the Specialty Committee on Immunology of TCM and executive positions in IUPHAR and DPhG.

• Behavioural Economics
• Evolutionary Game Theory
• Social Networks
• +5 more

Friederike Mengel is a Professor of Economics at the University of Essex and holds a Visiting Professorship at Erasmus University Rotterdam. She is also a Fellow of the Academy of Social Sciences (UK). Her research focuses on Behavioural Economics , integrating Game Theory , Evolutionary Dynamics , and Social Network Analysis . Key research themes include social influence in networks , opinion dynamics , emergence of social norms , and links between social identity, bounded rationality, and discrimination . Recent work explores Covid-19 impacts on productivity and innovation in hybrid work environments . Her scientific awards include the Best Paper Award from Quantitative Economics (2018) and recognition as an Academy of Social Sciences Fellow. Her publications span topics like cooperation in viscous populations , strategic behavior in repeated games , and gender bias in opinion aggregation , with media coverage in outlets like The Economist and Financial Times .

Marc FischerView profile

Professor

• Marketing Performance Management
• Marketing Analytics
• Marketing Mix Optimization
• +4 more

Prof. Marc Fischer is a Professor of Marketing Science and Analytics at the University of Cologne, holding the Morrison Faculty Fellowship at UCLA Anderson School of Management. His research focuses on marketing performance management, analytics, and brand strategy. He has held academic roles at institutions including the University of Technology Sydney and the University of Passau. His work bridges theoretical and applied marketing, with contributions to firm value optimization, dynamic pricing, and healthcare marketing. Education and Career: 2011–current: Full Professor at University of Cologne 2014–2020: Senior International Faculty at UTS Business School 2007–2010: Professor at University of Passau 2003–2007: Assistant/Associate Professor at Christian-Albrechts-University Kiel 2002–2003: Visiting Scholar at UCLA 2001–2002: Consultant at McKinsey & Company Research Interests: Prof. Fischer explores how marketing strategies impact firm value and brand equity. His work emphasizes marketing analytics, including econometric modeling of brand performance, advertising effectiveness, and cross-country marketing dynamics. He also investigates healthcare marketing, particularly in prescription drug markets and physician-patient interactions. Key Contributions: His research has been recognized with awards such as the VHB Best Paper Award and multiple nominations for the Paul E. Green Award. Notable articles include studies on brand leverage potential (Management Science, 2024) and corporate social irresponsibility (Journal of Marketing, 2020). Service and Leadership: Co-leads the Key Research Initiative “Analytics and Transformation” at Cologne CEMS Academic Director (global alliance of 34 business schools) Member of the Rector’s Advisory Commission on Bonus Systems, University of Cologne Advisory Board Member of Analyx GmbH and the Marketing Accountability Standards Board (MASB) Labs and Collaborations: Active in interdisciplinary projects like the HPDnet Emerging Group (healthcare networks for pediatric care), funded by the DFG. Collaborates with institutions such as UCLA, the University of Bonn, and multinational corporations through CEMS.

Barbara DrosselView profile

Professor

• Complex Systems Theory
• Theoretical Ecology
• Random Boolean Networks
• +7 more

Barbara Drossel is a Full Professor at the Institute of Solid State Physics within the Faculty of Physics at the Technical University of Darmstadt, where she has been conducting research since February 2002. Her work bridges theoretical physics, complex systems theory, and theoretical ecology, focusing on interdisciplinary approaches to understanding emergent phenomena in natural systems. She leads the AG Drossel research group that investigates the theoretical foundations of complex networks, ecological communities, and quantum systems. Professor Drossel's research spans multiple domains with emphasis on complex systems theory, where she has made significant contributions to understanding random Boolean networks, food web modeling, and the physics of ecological communities. Her work demonstrates how simple rules can lead to complex emergent behavior across different scales, from quantum systems to ecological networks. She investigates how top-down causation operates in complex systems and explores the relationship between microscopic dynamics and macroscopic patterns in diverse contexts. Analysis of her recent publications reveals a consistent focus on theoretical frameworks that connect physics with ecology. Her work shows increasing integration of quantum mechanics with ecological modeling, particularly in understanding emergence and time evolution in complex systems. She frequently employs network theory to analyze ecological communities and has developed innovative approaches to studying species interactions, mutualistic networks, and spatial dynamics in meta-communities. Minerva Fellowship Heisenberg Fellowship DFG Fellowship for research at MIT Professor Drossel has supervised numerous doctoral students whose work spans theoretical ecology, complex systems, and statistical physics. Her research group has secured funding for projects examining the stability of ecological networks, quantum decoherence, and the mathematical foundations of complex systems. She maintains active collaborations with researchers across Europe and has contributed to major theoretical advances in understanding how complexity emerges from simple interactions in diverse systems. The AG Drossel research group operates at the intersection of physics and theoretical biology, maintaining strong connections with both the physics and biology departments at TU Darmstadt. The group combines mathematical rigor with biological relevance, developing models that capture essential features of complex natural systems while remaining analytically tractable. Their work has influenced both theoretical physics and ecological theory, demonstrating the power of interdisciplinary approaches to complex systems.

Cornelia WrzusView profile

Professor

• Personality Development
• Socio-Emotional Development
• Aging
• +3 more

Cornelia Wrzus is a Professor at Ruprecht-Karls-Universität Heidelberg, leading the Psychological Aging Research group. Her work focuses on socio-emotional and personality development across adulthood and old age, with an emphasis on longitudinal studies and real-time data collection methods like Ecological Momentary Assessments (EMA). Email: cornelia.wrzus@psychologie.uni-heidelberg.de Phone: +49 6221 54-8110 Office: Room 032, Bergheimer Straße 20, 69115 Heidelberg Her research explores how personality traits interact with social situations and life events, using frameworks such as TESSERA to model developmental processes. Current projects are detailed on her lab’s website, with publications accessible via ResearchGate and Google Scholar. Wrzus’s recent articles highlight interdisciplinary methodologies and the role of compliance in EMA studies, aging-related stress reactivity, and the coupling of daily life processes with trait development. Her work spans personality psychology, social science, and behavioral research. She maintains an open-science approach through her OSF profile, which hosts preregistrations, materials, and scripts for ongoing projects.

• Middle Eastern Politics
• Political Islam
• Comparative Politics
• +5 more

Prof. Dr. Rachid Ouaissa serves as University Professor and Head of the Department of Middle Eastern Politics at the Center for Near and Middle Eastern Studies (CNMS), Philipps University of Marburg since March 2009. He concurrently holds affiliations with the Center for Interdisciplinary Religious Studies and Center for Conflict Research at the same institution, and maintains active roles in Berlin-based research networks including EUME and the Wissenschaftskolleg zu Berlin. His academic formation includes a PhD from the University of Leipzig (2004) supervised by Prof. Hartmut Elsenhans, preceded by undergraduate studies at Martin-Luther-Universität Halle-Wittenberg (1994-1999) where he received the DAAD-Preis in 1997. His scholarly trajectory includes a Visiting Scholarship at Dalhousie University (2008) and prior research positions at the University of Leipzig. Ouaissa's research program centers on Middle Eastern and North African political dynamics with four interconnected pillars: cultural-identitarian political movements (comparing BJP in India and Algerian parties), moderate Islamist parties as potential EU partners, state-class behavior during resource scarcity (Iraq case study), and fundamentalist movement development (FIS in Algeria vs. Mahdia in Sudan). His conceptual innovation emphasizes blocked middle classes mobilizing religious identity to challenge state power, while his recent work develops 're-configuration' frameworks for understanding post-Arab Spring transformations. His publication trajectory from 1999-2021 reveals evolving scholarly priorities: early work focused on Algerian state formation and political Islam, shifting toward comparative cultural-identitarian movements (2007-2009), then moderate Islamist parties' foreign policy (2009-2012), with contemporary research addressing Hirak protests and theoretical re-configuration models. The corpus demonstrates consistent engagement with Algeria while expanding to regional comparative frameworks, particularly through co-edited volumes on Maghreb entanglements and MENA transformation processes. His scientific recognition includes: DAAD-Preis der Martin-Luther-Universität (1997) Friedrich-Ebert-Stiftung PhD Fellowship (2000-2002) Friedrich-Ebert-Stiftung Scholarship (1998-1999) Professor Ouaissa has secured major research funding including two German Research Foundation (DFG) projects: 'New Cultural-Identitarian Political Movements' (2007-2009) and 'Moderate Islamist Parties as EU Partners' (2009-2012). He actively mentors emerging scholars through the Friedrich-Ebert-Stiftung's doctoral programs and serves on its selection committees, while his policy engagement manifests through frequent media contributions analyzing Algerian protests and regional dynamics for outlets including Le Monde, El Watan, and Deutsche Welle. He leads the Department of Middle Eastern Politics at CNMS while contributing to the university's interdisciplinary research infrastructure through the Center for Interdisciplinary Religious Studies and Center for Conflict Research. His international scholarly integration is evidenced by co-editing the book series 'Politik und Gesellschaft des Nahen Ostens' and 'Studien zur Geschichte und Zeitgeschichte Westasiens und Nordafrikas', alongside editorial leadership of the journal META (Middle East Topics and Arguments).

Dmitriy TraytelView profile

Associate Professor

• Logic
• Automata Theory
• Runtime Verification
• +7 more

Dmitriy Traytel is an Associate Professor at the University of Copenhagen's Department of Computer Science since August 2020, where he currently heads the Software, Data, People & Society (SDPS) section. Prior to this position, he worked as a senior researcher (Oberassistent) in the Information Security Group led by David Basin at ETH Zürich. He completed his PhD at TU München under Tobias Nipkow's supervision in 2015. His research focuses on formal methods, particularly logic, automata theory, runtime verification and monitoring, decision procedures, (co)induction and (co)recursion, and interactive theorem proving. Traytel develops formally verified tools for runtime monitoring including VeriMon, TimelyMon, and WhyMon, emphasizing correctness and efficiency in monitoring complex temporal properties. His recent publications (2021-2025) demonstrate a strong focus on first-order temporal logic monitoring, with particular attention to explainable verdicts, scalable parallel implementations, and formal verification of monitoring algorithms. The work spans theoretical foundations in logic and category theory while maintaining practical applications in runtime verification systems. Distinguished Paper Award at POPL 2025 for 'Barendregt Convenes with Knaster and Tarski' Best Student Paper Award at FSCD 2016 Distinguished Paper Award at ATVA 2018 Traytel has supervised numerous PhD, Master's, and Bachelor's students in areas spanning formal verification, runtime monitoring, and theorem proving. His research has been supported through collaborations with major institutions including ETH Zürich and TU München. He actively contributes to the academic community by serving on program committees for major conferences including ITP 2025 and RV 2025. He leads the Software, Data, People & Society section at the University of Copenhagen, focusing on developing formally verified tools for runtime verification that bridge theoretical computer science with practical applications in security and system monitoring.

Stefano NoventaView profile

Research Fellow

• Mathematical Psychology
• Psychometrics
• Psychophysics
• +7 more

Stefano Noventa is a Research Fellow at the Methods Center, Department of Social Sciences, Faculty of Economics and Social Sciences, University of Tübingen. He has held multiple postdoctoral positions at the University of Tübingen and previously at the University of Verona and the University of Padova. Education: Ph.D. in Cognitive Psychology, University of Padova (2011) M.Sc. in Physics, University of Padova (2006) Studies in Physics, University of Padova (1999–2006) International Visiting Graduate Student, University of Toronto (2009, 2010) Dr. Noventa's research lies at the intersection of mathematical psychology, psychometrics, and psychophysics, with a focus on developing and unifying quantitative models of human cognition and assessment. His work integrates Item Response Theory (IRT) and Knowledge Space Theory (KST) to create more robust frameworks for educational and psychological measurement. He investigates latent variable models, probabilistic knowledge structures, and the identifiability of complex psychometric models, often applying these to domains such as education, organizational psychology, and entrepreneurship. His recent publications (2020–2024) demonstrate a strong trend toward theoretical integration, particularly in bridging cognitive diagnosis models with traditional psychometric frameworks. The articles emphasize mathematical rigor, model generalization, and empirical validation, with applications in both cognitive science and applied psychology. Topics include the unification of assessment models, parameter estimation under local dependence, and the modeling of intuitive physical reasoning. Scientific Awards: No awards or honors listed in the provided text. Dr. Noventa has not been explicitly mentioned as an advisor to students, but he has served as a corresponding author and collaborator on multiple research projects, indicating a leadership role in research teams. He has been involved in a DFG-funded project (GLI NON-NORM) since 2019, suggesting active grant participation. His work is highly collaborative, involving researchers from Germany, Italy, Austria, and Canada. Labs and Research Groups: Methods Center, University of Tübingen Hector Institute of Education Science and Psychology, University of Tübingen Center of Assessment, University of Verona Department of General Psychology, University of Padova

Sebastian StichView profile

Professor

• Optimization for Machine Learning
• Federated Learning
• Distributed Learning
• +7 more

Sebastian Stich is a tenured faculty member at the CISPA Helmholtz Center for Information Security , where he leads research in Trustworthy Information Processing . He has been a tenure-track faculty since 2021 and was promoted to tenured professor in 2025. He is also a member of the European Lab for Learning and Intelligent Systems (ELLIS) . Education: PhD in Computer Science, ETH Zurich (2010–2014) MSc and BSc in Mathematics, ETH Zurich (2005–2010) Research Scientist, EPFL (2016–2021) Research at CORE/ICTEAM, UCLouvain (2014–2016) His research centers on optimization for machine learning , with a focus on federated, decentralized, and distributed learning . He investigates methods for communication efficiency , adaptive stochastic optimization , privacy-preserving training , and generalization theory . His work bridges theoretical guarantees with practical scalability. His recent publications (2023–2025) consistently address gradient compression , error feedback , local updates , and decentralized consensus , demonstrating a strong trend toward making distributed learning more efficient, robust, and scalable—especially under heterogeneous data and limited bandwidth. Scientific Awards: ERC Consolidator Grant 2024 (CollectiveMinds) Google Research Scholar Award (2023) Meta Privacy-Enhancing Technologies Research Award (2022) Sebastian Stich actively advises PhD students and postdocs, including Anton Rodomanov , Xiaowen Jiang , and Yuan Gao . He has secured competitive grants such as the ERC CollectiveMinds project, supporting collaborative research on scalable federated learning. He teaches advanced courses at Saarland University and serves as an area chair for NeurIPS, ICML, and ICLR. He leads a research group at CISPA focused on trustworthy and efficient machine learning systems , contributing to both foundational theory and real-world applications in privacy and security.

• Soil Biogeochemistry
• Carbon Cycling
• Mineral-Soil Interactions
• +3 more

Dr. Marion Schrumpf is a Group Leader in the Soil Biogeochemistry research group at the Max Planck Institute for Biogeochemistry, affiliated with the Department of Biogeochemical Processes. Her work focuses on soil carbon dynamics, mineral-organic matter interactions, and climate change impacts on soil systems. Research areas: Soil biogeochemistry, carbon cycling, mineral-soil interactions, nutrient stoichiometry, microbial ecology, and climate modeling. Email: mschrumpf@... Phone: +49 3641 57-6182 Office: B2.015 Her recent publications address themes like mineral control over soil carbon stabilization, drought effects on soil processes, microbial stoichiometric adaptation, and the Jena Soil Model's role in simulating carbon-nutrient interactions. She leads efforts to disentangle the complex relationships between land use, mineralogy, and soil organic matter turnover across diverse ecosystems.

Christoph BenzmüllerView profile

Professor

• Automated Theorem Proving
• Computational Metaphysics
• Artificial Intelligence
• +5 more

Prof. Christoph Benzmüller is a Full Professor at the University of Bamberg (Chair for AI Systems Engineering) and an adjunct professor at Freie Universität Berlin's Department of Mathematics and Computer Science. He is a leading researcher in automated reasoning, computational metaphysics, and formal logic systems. His work focuses on integrating higher-order logic into AI to achieve transparent and ethically grounded systems. Research Interests: His research spans automated theorem proving, formal ontologies, and normative reasoning in AI. Notably, he has formalized Gödel's ontological argument using computational methods and developed the Leo theorem provers for higher-order logic. He emphasizes the use of symbolic reasoning for ethical and legal AI frameworks. Grants & Projects: He leads projects like PetraKIP (AI portfolios for teacher education) and NFDIxCS (National Research Data Infrastructure). His work is funded by DFG, EPSRC, and the Volkswagen Foundation. He also collaborates with institutions globally, including Stanford and Cambridge. Awards: Recipient of the Central Teaching Award (FU Berlin) for his Computational Metaphysics course and a DFG Heisenberg Fellowship. His research on Gödel's argument gained international media attention. Education: Studied at Saarland University, where he earned his PhD (1999) and habilitation (2006).曾是专业长跑运动员，后转向学术研究。

Matthias ArmgardtView profile

Professor

• Global Legal History
• Legal Logic
• Computational Legal Theory
• +6 more

Prof. Dr. Matthias Armgardt holds the Nucleus Professorship for Global Legal History and Civil Law as well as Computational Legal Theory at the Faculty of Law, University of Hamburg . His work focuses on interdisciplinary fundamental research at the intersection of history, logic, philosophy, and legal reasoning. Historical perspective: Comparative study of ancient Jewish, Greek-Hellenistic, and Roman law Logical perspective: Development of computational legal theory using formal logic and AI Philosophical perspective: Analysis of Leibniz's legal philosophy Legal perspective: Critique of German civil law with comparative methods His research includes collaborations with Harvard Law School, European University Institute, and University of Bologna. Key projects: CISAL (Center for Ancient Legal History) and LLCA (Legal Logic, Computational Law, and AI project). He organizes summer schools on Law and Logic with institutions like the European University Institute.

• Psychometrics
• Log Data Analysis
• Missing Data Methods
• +4 more

Prof. Dr. Steffi Pohl holds the Chair of Methods and Evaluation/Quality Assurance at the Faculty of Education and Psychology, Freie Universität Berlin since 2019. Previously, she was a Junior Professor (2013-2019) and researcher at institutions including Friedrich-Schiller University Jena and University of Bamberg. She earned her PhD in Psychometrics from Friedrich-Schiller University Jena (2010) and holds a Diplom in Psychology (2004) from Freie Universität Berlin. Her research focuses on advanced statistical methods in educational and psychological testing, including response time modeling, missing data mechanisms, and causal inference in assessment. She has pioneered work on test engagement detection via response patterns and log数据分析. Awards include the 2020 Psychometric Society Early Career Award and 2011 Gustav A. Lienert Dissertation Prize. Pohl serves on editorial boards of Psychometrika , Journal of Educational and Behavioral Statistics , and Zeitschrift für Psychologie . She chairs the Berlin School of Mind and Brain faculty and holds governance roles in academic senates. Her research projects include the National Educational Panel Study (NEPS) and collaborations on test design innovations. Current teaching includes advanced courses in empirical research methods, multivariate statistics, and educational measurement. She actively develops methodologies for analyzing log数据 from digital testing platforms and improving assessment reliability in large-scale studies.

Stephan SchiemannView profile

Professor

• Sports Science
• Health Sciences
• Physical Education
• +4 more

Prof. Dr. Stephan Schiemann is a faculty member at Leuphana University of Lüneburg specializing in Sports Science and Health Sciences . With over 122 publications and active research in physical education, strength training, and rehabilitation, his work focuses on biomechanics, muscle adaptation, and digital health interventions. Key Research Areas: Strength training, flexibility protocols, youth athlete development, inclusive sports, and digital health applications Projects: KITA GUT & GESUND, RoBaTaS (Rollstuhlbasketball), HeaLinGo (health-language integration) Research Trends Recent publications analyze: Strength-performance correlations across sports (basketball, cross-country skiing) Long-term stretching effects on muscle hypertrophy Measurement error differentiation in ultrasound diagnostics Comparative training methods for plantar flexors His work bridges theoretical development with practical applications in school sports and rehabilitation.

• Machine Learning
• Domain Adaptation
• Transfer Learning
• +3 more

Dr. Sinno Jialin Pan is a leading researcher in machine learning and artificial intelligence at Nanyang Technological University, Singapore. His work focuses on domain adaptation, sentiment analysis, and efficient neural network optimization. Key research areas: Machine Learning, Domain Adaptation, Reinforcement Learning, Sentiment Analysis Recent publications demonstrate expertise in time-series classification (2025) using hierarchical domain adaptation, LLM efficiency (2025) through expert pruning, and graph generation (2024) via spectral diffusion. His work spans both theoretical advancements and practical applications in neural architecture optimization and adversarial learning. Scientific contributions include: 2025: Virtual-label hierarchical domain adaptation 2024: Spectral diffusion for graph generation 2024: Multilingual jailbreak analysis in LLMs Current trends show increasing focus on large language model optimization and robust neural architectures , with applications in fault diagnosis, recommender systems, and misinformation detection.