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Yizao WangView profile

Professor

• Probability Theory
• Stochastic Processes
• Extreme Value Theory
• +4 more

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
• +4 more

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 IIIView profile

Professor

• Fluid dynamics
• Aeroacoustics
• Active and passive flow control
• +5 more

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 SepunaruView profile

Associate Professor

• Bioelectronics
• Electrochemistry
• Nanotechnology
• +7 more

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
• +6 more

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 ZhengView profile

Assistant Professor

• Data Science
• Environmental Engineering
• Atmospheric Science
• +6 more

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 BishopView profile

Professor

• Ocean carbon cycle dynamics
• Remote sensing
• Aquatic chemistry
• +5 more

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 LiView profile

Professor

• Mineral Physics
• Geochemistry
• Petrology
• +3 more

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 BauerschmidtView profile

Professor

• Probability Theory
• Mathematical Physics
• Statistical Mechanics
• +5 more

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 HirschView profile

Professor

• Superconductivity Mechanisms
• Hole Superconductivity
• Quantum Phase Transitions
• +2 more

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 KitchenView profile

Associate Professor

• Phase Contrast X-ray Imaging
• Compton Scatter Imaging
• Biomedical Imaging
• +4 more

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 BiView profile

Assistant Professor

• Condensed Matter Physics
• Theoretical Physics
• Topological Materials
• +4 more

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.

Robert MacKayView profile

Professor

• Dynamical Systems
• Mathematical Physics
• Complexity Science
• +3 more

Robert MacKay is a Professor of Mathematics and Director of Mathematical Interdisciplinary Research at the University of Warwick. His work bridges pure and applied mathematics, focusing on dynamical systems, mathematical physics, and complexity science with applications to economics, engineering, and fusion energy. He leads the Warwick team in the Simons collaboration on Hidden Symmetry and Fusion Energy, addressing challenges in stellarator design. He teaches advanced courses like MA4H0 Applied Dynamical Systems and TCC Thermal Economics, the latter pioneering a thermodynamic approach to macroeconomics. His research interests include nonlinear dynamics, bifurcation theory, and applications to physics (e.g., plasma confinement), biology, and finance. Collaborations include work on magnetohydrodynamic equilibria and single-particle motion in non-axisymmetric magnetic fields. He has secured grants from EPSRC, Royal Society, and the Simons Foundation, supporting interdisciplinary projects such as the Mathematics of Complexity Science and Systems Biology (2009–2011). MacKay holds prestigious awards including Fellowships from the Royal Society (FRS), Institute of Physics (FInstP), and Institute of Mathematics and its Applications (FIMA). His recent work explores thermal macroeconomics, financial market dynamics, and geometric approaches to plasma confinement. He advises PhD students and postdocs in nonlinear dynamics and PDE theory, fostering the next generation of complexity scientists.

Catherine WolframView profile

Assistant Professor

• Complex Analysis
• Probability Theory
• Geometry
• +3 more

Catherine Wolfram is a Gibbs Assistant Professor at Yale University and a National Science Foundation (NSF) postdoctoral fellow. She holds a PhD in Mathematics from MIT (2024), advised by Scott Sheffield, and an undergraduate degree from the University of Chicago. Her research focuses on complex analysis, probability, and geometry, with applications to statistical mechanics and random surfaces. She has presented her work at institutions including the University of Michigan, Columbia University, and international conferences such as the World Congress on Probability and Statistics. Her recent activities include talks on dimer models, holography in mathematical physics, and Teichmüller theory. Catherine has also engaged in teaching roles at MIT, leading recitations in probability and multivariable calculus. Her research has been supported by NSF postdoctoral funding, and her work has been published in journals like International Mathematics Research Notices (IMRN). She actively collaborates with researchers in probability, geometry, and mathematical physics, evidenced by her co-authored papers and participation in workshops at IHES, CIRM, and the Fields Institute.

Somnath GhoshView profile

Professor

• Computational Mechanics
• Multiscale Modeling
• Integrated Computational Materials Engineering (ICME)
• +6 more

Somnath Ghosh is the Michael G. Callas Chair Professor at Johns Hopkins University, holding joint appointments in the Departments of Civil & Systems Engineering, Mechanical Engineering, and Materials Science & Engineering. He directs the Computational Mechanics Research Laboratory (CMRL) and founded the Center for Integrated Structure-Materials Modeling and Simulations (CISMMS). His research focuses on multiscale computational mechanics, materials science, and integrated computational materials engineering (ICME). Key areas include additive manufacturing, fatigue and fracture mechanics, machine learning, and uncertainty quantification. Education includes a B.Tech. from IIT Kharagpur, M.S. from Cornell University, and Ph.D. from the University of Michigan. Ghosh has led major initiatives like NASA’s Space Technology Research Institute for Additive Manufacturing (IMQCAM) and the Air Force-funded Center of Excellence in Integrated Materials Modeling (CEIMM). He has authored over 300 peer-reviewed publications, three books, and is a Fellow of multiple societies, including the AAAS, ASME, and TMS. Award highlights include the Theodore von Karman Medal (2025), J.N. Reddy Medal (2024), and Nathan M. Newmark Medal (2013). His work bridges theory and industry applications in aerospace, automotive, and defense sectors. Labs under his leadership (CMRL and CISMMS) develop digital twins and advanced modeling tools for materials qualification and design.