Generative Modeling Professors and Supervisors in Germany | ApplySharif

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Abdelhak M. ZoubirView profile

Professor

Technical University of DarmstadtGermany

Abdelhak M. Zoubir is a Professor of Signal Processing and Head of the Signal Processing Group at Technische Universität Darmstadt, Germany. He has held leadership roles including Head of the Department of Electrical Engineering and Information Technology (2012–2014 and 2020–2022), and President of the European Association for Signal Processing (EURASIP, 2017–2018). His research focuses on statistical signal processing with applications in radar imaging, biomedical engineering, and automotive systems. Zoubir has authored over 500 publications and is a Fellow of IEEE and EURASIP. He currently leads projects on radar communication integration, robust signal processing algorithms, and radiation-hardened sensor development. Education: Dipl.-Ing. (BSc/MSc) from Fachhochschule Niederrhein and Ruhr-Universität Bochum, followed by a Dr.-Ing. (PhD) in Electrical Engineering from Ruhr-Universität Bochum (1992). Research Interests: Bootstrap techniques, robust detection/estimation, cooperative sensor networks, radar for landmine detection, and automotive safety systems. He has pioneered methods in robust statistical signal processing, including low-rank matrix completion and sparsity-aware algorithms. Recognition: Recipient of the IEEE Meritorious Service Award (2018), IEEE Signal Processing Magazine Best Paper Award (2017), and the M. Barry Carlton Award (2014). He has been a keynote speaker at major conferences such as ICASSP and EUSIPCO, and served as Editor-in-Chief of the IEEE Signal Processing Magazine (2012–2014). Current Projects: Focus on automotive radar signal processing, radiation-hardened sensors (MALTA), and distributed learning robustness. His work bridges theoretical advancements with practical applications in defense, healthcare, and automotive industries.

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Jennifer D'SouzaView profile

Research Fellow

German National Library of Science and TechnologyGermany

Jennifer D'Souza is a Research Fellow in the Open Research Knowledge Graph (ORKG) project at the Data Science and Digital Libraries research group within the Technische Informationsbibliothek (TIB) . Her current work focuses on natural language machine learning, including knowledge graph construction, ontology alignment, and AI-assisted scientific discovery. Prior to TIB, she held postdoctoral positions at the University of California, Davis (focusing on software engineering and NLP applications) and completed her PhD at the University of Texas at Dallas, specializing in relation mining. She has also contributed to industrial software solutions in concept generation. Education : PhD in Computer Science, University of Texas at Dallas Postdoctoral Researcher, University of California, Davis Research Interests : Information Extraction and Question Answering Scientometrics and Knowledge Organization Natural Language Processing (NLP) for Ontology Learning Large Language Models (LLMs) in Scientific Workflows Awards & Grants : Not explicitly listed, but her contributions to projects like ORKG and participation in hackathons highlight collaborative achievements in AI-driven research. Labs/Teams : Active member of the Data Science and Digital Libraries group at TIB, contributing to projects such as ORKG and the Large Language Models for Ontology Learning Challenge .

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Michael WehmöllerView profile

Professor

Osnabrück University of Applied SciencesGermany

Prof. Dr.-Ing. Michael Wehmöller is a full Professor at the Faculty of Engineering and Computer Science, Osnabrück University of Applied Sciences. His career spans roles as a technical director in medical device companies and interdisciplinary research leadership in DFG/EU-funded programs, integrating CAD/CAM, additive manufacturing, and biomechanics. Research interests focus on dental technology , medical device innovation , biomechanics , biomaterials , and 3D printing . His work bridges engineering precision with clinical applications , particularly in craniofacial reconstruction and selective laser melting for implants. The 15 most recent publications highlight trends in computer-aided implant design biodegradable materials testing automated surgical planning with a strong emphasis on clinical translation of engineering solutions. Scientific recognition includes Innovationspreis NRW (1996) Innovationspreis Ruhrgebiet (2002) and ongoing membership in VDI medical technology panels . He leads the Digitale Dentale Technologien lab, focusing on next-generation implant systems.

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Siegfried NijssenView profile

Assistant Professor

RWTH Aachen UniversityGermany

Siegfried Nijssen is an Assistant Professor of Data Mining and Artificial Intelligence at the Catholic University of Louvain (UCLouvain) in Belgium, working within the ICTEAM research institute's Artificial Intelligence and Algorithms group. He has been at UCLouvain since 2016, previously serving as an Assistant Professor at University Leiden (2012-2016) and completing postdoctoral work at KU Leuven (2006-2015). He earned his PhD in Computer Science from University Leiden in 2006. His research focuses on making data analysis simpler through intersections between pattern mining, exploratory data analysis, and programming paradigms in Artificial Intelligence, particularly constraint programming and probabilistic programming. He has developed techniques for analyzing diverse data types including graphs, networks, and multi-relational data. His work bridges theoretical foundations with practical applications in decision tree learning, probabilistic networks, and source code analysis. Nijssen's recent publications demonstrate a strong focus on optimal decision trees, constraint-based pattern mining, and applications in bioinformatics and education. His research shows consistent evolution from foundational graph mining work (including the Gaston algorithm developed in 2004) to current work integrating machine learning with constraint programming for interpretable AI solutions. As an educator, he teaches courses including Mining Patterns in Data, Databases, and Artificial Intelligence and Machine Learning seminars at UCLouvain. He has advised numerous PhD students and postdocs, primarily in collaboration with Pierre Schaus, with former students like Tias Guns now holding professorships.

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Iris ClemensView profile

Professor

University of BayreuthGermany

Prof. Dr. Iris Clemens is a full Professor at the Chair of General Educational Science within the Faculty of Cultural Studies at the University of Bayreuth , where she has held a permanent position since 2014. She previously served as Acting Professor of Intercultural Education at Bundeswehr University Munich (2012-2013) and worked at Free University Berlin and German Institute for International Educational Research Frankfurt. Habilitation: General Educational Science as Cultural Science (2013) Doctorate: Education-Semantic-Culture (2005) Diploma: Media Discourse and Pedagogical Reflection in India (2000) Her research establishes relational educational frameworks through network theory applications, particularly focusing on knowledge transformations in globalized societies , postcolonial educational analysis , and non-Western learning processes . She has conducted sustained fieldwork in India since 1998 and Benin, examining global educational concept circulation , identity formation through networks , and epistemological decolonization . Her recent publications analyze networked livelihood creation in Africa, Bill & Melinda Gates Foundation influence on education, and spatial learning dynamics . She co-organizes Digital Workshop for Doctoral Candidates (DGNet) and serves as Deputy Chair of the German Society for Network Research. The 2025 articles in Springer and Palgrave Macmillan demonstrate her continued leadership in relational educational theory.

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Bongwon SuhView profile

Professor

University of TrierGermany

Bongwon Suh is a Professor in the Department of Computer Science at the Korea Advanced Institute of Science and Technology (KAIST), College of Computing. With a prolific publication record spanning over two decades, Suh has established himself as a leading researcher in Human-Computer Interaction, Social Computing, and Artificial Intelligence applications. His research interests focus on Human-Computer Interaction, Social Computing, Artificial Intelligence, Large Language Models, Information Visualization, Recommender Systems, Multi-Agent Systems, and Accessibility Technologies. Suh's work often explores the intersection of social dynamics and technological systems, examining how AI and interactive systems can enhance human experiences in diverse contexts including education, entertainment, communication, and accessibility. Recent publications (2023-2025) demonstrate a strong focus on Large Language Model applications, with significant contributions in social simulation for education, conversational AI systems, multi-agent coordination, and accessibility technologies. His work frequently appears in top-tier venues including CHI, CSCW, UIST, and SIGIR, reflecting the high impact of his research. Suh has collaborated extensively with researchers across KAIST and internationally, with frequent co-authors including Changhoon Oh, Kyusik Kim, Hyungwoo Song, and Jeongwoo Ryu. His research program consistently bridges theoretical insights with practical applications, particularly in developing systems that enhance human social experiences through technology.

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Christian KeitelView profile

Professor

Potsdam University of Applied SciencesGermany

Christian Keitel is an Honorary Professor for Archival Science and Digital Archiving at the University of Applied Sciences Potsdam. He works at the Landesarchiv Baden-Württemberg, where he has served since 2000, currently as Deputy Head of Department 2 (Specialized Programs and Educational Work). His research focuses on conceptual principles of conventional and digital archiving, DIMAG systems, certification of digital archives, authenticity of digital records, and cooperative learning processes in digital archiving. University of Applied Sciences Potsdam – Honorary Professor (2015–) Landesarchiv Baden-Württemberg – Deputy Head of Department (2011–), Senior Archivist (2000–) Keitel’s scholarly work emphasizes digital preservation, metadata standards, and long-term archive certification. His publications address challenges in trustworthiness of digital repositories, significant properties of electronic records, and collaborative digital archiving frameworks. He co-authored DIN standards 31644 and 31645 for trustworthy digital archives. Recent articles highlight his contributions to digital ingest workflows, metadata extraction, and municipal archive solutions. His work explores intersections between traditional archival principles and modern digital challenges, including authenticity verification, system development, and cross-institutional cooperation.

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Jan GogartenView profile

Researcher

University of GreifswaldGermany

Dr. Jan Gogarten is a researcher at the University of Greifswald within the Applied Zoology and Nature Conservation department. Their work focuses on primate-associated organism communities, including bacterial microbiomes, eukaryotic parasites, and pathogen-carrying flies, investigating how these communities shape primate health and conservation. Key collaborations with Helmholtz Institute for One Health , Robert Koch Institute , and Max Planck Institute for Evolutionary Anthropology Research spans zoonotic pathogen detection , molecular method development for genomic data generation, and climate change impacts on primate populations . Methodologies include longitudinal studies in Taï National Park and Kibale National Park, fly-derived DNA for biodiversity monitoring, and comparative datasets on sociality costs/benefits.

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Elisha KriegView profile

Assistant Professor

Leibniz Institute of Polymer ResearchGermany

Dr. Elisha Krieg serves as Group Leader at the Leibniz Institute for Polymer Research Dresden and TUD Young Investigator at Dresden University of Technology, Germany. Her research pioneers programmable biomaterials using DNA nanotechnology for advanced biomedical applications, bridging synthetic polymer science with biological complexity. Her academic foundation includes: Ph.D. in Chemistry, Weizmann Institute of Science, Israel (2013) M.Sc. in Chemistry, Weizmann Institute of Science, Israel (2009) Vordiplom in Chemistry, University of Cologne, Germany (2006) Krieg's work centers on developing DNA-based nanomaterials that translate nanoscale programmability to macroscopic functional materials. Her group designs synthetic polymers functionalized with DNA modules to create reconfigurable platforms for diagnostics, tissue engineering, and nucleic acid purification. This approach leverages DNA's molecular precision to overcome limitations of conventional synthetic polymers, enabling dynamic biomaterials that respond to biological cues. Recent publications reveal a clear trajectory toward clinical translation, with 12 of 15 recent papers focusing on DNA-encoded hydrogels for cell culture matrices and nucleic acid diagnostics. The research spans fundamental supramolecular chemistry to applied biomedical engineering, emphasizing scalability and point-of-care compatibility. Key recognition includes: HFSP Postdoctoral Fellowship during Harvard tenure Krieg actively recruits MSc/PhD students through DIGS-BB and secures competitive funding including the TUD Young Investigator program. Her mentorship emphasizes interdisciplinary training in polymer chemistry, molecular biology, and nanomaterial characterization. Current grants support three core application areas: DNA/RNA purification for sequencing diagnostics, dynamic 3D cell culture matrices, and pathogen detection systems. The Krieg Group operates within the Max Bergmann Center of Biomaterials, utilizing advanced facilities for DNA nanotechnology, polymer synthesis, and nanomaterial characterization including cryo-EM and rheology.

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Carsten SteinertView profile

Professor

Osnabrück University of Applied SciencesGermany

Prof. Dr. Carsten Steinert is a Professor of Human Resources Management at the Faculty of Economics and Social Sciences , Osnabrück University of Applied Sciences. His career bridges academic research with industry practice, including roles as HR consultant for international financial services firms and 5 years as an honorary judge at the Frankfurt am Main Labor Court . Research focuses on: Human resources strategies for SMEs Managerial key qualifications Agile leadership frameworks Remote workforce management Generational workforce dynamics Recent publications analyze: Remote leadership acceleration during pandemic Sustainable leadership models (2018 book) HR challenges in healthcare institutions Winning strategies for Generation Z recruitment High-performance leadership lessons from elite sports Scientific contributions include: 15+ peer-reviewed publications 8+ industry-focused case studies 20+ invited lectures on HR topics International teaching experience (UK/China) His practice-oriented teaching emphasizes: Theory-practice integration Application-focused learning Project-based education Active student participation Contextual HR understanding

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Ursula BergerView profile

Research Professor

Ludwig Maximilian University of MunichGermany

PD Dr. Ursula Berger is a Senior Biostatistician and Epidemiologist at Ludwig-Maximilians University Munich's Department of Medical Informatics, Biostatistics and Epidemiology (IBE). She holds a Venia Legendi for Biostatistics and Epidemiology from LMU and has extensive experience in health research, including positions at the University of Glasgow, Universität Bielefeld, and as a consultant for IGES in Berlin. Her research focuses on the evaluation of health programs and interventions, health inequality research, and risk factor assessment using models for complex data structures. Dr. Berger specializes in spatial epidemiology, statistical methods development, and the application of advanced biostatistical techniques to public health problems. She has made significant contributions to understanding health disparities, environmental health impacts, and pandemic response strategies. Dr. Berger has supervised numerous doctoral and master's theses across diverse topics including spatial epidemiology, non-communicable diseases, environmental exposures, and health systems research. Her recent publications demonstrate expertise in statistical modeling of pandemic data, health inequalities, and methodological approaches to epidemiological challenges. Her scientific recognition includes the Harald Mückter Teaching Innovation Award 2025 from the LMU Medical Faculty for her commitment to teaching and promotion of statistical competence in medical education. She has developed innovative educational tools including epiLEARNER, an interactive e-learning program for epidemiology and statistics. As an educator, Dr. Berger coordinates and teaches advanced courses including Quantitative Methods, Survival Analysis, Multilevel Analysis, and Statistical Methods for Spatial Epidemiology. She has played a key role in restructuring epidemiology and biostatistics curriculum for medical students through the MeCuM Science program and has coordinated the development of a national catalogue of learning objectives in biostatistics.

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Peter Christopher LorsonView profile

Professor

Munich Business SchoolGermany

Prof. Dr. rer. oec. Peter Christopher Lorson is an active professor at the University of Rostock holding the Professorship for General Business Administration: Corporate Accounting and Controlling. He is affiliated with the Faculty of Economics and Social Sciences and the Institute of Business Administration / Center for Accounting and Auditing . Research areas: Corporate accounting, EPSAS, IPSAS, IFRS, HGB, Sustainability Management, Integrated Reporting Email: peter.lorson@uni-rostock.de Research Focus: His work centers on harmonization and convergence in accounting standards across private and public sectors, with emphasis on IFRS implementation in EU contexts, sustainability reporting frameworks, and practical case studies in financial instruments, leases, and consolidated financial statements. Scientific Contributions: Lorson has published extensively on comparative accounting regimes, including a 12-part case study series analyzing transitions from national standards (HGB/SsD) to IFRS/IPSAS. Notable topics include intangible assets accounting , lease standard adoption under IFRS 16 , and financial instrument classification across public and private sectors.

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André NitzeView profile

Professor

Brandenburg University of TechnologyGermany

Prof. Dr.-Ing. André Nitze is a faculty member at the Brandenburg University of Technology in the Department of Economics . His research focuses on Internet of Things (IoT) , Digital Business Models , Software Architectures , Cloud Computing , Mobile Computing , and Predictive Analytics . He leads research projects on municipal LoRaWAN infrastructure, rural on-demand transport systems, and user-centered digitalization for sustainable development. Area of Expertise: IoT Applications, Software Engineering, Digital Transformation Current Research: Sustainable Municipal LoRaWAN, Rural Mobility Solutions Projects: risKI - KatKomm (2024-2026): Protocol development for disaster communication InNoWest (2023-2027): Subproject leader for digital sustainability OSLO (2023): Rural on-demand transport software architecture Awards: Best Paper Award at ICDS 2024 for work on LoRaWAN infrastructure Education & Supervision: M.Sc. and B.Sc. in Business Informatics Supervised over 15 theses including topics on GIS analysis, sensor networks, and AI applications

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Bettina FritzscheView profile

Professor

Freiburg University of EducationGermany

Prof. Dr. Bettina Fritzsche is a Professor of General Educational Science with a focus on qualitative research methods at the Institute of Educational Science , University of Education Freiburg. She serves as Dean of Studies, Faculty I, and Head of BA/MA Educational Science programs. Her research examines educational practices through reconstructive methodologies, ethnography, and videography, with particular attention to cultural comparison, vulnerability, and inclusion/exclusion dynamics in pedagogical settings. University: University of Education Freiburg Role: Professor, Dean of Studies, Program Head Departments: Institute of Educational Science Email: bettina.fritzsche@ph-freiburg.de Research Focus: Fritzsche specializes in reconstructive educational research , analyzing teacher-student interactions and institutional norms through a cultural comparative lens . Her work applies Judith Butler's recognition theory to study how heterogeneity and inequality manifest in schools, particularly through policies aimed at inclusion. She investigates meta-ethnographic synthesis and methodological pluralism to understand cross-cultural educational practices. Article Trends: Her publications emphasize praxeological approaches to schooling, ethnographic case studies , and transnational educational comparisons . Key themes include vulnerability production , symbolic exclusion , and pedagogical border-drawing , with methodological innovations in videography and cultural translation .

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Thorsten ThielView profile

Professor

University of ErfurtGermany

Prof. Dr. Thorsten Thiel is a full professor at the Faculty of Economics, Law and Social Sciences at the University of Erfurt. He serves as holder of the Professorship for Democracy Promotion and Digital Policy, Equal Opportunities Officer (Gleichstellungsbeauftragter) of the Faculty, and representative for Social Sciences study programs. His research focuses on political theory in digital contexts, specifically examining democratic transformations through technology, sovereignty in digital infrastructure, and structural changes in public spheres. Professorship for Democracy Promotion and Digital Policy Equal Opportunities Officer Faculty Representative for Social Sciences ORCID: 0000-0002-4261-118X His scholarly work investigates: Digital sovereignty frameworks and their political implications Structural transformations of public spheres through social media AI's impact on democratic processes Privatization of digital public infrastructure Anonymous activism and digital rights Republicanism in networked societies Recent publications analyze emerging challenges to democratic governance in digital environments, including algorithmic decision-making, platform regulation, and crisis hackathons as democratic innovations. He has contributed to debates on digital sovereignty (2024), AI's influence on political will-formation (2024), and Habermasian digital public sphere theory (2023). His #WirVsVirus hackathon analysis (2023) explores participatory technology in crisis governance.

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