جست‌وجوی استاد و پژوهشگر

Vikramaditya G. Yadavمشاهده پروفایل

دانشیار

• Biocatalysis
• Bioremediation
• Bioprocess engineering
• +۱۵ مورد دیگر

Vikramaditya G. Yadav is an Associate Professor at the University of British Columbia (UBC) in the Department of Chemical and Biological Engineering, Faculty of Applied Science. He directs the Master of Engineering Leadership (MEL) Program in Sustainable Process Engineering and leads the BioFoundry research group. Education: B.A.Sc., University of Waterloo (2007) Ph.D., Massachusetts Institute of Technology (2013) Postdoctoral Associate, Harvard University (2014) His research spans sustainable chemical manufacturing, metabolic engineering, and biotechnology. Key areas include: Designing biosynthetic enzymes for biomass valorization Developing bioremediation strategies for industrial water quality Creating innovative drug delivery systems and tissue engineering solutions Advancing synthetic biology for pharmaceutical and bioenergy applications His recent work focuses on ocular drug delivery, cannabinoid biosynthesis in E. coli, lignin-based nanoparticles for cancer therapy, and computational analysis of plant secondary metabolites. Collaborations with start-ups, industry, and medical labs drive innovation in Canada's bioeconomy. Professional Leadership: Chair, Biotechnology Division of the Chemical Institute of Canada Associate Editor, The Canadian Journal of Chemical Engineering He is affiliated with UBC's BioProducts Institute and contributes to project-based learning pedagogy.

David Jerisonمشاهده پروفایل

استاد

• Fourier analysis
• partial differential equations
• free boundary problems
• +۲ مورد دیگر

David Jerison is a Professor of Mathematics at the Massachusetts Institute of Technology (MIT), where he conducts research in Fourier analysis and partial differential equations. His work focuses primarily on free boundary problems and, more recently, on internal Diffusion Limited Aggregation (internal DLA), a stochastic growth model. He maintains an active research program with numerous publications in leading mathematical journals. Professor Jerison's research spans several interconnected areas of mathematical analysis. His primary interests include Fourier analysis and partial differential equations, with particular emphasis on free boundary problems. In recent years, he has expanded his research to include internal Diffusion Limited Aggregation, a stochastic growth model that has connections to probability theory and mathematical physics. His work often bridges geometric analysis, spectral theory, and probabilistic methods, demonstrating the deep connections between different branches of mathematics. Analysis of Professor Jerison's recent publications reveals a consistent focus on geometric aspects of partial differential equations, particularly free boundary problems. His research shows progression from classical PDE theory toward more stochastic and probabilistic approaches, as evidenced by his work on internal DLA. The publications demonstrate interdisciplinary connections between mathematical analysis, probability theory, and mathematical physics, with applications ranging from geometric measure theory to quantum mechanics. Professor Jerison is actively involved in teaching and mentoring at MIT. He has taught courses including Differential Equations (18.03), Fourier Analysis and Applications (18.103), and Differential Analysis (18.155). He also directs the Summer Program for Undergraduate Research (SPUR), which is exclusively for MIT undergraduates, and organizes the mathematics section of the Research Science Institute (RSI) for high school students. His teaching materials are available through MIT's Open Courseware platform, indicating his commitment to educational outreach and accessibility.

Rishab Goyalمشاهده پروفایل

استادیار

• Cryptography
• Computer Security
• Theoretical Computer Science
• +۴ مورد دیگر

Rishab Goyal is an Assistant Professor in the Computer Sciences Department at the University of Wisconsin-Madison , affiliated with the School of Computer, Data & Information Sciences . His research spans Cryptography , Computer Security , and Theoretical Computer Science , with a focus on post-quantum cryptography , lattice-based systems , and the policy implications of advanced cryptography . Research interests include secure systems with advanced capabilities and cryptographic proof systems. Teaching graduate and undergraduate courses in cryptography and theoretical computer science. His work on functional encryption , traitor tracing , and obfuscation has been published in top venues like CRYPTO, STOC, and FOCS. He has served on program committees for EUROCRYPT, TCC, PKC, FOCS, and ASIACRYPT. Scientific Awards : Invited to STOC 2018 special issue in SIAM Journal on Computing. Rishab collaborates with PhD students including Jiaqi Cheng , Abtin Afshar , and Saikumar Yadugiri , and hosts visiting researchers from institutions like GMU and IIT Madras.

Judy Hartمشاهده پروفایل

دانشیار

• Renewable Energy Materials
• Photocatalysis
• Solar Cells
• +۵ مورد دیگر

Associate Professor Judy Hart is a materials scientist at the School of Materials Science & Engineering, UNSW Sydney , specializing in the development of semiconducting materials for renewable energy applications. Her work integrates computational (DFT) and experimental approaches to understand composition-property relationships in systems like solid solutions , heterostructures , and doped materials for photocatalysis and solar cells . She leads projects funded by ARC Discovery and Linkage grants , including work on photo-electro-catalysis systems and stabilizing ceramic materials . Education: PhD in Materials Engineering (Monash University, 2007), BEng (Materials) (Monash, 2002) Professional Experience: Senior Lecturer (UNSW, 2017–), Lecturer (UNSW, 2013–2017), University of Bristol (2007–2012) Research Interests Her research focuses on designing materials for renewable energy , particularly photoelectrochemical water splitting and organic oxidation reactions . Key areas include Density Functional Theory (DFT) , defect engineering , band gap tuning , and nanostructured materials . She investigates ferroelectric polarization effects , metal oxide heterostructures , and stability of battery components , with applications in hydrogen production , CO2 conversion , and advanced battery materials . Scientific Awards Ramsay Memorial Fellowship (University of Bristol, 2007–2009) Teaching Contributions She is co-author of the 1st Australian & New Zealand edition of "Materials Science and Engineering: An Introduction" , and teaches courses on computational materials science , corrosion-resistant surfaces , mechanical behavior of metals , and materials design .

Lionel Levineمشاهده پروفایل

استاد

• Applied Mathematics
• Combinatorics and Discrete Geometry
• Probability and Statistics
• +۴ مورد دیگر

Lionel Levine is a Professor in the Department of Mathematics at Cornell University, affiliated with the College of Arts and Sciences. His academic research focuses on abelian networks, interacting particle systems, and the emergence of complex patterns from simple rules. He has held prestigious fellowships, including the Simons Fellowship and Sloan Research Fellowship, and has been honored with an endowed professorship. Levine's work bridges probability theory, combinatorics, and statistical physics, with notable contributions to the study of sandpile models and internal diffusion-limited aggregation (IDLA). Education: Ph.D. in Mathematics (2007), University of California, Berkeley. Research Interests: Applied Mathematics, Combinatorics, Probability, Abelian Networks, Sandpile Models, and their intersections with computer science and statistical physics. His research explores how local rules generate large-scale structures, such as in abelian networks and sandpile models. Awards and Honors: Simons Fellowship, Sloan Research Fellowship, Endowed Professorship in the College of Arts and Sciences. Teaching: Courses include Probability Theory (MATH 6710/6720), Topics in Probability: Math for AI Safety (MATH 7710), and undergraduate mathematics courses like Strategy, Cooperation, and Conflict (MATH 1340). Grants and Funding: Supported by the National Science Foundation (NSF), Simons Foundation, Sloan Foundation, and Institute for Advanced Study. Collaborations: Collaborates with prominent researchers such as Yuval Peres, Cris Moore, and Jim Propp. His work has been published in leading journals like the Annals of Probability and Duke Mathematical Journal. Future Work: Continues investigating AI safety, causal models, and multi-agent learning, including research on mathematical frameworks for transformer circuits and hidden incentives in AI systems.

• Lattice-Based Cryptography
• Post-Quantum Cryptography
• Cryptographic Protocols
• +۵ مورد دیگر

Ron Steinfeld is an Associate Professor at the Cybersecurity Lab of the Faculty of Information Technology , Monash University . His research focuses on lattice-based cryptography , post-quantum cryptographic protocols , and privacy-preserving technologies . He has contributed to advancements in secure multiparty computation , digital signatures , and blockchain confidentiality . Key areas: Lattice-Based Cryptography, Zero-Knowledge Proofs, Blockchain Security Recent work trends: Quantum-safe protocols, Efficient sampling algorithms, Scalable blockchain solutions Scientific Awards : BEST PAPER AWARD (ASIACRYPT 2015) He has served on program committees for major conferences including CRYPTO , EUROCRYPT , and ASIACRYPT . Ron is a member of the Discrete Mathematics Research Group and has collaborated with institutions like Macquarie University in the past.

• Nanobiotechnology
• Biophysics
• Colloid and Interface Science
• +۴ مورد دیگر

Assoc. Prof. Dietmar Pum is a leading researcher at the Institute of Biophysics, University of Natural Resources and Life Sciences, Vienna (BOKU). With a career spanning over three decades, he has pioneered work on S-layer proteins as nanobiotechnological tools and biomimetic surface functionalization. His research bridges microbiology, biophysics, and nanomaterials science. Education & Career Doctorate (1984) and Habilitation (1992) at Vienna University of Technology Awarded FEBS (1987) and EMBO (1982) fellowships Assoc. Univ. Prof. since 1997, Deputy Head of Biophysics Institute since 2014 Research Focus Dr. Pum's work centers on leveraging S-layer proteins for nanoscale fluid mechanics , molecular imprinting , and biohybrid materials . His projects explore: Self-assembly of 2D protein crystals Functionalization of carbon nanotubes Biomimetic sensor development Applications in diagnostics and environmental technology Publication Trends His recent publications (2025-2019) highlight interdisciplinary advancements in: Nanoscale biofluid dynamics Gold nanoparticle synthesis via microbial enzymes Archaeal S-layer characterization Protein-directed nanomaterials Biosensor platforms Lipid quantification via machine learning Scientific Recognition Philip Morris Research Prize (1998) Cardinal Innitzer Prize (1992) ÖAGM Prize (1986) Peer reviewer for Nature Materials , Advanced Materials , and Biophysical Journal Advising & Collaborations Dr. Pum has supervised over 15 theses, mentoring students in topics ranging from Caenorhabditis elegans imaging to nanomembrane fabrication. He leads international collaborations under EU Horizon and FWF grants, including the Stimuli Responsive Materials project (2020-2025). Labs & Networks As a core member of BOKU's Center for NanoBiotechnology and the Ludwig Boltzmann Institute for Molecular Nanotechnology , he develops bioinspired nanomaterials and contributes to global programs in molecular self-assembly.

Elchanan Mosselمشاهده پروفایل

استاد

• Probability Theory
• Combinatorics
• Machine Learning
• +۴ مورد دیگر

Elchanan Mossel is a Professor of Mathematics at the Massachusetts Institute of Technology (MIT), with a joint appointment at the Institute for Data, Systems, and Society (IDSS). His research focuses on probability, combinatorics, statistical inference, and their applications to computer science and social choice theory. He earned his B.Sc. from the Open University of Israel, and both his M.Sc. (1997) and Ph.D. (2000) in Mathematics from the Hebrew University of Jerusalem. Before joining MIT in 2016, he was a faculty member at UC Berkeley and held visiting positions at the Weizmann Institute and the Wharton School of the University of Pennsylvania. Mossel's work bridges theoretical foundations and applied problems, including computational complexity, randomized algorithms, Markov random fields, and evolutionary biology. He has made significant contributions to the theory of social choice, game theory, and the mathematical underpinnings of machine learning. Notable achievements include resolving the Majority Is Stablest conjecture and advancing phylogenetic reconstruction methods. His awards include the Sloan Fellowship and Miller Fellowship. He has mentored numerous graduate students, including Sebastien Roch, Allan Sly, and Miklos Racz, and has held editorial roles in journals like the Electronic Journal of Probability . Mossel's teaching spans topics from introductory probability to advanced courses on social networks and game theory.

Martin Albrechtمشاهده پروفایل

استاد

• Lattice-based cryptography
• Post-quantum cryptography
• Applied cryptography
• +۳ مورد دیگر

Martin Albrecht is a Professor of Cybersecurity and Chair of Cryptography in the Department of Informatics at King's College London, Faculty of Natural, Mathematical & Engineering Sciences. He is also a Principal Research Scientist for SandboxAQ, demonstrating his strong industry-academia connections in the cybersecurity field. His research focuses on lattice-based cryptography, post-quantum cryptography, applied cryptography, social foundations of cryptography and information security, and computational mathematics. Albrecht's work bridges theoretical cryptography with practical security concerns, examining cryptographic implementations 'in the wild' and addressing vulnerabilities in widely used communication platforms like WhatsApp, Telegram, and Matrix. His Erdős–Bacon Number is 6, reflecting his interdisciplinary connections. Recent publications reveal a strong trend toward practical cryptographic analysis of real-world systems while advancing theoretical foundations of post-quantum cryptography. His work spans from breaking end-to-end encryption implementations to developing new lattice-based cryptographic primitives resistant to quantum computing threats. Much of his recent research addresses the urgent need for quantum-resistant cryptography as demonstrated by his European-funded project developing algorithms to protect data encryption against future quantum computers. IEEE Symposium on Security and Privacy distinguished paper award (2023) for work revealing security vulnerabilities in popular chat platforms Major European funding (2023) for advancing encryption technology against quantum computing threats Professor Albrecht leads the Cybersecurity research group at King's which studies design, modeling, analysis, verification and testing of networks and systems, and is part of the Security Hub that consolidates security-related research. His work has demonstrated critical vulnerabilities in widely used platforms including WhatsApp, Matrix, and Nextcloud, with findings reported as recently as July 2025 regarding WhatsApp's persistent vulnerabilities. He has supervised numerous PhD students and maintains active collaborations across the cryptographic research community. Through his open-source projects including FPLLL, FPyLLL, G6K, Lattice Estimator, M4RI, and M4RIE, Albrecht has made significant contributions to the cryptographic tools ecosystem, providing researchers and practitioners with essential resources for lattice-based cryptography and computational mathematics.

• Materials Science
• Finite Element Analysis
• Mineral Processing
• +۷ مورد دیگر

Ali Karrech is a Professor at the University of Western Australia (UWA), affiliated with the School of Engineering and the Department of Civil, Environmental and Mining Engineering (CEME). He previously held roles as Senior Research Scientist at CSIRO (until 2012) and Assistant Professor at the Petroleum Institute of Abu Dhabi (2007–2009). His expertise spans materials science, geomechanics, mineral processing, and sustainable resource engineering. He serves as Graduate Research Coordinator in CEME and has led the Structures Laboratory (2015–2016). Education: He holds a Higher Doctorate (Habilitation) in Engineering Sciences from École Normale Supérieure Paris-Saclay (2014), a PhD in Structures and Materials from École des Ponts ParisTech (2008), and a Multidisciplinary Master's from Tunisia Polytechnic School (2001). Research Interests: Focus on computational geomechanics, resource engineering (surface mining, in-situ leaching), mineral processing (hydrometallurgy), waste repurposing, and thermal-hydraulic-mechanical-chemical coupling. His work aligns with UN Sustainable Development Goals related to education, energy, and the built environment. Awards: Recognitions include the School of Engineering Teaching Excellence Award (2021), Prize of Best Paper in Concrete Research (2021), and CEEC High Commendations (2023). His research has produced over 194 publications and 20 grants. Teaching: Coordinates units like Engineering Materials (ENSC1004), Finite Element Method (GENG5514), and Surface Mining (MINE4503). Engages in interdisciplinary projects, including the ARC Training Centre in Critical Resources and the FBI-CRC for Future Batteries.

Robert MacKayمشاهده پروفایل

استاد

• Dynamical Systems
• Mathematical Physics
• Complexity Science
• +۳ مورد دیگر

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.

Cyrus K. Aidunمشاهده پروفایل

استاد

• Fluid Mechanics
• Bioengineering
• Renewable Bioproducts
• +۵ مورد دیگر

Cyrus K. Aidun serves as a Professor in the Woodruff School of Mechanical Engineering within the College of Engineering at Georgia Institute of Technology. His academic journey includes significant leadership roles, having joined Georgia Tech in 1988 as an Assistant Professor at the Institute of Paper Science and Technology before becoming a full Professor in 2003 after serving as a program director at the National Science Foundation. Dr. Aidun's educational background includes a Ph.D. from Clarkson University (1985), M.S. from Rensselaer Polytechnic Institute (1980), and B.S. from Rensselaer Polytechnic Institute (1978). Prior to his current position, he held research positions at Battelle Research Laboratories, Cornell University as a Postdoctoral Associate, and the National Science Foundation's Supercomputer Center at Cornell. His research spans fluid mechanics, bioengineering, renewable bioproducts, and industrial decarbonization, with particular emphasis on cellular blood flow dynamics and applications to cardiovascular diseases. Dr. Aidun pioneered the Lattice-Boltzmann method for suspension hydrodynamics, enabling advanced computational analysis of deformable particle/fiber suspensions. His work bridges fundamental physics with engineering applications, including blood cell transport interactions with glycoproteins, platelet margination, thrombus formation, and plant somatic embryogenesis for clonal propagation. His recent publications demonstrate strong focus on computational hemodynamics, particularly blood flow in cardiovascular systems and mechanical heart valves, with emerging work on industrial decarbonization through process modifications. This research portfolio shows consistent evolution from fundamental fluid dynamics to targeted biomedical and industrial applications. Dr. Aidun has received significant recognition including: National Science Foundation Presidential Investigator award Gunnar Nicholson Fellowship International Society of Coating Science and Technology's L. E. Scriven award His research is supported by major funding from the Department of Energy and industrial collaborators, particularly for decarbonization projects. Dr. Aidun holds multiple patents related to plant propagule devices and somatic embryo processing, demonstrating translational impact from his research. His laboratory focuses on developing novel computational methods for direct numerical simulation of suspension hydrodynamics, biotransport, and whole blood flow, with applications spanning cardiovascular medicine and renewable bioproducts engineering.

Shun-ichiro Karatoمشاهده پروفایل

استاد

• Earth and Planetary Sciences
• Geophysics
• High-Pressure Materials Science
• +۳ مورد دیگر

Shun-ichiro Karato is a Professor of Earth & Planetary Sciences at Yale University, affiliated with the Department of Geology and Geophysics. His research focuses on high-pressure materials science, mantle dynamics, and planetary evolution. He leads experimental studies using advanced facilities like the 1000-ton Kawai-type Multi-anvil Apparatus and field-emission SEM with EBSD for microstructural analysis. Education: PhD in Geophysics, University of Tokyo, 1977 MSc in Geophysics, University of Tokyo, 1974 BSc in Geophysics, University of Tokyo, 1972 His research interests include water distribution in planetary interiors, deformation mechanisms of mantle minerals, and the role of volatiles in Earth’s dynamics. He collaborates across disciplines to integrate experimental, theoretical, and observational approaches. Recent work explores hydrogen dissolution in bridgmanite, mantle rheology under high pressure-temperature conditions, and the implications of seismic anomalies for mantle structure. Labs/Facilities: Karato oversees cutting-edge facilities enabling high-pressure/temperature experiments, including rotational Drickamer apparatuses and synchrotron-based deformation studies. These tools support investigations into phase transitions, deformation mechanisms, and melt localization in the mantle. Teaching: Teaches courses like Introduction to Earth Materials (G&G 319/519), Deformation of Earth Materials (G&G 450/650), and Seminar on Mantle and Core Geophysics (G&G 744).

Jean-Jacques Heringsمشاهده پروفایل

استاد

• Game Theory
• Microeconomics
• Networks
• +۴ مورد دیگر

Jean-Jacques Herings is a Full Professor of Quantitative Microeconomics at Tilburg University's Tilburg School of Economics and Management (TiSEM), specifically within the Department of Econometrics and Operations Research. He has held this position since March 2022, having previously been a Professor of Economics at Maastricht University from September 1999 to February 2022. Herings' research focuses on five primary themes: Cooperative game theory, non-cooperative game theory, networks, general equilibrium theory, and equilibrium computation. His work spans theoretical foundations and practical applications, particularly in financial networks, matching markets, and strategic decision-making. He has published over 200 research outputs including articles in top journals such as Econometrica, Journal of Economic Theory, Management Science, and Mathematics of Operations Research. His recent publications reveal a continued focus on game-theoretic applications to economic problems, with particular attention to financial networks, bankruptcy problems, matching theory, and information design. There's a clear trend toward computational methods for finding equilibria and increasingly sophisticated modeling of strategic interactions in networked environments, with over 13 publications in 2024 alone demonstrating his active research program. Johannes Cornelis Ruigrok Prize (1997) Lionel W. McKenzie Prize (2008) VICI grant from NWO Fellow of the Game Theory Society (2017) Secretary-Treasurer of Game Theory Society (2014-2022) Fellow of the Society for the Advancement of Economic Theory (2019) As an advisor, Herings has supervised over 20 PhD students to completion, with research spanning game theory applications in economics, finance, and network theory. His editorial service includes membership on the boards of Games and Economic Behavior, Journal of Mathematical Economics, International Journal of Game Theory, and Mathematics of Operations Research. He also serves on the International Advisory Board of the Center for Mathematical Research in Economics and Finance at the University of Manchester.

• Mathematical Economics
• Microeconomic Theory
• Game Theory
• +۲ مورد دیگر

Niccolò Urbinati is a Researcher (RTT) at the Department of Economics of Ca' Foscari University of Venice . He holds a PhD in Economics (2020) and has previously served as a Research Fellow at the same university and as a Researcher (RtdA) at the Department of Economics and Statistics, University of Naples 'Federico II'. His research focuses on Mathematical Economics and Microeconomic Theory . PhD in Economics (University of Naples 'Federico II', 2020) Master's Degree in Mathematics (University of Udine, 2016) Bachelor's Degree in Mathematics (University of Udine, 2013) His research explores the mathematical foundations of economic equilibrium through techniques like vector measure theory, bargaining sets, and repeated rational expectations models. Recent work includes contributions to market allocation mechanisms and coalition theory in large economies. Scientific recognition includes the AMASES Award (2020) and STAR Program funding (2018). He has taught advanced mathematics courses in doctoral programs at the University of Naples and undergraduate economics courses at Ca' Foscari University. His publications appear in journals like Economic Theory and Journal of Mathematical Economics , alongside working papers from institutions such as the CSEF Center for Studies in Economics and Finance .