جستجوی استاد راهنمای دانشگاهی

Toan T. Nguyenمشاهده پروفایل

استاد

• Partial Differential Equations
• Fluid Dynamics
• Kinetic Theory
• +۴ مورد دیگر

Toan T. Nguyen is a Professor in the Department of Mathematics at Pennsylvania State University, affiliated with the Eberly College of Science. He holds a Ph.D. from Indiana University (2009). His research focuses on Partial Differential Equations, Mathematical Physics, Fluid Dynamics, and Kinetic Theory, with contributions to boundary layer stability, inviscid limits, and plasma physics. Education: Ph.D. in Mathematics, Indiana University, 2009. Affiliations: Editorial Board member of Kinetic & Related Models and SIAM Journal on Mathematical Analysis. Grants & Support: Recipient of Simons Fellowship (2019), Centennial Fellowship (2018). His work bridges theoretical analysis and applications, including nonlinear wave dynamics, fluid-structure interactions, and quantum kinetic models. He has organized international conferences, such as the VIASM Summer School in Mathematical Physics (2023–2024), and advised Ph.D. students like Chanjin You and Trinh T. Nguyen. Awards: T. Brooke Benjamin Prize (2022), highlighting his contributions to nonlinear waves and Landau damping. His research also explores instabilities in boundary layers and the mathematical foundations of plasma physics. Nguyen collaborates internationally, contributing to journals like the Journal of the American Mathematical Society and Communications in Mathematical Physics. His teaching includes advanced graduate courses on PDEs and kinetic theory.

Lintong Houمشاهده پروفایل

پژوهشگر

• Multiphase Flow
• Fluid Dynamics
• Rheology
• +۷ مورد دیگر

Dr. Lintong Hou is a Researcher at Hamburg University of Technology (TUHH) in the Department of Geo-Hydroinformatics since July 2024. He holds a BSc in Civil Engineering from China University of Mining and Technology-Beijing (2018) and a PhD in Mechanical Engineering from the Institute of Mechanics, Chinese Academy of Sciences (2024), followed by postdoctoral research there. His expertise lies in multiphase flow dynamics, focusing on gas-liquid-solid phase interactions, phase separation under extreme conditions, and experimental methodologies for mass/energy transfer challenges. His current research at TUHH addresses river evaporation losses, aiming to quantify global fluvial network evaporation through multi-factor analysis. Prior work includes studies on oil-water emulsification, polymer rheology, and electrical resistance tomography applications. Key research interests include multiphase flow behavior, rheological modeling, and flow regime transitions in complex systems. Publications span Chemical Engineering Science, Industrial & Engineering Chemistry Research, and Ocean Engineering, emphasizing experimental and computational analyses of flow phenomena. His work bridges fundamental fluid mechanics with practical applications in environmental and energy sectors.

Ali Khosraviمشاهده پروفایل

استادیار

• Bioinspired Geotechnics
• Thermo-hydro-mechanical Processes
• Soil-Structure Interaction
• +۳ مورد دیگر

Ali Khosravi is an Assistant Professor in the Department of Civil and Environmental Engineering at Auburn University, specializing in bioinspired geotechnics and geomechanics. His work integrates advanced materials science, remote sensing, and computational modeling to address challenges in infrastructure resilience, climate change impacts, and sustainable geotechnical systems. He holds a Ph.D. from the University of Colorado Boulder and degrees from Sharif University of Technology. Research focuses include: Thermo-hydro-mechanical processes in soils and fractured rocks Soil-structure interaction for seismic and environmental applications Robotics-inspired probes for subsurface exploration Permafrost degradation under climate change Energy geosystems and geothermal applications Recent projects involve collaborating with the National Center for Additive Manufacturing Excellence (NCAME) to develop underground installation robots, assessing Arctic permafrost stability with multi-disciplinary teams, and using InSAR remote sensing to monitor infrastructure like levees and highways. His research bridges geotechnical engineering with emerging technologies like machine learning and bioinspired design. Grants and collaborations include Auburn Engineering’s Kiemyung University travel grant for international research partnerships. His lab focuses on innovative solutions for geohazards, energy efficiency, and smart infrastructure systems.

Yizao Wangمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Extreme Value Theory
• +۴ مورد دیگر

Yizao Wang is a Professor in the Department of Mathematical Sciences at the University of Cincinnati. He holds a Ph.D. from the University of Michigan (2012) and specializes in Probability Theory, Stochastic Processes, and their applications, with a focus on extreme value theory, long-range dependence, and random fields. His research includes studies on asymmetric exclusion processes, fractional Brownian motion, and self-similar processes. Education : Ph.D. in Mathematics, University of Michigan, 2012. Research Interests : Probability theory, stochastic processes, extreme value theory, long-range dependence, random fields, limit theorems, and applications in finance and statistics. His work frequently explores the interplay between combinatorial structures and stochastic models, such as random partitions and operator-scaling processes. Grants : He has led and co-led multiple grants, including: DoD Army Research Laboratory: Advances in Extreme Value Theory with Long-Range Dependence ($84,229, 2020–2023) National Security Agency: From Random Partitions to Self-Similar Processes ($40,000, 2016–2018) National Science Foundation: Cincinnati Symposium on Probability Theory and Applications ($20,000, 2018–2019) Students and Advising : Mentored numerous graduate and undergraduate students in capstone projects and independent studies, focusing on topics like random walks, branching processes, and stochastic differential equations. Notable advisees include Connor McClellan, Yiyang Yu, and Weiqing Yu (recipient of the Charles Phelps Taft Senior Thesis Fellowship). Labs/Teams : Active in collaborative research groups within the department, contributing to interdisciplinary projects in stochastic modeling and mathematical finance. Teaches advanced courses in probability, stochastic processes, and financial mathematics.

• Astrophysics
• Nuclear Astrophysics
• Neutron Stars
• +۴ مورد دیگر

James M. Lattimer is a Distinguished Professor of Astronomy at Stony Brook University, affiliated with the Department of Physics & Astronomy. He specializes in neutron star structure, dense matter equation of state, core-collapse supernovae, and nuclear astrophysics. His research integrates observational data from missions like NICER with theoretical models rooted in nuclear physics. B.S. in Physics (University of Notre Dame, 19XX) Ph.D. in Astronomy (University of Texas at Austin, 19XX) His work focuses on constraining neutron star properties via X-ray observations and gravitational wave events. Key projects include NASA's Binary Neutron Star Mergers Grand Challenge and analyses of pulsar data (e.g., PSR J0740+6620, PSR J0030+0451). He teaches advanced courses like PHY 521 (Stars) and CEN 511 (Recent Discoveries in Astronomy), emphasizing stellar structure, compact objects, and cosmic phenomena. Recent research highlights include studies of symmetry energy constraints, universal neutron star relations, and implications of NICER/XMM-Newton measurements for dense matter physics. His work bridges nuclear theory, astrophysical observations, and computational modeling to address fundamental questions about matter under extreme conditions.

Louis N. Cattafesta IIIمشاهده پروفایل

استاد

• Fluid dynamics
• Aeroacoustics
• Active and passive flow control
• +۵ مورد دیگر

Louis N. Cattafesta III is the Carol and Ed Kaplan Dean of Armour College of Engineering at Illinois Institute of Technology, with a faculty appointment in the Department of Mechanical, Materials, and Aerospace Engineering. A Fellow of AIAA, ASME, APS, and RAeS, his research focuses on fluid dynamics, aeroacoustics, and flow control technologies. Ph.D. in Mechanical Engineering, Penn State University (1992) M.S. in Aeronautics, MIT (1988) B.S. in Mechanical Engineering, Penn State University (1986) His research bridges fundamental fluid mechanics with applied aerospace systems, specializing in active/passive flow control, cavity flow dynamics, and advanced measurement techniques. Recent work explores liquid hydrogen storage for zero-emission aviation and turbulence modeling using kinematic decomposition methods. Key article trends include flow control optimization for supersonic cavities, porous media applications for separation bubbles, and data assimilation techniques for turbulent boundary layers. His work spans experimental validations, numerical modeling, and patent-driven innovations. Fellow, American Institute of Aeronautics and Astronautics Fellow, American Society of Mechanical Engineers Fellow, American Physical Society Fellow, Royal Aeronautical Society As an active researcher, he has co-authored over 100 publications, advised numerous graduate students, and contributed to major flow control patents. His collaborations extend to wind tunnel design, cavity flow suppression, and cryogenic measurement systems.

Lior Sepunaruمشاهده پروفایل

دانشیار

• Bioelectronics
• Electrochemistry
• Nanotechnology
• +۷ مورد دیگر

Lior Sepunaru is an Associate Professor in the Department of Chemistry and Biochemistry at the University of California, Santa Barbara (UCSB), and a member of the Center of Polymers and Organic Solids. His research focuses on bioelectronics, single-entity electrochemistry, and nano-electrochemistry, with applications in enzyme catalysis, biosensor development, and liquid-liquid phase separation phenomena. He completed his postdoctoral studies at the University of Oxford and earned his Ph.D. from the Weizmann Institute of Science. Education: Ph.D., Weizmann Institute of Science (2014) Marie Curie Research Fellowship, University of Oxford Research interests include: Electrochemical analysis of biological droplets (coacervates) and their role in protocell-like systems Single-molecule electrocatalysis and nano-scale energy conversion mechanisms Biomolecule-mediated nanoparticle synthesis and characterization Electrochemical correlative microscopy for reaction dynamics Publications highlight advancements in electrochemical sensing, catalysis, and bio-inspired materials. His lab employs cutting-edge techniques such as liquid-cell TEM and impedimetric spectroscopy to bridge macroscopic and single-entity electrochemical phenomena. Advising and grants: Guides over 20 graduate students and postdocs in interdisciplinary projects Collaborates with groups in materials science, chemical engineering, and biomolecular science Labs/Teams: Director of the Electrochemistry Lab at UCSB, specializing in bioelectrochemistry and nanoelectrochemical systems.

• Electromagnetics
• Nonlinear Optics
• High-Performance Computing
• +۶ مورد دیگر

Mohammad Zunoubi is an Associate Professor in the Department of Engineering Programs at SUNY New Paltz, part of the School of Science & Engineering. He holds an undergraduate degree from the University of Mississippi and a postgraduate degree from the University of Illinois at Urbana-Champaign. His research focuses on High-Performance Computing solutions for electromagnetic problems, Nonlinear Optics, and Microwave/Antenna Design. He has conducted extensive work in Computational Electromagnetics, utilizing methods like FDTD and FEM. His teaching interests span Electromagnetics, Numerical Methods, and EMC/EMI. He has been recognized with multiple awards, including the SUNY Provost’s Research Award (2005) and several United States Air Force Summer Faculty Fellowships (2009–2017). His research often involves collaboration with the Air Force, focusing on advanced electromagnetic modeling and high-power microwave effects. Dr. Zunoubi’s publications highlight contributions to antenna design, electromagnetic compatibility, and high-performance computing techniques. His work bridges theoretical electromagnetics with practical applications in aerospace, medical physics, and material science.

Zhonghua Zhengمشاهده پروفایل

استادیار

• Data Science
• Environmental Engineering
• Atmospheric Science
• +۶ مورد دیگر

Dr. Zhonghua Zheng is an Assistant Professor (tenured) in Data Science & Environmental Analytics at the Department of Earth and Environmental Sciences, The University of Manchester. He leads the Manchester Environmental Data Analytics Lab (MEDAL) and serves on editorial boards of journals like Atmospheric Chemistry and Physics . His research focuses on data-driven approaches to urban climate modeling, aerosol science, and environmental systems analysis. Education : PhD in Environmental Engineering (UIUC, 2020) MCS in Computer Science (UIUC, 2022) MS in Agricultural & Biological Engineering (UIUC, 2016) BEng in Biosystems Engineering (Zhejiang University, 2015) Research Interests : Dr. Zheng integrates data science (AI, ML) with Earth system modeling to address challenges in urban climate adaptation, air quality, and agricultural-environmental nexus. Key themes include: Urban heat stress projections using machine learning Aerosol mixing state characterization via foundation models Climate adaptation strategies for net-zero cities Agricultural emissions modeling in Southeast Asia Recent Article Trends : His 2025 publications emphasize machine learning applications in urban climate and aerosol science, including pollen fragmentation dynamics and black carbon mixing effects. Earlier work (2024) focuses on model improvements for urban surface albedo and gas-phase chemistry. Awards : 2025: Aerosol Science Career Development Grant 2024: Best Student Poster Award (AOGS) 2023: City Brain Open Research Youth Scholar Advising & Grants : Supervises 10+ PhD students (e.g., Yuan Sun, Fei Jiang) and has secured grants including a Royal Society AI + Air Quality award. Leads interdisciplinary projects with NERC, The Alan Turing Institute, and Yunqi Academy. Labs & Teams : Runs MEDAL lab collaborating with global institutions (MIT, NCAR, Columbia). Active in initiatives like UK Atmospheric Chemistry Conference and Open Data Computing Workshop.

James Bishopمشاهده پروفایل

استاد

• Ocean carbon cycle dynamics
• Remote sensing
• Aquatic chemistry
• +۵ مورد دیگر

James Bishop is a Professor in the Department of Earth and Planetary Science at the University of California, Berkeley, and a Faculty Senior Scientist at Lawrence Berkeley National Laboratory. He earned a B.Sc. (Honors) in Physical and Inorganic Chemistry from the University of British Columbia and a Sc.D. in Marine Chemistry from the MIT/Woods Hole Oceanographic Institution Joint Program in Oceanography. His research focuses on ocean carbon cycle dynamics, remote sensing, aquatic chemistry, marine biogeochemistry, and autonomous observing systems. Key affiliations: Lawrence Berkeley National Laboratory (since 2006), University of Victoria (School of Earth and Ocean Sciences), and Columbia University (Lamont Doherty Earth Observatory). Dr. Bishop’s research spans marine particle dynamics, biogeochemical cycling, and development of autonomous sensors for ocean carbon monitoring. His work involves major initiatives like GEOTRACES and VERTIGO, with emphasis on particulate inorganic/organic carbon (PIC/POC) proxies, carbon flux validation, and optical sensor integration. Recent publications highlight advancements in robotic oceanography, carbon export quantification, and cross-polarized light detection methodologies.

Jie Liمشاهده پروفایل

استاد

• Mineral Physics
• Geochemistry
• Petrology
• +۳ مورد دیگر

Jie Li is the Rodney C. Ewing Collegiate Professor of Earth and Planetary Sciences and Professor of Earth and Environmental Sciences at the University of Michigan. She holds a Ph.D. in Earth and Planetary Sciences (Harvard University, 1998) and an M.A. in Geophysics (Harvard University, 1997). Her research focuses on Earth and planetary materials under extreme conditions, leveraging high-pressure techniques like diamond-anvil cells and synchrotron facilities. Key interests include terrestrial planet evolution, core composition, and dynamics of planetary interiors. Recent studies explore light elements in Earth’s core, Mercury’s magnetic field origin, and early Earth crust formation. Her work bridges experimental geochemistry, mineral physics, and computational modeling to understand planetary interiors. Notable contributions include pioneering studies on iron spin states in the lower mantle and the role of metallic melts in mantle dynamics. She collaborates globally, advancing methodologies for high-pressure experiments. Her research has been featured in outlets like Mashable India , highlighting her insights on Earth’s core dynamics and planetary science. Li’s lab emphasizes interdisciplinary approaches to unraveling the origins of planetary materials and their evolution over geological time.

Roland Bauerschmidtمشاهده پروفایل

استاد

• Probability Theory
• Mathematical Physics
• Statistical Mechanics
• +۵ مورد دیگر

Roland Bauerschmidt is a Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University. He previously held a professorship at the University of Cambridge and conducted postdoctoral research at Harvard and the Institute for Advanced Study. His research focuses on probability theory, mathematical physics, and statistical mechanics, particularly in spin systems, renormalization group methods, stochastic dynamics, and random matrices. He has contributed extensively to understanding phase transitions, critical phenomena, and universality classes. Education: PhD from the University of British Columbia (advised by David Brydges and others), undergraduate degrees from ETH Zurich. Research interests include applications of supersymmetry in probability, Coulomb systems, and log-Sobolev inequalities. He has organized programs such as the HIM Trimester Program on Probabilistic Methods in Quantum Field Theory. His teaching spans graduate and undergraduate courses in probability theory, stochastic dynamics, and mathematical analysis at NYU, Cambridge, and international institutions. His work frequently intersects with renormalization group techniques, spectral gaps, and non-equilibrium dynamics. Recent publications explore log-Sobolev inequalities in spin systems, high-temperature discrete Gaussian models, and percolation transitions in random forests.

Jorge Hirschمشاهده پروفایل

استاد

• Superconductivity Mechanisms
• Hole Superconductivity
• Quantum Phase Transitions
• +۲ مورد دیگر

Jorge Hirsch is Professor of Physics at UC San Diego, conducting theoretical research on superconductivity mechanisms. His work challenges conventional theories through analysis of thermodynamic inconsistencies in the Meissner effect. Research focuses on hole superconductivity models, magnetic flux expulsion dynamics, and critical examination of high-pressure hydride superconductors. Current investigations address entropy generation during phase transitions in magnetic fields.

Marcus Kitchenمشاهده پروفایل

دانشیار

• Phase Contrast X-ray Imaging
• Compton Scatter Imaging
• Biomedical Imaging
• +۴ مورد دیگر

Associate Professor Marcus Kitchen is affiliated with Monash University's School of Physics and Astronomy and the Victorian Heart Institute. He specializes in developing advanced X-ray imaging techniques, including Phase Contrast Imaging, Compton Scatter Imaging, and Ultra-Low Radiation Dose methods. His research focuses on enhancing diagnostic capabilities in lung and brain imaging while minimizing radiation exposure. Collaborations with institutions like the Hudson Institute aim to improve neonatal care, particularly for preterm infants with underdeveloped lungs. Key projects include translating synchrotron-based methodologies for clinical and industrial applications. Research interests span biomedical imaging, material discrimination, and radiation dose reduction. He leads or co-leads over 30 projects, including 'X-ray Scatter Imaging: Vast Information with Minimal Radiation' (2025–2028) and 'IMPACT: IMplementation of x-ray PhAse-Contrast Tomography to transform cancer diagnosis' (2022–2026). His work aligns with UN Sustainable Development Goals focused on health and innovation. Publications emphasize novel imaging modalities and their applications in respiratory and neurological disorders. Despite no explicit awards listed, his contributions to reducing radiation exposure and advancing lung mechanics research are significant. He supervises graduate students and actively seeks PhD candidates. His lab integrates theoretical, computational, and experimental approaches to bridge gaps between fundamental physics and clinical medicine.

Zhen Biمشاهده پروفایل

استادیار

• Condensed Matter Physics
• Theoretical Physics
• Topological Materials
• +۴ مورد دیگر

Zhen Bi is an Assistant Professor of Physics at the Pennsylvania State University, affiliated with the Eberly College of Science and the Department of Physics. His research focuses on theoretical condensed matter physics, particularly topological phases of matter, quantum phase transitions, quantum field theory, and 2D materials such as moiré systems. He holds a B.S. from Peking University (2008-2012), a Ph.D. from the University of California, Santa Barbara (2012-2017), and was a Pappalardo Fellow at MIT (2017-2020). Key research areas include topological materials, quantum critical phenomena, and the interplay between symmetry and topology in condensed matter systems. Recent work explores moiré heterostructures, fractonic phases, and symmetry-protected topological states. His studies often involve novel theoretical frameworks like nonlinear sigma models and gauge theories to classify and predict exotic phases. Publications highlight contributions to understanding topological order in mixed states, symmetry-breaking-driven phases, and interaction-driven quantum Hall effects in moiré systems. His work bridges high-energy physics concepts with condensed matter systems, emphasizing interdisciplinary approaches to quantum materials.