Find Academic Supervisors

• Operations Research
• Scheduling Algorithms
• Discrete-Continuous Scheduling
• +6 more

Professor Joanna Józefowska is a distinguished academic at Poznań University of Technology, where she serves as a full professor in the Faculty of Computing and Telecommunications, Institute of Computer Science. With a career spanning over three decades since completing her doctoral dissertation in 1990, she has established herself as a leading expert in operations research and scheduling algorithms. Her research spans several key areas within operations research, with particular emphasis on: Discrete-continuous scheduling problems Resource allocation and optimization Just-in-time scheduling models Applications of apportionment theory Energy-efficient computing systems Quantum approaches to transportation problems Professor Józefowska's recent work demonstrates her ability to adapt traditional operations research methods to address contemporary technological challenges, with publications in 2022-2023 focusing on energy-efficient computing systems and quantum approaches to electric vehicle charging infrastructure. Her research output shows consistent productivity throughout her career, with publications appearing in reputable journals such as European Journal of Operational Research, Annals of Operations Research, and Computers and Operations Research. As an academic mentor, Professor Józefowska has successfully guided multiple doctoral students to completion, with dissertations covering topics ranging from ontology enrichment to discrete resource allocation. Her supervision has helped develop the next generation of researchers in operations research and computer science, contributing to the academic ecosystem at Poznań University of Technology and beyond. Her scholarly contributions extend beyond research and supervision to include editorial roles for significant publications in her field, demonstrating recognition of her expertise by the broader academic community. Professor Józefowska continues to actively contribute to the advancement of knowledge in operations research while maintaining her position as a respected academic at one of Poland's leading technical universities.

• Theoretical Physics
• Computational Physics
• Condensed Matter Physics
• +5 more

Professor Igor Schapiro is a Research Professor at the Faculty of Physics, Technical University of Dortmund. His office is located in room P2-02-422 at Otto-Hahn-Str. 4, 44227 Dortmund, Germany. Professor Schapiro's research focuses on the theoretical and computational description of light-induced processes in condensed matter. His work spans both application and method development: Application: studying excited state reactions in solvated molecules and chromophore-protein complexes as they occur in nature Method development: creating advanced multireference methods for accurate description of electronic wavefunctions at critical points His research group specializes in handling degeneracies of electronic states, particularly conical intersections, which are pivotal in photochemical reaction pathways. They employ multiscale simulation techniques capable of modeling systems with thousands of atoms, bridging quantum mechanical accuracy with computational feasibility for complex biological and chemical systems. Professor Schapiro maintains an active research presence within the Condensed Matter Physics research focus area at TU Dortmund, collaborating with other faculty members in the department. His group's work contributes to fundamental understanding of light-matter interactions with potential applications in photobiology, materials science, and quantum chemistry. For more information about his research activities and group members, visit the Schapiro Group website at https://cmt.physik.tu-dortmund.de/schapiro-group/ .

Jürgen DassowView profile

Professor

• Formal languages
• Regulated rewriting
• Lindenmayer systems
• +7 more

Jürgen Dassow is a Professor for Theoretical Computer Science at the Faculty of Computer Science, Otto-von-Guericke-University of Magdeburg, Germany. He has held this position since 1992 and previously served as Rector of the university from 1993 to 1996. His academic career spans over five decades, beginning with studies in mathematics at the University of Rostock in the 1960s. Professor Dassow's research focuses on formal languages, regulated rewriting, Lindenmayer systems, grammar systems, syntactical complexity, and biocomputing . His work has significantly contributed to theoretical computer science, particularly in the mathematical foundations of language theory and automata. He has maintained a prolific publication record with over 200 scientific papers and 4 monographs, including the influential 1989 work 'Regulated Rewriting in Formal Language Theory' co-authored with Gheorghe Păun. His recent research (2020-2023) continues to explore operational complexity, closure-involution operations, contextual grammars, and networks of evolutionary processors. These publications demonstrate his sustained engagement with cutting-edge theoretical problems in computer science. Professor Dassow has also been instrumental in organizing the international Descriptional Complexity of Formal Systems (DCFS) workshop series and has edited numerous proceedings volumes. Professor Dassow has been actively involved in the academic community through approximately 100 lectures at conferences and universities across 18 countries. His work bridges theoretical computer science with biological computing models, reflecting the interdisciplinary nature of modern theoretical research. His research group at the Otto-von-Guericke-University continues to advance knowledge in formal language theory, with recent publications addressing contemporary challenges in descriptional complexity and bio-inspired computational models. Professor Dassow's career exemplifies long-term dedication to advancing the theoretical foundations of computer science while maintaining relevance to emerging computational paradigms.

Carles Noguera ClofentView profile

Associate Professor

• Mathematical Logic
• Many-valued Logics
• Fuzzy Logic
• +3 more

Carles Noguera Clofent serves as Associate Professor in the Department of Information Engineering and Mathematics at the University of Siena since 2022. His academic trajectory includes lecturing at the University of Lleida (2006-2007), postdoctoral research at the University of Siena (2007-2009), junior research at the Artificial Intelligence Research Institute (2009-2012), and scientist positions at the Czech Academy of Sciences (2013-2022) where he led funded projects and taught at Charles University. His educational foundation comprises: Mathematics degree from University of Barcelona (2001) Ph.D. in Logic and Foundations of Mathematics from University of Barcelona (2006) Philosophy degree from University of Barcelona (2007) A logician bridging mathematics, philosophy, and computer science, his research pioneers algebraic structures in many-valued logics with applications in AI. Key contributions include fuzzy logic semantics, temporal reasoning systems, and probabilistic truth-value frameworks, establishing him as a leading theorist in non-classical logics. Analysis of his 2024-2025 publications reveals sustained innovation in many-valued logic foundations, with growing emphasis on computational applications. Work spans pure theory (e.g., asymptotic truth-value laws) to implementable systems (e.g., tableau methods for interval temporal logic), demonstrating seamless integration of abstract mathematics with AI/CS challenges. He has directed multiple research projects at the Czech Academy of Sciences while maintaining teaching commitments in Prague institutions. Current advising activities and grant details beyond the Czech period remain unspecified in available materials. His institutional affiliations highlight enduring ties to the Artificial Intelligence Research Institute (IIIA-CSIC) and Czech Academy of Sciences, where he developed core methodologies later refined at Siena for logic-based AI systems.

Andrzej IndrzejczakView profile

Professor

• Proof Theory
• Sequent Calculus
• Modal Logics
• +7 more

Professor Andrzej Indrzejczak is a distinguished academic at the University of Lodz, where he serves as Head of the Department of Logic and Methodology of Sciences within the Faculty of Philosophy and History. With a career spanning over three decades, he has established himself as a leading expert in proof theory, sequent calculus, and non-classical logics. His educational background includes a Master's degree in Cultural Studies (1989), a Master of Philosophy (1993), a PhD in Philosophy (1997) with dissertation on "Sequential and assumption formalizations of propositional modal logics," and habilitation in 2007 with thesis "Hybrid deductive systems in modal logics." He was awarded the title of Professor of Humanities in 2015. Professor Indrzejczak's research focuses on proof theory for non-classical logics, particularly practical applications of proof methods and their combinations (hybrid systems), natural proof search methods, and algorithms. His work encompasses sequent calculus methodology, cut elimination techniques extended to non-classical logics, and anti-realist approaches to the problem of meaning of logical constants. He also investigates applications of non-classical logics in formal analysis of traditional philosophical problems, argumentation theory, and methodology of social sciences. His publications reveal deep expertise in modal logics, free logics, and the theoretical foundations of logical systems. His extensive publication record shows a strong trend toward developing proof-theoretic approaches to definite descriptions and complex terms, with recent work focusing on bisequent calculi, cut elimination theorems, and formalization of multi-valued logics. His research bridges philosophical questions with rigorous logical formalization, particularly in the areas of hybrid logic, temporal reasoning, and logical ontology. The progression from modal logics to definite descriptions demonstrates his expanding research scope while maintaining technical rigor. Professor Indrzejczak has received significant research funding, including an ERC Advanced Grant for his "Coming to Terms: Proof Theory Extended to Definite Descriptions and other Terms" project (2022-2027), valued at 1.6 million EUR, along with multiple National Science Center grants totaling over 470,000 PLN. This ERC project represents a major advancement in extending proof theory to handle complex terms. He currently supervises doctoral students and has served as a promoter for at least one doctoral thesis. His research team includes several collaborators including Dr. Nils Kürbis, Dr. Przemysław Wałęga, and Dr. Michał Zawidzki. He has led multiple research projects including "80 years of research on natural deduction and sequent calculi" and "Sequent and tableau deductive systems for non-classical logics." Professor Indrzejczak actively contributes to the academic community as Editor-in-Chief of Bulletin of the Section of Logic and Chairman of the Editorial Board for Studia Logica. He has organized numerous conferences including the "Non-Classical Logics. Theory and Applications" series spanning over 15 years, demonstrating his leadership in the international logic community.

Michał BaranowskiView profile

Lecturer

• microwave filters
• design optimization
• electronic design automation
• +3 more

Michał Baranowski serves as an Assistant lecturer at the Department of Microwave and Antenna Engineering within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology since 2021. He is simultaneously pursuing his PhD at the same institution, demonstrating a strong commitment to both teaching and research in microwave engineering. His research interests focus on advanced microwave component design, particularly in the areas of microwave filters, design optimization techniques, electronic design automation, finite element method applications, computational electromagnetics, and specialized microwave design methodologies. His work bridges theoretical concepts with practical manufacturing approaches, especially regarding additive manufacturing techniques for microwave components. Baranowski's publication record (13 papers from 2020-2025) reveals a clear research trajectory centered on innovative approaches to microwave filter design and waveguide component manufacturing. His most recent work (2024-2025) emphasizes 3D-printed microwave components, shape deformation techniques for resonator design, and methods to improve surface quality of additively manufactured waveguides. This research has direct applications in satellite communications, Earth observation systems, and 5G technology infrastructure. His technical expertise spans computational electromagnetics, optimization algorithms, and advanced manufacturing techniques for high-frequency components, with a particular emphasis on making these technologies more accessible through open platform tools and cost-effective manufacturing approaches. As an active researcher and educator, Baranowski contributes to both the theoretical advancement and practical implementation of microwave engineering solutions, with his work appearing in prestigious journals including IEEE Microwave and Wireless Technology Letters, IEEE Transactions on Microwave Theory and Techniques, and IEEE Access.

Steve GuglielmoView profile

Associate Professor

• Moral Psychology
• Social Cognition
• Mental State Judgments
• +3 more

Steve Guglielmo is an Associate Professor in the Department of Psychology at Macalester College, where he conducts research on moral judgment and social cognition. His work examines how mental state inferences shape moral evaluations, with particular focus on asymmetries between blame and praise. His educational background includes a BA from SUNY Geneseo, an MS from the University of Oregon, and a PhD in Social Psychology from Brown University (2012). After his PhD, he served as a Lecturer in the Cognitive Science Program at Yale University before joining Macalester in Fall 2013. Research Interests Guglielmo's research centers on moral psychology and social cognition , specifically investigating how people interpret behavior through mental state judgments (knowledge, desire, intention) to form moral evaluations. His work challenges traditional views by examining whether morality influences intentionality judgments rather than vice versa. Key areas include blame-praise asymmetries (where negative moral judgments show greater differentiation and extremity), timing of moral judgments , and applications of Moral Foundations Theory to political and media contexts. Analysis of his 15 most recent publications reveals consistent focus on moral judgment mechanisms, with increasing attention to political applications and cross-cultural dimensions. His work frequently employs experimental methods to dissect cognitive processes underlying moral evaluations. As Principal Investigator of the Morality and Social Cognition (MASC) Lab , he mentors undergraduate research assistants. Current lab members include Robert Reiss (focusing on moral/political psychology), Ruby Rogers (interested in clinical applications), and Kaiyuan Yang (exploring AI-cognition connections). The lab has trained numerous alumni who have pursued psychology careers.

Miles CahillView profile

Professor

• Macroeconomics
• Monetary Economics
• Financial Economics
• +6 more

Miles Cahill is a Professor in the Department of Economics & Accounting at the College of the Holy Cross, holding a Ph.D. from Purdue University. His academic profile spans multiple economics subfields with significant contributions to research and pedagogy. His research expertise encompasses Macroeconomics, Monetary Economics, Financial Economics, Labor Economics, Development Economics, and Teaching of Economics, with particular emphasis on computer-assisted instruction. Cahill's publication record from 1998-2006 reveals a dual focus: theoretical investigations in Development Economics (including Human Development Index critiques and Latin American/Cuban economic analysis) and Labor Economics (covering efficiency wages and job reference dynamics), alongside pioneering work in economic education through spreadsheet-based modeling tools. Analysis of his 14 publications shows evolving trends from pure theoretical research (1998-2000) toward practical pedagogical applications (2001-2006), with his most recent work addressing antitrust economics and executive compensation. His economic education contributions, particularly the Southern Economic Journal paper on Excel modeling, demonstrate innovative approaches to teaching complex concepts like chain-weighted GDP and New Keynesian models. No scientific awards are documented in available sources. Information regarding student advising and grant funding is absent from provided materials, though his extensive development of instructional resources suggests significant mentorship in pedagogical methods. The absence of laboratory or team descriptions indicates primary focus on individual scholarship and classroom teaching rather than collaborative research infrastructure.

Luca FerrariniView profile

Assistant Professor

• Machine Learning
• Databases
• Cloud Computing
• +6 more

Dr. Luca Ferrarini serves as an Assistant Professor within the Department of Information Technologies at the University of Limassol, Cyprus. With over ten years of industry experience as an IT project manager and data analytics consultant, he bridges academic research with practical applications in healthcare, medical imaging, and business domains through expertise in machine learning, databases, and cloud computing. His educational foundation includes: A Master of Science in Computer Engineering earned cum laude from the University of Modena and Reggio Emilia (Italy), where his thesis was developed at the Burnham Institute in San Diego through collaboration with the University of California San Diego. A Doctor of Philosophy in Computer Science awarded with honor from Leiden University (Netherlands), followed by post-doctoral research at the same institution focusing on computational analysis of MRI brain images for neurodegenerative conditions. Dr. Ferrarini's research program centers on solving industry and social challenges through digital technologies. His primary technical expertise spans machine learning, database systems, and cloud computing infrastructure . Current projects demonstrate applied focus in two key areas: developing natural language processing systems for automatic email classification in hospitality industry customer relationship management, and conducting bibliometric analyses of digital transformation literature using complex network theory to identify research trends and emerging subfields. Analysis of his publication history reveals a strong interdisciplinary trajectory, beginning with biomedical applications (particularly in neuroimaging and vascular biology) and evolving toward business-oriented digital solutions. His work consistently applies advanced computational methods to extract meaningful insights from complex datasets across healthcare and enterprise contexts, demonstrating adaptability in translating core technical skills to domain-specific challenges. Bringing substantial industry experience to academia, Dr. Ferrarini's current research involves collaboration with tier-1 hospitality chains on NLP applications while mapping the evolution of digital transformation research through network analysis. Though specific details of student supervision and grant funding aren't provided, his project descriptions indicate active industry partnerships and applied research orientation.

• Early Childhood Education
• Language Development
• Environmental Psychology
• +2 more

Jannette Prins is a Lecturer and Teacher-researcher in Nature and Child Development at Thomas More University of Applied Sciences in Rotterdam, conducting doctoral research on how physical environments shape young children's language acquisition through play. Her work positions nature as an active co-teacher in early language education. Prins' research centers on Embodied Cognition theory, demonstrating that sensorimotor experiences in natural settings (e.g., touching soil, balancing on logs) directly scaffold linguistic development. She investigates critical questions: Do natural play environments generate richer language output than urban spaces? and How can educators intentionally design 'play-learning environments' to maximize language opportunities? Her findings prove that embodied interactions with nature trigger spontaneous descriptive language, complex questioning, and narrative construction far beyond structured classroom activities. Through publications like her 2024 thesis Nature as Co-teacher and the Boom Publishers book Language in nature , Prins translates research into actionable frameworks for practitioners. The March 2025 'Language in Nature' symposium—presenting data on green spaces boosting language complexity by 37%—exemplifies her commitment to bridging academia and practice. While specific grant details aren't public, her active dissemination through professional events and applied publications indicates robust institutional support for real-world implementation. Prins leads the 'Head, Shoulders, Knees, and LANGUAGE' research initiative examining how bodily movement fuels verbal expression. Her team collaborates with Rotterdam preschools to transform playgrounds into language laboratories, proving that minimal natural interventions (e.g., adding water features or logs) yield significant developmental benefits. This practice-oriented approach ensures her work directly impacts early childhood pedagogy across Dutch educational settings.

Josée-Anne GouinView profile

Professor

• Teacher Education
• Educational Psychology
• Mentoring Practices
• +4 more

Dr. Josée-Anne Gouin is a Full Professor in the Department of Teaching and Learning Studies at the Faculty of Education (FSÉ) of Laval University in Quebec City, Canada. Her academic career is dedicated to advancing teacher education through rigorous research on practical training, mentoring practices, and the integration of theory and practice in teacher preparation programs. Dr. Gouin's educational background includes: Doctorate in Educational Psychology from Laval University (2017) Master's degree in Educational Psychology from Laval University (2008) Bachelor of Education in Secondary Education (History/French) from the University of Quebec at Trois-Rivières (2002) Her research focuses on practical training in teaching, with particular emphasis on mobilization of student-trainees' professional skills, mentoring practices for trainers, and the integration of theory and practice in teacher education. She also investigates pedagogical intervention and participatory classroom management, exploring learning communities and models of reflective practice. Her work bridges educational theory with practical classroom applications, contributing significantly to the field of teacher education. Dr. Gouin's recent publications demonstrate a consistent focus on teacher training, professional development, and the assessment of teaching competencies. Her work spans various educational contexts from secondary teacher education to vocational training for adults with intellectual disabilities, showing her ability to apply educational psychology principles across diverse settings. The articles reveal a methodological approach that combines qualitative and quantitative research to understand the complex dynamics of teacher education and motivation. Dr. Gouin has secured significant research funding including: SSHRC Knowledge Development Grant ($39,000) for research on motivation to teach among secondary school trainees (2021-2024) FRQSC Next Generation of Professors Grant ($44,000) for studying perceptions of teaching trainees regarding their trainers' practices (2021-2024) SSHRC Partnership Engagement Grant ($24,996) for supporting the motivation of young adults with intellectual disabilities (2024) As an educator, Dr. Gouin teaches multiple courses in the teacher education program at Laval University, covering classroom management, teaching practicums at various stages, and the concept of competence in education. Her teaching approach reflects her research interests, emphasizing the integration of theory and practice in teacher preparation. Dr. Gouin is actively involved with the Interuniversity Research Centre on Teacher Training and the Teaching Profession (CRIFPE-Laval), contributing to collaborative research efforts in the field of teacher education. Her work with partner organizations like Coup de Pouce Lac-Mégantic demonstrates her commitment to applying research findings to real-world educational challenges.

• Neurosciences
• Artificial intelligence
• Machine learning
• +4 more

Professor Janaina Mourao-Miranda is a Professorial Research Associate in the Department of Computer Science at University College London's Faculty of Engineering Sciences. She is affiliated with the Centre for Medical Image Computing (CMIC) and leads the Machine Learning and Neuroimaging Lab (MLNL), accessible at http://www.mlnl.cs.ucl.ac.uk. Her research program focuses on developing and applying machine-learning models to investigate complex relationships between neuroimaging data and multidimensional descriptions of mental health disorders. Specifically, she explores whether we can learn about underlying brain mechanisms of mental disorders from these relationships, better stratify patient groups based on these relationships, and combine information from clinical assessments with different neuroimaging modalities to build better diagnostic and prognostic models of mental health disorders. Professor Mourao-Miranda's work spans multiple disciplines including Neurosciences, Artificial Intelligence, Machine Learning, Computational Neuroscience, Biological Psychology, Clinical and Health Psychology, and Pattern Recognition. Her recent publications demonstrate a strong emphasis on multivariate analysis of brain imaging data, advanced techniques for handling incomplete datasets, and developing interpretable machine learning models specifically designed for clinical applications in mental healthcare. Her key scientific contributions include: Developing novel machine learning approaches specifically tailored for neuroimaging analysis Investigating fundamental brain-behavior relationships in mental health disorders Creating innovative methods for patient stratification based on multimodal data integration Advancing statistical techniques for handling incomplete clinical datasets Pioneering interpretable AI models that bridge the gap between computational methods and clinical practice Professor Mourao-Miranda teaches a specialized module on Applied Artificial Intelligence for the MSc programs in AI for Biomedicine and Healthcare and AI for Sustainable Development at UCL, where she shares her expertise in applying artificial intelligence to solve real-world healthcare challenges and contribute to sustainable development goals.

• Biosemiotics
• Theoretical Semiotics
• Theoretical Biology
• +3 more

Kalevi Kull (b. 1952) is Professor of Biosemiotics at the University of Tartu's Institute of Philosophy and Semiotics, where he has researched since 2007. He earned his PhD in 1987 from the same institution with a dissertation on dynamic modeling of tree growth. Kull's career includes leadership roles at the Estonian Academy of Sciences and presidency of the International Society for Biosemiotic Studies. His research focuses on: Biosemiotics and biological meaning-making Theoretical frameworks for sign systems in nature Ecophysiology and environmental semiotics Philosophical foundations of biology Recent publications explore semiosphere theory, Peircean biosemiotics, urban ecological semiotics, and holistic approaches to biological systems. His scholarly output consistently bridges theoretical biology with semiotic analysis. Major honors include: National Science Prize of Estonia (2002) Order of the White Star (2001) Akadeemia Gold Award (2019) Honorary memberships in Hungarian, American, and Estonian scholarly societies Kull leads significant research projects including 'Semiotic Modeling of Self-Description Mechanisms' and edits Sign Systems Studies. He maintains active international collaborations through editorial board memberships and society leadership.

Yassine OuhammouView profile

Associate Professor

• Real-Time Systems
• Embedded Systems
• Model-Based Design
• +6 more

Yassine Ouhammou is an Associate Professor in computer science at École Nationale Supérieure de Mécanique et d'Aérotechnique (ENSMA), where he is a member of the "Real-Time and Embedded Systems" research team at LIAS laboratory. His work focuses on critical real-time embedded systems with applications in avionics, drones, and control command systems. His research interests include: Software architectures for critical real-time embedded systems Design and analysis of critical real-time systems regarding their temporal performances Model-based design using domain specific languages (MoSaRT, AADL, Capella, Time4Sys) Real-time scheduling and dimensioning Knowledge repositories for expertise capitalization, reuse and reproducibility Collaborative engineering for complex systems design Model-driven engineering and formal methods Dr. Ouhammou's publication record shows consistent contributions to real-time systems, embedded architectures, and model-based approaches. His recent work demonstrates increasing emphasis on drone technology and avionic applications, with numerous collaborations on autopilot design, scheduling optimization, and verification methodologies. His research bridges theoretical computer science with practical aerospace engineering challenges, addressing safety-critical aspects of embedded systems. Professional service includes: PC Member of MEDES 2020, INISTA 2020, WIMS, SADASC 2020 PC Chair of DETECT 2019 General Co-Chair of RTNS 2018 PC Member of multiple international conferences since 2017 Dr. Ouhammou collaborates extensively with researchers in the field of real-time systems, particularly with Emmanuel Grolleau and other members of the LIAS laboratory. His work often involves interdisciplinary teams addressing complex challenges in aerospace and embedded systems engineering, with practical applications in drone technology and avionic systems.

Gabriele GühringView profile

Professor

• Artificial Intelligence
• Machine Learning
• Anomaly Detection
• +3 more

Gabriele Gühring serves as Professor at Esslingen University of Applied Sciences with dual appointments in the Faculty of Basic Sciences (since 2008) and Faculty of Computer Science and Information Technology (since 2021). She currently holds the executive position of Vice President for Research and Transfer (since September 2022), concurrently directing the Department of Research and Transfer while serving on the Science Commission and Honours Committee. Her academic foundation includes: Mathematics and Physics studies at University of Tübingen (1991-1996) Doctoral research on nonautonomous differential equations (1997-1999) Part-time Master's in Mathematical Finance at University of Oxford (2002-2004) Prof. Gühring's research centers on practical AI applications , specializing in anomaly detection systems for industrial infrastructure and multimodal learning for technical documentation. Her work bridges theoretical mathematics with real-world implementations in renewable energy, urban mobility, and medical diagnostics, demonstrating consistent evolution from pure mathematics to cutting-edge machine learning. Analysis of her 14 publications (1999-2023) reveals a strategic pivot from theoretical differential equations to industrial AI solutions. Recent work (2020-2023) focuses on anomaly detection in energy systems (power plants, vehicle fleets), multimodal neural networks for product analysis, and mobility data anonymization , with methodologies spanning spiking neural networks, graph-based approaches, and Bayesian deep learning. While no scientific awards are documented, her leadership in the BMBF-funded Anomob project demonstrates active grant acquisition in data privacy. Administrative responsibilities likely encompass significant mentorship, though no formal advisees are listed in the provided materials. Her research operates through Esslingen's Department of Research and Transfer, fostering cross-disciplinary collaborations between computer science, engineering faculties, and industrial partners in energy, transportation, and healthcare sectors.