جست‌وجوی استاد و پژوهشگر

• Mathematical Biology
• Computational Fluid Dynamics
• Scientific Computing
• +۵ مورد دیگر

Sarah D. Olson is the William Steur Professor and Department Head of the Worcester Polytechnic Institute (WPI) Department of Mathematical Sciences, with joint appointments in Bioinformatics & Computational Biology and Biomedical Engineering. She holds a BA from Providence College (2003), an MS from the University of Rhode Island (2005), and a PhD from North Carolina State University (2008). BA, Providence College (2003) MS, University of Rhode Island (2005) PhD, North Carolina State University (2008) Dr. Olson’s research focuses on mathematical biology , particularly computational biofluids and scientific computing . Her work explores micro-swimmer models , centrosome movement in mitosis , and agent-based models in heterogeneous environments . She develops methodologies for Bayesian parameter estimation and hydrodynamic interaction analysis , with applications to sperm motility , cell division , and biomedical micro-swimmers . Her recent 15 articles (2011–2023) span topics including centrosome clustering , Brinkman fluid dynamics , flagellar waveforms , and viscoelastic micro-swimmers . These studies employ regularized Stokeslets , Bayesian uncertainty quantification , and agent-based simulations to advance understanding of biological fluid-structure interactions and parameter estimation in biological systems . Dr. Olson collaborates with institutions such as Brown University’s Center for Computation and Visualization , supported by NSF grants (DMS-1455270, DMS-1521266, DMS-1552903). Her work bridges applied mathematics , biophysics , and computational biology .

Toktam Mahmoodiمشاهده پروفایل

استاد

• Communications Engineering
• Networking
• Edge Computing
• +۵ مورد دیگر

Prof. Toktam Mahmoodi is a Professor of Communications Engineering at King's College London, affiliated with the Department of Engineering under the Faculty of Natural, Mathematical & Engineering Sciences. She leads the Centre for Telecommunications Research, focusing on advanced networking, edge computing, and 5G/6G technologies. Her academic journey includes a BSc from Sharif University of Technology and a PhD from King's College London. Education: BSc in Electrical Engineering, Sharif University of Technology PhD in Telecommunications, King's College London Research Interests: Her work spans ultra-low latency networking, network virtualization, edge intelligence, and sustainable communication systems. She explores integration of cloud and mobile networks, autonomous networks, and energy-efficient solutions. Key areas include federated learning, tactile internet, and telemedicine applications. Grants & Projects: Principal Investigator for the Native Sensing in 6G Networks - Capgemini project (2023-2027). Co-Investigator in the VERGE project for AI-driven edge architectures (2023-2025). Lead in the ANIARA initiative for connected car communications (2020-2022). Pioneered projects like SoftEdge Networking and Primo-5G for immersive telepresence. Labs & Teams: Director of the Centre for Telecommunications Research, a global leader in telecommunications and cybersecurity research.

• Computational Biology
• Algorithm Development
• High-Throughput Data Analysis
• +۵ مورد دیگر

Oliver D. King is an Assistant Professor in the Department of Neurology at the University of Massachusetts Chan Medical School, where he leads research in computational biology focused on facioscapulohumeral muscular dystrophy (FSHD). He also holds appointments in the NeuroNexus Institute and the Morningside Graduate School of Biomedical Sciences Department of Neuroscience, contributing to the institution's Wellstone Program dedicated to muscular dystrophy research. Dr. King received his BA in Mathematics from the University of Hawaii at Manoa, followed by an MS in Computer Sciences and a PhD in Mathematics, both from the University of California, Berkeley. His academic journey included postdoctoral training at Harvard Medical School and the Whitehead Institute before joining the Boston Biomedical Research Institute as a Scientist. He transitioned to academia at UMass Chan Medical School in 2013, first in Cell and Developmental Biology before moving to Neurology in 2016. As a computational biologist, Dr. King specializes in algorithm development and high-throughput data analysis with a primary focus on FSHD. His research investigates transcriptional and epigenetic changes associated with the disease, genetic modifiers of severity, and therapeutic approaches targeting the DUX4 gene. He has developed several computational tools including PLAAC for identifying proteins with prion-like domains, D4Z4caster for FSHD analysis, and RFF for behavioral analysis in animal models. Analysis of Dr. King's publication record reveals a strong interdisciplinary approach that bridges mathematics, computer science, and biomedical research. His work spans computational biology, molecular genetics, and neuroscience, with significant contributions to understanding prion-like domains in neurodegenerative diseases and developing gene therapy approaches for muscular dystrophies. His recent publications demonstrate increasing focus on translational applications of computational findings to therapeutic development. Dr. King leads a multidisciplinary research team within the Wellstone Program at UMass Chan Medical School. His laboratory combines computational approaches with experimental validation, bringing together expertise in bioinformatics, molecular biology, and clinical research to advance understanding of FSHD pathogenesis and develop targeted interventions for this complex neuromuscular disorder.

Joel Koplikمشاهده پروفایل

استاد

• Fluid Dynamics
• Colloid Science
• Molecular Dynamics Simulation
• +۳ مورد دیگر

Joel Koplik is a Professor of Physics at the City College of New York (CCNY), affiliated with the Levich Institute. His research focuses on fluid dynamics, colloid science, and molecular dynamics simulations, particularly investigating interfacial phenomena, nanoparticle behavior, and thermocapillary migration. Recent work explores active colloids, Janus motors, and self-propulsion mechanisms at fluid interfaces. Key research areas include the dynamics of droplets under electric fields, surfactant effects on interfacial deformation, and the hydrodynamic interactions of colloids in confined geometries. His studies often bridge nanoscale and macroscopic fluid behaviors, with applications in materials science and nanotechnology. Publications highlight advancements in understanding capillary bridges, thermocapillary migration in particle-laden systems, and the design of self-propelled nanomotors. Collaborative projects, such as the 2007 proposal on nanoparticle separation using patterned surfaces, underscore his interest in experimental and computational fluid dynamics. Awards and grants are not explicitly listed, but his extensive publication record reflects sustained contributions to interdisciplinary fluid mechanics and soft matter physics.

Norman A Fleckمشاهده پروفایل

استاد

• Mechanics of Materials
• Micromechanics of Deformation and Fracture
• Fatigue, Fracture and Creep of Engineering Solids
• +۵ مورد دیگر

Professor Norman A Fleck is Professor of Mechanics and Materials and founding Director of the Cambridge Centre for Micromechanics at the University of Cambridge Department of Engineering . A world-leading authority in the mechanics of materials, he has held visiting appointments at Harvard and NASA Langley and has been continuously on the Cambridge faculty since 1985. Education 1976–1979 Jesus College, Cambridge — BA Engineering (First Class with Distinction; Baker Prize, IMechE Project Prize, Keller Prize) 1980–1983 Pembroke College, Cambridge — PhD Engineering (Research Fellowship 1981–1984) Research Interests Professor Fleck’s research centres on the micro-mechanics of material behaviour , linking microstructural evolution to macroscopic performance. Key themes include: fatigue, fracture and creep of engineering solids; strain-gradient plasticity and size effects; cellular and lattice materials, metallic foams and sandwich structures; ferroelectric switching and multi-functional materials. Scientific Awards & Distinctions Fellow of the Royal Society (FRS, 2004) Fellow of the Royal Academy of Engineering (FREng, 2008) Foreign Member, US National Academy of Engineering (2014) Humboldt Research Award (2011) ASME Koiter Medal (2013) EUROMECH Solid Mechanics Prize (2015) AA Griffith Medal (2014) Member of Academia Europaea, European Academy of Sciences ISI Highly Cited Researcher in Engineering (2001) Leadership & Service He founded and directs the Cambridge Centre for Micromechanics , chairs the Rolls-Royce Scientific Advisory Board for Materials, Manufacturing & Structures, and has served on the Royal Society’s Awards, Research Grants and Industry Fellowship panels. He has organised numerous international conferences and sits on the editorial boards of Journal of the Mechanics and Physics of Solids , International Journal of Solids and Structures , and several other leading journals.

Geena Kimمشاهده پروفایل

استاد مدعو

• Deep Learning
• Computer Vision
• Medical Image Analysis
• +۴ مورد دیگر

Dr. Geena Kim is an Adjunct Professor in the Department of Computer Science at the University of Colorado and a Research Scientist at Amazon. She holds a PhD from UC Berkeley and has extensive experience as an entrepreneur and technical advisor in IoT startups in the Bay Area. Prior to CU, she taught in the MS Data Science program at Regis University. Her research focuses on deep learning, computer vision, and medical image analysis , with notable contributions to brain tumor segmentation using neural networks, predictive analytics in cardiology, and standards for quantitative MRI. Her earlier work explored atom interferometry and gravitational physics , including experiments with lithium atoms to test fundamental principles like the equivalence principle. Dr. Kim's publications span medical AI applications, precision imaging techniques, and quantum sensor development. Her work bridges computational methods with healthcare applications, emphasizing clinical translation of machine learning models. She has no listed advisory roles or grants mentioned in the provided materials.

• Biophysics
• Nanoparticle Dynamics
• Optical Trapping
• +۳ مورد دیگر

Yazgan Tuna is a Researcher at the Yale School of Medicine, focusing on interdisciplinary research at the intersection of biophysics, nanotechnology, and optical engineering. His work explores nanoparticle dynamics, microtubule mechanics, and polymer physics using advanced microscopy and force spectroscopy techniques. Expertise: Optical trapping, single-molecule biophysics, and nanoscale systems Key Projects: Electrostatic force clamping of nanoparticles, lipid bilayer-mediated delivery, and microtubule-associated protein imaging Collaborations: Works with prominent scientists like Joe Howard and Vahid Sandoghdar His research advances understanding of biological processes through innovative experimental methods, including simultaneous interference reflection and fluorescence microscopy for dynamic cellular structures.

• Molecular Computer Simulations
• Force Field Development
• Coarse-Grained Modeling
• +۷ مورد دیگر

Alexander Lyubartsev is a Professor at the Department of Chemistry in Stockholm University, specializing in Molecular Computer Simulations . His research bridges fundamental physical chemistry with applied computational modeling, focusing on biomembranes, DNA-chromatin structures, inorganic surfaces, and multiscale method development. He teaches courses like Physical Chemistry (15 hp) and Chemical Modeling (7.5 hp) , mentoring students in computational approaches for molecular systems. Education: PhD in Molecular Biophysics (1988), St. Petersburg State University Academic Positions: 1988-1992: Researcher, St. Petersburg State University 1993-2001: Research Associate, Stockholm University 2001-2007: Associate Professor, Stockholm University 2007-present: Professor, Stockholm University His research interests center on developing computational methods for molecular systems. Key areas include: Force Field Development : Slipids for lipids, inorganic surfaces (TiO2, ZnO), zeolite interactions Coarse-Grained Modeling : DNA, nucleosome core particles, and multiscale approaches using inverse Monte Carlo Advanced Sampling : Expanded ensemble techniques, metadynamics for free energy calculations Software Development : MDynamix for molecular dynamics, MagiC for coarse-graining The articles reflect his focus on: Modeling G-quadruplex elasticity under variable ionic conditions (2017) Extending Slipids force field to polyunsaturated lipids (2016) Analyzing polyelectrolyte conformational transitions with Monte Carlo methods (2017) Investigating ion-DNA binding specificity through molecular dynamics (2016) Developing transferable potentials for gas adsorption in zeolites (2016) Studying TiO2 nanoparticle wetting mechanisms via ab initio simulations (2016) His methodological contributions include inverse Monte Carlo coarse-graining, systematic force field optimization, and multiscale approaches for chromatin components. The research directly impacts drug design, nanotoxicity modeling, and materials science applications.

Frederik Herzbergمشاهده پروفایل

مدرس

• Mathematical Finance
• Probability Theory
• Nonstandard Analysis
• +۶ مورد دیگر

Prof. Dr. Frederik Herzberg is a Lecturer in the Department of Mathematics at Saarland University since 2022, holding the formal academic title of Titular Professor (apl. Prof.) from Bielefeld University (2016). His academic journey spans multiple disciplines, with habilitations in both Philosophy (University of Munich, 2017) and Economic Theory (Bielefeld University, 2011), reflecting his interdisciplinary expertise. Herzberg's educational background includes dual doctorates: a DPhil in Mathematics from the University of Oxford (2006) specializing in Mathematical Finance, and a Dr.rer.nat. in Mathematics from the University of Bonn (2005) focusing on Probability Theory. He also holds a Diplom in Mathematics from Bonn (2003) and a Master of Theology from the University of Aberdeen (2018), demonstrating remarkable breadth across quantitative and humanities disciplines. His research interests bridge mathematical finance, nonstandard analysis, social choice theory, and epistemology. Herzberg has developed innovative applications of nonstandard analysis to financial mathematics and has made significant contributions to the theoretical foundations of probabilistic aggregation and social choice. His work often explores the intersection of mathematical rigor and philosophical implications, particularly regarding infinitesimals, decision theory, and collective rationality. Analysis of his recent publications reveals a consistent focus on the mathematical foundations of decision-making under uncertainty, with particular attention to aggregation problems, non-Archimedean probability structures, and the philosophical implications of mathematical models. His work spans both theoretical developments in stochastic calculus and practical applications in financial economics. Shortlisted for permanent professorships at the University of Würzburg (Institute of Mathematics, 2009) and other universities Research fellowships from prestigious organizations including the John Templeton Foundation, Alexander von Humboldt Foundation, and German Research Foundation Extensive service as reviewer for major funding bodies including the European Research Council and Austrian Academy of Sciences Herzberg has supervised doctoral students including Geghard Bedrosian (2012-2015) and Tolulope Fadina (2011-2015), and maintains active research collaborations across Europe and North America. His academic service includes editorial work, conference organization, and membership on Bielefeld University's Ethics Committee (2014-2022).

Andrew H. Marcusمشاهده پروفایل

استاد

• Biophysical Chemistry
• Molecular Spectroscopy
• Single-Molecule Fluorescence
• +۳ مورد دیگر

Andrew H. Marcus is a Professor in the Department of Chemistry and Biochemistry at the University of Oregon, affiliated with the College of Arts and Sciences. His research focuses on biophysical chemistry, molecular spectroscopy, and quantum optics, particularly through collaborations with Peter von Hippel on DNA replication complexes. Ph.D., Stanford University (1994, Advisor: Michael D. Fayer) Postdoctoral: University of Chicago (1994-96, Advisor: Stuart A. Rice) Research interests include: DNA conformational dynamics and breathing mechanisms Single-molecule fluorescence and spectroscopy Quantum light applications in molecular spectroscopy Protein-DNA interaction thermodynamics Exciton-coupled probe development Ultrafast photophysics of nucleic acids Recent work analyzes DNA replication fork junctions, quantum-enhanced spectroscopy, and exciton-coupled dimer photophysics. Awards include NSF CAREER , APS Fellowship , and multiple JCP Editor's Picks . Publications span Nucleic Acids Research , Journal of Physical Chemistry , and Proceedings of SPIE . Collaborations with interdisciplinary teams and leadership in quantum optics research are highlighted. The Marcus Group website provides further details on their experimental and computational approaches.

Soroush Rafiee Radمشاهده پروفایل

پژوهشگر ارشد

• Probability Theory
• Logic
• Philosophy of Mathematics
• +۵ مورد دیگر

Dr. Soroush Rafiee Rad is a Research Fellow in the Department of Philosophy at the University of St Andrews, working within the School of Philosophical & Anthropological Studies. His research focuses on the intersection of logic, probability theory, and philosophy, with particular emphasis on foundational aspects of quantum mechanics, Bayesian inductive logic, and social choice theory. Dr. Rafiee Rad's research interests span multiple areas including: Probability Theory and its philosophical foundations Quantum Logic and mathematical structures in quantum mechanics Bayesian Inductive Logic and objective probability Order Theory and lattice structures Entailment relations and reasoning with inconsistencies Deliberative democracy and social choice theory His recent publications demonstrate a strong interdisciplinary approach, bridging philosophy, mathematics, and social sciences. The research trends indicate a consistent focus on formal methods to address philosophical questions, particularly in the areas of uncertainty representation, logical foundations of quantum mechanics, and collective decision-making processes. His work often involves collaborations with researchers from diverse fields, reflecting the interdisciplinary nature of his research agenda. Dr. Rafiee Rad is affiliated with the Logic & Metaphysics research group at the University of St Andrews.

Albert A. Smith-Penzelمشاهده پروفایل

پژوهشگر

• Biomolecular Dynamics
• NMR Spectroscopy
• Molecular Dynamics Simulation
• +۳ مورد دیگر

Dr. Albert A. Smith-Penzel is a Principal Investigator at the Institute for Medical Physics and Biophysics , University of Leipzig Medical Faculty . He leads a DFG-funded project titled "Disentangling dynamics in biomolecules with experiment and simulation" since 2021, following his 2019-2020 Research Associate position at the same institution. B.Sc. in Physics, University of Mount Union (2007) Ph.D. in Chemistry, Massachusetts Institute of Technology (2012) Postdoctoral Researcher at ETH-Zürich (2012-2018) His research focuses on biomolecular dynamics characterization through advanced NMR relaxation techniques combined with molecular dynamics simulations. He pioneered detector analysis methods for correlating experimental and computational dynamics data, addressing challenges in motion amplitude quantification across multiple timescales. Recent publications highlight his work on: Dynamic landscapes of bio-membranes Energy landscapes of GPCRs Model-free analysis of protein fibrils Software development for NMR analysis (INFOS, DIFRATE) He actively develops open-source tools for dynamics analysis and contributes to understanding how distributed motions influence macromolecular function.

Aimé LACHALمشاهده پروفایل

مدرس

• Probability Theory
• Stochastic Processes
• Applied Mathematics
• +۴ مورد دیگر

Aimé LACHAL is a Lecturer in Mathematics at the National Institute of Applied Sciences (INSA) Lyon, affiliated with the Camille Jordan Institute. His career spans over three decades, with prior roles at the University of Lyon and the School of Military Applications of Atomic Energy in Cherbourg (EAMEA). 1984: DEUG A in Structural and Material Sciences 1985: B.Sc. in Mathematics (summa cum laude) 1986: M.Sc. in Mathematics (summa cum laude) 1987: Mathematics Aggregation (14th rank) 1988: M.Sc. Research in Mathematics (DEA) 1992: Ph.D. in Probability (highest honors) 1995: Habilitation to Supervise Research in Mathematics His research focuses on Probability Theory and Stochastic Processes , particularly integrated Brownian motion, pseudo-processes governed by higher-order PDEs, and their applications to statistical testing, DNA replication, and quantum entropy. Key contributions include explicit distributions for sojourn times, first passage problems for non-Markov processes, and interdisciplinary work in Mathematical Biology and Random Walks . Publications cover advanced topics in Annals of Probability , Stochastic Processes and their Applications , and other high-impact journals.

Marc A Hesseمشاهده پروفایل

استاد

• Computational Geosciences
• Porous Media Dynamics
• Geophysical Fluid Mechanics
• +۳ مورد دیگر

Marc A Hesse is a Professor in the Department of Earth and Planetary Sciences at the Jackson School of Geosciences, University of Texas at Austin. He holds the Dave P. Carlton Centennial Professorship in Geology (Fellow). His research focuses on computational geosciences, multiphase geosystems, and flow/transport in porous media across planetary and environmental contexts. Education: BSc in Geology, University of Edinburgh MS in Oceanography, MIT-WHOI Joint Program MPhil in Fluid Flow, Cambridge University PhD in Petroleum Engineering, Stanford University Research Interests: Porous media dynamics in planetary processes (e.g., Mars, icy ocean worlds) Geophysical fluid mechanics and multiphase flow modeling Applications in energy geosciences (e.g., CO2 sequestration, geothermal systems) His work bridges solid-Earth and environmental sciences, emphasizing computational modeling and interdisciplinary collaboration. Notable Collaborations: Center for Frontiers in Subsurface Energy Security (DOE-funded) Institute for Computational Engineering and Sciences (ICES) International partnerships with Cambridge University and SINTEF Awards: Dave P. Carlton Centennial Professorship in Geology Labs & Teams: Geological Fluid Mechanics Group Center for Subsurface Modeling

Truell Hydeمشاهده پروفایل

استاد

• Complex Plasma Physics
• Astrophysics
• Space Physics
• +۴ مورد دیگر

Dr. Truell Hyde is a Professor of Physics and Director of CASPER (Center for Astrophysics, Space Physics and Engineering Research) at Baylor University. He holds a Ph.D. in Physics from Baylor University (1988) and has over four decades of academic and research leadership experience. His roles include Vice Provost for Research (2001–2018) and Director of the Baylor Research and Innovation Collaborative (2009–2018). Education: Ph.D. - Physics, Baylor University, 1988 M.S. - Physics, Baylor University, 1980 B.S. - Physics and Mathematics, Southern Nazarene University, 1978 His research focuses on experimental and theoretical studies of complex plasmas, space physics, and astrophysical phenomena. Key areas include dusty plasma dynamics, lunar dust mitigation, hypervelocity impact studies, and protoplanetary disk evolution. He has led numerous grants totaling over $20M, including NASA-funded projects on lunar surface electrostatics and dusty plasma simulations. His awards include the NASA Group Achievement Award (2022) for lunar dust research. He advises over 30 graduate students and collaborates internationally on facilities like the ISS-based PK-4 experiment. Current teaching includes Space Plasma Physics and Astrophysics graduate courses. Labs/Teams: CASPER Hypervelocity Impacts & Dusty Plasma Lab (HIDPL) Baylor Research & Innovation Collaborative (BRIC) International Space Station (ISS) PK-4 Collaboration