Find Academic Supervisors

Dominik GöddekeView profile

Professor

• Numerical Analysis
• High Performance Computing
• Computational Science and Engineering
• +5 more

Professor Dominik Göddeke is a Full Professor of Computational Mathematics at the University of Stuttgart, leading the Institute of Applied Analysis and Numerical Simulation. He concurrently serves as Vice Dean for Mathematics and co-spokesperson of the MaRDI consortium under the National Research Data Initiative. His expertise spans numerical methods for partial differential equations, high-performance computing, and hardware-oriented algorithm design. Education: PhD in Mathematics (2010) and Diplom in Computer Science (2004) from TU Dortmund. He has held academic positions at TU Dortmund (2011–2015) and the University of Stuttgart since 2015. His research focuses on scalable parallel algorithms, fault-tolerant computing, and interdisciplinary applications in geophysics and biomedical engineering. Research interests include GPU computing, domain decomposition methods, and green computing. His work emphasizes practical implementation techniques and software frameworks for large-scale simulations. Recent projects include the OpenDiHu framework for neuromuscular systems and preconditioners for Stokes-Darcy problems. His awards reflect teaching excellence and research impact, including the 2020 Digital Teaching Award and multiple best paper accolades. He actively contributes to international conferences and serves on editorial boards for computational science journals. Labs/Teams: Director of the Institute of Applied Analysis and Numerical Simulation, affiliated with the Stuttgart Centre for Simulation Sciences and the Cluster of Excellence for Data-Integrated Simulation Science.

Karina KarstView profile

Associate Professor

• Educational Research
• Teacher Training
• Data-Driven School Development
• +5 more

Karina Karst is an Associate Professor for Profession and School Research at the University of Mannheim’s Faculty of Social Sciences. Her work focuses on data-driven school development, teacher diagnostics, and addressing heterogeneity in educational contexts. She leads the working group Professions and School Research , which bridges theory and practice through collaborations with schools and educational institutions. Co-leads the HEAT project (2016–2021) on evidence-based teacher professionalization Developed the sMArt² project (2019–2021) to reduce student dropouts via self-reflection tests Active in the nationwide CHANCES network for schools facing structural disadvantages Her research explores how teachers’ stereotypes and assessment criteria impact student outcomes, particularly for those from low socioeconomic or migrant backgrounds. She integrates findings into teacher training programs, emphasizing practical application of scientific knowledge. Karst’s team collaborates with the Psychological Methods and Diagnostics Working Group and coordinates regional SchuMaS centers for practical educational support. Her teaching includes modules on heterogeneity, diagnostics, and evidence-based practices.

Filippo De BortoliView profile

Academic

• Description Logic
• Computational Complexity
• Knowledge Representation
• +3 more

Filippo De Bortoli is a Research Associate at the Chair of Automata Theory , Technische Universität Dresden , and a team member at the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) since 2022. His work focuses on Description Logics with numerical constraints, concrete domains, and expressive power analysis. Education: Master's degree in Computer Science from TU Dresden (2019) Research Interests: He investigates the complexity and expressiveness of Description Logics extended with numerical constraints, concrete domains, and cardinality restrictions. His studies cover decidability boundaries, bisimulation characterizations, and algorithm design for scalable reasoning. At ScaDS.AI, he contributes to algorithm optimization and knowledge graph applications. Publication Trends: His recent works (2025–2019) address the integration of concrete domains and cardinality constraints in Description Logics, analyzing complexity (ExpTime-complete), expressive power beyond first-order logic, and practical implementations using SAT-based column generation. Collaborations: Works with leading researchers like Prof. Franz Baader , Stefan Borgwardt, and Patrick Koopmann. Associated with projects RTG 1763 QuantLA (2019–2022) and ScaDS.AI (2022–present).

Sergei ObiedkovView profile

Researcher

• Data Analysis
• Formal Concept Analysis
• Knowledge Representation
• +2 more

Sergei Obiedkov is a Research Associate at TU Dresden's International Center for Computational Logic. His research focuses on data analysis, artificial intelligence, and algorithmic aspects of formal concept analysis (FCA) for knowledge representation. He develops methods for FCA, ontology completion, and computational logic applications. Previously held positions include Associate Professor at HSE University (Moscow) and researcher at University of Pretoria. He holds a PhD in Theoretical Computer Science and degree in Theoretical and Applied Linguistics. Research publications cover formal concept analysis applications in argumentation frameworks, association rule mining, and language learning corpus development. Recent work integrates conceptual knowledge structures with machine learning approaches.

Gina AtzeniView profile

Professor

• Sociology of Professions
• Medical Ethics
• Social Theory
• +4 more

Dr. Gina Atzeni is a sociologist affiliated with Ludwig Maximilian University of Munich (LMU) and currently serves as Acting Professor for Theory Formation and Social Cohesion at the University of Münster. She holds a PhD in Sociology (2015) and has been a research associate at LMU since 2011. Her work focuses on medical professionalism, ethics in healthcare, and sociological theory, particularly Max Weber’s legacy. She has organized major academic events like the Munich Theory Talks and served on ethics committees, including the LMU Medical Faculty Ethics Committee since 2019. Her research explores professional narratives, interprofessional collaboration in healthcare, and the societal role of religious discourse in bioethics. Education: PhD in Sociology (LMU, 2015) Diploma in Sociology (LMU, 2007) Studies in Psychology and Education (LMU, 2001–2007) Research Interests: Professional sociology, medical ethics, social theory, interprofessional collaboration, sociology of religion, and ethical governance in healthcare. Her monograph Professional Expectation Management (2016) won the German Sociological Association’s Dissertation Prize. Recent Contributions: Her 2022 work on Max Weber’s theory of action and gender debates in theology exemplify her interdisciplinary approach. She also co-authored influential studies on interprofessional healthcare collaboration (2020) and ethics committees (2015–2018). Awards: German Sociological Association Dissertation Prize (2016) LMU Mentoring Awards (2021, 2020, 2019) Teaching & Mentorship: Taught courses in sociological theories and ethics at LMU and mentored doctoral candidates. Active in mentoring programs for female students in social sciences.

Jan WeyandView profile

Associate Professor

• Sociology of knowledge
• Cultural sociology
• Antisemitism research
• +3 more

PD Dr. Jan Weyand is affiliated with the Department of Social Sciences and Philosophy and the Institute of Sociology. His research focuses on the Sociology of Knowledge, Cultural Sociology, Antisemitism Research, and Sociological Theory. He has contributed to interdisciplinary projects such as the Alfred Schütz Complete Works and the DFG-funded project on 'Conditions of Knowledge Production in the Knowledge Society.' Research Interests : Weyand’s work explores the intersection of modernity, cultural myths, and sociological theory, with a particular emphasis on historical analyses of antisemitism. He investigates how social structures and ideologies shape collective action and cultural memory, particularly in transnational and European contexts. Publications Trends : His recent work (2010–2018) emphasizes critical analyses of progress narratives, antisemitism, and cultural dynamics in labor relations. He frequently collaborates on interdisciplinary studies linking phenomenology with pragmatism, and explores the role of media and communication in societal integration. Grants & Projects : He led the DFG-funded 'Bedingungen der Wissensproduktion in der Wissensgesellschaft' project and contributed to research on European worker cooperation and migration integration via media studies. His research often involves institutional partnerships, such as with the Hans Böckler Foundation. Labs/Teams : He collaborates with the Home Institute team and Secretariat team at the Institute of Sociology, contributing to initiatives like the Erlangen 2030 urban research project.

• Semantic Computing
• Multimedia Recommender Systems
• Video Surveillance
• +5 more

Fabio Persia is a researcher affiliated with the University of Naples Federico II , with a focus on Semantic Computing , Multimedia Recommender Systems , and Event Detection in Video Surveillance . His work spans interdisciplinary applications in Healthcare , Robotics , and Social Network Analysis , often collaborating with co-researchers like Daniela D'Auria, Mouzhi Ge, and Giovanni Pilato. His research interests include leveraging Artificial Intelligence and Complex Event Processing to enhance patient monitoring and healthcare systems . He has contributed to frameworks for social sensing , surveillance , and personalized recommendations . Publications highlight his expertise in semantic indexing , multimedia analysis , and intelligent systems . Key works involve AI-driven patient monitoring , risk-aware route planning , and social network behavior modeling . As a co-author in numerous journals and conferences, he has co-edited special issues in the International Journal on Semantic Computing and contributed to Clinical and Collaborative Robotics advancements. His current role remains active, with recent 2025 publications indicating ongoing research.

Alexander RieberView profile

Researcher

• Rating Agencies
• Credit Risk
• Network Analysis
• +3 more

Dr. Alexander Rieber is an academic researcher and advisor at the University of Ulm's Study Commission for Economics. He holds a PhD in Economics (Dr. rer. pol.) from the University of Ulm, focusing on credit rating agencies. His academic journey includes a BA in Business Administration from Mannheim Cooperative State University and an M.Sc. in Economics from Ulm. His research focuses on rating agencies, network analysis, and behavioral economics with notable work on stock market impacts of rating report tone and regulatory implications of financial policies. He has held roles as a Research Associate and DFG scholar, and currently advises the Study Commission. Key publications include analyses of Dodd-Frank Act effects, herding behavior in rating agencies, and classroom experiments on group performance. His work bridges theoretical frameworks with empirical evidence from financial markets and regulatory environments. Education 2013-2018: PhD (Dr. rer. pol.) in Economics, University of Ulm 2010-2012: M.Sc. Economics, University of Ulm 2007-2010: BA Business Admin, Mannheim Cooperative State University Research Trends His articles analyze regulatory frameworks, market reactions to financial reports, and competitive dynamics in sports/financial sectors. Themes include behavioral finance, institutional herding, and policy implications of concentrated industries. Recent work (2021-2024) emphasizes experimental methods and real-world applications of economic theories. Grants & Advising Recipient of DFG scholarship (2015-2017). Current role involves academic advising for economics education programs. No specific labs/teams mentioned but collaborates with co-authors on interdisciplinary projects.

Ute SchmidView profile

Professor

• Explainable Artificial Intelligence (XAI)
• Interpretable Machine Learning
• Inductive Programming
• +12 more

Prof. Dr. Ute Schmid is Chair of Cognitive Systems and Executive Director of the Bamberg Center of Artificial Intelligence (BaCAI) at the University of Bamberg. She also leads the Fraunhofer IIS project group Comprehensible AI (CAI), serves on the Bavarian AI Council and the Bavarian Institute for Digital Transformation (bidt), and is a fortiss Research Fellow. Her interdisciplinary work bridges computer science, psychology, and education. Education: Diploma in Psychology, Technical University Berlin (TUB) Diploma in Computer Science, Technical University Berlin (TUB) Dr. rer. nat. in Computer Science, TUB (1994) Habilitation in Computer Science, TUB (2002) Ute Schmid's research centers on explainable and interpretable machine learning, with a focus on inductive programming, interactive human-in-the-loop learning, and neuro-symbolic integration. She investigates how human expertise—both explicit and implicit—can guide machine learning models to improve transparency and trust. Her work spans cognitive modeling, intelligent tutoring systems, and AI for education, especially in primary schools. Applications include medical diagnostics, industrial quality control, and AI literacy for non-experts. Her recent publications highlight a consistent trend toward human-centered AI, emphasizing explainability, interactivity, and cognitive plausibility. Topics include explanation generation in relational domains, hybrid learning systems, and educational tools for AI literacy. These reflect her commitment to making AI accessible, trustworthy, and educationally meaningful. Scientific Awards: EurAI Fellow (2022) GI Fellow (2023) Minerva Gender Equality Award (2018) Rainer-Markgraf-Preis (2020) fortiss Research Fellow Ute Schmid actively mentors students and leads multiple funded research projects, including DFG, BMBF, and BayVFP initiatives. She is deeply involved in public outreach, teacher training, and gender equality in computer science. She leads the FELI research group (Computer Science for Kids) and organizes Girls' Day and youth programs. Her leadership extends to national and international initiatives such as Plattform Lernende Systeme, KI Campus, and the Human-Like Computing Network+. Labs and Teams: Cognitive Systems Research Group, University of Bamberg Fraunhofer IIS Project Group Comprehensible AI (CAI) FELI: Elementary Computer Science Research Group Bamberg Center of Artificial Intelligence (BaCAI)

Konrad MartinView profile

Researcher

• Environmental Science
• Mycology
• Agroecology
• +5 more

Dr. Konrad Martin is a Researcher at the University of Hohenheim, affiliated with the Department of Crop Production in the Tropics and Subtropics under the Institute of Agricultural Sciences in the Tropics (Hans Ruthenberg Institute). His work focuses on agroecology, biodiversity conservation, and sustainable agricultural practices, particularly in tropical regions. He collaborates on projects like SURUMER, addressing sustainable rubber cultivation and ecosystem services in the Mekong Region. His research spans plant-microbe interactions (e.g., mycorrhizal fungi), heavy metal tolerance in plants, and the ecological impacts of agricultural practices. Education: Not explicitly stated in the text, but his involvement in research projects implies advanced training in agricultural sciences or related fields. Grants/Projects: Key contributor to the SURUMER project (2011–2016), investigating sustainable rubber cultivation and biodiversity preservation. His publications emphasize interdisciplinary approaches to environmental challenges, including bioremediation, pollinator ecology, and agroforestry. He has advised on integrating academic research with practical farming strategies in South China and Southeast Asia.

• Causal Machine Learning
• Explainable AI
• High-Dimensional Data Analysis
• +5 more

Prof. Stefan Bauer is an Associate Professor at TU Munich and a senior PI at Helmholtz AI. He holds a Ph.D. in Computer Science from ETH Zurich (2018), where he received the ETH Medal for his thesis on causal learning. His research focuses on developing algorithms that uncover causal relationships in high-dimensional data, enabling explainable AI and robust, transformative technologies. Bauer previously worked as an Assistant Professor at KTH Stockholm and a Group Leader at the Max Planck Institute for Intelligent Systems. Educational Background Ph.D. in Computer Science, ETH Zurich (2018) M.Sc. Mathematics, ETH Zurich B.Sc. Economics and Finance, University of London Research Interests Bauer’s work bridges causal inference, machine learning, and robotics. Key themes include causal representation learning for AI transparency, scalable algorithms for complex systems, and applications in robotics, materials science, and biomedical research. His team emphasizes real-world validation, such as deploying dexterous manipulation robots and discovering novel high-entropy alloys via machine learning. Awards and Contributions CIFAR Azrieli Global Scholar (2020) Best Paper Award at ICML (2019) ETH Medal for Outstanding Dissertation (2018) Advancing AI and Robotics Bauer leads projects like the Real Robot Challenge , a cloud-based platform for reproducible robotics research. He also collaborates on biomedical applications, such as bias detection in medical imaging and robustness testing for foundation models in healthcare. Labs and Collaborations His lab at TU Munich integrates interdisciplinary teams working on causal AI, robotics, and materials discovery. Bauer collaborates with Helmholtz AI, KTH, and institutions globally to advance AI’s societal impact.

Katrin BergenerView profile

Senior Lecturer

• Creativity Management
• Innovation Management
• Business Process Management (BPM)
• +5 more

Dr. Katrin Bergener is a Senior Lecturer at the Department of Information Systems , School of Business and Economics, University of Münster. She serves as Managing Director of the European Research Center for Information Systems (ERCIS) since May 2024 and previously held roles as Senior Academic Councillor (2023–2024) and Academic Councillor (2020–2023). Her work bridges information systems research with practice through projects like Digital Me (gender-focused IT career guidance) and AI-bility (AI awareness for schoolchildren). Doctorate in political science (2014–2023), Master's in General Linguistics (2001–2006) Specializes in creativity management , innovation processes , and virtual group dynamics Key projects: MASTIS (modernizing IS education), BPM Winter School (executive education), and EQUAL-IST (gender equality action plans) Her research has earned recognition including the VHB Textbook Award (2019) and Outstanding Paper Award (2008) . She supervises theses on topics spanning AI applications, fairness in information systems, and digital learning platforms.

Manuel SchrammView profile

Senior Lecturer

• Economic and Social History
• Consumer History
• History of the Textile Industry
• +7 more

PD Dr. Manuel Schramm is a Senior Lecturer and Private Lecturer in the Department of Economic and Social History at the Faculty of Philosophy, Chemnitz University of Technology. He holds the Professorship for Antiquity and Europe and is actively engaged in research and teaching. His academic work is deeply rooted in German and European socio-economic history, with a regional focus on Saxony. University: Chemnitz University of Technology School: Faculty of Philosophy Department: Department of Economic and Social History Position: Private Lecturer (PD), Senior Academic Dr. Schramm's research centers on consumer history, the history of the textile industry, cartography, knowledge and innovation systems, labor history, and environmental history. His work often explores the interplay between regional identity and broader national or global developments, particularly in the context of industrialization and consumption patterns. He emphasizes long-term historical perspectives and comparative methodologies. The most recent scholarly outputs reflect a multidisciplinary approach, combining social, economic, cultural, and technological history. His publications span from studies on consumption identity in Saxony to the history of scientific innovation in the GDR, and from the evolution of cartographic practices to the social implications of industrial labor. A recurring theme is the transformation of social and economic structures in modern Europe, especially in Germany. Dr. Schramm is currently leading a DFG-funded research project on child labor in the Saxon textile industry from 1800 to 1938, which aims to provide a comprehensive, long-term analysis of child labor using previously unexplored archival sources. This project highlights his commitment to uncovering understudied aspects of industrial and social history. While no specific scientific awards are mentioned in the provided text, his extensive publication record in reputable journals and academic publishers (e.g., Böhlau, Franz Steiner Verlag) and his leadership of a DFG-funded project indicate significant scholarly recognition. He has also co-authored and edited several important volumes in his field. Dr. Schramm is involved in academic advising and research supervision, though no specific names of students are listed. His collaborative work with scholars like Uwe Fraunholz and Hannes Siegrist demonstrates his integration into national and international research networks. He teaches courses such as 'The Rise of the West' and 'Quantitative Methods in History,' contributing to both undergraduate and graduate education. He is part of a research working group and contributes to academic colloquia at the university. His current project on child labor involves archival research and likely collaboration with historians, sociologists, and possibly digital humanities experts, suggesting an active research team environment.

Mischa KuballView profile

Professor

• Public Art
• Light Art
• Conceptual Art
• +5 more

Prof. Mischa Kuball (b. 1959) is a renowned German conceptual artist and professor at the Academy of Media Arts Cologne , where he has taught Media Art since 2007. His practice bridges Public Art , Light Art , and Urban Intervention , often interrogating the interplay between architecture , context , and social discourse . Key Projects: São Paulo Biennale (1998), Broca's Area brain research collaboration (2000–present), Jewish Museum Berlin's res·o·nant (2017), and critical re-examination of Emil Nolde's legacy (2020–2022). Collaborative Networks: Partnered with Ruhr University Bochum, Neurosurgical Clinic Krefeld, and documenta archive. Founded the MinusEins experimental lab with students at KHM Cologne. Research Themes include: Light as a medium for visualizing sociopolitical contradictions Reclamation of historical memory through spatial interventions Interdisciplinary work merging neuroscience (Broca's Area) and critical theory Recontextualization of architectural symbols (e.g., Daniel Libeskind's voids) Selected Publications (2000–2016) and ongoing projects like space_relations (2025) demonstrate his commitment to long-term research cycles . His work interrogates dualities— private/public , work/art time , and historical erasure —while maintaining a focus on critical aesthetics and discursive spaces .

Christiane IvenView profile

Professor

• Musicology
• Vocal Pedagogy
• Music Psychology
• +6 more

Christiane Iven is a Professor of Vocal Studies and serves as the Institute Director at the Institute for Vocal and Theatre Performance at Hochschule für Musik und Theater München (HMTM). Her work bridges artistic practice and academic research, contributing to the university's core mission of integrating scientific inquiry with cultural creation. Role: Institute Director, Professor of Vocal Studies Key Affiliation: Institute for Vocal and Theatre Performance University: HMTM München HMTM's research profile emphasizes interdisciplinary exploration across musicology, music psychology, and digital communication in cultural sectors. The university prioritizes research-based learning and public knowledge transfer through structures like the Forum Research and Research Commission. Research areas include: Music and Dictatorship Jewish music and musicians in Bavaria Forgotten composers' works Artificial intelligence in cultural contexts Musicians' medicine and performance psychology Digital communication and sound art These align with the Institute for Vocal and Theatre Performance's focus on vocal pedagogy and performance studies.