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Johannes CarmesinView profile

Professor

• Graph Theory
• Combinatorics
• Topology
• +3 more

Prof. Johannes Carmesin is a Professor at the Faculty for Mathematics and Computer Science, Technische Universität Bergakademie Freiberg. His research focuses on advanced topics in Graph Theory, Combinatorics, and Topology, with notable contributions to 3-dimensional Kuratowski-type theorems and the extension of Structural Graph Theory to simplicial complexes. He leads the Discrete Structures group, which explores areas including Graph Minors, Matroid Theory, and Infinite Graphs. Education and Career: He holds a PhD (2015) and Habilitation (2018) in Mathematics, with earlier work on harmonic functions in networks (Master's 2012). His academic journey includes research on infinite matroids and tree-decompositions. Research Interests: Carmesin’s work bridges discrete mathematics and topology, emphasizing structural properties of graphs and their embeddings. Key areas include 3D graph embeddings, connectivity in infinite graphs, and matroid characterizations. He has pioneered methods for analyzing 2-dimensional simplicial complexes and their topological representations. Recent Trends in Publications: His recent work extends Graph Minor Theory to temporal networks and 3D spaces, with a focus on canonical decompositions, tangle theory, and applications in large-scale network analysis. His 2023 European Prize in Combinatorics recognizes breakthroughs in 3D Kuratowski analogues. Awards: European Prize in Combinatorics (2023) Advising and Team: Supervised PhD students Emily Nevinson and Tsvetomir Mihaylov, and mentored master’s students like Will J. Turner. His research team includes Dr. Jan Kurkofka and Dr. Matthew Kroeker. Notable collaborations address infinite graph connectivity and Stallings-type theorems for finite groups. Labs/Groups: Directs the Discrete Structures research group, which hosts regular seminars and collaborates internationally. Past members include Georgios Kontogeorgiou and Lyuben Lichev as interns.

Zevi MillerView profile

Professor

• Graph Theory
• Combinatorics
• Complexity Theory
• +1 more

Zevi Miller is a Professor in the Department of Mathematics at Miami University, located in Oxford, Ohio. He holds a B.S. (Honors Mathematics) from the University of Michigan (1972) and a Ph.D. in Mathematics from the same institution (1979). His research focuses on Graph Theory, Combinatorics, Complexity Theory, and Theoretical Computer Science, with particular emphasis on graph embeddings, permutation arrays, and algorithm design. Professional History: Miller began as a Teaching Fellow at the University of Michigan (1972–1978), then joined Miami University as Assistant Professor (1978–1982), progressing to Associate Professor (1982–1988) and Full Professor (1988–present). He has held visiting roles, including Visiting Professor at the University of Texas–Dallas (1985) and Visiting Scholar at UC Berkeley (1986), where he participated in the Mathematical Sciences Research Institute’s complexity theory program. Research interests include graph theory applications, combinatorial optimization, and theoretical computer science challenges such as Steiner trees and hypercube embeddings. His work often intersects algorithm design and discrete mathematics, with contributions to bandwidth optimization, graph layouts, and permutation arrays. Publications span over four decades, including foundational papers on graph embeddings, Steiner trees, and algorithmic graph theory. His collaborative research with scholars like I.H. Sudborough and D. Pritikin highlights interdisciplinary approaches to complex computational problems.

Ferit ÖztürkView profile

Professor

• Singularity Theory
• Contact Topology
• Symplectic Topology
• +1 more

Ferit Öztürk is a Professor in the Mathematics Department at Bogazici University, specializing in singularity theory, contact topology, and symplectic topology. He leads the Geometry/Topology Seminar and supervises numerous graduate students in these fields. His research bridges topological methods with applications in robotics and dynamical systems. Recent work includes exotic manifold construction, real contact structures on 3-manifolds, and Morse-Bott theory on Lie groups. Dr. Öztürk holds a Ph.D. from Middle East Technical University (2001) and has developed course materials on Morse Theory and Projective Geometry. Student Supervision: 12+ M.S./Ph.D. students in topology and geometry Research Tools: Contact branched covers, real algebraic models, geometric surgery

• Crystal Plasticity
• Materials Science
• Computational Materials Engineering
• +5 more

Martin Diehl is a computational materials scientist affiliated with KU Leuven (Departments of Computer Science and Materials Engineering) and the Max-Planck-Institut für Eisenforschung GmbH in Germany. His work focuses on crystal plasticity simulations, computational materials engineering, and multi-physics modeling of metallic systems. Research interests include: Crystal plasticity finite element method (CPFEM) and spectral solvers Microstructure evolution and damage mechanics Machine learning applications in materials design Development of the DAMASK simulation toolkit Multi-phase steel alloys and heterogeneous deformation Integrated computational materials engineering (ICME) Key trends in his publications since 2021 highlight advancements in: Multi-physics DAMASK framework for coupled chemo-mechanical and thermal simulations AI-driven inverse design of steel microstructures Damage modeling in dual-phase steels Collaborative software development for materials science Experimental-simulation integration for stress-strain partitioning High-resolution spectral methods for finite strain analysis He actively collaborates with institutions like Harbin Institute of Technology, University of Oxford, and research groups across Europe and Asia.

Joe D. WarrenView profile

Professor

• Computer Graphics
• Geometric Modeling
• Computational Geometry
• +3 more

Joe D. Warren is a Professor of Computer Science at Rice University, where he has served since 1986. His research focuses on computer graphics, geometric modeling, and computational geometry, with notable contributions to subdivision surfaces, as detailed in his book Subdivision Methods for Geometric Design . He also explores bioinformatics applications, including 3D modeling of mouse brain gene expression and lung motion analysis from 4D CT scans. Additionally, Warren teaches courses in computer game design and introductory programming, co-developing award-winning Coursera specializations. He earned his Ph.D. from Cornell University and previously served as Department Chair (2008-2013). Education: B.Sc. (Rice University, 1983), Ph.D. (Cornell University, 1986) Research Collaborators: Baylor College of Medicine, MD Anderson Cancer Center, Texas A&M Teaching: COMP460 (Game Design), COMP110 (Introductory Computing) His work on the GRACE tool (Graphical Ruler and Compass Editor) won the 1998 Quest for Java award. He has advised PhD students now at Washington University and Texas A&M. Current projects include game prototyping with Pi Studios and lung motion modeling for medical diagnostics.

Chia-Wen ChenView profile

Researcher

• Item Response Theory
• Forced-Choice Items
• Computerized Adaptive Testing
• +3 more

Dr. Chia-Wen Chen is a Psychometrician at the Psychometrics Centre within the Cambridge Judge Business School , specializing in Executive Education. Originally from Taiwan, he holds a PhD in Psychometrics from the Education University of Hong Kong (2018), preceded by a master's degree in Psychology from National Chung Cheng University (2012). His career spans institutions in Taiwan, Hong Kong, Norway, and the UK, including postdoctoral research at the University of Oslo's Centre for Educational Measurement (2019-2023). PhD in Psychometrics (2018), Education University of Hong Kong MSc in Psychology (2012), National Chung Cheng University Postdoctoral Researcher (2019-2023), University of Oslo Chia-Wen's research focuses on Item Response Theory (IRT) models for forced-choice and compositional items , with applications in computerized adaptive testing (CAT) , differential item functioning (DIF) , and multilevel modeling . His work includes developing novel IRT methods for ranking items and Most-Least formats, addressing reliability/validity in educational scales like the Principal Instructional Management Rating Scale (PIMRS), and analyzing large-scale datasets (PISA) for cross-national educational insights. Recent publications demonstrate expertise in ipsative testing , online parameter estimation , and factor mixture modeling for educational diagnostics. He has also contributed to methodologies for CAT algorithms in educational evaluation and fault line analysis in school leadership teams.

• Cognitive Neuroscience
• Functional Neuroimaging
• Brain Mapping
• +3 more

Sabrina Pitzalis is an Associate Professor at the University of Rome 'Foro Italico', Department of Human Motor Sciences and Health. She serves as Delegate for Gender Budget and Head of the SACS (Student Counselling and Help Desk). Her research focuses on cognitive neuroscience, functional neuroimaging, and brain mapping, with specializations in neural mechanisms of perception, sensorimotor functions, and brain plasticity induced by motor activity. She leads projects like the 2019 study on neuromuscular electrical stimulation effects. Her work integrates neuroimaging techniques to explore topics such as anticipatory brain activity and motion perception. Pitzalis teaches courses in sport psychology, neuroscience, and pedagogy, emphasizing the interplay between cognitive and motor systems. Her research highlights neural adaptations to sensory and motor interventions, including multifocal contact lenses and exoskeleton-assisted rehabilitation. Research Themes: Neural basis of perceptual and sensorimotor functions Brain plasticity and motor learning Anticipatory neural processing during action preparation Integration of visual and motor signals in spatial navigation Recent Contributions: Her articles (2022–2025) reveal insights into how brain circuits process self-motion, adapt to sensory interventions, and modulate during complex cognitive-motor tasks. These studies use advanced neuroimaging and electrophysiological methods to map functional brain dynamics. Ongoing work explores neurocognitive trade-offs in dual-task scenarios and the role of parietal cortex in visuomotor integration. Teaching and Leadership: Pitzalis contributes to degree programs in Sports Sciences (L22), Preventive Motor Activities (LM67), and Sports Technology (LM68). She promotes interdisciplinary approaches, combining neuroscience with sport pedagogy. Her leadership roles emphasize institutional quality assurance and student support initiatives. Labs/Teams: Collaborates within university labs specializing in motor neuroscience and neuroimaging, contributing to projects on neural adaptation mechanisms and clinical applications in rehabilitation.

Wendy HellerView profile

Professor

• Cognitive Neuroscience
• Emotion-Cognition Interactions
• Neuroimaging
• +7 more

Wendy Heller is a Professor of Psychology at the University of Illinois at Urbana-Champaign, affiliated with the Cognitive Neuroscience Group at the Beckman Institute (part-time), Gender and Women's Studies, Biomedical and Translational Sciences, and the Institute for Sustainability, Energy, and Environment. She previously served as Director of Clinical Training and Department Head in the Psychology Department, and as Provost Fellow for diversity initiatives. B.A. in Spanish and Psychology with Honors, University of Pennsylvania M.A. and Ph.D. in Biopsychology, University of Chicago Her research focuses on neural mechanisms of emotion-cognition interactions in psychopathology, particularly anxiety and depression. Using fMRI, EEG, and ERP methods, she investigates brain lateralization, network connectivity, and top-down emotional regulation. A pioneer in inclusive science , she integrates equity considerations into psychology research frameworks. The 2010-2025 publications demonstrate sustained contributions to anxiety/depression neuroscience , with recurring themes in executive dysfunction , emotion regulation , neural plasticity , and transdiagnostic models . Her work bridges clinical psychology and cognitive neuroscience through methodological innovations in machine learning applications to neuroimaging. Scientific recognition includes: Larine Y. Cowan Make a Difference Award (2010) Arnold O. Beckman Research Award (2013) Executive Officer Distinguished Leadership Award (2019) PRESIDENT’S EXECUTIVE LEADERSHIP PROGRAM (2019-20) LAS Impact Award (2021) As director of the Cognitive & Affective Neuroscience of Psychopathology (CANOPY) Lab , she leads research on brain mechanisms in mental health, funded by NIMH and NIDA. Her team employs multi-modal approaches combining behavioral tasks, neuroimaging, and clinical assessments.

Juan R. CebralView profile

Professor

• Computational Fluid Dynamics
• Hemodynamics
• Cerebral Aneurysms
• +7 more

Juan R. Cebral is a Professor in the Departments of Bioengineering and Mechanical Engineering at the Volgenau School of Engineering, George Mason University. He leads the Computational Hemodynamics Laboratory and maintains affiliations with the Center for Computational Fluid Dynamics and the Krasnow Institute for Advanced Studies. His research bridges engineering and medicine to address life-threatening vascular conditions through computational modeling. He earned his PhD in Computational Sciences and Informatics from George Mason University in 1996 and completed his MSc in Physics at the University of Buenos Aires, Argentina in 1991. Originally from Plaza Huincul in Patagonia, Argentina, he has built an internationally recognized research program focused on patient-specific modeling of cerebral blood flow. Professor Cebral's research centers on using computational fluid dynamics to model hemodynamics in cerebral aneurysms and other vascular diseases. His work investigates the relationship between blood flow patterns and aneurysm development, rupture, and treatment outcomes, with particular focus on flow diversion techniques. His lab develops methods for constructing patient-specific anatomical models from medical images and applies them to enhance risk assessment and personalize endovascular treatments. His research has been funded by the National Institutes of Health, American Heart Association, Whitaker Foundation, and industry partners including Philips Healthcare and Boston Scientific. His recent publications (2024-2025) demonstrate continued focus on cerebral aneurysm hemodynamics with increasing attention to flow diversion mechanisms, fibrin accumulation, and aneurysm wall integrity. His work integrates computational modeling with biological and clinical data to better understand aneurysm growth patterns, rupture risks, and treatment outcomes, featuring sophisticated multi-scale modeling approaches that connect hemodynamic conditions with biological responses in the vessel wall. His research has been funded by prestigious organizations including the National Institutes of Health, American Heart Association, and Whitaker Foundation His work has been featured in Forbes Argentina (August 5, 2024 and October 7, 2024) His student Medhini Sosale earned the prestigious Goldwater Scholarship (April 12, 2022) Professor Cebral mentors students in bioengineering research, with several advisees receiving significant recognition. His research program is supported by multiple NIH grants including R01 NS076491 (Computational and Biological Approach to Flow Diversion) and R21 NS094780 (Improved evaluation of PCOM aneurysms), as well as funding from Philips Medical Systems and Mayo Clinic. He collaborates extensively with clinicians at Inova Fairfax Hospital, Mayo Clinic, and international institutions to translate computational findings into clinical practice. He directs the Computational Hemodynamics Laboratory at George Mason University, which specializes in patient-specific modeling of blood flows in cerebral aneurysms. The lab works closely with the Center for Computational Fluid Dynamics and collaborates with clinicians and researchers from Inova Fairfax Hospital, Mayo Clinic, Allegheny General Hospital, Kuopio Medical Center in Finland, Clinica ENERI in Argentina, University of Pittsburgh, and Barcelona Supercomputing Center.

• Lipid Metabolism
• Cancer Biology
• Neurodegenerative Diseases
• +3 more

Johannes Swinnen is a Full Professor at the Faculty of Medicine , KU Leuven , and leads the Laboratory of Lipid Metabolism and Cancer . He also directs the Lipometrix - KU Leuven Lipidomics Core Facility and the Subdivision JS - LISCO-BIOMED , while being a member of the LISCO - KU Leuven Institute for Single Cell Omics and LKI - KU Leuven Cancer Institute . Research Focus: Lipid metabolism in cancer and neurodegenerative diseases Leadership: Head of multiple research units Teaching: Courses on cancer treatment and biomedical research methods Research Interests span lipidomics, cancer metabolism, and neurodegeneration, with projects targeting lipid pathways in prostate, pancreatic, and liver cancers. His recent publications in top journals demonstrate translational applications of lipid metabolism research. Projects include: PRORUST (2025-2028): Exploiting lipid metabolism in prostate cancer Immunolipidomics (2025-2027): Developing lipid-targeted pancreatic cancer therapies CK2-MLX Pathway (2024-2028): Preventing liver cancer through metabolic intervention GRAN'PA (2025-2029): Investigating lipid homeostasis in neurodegenerative diseases Technical Innovations focus on enhancing mass spectrometry imaging resolution. His teaching portfolio includes courses on cancer treatment, lipid metabolism in health, and biomedical research methods.

• Efficiency Analysis
• Composite Indicators
• Behavioral Economics
• +5 more

Nicky Rogge serves as an Associate Professor at KU Leuven's Faculty of Economics and Business (FEB), holding dual appointments at both the Brussels and Leuven campuses within the Economics Research Group. Rogge also leads Subdivision 30 at the Brussels Campus and participates in the Council of the Faculty of Economics and Business and the Campus Council for FEB's Brussels operations. Rogge's research spans behavioral economics with a focus on autism spectrum disorder decision-making, efficiency analysis using Data Envelopment Analysis (DEA), and composite indicators for policy evaluation. Key interests include the Benefit-of-the-Doubt methodology for measuring social inclusion, well-being, poverty in high-income settings, and multidimensional deprivation. Recent work examines choice architecture interventions for autistic individuals, sunk-cost bias comparisons, and EU progress toward social targets. Analysis of Rogge's publication trends reveals a strong interdisciplinary approach combining economic methodology with social policy applications. The research consistently applies non-parametric efficiency techniques to behavioral experiments (particularly autism-related decision studies) and composite indicator construction for complex policy domains like poverty measurement and EU development targets. This dual focus creates valuable bridges between theoretical economic methods and practical social policy evaluation. Rogge actively supervises doctoral research, notably serving as co-promotor for T. Soare's project Invisible in Plain Sight: The Economics of Extreme Poverty in High-Income Settings . Current research funding includes the 2021-2025 project Essays on nonparametric business performance measurement as promotor, alongside co-promotor roles in studies examining begging/homelessness in Brussels and extreme poverty economics. Teaching responsibilities encompass Sustainable Development, Introduction to Economics, Microeconomics for Business, and Managerial Economics courses at both undergraduate and graduate levels, demonstrating commitment to foundational economic education alongside specialized research topics.

Marcy K. UyenoyamaView profile

Professor

• Evolutionary Biology
• Population Genetics
• Molecular Evolution
• +3 more

Marcy K. Uyenoyama is a Professor of Biology at Duke University, affiliated with the Trinity College of Arts & Sciences. Her research focuses on mechanisms of evolutionary change at molecular and population levels, including the development of statistical methods for inferring evolutionary processes. She holds a PhD (1978) and BS (1974) from Stanford University. Research Interests: Dr. Uyenoyama studies evolutionary genetics, population structure, and the application of Bayesian and maximum-likelihood methods to analyze genetic variation. Her work addresses topics like genetic diversity in mating systems, coalescent theory, and FST statistics. Grants & Awards: Notable grants include NIH support for Mathematical Population Genetics (1986–2014) and a Fogarty International Center grant (1996). Awards include the Karlin Prize (1991) and Sloan Foundation Sabbatical Award (1992). Teaching & Service: Teaches courses like BIOLOGY 460 (Population Genetics) and BIOLOGY 660 (Evolution from a Coalescence Perspective). She has held leadership roles such as Director of Graduate Studies (1997–1999) and chairs committees like the Biology Computing Committee (2005–2007). Active in editorial roles for journals like Theoretical Population Biology and Molecular Biology and Evolution . Labs & Teams: Directs the Marcy Lab ( marcylab.duke.edu ), focusing on theoretical and computational approaches to population genetics.

Graham ShieldsView profile

Professor

• Geochemistry
• Earth System Science
• Precambrian Studies
• +4 more

Prof Graham Shields is a Professor of Geology at University College London's Department of Earth Sciences. His research focuses on Earth's evolution through geochemical and isotopic analysis, particularly in the Precambrian and Cambrian periods. He investigates how the planet's surface environment co-evolved with life, with a focus on ocean/atmosphere composition during critical junctures like the Sturtian Snowball Earth event and Ediacaran-Cambrian transitions. His work combines field studies in Australia, Spain, and China with analytical techniques such as Rb-Sr dating, multi-isotope analysis, and sedimentary proxy development. Research themes include ocean oxygenation, redox dynamics, and the interplay between glaciation, volcanism, and biological innovations. Applied projects explore geochemical solutions for environmental issues like soil erosion and sustainable resource extraction. He leads the Precambrian Research Group and contributes to initiatives like the Life and the Planet initiative. Publications span Neoproterozoic climate modeling, Ediacaran ocean chemistry, and the geological time scale subdivision. Courses taught include GEOL0008 (Geochemistry).

• Music Cognition
• Neuroscience
• Brain Imaging
• +7 more

Peter Vuust is a Professor at the Center for Music in the Brain, Department of Clinical Medicine, Aarhus University. With over 397 publications and 22 ongoing or completed research projects, his work bridges neuroscience, music cognition, and clinical applications. His research spans multiple decades with significant publication output from 2000-2025, showing increasing productivity in recent years with 27 publications in 2024 and 19 in 2025. His research interests focus on music cognition and neuroscience, particularly examining how the brain processes musical elements like rhythm, harmony, and beauty. Vuust employs advanced neuroimaging techniques including fMRI, MEG, and EEG to investigate auditory processing, neural entrainment, and the relationship between music training and cognitive abilities. Key areas include mismatch negativity, auditory cortex function, brain networks, and functional connectivity during music perception. His work spans fundamental research on rhythm perception and musical beauty to clinical applications involving cochlear implants and music therapy. Vuust's recent publications (2023-2025) demonstrate a strong focus on the neural correlates of musical experience, with particular attention to rhythm perception, musical beauty, and the relationship between music training and sensory processing. His work often involves interdisciplinary collaborations and combines behavioral measures with neuroimaging to provide comprehensive insights into music cognition. Current research directions include studying rhythmic complexity, neural entrainment, music's therapeutic applications for sleep, and the development of music processing skills in cochlear implant users. Professor Vuust actively engages with the public through numerous presentations and media appearances, including recent talks at Roskilde Oplysningsforbund, Lægeforeningen, Folkekirkens Uddannelses- og Videnscenter, Djursland Jazzfestival, and HerningErMusik in 2024. His research is supported by various funding sources including Helsefonden (Danish Health Foundation), with multiple ongoing projects exploring musical rhythm, neural entrainment, developmental aspects of music processing, and music's therapeutic applications. At the Center for Music in the Brain, Vuust collaborates with researchers including Elvira Brattico, Simone Dalla Bella, Morten Kringelbach, and Bjorn Petersen. His interdisciplinary team spans neuroscience, musicology, and clinical medicine, working together to unravel the complex relationship between music and the brain through both basic and applied research.

Rudi PendavinghView profile

Assistant Professor

• Matroid Theory
• Topological Graph Theory
• Discrete Mathematics
• +4 more

Rudi Pendavingh is an Assistant Professor at the Department of Mathematics and Computer Science at Eindhoven University of Technology. Affiliated since 1999, he specializes in matroid theory , combinatorics , and topological graph theory within the Combinatorial Optimization group. Research Interests include: Matroid theory with focus on excluded minors and representability over partial fields Topological graph theory, particularly Colin de Verdière invariants for surface-embedded graphs Discrete optimization modeling and algorithmic complexity Geometric combinatorics in polyhedral complexes like Dressians Recent Publications highlight his work on: Stable tournament formats using finite projective planes (2025) Bounding topological graph parameters via combinatorial methods (2024) Computational enumeration of matroid minors (2024) Asymptotic analysis of Dressian dimensions (2024) Contact : Email: r.a.pendavingh@tue.nl Phone: +31 40 247 4235 Office: MetaForum 4.105, TU/e Campus