Find Academic Supervisors

Haipeng CaiView profile

Associate Professor

• Software Engineering
• Program Analysis
• Software Security
• +5 more

Haipeng Cai serves as an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, SUNY. His academic work spans software engineering, program analysis, and software security with particular emphasis on adaptive analysis techniques for mobile and distributed systems. His research interests center on adaptive/data-driven static and dynamic analysis for security applications targeting mobile apps, distributed systems, and multilingual software. Current work focuses on enhancing vulnerability detection, cross-language bug analysis, and automated security tooling through machine learning approaches. His lab produces tools like VinJ for vulnerability data generation and PolyFax for multilingual software characterization. Recent publications reveal strong trends in multilingual system security and AI-enhanced analysis , with 15+ papers since 2022 addressing cross-language vulnerabilities, Android security, and learning-based vulnerability detection. His work bridges theoretical program analysis with practical security applications in real-world software ecosystems. As an active academic contributor, he serves on program committees for major conferences including ASE, ICSE, and FSE, and will deliver a keynote at PROMISE 2025. His leadership includes journal-first paper chair roles and session chair positions at top software engineering venues. Dr. Cai maintains an active research presence through his personal website , GitHub repository ( github.com/chapering ), and academic social media profiles, with consistent contributions to the software engineering research community since 2018.

Christian BoulangerView profile

Research Fellow

• Sociology of Law
• Socio-Legal Studies
• Comparative History of Socio-Legal Studies
• +7 more

Christian Boulanger serves as a Research Fellow and Department Coordinator at the Max Planck Institute for Legal History and Legal Theory in Frankfurt am Main, Germany, a position he has held since November 2020. His work bridges traditional legal scholarship with cutting-edge digital humanities methodologies, focusing on the empirical analysis of legal theory production. Boulanger earned his PhD in political science from Free University of Berlin after studying modern history, law, and political science in Heidelberg, Berlin, and Seattle. His academic career includes significant roles at Humboldt University of Berlin where he served as Academic Coordinator for the Leibniz Prize Project 'Recht im Kontext' (2018-2020), Academic Officer at the Forum Transregionale Studien (2012-2016), and Research Associate at various law-related institutes including the Law and Society Institute Berlin. His research interests center on the sociology of law and socio-legal studies, with particular emphasis on comparative historical approaches to legal scholarship. Boulanger has pioneered the application of bibliometric and scientometric methods to analyze legal doctrine, developing innovative network analysis techniques to map the evolution of socio-legal thought across national contexts. His work on comparative constitutionalism and judicial studies provides critical insights into how legal knowledge circulates internationally. Boulanger's publication record reveals a methodological trajectory toward increasingly sophisticated digital humanities approaches to legal scholarship. His recent work demonstrates how citation network analysis can uncover hidden patterns in legal theory development, particularly through his Legal Theory Knowledge Graph project which systematically maps scholarly connections in socio-legal studies. This research has significant implications for understanding how legal knowledge is produced and disseminated across different national traditions. Boulanger leads several major research initiatives including the Legal Theory Knowledge Graph project, 'A different legal science - German sociology of law after 1945', and the international collaboration 'Socio-legal trajectories in Germany and the UK: cultures, actors and institutions'. These projects collectively examine how socio-legal scholarship has evolved differently in various national contexts while maintaining transnational connections. His methodological innovations in bibliometric analysis of legal literature represent a significant contribution to the field of digital legal studies.

• Art Education
• Sculpture Education
• Material Studies in Art
• +7 more

Prof. Dr. Sara Hornäk is Professor for "Didactics of Fine Arts" at the Düsseldorf Art Academy (Kunstakademie Düsseldorf) since April 2020, where she also serves as Vice Rector since 2023. Previously, she was Professor of Art Education at the University of Siegen (2018-2020) and Professor of Art and its Didactics with a focus on Sculpture at the University of Paderborn (2006-2018). Her educational background includes: Studied sculpture at the Düsseldorf Art Academy under Klaus Rinke and Fritz Schwegler (1990-1997) Studied philosophy at the Heinrich Heine University in Düsseldorf (1990-1997) Master student of Fritz Schwegler (1995) First State Examination in Art and Philosophy (1997) Second State Examination in Art and Philosophy (2000) Doctorate in Philosophy at the Düsseldorf Art Academy on "Spinoza and Vermeer. Immanence in Philosophy and Painting" (2003) Prof. Hornäk's research focuses on the intersection of artistic practice and art education, with particular emphasis on sculptural action, material studies, and spatial discourses. She explores how artistic processes can inform educational methodologies, especially in the context of inclusion and digital transformation. Her work bridges philosophy, particularly Spinozist thought, with practical art education, examining concepts of immanence, sensory perception, and the relationship between body, material, and space. Her recent publications demonstrate a strong focus on transmedia perspectives on bodily and spatial experiences, inclusive art education practices, and the theoretical foundations of art didactics. There's a clear trajectory from her early work on sculpture and philosophy to her current exploration of digital and analog approaches in art education, with consistent attention to materiality, spatial dynamics, and inclusive practices. Her notable recognition includes: Award for Innovation and Quality in Teaching (2014), received together with Prof. Dr. HJ Schmid, Dr. Klemp, A. Heggemann, and J. Lohn Prof. Hornäk has been deeply involved in teacher training and educational development throughout her career. She has led significant projects including the "Digital Teacher Training" project (2019-2020) funded by the BMBF and the "ComeArts" project (2023) on digital education. She has served in numerous administrative roles including Deputy Equal Opportunities Officer (2021-2023), participation in accreditation procedures, and membership in various appointment committees. Her work significantly influences art teacher education in Germany through curriculum development, particularly in the practical semester and research-based learning formats. Prof. Hornäk has organized and participated in numerous conferences and discussion forums, including the "SILOGESPRÄCHE" artistic and art-historical discussion forum at the University of Paderborn (2008-2019), various "Kunstpädagogischer Tag" (Art Education Days) events since 2008, and the "Ringvorlesung Lernen ohne Lehren – Kunst vs. Pädagogik?" (2021). These initiatives create collaborative spaces for exploring the theoretical and practical dimensions of art education.

Sabine PfeifferView profile

Professor

• Sociology of Work
• Digital Transformation
• Industry 4.0
• +5 more

Prof. Dr. Sabine Pfeiffer holds the Chair of Sociology (Technology – Work – Society) at the Nuremberg Campus of Technology, part of Friedrich-Alexander University Erlangen-Nuremberg. She is an active researcher and thought leader in the sociology of work, with particular expertise in digital transformation, Industry 4.0, and labor capacity. Her work bridges academic research and practical applications in industry, with significant collaborations including the Volkswagen study and advisory roles with government bodies. Professor Pfeiffer's research interests focus on how digitalization transforms work structures and qualifications across various sectors including mechanical engineering, office work, and critical infrastructure. She has developed the Labouring Capacity Index (AV-Index) as a tool to measure living labor capacity and experience as resources for Industry 4.0 transition. Her work examines the intersection of technology, work organization, and social inequality, with particular attention to how workers navigate digital transformation in different occupational contexts. Her recent publications reveal consistent research trends examining the dual transformation of digitalization and sustainability, with particular focus on Volkswagen as a case study. The work explores transformation experience, resources, and readiness across multiple dimensions. She also investigates how AI is perceived and integrated in workplaces, the evolution of office work in digital environments, and the measurement of work through wearables and digital assistance systems. Best Paper Award for keynote speech on 'Work 4.0' at VET Conference in Rostock (2017) Nominated for 'Influencer of the Year 2013' by the Strategy Circle for Mechanical and Plant Engineering Professor Pfeiffer serves on the Council of the World of Work appointed by the Federal Ministry of Labour and Social Affairs, and recently joined the board of directors at bidt (Bavarian Institute of Technology Assessment). She previously served on the Research Advisory Board of the Industry 4.0 Platform and advisory boards at CIDAS. Her research is frequently funded through collaborations with institutions including BIBB (Federal Institute for Vocational Training), WZB Berlin Social Science Center, and industry partners like VDMA. Her work is conducted through the Labouratory research group at the Nuremberg Campus of Technology, which focuses on empirical studies of work in the digital age. The team employs mixed methods approaches including representative surveys, qualitative case studies, and workplace observations to understand the changing nature of work. Recent projects include the diGAP project on good agile project work and studies on digital transformation in mechanical engineering and office work sectors.

• Business Communication
• Intercultural Management
• Virtual Team Dynamics
• +4 more

Professor Yoany Beldarrain serves as a faculty member at Reutlingen University's ESB Business School, holding the position of Head of Languages for multiple international business programs including BSc International Business, MSc International Business Development, MSc International Accounting, Controlling and Taxation, and MBA International Management Full-Time. She leads the AACSB accreditation's Assurance of Learning initiatives and serves as the university's Equal Opportunities Representative within the Diversity division. PhD from Capella University, Minneapolis (Honors: 4.0) MS from Nova Southeastern University, Ft. Lauderdale (Honors: 3.92) BS from Florida International University, Miami (Honors: 3.36) Her research focuses on critical contemporary business challenges including intercultural virtual teaming, digital upskilling for workplace inclusion, women in leadership roles, and compensating for nonverbal communication gaps in virtual environments. She investigates how organizations can train agile workforces and implement HR agility in rapidly changing business landscapes, with particular attention to cross-cultural dimensions of remote work and digital communication. Analysis of her recent publications reveals strong thematic continuity in virtual team dynamics and digital workplace adaptation, with increasing emphasis on Eastern-Western cultural comparisons in remote work satisfaction and HR digital transformation in SMEs. Her work bridges theoretical frameworks with practical business applications, particularly in global management contexts. Fulbright-Hays Scholarship for University of Central Florida’s Bolivia Project Florida Foreign Language Association Hall of Fame inductee Multiple scholarship awards including Florida Department of Education/Spain Embassy funding Kappa Delta Phi Honor Society recognition Professor Beldarrain leads significant accreditation and diversity initiatives while maintaining active research and publication output. Her practical consulting experience in multilingual business communication (Spanish, Portuguese, English) and previous ownership of Florida-based corporations informs her applied research approach. She directs current projects examining virtual nonverbal communication compensation, HR agility, digital upskilling, and women's leadership development. Her research team focuses on cross-cultural virtual collaboration challenges, with particular attention to how Eastern and Western cultural frameworks impact remote work satisfaction and how SMEs can overcome barriers to digital HR transformation. The team employs mixed-method approaches combining qualitative cultural analysis with quantitative workforce metrics.

Boike RehbeinView profile

Professor

• Globalization
• Social Structure
• Sociological Theory
• +1 more

Prof. Dr. Boike Rehbein was a Full Professor of Society and Transformation in Asia and Africa at Humboldt University of Berlin. His academic journey included a Habilitation in sociology focusing on globalization in Laos from 2000-2004, a Ph.D. in philosophy from the University of Freiburg from 1994-1996, and studies in philosophy, sociology, and history at multiple European institutions including Freiburg, Göttingen, Frankfurt, Paris and Berlin. His research centered on globalization, social structure, sociological theory, and Mainland Southeast Asia. He explored how global forces transform local societies, particularly through socioeconomic structures and cultural change. Prof. Rehbein was multilingual, fluent in German, English, French, Lao, and Thai with basic skills in several other languages. His extensive publications demonstrate consistent focus on globalization's societal impacts, particularly in Southeast Asia, with theoretical contributions to critical sociology and inequality studies spanning economics, culture, and political systems.

Tim LandgrafView profile

Professor

• Machine Learning
• Robotics
• Computer Vision
• +4 more

Prof. Tim Landgraf is a Professor of Computer Science at Freie Universität Berlin, affiliated with the Dahlem Center for Machine Learning and Robotics. He specializes in artificial intelligence, robotics, and biohybrid systems, focusing on collective behavior, machine learning, and animal-robot interactions. His work bridges computational methods with biological systems, as seen in studies of honeybee communication and fish behavior. Key research interests include self-supervised learning algorithms, robotic swarm dynamics, and applications of AI in education and healthcare. Prof. Landgraf has led projects like the Biorobotics Lab and contributed to initiatives such as the H2020-funded HIVEOPOLIS. He has been honored with the 'Hochschullehrer des Jahres' (Professor of the Year) award in 2020. Recent publications emphasize biohybrid systems, explainable AI, and counterfactual explanations, reflecting his commitment to interdisciplinary innovation. His courses, such as 'Self-Supervised Learning,' highlight theoretical and practical aspects of cutting-edge machine learning techniques.

• Internet of Things
• RFID and antenna design
• Wireless sensor networks
• +5 more

Turke Althobaiti is an active researcher and faculty member whose recent work is concentrated in electrical and computer engineering, with strong interdisciplinary links to computer science and biomedical informatics. Based on co-author affiliations and publication scopes, he is associated with King Saud University, College of Engineering, Department of Electrical Engineering . Research Interests: Design of UHF RFID antennas and Internet-of-Things sensing systems. Localization and communication in smart cities, including non-line-of-sight mitigation and 5G/6G networks. Machine-learning-driven healthcare applications—ranging from COVID-19 detection via chest X-rays to arrhythmia and pneumonia screening. Assistive technologies for the visually impaired, employing contactless RF sensing and AI-based navigation aids. Cloud-security solutions, specifically ensemble intrusion-detection systems against flash-crowd attacks. Cross-disciplinary forays into metabolomics biomarkers and human-animal affective computing. Across 15 recent publications (2019-2025), Althobaiti demonstrates a clear trajectory toward AI-enabled sensing and communication . Workflows combine hardware-level innovations (antennas, RFID tags, USRP radios) with data-level advances (deep learning, ensemble methods, privacy-preserving techniques) to address real-world problems in healthcare, smart cities, and assistive living. Scientific Awards & Recognition: No specific awards are listed in the provided text. Advising & Grants: While no explicit list of students or funded projects is given, the high volume of multi-institutional collaborations and senior-author positions suggest active supervision of graduate researchers and participation in funded projects, most likely supported by the Deanship of Scientific Research at King Saud University or similar Saudi funding bodies. Laboratories & Teams: Though no formal laboratory names are provided, the breadth of hardware prototyping, RF experimentation, and AI model development implies access to well-equipped laboratories in RF/microwave engineering, embedded systems, and computational intelligence.

Oded GhitzaView profile

Professor

• Cognitive Neuroscience
• Speech Perception
• Neural Oscillations
• +3 more

Prof. Oded Ghitza is a Professor at the Max Planck Institute for Empirical Aesthetics, affiliated with the Department of Neuroscience. His research focuses on neural mechanisms underlying speech perception, particularly the role of cortical oscillations in segmenting and decoding speech. He investigates theta and delta band activities in syllabic and prosodic segmentation models, aiming to bridge computational principles with psychophysical data. His work addresses requirements for predictive models and emerging questions in this field. Research interests include the interplay between neural oscillations and auditory processing, with emphasis on how temporal dynamics in the brain structure speech perception. He has participated in interdisciplinary events like the 2017 Symposium on Neural Oscillations in Speech and Language Processing in Berlin. No specific awards or grants are listed, though his affiliation with the Max Planck Institute suggests involvement in collaborative research networks. He contributes to labs like the Brain PIE Lab, focusing on neural and environmental rhythms. Advising and student mentorship details are not provided in the text.

Christian MeilickeView profile

Researcher

• Artificial Intelligence
• Knowledge Graphs
• Ontology Matching
• +5 more

Christian Meilicke is a Researcher at the Data and Web Science Group (DWS) within the School of Business Informatics and Mathematics at the University of Mannheim. His work focuses on artificial intelligence, ontology matching, and knowledge graph completion, with recent contributions to rule-based methods and their applications in business process modeling. He is heavily involved in teaching, coordinating courses such as 'Modeling Business Processes' and 'Artificial Intelligence.' His research interests include the integration of open and structured knowledge, probabilistic reasoning frameworks, and improving the efficiency of knowledge base systems. He has explored topics like inductive logic programming, automated debugging of ontologies, and the use of Markov Logic Networks for root cause analysis in IT systems. In terms of trends, his recent publications emphasize combining symbolic rule-based approaches with machine learning for knowledge graph tasks, such as activity recommendation and link prediction. He also investigates explainability in embeddings and temporal forecasting in knowledge graphs. His work often bridges theoretical advancements with practical applications in business informatics and data integration. No scientific awards have been explicitly mentioned. Christian has advised no formal students listed here but has contributed to teaching and mentoring through his courses and tutorials. His research and teaching are closely tied to the DWS Group, which focuses on data-centric AI and semantic technologies.

• Semantic Web
• Data Integration
• Ontology Matching
• +4 more

Dominique Ritze is a Research Fellow at the Data and Web Science Group of the University of Mannheim. Her research focuses on ontology alignment, semantic web technologies, linked open data integration, and knowledge organization systems. She collaborates with Prof. Dr. Christian Bizer and Prof. Dr. Kai Eckert on projects like InFoLiS II, aiming to advance data integration and semantic web applications. Education: MSc Computer Science (Diplom-Informatikerin) Research Interests: Dominique’s work bridges theoretical and applied aspects of semantic web technologies. Key areas include ontology evaluation frameworks, cross-domain data integration, and the development of tools for provenance tracking and data reuse. She has contributed to methodologies for aligning knowledge organization systems (KOS) and enhancing discovery systems with linked data. Publications Trends: Her articles from 2010-2015 emphasize ontology alignment (e.g., OAEI evaluations), semantic web applications, and data integration techniques. Notable contributions include the ICE-Map visualization for KOS evaluation and the Mannheim Search Join Engine for cross-website table integration. Awards: No scientific awards explicitly listed in the provided texts. Projects & Teams: Active in the Data and Web Science Group, leading projects on web table matching and semantic data integration. Collaborates with global research networks through initiatives like the Ontology Alignment Evaluation Initiative.

• Word Formation
• Language Change
• Foreign Words
• +3 more

Dr. Carmen Scherer is a Senior Academic Councilor at the German Institute of Johannes Gutenberg University Mainz, specializing in German linguistics with a focus on descriptive and historical linguistics. Her academic journey includes a BA in Business Administration, followed by studies in German, French, philosophy, and German as a foreign language. She has held visiting professorships in Göttingen (Historical Linguistics) and Bonn (German Linguistics). Her research emphasizes word formation processes, language change dynamics, foreign word integration, and punctuation studies. Education highlights include degrees from universities in Marburg and Poitiers, followed by a doctorate on 'Word Formation Change and Productivity' (2004). She has authored/co-edited influential books like Introduction to Corpus Linguistics and The Interface of Morphology and Written Language . Key research interests involve morphological productivity, loanword adaptation, and the interplay between orthography and word structure. Her extensive publications (over 20 essays/reviews since 2003) explore topics such as the history of verb suffixes, apostrophe usage, and compound word spelling. She actively participates in international conferences, delivering lectures on linguistic topics like foreign word gender assignment and temporal prefixation in German. She also serves on academic boards and contributes to research projects focusing on language variation and corpus linguistics. Professional roles include leadership in the Mainz Linguistics Circle and collaborations across European academic networks. Her work bridges theoretical linguistics with practical applications in language teaching and normative standards, addressing contemporary issues in German language evolution and multilingual influences.

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +7 more

Pascal Knierim is a researcher in the Department of Computer Science at Ludwig Maximilian University of Munich, Germany. He completed his PhD at the same institution in 2020 with a dissertation titled "Enhancing interaction in mixed reality: the impact of modalities and interaction techniques on the user experience in augmented and virtual reality." His research focuses on human-computer interaction, particularly in virtual and augmented reality environments, with an ORCID identifier 0000-0001-9578-9953. Knierim's research interests span virtual reality, augmented reality, mixed reality, ubiquitous computing, and extended reality systems. He has made significant contributions to understanding user interaction in immersive environments, privacy considerations in VR/AR, biometric identification using thermal imaging, and universal interaction frameworks. His work often combines technical innovation with user-centered design principles, resulting in numerous publications at top-tier venues including CHI, MUM, UbiComp, and IEEE Pervasive Computing. Recent work has explored content blocking in extended reality, social anxiety in VR proxemics, user awareness of privacy permissions, and framework development for ubiquitous research preservation. Knierim has collaborated extensively with researchers such as Thomas Kosch, Florian Alt, and Albrecht Schmidt, forming a productive research group within LMU Munich's computer science department. He has also contributed to the academic community through editorial roles for major conferences including Mensch und Computer 2023 and the 22nd International Conference on Mobile and Ubiquitous Multimedia (MUM 2023), demonstrating leadership within his research community. His research demonstrates a strong commitment to both theoretical advancement and practical applications of immersive technologies, with particular attention to user experience, privacy, and accessibility considerations.

Georg GrohView profile

Adjunct Professor

• Applied Computer Science
• Social Signal Processing
• Social Network Analysis
• +4 more

Georg Groh is an Adjunct Professor at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology . His research focuses on modeling social context, social interaction mediated by IT systems, and ML-based natural language processing. He holds a doctorate (2005) and habilitation (2012) from TUM, with prior studies in physics and computer science. Key research areas include social signal processing, network analysis, and bias detection in AI systems. Notable awards include the 2019 Supervisory Award and 2016 Honorary Teaching Certificate. His work bridges computational methods with societal impacts, particularly in health informatics and ethical AI. Recent projects explore LLM hallucination detection, bias profiling, and cross-lingual text classification. Education: PhD in Computer Science (2005), TUM Habilitation in Computer Science (2012), TUM Studies in Physics (University of Kaiserslautern) and Computer Science (Universities of Hamburg, Kaiserslautern, TUM) Research Interests: Groh’s work spans social computing, NLP, and ethical AI . Current projects address bias in language models, hate speech detection, and data-driven health interventions. His methodologies emphasize contextual analysis of social interactions, leveraging ML and graph-based techniques. Awards: 2nd place Supervisory Award (2019) Best Paper Awards (2016, 2008) Advising & Grants: Advised on projects like Nutrilize (nutrition recommender system) and contributed to EU-funded initiatives on mHealth systems. Active in designing AI systems for dietary logging and stress management.

• Innovation Management
• Digital Transformation
• Decision-Making Biases
• +5 more

Prof. David Antons is a Professor at the University of Bonn and holds an affiliated position at RWTH Aachen University's Institute for Technology and Innovation Management (TIM). He previously served as a former co-director of TIM and held visiting roles at the University of Cambridge and Melbourne University. His research focuses on innovation management, decision-making biases, and digital transformation, with notable work on hybrid intelligence and human-AI collaboration. Education: PhD in Technology and Innovation Management (RWTH Aachen, 2013), Habilitation in text mining for management research (RWTH Aachen). Research Interests include organizational climate, psychological factors in decision-making, and applications of natural language processing. His work bridges academia and industry, collaborating with sectors like healthcare, finance, and civil engineering. Awards include the RWTH Lecturer Award for distinguished teaching and research, multiple DAAD scholarships, and recognition for interdisciplinary work. His research has been shortlisted for prestigious awards like the 'Innovating Innovation' Award by HBR/McKinsey. Key contributions address organizational identity threats, agile vs. stage-gate development, and leveraging machine learning for service innovation. His studies on infection control in hospitals highlight impacts of organizational practices on MRSA rates.