Find Academic Supervisors

• Immunology
• Ageing Research
• Neurodegenerative Diseases
• +4 more

Dr. Anna C. Aschenbrenner serves as a Group Leader at the German Center for Neurodegenerative Diseases (DZNE) in Bonn, affiliated with the University of Bonn's Medical Faculty. Her research centers on the immune system's role in ageing processes and age-related diseases, particularly neurodegenerative conditions. Her work investigates immune ageing mechanisms, chronic inflammation in elderly populations, and infections (HIV, sepsis, acute/post-COVID syndromes) as triggers for premature immune deterioration. She employs advanced immunology, functional genomics, and AI-driven bioinformatics to analyze high-dimensional cohort data, developing precision medicine tools like companion diagnostics for corticosteroid therapies in critical care. Her 2024 Cell publication demonstrates how dexamethasone-induced monocyte transcriptional changes directly correlate with severe COVID-19 outcomes, establishing a framework for identifying therapy non-responders through single-cell omics. Dr. Aschenbrenner leads multiple cohort studies (HIV2000, ImmunoSEP, DeCOI, NEUROCOV, NKSG, IMMME) characterizing immune responses across infectious diseases. Her group conducts intervention research on elderly vaccination optimization, drug repurposing for immune enhancement, and functional genomics-based diagnostic development. No scientific awards were documented in the source material. The provided texts contained no information regarding student advising relationships or research grant funding.

Frank ReiserView profile

Associate Professor

• Spanish Literature
• French Literature
• Memory Studies
• +6 more

Dr. Frank Reiser is an Academic Councilor for Romance Literature at the University of Freiburg, where he has been teaching since 2010. He is affiliated with the Romance Department (Romanisches Seminar) and teaches courses in Spanish and French literature, including Introduction to Spanish Literature, Introduction to French Literature, and specialized seminars on memory cultures in language education. His educational background includes: High school diploma in 1993 from Schwäbisch Hall Studies in Romance Philology (French, Spanish, Portuguese) and Philosophy at the University of Freiburg beginning in 1995 Foreign language assistant in Épinal, France (1998/99) MA with distinction in 2001 Baden-Württemberg University Teaching Certificate in 2005 Doctorate in 2006 with a thesis on prison representation in contemporary French novels Dr. Reiser's research focuses on literary studies with particular emphasis on Spanish and French literature, memory studies, and the intersection of literature with education. His work explores how literature can address social traumas and build intercultural competence, particularly through the lens of memory cultures. He has developed innovative approaches connecting literary studies with subject didactics for language teacher education, creating design-based research projects that bridge academic research and school practice. His numerous publications demonstrate a consistent engagement with how literature processes historical events and collective memory, from 9/11 representations in French literature to memory cultures in Spanish education contexts. His scholarship spans literary theory, cultural studies, and educational applications, showing how literary texts can serve as tools for understanding complex social phenomena and developing critical perspectives. Dr. Reiser has received recognition for his work: Prize from the literary society (Scheffelbund) after high school 2007 Hans and Susanne Schneider Foundation Prize for Young Researchers in Romance Studies As an educator, Dr. Reiser has been deeply involved in teacher training, particularly for future Spanish and French language instructors. His work with Prof. Dr. Katja Zaki on design-based research projects demonstrates his commitment to connecting academic literary studies with practical classroom applications. He serves as Editor-in-Chief for Literary and Cultural Studies of the journal "Lendemains. Etudes comparées sur la France," contributing to scholarly discourse in Romance studies. Dr. Reiser maintains an active research profile, regularly publishing in both German and international venues, with recent work focusing on memory cultures, social traumas, and their relationship to literary education. His current teaching schedule for the summer semester 2025 shows his ongoing commitment to undergraduate and graduate education in Romance literature.

Zhe LiuView profile

Assistant Professor

• Software Engineering
• Mobile Testing
• Deep Learning
• +5 more

Zhe Liu is an Assistant Scientist at the Institute of Software, Chinese Academy of Sciences, and is affiliated with the University of Chinese Academy of Sciences. With a PhD from the University of Chinese Academy of Sciences, Liu focuses on innovative research at the intersection of software engineering, mobile testing, and artificial intelligence. Liu's research interests span multiple areas including: Software Engineering Mobile Testing Deep Learning Human-Computer Interaction Machine Learning Computer Vision UI Testing Crowd Testing Liu applies AI and lightweight program analysis technology in several key directions: AI/LLM-assisted automated mobile app development (requirement elicitation, app GUI testing, usability, bug replay) Human-machine collaborative testing (testing guides for testers) AI-empowered mining of software repositories (issue report mining) Liu has published 15 papers at top international Software Engineering and Human-Computer Interaction conferences/journals (CCF-A) with over 1,300 Google Scholar citations. The research shows a strong trend toward leveraging large language models for mobile app testing, with significant contributions in automated GUI testing, crash reproduction, and text input generation. Notable scientific achievements include: ACM Student Research Competition (SRC) 2023 Grand Finals Winners, 1st Place, Graduate Category Best Paper Honourable Mention in CHI'24 ACM Student Research Competition (SRC) at ICSE 2022, 1st Place ACM Student Research Competition (SRC) at ASE 2020, 1st Place Excellent Doctoral Dissertation of Chinese Academy of Sciences in 2024 Liu has served as a program committee member for ASE 2025 and has been involved in multiple research projects funded by the National Key Research and Development Program of China, National Natural Science Foundation of China, and Populus Innovation Research Funding. Current research focuses on advancing the integration of large language models with mobile application testing frameworks to improve app quality and user experience.

Andreas VogelsangView profile

Professor

• Requirements Engineering
• Model-Based Systems Engineering
• Empirical Software Engineering
• +1 more

Andreas Vogelsang is a full Professor of Software Systems Engineering at the University of Duisburg-Essen and board member of paluno - the Ruhr Institute for Software Technology. His research focuses on requirements engineering, model-based systems engineering, empirical software engineering, and AI for software engineering, with significant contributions to the software engineering community through conference leadership and publications. His research interests center on improving requirements engineering processes using AI techniques, addressing model-based systems engineering challenges in embedded systems, and conducting empirical validation of software engineering practices. He investigates industrial adoption barriers, quality requirements interpretation, and the application of large language models to automate requirements tasks, emphasizing practical relevance and empirical evidence. Recent publications reveal a strong trend toward leveraging AI—particularly large language models—for requirements elicitation, traceability, and code generation. His work bridges theoretical advancements with industrial applications, focusing on empirical validation in domains like automotive systems and research software, while exploring explainability in AI-assisted development. Scientific awards include: Junior Fellow of the German Informatics Society (GI) (2018) Young Scientist of the Year by academics and the DHV (2019) As a board member of paluno, he drives interdisciplinary research initiatives and industry collaborations, fostering innovation in software technology through academic-industrial partnerships and contributing to the institute's strategic direction in software engineering research.

Iftekhar AhmedView profile

Associate Professor

• Software Engineering
• Software Testing
• Machine Learning for Software Engineering
• +3 more

Iftekhar Ahmed is an Associate Professor in Informatics at the Donald Bren School of Information and Computer Science, University of California, Irvine. His research focuses on software engineering, particularly combining software testing, static analysis, and machine learning to develop better tools and techniques for software quality assurance. His educational background includes: PhD in Computer Science (2018) from Oregon State University, advised by Carlos Jensen BSc in Computer Science & Engineering (2007) from Shahjalal University of Science and Technology Dr. Ahmed's research interests center on software testing, static analysis, and the application of machine learning to software engineering problems. He has made significant contributions to mutation analysis, particularly in scaling this technique for real-world software systems. His work often bridges theoretical advances with practical applications, focusing on how to make software testing more effective and efficient for developers. He leads the STAIRS (Software Engineering & Testing Using Artificial Intelligence for Reliable Software) research group at UCI, where his team explores innovative approaches to software reliability through AI and machine learning. His recent publications demonstrate a strong trend toward integrating artificial intelligence with traditional software engineering practices. There's a clear focus on applying machine learning to code analysis, commit message generation, and bug detection, while maintaining rigorous empirical validation through studies of real-world software projects and developer practices. His work spans multiple domains including web accessibility, quantum computing, and Jupyter notebooks, showing both depth in core software engineering topics and breadth across application areas. Dr. Ahmed has received several prestigious awards: IBM Ph.D. Fellowship for academic year 2016-2017 Graduate School tuition relief Scholarship for academic year 2016-2017 IBM Ph.D. Fellowship for academic year 2017-2018 Actively involved in the academic community, Dr. Ahmed serves on program committees for major software engineering conferences including ASE, ICSE, and ESEC/FSE. He is currently accepting PhD students into his research group and emphasizes mentorship and professional development. His research has been supported by various grants that enable his team to explore innovative approaches to software testing and analysis. Dr. Ahmed leads the STAIRS research group at UCI, which focuses on developing AI-powered techniques for software testing and reliability. The group collaborates with industry partners and academic institutions to ensure their research addresses real-world challenges in software development. Current projects include improving mutation testing scalability, analyzing code smells in emerging domains like quantum computing, and developing tools for accessibility testing.

René PeinlView profile

Professor

• Multimodal Artificial Intelligence
• Resource-efficient AI
• Speech Recognition
• +7 more

René Peinl is a Professor of Business Informatics at the Institute for Information Systems (iisys) within the Faculty of Computer Science at Hof University of Applied Sciences. He serves as the Institute Director and leads the research group on Multimodal Artificial Intelligence. His academic career spans over 15 years of teaching in master's programs including 'Master Informatik' and 'Master Applied Research in Computer Science', with a focus on resource-efficient AI for text understanding since 2021. Dr. Peinl's research spans multiple cutting-edge domains in AI and information systems. His primary focus is on multimodal artificial intelligence systems that integrate various data modalities. He specializes in resource-efficient AI models that can operate without cloud resources, with particular emphasis on German language processing for speech recognition, text understanding, and speech synthesis. His work extends to practical applications in Industry 4.0 through customizable manufacturing execution systems (HiCuMES) and immersive learning applications using virtual reality technology for fields like electrical engineering and healthcare training. Analysis of his recent publications reveals a strong trend toward practical, efficient AI implementations with a focus on German language processing and multimodal systems. His work addresses critical challenges in model compression, bias mitigation in generative AI, and multimodal integration of text and image understanding. A significant portion of his research focuses on making AI more accessible and practical for small and medium enterprises through resource-efficient implementations that don't require cloud infrastructure. Professor Peinl actively participates in academic service and industry collaboration. He serves as a member of Hof University's senate and supervisory board. His research is supported through EFRE projects including 'Wirtschaft im Mittelstand 4.0' and 'Digitale Transformation des Mittelstands mit KI'. He frequently engages with industry through speaking engagements, consulting, and collaborative projects with companies across various sectors. At Hof University, Peinl leads the Institute for Information Systems and the Multimodal Artificial Intelligence research group. His team works on developing privacy-friendly speech assistance systems that function without cloud resources, highly customizable manufacturing execution systems for Industry 4.0, and immersive VR learning applications for domains that are expensive, dangerous, or difficult to replicate in physical reality.

Norbert FrickView profile

Professor

• Business Informatics
• Data Management
• Process Management
• +3 more

Professor Norbert Frick serves as a full-time lecturer at the Deutsche Bundesbank's University of Applied Sciences (Hochschule der Deutschen Bundesbank), located at Hachenburg Castle. His academic career spans business informatics, data management, and process management, with a strong focus on practical applications in both public and private sectors. He plays a key role in teaching courses on business informatics, data management, research methods, and academic writing at this specialized institution serving Germany's central bank. Professor Frick earned his doctorate from the University of Koblenz-Landau after completing his studies in computer science with a major in business informatics. His academic journey included research assistant positions with Professor Petra Schubert at Koblenz-Landau (Business Application Systems Research Group) and Professor Stefan Klein at the University of Münster (Chair of Business Informatics and Interorganisational Systems). Prior to his academic career, he gained industry experience as a process consultant at Debeka Versicherungsvereinschaft A.G. and as a managing consultant at CONET Solutions GmbH specializing in architecture management and IT strategy. His research focuses on process management , architecture management , interorganisational systems , and operational application systems . Professor Frick has developed particular expertise in B2B integration, with extensive publications on maturity models for interorganizational systems. His work bridges theoretical frameworks with practical implementation challenges, often examining specific industry applications like furniture manufacturing. Analysis of Professor Frick's publication record reveals an evolution from ERP systems research (2008-2010) toward specialized work on B2B integration frameworks. His recent publications (2022-2024) demonstrate increasing attention to process improvement in central banking operations, robotic process automation in public administration, and the operationalization of configuration analysis in information systems, reflecting the evolving needs of public sector digital transformation. Professor Frick's teaching portfolio includes courses on business informatics, data management, research and teaching methods, and preparing academic texts and presentations. His industry experience as a process consultant and IT strategy specialist significantly informs his applied teaching approach, emphasizing real-world applications of theoretical concepts relevant to central banking operations.

• Neurophysics
• Computational Neuroscience
• Brain Imaging
• +3 more

Dr. Baris Evren Ugurcan serves as a Research Fellow in the Department of Neurophysics at the Max Planck Institute for Human Cognitive and Brain Sciences, located in Leipzig, Germany. His research centers on neurophysics, an interdisciplinary domain applying physical principles to unravel nervous system mechanisms. Key focus areas include computational neuroscience for modeling neural networks, advanced brain imaging techniques, and the biophysical dynamics of cognitive processes. This work bridges physics, neuroscience, and data science to decode complex brain functions. No scientific awards, student advisement records, or specific publications were documented in the provided text.

Johannes NaumannView profile

Professor

• Educational Research Methods
• Competency Diagnostics
• Cognitive Processes in Reading Comprehension
• +5 more

Prof. Dr. Johannes Naumann serves as a faculty member at the University of Wuppertal, specializing in educational research methodologies with emphasis on competency diagnostics and digital learning environments. His institutional role includes active supervision of doctoral candidates and undergraduate consultation services. Research focuses on cognitive efficiency during reading and listening comprehension, problem-solving mechanisms, and navigational behaviors in digital text environments. His work bridges educational psychology and ICT literacy assessment, examining how learners process information across traditional and digital media formats with particular attention to text comprehension dynamics. Through structured consultation systems using Moodle and Zoom, Prof. Naumann provides bi-weekly doctoral methods guidance and semester-based student advising. His mentorship framework demonstrates commitment to methodological rigor in educational research while adapting to digital collaboration tools for academic supervision.

• Artificial Intelligence
• Machine Learning
• Argument Mining
• +7 more

Marco Lippi is a Professor affiliated with the University of Modena and Reggio Emilia (Italy) and the Einaudi Institute for Economics and Finance. His research spans artificial intelligence, machine learning, and their applications in domains like legal technology, transportation, and healthcare. He collaborates extensively with institutions globally, focusing on interdisciplinary projects that bridge technical innovation and societal challenges. Research Interests: Lippi's work emphasizes neuro-symbolic AI, argument mining, and ethical AI applications. He explores how AI can enhance consumer protection, improve urban transport systems, and contribute to medical diagnostics. His recent projects include autonomous systems development, causality learning in smart factories, and analyzing social media for disaster response. Publications Trends: His articles reflect a strong focus on AI ethics, legal informatics, and machine learning applications. Notable contributions include frameworks for detecting unfair contract clauses, causal modeling in industrial IoT, and human-robot interaction pipelines. His work often combines theoretical advancements with practical implementations in real-world settings. Affiliations & Collaborations: Collaborations span academia and industry, including projects with Università di Bologna and the Einaudi Institute. His team frequently addresses cross-disciplinary challenges, such as integrating legal reasoning with machine learning and optimizing smart city infrastructure through data-driven approaches.

• Cognitive Aging
• Prospective Memory
• Executive Functions
• +3 more

Alexandra Hering is a Researcher affiliated with the Faculty of Psychology and Educational Sciences at the University of Geneva . She holds a Diploma (equivalent to MSc) in Psychology from Technical University of Dresden , where she also completed her undergraduate studies (2006-2011) under the supervision of Prof. Dr. Matthias Kliegel. Her research focuses on cognitive aging, particularly prospective memory and executive functions, exploring both behavioral and neuroscientific perspectives. She aims to understand lifespan development of cognitive control functions and enhance them through interventions. Professional milestones include roles as a research assistant at the Department of Developmental Psychology (TU Dresden, 2011-2012) and as a PhD student/research assistant at the University of Geneva's Cognitive Aging Lab since 2012. Key awards include the Lohrmann medal and Werner Straub certificate (both 2012), along with scholarships from the Roland Ernst Foundation and German National Academic Foundation. Her work bridges cognitive neuroscience with applied gerontology, emphasizing translational research for improving aging outcomes. Advising and grants: As a PhD student, she collaborates closely with Prof. Dr. M. Kliegel. Her fellowship at the Rotman Research Institute (Toronto, Canada) highlights her international engagement. She is actively involved in the Cognitive Aging Lab, contributing to studies on memory decline and intervention strategies. No grants are explicitly mentioned in the provided texts.

Alexander DrewitzView profile

Professor

• Probability Theory
• Percolation Theory
• Random Geometric Structures
• +4 more

Prof. Dr. Alexander Drewitz is a Professor in the Department of Mathematics and Computer Science at the University of Cologne, specifically within the Division of Mathematics. His research focuses on probability theory, with primary interests in percolation theory, random geometric structures, transport processes in random media, and applications of high-dimensional probability to data science. He has held prior positions as an ETH Fellow at ETH Zurich and as a J.F. Ritt Assistant Professor at Columbia University. His work bridges theoretical advancements with practical applications, particularly in understanding critical phenomena and stochastic processes in complex systems. Education: Doctorate in Mathematics (details not explicitly provided in text). Research Interests: Prof. Drewitz explores percolation models, Gaussian free fields, random interlacements, and concentration of measure phenomena. His studies often address geometric and dynamic properties of random structures, with implications for data science and statistical physics. Recent work includes investigations into cluster volumes, arm exponents, and universality classes in percolation models. Publications Trends: His 15 most recent articles (2008–2025) reflect a focus on Gaussian free fields, random interlacements, branching processes, and long-range correlations. Key themes include percolation thresholds, invariance principles, and high-dimensional asymptotics. Grants & Activities: Organized conferences like 'Long-range phenomena in percolation' (2024) and 'Geometric and Topological Properties of Random Algebraic Varieties' (2023). Co-founded the Scientific Network on Stochastic Processes on Evolving Networks. Labs/Teams: Active in the Center for Data and Simulation Science at Cologne, contributing to interdisciplinary research on random geometry and data-driven methods. Leads the stochastics seminar and Bonn Cologne Mathematics-Physics seminar.

Simon UllrichView profile

Research Fellow

• Molecular Biology
• Gene Expression
• Cell Biology
• +3 more

Dr. Simon Ullrich is a Research Fellow at the Biozentrum Martinsried, Ludwig Maximilian University of Munich (LMU Munich), affiliated with the Human Biology and BioImaging department. His research interests center on molecular mechanisms of gene expression, particularly focusing on the thyroglobulin gene and spatial organization of transcribed genes in eukaryotic cells. He collaborates with prominent researchers like Dr. Irina Solovei and Dr. Hendrik Leonhardt, contributing to studies published in high-impact journals such as J Cell Sci and Nature Cell Biology . His work explores transcriptional regulation, nuclear architecture, and the interplay between gene expression and cellular function. Simon Ullrich has no explicitly listed scientific awards or grants in the provided texts. He is part of the Solovei Group, which investigates nuclear organization and gene activity, and the CALM initiative (assuming an acronym for a research team or project). His contact details include an office at room B 02.052 in the Biozentrum, with telephone and fax numbers provided. No formal advising roles or students are documented here.

• Music Processing
• Music Information Retrieval
• Audio Signal Processing
• +1 more

Prof. Dr. Meinard Müller is a Professor at Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), leading the Chair of Semantic Audio Signal Processing within the International Audio Laboratories Erlangen (a joint institute with Fraunhofer IIS). He specializes in Music Processing, Music Information Retrieval, Audio Signal Processing, and Motion Processing. His work bridges fundamental research and practical applications in music technology, including audio decomposition, source separation, and computational musicology. Research Interests: Focus on algorithmic methods for music analysis, audio feature extraction, and real-time audio processing. Teaching: Supervises a large group of doctoral and master’s students, offering courses on audio processing and music technology. Awards: Recognized as an IEEE Fellow (2020) and ACM Senior Member (2020). His research group develops open-source tools like the FMP Notebooks and libfmp, and maintains datasets such as the Wagner Ring Dataset and Dagstuhl ChoirSet. He actively contributes to conferences like ISMIR and ICASSP, with over 200 publications in top-tier journals and conferences.

• Corpus architectures
• Historical corpora
• Parallel corpora
• +5 more

Martin Klotz is a Researcher at the Institute for German Language and Linguistics, Humboldt University of Berlin, affiliated with the Collaborative Research Center (SFB1412) and the Research Unit for Emerging Grammars (RUEG). His work focuses on corpus linguistics, computational linguistics, and digital humanities infrastructure. He holds an MSc in Cognitive Systems (2019, University of Potsdam) and a BA in German Linguistics & Computer Science (2015, Humboldt University). Key research interests include corpus architectures, historical and parallel corpora, language modeling for non-standard varieties, and research software engineering. He contributes to projects like the RUEG corpus and FALKO learner corpus, emphasizing multilingual and multimodal corpus development. His publications span corpus design, software tools (e.g., Annatto), and analyses of heritage languages. He actively organizes academic events, such as the 2021 DGfS short working group on contrastive corpus methodology. He participates in lab collaborations like Deutsch Diachron Digital and contributes to open-source corpus tools. His work bridges computational methods with linguistic theory, focusing on dynamic language systems.