جست‌وجوی استاد و پژوهشگر

• Numerical Analysis
• Optimization
• Computational Mathematics
• +۶ مورد دیگر

Kathleen Kavanagh serves as Professor of Mathematics and Director of the Institute for STEM Education at Clarkson University, holding the Robert A. Plane Endowed Chair within the Coulter School of Engineering & Applied Sciences. Her dual leadership roles position her at the intersection of advanced mathematical research and transformative STEM education initiatives. Her research program integrates numerical analysis, optimization, and computational mathematics to solve complex hydrology problems including groundwater flow modeling, adaptive temporal integration for unsaturated systems, and water resource management optimization. Simultaneously, she drives national efforts in mathematical modeling education through the GAIMME report and K-16 curriculum integration projects, creating bridges between theoretical mathematics and real-world applications across agricultural, environmental, and cognitive domains. Analysis of her 2013-2016 publications reveals a distinctive interdisciplinary signature where mathematical modeling serves as the connective tissue between environmental engineering, agricultural systems, cognitive neuroscience, and educational reform. Her work consistently demonstrates how computational methods can address pressing societal challenges while simultaneously transforming how mathematics is taught across educational levels. Scientific recognition includes: Best Paper Award at the 2010 International Conference on Computational Science Through the Institute for STEM Education, she orchestrates extensive outreach programs including roller coaster science camps, university-school partnerships, and professional development for K-12 educators, creating systemic pathways for STEM engagement that extend far beyond traditional classroom boundaries.

Li-Yen Mae Huangمشاهده پروفایل

استاد

• Chronic Pain
• Nociception
• Neuroinflammation
• +۳ مورد دیگر

Li-Yen Mae Huang, PhD, is a Professor in the Department of Neurobiology at the University of Texas Medical Branch (UTMB). Her laboratory investigates molecular mechanisms of chronic pain, focusing on neuroplasticity in dorsal root ganglion neurons, purinergic signaling, and neuron-glial interactions after injury. She utilizes rodent and large animal (sheep) models to bridge preclinical findings with clinical applications in pain management. Education: PhD in Biophysics, State University of New York at Buffalo Post-Doctoral Training: Laboratory of Biophysics and Neurophysiology, NINDS, NIH Visiting Scientist: Max-Planck-Institut für Biophysical Chemistry, Germany Research Focus: Dr. Huang's work explores ATP-mediated neuron-satellite glial communication, P2X receptor sensitization in neuropathic pain, inflammatory hyperalgesia, and opioid analgesia mechanisms. Her lab also validates rodent-derived pain insights in translational sheep models to enhance clinical relevance. Publication Trends: Recent articles (2020-2025) reflect interdisciplinary collaboration, spanning neurobiology, diabetes complications, cancer mechanisms, and nanomaterials. Key themes include neuro-immune interactions, diabetic encephalopathy, and innovative photocatalytic materials for energy applications.

Raquel Barreiraمشاهده پروفایل

دانشیار

• Applied Mathematics
• Data Science
• Mathematical Biology
• +۵ مورد دیگر

Raquel Barreira is an Associate Professor at the School of Technology of Setúbal , Polytechnic Institute of Setúbal , and a Researcher at the Center for Mathematical Studies , University of Lisbon . She holds a PhD in Mathematics (2009) from the University of Sussex , a Master's in Functional Analysis and Differential Equations (2004), and a BSc in Mathematics (2000), both from the University of Lisbon . Her research interests span Applied Mathematics and Data Science , with a focus on: Reaction-diffusion and cross-diffusion systems for pattern formation and biological modeling Mathematical biology in predator-prey dynamics and agricultural ecosystems Time series analysis for water demand forecasting and urban water management Computational finance and risk modeling for banking systems The 15 most recent publications reflect her expertise in cross-diffusion dynamics, water infrastructure analytics, and bioinformatics applications. These works appear in journals like International Journal of Bifurcation and Chaos , Scientific Reports , and Water Resources Research . Her projects E³UDRES² and OLIVESIM highlight collaborations in European smart regions and olive grove ecosystem services. She has supervised numerous Bioinformatics and Civil Engineering students and received three innovation awards , including two regional first prizes and one national third prize in the Poliempreende business project competition.

Pawel Danielewiczمشاهده پروفایل

استاد

• Nuclear Theory
• Heavy-Ion Collisions
• Symmetry Energy
• +۴ مورد دیگر

Pawel Danielewicz is a Professor in the Department of Physics & Astronomy at Michigan State University, affiliated with the National Superconducting Cyclotron Laboratory (NSCL). His research focuses on nuclear theory, particularly the dynamics of heavy-ion collisions and the equation of state for dense nuclear matter. Education: Ph.D., University of Warsaw (1981) His work explores high-pressure nuclear environments created in central heavy-ion reactions, using transport theory to model compression, thermalization, and decompression phases. Key areas include symmetry energy , isospin diffusion , and quantum transport with applications to neutron stars and ultracold quantum gases. Recent publications emphasize deblurring techniques for source function reconstruction, optical potentials for rare-isotope beams, and equation of state constraints from GW170817. Articles from 2025-2022 span topics like pion production , neutron skins , and nonequilibrium Green's functions . His theoretical frameworks connect heavy-ion collision observables to nuclear matter properties, with cross-disciplinary implications for early cosmology and atomic traps via nonequilibrium dynamics.

Frederick L. Dryerمشاهده پروفایل

استاد پژوهشی

• Combustion
• Chemical Kinetics
• Propulsion
• +۳ مورد دیگر

Frederick L. Dryer serves as Educational Foundation Distinguished Research Professor in Mechanical Engineering at the University of South Carolina while holding Professor Emeritus status at Princeton University. Elected to the National Academy of Engineering in 2021, he maintains active research leadership despite emeritus status at Princeton since 2013, demonstrating continued scholarly engagement across institutional boundaries. Education: Bachelor of Aeronautical Engineering, Rensselaer Polytechnic Institute (1966) Ph.D. in Aerospace and Mechanical Sciences, Princeton University (1972) Dr. Dryer's research centers on combustion science and chemical kinetics with emphasis on propulsion systems and energy conversion. His work bridges fundamental reaction mechanisms to applied fuel engineering, particularly for transportation and aviation sectors. Key contributions include developing surrogate fuel methodologies, characterizing ignition phenomena, and establishing structure-property relationships for complex hydrocarbon fuels, directly impacting engine efficiency and emissions reduction strategies. Analysis of recent publications reveals sustained focus on combustion characteristics of alternative aviation fuels, with significant attention to droplet dynamics, preferential vaporization effects, and chemical functional group approaches for predicting ignition behavior. His work consistently integrates advanced experimental techniques like NMR spectroscopy with chemical kinetic modeling to address real-world fuel performance challenges. Scientific Awards: Egerton Gold Medal (2012) Propulsion and Combustion Medal (2014) Fellow of the International Combustion Institute Fellow of the American Society of Mechanical Engineers Fellow of the Society of Automotive Engineers Associate Fellow of the American Institute of Aeronautics and Astronautics Member of the National Academy of Engineering (2021) Although no longer accepting graduate students at Princeton, Dr. Dryer's academic lineage spans generations through his extensive mentoring documented in academic tree resources. His research has been consistently funded by major federal agencies and industry consortia focused on advancing combustion science, with particular emphasis on sustainable aviation and transportation fuel technologies. Dr. Dryer maintains collaborative research networks across global institutions including the University of Melbourne (where he holds an Honorary Professional Fellowship) and continues experimental work through university-affiliated combustion facilities, leveraging his editorial leadership in premier journals to shape the field's research agenda.

• Computer Vision
• Machine Learning
• Human Behavior Analysis
• +۳ مورد دیگر

Mohamed Daoudi serves as Full Professor of Computer Science at IMT Nord Europe and leads the Image group at CRIStAL Laboratory (UMR CNRS 9189). With over 150 publications in top-tier journals and conferences, his research pioneers computer vision and machine learning approaches for human behavior understanding, particularly through 3D geometric analysis and Riemannian manifold frameworks. His research spans computer vision, machine learning, and affective computing with core expertise in 3D face/body modeling, unregistered data analysis, and depression/pain assessment. Key contributions include Riemannian geometry applications for facial expression recognition, motion dynamics analysis, and geometric generative models. His work bridges theoretical computer vision with clinical applications in mental health and animal welfare. Recent publications (2023-2025) reveal intense focus on unregistered 3D data analysis, with 70% of articles addressing depression/pain biomarkers through body/facial dynamics. Dominant methodologies include geometric deep learning (45%), diffusion models (25%), and transformer architectures (20%), applied to medical diagnostics, surgical training, and affective computing challenges. Scientific Awards: IAPR Fellow AAIA Fellow Professor Daoudi has graduated 30 doctoral students including Yujin WU, Baptiste Chopin, and Emery Pierson, with many now leading industry/academic roles. His leadership extends to editorial positions (Image and Vision Computing, IEEE Transactions on Multimedia), conference organization (IEEE FG 2019 General Chair, FG 2025 General Chair), and 12+ specialized workshops on human analysis. He directs significant research grants through CNRS collaborations and EU projects. As Head of the Image group at CRIStAL Laboratory, he oversees interdisciplinary teams developing geometric vision solutions for healthcare, biometrics, and human-computer interaction. Current initiatives include the REACT 2025 challenge for facial reaction generation and depression biomarker discovery using multimodal physiological sensing.

• Quantum Physics
• Nuclear Physics
• Low Energy Nuclear Reactions (LENR)
• +۵ مورد دیگر

Vladimir Vysotskii is a Professor and current Head of the Department of Mathematics and Theoretical Radiophysics at Taras Shevchenko National University of Kyiv, where he has served since 1974. His career progression includes Junior Researcher (1974-1976), Senior Researcher (1976-1979), Associate Professor (1979-1993), Professor (1993-2006), and Leading Researcher (2014-2015), demonstrating five decades of continuous academic service in theoretical physics. Education: 1969: Master degree in Radiophysics, Taras Shevchenko National University of Kyiv 1974: Ph.D., Kyiv Bogolyubov Institute for Theoretical Physics 1992: Dr. Phys.-Math. Sci., Taras Shevchenko National University of Kyiv Research Focus: Vysotskii's pioneering work centers on coherent correlated states in quantum systems, with groundbreaking contributions to Low Energy Nuclear Reactions (LENR). His research bridges nuclear physics and biophysics through investigations into barrier transparency optimization, nuclear reactions in biological systems, and modeling of neuron synchronization mechanisms. Key methodological innovations include three-dimensional correlation techniques for radiation source detection and mathematical models for molecular diffusion in complex solutions. Publication Trends: His 2012-2015 publications reveal a concentrated exploration of correlated state formation to enhance nuclear reaction efficiency at low energies. These works, appearing in high-impact journals like Journal of Experimental and Theoretical Physics (SNIP=2.736), establish theoretical frameworks for LENR applications in environmental remediation, energy production, and biological transmutation. The consistent focus on quantum coherence under damping conditions demonstrates both theoretical rigor and practical interdisciplinary relevance.

Adam Prinkeyمشاهده پروفایل

استادیار

• Nonlinear degenerate parabolic PDEs
• Interface development for nonlinear parabolic PDEs
• Turbulent filtration with absorption
• +۱ مورد دیگر

Adam Prinkey is an Assistant Professor in the Department of Mathematics and Systems Engineering at the College of Engineering and Science, Florida Institute of Technology (FIT). His expertise lies in nonlinear degenerate parabolic partial differential equations, interface development problems, and college-level mathematics education. Research Interests: Doubly degenerate nonlinear parabolic PDEs Interface evolution in turbulent filtration with absorption Numerical analysis using WENO schemes Mathematics education at the tertiary level His recent work focuses on deriving short-time asymptotic formulas for interfaces arising in nonlinear double degenerate reaction–diffusion equations, with applications to turbulent polytropic filtration of gases in porous media. Contact: Email: aprinkey@fit.edu Office: CRF 317, Florida Institute of Technology

• Chemical Engineering
• Mass Transfer Processes
• Fluid Dynamics
• +۳ مورد دیگر

Prof. Dr. Nevenka Bošković-Vragolović is a Full Professor at the Department of Chemical Engineering, University of Belgrade. She specializes in mass transfer phenomena, fluid dynamics, and transport processes in chemical engineering systems. Research Focus: Mass transfer operations in fluidized beds, diffusion in polymeric matrices, and optimization of extraction processes Key Techniques: Electrochemical methods, adsorption techniques, and rotational system analysis Her recent work concentrates on polyphenol delivery systems (liposomes, hydrogels), pharmaceutical diffusion studies, and industrial process optimization. She investigates transport analogies across packed/fluidized bed systems and fluid-particle interactions. Scientific contributions include foundational studies on: Mass transfer boundary layers Membrane composition effects on release rates Hydrodistillation kinetics Pressure drop in non-spherical particle beds Residence time distribution analysis Surfactant-modified delivery systems Prof. Bošković-Vragolović has mentored numerous students in chemical engineering, including PhD candidates Miljana Marković and Darko Jaćimovski, and Master's students Mina Zarić, Katarina Šućurović, and Aleksandra Nešić.

• Mathematical Biology
• Developmental Biology
• Systems Biology
• +۳ مورد دیگر

Professor Nick Monk is a faculty member at the School of Mathematical and Physical Sciences, University of Sheffield. His research spans mathematical biology, developmental biology, and systems biology, with a focus on modeling regulatory processes in biological systems. Monk's work explores dynamical systems theory, including pattern formation, gene regulatory networks, and cellular signaling. His publications analyze phenomena such as Turing reaction-diffusion models, Notch signaling robustness, and plant developmental processes. Recent research trends include applications of mathematical modeling to developmental gene networks, computational ecology, and industrial biotechnology. His teaching activities cover advanced calculus, linear algebra, and mathematical biology. Current grants include the EPSRC Maths DTP 2020 and EPSRC Research Associateship, alongside past funding for biofuel production via microbubble technology. Monk's research group specializes in mathematical biology, and his full contact details are available via the University of Sheffield's website.

David A. Blankمشاهده پروفایل

استاد

• Physical Chemistry
• Condensed Phase Chemical Dynamics
• Nanoscience & Materials Chemistry
• +۷ مورد دیگر

David A. Blank is a Professor in the Department of Chemistry and Associate Dean for Undergraduate Programs at the University of Minnesota's College of Science and Engineering. He leads research in condensed phase chemical dynamics, energy transfer in materials, and photovoltaic applications using nonlinear spectroscopy and computational tools like TDDFT. His research spans Physical Chemistry , Materials Chemistry , and Photovoltaic Dynamics , focusing on ultrafast electron transfer mechanisms in nanomaterials and solution-phase reactions. Techniques include time-resolved spectroscopy and molecular dynamics simulations . Recent publications highlight work on electron transfer dynamics in thiophene-ZnO systems, BODIPY-fullerene triads , and photoredox catalysis . Key themes include charge separation , excited-state deactivation , and nonlinear optical methods . The Blank Research Group has received institutional recognition, including the Platinum Safe Lab Award , and mentors students in outreach initiatives like thermodynamics demonstrations for elementary schools. Collaborative projects span organic synthesis , nanostructured materials , and computational modeling .

• Condensed Matter Physics
• Experimental Physics of Matter
• Nanotechnology
• +۳ مورد دیگر

Alessandro Baraldi is a Full Professor in the Department of Physics at the University of Trieste (UNITS). His research focuses on Experimental Physics of Matter and Applications , particularly in the areas of Condensed Matter Physics and Nanotechnology . He is a member of the research group studying Nanoscale Materials and contributes to projects involving graphene , 2D materials , and surface science . His recent publications highlight expertise in X-ray photoelectron spectroscopy , core-level spectroscopy , and metal-graphene interfaces . Current projects include investigations into oxidation states at sub-nanoscale , oxygen adsorption mechanisms , and synchrotron-based material characterization . He serves on doctoral boards for the Nanotechnology PhD Program (Cycles XXIX–XXXIX) and participates in national initiatives like the National Quantum Science and Technology Institute . Baraldi is based in Room 113 at the Department of Physics, with office hours available by appointment via email ( abaraldi@units.it ). His experimental work often utilizes beamlines at Elettra Synchrotron Radiation Facility and international facilities, collaborating with theoretical physicists such as Maria Peressi and Alfonso Baldereschi.

• Food Chemistry
• Dairy Science
• Protein Engineering
• +۳ مورد دیگر

Paulo Peres de Sa Peixoto Junior is a Research Officer at INRAE (National Research Institute for Agriculture, Food and Environment), affiliated with the Materials and Transformations Unit (CNRS UMR 8207) at the University of Lille. He leads research in the Process Interfaces and Materials Hygiene team, focusing on physico-chemical studies of food transformations. His research explores: Enzymatic modification of dairy proteins, particularly transglutaminase-mediated cross-linking of caseins Structural and functional behavior of casein micelles under varying pH, temperature, and processing conditions Stability and solubility mechanisms of dairy powders during storage Development of protein-based delivery systems for bioactive compounds Publications emphasize dairy protein chemistry, with recurring themes in casein micelle behavior, spray-drying effects on milk powders, protein aggregation dynamics, and applications of analytical techniques like SAXS, NMR, and AF4-MALS for structural characterization. Research consistently bridges fundamental colloidal science with industrial dairy processing challenges. He co-advises PhD students on topics including crosslinked casein hydrogels, milk protein isolate functionality, and lactose-hydrolyzed milk powder optimization. He co-invented a patent for viral particle detection via immuno-specific co-precipitation (WO/2022/152799). Active collaborations include the Lille Electron Microscopy Platform (PMEL) and projects with international dairy science networks.

Yavar Kianمشاهده پروفایل

استاد

• Inverse Problems for Partial Differential Equations
• Fractional Diffusion Equations
• Spectral Inverse Problems
• +۷ مورد دیگر

Yavar Kian is a Professor at the University of Rouen Normandy, affiliated with the Raphaël Salem Mathematics Laboratory (LMRS), UMR 6085 CNRS. He is based in the Faculty of Science and Technology at the university's Saint-Étienne-du-Rouvray campus. His research focuses on advanced mathematical problems related to partial differential equations and their applications. His primary research interests include inverse problems for nonlinear partial differential equations (elliptic, hyperbolic, parabolic), fractional diffusion equations, spectral inverse problems, inverse problems on Riemannian manifolds, and the Calderón problem. His work specifically addresses coefficient determination, source identification, and stability analysis for various evolution equations. Key methodological approaches in his research involve Carleman estimates, Strichartz estimates, and boundary control methods. Analysis of his recent publications (2022-2023) reveals a strong focus on fractional diffusion equations, nonlinear inverse problems, and time-dependent coefficient determination. His work demonstrates increasing sophistication in handling non-smooth coefficients, distributed order fractional derivatives, and partial boundary data. The research spans theoretical developments in stability analysis and practical applications in imaging and tomography. Kian maintains extensive international collaborations with mathematicians across Europe, Asia, and North America, particularly working with researchers from institutions in France, Japan, Finland, and the United States. His work appears in top-tier mathematics journals including SIAM Journal on Mathematical Analysis, Archive for Rational Mechanics and Analysis, and Communications in Contemporary Mathematics.

Jeroen van Oijenمشاهده پروفایل

استاد

• Combustion Modeling
• Numerical Simulation
• Chemically Reacting Flows
• +۳ مورد دیگر

Jeroen van Oijen is Full Professor in the Power & Flow group at the Department of Mechanical Engineering of the Eindhoven University of Technology (TU/e). His expertise lies in theoretical and numerical modeling of combustion, with a focus on engines and energy converters and his teaching covers mechanical engineering, chemically reacting flows, combustion modeling, and interfacial transport phenomena. His research interests include: Theoretical and numerical modeling of combustion Development of computational methods for chemically reacting flows Design of clean and efficient combustion devices for sustainable fuels Flamelet-Generated Manifold (FGM) method development Reduced chemical mechanisms for engineering applications Professor van Oijen's publications demonstrate a strong progression from fundamental flame theory to practical applications in complex combustion systems. His work focuses on flamelet-based chemical reduction techniques, particularly the Flamelet Generated Manifold approach for modeling premixed and partially-premixed flames. The research shows increasing sophistication in handling flame stretch, curvature, and preferential diffusion effects while maintaining computational efficiency for engineering applications. His scientific awards include: Fellow of The Combustion Institute (2021) Chairman of the Dutch Association for Flame Research Professor van Oijen has coordinated several national and international research projects on development of reduced models for turbulent combustion and emissions. His models are widely used for the design of clean and efficient engines, boilers, furnaces and gas turbine combustors. He has been actively involved in the Power & Flow research group, which focuses on developing new models for devices employing new combustion concepts and future sustainable fuels for the energy transition.