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Katja Dörschner BoyaciView profile

Professor

• Perception
• Computational Neuroscience
• Material Perception
• +5 more

Prof. Dr. Katja Dörschner Boyaci is a Professor at Justus-Liebig-Universität Gießen , Faculty of Psychology and Sports Science, leading the Perception & Active Exploration Group . Her research focuses on understanding how the human brain constructs rich perceptual experiences from sensory input, particularly in the perception of material properties like softness, glossiness, and roughness. Research Interests: Computational and neural mechanisms of material perception Integration of visual and haptic information Expectation-driven modulation of perception Neuroimaging (fMRI, EEG) and psychophysical approaches Virtual reality and computational modeling Her work combines psychophysics , neuroimaging , and computational modeling to explore how humans judge material properties from static and dynamic images, and how prior experiences shape these perceptions. Scientific Contributions: Published extensively on material perception, with recent papers in Nature Human Behaviour , Journal of Neuroscience , and Vision Research . Leads the collaborative B8 project on integrating experience and sensory information in material perception. Collaborations & Funding: Co-leads the B8 project with Prof. Hüseyin Boyaci, funded to investigate neural mechanisms of expectation-based perception. Employs interdisciplinary methods including EEG, fMRI, VR, and behavioral experiments. Laboratory & Team: The Perception & Active Exploration Group at Giessen University studies how humans perceive intrinsic object qualities through active exploration and sensory integration, with implications for product design, computer graphics, and robotics.

Onur GüntürkünView profile

Professor

• Cognitive Neuroscience
• Comparative Cognition
• Avian Cognition
• +5 more

Onur Güntürkün serves as Professor for Psychology at Ruhr University Bochum and holds a Permanent Fellowship at the Wissenschaftskolleg zu Berlin (Institute for Advanced Study). His academic career spans decades of pioneering research in comparative cognition, with a focus on evolutionary parallels between avian and mammalian cognitive systems. As a Permanent Fellow, he leads the "One Cognition" project investigating convergent evolution of cognitive abilities across species with vastly different neuroanatomies. Academic Background: Diploma in Psychology, Ruhr University Bochum Dr. phil. in Psychology, Ruhr University Bochum Güntürkün's research centers on the paradox of equivalent cognitive abilities emerging from radically different neural architectures—specifically how birds with tiny brains (3-25g) and no neocortex achieve cognitive feats matching chimpanzees. His work demonstrates that corvids and parrots exhibit identical cognitive capabilities to primates in working memory, problem-solving, and social cognition. He investigates whether algorithmic constraints or neural implementation bottlenecks drive this convergence, using working memory as a model system due to its well-defined parameters across species. His experimental approach integrates behavioral studies with neural circuit analysis to uncover universal principles of cognitive evolution. Analysis of his publication history reveals a consistent trajectory from foundational neuroanatomical studies toward theoretical frameworks for cognitive convergence. The most recent works (2021-2024) emphasize circuit-level homologies between avian pallium and mammalian neocortex, while earlier publications established birds as valid models for complex cognition. Key thematic clusters include neural lateralization mechanisms, sensory modality effects on cognition, and evolutionary constraints on information processing. His 2024 Trends in Cognitive Sciences paper synthesizes two decades of evidence showing birds solve mental problems using cognitive mechanisms nearly identical to mammals despite 300 million years of divergent evolution. Professional Recognition: Honorary Doctorate (Dr. h.c.) Güntürkün actively contributes to scientific discourse through invited colloquia, including an upcoming presentation at Wiko on November 25, 2025. While specific grant details aren't documented in the source material, his sustained research output and leadership in major projects indicate significant funding acquisition. His work bridges neuroscience, evolutionary biology, and cognitive psychology, fostering interdisciplinary collaborations evident in co-authored publications with researchers from diverse fields. As Principal Investigator of the "One Cognition" project, Güntürkün directs a research initiative examining why evolution repeatedly produces similar cognitive solutions across phylogenetically distant species. This work involves comparative analysis of neural circuits across avian and mammalian models, with particular focus on working memory constraints and neural implementation strategies. His laboratory at Ruhr University Bochum collaborates with international teams studying bird cognition, contributing to the growing paradigm shift recognizing avian intelligence as a powerful model for understanding universal cognitive principles.

Sarah MortonView profile

Lecturer

• Heritage Studies
• Museum Studies
• Repatriation and Restitution
• +4 more

Sarah Morton is a Lecturer in Heritage and Director of Postgraduate Programmes at Bath Spa University's School of Writing, Publishing and the Humanities. Joining in 2017, she leverages extensive museum professional experience in conservation, collections management, and exhibition curation to develop university-heritage sector collaborations, particularly through heritage placement modules. Academic Qualifications: DPhil, University of Oxford (2018) MSc, Conservation for Archaeology and Museums, University College London (2007) MA, Principles of Conservation, University College London (2005) BA (Hons), Archaeology, University of Nottingham (2002) Professional Qualifications: Accredited Conservator Restorer (ACR) Fellow of the Higher Education Academy (FHEA) Her research examines how heritage is socially and materially constructed, focusing on repatriation legacies of ancestral human remains, the social role of human remains in museums, and geographies of human remains storage. This interdisciplinary work bridges museum studies, anthropology, and geography with strong emphasis on ethical frameworks and stakeholder engagement. Morton's publication trends reveal consistent exploration of repatriation ethics, material agency of human remains, and museum 'deathscapes' across anthropology, geography, and medical humanities. Her work frequently employs spatial analysis and qualitative methods while maintaining strong sector partnerships, particularly with The Royal College of Surgeons of England. Scientific Awards: Museums Universities Partnership Initiative Match Grant for 'Student Placements in Museums: Exploring Models of Good Practice' (2017-18) Wellcome Trust Medical Humanities Small Grant for 'Corpses Cadavers and Catalogues: The Mobilities of Dead Bodies and Body Parts, Past and Present' (2015-16) Royal Geographical Society Henrietta Hutton Research Grant for 'Legacies of the Repatriation of Human Remains Fieldwork' (2015-16) Keble Association Gordon Smith Research Award for 'Legacies of the Repatriation of Human Remains Fieldwork' (2015-16) Arts and Humanities Research Council Collaborative Doctoral Award for 'The Legacies of the Repatriation of Human Remains' with The Royal College of Surgeons of England (2013-17) Morton actively develops heritage placement modules and sector partnerships for student training, supported by significant grants including the Wellcome Trust Medical Humanities grant and AHRC Collaborative Doctoral Award. Her advisory work focuses on professional practice standards within UK heritage organizations. Grant Categories: Placement Development: Museums Universities Partnership Initiative Medical Humanities: Wellcome Trust Fieldwork Research: RGS Henrietta Hutton, Keble Gordon Smith Doctoral Training: AHRC Collaborative Award Morton collaborates extensively with heritage sector partners including the Institute of Conservation (ICON), Museum Ethnographers Group, and Association of Critical Heritage Studies. She contributes to policy through ICON's Policy Review Group and maintains active partnerships with The Royal College of Surgeons of England, shaping best practices in human remains management and repatriation ethics.

Zongchen ChenView profile

Assistant Professor

• Randomized algorithms
• Discrete probability
• Machine learning
• +5 more

Zongchen Chen is an Assistant Professor in the School of Computer Science at the Georgia Institute of Technology . He holds a PhD in Algorithms, Combinatorics and Optimization from Georgia Tech (2021) and a BS in Mathematics & Applied Mathematics from Shanghai Jiao Tong University (2016). Previously, he was an Assistant Professor at University at Buffalo and a postdoctoral instructor at MIT. His research spans randomized algorithms , discrete probability , and machine learning , with current focus on: Markov chain Monte Carlo (MCMC) methods Approximate counting and sampling algorithms Learning/testing of high-dimensional distributions Phase transitions in combinatorial structures His publication profile shows strong emphasis on: Mixing time analysis of Markov chains (13/15 papers) Combinatorial problems including k-SAT, graph colorings, and spin systems Theoretical computer science venues (STOC/FOCS/SODA/RANDOM) Awards & Honors 2021 Outstanding Doctoral Dissertation Award, College of Computing, Georgia Tech Teaching Spring 2025: CS 3510 Design and Analysis of Algorithms Fall 2024: CS 8803 Counting and Sampling Spring 2024: CSE 632 Analysis of Algorithms II (University at Buffalo) Office: KACB 2134 | Email: chenzongchen@gatech.edu

• Cooperative Robotic Systems
• Multi-Robot Systems
• Human-Robot Collaboration
• +7 more

Luis Merino is an Associate Professor at the School of Engineering, Universidad Pablo de Olavide (UPO), Seville, Spain. He founded and leads the Service Robotics Laboratory and contributed to establishing the Systems Engineering and Automation division at UPO. He served as Vice-Dean for five years and currently coordinates the Computer Science degree program. Education: Ph.D. in Robotics from the University of Seville (2007), supervised by Anibal Ollero. Research: Focuses on cooperative robotic systems, human-robot collaboration, localization/navigation techniques, and machine learning in social robotics. His work includes leading 2 H2020, 4 FP7, 3 National R&D, and 3 Andalusian regional projects. Notable projects: MBZIRC 2020 (PI), collaboration with Honda Research Institute Japan, and EU-funded initiatives. He advocates for open-source code/datasets and industry technology transfer. Scientific Awards: ABB Award to the Best Doctoral Dissertation on Robotics (2007) Best Paper Award at ROBOT2019 Professional Roles: Associate Editor for Image and Vision Computing and IEEE Robotics and Automation Letters . Serves on ICRA/IROS conference program committees. Grant reviewer for FONDECYT (Chile), SBIR (USA), and ERC.

Timothy Moon-Yew ChanView profile

Professor

• Algorithms
• Data Structures
• Computational Geometry
• +2 more

Timothy Moon-Yew Chan is a Founder Professor in Computer Science at the Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign. Previously, he taught at the Cheriton School of Computer Science, University of Waterloo from 1999 to 2016. His distinguished career in theoretical computer science has earned him the prestigious Founder Professorship at UIUC. Chan's research focuses on algorithms and computational geometry, with particular expertise in geometric data structures, fine-grained complexity, and geometric optimization problems. His work bridges theoretical foundations with practical applications, exploring the limits of efficient computation for geometric problems. He has made significant contributions to problems involving convex polygons, geometric set cover, shortest paths in geometric graphs, and computational geometry in moderate dimensions. His extensive publication record demonstrates a consistent research trajectory in computational geometry, with recent work advancing techniques like the shrink-and-bifurcate method, improving algorithms for geometric problems, and exploring connections between fine-grained complexity and geometric computation. His publications appear regularly in top venues including SoCG, SODA, STOC, and FOCS, as well as leading journals like Discrete and Computational Geometry and SIAM Journal on Computing. Chan serves on editorial boards for Algorithmica, Discrete and Computational Geometry, and Computational Geometry: Theory and Applications. He has been active in program committees for major conferences including STOC'25 (as chair for ESA'24), SODA'24, STOC'23, SoCG'22, and many others across the theoretical computer science landscape. He teaches advanced courses in algorithms, computational geometry, and data structures at UIUC, including CS 374 (Algorithms and Models of Computation), CS 473 (Algorithms), and specialized 498/598 courses on computational geometry, advanced data structures, and fine-grained algorithms. His teaching has been recognized with multiple honors, including being named on the CITL List of Teachers Ranked as Excellent By Their Students.

• Financial Mathematics
• Insurance Mathematics
• Model Uncertainty
• +4 more

Prof. Dr. Katharina Oberpriller is a faculty member at the Department of Mathematics, University of Munich, working in the Financial and Insurance Mathematics research group. Her research focuses on model uncertainty, insurance risk markets, and credit risk modeling. She collaborates extensively on publications related to stochastic processes, affine models, and financial risk management.

• Psychotherapy Research
• Clinical Psychology
• Mental Health Treatment
• +7 more

Fredrik Falkenström is a Professor at Linnaeus University, where he is affiliated with the Department of Psychology within the Faculty of Health and Life Sciences. He leads the Division of Clinical Psychology and is the principal investigator for the "Identifying the Active Ingredients of psychotherapy: A Methods development project (AIM)", which focuses on developing innovative methods to identify mechanisms of action in psychotherapy. Dr. Falkenström's research spans multiple critical areas in clinical psychology and psychotherapy science. His work primarily investigates the mechanisms of change in psychotherapy, with particular emphasis on methodological innovations that bridge the gap between research and clinical practice. His research interests include: Advanced statistical methods for psychotherapy process research Therapeutic alliance and attachment processes Comparative effectiveness of different psychotherapy approaches Applications to anxiety disorders, particularly panic disorder Emotion regulation and its role in therapeutic change Working alliance dynamics across different populations His publication record demonstrates a strong trajectory of methodological innovation in psychotherapy research. Recent work has focused on time-lagged panel models, copula models for causal inference, and detrending methods to better understand the complex temporal dynamics of therapeutic change. His research consistently examines how specific therapeutic processes (such as working alliance, attachment patterns, and emotional processing) relate to treatment outcomes across various disorders and populations, with particular attention to panic disorder and depression. Dr. Falkenström has published extensively in top-tier journals including Clinical Psychology Review, Journal of Consulting and Clinical Psychology, and Psychotherapy Research. His work has significant implications for both the science and practice of psychotherapy, helping clinicians better understand which components of therapy contribute to positive outcomes and how to optimize treatment approaches for individual patients. His research extends across multiple settings and populations, including studies on adolescent mental health, foster care interventions, and cross-cultural applications of psychotherapy. This breadth demonstrates his commitment to understanding psychotherapy mechanisms across diverse contexts and client groups.

Erik BekkersView profile

Associate Professor

• Geometric Machine Learning
• Deep Learning
• Medical Image Analysis
• +4 more

Erik Bekkers is an Associate Professor at the University of Amsterdam's Informatics Institute, leading research in the Machine Learning Lab (AMLab). His work bridges geometric mathematics and machine learning, focusing on developing robust and efficient deep learning architectures grounded in symmetry, equivariance, and physical principles. Education: PhD in Biomedical Engineering (cum laude) from Eindhoven University of Technology Previous Roles: Postdoctoral researcher in applied differential geometry at TU/e Department of Applied Mathematics His research spans: Group convolutional neural networks Symmetry-preserving representation learning Generative modeling on manifolds Physics-informed neural networks Medical imaging applications Recent publications emphasize geometric latent variable models, equivariant diffusion methods, and applications to molecular generation, medical imaging, and physics-driven AI. His team actively explores structure-preserving and self-supervised learning techniques. Scientific Awards MICCAI Young Scientist Award (2018) Philips Impact Award (MIDL 2018) NWO VENI grant: Context-Aware AI in Medical Imaging (2023) NWO VIDI grant: Neural Ideograms - Geometry-Grounded AI (2024) As co-founder of the ICML'24 GRaM workshop , he promotes geometry-grounded approaches in AI. His lab actively investigates geometric regularization, manifold-based PDE forecasting, and symmetry-aware generative methods.

Artur CzumajView profile

Professor

• Theoretical Computer Science
• Randomized Algorithms
• Parallel and Distributed Computing
• +4 more

Artur Czumaj is a Professor of Computer Science and Director of the Center for Discrete Mathematics and its Applications (DIMAP) at the University of Warwick, United Kingdom. He is a member of the Global Faculty at the University of Cologne and serves as President of the European Association for Theoretical Computer Science (EATCS). PhD and Habilitation from University of Paderborn Recipient of the IBM Award and Fellow of EATCS His research focuses on theoretical computer science, particularly in the design of randomized algorithms, analysis of large data, and applications to parallel/distributed computing, property testing, sublinear algorithms, optimization algorithms, and algorithmic game theory. His work has been funded by major institutions including EPSRC, NSF, Royal Society, European Union, Simons Foundation, and IBM. The 15 most recent publications reflect expertise in graph algorithms, distributed systems, approximation techniques, and algorithmic complexity. His research spans foundational algorithm design to practical applications in large-scale data processing. Fellow of the European Association for Theoretical Computer Science (EATCS) IBM Award recipient Czumaj has held leadership roles in prominent conferences, including Program Committee Chair for STOC, ICALP, SODA, and HALG. His academic career is supported by grants from multiple international research councils and organizations.

Corinna BrungsView profile

Researcher

• Phytochemistry
• Biodiscovery
• Mass Spectrometry
• +4 more

Corinna Brungs is a Senior Scientist at the University of Vienna , affiliated with the Faculty of Life Sciences and the Department of Pharmaceutical Sciences (Division of Pharmacognosy). Her research focuses on applying cutting-edge mass spectrometry techniques for natural product identification, biomarker discovery, and untargeted metabolomics workflows. Developing open mass spectral libraries Advancing data processing strategies Specializing in tattoo pigment and metabolite analysis Research Highlights: Brungs bridges phytochemistry and computational metabolomics through method development in mass spectrometry. Her work includes creating standardized protocols for: Tattoo pigment identification In-source fragmentation analysis Non-targeted drug exposure profiling Integration of mobility-resolved spectrometry Scientific Awards: 2025 Early Career Prize (Metabolomics Society) 2025 Early Career Travel Award (Metabolomics Society) 2022 Czech Academy of Sciences Fellowship Publications (2022-2025) demonstrate leadership in: MALDI-TIMS-MS2 bioimaging MZmine 3 software development Metabolomics data reproducibility Mass spectral library matching

Marco CaliendoView profile

Professor

• Labor Market Policies
• Entrepreneurship
• Personality Traits and Economic Outcomes
• +3 more

Prof. Marco Caliendo is a Professor of Empirical Economics at the University of Potsdam and a faculty member of the Berlin School of Economics (BSoE). He holds a PhD from Goethe University Frankfurt and is a Research Fellow at IZA, DIW Berlin, and IAB Nuremberg. His research focuses on labor market policies, entrepreneurship, personality traits' economic impacts, and microeconometrics. Education: Bachelor/Master in Economics at University of Manchester and Goethe University Frankfurt PhD in Economics (April 2005), Goethe University Frankfurt Key Roles: Director of Research at IZA (2009–2011) Program Director for 'Evaluation of Labor Market Programs' at IZA (2011–2023) Speaker of the Center for Economic Policy Analysis (CEPA) His research interests include labor market program evaluations, self-employment dynamics, unemployment behavior, and the role of personality in economic decisions. He has led projects like 'Evaluation of Startchancen Program' and studies on minimum wage impacts. His work emphasizes policy relevance, with over 21,000 Google Scholar citations (h-index 54) and top global rankings in RePEc. Publications span journals such as Review of Economics and Statistics and Journal of Human Resources , focusing on labor market interventions, entrepreneurship, and behavioral economics. His recent work addresses pandemic effects on self-employed mental health, minimum wage reforms, and start-up subsidy outcomes. Prof. Caliendo advises PhD students through workshops (e.g., IZA Entrepreneurship Research) and collaborates with institutions like CEPA and PCQR. His lab coordinates research on human capital investments and policy evaluation.

• Fuzzy Logic
• Artificial Intelligence
• Neural Networks
• +6 more

Professor Mahdi Mahfouf holds a Chair in the School of Electrical and Electronic Engineering at the University of Sheffield. He has held academic roles since 1997, progressing from Lecturer to Professor in 2005. His research focuses on Fuzzy Logic, Control Systems, and their applications in biomedical and industrial contexts. Mahfouf leads the Intelligent Systems Research Laboratory and has contributed over 370 publications, including influential work on fuzzy modeling and predictive control. Education: Ing.Dipl. (Hons) in Control Systems MPhil in Control Systems (University of Sheffield, 1988) PhD in Control Systems (University of Sheffield, 1991) Research Interests: Fuzzy Logic applications, Artificial Intelligence, Neural Networks, Model-Based Predictive Control, Biomedical Engineering (e.g., ICU Decision Support Systems), and Manufacturing Systems (e.g., granulation processes, surface metrology). Key Achievements: Recipient of the IEE Hartree Premium Award (1992) and MEDIPEX Innovation Award. His work integrates fuzzy logic into real-time systems for aviation, healthcare, and robotics. Grants & Labs: Leads the Intelligent Systems Research Lab. Active in collaborative projects with industry (e.g., pharmaceuticals, aerospace). His research bridges theory and practice, emphasizing data-driven solutions for complex systems.

Thomas O'BrienView profile

Lecturer

• Para Sport Science
• Exercise Physiology
• Sports Performance Analysis
• +4 more

Thomas O'Brien is a Lecturer in the School of Sport, Exercise and Health Sciences at Loughborough University, specializing in applied disability and para sport science. He holds a BSc in Sport and Exercise Science (Aberystwyth University, 2016), an MSc in Exercise Physiology (Loughborough University), and a PhD in thermoregulatory challenges in para populations (completed part-time at the Peter Harrison Centre for Disability Sport, PHC). His roles have included Research Assistant (2017), Performance Scientist for GB Wheelchair Rugby (2021–2024), and Research Associate at PHC (2022–present). He has been a key member of multidisciplinary teams supporting Paralympic athletes, focusing on performance optimization and physiological testing. His research interests center on para-sport biomechanics, thermoregulation in disabled athletes, and wheelchair rugby performance enhancement. He has collaborated with national governing bodies to advance knowledge exchange in wheelchair rugby and contributed to strategies for the Tokyo 2020 and Paris 2024 Paralympics. His work integrates sports science, strength and conditioning, and clinical physiology to improve athlete preparation and performance. Teaching roles include module leadership for the MSc Musculoskeletal Sport Science and Health’s “Para Sport: Rehabilitation to Performance” course and delivery of lectures on applied para-sport across undergraduate and postgraduate programs. His research spans topics like wheelchair propulsion biomechanics, cooling strategies for SCI athletes, and tendon adaptations in elite wheelchair athletes.

Hans-Martin SchwabView profile

Assistant Professor

• Biomedical Engineering
• Ultrasound Imaging
• Photoacoustics
• +3 more

Hans-Martin Schwab is an Assistant Professor at the Biomedical Engineering Department of Eindhoven University of Technology (TU/e), affiliated with the Eindhoven MedTech Innovation Center and the Photoacoustics and Ultrasound Laboratory. His research focuses on advanced ultrasound and photoacoustic imaging techniques, including multi-perspective imaging, model-based artifact reduction, and deep learning-assisted signal processing. He contributes to UN Sustainable Development Goals through innovations in medical imaging technologies. His expertise spans transducer engineering, circumferential strain imaging, and ultrasound reconstruction methods. Recent collaborations involve international teams working on applications like vascular strain analysis and tissue regeneration using ultrasound phased arrays. Over 28 publications since 2020 highlight contributions to photoacoustic imaging systems, numerical simulations, and clinical ultrasound advancements. Prof. Schwab teaches courses on ultrasound imaging, clinical measurements, and blood oxygenation imaging. He has supervised numerous projects, including DBL initiatives on light/sound integration for medical imaging. His work emphasizes translating theoretical models into practical clinical tools, with a focus on improving diagnostic accuracy and patient outcomes.