جستجوی استاد راهنمای دانشگاهی

• Quantum Optics
• Quantum Photonics
• Spintronics
• +۵ مورد دیگر

Dr. Georgy Astakhov is the Head of the Quantum Technologies department at the Helmholtz Center Dresden-Rossendorf (HZDR), leading research in quantum materials and nanophotonics. His work focuses on spin defects in silicon carbide (SiC) and hexagonal boron nitride (hBN), optomechanical systems, and terahertz photonics. He develops quantum emitters, quantum sensors, and data storage solutions based on atomic-scale defects. Astakhov’s research integrates nanofabrication, quantum control, and material science to advance quantum technologies. His research interests include quantum optics, nanophotonics, and spintronics with applications in quantum computing and sensing. Key areas are defect engineering in SiC, optomechanical interactions, terahertz nonlinear effects, and room-temperature quantum phenomena. The group explores novel materials like topological insulators and Dirac materials to enhance quantum device performance. Advising and grants: Dr. Astakhov leads a multidisciplinary team at HZDR, collaborating with international institutions. His work is supported by the Helmholtz Association and DRESDEN-concept initiatives. The Quantum Technologies group at HZDR focuses on translating fundamental research into scalable quantum technologies. Labs/Teams: Director of the Quantum Technologies group within the Institute for Ion Beam Physics and Materials Research at HZDR. His team operates state-of-the-art facilities for nanofabrication, low-temperature measurements, and quantum material characterization.

Farnaz Heidar-Zadehمشاهده پروفایل

استادیار

• Computational Chemistry
• Quantum Chemistry
• Machine Learning Applications in Chemistry
• +۳ مورد دیگر

Farnaz Heidar-Zadeh is an Assistant Professor in the Department of Chemistry at Queen's University, affiliated with the Faculty of Arts and Science. She holds cross-appointments at the Carbon to Metal Coating Institute. Her research integrates computational methods, quantum chemistry, and machine learning to predict chemical phenomena. Key areas include developing ChemTools, an open-source software package for interpreting quantum chemistry data, and adapting machine learning for molecular screening and dynamics simulations. Education: BSc in Pure Chemistry (Shahid Beheshti University), MSc in Physical Chemistry (Shahid Beheshti University and McMaster University), PhD in Theoretical Chemistry and Physics (McMaster University and Ghent University). Research Interests: Quantum chemistry, molecular dynamics, machine learning applications in chemistry, chemical reactivity theory, and software development for computational chemistry. Her group focuses on rigorous mathematical frameworks for empirical chemical concepts and efficient computational tools like ChemTools. Publications highlight contributions to Hirshfeld partitioning, Fukui functions, and software libraries such as Grid and GBasis. Her work addresses challenges in molecular interaction modeling and computational efficiency for large systems.

Kevin Slagleمشاهده پروفایل

استادیار

• Theoretical Quantum Matter
• Quantum Computing
• Quantum Simulators
• +۳ مورد دیگر

Kevin Slagle is an Assistant Professor in the Department of Electrical and Computer Engineering at Rice University. His research focuses on deep learning and emergent phenomena in quantum matter and fundamental physics, including quantum computing, quantum simulators, and neural network architectures. He holds a Ph.D. in theoretical condensed matter physics from the University of California, Santa Barbara (2016) and B.S. degrees in Physics and Mathematics from the University of California, Irvine (2011). Prior to Rice, he was a Postdoctoral Fellow at the University of Toronto and a Sherman Fairchild Postdoctoral Scholar at Caltech. Research Interests Theoretical Quantum Matter — Studying superconductivity, topological orders, and their experimental realizations in quantum simulators (e.g., Rydberg arrays and moiré materials). Quantum Computing — Exploring foundational aspects and applications of quantum computers, including testing quantum mechanics and characterizing noise. Neural Networks — Investigating architecture improvements and their intersections with physics. Publications Trends His recent work emphasizes quantum dynamics simulations using tensor networks, gauge theories in quantum systems, and the interplay between quantum spin liquids and topological phases. He also advances methodologies for testing quantum mechanics on NISQ devices and analyzing noise in quantum hardware. Advising & Grants Dr. Slagle's academic trajectory includes postdoctoral roles focusing on quantum matter and foundational physics. His research has been supported by grants exploring topics such as fracton order, moiré materials, and quantum simulation. He currently advises students in Rice University's Electrical and Computer Engineering department.

Yang Jiangمشاهده پروفایل

استاد پژوهش

• Molecular Modeling
• Biophysics
• Protein Structure & Function
• +۵ مورد دیگر

Yang Jiang is an Assistant Research Professor in the Department of Chemistry at Penn State, working in the O'Brien lab. He earned his B.S. in Applied Mathematics from Beijing University of Chemical Technology (BUCT) in 2012 and his Ph.D. in Chemical Engineering from BUCT in 2018 under Prof. Tianwei Tan's guidance. His research focuses on molecular modeling, biophysics, and protein structure-function relationships, particularly investigating protein folding kinetics and enzymatic activity using multi-scale simulations. His work explores how translation-elongation kinetics influence protein folding and how misfolding mechanisms can be addressed via computational and drug-design approaches. Key research interests include protein misfolding mechanisms, entanglement effects in folded proteins, and the development of computational models for ions and metal cations. His studies often bridge theoretical predictions with experimental validation, such as using limited proteolysis mass spectrometry. He has also contributed to machine-learning applications in biophysical modeling and the rational design of nonbonded charge models for ions. Publications highlight his exploration of protein misfolding intermediates, synonymous mutation effects, and the role of electrostatic forces in ribosomal processes. His work emphasizes understanding how misfolded proteins evade cellular quality control networks and remain soluble, offering insights into therapeutic strategies targeting these phenomena. Collaborations and computational tools developed in his lab advance understanding of protein dynamics and catalytic mechanisms.

Christiaan Bekkerمشاهده پروفایل

پژوهشگر ارشد

• Quantum Physics
• Materials Science
• Photonics
• +۳ مورد دیگر

Christiaan Bekker serves as a Research Fellow at Heriot-Watt University's Institute of Photonics and Quantum Sciences within the School of Engineering & Physical Sciences. His work bridges physics and engineering for quantum technology applications. His research focuses on atomic-scale defects in silicon carbide, specializing in quantum emitters and scalable quantum memory development. Key areas include femtosecond laser fabrication of solid immersion lenses, spectroscopy of quantum systems, and integrated quantum photonics. The fingerprint analysis reveals strong expertise in silicon carbides (100%), solid-state systems (85%), optical lenses (77%), and spin physics (54%). Recent publications demonstrate consistent output from 2014-2025 with accelerated activity in 2025, showing specialization in quantum emitter characterization, nanofabrication techniques, and silicon carbide-based quantum devices. The work spans journal articles, conference proceedings, and preprints with significant open-access availability. Bekker actively supervises PhD students through projects like 'Engineering a scalable quantum memory in silicon carbide' and has contributed to three major datasets supporting quantum research. His collaborations include prominent institutions working on silicon carbide quantum systems and photonics integration. Current research involves quantum sensing applications, ultra-narrow spectral distribution studies of vanadium centers, and real-time adaptive estimation of qubit decoherence. The work maintains strong industry and academic partnerships focused on scalable quantum technologies.

Zafer Mutluمشاهده پروفایل

استادیار

• Nanomaterials Engineering
• Quantum Materials
• Nanoelectronics
• +۷ مورد دیگر

Zafer Mutlu is an Assistant Professor in Materials Science and Engineering and Electrical and Computer Engineering at the University of Arizona, with a joint appointment in Physics. His research focuses on nanoscale and quantum materials, including graphene nanoribbons, carbon nanotubes, and 2D layered materials, emphasizing their synthesis, characterization, and device applications. He earned his PhD in Materials Science and Engineering from UC Riverside (2016) and conducted postdoctoral research at UC Berkeley (2018–2022). Education: PhD: Materials Science and Engineering, University of California, Riverside (2016) MS: Physics, Selcuk University, Turkey (2009) Research interests include design, synthesis, and large-scale integration of nanomaterials for electronics. Notable areas include graphene nanoribbon transistors, charge density wave materials, and topological modes in doped graphene. His work bridges fundamental material science with practical device applications, addressing scalability and reliability challenges. His publications span nanomaterials engineering, with recent emphasis on graphene-based transistor fabrication, bandgap engineering, and quantum effects. No scientific awards are explicitly listed, but his work has been published in top-tier journals. Grants and advising details, labs, and future projects are not detailed in the provided text.

• Corrosion and Interface Chemistry
• Electrochemistry
• Materials Degradation Mechanisms
• +۳ مورد دیگر

Andreas Erbe is a Professor of Corrosion and Interface Chemistry at the Norwegian University of Science and Technology (NTNU), within the Department of Materials Science and Engineering under the Faculty of Natural Sciences. His research focuses on atomic- and molecular-scale mechanisms of materials degradation, particularly using in situ and operando spectroscopic methods like vibrational spectroscopy (IR, Raman) to study electrochemical processes. He also explores applications of data science and machine learning in corrosion and electrochemistry. Education and Background: 2015–Present: Professor at NTNU 2007–2015: Group leader at Max-Planck-Institut für Eisenforschung, Düsseldorf 2006–2007: Postdoc at Academia Sinica, Taipei 2004–2006: Postdoc at University of Leeds, UK 1997–2001: Diploma in Physical Chemistry from Martin-Luther-Universität Halle-Wittenberg Research Interests: His work centers on corrosion mechanisms, electrochemical processes, and interfacial chemistry. He employs advanced spectroscopic techniques to study structural changes at material interfaces. Recent activities integrate data science and AI for predictive corrosion analysis, with applications in sustainable materials and environmental monitoring. Publications: His research spans corrosion mechanisms in metallic alloys, material degradation under environmental stresses, and spectroscopic characterization of interfaces. Notable themes include magnesium alloy corrosion, fused quartz crucible behavior in silicon production, and microplastic impacts on wildlife. His work bridges fundamental electrochemistry with applied materials science. Advising & Labs: He leads a research group at NTNU focusing on corrosion and interface chemistry, emphasizing in situ experimental methods and interdisciplinary approaches. Current projects include studying corrosion under complex environmental conditions and developing AI-driven corrosion prediction tools.

Paul Haljanمشاهده پروفایل

دانشیار

• Quantum Information Science
• Quantum Computing
• Trapped Ion Physics
• +۳ مورد دیگر

Paul Haljan is an Associate Professor in the Department of Physics at Simon Fraser University (SFU). He leads the Haljan Group, focusing on trapped ion quantum technology and quantum information science. His research involves manipulating quantum states of ions in ultra-high vacuum systems to explore quantum phase transitions and develop quantum computing technologies. He holds a B.Sc. (Honors) from the University of Alberta and a Ph.D. from the University of Colorado Boulder/JILA. Research Interests: Ion and atom trapping, quantum phase transitions, quantum information science, and quantum computing. Current projects include studying the quantum linear-zigzag transition in trapped ions, developing 3D Sisyphus cooling techniques, and exploring macrotrap systems for charged particles. Laboratory: Located in the SFU Burnaby campus (SCK9688), the Haljan Lab employs state-of-the-art ion trap setups and optical/microwave systems. Collaborative opportunities exist with Quantum BC and U.S. institutions. Teaching: In Fall 2025, he teaches PHYS 255 (Vibrations and Waves) and PHYS 810 (Advanced Quantum Mechanics). Group Members: Includes Ph.D. candidate Brendin Chow, M.Sc. students Mohammad Reza Mostaan and Meagan Stewart, and B.Eng. student Kais Rejaibi. The lab actively hires postdoctoral researchers and graduate students.

• Machine Learning
• Control Systems
• Computer Vision
• +۳ مورد دیگر

Jian Sun is a researcher affiliated with the Chinese Academy of Sciences' Institute of Computing Technology. His work spans interdisciplinary fields including machine learning, control systems, robotics, and signal processing. He collaborates with institutions globally to advance theoretical and applied research in computational methods and their real-world applications. Research interests focus on machine learning for healthcare diagnostics, optimization algorithms for complex systems, and sensor fusion technologies for autonomous systems. Recent work emphasizes applications in cognitive impairment detection, UAV-based communication systems, and crystal structure prediction. Publications highlight advancements in adaptive control methodologies, cybersecurity in control systems, and 3D reconstruction techniques. His contributions bridge theoretical foundations with practical implementations in robotics, aerospace, and environmental monitoring.

Derk Joesterمشاهده پروفایل

استاد

• Biomineralization
• Materials Science
• Nanostructure Analysis
• +۳ مورد دیگر

Professor Derk Joester leads the Joester Group at Northwestern University's Department of Materials Science and Engineering. His research focuses on understanding the formation, properties, and degradation of mineralized tissues in both vertebrate and invertebrate organisms, with a particular emphasis on biomineralization mechanisms. He employs cutting-edge techniques such as atom probe tomography (APT), synchrotron X-ray microtomography, and machine learning-driven image segmentation to study materials like chiton radula teeth and human dental enamel. Education: Ph.D. Chemistry, ETH Zurich, Switzerland (2000) M.Sc. Chemistry, ETH Zurich, Switzerland (1999) Fulbright Scholar, University of Tennessee (1994–1995) B.A. Chemistry and Pharmacy, University of Tübingen, Germany (1992) Research Interests: His group investigates the role of organic matrices in controlling mineralization, the dynamics of amorphous-to-crystalline transitions, and the application of bioinspired materials in fields like dentistry and additive manufacturing. Key projects include the Enamel Atlas initiative to map enamel structure across scales and the study of Sr sequestration in marine organisms for nuclear waste remediation. Professional Recognition: Fellowships: Minerva, Weizmann Institute, ETH Zurich, Fulbright Awards: Dr. Nathorff-Einstein Award (1992), Fonds of the German Chemical Industry Award (1992) Grants & Collaborations: Current funding supports projects like the Enamel Atlas , bioengineering single-crystal growth, and Sr mineralization studies in Acantharea. Collaborators include institutions such as UCSF, UPenn, and the Forsyth Institute. Labs & Teams: The Joester Group hosts a multidisciplinary team, with ongoing projects in cryo-tomography, nanomaterials visualization, and computational modeling of biomineral systems.

• Materials Science
• Condensed Matter Physics
• Nanotechnology
• +۳ مورد دیگر

Guomin Zhu is a Researcher in the Stemmer Group at the Materials Research Lab, University of California, Santa Barbara. His work focuses on advanced materials science, with a particular emphasis on nanomaterials synthesis, energy storage systems, and structural characterization using cutting-edge microscopy techniques. He investigates phenomena such as phase transitions in superconductors, electrochemical processes in batteries, and crystal growth mechanisms in complex materials. Research interests include superconductivity in ferroelectric materials, solid-state electrolytes for lithium metal batteries, and the dynamics of nanoscale structures during crystallization and dissolution. Zhu employs advanced tools like HAADF-STEM and liquid-cell TEM to study atomic-scale processes in real time, contributing to understanding material behavior in energy-related applications. His recent articles highlight breakthroughs in freestanding electrolytes for lithium batteries, interface-driven assembly of mesocrystals, and the structural evolution of hybrid perovskites under electrical stress. These studies bridge fundamental material science with practical applications in renewable energy and electronics. Zhu’s contributions span collaborations across the College of Engineering, emphasizing interdisciplinary approaches to solve challenges in materials design and characterization.

Cui Ying Toeمشاهده پروفایل

مدرس

• Renewable Energy
• Photocatalysis
• Green Hydrogen
• +۳ مورد دیگر

Dr. Cui Ying Toe is a Lecturer in Renewable Energy Engineering at the University of Newcastle's School of Engineering, affiliated with the College of Engineering, Science and Environment. She holds a PhD in Advanced Manufacturing from the University of New South Wales and a Bachelor of Engineering from the University of Malaya. Her research centers on solar energy conversion technologies, including photocatalytic hydrogen generation, photoelectrochemical CO₂ reduction, and scalable photoreactor systems for sustainable fuel production. Her work bridges fundamental catalyst design and industrial applications, emphasizing techno-economic feasibility and AI-driven material discovery. Recent projects explore hybrid photocatalysis-photoelectrocatalysis systems and waste-derived chemical synthesis. Key research themes include: Photocatalytic reforming of organic waste for simultaneous H₂ and value-added chemical production Nanoscale engineering of kesterite and ferroelectric materials for enhanced solar fuel efficiency Machine learning optimization of photocatalyst performance Her 15 most recent publications (2021-2025) demonstrate a consistent focus on renewable energy materials, with emerging trends in defect engineering, single-atom catalysts, and solar-driven ammonia synthesis. Earlier work established foundational insights into plasma-functionalized coatings and biomimetic implant interfaces. She has received the Best Poster Award (2021) and Future Women Leaders Conference Award (2019) . Current industry partnerships target photocatalytic system upscaling and techno-economic validation. She coordinates courses in Bioenergy and Geothermal Systems, supervising PhD candidates in photoelectrochemical reactor design.

Muhammad Akbar Rhamdhaniمشاهده پروفایل

استاد

• Extractive Metallurgy
• Metals Recycling
• Low-Carbon Metallurgical Processes
• +۶ مورد دیگر

Professor Muhammad Akbar Rhamdhani is a Professor in Extractive Metallurgy and Metals Recycling at Swinburne University of Technology's School of Engineering. He leads the Fluid and Process Dynamics (FPD) Group, the Net Zero Carbon Materials and Processes Research Platform, and the Energy Transition Metals Research Flagship. His research spans advanced metal refining, low-carbon metallurgy, and extraterrestrial processing, with a focus on hydrogen-based technologies and solar energy applications. He serves as Editor-in-Chief of the Journal of Sustainable Metallurgy and holds a PhD in Materials Science from McMaster University. Education: PhD, Materials Science and Engineering, McMaster University (2005) BEng (Hons), Materials Engineering, Institute Technology Bandung (2000) Graduate Certificate in Learning and Teaching, Swinburne (2010) Research Interests: Akbar's work addresses critical challenges in metallurgical decarbonization, e-waste recycling, and space resource utilization. His projects include hydrogen plasma for low-carbon steelmaking , solar thermal processing of lunar materials , and REE extraction from NdFeB magnets . These align with SDGs 7 (Clean Energy), 9 (Industry Innovation), and 12 (Responsible Consumption). Publication Trends: His recent articles emphasize hydrogen metallurgy for CO2 reduction, ISRU technologies for Mars regolith processing, and slag-based silicon refining . Studies often combine thermodynamic modeling with experimental validation, focusing on resource efficiency and environmental sustainability. Scientific Awards: 2024 LMD/EPD Best Energy Paper (TMS, USA) 2023 JSM Best Paper Award (TMS, USA) 2023 Adrian Normanton Award (IOM3, UK) 2020 Williams Award (IOM3, UK) 2019 Kent D. Peaslee Award (AIST, USA) 2015 MetSoc Award (Metallurgical Society of Canada) Supervision & Grants: He actively supervises PhD students in topics like lunar steel production and hydrogen-based e-waste processing . Current grants include Australian Renewable Energy Agency (8/2024–6/2029) and HILT CRC projects (2023–2028) for hydrogen DRI and solar metallurgy innovations.

Sebastian Stepanowمشاهده پروفایل

مدرس

• Low-dimensional materials
• Quantum magnetism
• Scanning tunneling microscopy
• +۴ مورد دیگر

Dr. Sebastian Stepanow is a Lecturer at the Department of Materials, ETH Zurich, Switzerland. He leads the scanning tunneling microscopy laboratory within the Magnetism and Interface Physics group, focusing on investigating electronic and magnetic properties of low-dimensional materials, including graphene and single atoms/molecules. His research emphasizes atomic-scale quantum magnetism, charge carrier dynamics in nanoscale systems, and surface science. Education: PhD in Physics (2005, EPFL, Switzerland); Diploma in Physics (2002, Friedrich-Schiller University Jena, Germany). Career highlights include Senior Scientist (ETH Zurich, 2013–present), Group Leader at Max-Planck Institute for Solid State Research (2008–2013), and postdoctoral positions in Barcelona and Stuttgart. Research interests span nanoscale materials characterization, magnetic phenomena in confined systems, and advanced STM techniques. His work bridges quantum mechanics and materials engineering, with applications in nanotechnology and spintronics. Publications highlight studies on graphene intercalation, single-atom magnets, and paramagnetic resonance. His lab develops cutting-edge instrumentation for high-resolution magnetic and electronic measurements.

Kevin James Lawsمشاهده پروفایل

دانشیار

• Metals and Alloy Materials
• Metallic Glasses
• Amorphous Materials
• +۳ مورد دیگر

Associate Professor Kevin James Laws is an academic in the School of Materials Science and Engineering at the University of New South Wales. He holds roles including Project Manager at the ARC Centre of Excellence for Design in Light Metals and previously held a Postdoctoral Fellowship at UNSW. His expertise centers on alloy design, particularly metallic glasses and their processing techniques such as die-casting and thermomechanical treatments. Laws has contributed to the development of amorphous alloys for structural and biomedical applications, including magnesium-based composites with enhanced thermal stability. His research focuses on material properties such as corrosion resistance, mechanical behavior, and phase stability, supported by over $100k in research funding since 2008. He has co-supervised 10 honours and 6 PhD students, reflecting his commitment to training the next generation of materials scientists. Awards include the ARC Postdoctoral Fellowship and invited research positions at ETH Zurich and the US Air Force Research Laboratories. Research Highlights : Design of bulk metallic glasses, amorphous alloy matrix composites, and bioresorbable materials. Teaching : Coordinates Welding and Joining Processes, guest lectures in polymer engineering, and supervises honours/PhD theses. Laws' work bridges fundamental materials science with industrial applications, emphasizing high-throughput methods and computational modeling to accelerate alloy discovery. His publications span over 60 journal articles, book chapters, and conference contributions, addressing topics from atomic-scale structure analysis to macro-scale material performance.