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Maryke van der WaltView profile

Associate Professor

• Data Science
• Computational Harmonic Analysis
• Approximation Theory
• +1 more

Maryke van der Walt is an Associate Professor of Mathematics in the Department of Mathematics and Computer Science at Westmont College. She joined Westmont in 2017 after serving as an assistant professor at Vanderbilt University. Her academic journey spans multiple continents, reflecting her South African origins and international educational background. Her educational background includes: PhD in Applied Mathematics (2015) from University of Missouri-St. Louis MSc in Mathematics (2012) from Stellenbosch University, South Africa BSc in Mathematical Sciences (2009) from Stellenbosch University, South Africa Professor van der Walt's research focuses on applying advanced mathematical techniques to real-world problems, particularly in medical applications. Her work bridges theoretical mathematics with practical implementation, with special emphasis on computational harmonic analysis, approximation theory, and spline theory. She develops mathematical models that have direct applications in signal processing and medical data analysis, creating solutions that can be implemented in real-time systems for healthcare monitoring and prediction. Her publication record demonstrates consistent contributions to applied mathematics, with recent work focusing on diabetic blood glucose prediction using deep learning approaches, real-time spline interpolation techniques, and advanced signal analysis methods. These publications appear in reputable journals including Frontiers in Applied Mathematics and Statistics, Applied Mathematical Sciences, and GEM - International Journal on Geomathematics. Professor van der Walt maintains an active teaching schedule at Westmont College, instructing courses ranging from Calculus and Linear Algebra to specialized topics like Introduction to Subdivision Methods. Her teaching experience spans multiple institutions including Vanderbilt University and the University of Missouri-St. Louis, covering both undergraduate and graduate level mathematics courses.

Eric KatzView profile

Associate Professor

• Combinatorial Algebraic Geometry
• Arithmetic Geometry
• Tropical Geometry
• +3 more

Eric Katz is an Associate Professor in the Department of Mathematics at The Ohio State University. His research focuses on Combinatorial Algebraic Geometry, Arithmetic Geometry, and Tropical Geometry. He previously held positions at the University of Waterloo and Duke University, and completed his PhD at Stanford University. His work bridges algebraic geometry with combinatorial structures, contributing to foundational results like the proof of the Heron-Rota-Welsh conjecture on matroid log-concavity. His research also intersects Diophantine geometry and matroid theory. Education: BS in Mathematics, The Ohio State University, 1999 PhD in Mathematics, Stanford University, 2004 Research Interests: Katz explores tropical geometry's applications to algebraic and arithmetic problems, including Hodge theory for matroids and uniformity of rational points on curves. His work often involves combinatorial methods to study geometric invariants and Diophantine equations. Grants and Funding: Received NSF CAREER Award for Tropical and Diophantine Geometry (2018). Active in collaborative projects on matroid theory and tropical algebraic geometry.

• Numerical Analysis
• Geometric Modeling
• Approximation Theory
• +3 more

Lucia Romani is a Full Professor in Numerical Analysis at the Department of Mathematics, University of Bologna. She holds a PhD from the University of Padua (2004) and a Master's Degree in Mathematics (summa cum laude) from the University of Bologna (2000). Her research focuses on geometric modeling, approximation theory, numerical linear algebra, and applications in computer-aided design and image processing. She has authored over 80 scientific publications and serves on editorial boards of journals like Computer-Aided Design and Computer Aided Geometric Design . She actively participates in SIAM and the Solid Modeling Association (SMA), holding leadership roles such as Vice Chair of the SIAM Activity Group on Geometric Design (2023-2024) and Program Co-Chair of SPM 2025. Her work includes organizing international conferences and supervising numerous theses across PhD, Master's, and Bachelor's levels. Her professional journey includes roles at the University of Milan-Bicocca (2007-2022) and postdoctoral fellowships at the University of Bologna (2003-2007) and the University of Cambridge (2002). She has conducted research visits at institutions like the University of Cambridge, EPFL, and ICTP Havana. She has also served on evaluation committees for doctoral theses and research projects in Italy and abroad. Research interests span subdivision schemes, Pythagorean Hodograph curves, and spline-based interpolation. Her recent work includes advancements in algebraic characterizations of curves, non-stationary subdivision algorithms, and applications in biomedical imaging and computer graphics.

• Sensory Science
• Eating Behavior
• Food Texture
• +5 more

Dr. Marlou Lasschuijt-Schipper is an Assistant Professor in the Sensory Science and Eating Behaviour group at Wageningen University & Research. Her research focuses on the interplay between sensory, physiological, and behavioral factors influencing eating patterns, particularly in clinical and healthy populations. She holds a PhD from Wageningen University, where her thesis explored satiation mechanisms related to sensory and physiological systems. Her postdoctoral work involved developing novel technologies to measure eating behavior in adults and children. Key research interests include food texture effects on metabolism, early-life feeding practices, eating behavior in children with Down syndrome and autism spectrum disorders, and interventions to improve dietary choices. She leads projects on automated dietary assessment tools and video-based behavioral analysis. Her 23+ publications span topics like eating rate impacts on energy intake, bite-counting algorithms from videos, and neurophysiological mechanisms of satiation. Notable contributions include systematic reviews on cephalic phase responses and eating behavior video analysis. She collaborates with interdisciplinary teams on innovations in nutrition assessment and behavioral interventions. Lasschuijt-Schipper is affiliated with the Human Nutrition and Health subdivision and actively involved in 5 research projects addressing obesity prevention, child nutrition, and sensory exposure optimization. Her work bridges clinical nutrition, technology, and behavioral science to promote healthier eating habits across lifespans.

• Library Science
• Information Literacy
• Academic Libraries
• +3 more

Heidi Buchanan is a Professor at Western Carolina University's Hunter Library. She holds an MLS from the University of North Carolina at Chapel Hill. Her research focuses on innovative library practices, including active learning environments, one-shot instruction strategies, and curriculum mapping. Her work bridges traditional library services with modern educational technologies, emphasizing user-centered approaches to information access and literacy. She has published extensively on topics like catalog search optimization, digital collaboration, and the role of libraries in comprehensive universities. Notable publications include studies on wireless active learning classrooms and the integration of LC subdivisions in reference services. Her contributions address challenges in academic library operations while advocating for adaptive, technology-driven solutions. No scientific awards are listed, but her work reflects sustained engagement with evolving academic library needs. She has advised no students in the provided data, focusing instead on professional development and instructional methodologies. Labs or specialized teams are not explicitly mentioned, though her office location at Hunter Library suggests involvement in institutional library initiatives. Grants and funding details are absent from the text. Her full description highlights a career dedicated to enhancing library services through pedagogical innovation and technological adaptation.

Rob KusnerView profile

Professor

• Geometric analysis
• Variational problems
• Low dimensional geometry & topology
• +5 more

Robert B. Kusner is a Professor of Mathematics at the University of Massachusetts Amherst, directing the Center for Geometry, Analysis, Numerics and Graphics (GANG). His research focuses on geometric analysis, variational problems, low-dimensional topology, and mathematical visualization. He holds editorial roles at journals like Journal of Experimental Mathematics and has served on the Board of Trustees for the Association of Members of the Institute for Advanced Study. Kusner earned his Ph.D. from UC Berkeley (1988) and has held visiting positions at institutions including Stanford, Penn, and the Isaac Newton Institute. His work spans minimal surfaces, constant mean curvature surfaces, knot theory, and applications in biomathematics. He has advised students on topics ranging from geometric configurations to biomembrane modeling. Kusner’s contributions include over 150 publications and collaborations in experimental mathematics, geometric flows, and interdisciplinary research. Education: Ph.D. Mathematics, University of California, Berkeley, 1988 C.Phil. Mathematics, University of California, Berkeley, 1984 B.A. Mathematics and Physics, Haverford College, 1981 Research Interests: Geometric analysis, variational problems, minimal surfaces, Willmore energy, knot energies, biomembrane modeling, and topological configurations. Grants & Collaborations: Extensive funding for research in geometric analysis and interdisciplinary projects. Collaborations include work on the Willmore conjecture, biomembrane numerical methods, and topological colloids. Labs/Teams: Director of GANG, leading a team in experimental geometry and computational mathematics. Active in organizing workshops on geometric topology and condensed matter physics.

Kai HormannView profile

Professor

• Computational Sciences
• Geometric and Visual Computing
• Informatics
• +3 more

Kai Hormann is a full professor in the Faculty of Informatics at Università della Svizzera italiana (USI Lugano). He earned his Ph.D. in computer science from the University of Erlangen-Nürnberg in 2002 and has held positions at Clausthal University of Technology, Caltech, and the CNR in Pisa. His research focuses on mathematical foundations of geometry processing, including barycentric coordinates, subdivision algorithms, and rational interpolation. Hormann has authored over 100 publications and serves as an associate editor for journals like Computer Aided Geometric Design and Dolomites Research Notes on Approximation . In 2024, he received the prestigious John A. Gregory Award for his contributions to geometric modeling. Education : Ph.D. in Computer Science, University of Erlangen-Nürnberg (2002) Diploma in Mathematics, University of Erlangen (1997) Abitur, Leibniz-Gymnasium Bad Schwartau (1992) Research Interests : Hormann’s work bridges computer science, applied mathematics, and engineering. His current projects include interactive shape deformations, time-dependent object processing, 3D visualization, and GPU-accelerated algorithms. His research areas encompass geometry processing, computational sciences, and numerical analysis. Publications : His recent articles focus on barycentric coordinates, subdivision schemes, and surface reconstruction. Themes include transfinite coordinates, curvature continuity, and efficient interpolation methods. Awards : John A. Gregory Award (2024) Chair of SIAM Activity Group on Geometric Design (2017–2018) Advising & Grants : He has advised numerous PhD students, including work on barycentric rational curves and subdivision schemes. He has organized conferences such as the SIAM GD and GMP series, reflecting his leadership in computational geometry. Labs & Teams : Hormann is affiliated with the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI), collaborating on interdisciplinary projects in AI and geometry processing.

Chee YapView profile

Professor

• Computer algebra
• Symbolic-numeric computation
• Robotics
• +5 more

Chee Yap is a Professor of Computer Science at the Courant Institute of Mathematical Sciences, New York University, where he has been a faculty member since 1979. He previously held positions at the University of Southern California and has served as a Visiting Professor at several prestigious institutions including Oxford University, Seoul National University, and the Chinese Academy of Sciences. Dr. Yap received his BS in Computer Science & Mathematics (Double Major) from MIT in 1975 and his PhD in Computer Science from Yale University in 1980. His academic journey began at the Boys' Wing, Royal Military College in Malaysia. His research spans several areas in theoretical computer science and computational mathematics, with primary focus on Computer algebra and symbolic-numeric computation , Robotics , Visualization , Theory of algorithms , Exact computation , Complexity theory , and Computational geometry . His work bridges theoretical foundations with practical implementations, exemplified by his development of the Core Library for exact computation and the G-Vis System for visualization. Dr. Yap's publication record shows a consistent focus on robust geometric computation, algorithmic motion planning, and exact numerical methods. His recent work (2021-2026) demonstrates continued innovation in parameter estimation for differential equations, subdivision models, path planning algorithms, and root clustering techniques. His research maintains a strong connection between theoretical computer science and practical applications in robotics and scientific computing. Among his notable honors are the CAS President's International Visiting Scientist Fellowship (2018), KIAS Scholar award (2006-2009), Lester R. Ford Award (1990), and Fulbright Scholar Award (1988). He has also received multiple ACM Recognition of Service Awards for his conference leadership. Dr. Yap has been continuously funded by the National Science Foundation since 1984, securing approximately 20 grants valued at about $5 million. He has mentored 17 PhD students and 4 postdocs throughout his career. His editorial service includes long tenures on the boards of SIAM Journal of Computing (1985-2002), Journal of Computer and System Sciences (1986-2014), and Journal of Symbolic Computation (1988-2004), among others. He is the principal architect of the Core Library (http://cs.nyu.edu/exact) and co-architect of the G-Vis System (http://cs.nyu.edu/visual), and holds two visualization patents. His leadership in the academic community is evident through his roles as General Chair of the 42nd ISSAC conference and various program committee positions for major conferences including FOCS, ISSAC, SoCG, and WAFR.

Rayman MohamedView profile

Professor

• Urban Planning
• Transportation Safety
• Environmental Sustainability
• +5 more

Dr. Rayman Mohamed is a Professor and Chair of the Urban Studies and Planning Department at Wayne State University's College of Liberal Arts and Sciences. He also serves as the Graduate Director. His research focuses on urban planning, transportation, health, conservation subdivisions, Brownfields redevelopment, and behavioral psychology in planning. He has held leadership roles such as Track Chair and National Conference Chair for the Association of Collegiate Schools of Planning. Dr. Mohamed has secured over $3.4M in grants, including a $2.9M NSF training grant as co-PI. His education includes a Ph.D. in City and Regional Planning from Cornell University. He teaches courses like Quantitative Techniques and Planning Studies and Methods. Notable grants include the Michigan Health Endowment Fund's $100K BusMe project (2017), a Wayne State Pilot Grant on M-1 Rail impacts (2015), and a U-Haul International study on economic impacts (2014). His work bridges urban policy, legal frameworks, and public health, emphasizing interdisciplinary approaches to sustainable development and regulatory challenges.

Tamy BoubekeurView profile

Professor

• 3D Computer Graphics
• Computer-Aided Design
• Real-Time Rendering
• +3 more

Tamy Boubekeur is a Senior Director and Senior Principal Research Scientist at Adobe Research France, leading Adobe Research France and the Computer Graphics Group at Telecom Paris. He is a part-time Professor in Computer Science at École Polytechnique, Institut Polytechnique de Paris. Previously, he held roles including Full Professor at Telecom Paris (on leave since 2019), Chief Scientist at Allegorithmic, and Founder/Director of the Computer Graphics Group at Telecom Paris. His work bridges academia and industry, focusing on 3D computer graphics, geometry processing, and real-time rendering. Education: HDR (2012), PhD (2007), and MSc (2004) in Computer Science from French universities. Professional experience spans roles at INRIA, TU Berlin, and UBC. He has been involved in significant projects like FEMONUM (medical modeling) and 3DLife (European project). Research interests include 3D shape analysis, rendering techniques, GPU programming, and global illumination. His work emphasizes efficient processing of geometric data, with applications in medical imaging, animation, and real-time visualization. Notable contributions include SQEM for shape approximation and pioneering point-based global illumination techniques. Honors include multiple Best Paper Awards at Eurographics, SIGGRAPH, and Shape Modeling International. He has supervised numerous PhD students, many of whom now hold academic and industry roles. Boubekeur has chaired major conferences (e.g., EGSR 2019) and served on program committees for SIGGRAPH, EUROGRAPHICS, and others.

• Artificial Intelligence
• Machine Learning
• Industrial Applications of AI
• +3 more

Mathias Verbeke is an Associate Professor at the Faculty of Engineering Technology , affiliated with the Department of Computer Science at KU Leuven. He serves as Contact Person for the Declarative Languages and Artificial Intelligence (DTAI) group at the Bruges Campus and leads the M-Group Industrial Artificial Intelligence subdivision. His research focuses on Artificial Intelligence, Machine Learning , and their industrial applications, particularly in predictive maintenance, digital twin technology, and process optimization. His recent work explores uncertainty quantification in multi-objective optimization, anomaly detection frameworks, and physics-guided deep learning for thermal modeling. He actively contributes to Leuven.AI and collaborates with groups like Infinity and M-Group . At the institutional level, Verbeke participates in the Faculty of Engineering Technology Council and Computer Science Department Council . Verbeke teaches courses including Machine Learning , Artificial Neural Networks and Deep Learning , and Master’s Thesis Artificial Intelligence in Business and Industry .

Markus SteinbergerView profile

Associate Professor

• GPU Computing
• Computer Graphics
• Parallel Processing
• +3 more

Markus Steinberger is an Associate Professor at Graz University of Technology (Austria), leading the GPU Computing and Visualization Group at the Institute for Computer Graphics and Vision. He holds an MSc and PhD in Computer Science from TU Graz, with a postdoc and multiple leadership roles in academic and industry labs, including NVIDIA and the Max Planck Institute. His research focuses on GPU scheduling, parallel computing, and high-performance visualization techniques. He has led teams at TU Graz, Huawei Technologies (Cloud Rendering Lab), and the Max-Planck-Center for Visual Computing. Education 11/2020: Habilitation in Practical Computer Science at TU Graz 10/2013: PhD in Computer Science (Dynamic Resource Scheduling on Graphics Processors) 10/2010: MSc in Telematics 10/2005: BSc in Telematics Research Interests Steinberger’s work centers on optimizing GPU computing for real-time rendering and parallel processing. He explores efficient resource scheduling, dynamic graph management, and high-performance visualization techniques, with applications in cloud rendering, scientific visualization, and interactive graphics. His methods emphasize scalability and real-world applicability in both academic and industrial settings. Awards Heinz Zemanek Prize (2016) – First Austrian recipient GI Dissertation Prize (2014) – Best dissertation in German-speaking computer science Multiple Eurographics Best Paper Awards (2021, 2020, 2014) HPEC Best Student Paper (2017) ACM CHI Honorable Mention (2014) Advising & Grants Steinberger has advised numerous students and led projects funded by EU initiatives and industry partnerships. His research has been recognized through grants supporting GPU scheduling, cloud rendering, and parallel computing. Labs & Teams Leads the GPU Computing and Visualization Group at TU Graz and directed the Cloud Rendering Lab at Huawei, focusing on scalable rendering solutions for distributed systems.

• Pharmaceutical Analysis
• Biopharmaceuticals
• Separation Science
• +3 more

Ann Van Schepdael serves as Professor at KU Leuven's Faculty of Pharmaceutical Sciences , where she leads the Pharmaceutical Analysis unit and Subdivision Drug Analysis within the Department of Pharmaceutical and Pharmacological Sciences. She additionally directs the POC Farmaceutische Wetenschappen program and contributes to multiple faculty governance bodies including the Education-Support Committee and Faculty Council. Her research focuses on advanced separation science for pharmaceutical challenges, specializing in capillary electrophoresis , chromatography , and mass spectrometry applications. Current investigations address biopharmaceutical quality testing , antibiotic stability , and cost-effective screening methods for global health contexts, with significant collaborations in Ethiopia for traditional medicine quality control. Method development emphasizes practical solutions for drug analysis in resource-limited settings. Recent publications (2024-2025) reveal a pronounced trend toward hyphenated analytical techniques (LC-MS/MS, CE-MS) applied to biopharmaceutical characterization , antibiotic quality assurance , and enzyme inhibitor discovery . Her team increasingly utilizes on-line screening platforms and automated systems for high-throughput analysis of complex matrices including human plasma and natural product extracts, with growing emphasis on sterilization impact studies and residual solvent analysis . As principal investigator, she currently manages 10 active research grants totaling over 4 years of funding: Promotor for 4 projects (2023-2027) including biopharmaceutical CE methods and Abl1 inhibitor screening Co-promotor for 6 projects (2020-2025) covering antibiotic stability, thermal desorption GC, and Ethiopian pharmaceutical quality She supervises doctoral candidates in pharmaceutical technology and analytical method development while teaching core courses in pharmaceutical analysis and bioanalysis. Her research group operates within KU Leuven's Division Center for Drug Delivery and Analysis , maintaining strong international partnerships with Ethiopian institutions for pharmaceutical quality initiatives.

• Environmental economics and policy design
• Circular economy
• Biodiversity and nature
• +2 more

Sandra Rousseau is a Professor at KU Leuven's Faculty of Economics and Business (FEB), with her primary work address at the Brussels Campus (Warmoesberg 26, 1000 Brussel). She also maintains an office at the main Leuven campus (Naamsestraat 69 - box 3565, 3000 Leuven). As head of Subdivision 37 at the Brussels Campus, she serves on multiple committees including the Council of the Faculty of Economics and Business and the Campus Council FEB, Brussels Campus. Her research focuses on environmental economics and policy design, circular economy, biodiversity and nature, impact assessment and non-market valuation, and policy implementation and enforcement. Dr. Rousseau leads the INVABIO project (Individual-based Value Assessment of Biodiversity in Policy Implementation, 2022-2026) and serves as Co-promotor for the Support Center Circular Economy (2022-2026) and for research on Contractual rights and liabilities in circular business models (2019-2023). Dr. Rousseau's extensive publication record demonstrates a clear trend toward interdisciplinary environmental research that bridges economics, policy, and behavioral science. Her recent work examines circular economy implementation across various sectors including textiles, coffee cup systems, and sharing platforms, while also addressing broader climate policy issues like carbon leakage. She applies diverse methodologies including economic modeling, discrete choice experiments, and social cost-benefit analysis to evaluate environmental policies and interventions. Her scientific contributions include significant work on: Valuation methods for environmental goods and services Behavioral aspects of sustainable consumption Economic modeling of circular systems Policy design and implementation for environmental protection Dr. Rousseau teaches several advanced courses including Advanced Environmental Economics, Advanced Environmental and Resource Economics, Environmental Economics, and Sustainable Management. Her leadership as promotor and co-promotor on major research projects demonstrates her standing as a leading researcher in the field of environmental economics at KU Leuven.

Martine BaelmansView profile

Professor

• Plasma Physics
• Nuclear Fusion
• Thermal Engineering
• +6 more

Martine Baelmans is a Full Professor at the Faculty of Engineering Sciences at KU Leuven, where she leads the Applied Mechanics and Energy Conversion (TME) research group. She serves as the subdivision head of the EnergyVille TME - Baelmans Subdivision and is an active member of the EnergyVille Division, KIEM – KU Leuven Institute for Energy and Society, and Leuven.AM – KU Leuven Institute for Additive Manufacturing. Her extensive academic service includes roles on the Faculty Council of Engineering Sciences, Department Council of Mechanical Engineering, and as a vice-rector member of the Education Quality Assurance Committee and KU Leuven LERU Curriculum Vitae Coordination. Professor Baelmans' research spans multiple areas of energy conversion, thermal engineering, and nuclear fusion. Her work focuses on plasma edge simulations for nuclear fusion reactors, thermal-hydraulics of liquid metal systems, optimization of heat transfer devices, and district heating network design. She employs advanced computational methods including finite-volume, Monte Carlo, and topology optimization techniques to address complex engineering challenges in energy systems. Her recent publications demonstrate expertise across a broad spectrum of energy-related research. The articles reveal a strong focus on nuclear fusion plasma edge modeling, thermal management systems, and optimization of energy infrastructure. The work spans from fundamental plasma physics to practical engineering applications in district heating networks and compact heat exchangers, showing both theoretical depth and practical relevance to energy system design. Professor Baelmans has received significant research funding for multiple projects including 'Modeling and optimization of transport phenomena in electrochemical processes' (2024-2028), 'Optimization of balanced compact heat exchangers' (2024-2028), and several projects related to plasma edge simulations for nuclear fusion reactors. Her research group actively contributes to advancing the scientific understanding of plasma physics for fusion energy and developing innovative thermal engineering solutions.