جست‌وجوی استاد و پژوهشگر

Jason Liمشاهده پروفایل

استادیار

• Fast Graph Algorithms
• Algorithm Design
• Minimum Cut Problems
• +۶ مورد دیگر

Jason Li is an Assistant Professor in the Department of Computer Science at Carnegie Mellon University's School of Computer Science. He teaches advanced algorithms courses including 15-754 Spectral Graph Theory (Spring 2025), 15-451 Design and Analysis of Algorithms (Fall 2024), and 15-850 Advanced Algorithms (Spring 2024). His research focuses on fast graph algorithms , particularly solving longstanding open problems through modern algorithmic techniques. Key research themes include preconditioning and locality , which serve as reductions from worst-case to well-behaved and local instances respectively. His work has produced breakthroughs in deterministic global minimum cut algorithms, all-pairs minimum cut (Gomory-Hu trees), and near-optimal parallel shortest path algorithms. Analysis of his recent publications reveals a consistent trend toward almost-linear time algorithms for fundamental graph problems, with significant contributions to dynamic graph algorithms, minimum cut variants, and parallel computation. His work frequently appears in top venues including STOC, FOCS, and SODA, often with multiple best paper recognitions. EATCS Distinguished Dissertation Award (2021) Best Paper Award at SODA 2024 Invited to HALG 2024 Invited to TALG and JACM for SODA 2024 paper Machtey Best Student Paper at FOCS 2019 Professor Li actively advises graduate students including Henry Fleischmann and George Li. His research is supported by collaborations with leading institutions and frequent invitations to present at major conferences. He maintains an open-door policy for CMU students and collaborators, though notes the high volume of research inquiries he receives weekly.

Klavs F. Jensenمشاهده پروفایل

استاد

• Materials Science
• Chemical Engineering
• Machine Learning
• +۴ مورد دیگر

Professor Klavs F. Jensen is the Warren K. Lewis Professor of Chemical Engineering and Professor of Materials Science and Engineering at MIT. His research focuses on integrating automation, machine learning, and robotics to accelerate materials discovery and pharmaceutical synthesis. He leads the Jensen Research Group, pioneering automated reaction systems with online analytics and optimization algorithms. Education: MS in Chemical Engineering (Technical University of Denmark, 1976); PhD in Chemical Engineering (University of Wisconsin, 1980). Research Interests: Thermochemistry, electrochemistry, photochemistry, Bayesian optimization, high-throughput experimentation, and AI-driven synthesis planning. He collaborates with MIT’s Machine Learning for Pharmaceutical Discovery Consortium to develop algorithms for drug development and process chemistry. Awards: Member of National Academy of Sciences (2017), Member of National Academy of Engineering (2002), Fellow of the American Association for the Advancement of Science (2007), and Fellow of the National Academy of Inventors (2022). Grants & Labs: Editor-in-Chief of Reaction Chemistry and Engineering ; holds 63 US patents and over 490 journal articles. His lab’s innovations include ASKCOS (open-source synthesis planning software) and automated platforms for closed-loop molecular discovery.

Peng Xiongمشاهده پروفایل

استاد

• Mesoscale Physics
• Spintronics
• Organic/Solid-State Hybrid Structures
• +۱ مورد دیگر

Peng Xiong is a Professor in the Department of Physics at Florida State University, with a research focus on electron and spin transport in low-dimensional quantum materials. He is affiliated with the Integrative NanoScience Institute (INSI) and has made significant contributions to mesoscale physics, spintronics, and organic/solid-state hybrid systems. B.S. in Physics (1987, University of Science and Technology of China) Ph.D. in Physics (1993, Brown University) Postdoctoral Fellowship (1993-1997, University of California at San Diego) Research Interests: Mesoscale Physics: Quantum phase transitions and fluctuation effects in 2D and 1D systems, semiconductor nanowires, carbon nanotubes, and nano-magnetism. Spintronics: Spin-polarized transport in hybrid structures (ferromagnet/normal metal, ferromagnet/superconductor, ferromagnet/semiconductor), magnetic semiconductors, and spin injection/detection. Organic/Solid-State Hybrids: Nanoscale biosensors utilizing magnetic and electrical principles, bio-mechanical devices, organic/solid interfaces, and template-directed nanostructure self-assembly. Publication Trends: His recent work spans superconducting fluctuations in ultrathin films, chirality-induced spin transport in semiconductors, interplay between structural chirality and spin-orbital effects, ion migration dynamics in 1D hybrids, quantum interference in nanowire loops, and modulation of nanomaterial properties through surface defect engineering. These studies often combine material synthesis, nanofabrication, cryogenic transport, and tunneling measurements. Scientific Recognition: Alfred P. Sloan Research Fellowship (1998) University Teaching Award (2003) PAI Award for Excellence (2004) Developing Scholar Award (2007) Fellow of the American Physical Society (2012) Advising Legacy: He has mentored numerous graduate students including Jeffrey Parker (Ph.D. 2003) Yongqing Li (Ph.D. 2003) Tianhan Liu (Ph.D. 2021) Jacob Hudis (Ph.D. 2021) and continues to guide current candidates like Yuwaraj Adhikari and Zhenqi Hua. Experimental Facilities: The lab at FSU features advanced equipment for nano-fabrication, including clean rooms, mask aligners, and thin film deposition systems. Cryogenic capabilities extend to dilution refrigerators (15 mK) and He3/He4 cryostats for ultralow-temperature studies of magnetic and superconducting systems.

Lawrence C. Washingtonمشاهده پروفایل

استاد

• Number theory
• Cyclotomic fields
• Elliptic curves
• +۵ مورد دیگر

Lawrence C. Washington is a Professor of Mathematics at the University of Maryland, College Park . His office is located in Mathematics Building 1105, and he can be reached at lcw@math.umd.edu . Teaching & Courses: In Spring 2023 he is teaching Cryptography 456 (TuTh 11:00–12:15) and co-organising the Algebra Seminar (MW 2–3). Office hours are held Tuesdays 1:30–2:30 and Thursdays 10:00–10:50. Research Interests: His work centres on number theory , with particular emphasis on cyclotomic fields , elliptic curves , cryptology , and Iwasawa theory . He has made extensive contributions to the study of p-adic L-functions , class groups , heuristics for class numbers , and the arithmetic of elliptic curves, often bridging deep theoretical questions with computational investigations. Textbooks & Scholarly Output: Washington is the author of several widely-used textbooks: Introduction to Cryptography with Coding Theory (3rd ed.) Introduction to Cyclotomic Fields Elliptic Curves: Number Theory and Cryptography An Introduction to Number Theory with Cryptography (2nd ed.) Elementary Number Theory Recent Publication Trends: Over the past five years his papers have focused on heuristics for Iwasawa invariants , anti-cyclotomic extensions , class groups of real cyclotomic fields , and analytic estimates for sums of prime powers . The work is characterised by a synthesis of algebraic, analytic, and computational techniques, frequently yielding explicit examples and numerical data that inform broader conjectures in algebraic number theory. Extracurricular Interests: Outside mathematics, Washington enjoys running and playing the bassoon , and he maintains a light-hearted page devoted to his favourite intersection in Chevy Chase, MD. Advising & Grants: While the provided text does not enumerate individual students or specific grants, his extensive publication record and long-standing professorship indicate ongoing supervision of graduate research and participation in funded projects in number theory and cryptography.

Chris De Saمشاهده پروفایل

دانشیار

• Machine Learning
• Distributed Systems
• Optimization Algorithms
• +۵ مورد دیگر

Chris De Sa is an Associate Professor in the Department of Computer Science at Cornell University, affiliated with the Cornell Machine Learning Group and leading the Relax ML Lab. His research focuses on algorithmic, software, and hardware techniques for high-performance machine learning, particularly relaxed-consistency stochastic algorithms like asynchronous and low-precision stochastic gradient descent (SGD). He earned his Ph.D. from Stanford University under advisors Kunle Olukotun and Chris Ré. His work emphasizes constructing efficient, parallel, and distributed machine learning frameworks for deep learning and data analytics. Education: Ph.D. in Computer Science, Stanford University (2017) Research Interests: Algorithmic techniques for scalable ML, quantization, distributed optimization, hyperbolic geometry in ML, and reliable measurement of ML systems. His group develops frameworks for efficient inference/training and explores the intersection of ML with domains like agriculture and plant science through courses like PLSCI 7202. Recent Highlights: DARPA YFA Grant (2024), NSF CAREER Award, Google Research Scholar Award, and multiple best paper recognitions. Key contributions include QuIP quantization methods, Coneheads attention mechanisms, and theoretical advances in decentralized training. Awards: NSF CAREER Award DARPA YFA Grant (2024) Google Research Scholar Award Mr. & Mrs. Richard F. Tucker Teaching Award Grants & Advising: Advises 8 Ph.D. students (including Ruqi Zhang, Yucheng Lu, A. Feder Cooper) and holds leadership roles in MLSys conferences. Active in grant-funded research (e.g., NSF Robust Intelligence). Labs/Teams: Leads the Relax ML Lab and participates in Cornell’s Institute for Digital Agriculture (CIDA).

• Fast graph algorithms in different computation models
• Robust algorithms against adaptive adversaries
• Continuous optimization for combinatorial problems
• +۳ مورد دیگر

Thatchaphol Saranurak is an Assistant Professor at the University of Michigan , specifically in the Computer Science and Engineering Division . Prior to this, he earned his PhD in Computer Science from KTH Royal Institute of Technology in 2018 under Danupon Nanongkai , followed by a postdoctoral research assistant professorship at Toyota Technological Institute at Chicago (2018-2020). Research Focus : His work bridges fundamental problems in graph theory, including Dynamic graph algorithms for max-flow and min-cut Expander graph decompositions and their applications Robust algorithms against adaptive adversaries Continuous optimization for combinatorial problems Scientific Contributions : He has made breakthroughs in deterministic graph algorithms, notably improving vertex connectivity bounds, developing near-linear time Gomory-Hu trees, and advancing dynamic matching algorithms. His research has been recognized by Sloan Research Fellowship NSF CAREER Award Presburger Award 2023 Teaching : He teaches courses like Expander and Graph Algorithms and Introduction to Algorithms (Winter 23, Winter 25). His lecture videos and notes are publicly available. Collaborations : He works with leading researchers including Sayan Bhattacharya , Joakim Blikstad , and Jason Li , with affiliations to institutions like TTIC , KTH , and SODA conferences.

Jonathan Santoمشاهده پروفایل

استاد

• Developmental Psychology
• Peer Relations
• Child and Adolescent Development
• +۳ مورد دیگر

Jonathan Santo is a Professor of Psychology at the University of Nebraska at Omaha (UNO), where he serves as Director of the Graduate Developmental Psychology Program and as a faculty member in the Office of Latino/Latin-American Studies. His research explores peer relations, cultural differences in self-esteem, and classroom-level influences on child and adolescent development, with a focus on improving school environments and fostering positive social interactions. ORCA Faculty Fellow His research spans broad areas including Developmental Psychology , Social Support Systems , and Cross-Cultural Peer Dynamics , with specific attention to peer victimization , self-continuity , school climate , and developmental trajectories in Brazilian and Colombian youth . Recent publications analyze topics like hikikomori experiences , friendship security , and HPA axis dysregulation in adolescents. Scientific awards include the ORCA Faculty Fellow recognition. His work often involves longitudinal assessments of peer relationships cross-cultural comparisons (Brazil, Colombia, China, Nigeria, Singapore, U.S.) policy-focused blog posts on family separations and school interventions

Joerg Wernerمشاهده پروفایل

استادیار

• Materials Chemistry
• Nanomaterials
• Energy Storage
• +۳ مورد دیگر

Joerg Werner is an Assistant Professor of Mechanical Engineering at Boston University's College of Engineering and Core Faculty at the Institute for Global Sustainability (IGS). He holds a PhD in Materials Chemistry from Cornell University and an MS in Chemistry from Johannes Gutenberg University Mainz. His research focuses on mesostructured materials, functional nanomaterials, and energy storage systems, leveraging block copolymer self-assembly and microfluidics to design advanced materials. He leads the Mesostructured Materials and Devices Lab, exploring hierarchical structures, electrochemical polymers, and sustainable manufacturing. Research Interests: Werner’s work spans 3D nano-interdigitated batteries , mesostructured architectures , and dynamic microcapsules . Key areas include energy storage applications, phase separation of complex fluids, and nanoconfined synthesis. His group develops sustainable templates for nanomaterials and electrochemically active polymers for thin films on 3D substrates. Publications Trends: Recent work emphasizes electrode architectures (e.g., low-tortuosity electrodes), responsive microcapsules , and self-assembly-driven superconductors . Collaborations with labs like Harvard and industry partners highlight applied energy solutions. Funding & Labs: Current grants support projects on mesohybrids and architected electrodes. The MeMaD Lab collaborates on projects like PANDA (self-driving lab for polymer films) and advanced battery designs. Patents include solid-state battery assemblies and mesoporous carbon materials.

Jack M. Beermannمشاهده پروفایل

استاد

• Administrative Law
• Civil Rights
• Federal Courts
• +۱۲ مورد دیگر

Jack M. Beermann is the Philip S. Beck Professor of Law and Harry Elwood Warren Scholar at Boston University School of Law, where he has been a full-time faculty member since 1984. He teaches Administrative Law, Civil Rights Litigation, and Constitutional Law, and his scholarship has profoundly influenced debates on agency deference, presidential transitions, and civil rights enforcement. His educational background includes a BA with distinction from the University of Wisconsin and a JD with honors from the University of Chicago. He clerked for Judge Richard Cudahy on the Seventh Circuit before joining BU Law. Beermann’s research centers on administrative law, civil rights, and federal courts. He is a leading critic of the Chevron deference doctrine, advocating for a return to the Skidmore standard. His work spans topics such as midnight rulemaking, public pension crises, judicial review, and the constitutional law of presidential transitions. He has also contributed to reforms in Chinese administrative law through academic collaboration. His recent publications (2022–2025) reflect sustained scholarly engagement, particularly on the erosion of Chevron, major questions doctrine, and the future of the administrative state. These works appear in top journals and casebooks, demonstrating his continued influence in legal academia. Harry Elwood Warren Scholar Philip S. Beck Professor of Law Public Member, Administrative Conference of the United States (2017–present) Frequent media commentator on Supreme Court and administrative law Beermann has advised on policy through congressional testimony and ACUS participation. He has held visiting professorships at Harvard, DePaul, and institutions in Israel and China. He remains an active scholar and educator, with courses scheduled into 2026, confirming his ongoing academic role.

Kelly Askewمشاهده پروفایل

استاد

• Socialism/Postsocialism
• Property Rights Formalization
• Land Conflicts
• +۹ مورد دیگر

Kelly Askew is a Professor of Anthropology and Afroamerican & African Studies at the University of Michigan’s College of Literature, Science, and the Arts. She holds a PhD in Anthropology (Harvard, 1997) and a BA in Music and Anthropology (Yale, 1997), with over three decades of fieldwork in Tanzania and Kenya. Education PhD in Anthropology, Harvard University (1997) BA in Music and Anthropology, Yale University Key Roles Chair of the Department of Anthropology Niara Sudarkasa Collegiate Professor Her research bridges three primary domains: Postsocialist transitions (e.g., property rights formalization and land conflicts), art and political aesthetics (e.g., Swahili music, African visual arts, ethnographic filmmaking), and indigenous political movements (e.g., Maasai and Parakuyo pastoralists). She has produced award-winning documentaries like The Chairman and the Lions (2013) and Maasai Remix (2019), which examine cultural resilience and land rights. Scientific awards include being a finalist for the African Studies Association Herskovits Award (2002). Recent publications analyze land dispossession mechanisms, postsocialist cultural production, and media’s role in political identity. She has secured grants from the National Science Foundation, National Endowment for the Humanities, and Ford Foundation.

Nicholas Ruozziمشاهده پروفایل

استادیار

• Machine Learning
• Statistical Inference
• Graphical Models
• +۷ مورد دیگر

Nicholas Ruozzi is an Assistant Professor of Computer Science at The University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. His research focuses on machine learning, statistical inference, and probabilistic graphical models, with applications in virtual reality (VR) training, computer vision, and explainable AI. He has contributed to areas such as tractable probabilistic modeling, activity recognition in videos, and user tracking in VR systems. His work often bridges theoretical foundations with practical applications, such as developing algorithms for data privacy in VR training sessions and enhancing deep learning models through hybrid approaches with graphical models. Recent research trends include exploring multimodal interaction, distributionally robust models, and novel instance detection techniques in computer vision. Ruozzi's publications span topics like user identifiability in VR, predictive task guidance in AR, and systematic analysis of device interactions in VR systems. While no specific awards or grants are listed, his contributions reflect a strong emphasis on interdisciplinary applications of machine learning and probabilistic methods.

Kyle Doudrickمشاهده پروفایل

دانشیار

• Water Treatment
• Emerging Contaminants
• Photocatalysis
• +۷ مورد دیگر

Kyle Doudrick serves as an Associate Professor in the Department of Civil and Environmental Engineering and Earth Sciences at the University of Notre Dame, with his office located in 166 Fitzpatrick Hall of Engineering. His research program bridges environmental engineering and materials science to address critical water quality challenges. Education Ph.D. in Environmental Engineering, Arizona State University (2013) M.S. in Civil Engineering, University of Memphis (2008) B.S. in Civil Engineering, University of Memphis (2006) Research Focus : The Doudrick Lab pioneers physical-chemical treatment technologies targeting emerging contaminants including PFAS, micro/nanoplastics, and oxyanions. His group develops solar-activated photocatalytic systems for water purification and wastewater-to-hydrogen conversion, while investigating fundamental processes in catalytic, adsorptive, thermal, photochemical, and electrochemical treatment. Current work emphasizes understanding contaminant fate in natural and engineered systems through advanced analytical methods. Publication Trends : Recent works (2019-2020) demonstrate a cohesive research trajectory centered on electrochemical and photocatalytic water treatment. Key themes include nanomaterial stability for contaminant degradation, hybrid processes for persistent pollutants like PFOS, and innovative reactor designs such as hydrogel membranes. These publications span environmental engineering, materials chemistry, and sustainable energy conversion, reflecting interdisciplinary approaches to water security challenges. Laboratory Operations : The Doudrick Lab maintains a mission-driven focus on developing cost-effective, scalable solutions that integrate seamlessly with existing water infrastructure. Research activities combine fundamental material science with practical engineering applications, targeting real-world implementation of contaminant removal technologies while advancing scientific understanding of emerging pollutant behavior.

Dimitrios Tsaoulidisمشاهده پروفایل

مدرس ارشد

• Clean Energy
• Process Intensification
• Multiphase Flow Dynamics
• +۶ مورد دیگر

Dimitrios Tsaoulidis is a Senior Lecturer in Chemical Engineering at the University of Surrey and an Honorary Lecturer at University College London . He holds a PhD in Chemical/Nuclear Engineering and a Diploma in Chemical Engineering. University roles: Academic Integrity Officer, Senior Personal Tutor, Disability & Neurodiversity Representative Research spans clean energy (nuclear, bio, solar), healthcare (bioprocess scalability), and manufacturing using process intensification and microfluidics . His work combines experimental investigation , CFD simulations , and scale-up optimization for multiphase reactors . Notable research trends include: 15+ publications (2012–2023) on uranium extraction , biodiesel production , and pharmaceutical microfluidics , with grants from UKRI and Innovate UK . Scientific Awards : David Newton’s Award for Sustainability (UCL) Springer Thesis Award Fellow of the Higher Education Academy (FHEA) Associate Member of the Institution of Chemical Engineers (AMIChemE) Research Collaborations : Academic : Prof Panagiota Angeli (UCL), Prof Eric Fraga (UCL), Dr Maryam Parhizkar (UCL) Industrial : UK Atomic Energy Authority, National Nuclear Laboratory, GSK, Greenergy Ltd, Armfield Dr Tsaoulidis supervises PhD students (e.g., Mustapha Hamdan, Anna Tsitouridou) and PDRA staff (e.g., Dr Jamshid Zarkesh) in projects related to solar energy systems , nuclear fuel cycles , and pharmaceutical automation .

• Environmental Engineering
• Chemical Engineering
• Water Purification
• +۹ مورد دیگر

Menachem Elimelech is a Professor in the Department of Chemical and Environmental Engineering and holds a secondary appointment at the School of the Environment at Yale University. He is a leading researcher in membrane-based water purification technologies, with a strong focus on desalination, wastewater recycling, and colloidal processes in aquatic systems. Department: Chemical and Environmental Engineering School: School of the Environment University: Yale University Email: menachem.elimelech@yale.edu His research spans fundamental and applied aspects of environmental engineering, particularly in developing advanced membranes for water treatment. Key areas include reverse osmosis, electrodialysis, solar-thermal desalination, and molecular-level understanding of transport phenomena in polyamide membranes. The recent publications (2025) demonstrate a strong trend toward molecular simulations, nanostructured membranes, and innovative materials like ceramic-carbon Janus membranes. His work integrates experimental and computational approaches to unravel ion and solute transport mechanisms, aiming to enhance efficiency and selectivity in water purification systems. Colloidal Processes in Aquatic Environments (2008–Present) Environmental Technology and Education (2008–Present) Recycling of Wastewater (2008–Present) Dr. Elimelech is actively involved in interdisciplinary research and collaborates with experts such as John Fortner and Matthew Eckelman. He contributes to the Yale Superfund Research Center and continues to publish in high-impact journals including Science Advances , Nature Communications , and Environmental Science & Technology .

Piotr Zwiernikمشاهده پروفایل

دانشیار

• Statistical Computing
• Theoretical Statistics
• High-dimensional Statistics
• +۷ مورد دیگر

Piotr Zwiernik is an Associate Professor in the Department of Statistical Sciences at the University of Toronto's Faculty of Arts and Science, with a cross-appointment in the Department of Mathematics. Currently on leave from the University of Toronto, he is based in Barcelona following his return in July 2025. His academic journey includes a PhD in Statistics from the University of Warwick (2011), research positions at prestigious institutions including Mittag Leffler Institute, IPAM, TU Eindhoven, UC Berkeley, and the University of Genoa, and an Assistant Professorship at Universitat Pompeu Fabra in Barcelona (2016-2021). His research spans the intersection of statistics, mathematics, and computational methods, with particular emphasis on graphical models, covariance matrix estimation, convex analysis, tensors, and algebraic and combinatorial methods in statistics. Zwiernik's work demonstrates a consistent focus on high-dimensional statistics, mathematical statistics, and elegant theoretical frameworks that bridge abstract mathematics with practical statistical applications. His recent publications reveal a deepening exploration of tensor analysis, algebraic statistics, and the geometric properties of statistical models. Zwiernik serves as an associate editor for leading journals including Biometrika, Scandinavian Journal of Statistics, and Algebraic Statistics. His research program includes the development of the GOLAZO R package for asymmetric regularization of log-likelihood in Gaussian graphical models. As an academic leader, he has served as Associate Chair for Research in his department and actively participates in numerous international conferences and workshops, reflecting his significant standing in the statistical community. His recent publications show a strong trend toward algebraic and geometric approaches to statistical problems, with increasing focus on tensor methods, positivity constraints in statistical models, and the theoretical foundations of graphical models. The work demonstrates remarkable continuity in exploring the mathematical structures underlying statistical models while adapting to emerging challenges in high-dimensional data analysis. Zwiernik is committed to mathematical accessibility and education, guided by Federico Ardila's four axioms which emphasize equitable distribution of mathematical potential, joyful mathematical experiences, mathematics as a malleable tool, and treating every student with dignity and respect. He actively seeks PhD students with strong mathematical backgrounds for research at UPF or the Institute of Mathematics of UPC.