جست‌وجوی استاد و پژوهشگر

• Theoretical Particle Physics
• Nuclear Physics
• Cosmic Ray Physics
• +۷ مورد دیگر

Masatoshi Takano is a Professor at the Faculty of Science and Engineering, Waseda University, specializing in theoretical studies of nuclear physics, particle physics, and astrophysics. His work focuses on nuclear equations of state (EOS) for neutron stars and core-collapse supernovae, incorporating realistic nuclear forces like the Argonne v18 and Urbana IX potentials. He has developed variational methods with explicit energy functionals to model hyperonic nuclear matter, spin-orbit forces, and finite-temperature effects. Education : PhD in Science, Waseda University Professional Memberships : American Physical Society, Japan Physical Society Research spans neutron star structure, supernova simulations, and nuclear matter phase transitions. His recent presentations address neutrino emission rates, braking radiation in nuclear matter, and cluster variational methods. Key collaborations include H. Togashi, K. Nakazato, and K. Sumiyoshi. Scientific contributions involve refining variational energy expressions for asymmetric nuclear matter, incorporating three-body forces, and studying pion condensation effects on neutron star cooling. He has applied his EOS models to multidimensional supernova simulations and cosmic ray detector design.

Jessica Hullmanمشاهده پروفایل

استاد

• Artificial Intelligence
• Human-Computer Interaction
• Uncertainty Quantification
• +۴ مورد دیگر

Jessica Hullman is the Ginni Rometty Professor of Computer Science at Northwestern University's McCormick School of Engineering and a Faculty Fellow at the Institute for Policy Research. Her research develops theoretical frameworks and interfaces for human-AI collaboration, focusing on uncertainty quantification, statistical modeling, and decision-making in domains like scientific research and AI-assisted analysis. Education: PhD in Information (Visualization), University of Michigan (2013) MS in Information Analysis, University of Michigan (2008) BA in Comparative Studies, Ohio State University (2003) Tableau Postdoctoral Fellowship, UC Berkeley (2015) Research Focus: Hullman's work bridges formal models of rational inference (e.g., Bayesian decision theory) with real-world applications. Key areas include: human-AI complementarity in decision-making, visualization of uncertainty, statistical reform, and LLM applications in behavioral science. Her research consistently addresses the alignment of data-driven interfaces with human cognitive capabilities. Publication Trends: Recent work demonstrates a strong emphasis on human-AI collaboration frameworks, decision-theoretic evaluation of visualizations, and methodological rigor in machine learning and social science. Key themes include uncertainty quantification (conformal prediction, privacy tradeoffs), behavioral experiments in AI-assisted tasks, and critical analyses of scientific practices. Awards & Honors: Microsoft Faculty Fellow (2019) Google Faculty Award NSF CAREER, Medium, and Small Awards Multiple best paper/honorable mention awards at top HCI/visualization venues (CHI, VIS) Funding & Labs: Principal Investigator for NSF-funded projects including HCC: Medium on visualization tools. Previously affiliated with University of Washington's Interactive Data Lab and DataLab. Current research includes NSF-supported work on improving data visualization for reasoning about analytical assumptions.

Michael Haganمشاهده پروفایل

استاد

• Biophysics
• Soft Condensed Matter
• Active Matter
• +۴ مورد دیگر

Michael Hagan is a Professor of Physics at Brandeis University, affiliated with the Martin A. Fisher School of Physics. His research focuses on understanding the physical principles governing assembly and dynamic organization in biological and biomimetic systems. He employs computational and theoretical methods, including machine learning, to study viral capsid assembly, bacterial microcompartments, and active matter systems. His work bridges length and time scales to elucidate emergent behaviors in nonequilibrium systems. Education: PhD in Physics from the University of California, Berkeley (2003). His group, the Hagan Lab, collaborates with experimentalists and has received funding from the DOE, NSF, Keck Foundation, and NIH. Key areas include viral genome assembly optimization, bacterial microcompartment formation, and the dynamics of active nematics. Recent studies explore defect-ordered phases, phase separation in active colloids, and programmable self-assembly of geometric structures. Research interests span biophysics, soft condensed matter, and computational modeling. His lab's work has implications for synthetic biology, drug design, and material science. Collaborations with experimental groups (e.g., Z. Dogic's lab) have led to discoveries in active matter dynamics and biomimetic systems.

Thomas Cheatham IIIمشاهده پروفایل

استاد

• Computational Chemistry
• Molecular Dynamics
• Biomolecular Simulation
• +۴ مورد دیگر

Thomas Cheatham III is a Professor of Medicinal Chemistry in the College of Pharmacy and Adjunct Professor of Biomedical Engineering at the University of Utah, specializing in computational biomolecular simulation methodologies. His work bridges theoretical chemistry and biological applications through advanced molecular dynamics techniques. Education: B.A., Middlebury College Ph.D., University of California, San Francisco Research Focus: Dr. Cheatham pioneers molecular dynamics and free energy simulation methods (AMBER/CHARMM) for proteins, nucleic acids, and lipids. His group addresses critical challenges in environmental dependence of nucleic acid structure (ion/hydration effects on DNA), conformational transition pathways (e.g., B-DNA/Z-DNA junctions), and macromolecular flexibility beyond static experimental structures. Recent innovations target force field refinement for modified nucleic acids and polarizable models. Publication Trends: Analysis of his 2023-2025 publications reveals three dominant themes: (1) Nucleic acid force field optimization (60% of recent work), particularly RNA/DNA parameterization; (2) Development of simulation infrastructure including FAIR data principles and AmberTools; (3) Application-driven studies of therapeutic targets like Bcr-Abl inhibitors. His work increasingly integrates polarizable force fields and high-performance computing. Research Infrastructure: He leads the AMBER biomolecular simulation software development effort and maintains an active laboratory focused on methodological innovation. His group collaborates extensively with experimentalists to validate computational predictions and provides open-source tools (PTRAJ/CPPTRAJ) used globally. Current initiatives emphasize reproducibility through standardized simulation protocols and data sharing frameworks.

• Welding Metallurgy
• Physical Metallurgy
• Additive Manufacturing
• +۱۰ مورد دیگر

Leijun Li, PhD, P.Eng., is a Professor in the Department of Chemical and Materials Engineering at the University of Alberta, where he also serves as Chair. With a career spanning institutions including Rensselaer Polytechnic Institute, University of Northern Iowa, and Utah State University, he specializes in physical metallurgy , welding metallurgy , and additive manufacturing . His research focuses on microstructure characterization, mechanical properties, and modeling of non-equilibrium phase transformations during welding and AM processes. Current affiliations: University of Alberta, American Welding Society, ASM International Research themes: Additive manufacturing of alloys, Corrosion science, Pipeline metallurgy, Phase transformations, Welding robotics He has received multiple AWS Hobart Awards (4 times) and Savage Awards (2 times) for his work on pipeline welding and metallurgy. His group has published extensively on topics including delta-ferrite retention in Grade 91 steel, inverse bainite transformations , and welding defect analysis . Recent projects include NSERC Alliance Missions Grant for rare earth mineral recovery and Alberta Innovates Ecosystem Program for advanced manufacturing. Key collaborators: Dr. Tom Lienert, Dr. Xiaoying Fang, Dr. P-Q Xu Labs: Rooms 2-158/3-133 (CME Building), Office 12th Floor DICE Building

• Economic Theory
• Game Theory
• Mechanism Design
• +۴ مورد دیگر

Seungjin Han is a Professor in the Department of Economics at McMaster University, specializing in economic theory with applications in game theory, mechanism design, and public policy. His work bridges theoretical rigor with practical economic questions in taxation, matching markets, and corporate finance. His academic foundation includes a Bachelor of Economics from Korea University, Seoul; Master of Arts in Economics from McGill University, Montreal; and PhD in Economics from the University of Toronto. Research interests center on competing mechanism games, signaling theory, and market design. Key contributions address equilibrium analysis in strategic environments, tax incidence in differentiated markets, and incentive structures in matching frameworks. His theoretical work frequently appears in top journals like the Journal of Economic Theory and Journal of Mathematical Economics. Recent publications (2021-2025) reveal consistent focus on competing mechanisms and signaling dynamics, with growing emphasis on policy-relevant applications in public finance and labor markets. Over half his work involves collaborative research networks spanning international institutions. Teaching encompasses graduate-level Microeconomic Theory (ECON 721), Mathematical Methods (ECON 765), and Advanced Economic Theory (ECON 4T03) since 2017, reflecting deep engagement with core economic methodology.

Steven Bramsمشاهده پروفایل

استاد

• Game Theory
• Social Choice Theory
• Fair Division
• +۶ مورد دیگر

Steven Brams is a Professor of Politics at New York University's Department of Politics within the College of Arts & Science. His research focuses on game theory, social choice theory, fair division, voting systems, and international politics. He holds a B.S. from MIT (1962) and a Ph.D. from Northwestern University (1966). Brams' work emphasizes fair allocation mechanisms, including envy-free division algorithms, voting system reforms, and rule design in sports and conflict resolution. He has collaborated extensively with researchers like D. Marc Kilgour and Mehmet S. Ismail on topics such as fair shootouts in soccer, equitable chess openings, and gerrymandering solutions. Education: B.S., Massachusetts Institute of Technology, 1962 Ph.D., Northwestern University, 1966 His research explores how game-theoretic models can address real-world problems, such as improving voting systems, resolving disputes, and enhancing fairness in sports. Notable contributions include the 'Catch-Up' rule for service sports and the 'Excess Method' for multiwinner approval voting. Awards: American Association for the Advancement of Science Fellow (1992) Guggenheim Fellow (1986–1987) Russell Sage Foundation Visiting Scholar (1998–1999) Elinor Ostrom Prize (2013) Brams has advised on electoral reforms and contributed to policy discussions on fair division in international conflicts, such as the Spratly Islands dispute. His interdisciplinary work bridges mathematics, political science, and philosophy, addressing both theoretical and applied challenges in decision-making.

Richard B. Howarthمشاهده پروفایل

استاد

• Environmental economics
• Ecosystem services
• Intergenerational justice
• +۴ مورد دیگر

Richard B. Howarth serves as the Richard and Jane Pearl Professor of Environmental Studies at Dartmouth College, where he co-chairs the PhD Program in Ecology, Evolution, Environment, and Society (EEES). His work integrates economic analysis with ecological, moral, and social dimensions of environmental governance, positioning him at the forefront of ecological economics research and policy application. His academic foundation includes an A.B. in Biology and Society from Cornell University (1985, summa cum laude), an M.S. in Land Resources from the University of Wisconsin-Madison (1987), and a Ph.D. from UC Berkeley's Energy and Resources Group (1990). Prior to joining Dartmouth in 1998, he held research positions at Lawrence Berkeley National Laboratory and UC Santa Cruz. Professor Howarth's research centers on environmental valuation , particularly deliberative methods for ecosystem services assessment , and the ethical foundations of intergenerational justice in climate policy. His scholarship critically examines discounting theories , carbon pricing mechanisms , and the tension between economic growth and ecological sustainability , often incorporating Hans Jonas' Imperative of Responsibility as an ethical framework. Recent work emphasizes social norm dynamics in pro-environmental behavior and methodological innovations for integrating health, economic, and environmental trade-offs. Analysis of his 2020-2024 publications reveals three dominant research trajectories: (1) refinement of deliberative valuation techniques for ecosystem services, (2) dual-track approaches to global carbon pricing that address equity concerns, and (3) application of sociotechnical transition theory to climate stabilization. His work consistently bridges theoretical economics with practical policy design, particularly regarding New England's energy transition and Canadian hydropower integration. As Co-Chair of Dartmouth's EEES PhD program, Howarth mentors doctoral candidates across interdisciplinary environmental research. He taught foundational courses including ENVS 3 (Environment & Society) and ENVS 55 (Ecological Economics), and served as Editor-in-Chief of Ecological Economics for 14 years (2008-2022), significantly shaping the field's scholarly discourse. His career demonstrates sustained commitment to transforming economic paradigms through ethical engagement with sustainability challenges.

Lance L. Lobbanمشاهده پروفایل

استاد

• Catalysis
• Reaction Engineering
• Biofuels
• +۵ مورد دیگر

Lance L. Lobban is the David Ross Boyd Professor and Francis W. Winn Chair of Chemical Engineering at the University of Oklahoma. He leads research in catalysis and reaction engineering, with a focus on biofuels and thermochemical biomass conversion. His work integrates experimental measurements (e.g., transient kinetics, FTIR, mass spectrometry) with theoretical models to optimize catalytic processes. Current projects address challenges in scaling biomass refining due to its distributed nature and oxygen content. Education : Ph.D. Chemical Engineering (1987), University of Houston; B.S. Chemical Engineering (1981), University of Kansas. Research interests include gas/liquid phase reactions, catalytic deactivation mechanisms, and non-equilibrium plasma systems. His lab investigates biofuel production via pyrolysis, catalytic upgrading of biomass pyrolysis vapors, and bifunctional catalyst design. Notable awards include the Brandon H. Griffin Teaching Award (2006) and sustained recognition as an Outstanding Chemical Engineering Instructor (1992–2011). His contributions to national scholar recruitment earned the Richard M. Cyert Award (1993). Awards : Over 20 teaching and research honors, including presidential professorships and industry-recognized lectureships. Advising focuses on graduate students in chemical engineering, with grants supporting biomass conversion and catalysis projects. His lab collaborates with interdisciplinary teams in sustainable chemical and materials engineering. Lobban’s work is housed in the Sarkeys Energy Center, part of OU’s Sustainable Chemical, Biological and Materials Engineering program.

• Computational Mathematics
• Applied Mathematics
• Partial Differential Equations
• +۷ مورد دیگر

Frédéric Valentin is a Senior Researcher at the National Laboratory for Scientific Computing (LNCC) in Brazil, where he led the Department of Computational and Mathematical Methods from 2015 to 2021. He holds an INRIA International Chair (2018–2023) and served on the applied mathematics board of Brazil's National Science Foundation (CNPq) from 2017 to 2020. He currently leads the IPES Research Group and acts as the Brazilian Scientific Director for the Inria-Brasil partnership. His work focuses on computational and applied mathematics, particularly in developing innovative numerical methods for multiscale phenomena in engineering and life sciences. National Laboratory for Scientific Computing - LNCC (2015–2021) INRIA International Chair (2018–2023) Inria-Brasil Partnership (Scientific Director) Valentin's research involves partial differential equations, finite element methods, domain decomposition, and numerical analysis. He explores the integration of numerical algorithms with machine learning and high-performance computing, including applications to supercomputing projects like the Brazil-European Community's HPC4E initiative. His publications span over 60 high-impact journal articles and book chapters, primarily in computational mathematics and numerical analysis. He has co-advised over a dozen PhD students and postdoctoral researchers, contributing to international collaborations and advancing multiscale modeling techniques. Notably, he played a pivotal role in developing the Santos Dumont petaflop supercomputer at LNCC, the most advanced in Latin America.

Virgiliu Midriganمشاهده پروفایل

استاد

• Macroeconomics
• Monetary Economics
• International Trade
• +۴ مورد دیگر

Virgiliu Midrigan serves as the William R. Berkley Term Professor of Economics and Business within the Department of Economics at New York University's Faculty of Arts and Science. His academic profile reflects deep expertise in macroeconomic theory and empirical analysis, with significant contributions to understanding price stickiness, business cycle dynamics, and the distributional effects of market imperfections. Midrigan's research program investigates critical questions at the intersection of micro and macroeconomics. He has conducted influential work on menu costs and nonlinear inflation dynamics, demonstrating how micro-level price rigidities translate into aggregate fluctuations. His studies on markups examine their role in economic efficiency and inequality, while research on financial frictions analyzes credit constraints in housing and labor markets during recessions. Additional interests include international trade, taxation policy, and development economics, evidenced by field experiments in Uganda. Analysis of his 2018-2024 publications reveals sustained focus on refining business cycle models to incorporate realistic financial and pricing frictions. His work addresses Great Recession puzzles such as unemployment volatility and trade collapse by integrating micro-level evidence into macroeconomic frameworks. This approach has yielded insights into monetary policy transmission, welfare costs of market power, and efficient redistribution policies, consistently combining theoretical innovation with empirical validation. No scientific awards are documented in available sources. Information regarding graduate student advising, research grants, or laboratory affiliations is not provided in current materials.

• Economic Theory
• Behavioral Economics
• Mechanism Design
• +۷ مورد دیگر

Shengwu Li is a Professor of Economics at Harvard University, specializing in economic theory and behavioral economics. His research focuses on designing simple and transparent economic systems, particularly addressing computational complexity challenges. He has contributed to mechanism design, auctions, and market design, emphasizing cognitive simplicity and bounded rationality. Key research interests include obviously strategy-proof mechanisms, cursed equilibrium extensions, and the effects of salary benchmarking. His work spans dynamic matching markets, fairness in bargaining, and the ethical dimensions of market design. Awards: Aliprantis Prize (2017), Exeter Prize (2018), EC'18 SIGecom Best Paper Award Notable Projects: Salary benchmarking studies, cursed equilibrium dynamics, and fair bargaining norms Literature Contributions: Maintains a curated page on obviously strategy-proof mechanisms and related literature His research integrates theoretical insights with empirical data, addressing real-world applications in labor markets, auctions, and negotiation systems.

Haomiao Yuمشاهده پروفایل

استاد

• Microeconomics
• Mathematical Economics
• Game Theory
• +۴ مورد دیگر

Haomiao Yu is a Professor in the Department of Economics at Toronto Metropolitan University, where he serves as Continuing Education Academic Coordinator and Coordinator of the Economics and Management Science Major. His research focuses on microeconomics, mathematical economics, and game theory, with a particular emphasis on large games, equilibrium theory, and strategic interactions under asymmetric information. His work explores foundational topics such as information structures, rationalizability, and the equivalence between individualized and distributionalized games. Recent publications address Pareto refinements, social norms in game theory, and equilibrium existence in non-atomic games. Selected publications highlight his contributions to understanding strategic uncertainty, equilibrium distributions, and the closed-graph property of Nash equilibrium correspondences. His teaching fields align with his research expertise, including microeconomics, game theory, and industrial organization. Contact: haomiao@torontomu.ca | Personal Website | Curriculum Vitae

Jayasree Biswasمشاهده پروفایل

استادیار

• Sustainable Metal Extraction
• Metal Recycling
• Green Steelmaking
• +۱۱ مورد دیگر

Dr. Jayasree Biswas is an Assistant Professor in the Department of Metallurgical Engineering and Materials Science at the Indian Institute of Technology Bombay, where she has been serving since February 2024. Her research is centered on sustainable metal extraction and green metallurgical processes. Education: Ph.D. in Process Metallurgy, Department of Materials Science and Engineering, McMaster University, Canada (2021) M.Tech. in Process Engineering, Department of Metallurgical Engineering and Materials Science, IIT Bombay, India (2015) B.E. in Metallurgical and Materials Engineering, Jadavpur University, India (2013) Her research interests include sustainable metal extraction, metal recycling from e-waste and batteries, green steelmaking, high-temperature kinetics, metal refining thermodynamics, and process modeling. She employs experimental studies involving slag/metal and gas/solid reactions, along with computational modeling, to understand phase equilibria, impurity partitioning, and rate-controlling steps in metallurgical processes. The recent publications reflect a strong focus on decarburization, dephosphorization, sulfation roasting for battery recycling, and the innovative integration of reinforcement learning for process control in pellet induration. These works span high-temperature reaction kinetics and digital optimization in metallurgical systems. Scientific Awards: No specific awards listed in the provided text. Dr. Biswas advises research through her Laboratory of Sustainable Metal Extraction at IIT Bombay. She is currently leading a post-doctoral project funded by the Ministry of Steel in collaboration with Tata Steel on green steelmaking. While no formal students are listed, she is actively recruiting post-doctoral fellows, indicating the development of her research group. Her prior experience includes a post-doc at Aalto University, Finland, and industry research at TCS TRDDC, Pune.

• Fluid Dynamics
• Computational Fluid Dynamics
• Hypersonic Flows
• +۵ مورد دیگر

Giuseppe Pascazio serves as a Full Professor in the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy. His research spans computational fluid dynamics with dual focus on aerospace applications and biomedical engineering, particularly in hypersonic flow phenomena and microwave ablation technologies for cancer therapy. His primary research interests include fluid dynamics, computational methods for high-enthalpy flows, thermochemical non-equilibrium modeling, turbulent boundary layer analysis, and biomedical device optimization. Pascazio develops advanced numerical techniques including high-order schemes, state-to-state kinetics implementations, and GPU-accelerated solvers to address complex flow physics in atmospheric entry and medical applications. His work bridges fundamental gas dynamics with practical engineering solutions for spacecraft thermal protection and minimally invasive cancer treatments. Analysis of his recent publications (2021-2025) reveals three dominant research thrusts: (1) High-fidelity simulation of hypersonic flows with detailed chemistry using state-to-state kinetics, (2) Development of robust numerical methods for shock-capturing in thermochemically non-equilibrium flows, and (3) Biomedical applications focusing on microwave ablation probe design and microcapsule transport in vascular systems. His aerospace work emphasizes atmospheric reentry physics while biomedical research targets cancer therapy optimization. Pascazio has participated in significant research projects including "PrInCE" (Innovative Processes for Energy Conversion) and "INNOVHEAD" (Advanced technologies for reduction of polluting emissions in Heavy Duty engines). His collaborative work involves industrial partnerships in aerospace and medical device sectors, though specific grant details beyond project names aren't provided. He maintains active research output with over 50 publications demonstrating consistent contributions to high-speed aerodynamics and biomedical fluid dynamics.