جست‌وجوی استاد و پژوهشگر

Andrew Belmonteمشاهده پروفایل

استاد

• Game Theory
• Mathematical Biology
• Fluid Dynamics
• +۳ مورد دیگر

Andrew Belmonte is a Professor of Mathematics and Materials Science and Engineering at The Pennsylvania State University, and Director of the Center for Mathematical Biology. He is affiliated with the Eberly College of Science and holds a Ph.D. from Princeton University (1994). His research focuses on evolutionary game theory, mathematical biology, fluid dynamics, and turbulence. Belmonte explores applications such as game-theoretic models of fairness, population dynamics, and interdisciplinary studies of interfacial phenomena in fluids. His work bridges mathematics, biology, and engineering, with contributions to understanding collective behavior, strategy evolution, and complex system dynamics. Key areas of research include: Evolutionary games and their applications in cancer and social systems Fluid dynamics of reactive systems and interfacial instabilities Thermodynamic strategy evolution and spatial pattern formation Belmonte's recent publications emphasize game-theoretic frameworks for fairness, public goods dilemmas, and stochastic population models. His work on fluid instabilities and surfactant systems addresses practical challenges in material science and engineering. He collaborates with the Huck Institutes of the Life Sciences and directs the Center for Mathematical Biology, fostering interdisciplinary research. Belmonte has advised numerous students and contributed to grants focusing on reactive flows, colloids, and experimental hydrodynamics. His research integrates theoretical modeling, numerical simulations, and experimental observations, often highlighting the interplay between microscopic processes and macroscopic phenomena.

Chen Liuمشاهده پروفایل

استادیار

• Numerical Analysis
• Computational Mathematics
• Fluid Dynamics
• +۲ مورد دیگر

Chen Liu is an Assistant Professor of Mathematics in the Department of Mathematical Sciences at the University of Arkansas's Fulbright College of Arts and Sciences. He holds a PhD in Computational and Applied Mathematics from Rice University. Research Interests: Dr. Liu's research focuses on developing advanced numerical methods for partial differential equations, particularly discontinuous Galerkin schemes for fluid dynamics applications. His work emphasizes structure-preserving algorithms for hyperbolic conservation laws, Navier-Stokes equations, and multiphase flow problems. Key research areas include bound-preserving limiters, high-order accuracy schemes, and efficient solvers for complex physical systems. Publication Trends: His recent publications demonstrate a consistent focus on improving numerical stability and accuracy for challenging fluid dynamics problems. Common themes include positivity-preserving schemes, multiphysics coupling (particularly Cahn-Hilliard-Navier-Stokes systems), and applications to porous media flow. Recent work shows increased emphasis on optimization-based approaches and implicit-explicit time integration techniques. Awards: No scientific awards mentioned. Academic Activities: No information available regarding students advised, research grants, or laboratory facilities.

Hassan Masoudمشاهده پروفایل

دانشیار

• Interfacial and multiphase flows
• Fluid-structure interaction
• Collective effects
• +۲ مورد دیگر

Dr. Hassan Masoud is an Associate Professor in the Department of Mechanical Engineering at Clemson University , where he joined in July 2024. He leads the Complex Fluids and Active Matter (CFAM) Lab , focusing on fluid dynamics with interactive boundaries across multiple scales. Education: Ph.D., Mechanical Engineering, Georgia Institute of Technology (2012) M.S., Mechanical Engineering, State University of New York at Buffalo (2009) B.S., Aerospace Engineering, Sharif University of Technology (2006) Research Interests: Interfacial and multiphase flows Fluid-structure interaction Collective effects Hydrodynamics of soft and active matter Flow through porous media Publications Trends: His work spans fluid dynamics, robotics, and transport phenomena, with a focus on Marangoni propulsion, droplet dynamics, and collective behavior in active matter. Recent articles explore applications in bioinspired robotics and microfluidics. Scientific Awards: NSF CAREER Award Editorial Role: He currently serves as an Associate Editor of the Journal of Engineering Mathematics .

Huijuan Zhaoمشاهده پروفایل

استاد

• Computational Materials
• Computational Mechanics
• Multi-scale/Multi-physics Modeling
• +۴ مورد دیگر

Dr. Huijuan Zhao is a Professor and Graduate Program Director in the Department of Mechanical Engineering at Clemson University's College of Engineering, Computing and Applied Sciences (CECAS). She holds the Stanzione Professorship and leads the Computational Mechanics and Materials Lab (CMML). Her academic journey includes progression from Assistant Professor (2012-2018) to Associate Professor (2018-2024) and finally to full Professor in 2024. Dr. Zhao's educational background includes: Ph.D. in Mechanical Science & Engineering from the University of Illinois at Urbana-Champaign (2010) M.S. in Solid Mechanics from Tsinghua University (2002) B.S. in Engineering Mechanics from Tsinghua University (2000) Dr. Zhao's research focuses on computational materials science and mechanics, with particular emphasis on multi-scale/multi-physics modeling of nanostructured materials. Her work bridges fundamental understanding of material behavior at the nanoscale with practical engineering applications. She investigates computational nano-mechanics, material design and characterization, surface/interface properties in composites, and material theory development. Her research has significant applications in energy systems, sensor technology, and advanced materials development. Analysis of Dr. Zhao's recent publications reveals a strong trend toward applied computational mechanics, particularly in developing novel sensor technologies for industrial applications and investigating the properties of 2D materials. Her work combines molecular dynamics simulations, first-principles calculations, and experimental validation to address challenges in materials science and engineering. The publications span multiple disciplines including computational mechanics, nanotechnology, thermal engineering, and sensor development, demonstrating her interdisciplinary approach to solving complex engineering problems. Dr. Zhao has received numerous scientific awards and recognitions: Esin Gulari Leadership and Service Award (2024) Stanzione Professorship (2022) Department Award of Excellence-Senior Faculty (2022) CECAS Dean's Faculty Fellow (2016) Eastman Chemical Awards for Excellence (2014) As an educator and mentor, Dr. Zhao has advised numerous doctoral and master's students, many of whom have gone on to successful careers in academia and industry. She serves as Graduate Program Coordinator for the Mechanical Engineering Department and has participated in teams that secured education-related grants from NSF and the Department of Education. Her research has been supported by prestigious grants including Department of Energy funding for clean energy research and sensor development projects. Dr. Zhao leads the Computational Mechanics and Materials Lab (CMML), which focuses on cutting-edge research in computational materials science. The lab has published extensively on topics ranging from nanostructured alloys for fusion energy systems to 2D materials and sensor technology. Under her leadership, the lab has developed strong collaborations with national laboratories including Oak Ridge National Laboratory and Argonne National Laboratory, where she previously worked as a postdoctoral researcher.

Federico Iuricichمشاهده پروفایل

استادیار

• Data Visualization
• Topological Data Analysis
• Discrete Morse Theory
• +۵ مورد دیگر

Federico Iuricich is an Assistant Professor in the School of Computing at Clemson University, directing the DataVis Lab. He earned his Ph.D. in Computer Science from the University of Genova, Italy, and held postdoctoral and research positions at the University of Maryland, Geographical Sciences Department (UMD), and Queens College (CUNY). His research focuses on topological data analysis (TDA), scalar field analysis, and geospatial data visualization, leveraging tools like discrete Morse theory and persistent homology. Education: Ph.D. in Computer Science, University of Genova, Italy Postdoctoral Fellow, Department of Computer Science, University of Maryland, College Park Research Fellow, Geographical Sciences Department, UMD Research Interests: Topological Data Analysis (TDA) Data Visualization and Multivariate Analysis Geospatial Data Processing (e.g., LiDAR, terrain meshes) Discrete Morse Theory and Persistent Homology Parallel Algorithms for Large-Scale Data Publications: Recent work includes advancements in terrain tree segmentation, topology-aware mesh simplification, and web-based TDA tools like TopoEmbedding. His research bridges theory and application, addressing challenges in geospatial, biomedical, and computational domains. Awards: None explicitly listed. Advising & Grants: Leads the DataVis Lab, focusing on student collaboration in TDA and visualization. No specific grants mentioned in provided texts. Labs/Teams: Director of Clemson’s DataVis Lab, specializing in topological and visual analysis of complex datasets.

Dan Stanescuمشاهده پروفایل

دانشیار

• Numerical Analysis
• Stochastic Differential Equations
• Uncertainty Quantification
• +۲ مورد دیگر

Dan Stanescu is an Associate Professor in the Department of Mathematics and Statistics at the University of Wyoming. He holds a Ph.D. in Mechanical Engineering from Concordia University (1999), an M.Eng. from McGill University (1994), and a B.Eng. in Aerospace Engineering from Polytechnical Institute, Bucharest (1986). His research focuses on numerical analysis, computational fluid dynamics, stochastic differential equations, uncertainty quantification, and mathematical biology. His research interests include developing computational methods for stochastic systems, fluid dynamics simulations, and biological applications including biofilm growth modeling. Publications demonstrate long-term focus on developing efficient numerical algorithms (Runge-Kutta methods, discontinuous Galerkin approximations) for complex systems in fluid dynamics and stochastic processes, with recent expansion into biomedical applications.

Jeonghun Leeمشاهده پروفایل

دانشیار

• Numerical Analysis
• Finite Element Methods
• Partial Differential Equations
• +۳ مورد دیگر

Dr. Jeonghun Lee is an Associate Professor of Mathematics at Baylor University's College of Arts & Sciences. His research focuses on numerical methods for partial differential equations—particularly finite element techniques—preconditioners for multiphysics problems, and computational methods for solid/fluid mechanics. He develops robust discretization schemes for complex physical systems like poroelasticity and wave propagation. He holds a Ph.D. from the University of Minnesota and completed postdoctoral research at Aalto University, University of Oslo, and UT Austin's Institute for Computational Engineering and Sciences. His publications advance computational mathematics through error analysis, hybridizable methods, and multiphysics solvers, with applications in geomechanics and materials science.

Peimeng Yinمشاهده پروفایل

استادیار

• Computational Mathematics
• Applied Mathematics
• Numerical Analysis
• +۷ مورد دیگر

Peimeng Yin is an Assistant Professor in the Department of Mathematical Sciences at the University of Texas at El Paso (UTEP). His research focuses on computational mathematics and applied mathematics, emphasizing numerical analysis, partial differential equations, scientific computing, and data science. He designs and implements numerical algorithms for PDEs with applications in physics, astrophysics, engineering, biology, energy, and oncology. Key interests include discontinuous Galerkin methods, structure-preserving numerical techniques, dynamical low-rank approximation, and PDE-based data-driven modeling. His work bridges rigorous mathematical theory with practical computation, addressing challenges like high derivatives, singularities, and multiscale phenomena. Recent research involves adaptive finite element methods, positivity-preserving schemes, and machine learning-enhanced algorithms for parabolic equations. Yin's studies often emphasize energy stability and error estimation in gradient flow systems, with applications ranging from fluid dynamics to biomedical decision support systems. Notable contributions include advancements in biharmonic problem solvers, neutrino kinetic equations, and surgical outcome prediction models. He maintains an active publication record in top-tier computational mathematics journals, with a focus on developing robust numerical frameworks for complex physical systems.

Janet Deweyمشاهده پروفایل

پژوهشگر

• Geochemistry
• Analytical Geochemistry
• Water-Rock Interaction
• +۶ مورد دیگر

Janet Dewey serves as a Senior Research Scientist and Director of the Geochemical Analytical Laboratory in the Department of Geology and Geophysics at the University of Wyoming, where she has taught applied analytical geochemistry courses for over 30 years. Her role bridges advanced instrumentation training and interdisciplinary research across energy, environmental, and planetary science domains. Her academic credentials include: MS in Geology from Auburn University (1993), thesis: Structural, petrological and thermochronological studies of exotic terranes of the Ofoten-Troms region, North Norway BS in Geology from Mississippi State University (1990) Dewey's research centers on watershed processes, water-rock interactions, and geochemical tracing with specialized focus on Rare Earth Elements (REE) and Critical Minerals (CM). She investigates mineral associations in coals, clay-rich siliceous deposits, and hydrothermally-altered granites, while examining water-rock dynamics in hydraulic fracturing and carbon capture scenarios. Her work frequently involves cross-disciplinary collaboration with engineering, botany, anthropology, and soil science researchers to develop geochemical solutions for complex environmental challenges. Analysis of her 15 most recent publications (2015-2022) reveals consistent emphasis on energy-related geochemistry, particularly hydraulic fracturing impacts on reservoir rocks, trace element behavior in coal systems, and Mars-relevant perchlorate chemistry. Her methodological approach combines advanced analytical techniques like ICP-MS with field studies across Wyoming's Powder River Basin and subtropical watersheds, demonstrating strong integration of laboratory experimentation and real-world applications. With three decades of teaching experience, Dewey trains students in ion chromatography, ICP-MS, and quality control procedures through courses including GEOL 2080 (Field Geology) and GEOL 5410 (Geochemical Analytical Methods). Her pedagogical philosophy emphasizes hands-on learning and data ownership, preparing students to develop research methods and interpret analytical results critically. As laboratory director, she maintains instrumentation for water chemistry analysis including ion chromatography, ICP-OES, ICP-MS, thermogravimetric analysis, and surface area measurement systems. The facility supports both research collaborations and student training, serving as a hub for applied geochemical investigations across multiple disciplines.

Garth Jonesمشاهده پروفایل

دانشیار

• Quantum Dynamics
• Electronic Energy Transfer
• Photodissociation
• +۳ مورد دیگر

Dr. Garth Jones is an Associate Professor in Physical & Theoretical Chemistry at the University of East Anglia's School of Chemistry, Pharmacy and Pharmacology. He is a member of the Centre for Photonics and Quantum Science and Chemistry of Light and Energy. His research focuses on excited state dynamics, quantum-classical simulations, and light-molecule interactions, particularly in electron transfer and photodissociation processes. Jones holds a BSc and PhD from the University of New South Wales, Australia, and has held positions at institutions including the University of Essex and University of California, Berkeley. He currently teaches modules in classical mechanics, quantum mechanics, and numerical methods. His work integrates computational methods with experimental techniques like two-dimensional electronic spectroscopy. Education: BSc, University of New South Wales, Sydney, Australia PhD, University of New South Wales (2002), under Michael N. Paddon-Row Research Interests: Mixed quantum-classical approaches for simulating molecular processes, vibrational effects in energy transfer, and theoretical modeling of spectroscopic techniques. His projects include studies on solvent-dependent energy transfer mechanisms and coherence effects in molecular systems. Grants & Collaborations: Recipient of EPSRC funding for Life-Sciences Interface research (2006-2009) and current leadership in projects like 'Anti-Kasha Materials' (EPSRC grant). Collaborates internationally on topics like ultrafast spectroscopy and quantum dynamics. Labs & Teams: Active in the Centre for Photonics and Quantum Science, leading computational chemistry efforts and interdisciplinary projects combining theory with experimental photonics.

Ian Hallidayمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Materials Science
• Nuclear Engineering
• +۳ مورد دیگر

Dr. Ian Halliday is a Reader at the Materials and Engineering Research Institute (MERI) at Sheffield Hallam University. His research focuses on computational modeling of complex fluids, particularly liquid crystalline systems and multi-component fluid dynamics using lattice Boltzmann equation (LBE) methods. Key areas include surface-induced structural changes in liquid crystals, flexoelectric particles, and high-density contrast interfaces in multi-phase systems. Collaborations with industry leaders like Fluent have advanced applications in biomedical and nuclear engineering domains. His work on nematodynamics explores the interplay between flow and orientational order in mesoscopic systems, applied to device design. A notable project, Penny Hydraulics (2010-2012) , addressed nuclear fuel handling systems. Current research extends to deformable object modeling in blood flow simulations and sludge dynamics. Funding includes support from Fluent and renewed grants for LBE algorithm development. No scientific awards are listed. His advisory role lacks documented students, though his research teams likely engage in collaborative projects. The MERI provides a hub for interdisciplinary engineering and materials research, with future directions in bio-medical LBE applications and high-volume fraction fluid systems.

Brian Timkoمشاهده پروفایل

دانشیار

• Nanoelectronics
• Biosensing
• Biomaterials
• +۴ مورد دیگر

Brian Timko is an Associate Professor in the Department of Biomedical Engineering at Tufts University School of Engineering. His work bridges materials science, chemistry, and biology, focusing on nanotechnology and bioelectronic systems for cellular and tissue applications. Education : B.S. in Chemistry and Chemical Engineering (Lehigh University, 2002), A.M. (Harvard, 2004), Ph.D. in Chemistry (Harvard, 2009). Research interests center on nanoelectronics for biosensing , nanocomposites for tissue engineering , and externally-triggered drug delivery systems . His lab develops hybrid tissues integrating solid-state components with biological systems using a bottom-up approach. Recent publications highlight advances in transparent microcoil arrays for neuronal activation, smart nanomaterials for cardiac repair, and photothermal therapies for vascular disorders. His work has been recognized with the NSF CAREER Award and AHA Transformational Project Award . Scientific Awards : NSF CAREER Award (2023), AHA Transformational Project Award (2023), Fellow of the American Heart Association (2023). He teaches courses such as Biomechanics: Solids & Fluids and BME Graduate Project , while leading the Timko Lab in developing bioelectronic systems for neural and cardiac applications.

Lenore Cowenمشاهده پروفایل

استاد

• Computational Molecular Biology
• Data Science
• Graph Algorithms
• +۵ مورد دیگر

Lenore Cowen is a Professor in the Department of Computer Science and Mathematics at Tufts University, with additional affiliation in the Graduate Biomedical Sciences program. She holds a Ph.D. in Mathematics from MIT (1993) and a B.A. from Yale (1987). After postdoctoral work at Johns Hopkins, she joined Tufts in 2001, where her research bridges discrete mathematics, graph algorithms, and computational molecular biology. Education : Ph.D. in Mathematics, MIT (1993); B.A. in Mathematics, Yale (1987) Her research spans computational molecular biology , focusing on protein structure/function prediction, network science for biological systems, and coral bioinformatics. Key projects include developing GLIDE and D-SCRIPT algorithms for protein interaction prediction, leading the Synthetic Coral NSF project, and advancing MEDFORD for metadata markup in ecological studies. Recent publications highlight coral resilience , drug-target interaction prediction , and 3D network visualization . She co-chaired major conferences like RECOMB and SIAM ACDA , and serves as Associate Editor for Bioinformatics and on the editorial board of IEEE/ACM TCBB . Awards include CRA-E and NCWIT mentoring honors, and fellowships from SIAM and ISCB . She mentors graduate students across computational biology and network science , collaborating with interdisciplinary teams like the Tufts BCB group and Wellesley College. Her work is funded by NSF and NIH grants, including contributions to the DREAM Disease Module Identification Challenge and high-dimensional data analysis in genomics.

Timothy Athertonمشاهده پروفایل

استاد

• Condensed Matter Physics
• Soft materials
• Colloids
• +۳ مورد دیگر

Timothy Atherton is a Professor in the Department of Physics & Astronomy at Tufts University, part of the School of Arts and Sciences. He specializes in Condensed Matter Physics, focusing on soft materials, liquid crystals, and computational physics. His work explores how materials like colloids and emulsions self-organize in complex geometries, with applications in soft robotics and material design. He holds a PhD from the University of Exeter (2007) and an MPhys in Theoretical Physics (2003). Research Interests: Atherton’s research integrates high-performance computing, experimental collaborations, and theoretical modeling to study soft matter systems. Key areas include jamming phenomena, shape optimization, and the physics of Pickering emulsions. He develops tools like the Morpho cyberinfrastructure for shape-related problems. Grants & Awards: Recipient of the NSF CAREER Grant (2016–2022) and multiple teaching awards, including the Tufts Recognition of Undergraduate Teaching Excellence (2017) and Multicultural Award (2016). His work bridges computational physics with educational innovation, emphasizing inclusive STEM practices and LGBTQ+ inclusivity in physics. Teaching: Teaches courses in physics, including Physics 12 (General Physics II), and integrates computational methods into curricula. His teaching philosophy emphasizes student-centered learning and practical problem-solving. Collaborates on projects to improve physics education equity and diversity. Labs & Teams: Leads the Soft Matter Theory research group at Tufts, affiliated with the Center for Nanoscopic Physics. Collaborates internationally with institutions like the University of New South Wales on topics like emulsion sculpting and material microstructure analysis.

Paschalis Alexandridisمشاهده پروفایل

استاد

• Self-Assembly
• Directed Assembly
• Complex Fluids
• +۱۱ مورد دیگر

Paschalis Alexandridis is a UB Distinguished Professor at the Department of Chemical and Biological Engineering, University at Buffalo, with an affiliate appointment in Environmental and Water Resources Engineering. He has mentored over 90 graduate and 85 undergraduate students and held leadership roles including Director of Graduate Studies and Associate Dean for Research and Graduate Education. PhD, MIT (1994) MS, MIT (1990) Diploma, National Technical University Greece (1989) His research focuses on self-assembly , directed assembly , and environmentally responsible solvents for applications in PFAS separations , plastics recycling , and biomass processing . Current projects explore molecular interactions in polymer-surfactant systems and sustainable solvent technologies. Recent publications highlight trends in plastic waste conversion , PFAS remediation , and biopolymer behavior , emphasizing solution thermodynamics , interface science , and nanomaterial structuring . Fellow, AAAS Fellow, AIChE ACS Schoellkopf Medal SUNY Chancellor's Awards (Scholarship & Teaching) UB Graduate Mentoring Award Alexandridis has served as AIChE Area 1C chair and currently holds editorial roles at Journal of Dispersion Science and Technology and Frontiers in Chemistry . His work bridges fundamental and applied research in green chemistry and sustainable materials .