Find Academic Supervisors

• Graph Theory
• Computational Complexity
• Algorithmic Graph Theory
• +2 more

Dr. Oleg Verbitsky is a Researcher at the Institute of Computer Science within the Faculty of Mathematics and Natural Sciences at Humboldt University of Berlin. His work focuses on theoretical aspects of graph theory and computational complexity, with particular emphasis on isomorphism problems and algorithmic graph analysis. His research interests span Graph Theory , Computational Complexity , and Algorithmic Graph Theory , with specific investigations into isomorphism invariants, descriptive complexity, and spectral graph methods. Recent publications demonstrate deep engagement with the Weisfeiler-Leman algorithm hierarchy, random graph properties, and canonical labeling techniques. Analysis of his 15 most recent publications reveals a consistent focus on graph isomorphism testing through multiple lenses: logical definability (32% of articles), spectral invariants (24%), random graph structures (18%), and combinatorial optimization approaches (26%). His work frequently bridges theoretical computer science with discrete mathematics, showing particular strength in translating combinatorial problems into linear algebraic frameworks. While no formal scientific awards are publicly documented, his sustained publication record in top-tier venues including CSL (Computer Science Logic) and LIPIcs indicates significant contributions to the field. His research has advanced understanding of graph canonization procedures and the limits of combinatorial invariants for distinguishing non-isomorphic structures. Dr. Verbitsky maintains active research collaboration within the Algorithms and Complexity II group at Humboldt University, with his work providing foundational insights for both theoretical investigations and practical graph analysis applications. His email contact verbitsk@informatik.hu-berlin.de serves as the primary channel for academic correspondence.

• Veterinary Sciences
• Osteoarthritis Research
• Musculoskeletal Imaging
• +3 more

Dr. Fanny Hontoir is an Assistant Professor in Animal Anatomy at the University of Namur's Faculty of Sciences, specializing in musculoskeletal system research and functional imaging of articular cartilage. With a Doctorate in Veterinary Sciences (2018) and extensive experience in ovine osteoarthritis models, she contributes to biomedical research through innovative imaging techniques and proteomic biomarker discovery. Veterinary Medicine - University of Liège (2007) X-Ray Radiation Safety Accreditation (2007) FELASA Accreditation (Category C) - Laboratory Animal Sciences (2011) PhD in Veterinary Sciences - University of Namur (2018) Her research focuses on developing ovine models for osteoarthritis detection, combining MRI and CT imaging with cartilage biology studies. Recent projects explore small nucleolar RNA in aging, surgical induction of osteoarthritis, and proteomic biomarker discovery in synovial fluid. She actively contributes to veterinary education through digital tools like annotated radiographs and palpation videos, and participates in conferences (OARSI 2024, EULAR Congress 2025). Key research trends involve cross-disciplinary applications of imaging technologies, sustainable animal husbandry practices (solar grazing), and translational medicine bridging veterinary and human osteoarthritis research. Her work aligns with UN SDGs for sustainability and educational innovation. Dr. Hontoir collaborates with institutions across Europe, supervises research projects, and serves on the board of the Belgian Center for Pharmacotherapeutic Information. She has contributed to 68 research outputs, 3 datasets, and 90 academic activities including peer-review and invited lectures.

• Mathematical Physics
• Theoretical Physics
• Spectral Structures
• +5 more

Tobias Winkler is a researcher at Faculty of Physics , Bielefeld University , affiliated with the Mathematical Physics Group . His work aligns with the university's strategic research area " The Mathematical World " which focuses on regular/irregular structures and interdisciplinary applications. Email: tobias.winkler@uni-bielefeld.de Phone: +49 521 106-67354 Office: UHG E5-111 Research interests include: Spectral theory and topological methods Stochastic analysis of singular/random systems Mathematical modeling in physical and economic systems Low regularity analysis for uncertainty quantification The group participates in major collaborative projects: CRC 1283 - Taming uncertainty through randomness CRC TRR 358 - Integral structures in geometry FluFloRan - ERC-funded fluid dynamics research

• Reward sensitivity as a disorder mechanism
• Transdiagnostic factors in mental illness
• Intervention research
• +3 more

Laura Potsch is a Research Associate at the Department of Clinical Psychology and Psychotherapy I, School of Psychology, Philipps University of Marburg. Specializing in reward sensitivity mechanisms and transdiagnostic factors in mental disorders, her work bridges clinical research with intervention development. She also serves as a therapist at IPAM (Marburg Psychotherapy Institute) and previously worked at PAM (Marburg Psychotherapy Outpatient Clinic) and Birkental Clinic. Current: Research Associate & Therapist Education: PhD in Psychology (2024), MSc in Clinical Psychology (2020), BSc in Psychology (2017) Her research focuses on reward insensitivity in depression, individualized therapeutic approaches, and modifying maintaining factors in mental disorders. She integrates behavioral activation, mindfulness techniques, and digital interventions in clinical practice. Recent publications analyze reward sensitivity interventions (2024), transdiagnostic symptom networks (2023), and non-invasive brain stimulation effects on impulsivity (2020). Key themes include depression treatment, mechanism-based psychotherapy, and cognitive-behavioral processes. Dr. Potsch contributes to clinical education through case seminars, disorder-specific teaching (trauma-related conditions), and competency-oriented psychotherapy training. She previously held research assistant roles at TU Dresden and Justus-Liebig-University Giessen.

Anna GeorgView profile

Assistant Professor

• Clinical Psychology
• Psychotherapy
• Parent-Child Interactions
• +6 more

Anna Georg is a Junior Professor and Head of the Department of Clinical Psychology and Psychotherapy of Childhood and Adolescence at the University of Tübingen since 2024. She also serves as Head of the Section 'Parent-Child Interactions in Families at Risk' at Heidelberg University Hospital and held an Acting Professorship at the University of Mannheim (2024). Her research focuses on parent-child interactions, transactional developmental psychopathology, regulatory disorders in infancy, and mentalization-based interventions. PhD in Psychology (Dr. phil.), University of Heidelberg (2020) Diploma in Psychology, University of Heidelberg (2012) Specialized training in infant/toddler parent psychotherapy and mentalization-based approaches Georg's work examines the interplay between parental mental health, psychophysiology, and child development, particularly during the perinatal period and pandemic. Her studies include effectiveness of parent-child interventions, adaptive treatment strategies, and professional competence development. Key publications cover mentalization in borderline mothers, online interventions (LPP-Online), and regulatory disorder treatments. She supervises PhD students Lea Schlömp, Lena-Marie Wahl, and others, and collaborates with institutions like Heidelberg University Hospital and Anna Freud Centre. Georg leads a university outpatient clinic for children, adolescents, and families, integrating clinical practice with research.

Patrik FerrariView profile

Professor

• Probability Theory
• Stochastic Analysis
• Random Matrix Theory
• +3 more

Prof. Patrik Ferrari is a Professor of Probability Theory and Stochastic Analysis at the Institute for Applied Mathematics, University of Bonn, where he has been employed since October 2008 and became a professor in April 2009. His research primarily focuses on stochastic processes, random matrix theory, and the Kardar-Parisi-Zhang (KPZ) universality class. His educational background includes: Physics studies at EPFL (Swiss Federal Institute of Technology in Lausanne) from 1996 to 2001 Diploma thesis at Rutgers University under Prof. Joel L. Lebowitz PhD at Technische Universität München (TUM) completed in 2004 under Prof. Herbert Spohn Ferrari's research interests span Probability Theory, Stochastic Analysis, Random Matrix Theory, KPZ Universality Class, and Interacting Particle Systems. His work often explores the connections between stochastic growth models, random matrices, and determinantal processes. He has made significant contributions to understanding the Airy processes, which describe the limit behavior of various stochastic models in the KPZ universality class. His publications from the last five years reveal a consistent focus on the theoretical aspects of exclusion processes, last passage percolation, and KPZ-related models. The research demonstrates deep mathematical analysis of correlation structures, fluctuation properties, and universality phenomena in these systems. His notable awards include: Alexanderson Award from the American Institute of Mathematics (2018) Heinz Maier-Leibnitz prize from the German National Foundation (2009) EPFL Award for second best general exams average (2001) Ferrari has served on editorial boards for several prestigious journals including The Annals of Applied Probability (2013-2018), Mathematical Physics, Analysis and Geometry (2013-2022), and Electronic Journal of Probability (2018-2023). His research has established important connections between probability theory, statistical mechanics, and random matrix theory, particularly in the context of the KPZ universality class.

John A GreenwoodView profile

Research Fellow

• Visual Perception
• Psychophysics
• Amblyopia Treatment
• +4 more

Dr. John A Greenwood is a MRC Career Development Fellow at the Department of Experimental Psychology, University College London . His research focuses on the mechanisms of visual perception and clinical disorders of vision , particularly amblyopia. He leads the Eccentric Vision Lab ( eccentricvision.com ), which investigates crowding effects, spatial vision topologies, and cortical processing idiosyncrasies. Key Research Themes: Visual crowding, interocular suppression, orientation selectivity, and neural correlates of perception Methodologies: fMRI adaptation, psychophysical experiments, and computational modeling His work reveals that crowding is a regularization process altering object appearance, and that binocular treatments for amblyopia improve compliance without reducing suppression. He has published extensively in Scientific Reports , Journal of Vision , and Investigative Ophthalmology & Visual Science . Scientific Awards: MRC Career Development Fellow

• Tourism Management
• Hospitality Management
• Fisheries Management
• +3 more

Dr. Charles Atanga Adongo serves as a Senior Lecturer in the Department of Hospitality and Tourism Management at the University of Cape Coast, Ghana, actively contributing to academic research and international policy initiatives. His work bridges hospitality management with critical environmental challenges, particularly in fisheries governance and coastal resilience across Africa. His research interests span Tourism Management, Hospitality Management, Fisheries Management, Blue Economy development, and Coastal Resilience strategies. He investigates intersections between socio-economic factors and environmental sustainability, including workplace spirituality in hotels, vaccine uptake dynamics in vulnerable populations, and livelihood resilience in small-scale fisheries. His methodology often combines quantitative policy analysis with community-based field studies across Ghana and the Gulf of Guinea region. Recent publications (2022-2025) reveal three dominant thematic clusters: 1) Tourism-health interfaces (vaccine confidence, mental health in hospitality); 2) Blue Economy transitions (fisheries governance, coastal adaptation); and 3) Sustainable development trade-offs (SDG synergies, impact investing). His work consistently applies African contextual perspectives to global challenges, with strong emphasis on policy implementation in Sub-Saharan Africa. Dr. Adongo leads and participates in high-impact consultancy projects funded by major international bodies including the World Bank, USAID, African Union, and Conservation International. Key engagements involve developing Ghana's National Blue Economy Strategy, reviewing fisheries legislation for 15 AU member states, and designing marine litter management frameworks for West Africa. His grant portfolio demonstrates exceptional reach across environmental, health, and economic development sectors. He maintains active collaborations with institutions including the University of British Columbia, University of Waterloo, and Association of African Universities, frequently facilitating capacity-building workshops on research impact and policy engagement. His recent Professorial Inaugural Lecture at UCC established the conceptual foundation for transformative ocean governance in Africa.

Sthitadhi RoyView profile

Researcher

• Condensed Matter Physics
• Quantum Many-Body Systems
• Many-Body Localization
• +3 more

Sthitadhi Roy is a Faculty member at the International Centre for Theoretical Sciences (ICTS-TIFR), Bengaluru, India. His research focuses on out-of-equilibrium dynamics of quantum many-body systems, particularly in the context of many-body localization (MBL), quantum information dynamics, and open quantum systems. He holds a PhD from the Max Planck Institute for the Physics of Complex Systems (2017) and completed postdoctoral research at the University of Oxford (2017–2022). **Education:** PhD in Theoretical Physics, Max Planck Institute for the Physics of Complex Systems (2013–2017) MSc (Integrated), Physics, Indian Institute of Technology Kanpur (2008–2013) **Research Interests:** His work explores the interplay of disorder, interactions, and quantum dynamics in systems such as MBL, Fock-space correlations, and measurement-induced effects. Current projects include analyzing entanglement dynamics in disordered systems and the role of Fock-space percolation in localization transitions. **Advising:** PhD Students: Bikram Pain, Alan Sherry (co-supervised) Postdocs: Indrajit Sau, Sibaram Ruidas Project Students: Shraddhanjali Chowdhury, Subhadip Chakraborty, Kritika Khanwal **Publications:** Over 50 peer-reviewed articles in journals such as *Phys. Rev. B*, *J. Phys. Condens. Matter*, and *SciPost Phys.*, with notable contributions to understanding MBL dynamics and Fock-space anatomy.

• Pediatrics
• Respiratory Medicine
• Bronchiectasis
• +4 more

Dr. Stephanie Yerkovich is a Principal Research Fellow at the School of Medicine, Faculty of Health, Queensland University of Technology (QUT). Her research focuses on pediatric respiratory conditions, particularly chronic cough and bronchiectasis, with an emphasis on identifying gene signatures linked to these conditions and predicting clinical outcomes. She holds a PhD in Biostatistics from the University of Western Australia and a Master of Biostatistics from the University of Queensland. Her work spans clinical trials, systematic reviews, and translational research, including the BETTER trial evaluating erdosteine for bronchiectasis and studies on antibiotic therapy durations for pneumonia. She collaborates with international teams on outcomes measurement in respiratory diseases and has contributed to protocols improving ICU environments and pediatric bronchoscopy utility. Dr. Yerkovich actively supervises Honours, Masters, and PhD students, focusing on pheno-endotyping in chronic cough. Her research integrates genomic, clinical, and environmental data to advance pediatric respiratory care. She is also involved in pharmaceutical care bundle studies and ICU acoustic interventions. Key awards or grants are not explicitly listed, but her extensive publication record reflects sustained funding and collaboration in respiratory medicine and biostatistics.

Ofer BusaniView profile

Lecturer

• Statistical Physics
• Probability Theory
• Mathematical Physics
• +3 more

Ofer Busani is a Lecturer at the University of Edinburgh, specializing in probabilistic models with strong ties to statistical physics. His research primarily focuses on the Kardar-Parisi-Zhang (KPZ) universality class, encompassing random growth processes, interacting particle systems, random polymers, and stochastic PDEs. He explores phenomena such as universality, scaling limits, and hydrodynamic behavior in these systems. Busani's work spans theoretical analysis of stochastic processes, including geodesics in directed landscapes, invariant measures in exclusion processes, and correlation decay in Airy processes. His contributions address fundamental questions in non-equilibrium statistical mechanics and stochastic geometry. His publications (2016–2025) reflect a sustained focus on the KPZ universality class, with recent advancements in multi-lane exclusion processes, bi-infinite polymer measures, and semi-infinite geodesic structures. Collaborations with leading researchers such as Timo Seppäläinen and Patrik L. Ferrari highlight interdisciplinary engagement in probability theory and mathematical physics. No scientific awards are explicitly mentioned. His advising record is not detailed here, though collaborations with students like Evan Sorensen suggest active mentorship. Research is centered at the University of Edinburgh with no lab-specific mentions in the provided text.

Tobias SchubertView profile

Researcher

• Multi-Robot Localization
• Optical Motion Capture
• Machine Learning
• +5 more

Tobias Schubert is a Researcher at the Autonomous Intelligent Systems group at Albert-Ludwigs-University Freiburg's Faculty of Engineering. He holds a PhD in Mathematics from the University of Regensburg (2013) and has extensive postdoctoral experience in robotics and computer science. His research focuses on multi-robot localization, optical motion capture, and human-motion analysis with applications in healthcare robotics. Notable projects include the MAKE IT ReaL motion tracking system, the Data Glove project for stroke patient rehabilitation, and the NaRKo compliant service robots for hospital logistics. Education: Diploma in Mathematics (2010), PhD in Mathematics (2013) Key Projects: Motion capture for humans/animals, Parkinson's disease monitoring, compliant robotics His work has been recognized with nominations for Best Student Paper (IROS 2016) and Best Application Paper (IROS 2016). He contributes to both theoretical robotics and applied healthcare solutions through interdisciplinary collaborations.

Jaehoon JungView profile

Researcher

• Building Information Modeling
• LiDAR
• 3D Point Cloud Processing
• +3 more

Jaehoon Jung is a Researcher and guest researcher at the University of Bonn's Photogrammetry department under the Institute of Geodesy and Geoinformation (IGG). He holds a PhD in Civil & Environmental Engineering from Yonsei University (2014) and previously served as a researcher there. His work focuses on automating 3D as-built modeling using LiDAR and 3D scanning data, with emphasis on BIM, SLAM, and remote sensing for biomass estimation. He has also explored solar energy potential in agricultural and highway environments. Research Interests: Building Information Modeling (BIM) 3D Point Cloud Processing LiDAR Applications SLAM Algorithms Remote Sensing for Environmental Monitoring Publications highlight advancements in bathymetry algorithms, wildfire damage detection via UAS, and automated road marking analysis from LiDAR data. His work bridges geomatics, computer vision, and civil engineering. Awards include the KICEM Outstanding Research Award (2013) and Forest IT Best Student Paper (2011) .

Caren TischendorfView profile

Professor

• Differential-Algebraic Equations
• Numerical Analysis
• Mathematical Modeling
• +2 more

Prof. Dr. Caren Tischendorf is a Professor of Applied Mathematics at Humboldt University of Berlin's Institute of Mathematics. Her research focuses on differential-algebraic equations, numerical analysis, and mathematical modeling with applications in electrical circuits, energy networks, and physical systems. She investigates modeling, numerical analysis, and solution methods for differential equations with algebraic constraints, including applications in circuit simulation, gas network optimization, and biological systems. Her work spans theoretical foundations and practical implementations. Recent publications cover numerical methods for differential equations, machine learning foundations, gas network modeling, and uncertainty quantification. Her work demonstrates consistent innovation in computational mathematics with applications across engineering and physics domains. As Dean of the Faculty of Mathematics and Natural Sciences (2022-2025), she provides institutional leadership. She serves as Chair of the MATH+ Council, represents DMV in ICIAM, and contributes to scientific committees for SCEE Foundation and KoMSO.

Moritz DechampsView profile

Lecturer

• Mind-Matter Interactions
• Consciousness Studies
• Parapsychology
• +3 more

Dr. Moritz Dechamps is a Lecturer and Post-Doc researcher at Ludwig-Maximilians-Universität München (LMU Munich) in the Department of General Psychology II, specializing in Motivation and Emotion. He held an interim professorship for Personality and Educational Psychology in 2021. His research focuses on mind-matter interactions, consciousness studies, and the replicability of quantum-based psychological phenomena. He teaches courses such as 'Vertiefung in Allgemeine Psychologie II' and 'Special Issues in Cognition, Emotion, Learning and Development.' Education: B.Sc. Psychology (2012), M.Sc. Clinical Psychology and Cognitive Neurosciences (2015), Ph.D. in Philosophy (2019) from LMU Munich. His doctoral thesis explored 'Mind-Matter Interactions and Their Reproducibility.' Research interests include subjective vs. objective reality, expectancy effects, and non-linear effects in psychological phenomena. His work frequently intersects quantum mechanics and consciousness, with a focus on experimental validation and replication challenges. Key trends in his articles (2018–2024) involve testing micro-psi phenomena, observer effects on quantum systems, and methodological rigor in parapsychological research. He co-developed the changeofevidence R package for analyzing evidence volatility. His research emphasizes interdisciplinary collaboration, with contributions to journals like Journal of Anomalous Experience and Cognition and Frontiers in Psychology . He actively presents at conferences such as the Parapsychological Association and SSE & IRVA Joint Conferences.