جست‌وجوی استاد و پژوهشگر

• Condensed Matter Physics
• Theoretical Physics
• Spintronics
• +۴ مورد دیگر

Vivek Amin is an Assistant Professor in the Department of Physics at Indiana University. His research focuses on theoretical investigations of condensed matter systems, particularly spintronics and spin-orbit torque mechanisms. He explores how spin and magnetic moments of electrons can be harnessed for information processing and storage, including applications in magnetic memories and neural networks. Education: B.S. in Electrical Engineering, University of Texas at Austin, 2006 Ph.D. in Physics, Texas A&M University, 2014 Research Interests: Spintronics and low-power spintronic devices Spin-orbit torque in materials like topological insulators and ferromagnets Design of spin-based neural networks Quantum materials and their magnetic properties Recent work includes studying interface-generated spin currents and their applications in energy-efficient computing. Awards: None explicitly listed in the provided text. Advising & Grants: No advisees or grants detailed in the text. His research is supported through institutional and collaborative efforts. Labs/Teams: Not specified in the provided materials.

• Mental Health
• Open Dialogue
• Nursing Education
• +۴ مورد دیگر

Andrea McCloughen is an Associate Professor in Mental Health Nursing and Director Academic Education at the Susan Wakil School of Nursing and Midwifery, University of Sydney. She holds a PhD from University of Western Sydney and is a respected researcher and clinician in mental health nursing, with expertise in Open Dialogue, emotion regulation, and healthcare education. Her leadership roles include Director Postgraduate Advanced Studies and Coordinator of Mental Health Nursing programs. She is a Fellow of the Australian College of Mental Health Nurses and Senior Fellow of Advance HE. Education: PhD (UWS), MN (Mental Health) (UWS), BN (UWS) Certifications: Credentialled Mental Health Nurse, Open Dialogue Therapist, Mental Health First Aid Instructor Research focuses on Open Dialogue practices, mental health service innovations, and healthcare student education. Key projects include implementing Open Dialogue in schools and mental health systems, and examining physical health management in mental health populations. Teaching contributions span undergraduate and postgraduate nursing programs, emphasizing recovery-oriented care and advanced practice roles. She has led multiple educational grants totaling over $100k, including innovations in clinical debrief models and cooperative learning with mental health consumers. Awarded over a dozen honors including the Makers and Shapers Award (2023) and multiple Best Paper awards. Supervised 12+ HDR students, with active projects on emergency nursing protocols and Open Dialogue impacts. Collaborates internationally, particularly with Danish researchers on physical health in schizophrenia.

Soumya Beraمشاهده پروفایل

دانشیار

• Theoretical Condensed Matter Physics
• Quantum Simulation
• Topological Phases
• +۴ مورد دیگر

Soumya Bera is an Associate Professor in the Department of Physics at the Indian Institute of Technology Bombay (IIT Bombay). His research focuses on theoretical condensed matter physics, integrating computational approaches to study quantum systems. Key research interests include quantum simulation of novel phases of matter, topological phases, many-body localization, and non-equilibrium dynamics. Current research topics emphasize quantum phase transitions, quantum criticality, and the interplay of topology, disorder, and interactions. His work often explores these themes through quantum information theory and Floquet systems. Notable contributions include studies on disorder-induced delocalization, Chern-Hopf insulators, and Floquet thermalization. Publications span topics like quantum Hall criticality, graphene disorder effects, and many-body localization dynamics. His work frequently appears in high-impact journals like Phys. Rev. B and SciPost Phys., with a focus on disordered systems and quantum critical phenomena. While no explicit awards or grants are listed here, his prolific publication record underscores sustained contributions to condensed matter theory. His research group actively investigates quantum matter under non-equilibrium conditions and topological material properties.

Philip Johnsonمشاهده پروفایل

استاد

• Quantum Computing
• Theoretical Physics
• Condensed Matter Physics
• +۳ مورد دیگر

Philip Johnson is a Professor and Chair of the Department of Physics at American University (AU), where he has been since 2006. He also serves as Director of the Integrated Space Science and Technology Institute (ISSTI), supporting over 20 AU faculty and external partners like NASA's Goddard Space Flight Center. His research focuses on quantum computing, superconducting qubits, ultracold atoms, and effective interactions in few-body systems. He holds a PhD in Theoretical Physics from the University of Maryland and completed postdoctoral work at NIST and the University of Maryland's superconducting quantum computing group. His academic leadership roles include Associate Dean of Research for AU's College of Arts and Sciences and service on the American Physical Society's council. His research explores quantum control, nonequilibrium dynamics, and applications in quantum sensing and metrology. Key areas include ultracold bosons in optical lattices, nonlocal interactions, and hybrid machine learning approaches for quantum systems. He collaborates with institutions like the Joint Quantum Institute and Johns Hopkins Applied Physics Laboratory. Johnson's recent work advances theoretical frameworks for few-atom systems and superconducting qubits, with publications addressing topics like topological properties of interactions and correlations in quantum systems. His contributions span experimental and theoretical physics, emphasizing interdisciplinary applications in space science and technology through ISSTI.

Christina L. Archerمشاهده پروفایل

استاد

• Wind Energy
• Meteorology
• Climate Change
• +۶ مورد دیگر

Christina L. Archer is a Professor at the University of Delaware with dual appointments in the Department of Geography and Spatial Sciences and Mechanical Engineering Department under the College of Earth, Ocean and Environment. Holding the Unidel Howard Cosgrove Career Development Chair in Environment Education , she directs the Center for Research in Wind (CReW) and the Atmosphere and Energy Research Group (AERG) , advising PhD students and postdocs. Her 2004 PhD in Civil and Environmental Engineering from Stanford University and prior academic credentials in meteorology and engineering inform her interdisciplinary research. PhD, Civil and Environmental Engineering, Stanford University (2004) MS, Meteorology, San Jose State University (1998) MS, Civil and Environmental Engineering, Politecnico di Milano (1995) Dr. Archer's research focuses on wind energy and its atmospheric implications, including numerical modeling , climate change , and air quality . Her work spans offshore wind farm optimization, hurricane mitigation, and grid integration, with notable findings on wind turbine wake dynamics and ozone pollution trends. Recent publications highlight her leadership in large-eddy simulations and renewable energy systems , emphasizing environmental sustainability. Editorial Board, Meteorological Applications (Royal Meteorological Society) Associate Editor, Wind Energy Science (Copernicus) Co-Editor, Bulletin of the Atmospheric Science and Technology (AISAM) Her scientific awards include the prestigious Unidel Chair, recognizing her contributions to environmental research. Through projects like IMPOWR and VERTEX, she advances offshore wind integration and atmospheric modeling, with policy impacts on U.S. energy strategies. Dr. Archer's work bridges engineering , climate science , and public health , offering solutions for carbon-free energy systems.

• Materials Science
• Mechanical Engineering
• Grain Boundary Dynamics
• +۷ مورد دیگر

Huck Beng Chew is a Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign (UIUC). His research focuses on materials science, mechanical engineering, and nanocomposite interfaces, with a particular emphasis on grain boundary dynamics, molecular dynamics simulation, and fracture mechanics. He leads studies on advanced materials such as titanium composites, boron nitride nanotubes, and magnesium alloys, investigating their deformation mechanisms, fatigue behavior, and interfacial strengthening. Chew’s work bridges experimental and computational approaches, utilizing techniques like synchrotron X-ray diffraction, molecular dynamics modeling, and physics-informed neural networks. His research addresses challenges in additive manufacturing, fracture toughness, and ion-beam interactions with materials. Collaborations span interdisciplinary fields, including aerospace engineering, plasma physics, and nanotechnology. Notable contributions include studies on cohesive zone laws for fatigue cracks, microvoiding damage modeling, and interfacial mechanics in nanolayered alloys. His work has been published in high-impact journals such as Acta Materialia , Journal of the Mechanics and Physics of Solids , and Materialia . Chew’s research is supported by grants focusing on nanocomposite mechanics and 3D-printed ceramics. His findings advance material design for high-strength applications in aerospace, energy storage systems, and thermal protection materials.

Richard Scalettarمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Phase Transitions
• Superconductivity
• +۵ مورد دیگر

Distinguished Professor of Physics at the University of California Davis College of Letters and Science since 1989. Primary affiliation with the Department of Physics, with significant cross-disciplinary collaborations in Applied Mathematics and Computer Science through NSF and DOE grants. Research focuses on quantum many-body phenomena in condensed matter systems and ultracold atomic gases. Expertise spans magnetism, superconductivity, metal-insulator transitions, and quantum phase transitions. Pioneers advanced Quantum Monte Carlo simulation techniques, particularly determinant quantum Monte Carlo for Hubbard and electron-phonon models. Current work investigates spatial inhomogeneities in quantum phases and strong interparticle interactions. Recent publications reveal growing integration of machine learning with quantum simulation. Research trends indicate deepening exploration of SU(N) symmetric systems, flat-band quasicrystals, photonic quantum simulators, and neural quantum states. Increasing emphasis on interdisciplinary approaches combining condensed matter theory, quantum information science, and computational mathematics. Key methodological focus remains on overcoming fermionic sign problems and developing scalable numerical algorithms. Principal investigator for major grants from the National Science Foundation (NSF), Department of Energy (DOE), Office of Naval Research (ONR), and Defense Advanced Research Projects Agency (DARPA). Significant funding through NSF Information Technology Research and DOE Scientific Discovery through Advanced Computing Programs for quantum simulation algorithm development.

• Quantum Computing
• Quantum Gases
• Atomic Physics
• +۴ مورد دیگر

Servaas Kokkelmans is a Full Professor and leader of the Coherence and Quantum Technology group in the Department of Applied Physics at Eindhoven University of Technology (TU/e). He is also the scientific director of the Center for Quantum Materials and Technology Eindhoven (QT/e) and co-founder of the Eindhoven Hendrik Casimir Institute. His research focuses on strongly-interacting quantum gases, neutral atom quantum computing, and ultracold atomic systems. He holds a PhD from TU/e (2000) after postdoctoral work at JILA (USA) and Laboratoire Kastler Brossel (France). Notable roles include coordinating action line 1 (Research & Innovation) at Quantum Delta NL and leading the KAT-1 project on Rydberg atom quantum computing. Awards include the NWO Vici (2015) and Vidi (2003) grants. Education: MSc (1996) and PhD (2000) in Physics from TU/e. Career progression: Assistant Professor (2004–2017), Associate Professor (2017–2023), Full Professor (2023–present). Key research areas include quantum computing architectures, ultracold collisions, Feshbach resonances, and Efimov physics. Active in teaching courses like Quantum Optics and Quantum Information, and Hybrid Quantum Computing. Research highlights include foundational work on quantum control via electric/magnetic fields and contributions to quantum simulation platforms. His work spans experimental and theoretical studies, with over 249 publications and 51 supervised works. Collaborations involve institutions globally. Media engagements include interviews on quantum technology advancements and leadership roles in national quantum initiatives.

Hadi Salmasianمشاهده پروفایل

استاد

• Lie Groups
• Representation Theory
• Algebra
• +۴ مورد دیگر

Hadi Salmasian is a Full Professor in the Department of Mathematics and Statistics at the University of Ottawa, Faculty of Science. He holds a PhD from Yale University and specializes in Lie groups, Lie algebra representations, and related areas of algebra and mathematical physics. Education: PhD in Mathematics, Yale University Research Interests: Dr. Salmasian's research focuses on representation theory of Lie groups and Lie superalgebras, quantum groups, invariant theory, and applications to mathematical physics. His work explores topics such as Capelli eigenvalue problems, spherical functions on supergroups, and polynomiality of faithful dimensions for nilpotent groups. Recent Research Trends: His publications emphasize the interplay between algebraic structures (e.g., Weyl algebras, quantum homogeneous spaces) and representation-theoretic techniques, with applications to quantum computing and cryptography. Notable themes include classification of dual pairs in Lie supergroups and development of hash functions over finite groups. Awards: No awards explicitly mentioned in the provided texts. Advising & Grants: Supervised students include Manal Al-Zahrani, Mengyuan Cao (co-supervised with Monica Nevins), Dene Lepine, and Mitra Mansoori. Postdoctoral researchers include Ali Assem Mahmoud (co-supervised with Anne Broadbent and Monica Nevins). Research activities involve collaboration with groups in algebra and Lie theory. Labs/Teams: Active in research groups focused on algebra, Lie theory, and representation theory within the Department of Mathematics and Statistics at the University of Ottawa.

Suchuan Dongمشاهده پروفایل

استاد

• Computational and Applied Mathematics
• High-Order Numerical Methods
• Multiphase Flows
• +۷ مورد دیگر

Suchuan Dong is a Professor in the Department of Mathematics at Purdue University , affiliated with the Center for Computational and Applied Mathematics . His work bridges Computational Mathematics and Machine Learning , focusing on High-Order Numerical Methods and Multiphase Flows . Academic Background Post-Doc in Applied Mathematics, Brown University (2004) Ph.D. in Mechanical Engineering, SUNY Buffalo (2001) M.S. in Physics, Zhejiang University (1995) B.S. in Aerospace Engineering, National University of Defense Technology (1992) His research centers on Neural Network-Based Numerical Methods and Data-Driven Scientific Computing , with applications to Computational Fluid Dynamics , Contact Line Dynamics , and High-Performance Computing . Publications highlight Physics-Informed Neural Networks , Energy-Stable Schemes , and Extreme Learning Machines for PDEs. The articles reflect trends in Neural Network Applications to Dynamic PDEs , Phase Field Modeling , and High-Dimensional Computing , often combining High-Order Numerical Methods with Interfacial Phenomena . His recent work focuses on Exact Time Integration Algorithms and Hidden-Layer Concatenation for stability and efficiency. He leads research in the Center for Computational and Applied Mathematics , emphasizing Thermodynamically Consistent Modeling and Flow-Structure Interactions . His teaching includes MA-36600: Ordinary Differential Equations (Spring 2025).

Alan Edelmanمشاهده پروفایل

استاد

• Julia Programming
• High Performance Computing
• Linear Algebra
• +۳ مورد دیگر

Alan Edelman is a Professor at the Massachusetts Institute of Technology (MIT), renowned for his work in high-performance computing, linear algebra, and random matrix theory. He is a co-creator of the Julia programming language, which emphasizes efficiency and versatility for scientific computing. His research integrates mathematics and computer science, focusing on numerical methods, parallel computing, and applications in fields like quantum control and climate modeling. Edelman leads projects such as Oceananigans.jl for geophysical fluid dynamics and Circuitscape for connectivity analysis in conservation biology. His academic contributions span theoretical advancements in matrix theory and practical implementations of computational tools. Edelman collaborates across disciplines, bridging scientific computing with machine learning and quantum physics. His work on differentiable programming frameworks and GPU acceleration has impacted both academic research and industry applications. Key Projects: Julia programming language, Oceananigans.jl, Circuitscape Research Themes: High-performance computing, numerical linear algebra, random matrices, scientific machine learning Affiliations: MIT’s Theory of Computation Community of Research, PI of multiple NSF-funded projects Edelman’s recent work emphasizes interdisciplinary applications, including climate policy modeling and automated materials discovery. His publications reflect a blend of foundational mathematics and cutting-edge computational techniques.

SHEN Leiمشاهده پروفایل

پژوهشگر

• Multiscale Modeling and Simulation
• Materials Informatics
• Computational Physics
• +۳ مورد دیگر

SHEN Lei is a researcher at the National University of Singapore (NUS), affiliated with the Department of Physics. With a PhD in Physics from NUS, he specializes in Multiscale Modeling and Simulation and Materials Informatics , leveraging machine learning and computational methods for advanced materials discovery. Research Focus: Density functional theory, molecular dynamics, finite element analysis, and data-driven design of materials. Teaching: Modules include Mechanics and Waves (PC1433), Applied Quantum Mechanics (PC2130B), and Mechanical Properties of Materials (ESP2109). His work spans spintronics, ferroelectricity, and energy storage materials, with recent publications on interatomic potentials, sliding heterostructures, and battery anodes. He has received the Teaching Commendation Award and declined the Lee Kuan Yew Postdoctoral Fellowship . Notable Trends: Recent articles emphasize machine learning in materials science, van der Waals heterostructures, quantum transport, and medical image analysis. Subfields include Rashba spin-orbit coupling, piezoelectric tensor modeling, and defect-informed neural networks. Scientific Awards: Teaching Commendation Award (AY15/16; AY16/17) Lee Kuan Yew Postdoctoral Fellowship (2014) (declined)

Kai-Min Chungمشاهده پروفایل

پژوهشگر ارشد

• Quantum Cryptography
• Complexity Theory
• Pseudorandomness
• +۳ مورد دیگر

Kai-Min Chung is a Distinguished Research Fellow at the Institute of Information Science (IIS), Academia Sinica, Taiwan. His research focuses on quantum cryptography, complexity theory, and pseudorandomness. Prior to this role, he completed a postdoctoral fellowship at Cornell University (supported by the Simons Foundation) and earned his Ph.D. in computer science from Harvard University under Salil Vadhan. Education Ph.D. in Computer Science, Harvard University (Advisor: Salil Vadhan) Postdoctoral Researcher, Cornell University Research Interests Chung's work bridges quantum computing and cryptography, addressing challenges in secure communication, post-quantum cryptography, and complexity-theoretic foundations. His contributions include groundbreaking results on quantum-resistant protocols, zero-knowledge proofs, and cryptographic primitives resilient to quantum adversaries. Recent research emphasizes the theoretical limits of quantum algorithms and their implications for cryptographic security. Professional Activities Program Committee Chair: Asiacrypt 2024, ITC 2023 Membership on committees for CRYPTO, EUROCRYPT, STOC, FOCS, and others Awards Best Student Paper Award at TCC 2010 Distinguished Paper Award at PLDI 2023 Simons Postdoctoral Fellowship Teaching & Mentoring Chung teaches advanced courses on modern cryptography and advises students in theoretical computer science. He actively recruits postdoctoral researchers and students to his lab, focusing on cutting-edge quantum and classical cryptographic systems.

Marco Farinaمشاهده پروفایل

استاد

• Electromagnetic Fields
• Scanning Probe Microscopy
• Nanotechnology
• +۴ مورد دیگر

Marco Farina is a Full Professor in Electromagnetics at the Department of Information Engineering, College of Engineering, Polytechnic University of Marche, Italy. His research spans electromagnetic modeling, scanning microwave microscopy, and nanotechnology, with applications in 2D materials, biosensors, and advanced measurement systems. He is a Senior Member of IEEE and actively contributes to Technical Committees on RF Nanotechnology. Laurea and Ph.D. in Electronic Engineering from University of Ancona Research interests focus on quantitative scanning microwave microscopy, electromagnetic analysis of active/passive components, and nanoscale characterization techniques. His work bridges theoretical modeling with practical implementation, including the development of the EM3DS software suite and novel inverted SMM systems. Recent publications highlight interdisciplinary applications in biomedical analysis and semiconductor physics. Scientific recognition includes the 3M-Nano Best Conference Paper Award and grants from US Army Research Laboratory and US Air Force Office of Scientific Research. He holds an ESA-funded patent for VNA calibration and has co-authored a book on planar structure analysis. Collaborative projects emphasize RF device optimization and biological imaging.

Vedhus Hoskereمشاهده پروفایل

استادیار

• Image Analysis
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Vedhus Hoskere is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Houston. His research focuses on interdisciplinary areas at the intersection of civil engineering, computer science, and robotics, emphasizing automated infrastructure inspection, machine learning, and AI-driven solutions for structural health monitoring. He holds the Liu Huixian Earthquake Engineering Scholarship (2018) for his work on automated post-earthquake building inspections. Key research areas include image analysis, machine learning, robotics, scientific computing, and visualization. His work integrates computer vision with civil infrastructure challenges, such as flood modeling, structural damage assessment, and autonomous inspection systems using drones and robotics. Notable projects include developing digital twin frameworks for bridges, synthetic environment testing for inspection algorithms, and semi-supervised learning for disaster damage analysis. His recent publications highlight advancements in transformer networks for instance segmentation, physics-informed generative models for damage assessment, and AI-driven hurricane resilience strategies. Hoskere collaborates on platforms like InstaDam for automated damage segmentation and explores Bayesian neural networks for quantifying uncertainties in infrastructure monitoring. Key Awards: Liu Huixian Earthquake Engineering Scholarship (2018) Advising & Labs: While no specific student names or grant details are provided, his research group likely focuses on robotics, computer vision, and AI applications in civil engineering. He contributes to open-source tools like the InstaDam platform and collaborates with institutions like the University of Illinois and USACE.