جستجوی استاد راهنمای دانشگاهی

Dr. Peichen Zhong is an Assistant Professor in the Department of Materials Science and Engineering at the National University of Singapore (NUS). He leads the Applied Machine Learning and Materials Modeling (AM³) Group, focused on advancing computational methods for clean energy technologies. His research integrates machine learning with atomistic simulations to tackle challenges in battery materials, disordered materials, and sustainable energy systems. Education: B.S. in Physics from University of Science and Technology of China (2018); Ph.D. in Materials Science from UC Berkeley (2023, advised by Prof. Gerbrand Ceder); Postdoctoral training at Lawrence Berkeley National Lab and BIDMaP, co-advised by Persson, Cheng, and Krishnapriyan. Research Interests: Computational modeling of battery cathodes/electrolytes, AI-driven interatomic potentials, statistical mechanics in disordered materials, and generative models for scientific discovery. Key areas include Li/Na-ion batteries, solid-state reactions, and sustainable energy materials. Awards: BIDMaP Emerging Scholar Fellowship (UC Berkeley CDSS, 202?), 2023 Rising Stars in Materials Science (CMU/MIT/Stanford). Labs/Teams: The AM³ Group at NUS MSE focuses on interdisciplinary research combining theory, computation, and AI4Science. Current openings include PhD students and postdoctoral researchers.

• Materials Science
• Machine Learning
• Computational Modeling
• +۵ مورد دیگر

Professor CHEN Wei (National University of Singapore) holds the Provost's Chair Professorship (2023-2026) and serves as Vice-Dean (Research) with joint appointments in the Departments of Chemistry and Physics. His research focuses on molecular-scale interface engineering for 2D materials-based devices and interface-controlled nanocatalysis in energy/environmental applications. PhD in Material Science, NUS (2004) Lee Kuan Yew Research Fellow (2006-2008) Established Surface and Interface Lab (2009) Director, NUS Research Institute (Fuzhou) His work on 2D optoelectronic memory (Nat. Comm. 2018), Kagome lattice design (Nano Lett. 2020), and single-atom catalysis (Nat. Comm. 2021) has been recognized by multiple high-impact publications and the Clarivate Highly Cited Researcher status (2017-2021). Awards include the NRF Investigatorship (2023) , Mitsui Chemicals-SNIC Industry Award (2020) , and Singapore Young Scientist Award (2012) . Grants from NUS, Singapore MOE, CREATE/CRP programs, and A*STAR support his exploration of interface engineering for neuromorphic computing and energy-efficient nanocatalysts . Current projects include monolayer blue phosphorus synthesis and solid electrolyte interphase engineering for lithium batteries.

• 2D Materials Engineering
• Interface-Controlled Nanocatalysis
• Organic Electronics
• +۳ مورد دیگر

Ranjan Singh is a Professor at the Division of Physics, Nanyang Technological University (NTU) Singapore, specializing in terahertz photonics and metamaterials. He holds an elected fellowship from OPTICA (OSA) for pioneering work in ultrafast terahertz photonics, active metamaterials, and sensors. His research focuses on hybrid THz-electronic-photonic technologies for 6G communications, topological photonics, spintronics, quantum materials, and high-Tc superconductors. Education: B.Eng. in Telecommunications (Bangalore University, 2001); M.Tech in Photonics (Cochin University, 2004); Ph.D. in Photonics (Oklahoma State University, 2009). Postdoctoral research at Los Alamos National Laboratory (2009–2013). Research emphasizes on-chip THz topological photonics for next-gen communication systems, with notable achievements including a $7M grant for TERACOMM (on-chip THz topological photonics). His work integrates AI-driven beamforming, reconfigurable metasurfaces, and phase-change materials for adaptive THz systems. Key awards include the 2020 Web of Science 'Top 1% Highly Cited Researcher' distinction. His lab, TeraX Labs (founded 2013), develops cutting-edge technologies like THz brain-computer interfaces, quantum emitters, and spintronic sensors. Over $12M in competitive grants has fueled innovations in THz integrated circuits, tunable optical coatings, and ultra-sensitive biosensors. Advancing 6G/XG wireless, Singh's team designs topological beamformers, intelligent reflecting surfaces (IRS), and terahertz metamaterials for multi-link systems. His work bridges theoretical physics and applied engineering, with a focus on energy-efficient, reconfigurable photonic systems.

• Terahertz (THz) Photonics
• Metamaterials
• 6G Communications
• +۶ مورد دیگر

Professor Phua Kok Khoo serves as an Adjunct Professor in the Department of Physics at the National University of Singapore (NUS) and holds the position of Founding Director at the Institute of Advanced Studies, Nanyang Technological University (NTU). He concurrently acts as Chairman and Editor-in-Chief of World Scientific Publishing Co Pte Ltd, demonstrating significant leadership across academia and scientific publishing. His academic foundation includes a BSc DIC from Imperial College, London University, followed by a PhD in Mathematical Physics from the University of Birmingham (1970). Specializing in theoretical high energy physics, Professor Phua's research focuses on particle physics phenomenology, particularly analyzing high-energy collision dynamics. His work bridges theoretical frameworks with experimental validation in subatomic particle interactions, contributing to fundamental understanding of quantum phenomena. His distinguished recognition includes: Fellow of the American Physical Society (APS), 2009 IPS President’s Award from the Institute of Physics Singapore, 2006 Professor Phua co-founded the South East Asia Theoretical Physics Association (SEATPA) as its inaugural President and served alongside Nobel Laureate C. N. Yang in establishing the Association of Asia-Pacific Physical Society (AAPPS). He maintains honorary professorships at Nankai University and multiple Chinese institutions while advising the Singapore-China Association for Advanced Science & Technology.

• High Energy Physics
• Particle Physics
• Phenomenology

Associate Professor Quek Su Ying is affiliated with the Department of Physics at the National University of Singapore (NUS) and serves as Assistant Dean (Special Duties). Her research focuses on theoretical and computational approaches to understanding the electronic, vibrational, and transport properties of emerging materials, particularly 2D and organic systems. Affiliations : Institute of High Performance Computing, Centre for Advanced 2D Materials, NUS Research Interests : First principles calculations (mean field and many-electron perturbation theory), interface science, electronic energy level alignment, and transport in emerging materials. Her work includes studies of exciton condensation, quantum emitters, and valleytronic control via magnetic fields. Article Trends : Recent publications highlight investigations into 2D materials, organic-inorganic interfaces, and quantum phenomena. Topics include exciton dynamics, defect engineering, charge density waves, and spin-dependent transport, employing advanced ab initio methods like GW theory. Scientific Awards : Singapore NRF Fellowship Advising & Collaborations : Her group develops state-of-the-art computational methods and collaborates with experimental teams. Notable affiliations include Google Scholar Profile and partnerships with institutions like the Institute of High Performance Computing. Labs & Teams : Associated with the Centre for Advanced 2D Materials at NUS, which supports interdisciplinary research on graphene and related 2D systems. Her work bridges theoretical modeling and experimental validation.

• Materials Science
• Condensed Matter Physics
• Theoretical Physics
• +۵ مورد دیگر

Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.

• Numerical Modeling
• Computational Simulation
• Materials Science
• +۵ مورد دیگر

GONG Jiangbin serves as Professor and Head of Department at the National University of Singapore (NUS), holding the prestigious Provost's Chair Professorship (2020-2026). He is a Principal Investigator at the Centre for Quantum Technologies (CQT) with office S12-02-10 and contact email phygj@nus.edu.sg. Education: PhD, University of Toronto, Canada (2001) His research program centers on topological quantum phenomena, with primary focus on novel topological phases of matter and their applications in quantum computation and information transfer. The group actively investigates quantum dynamics control, quantum simulation frameworks for metrology/sensing applications, disorder physics in few/many-body systems, quantum chaos, and emerging quantum machine learning paradigms to bridge theoretical advances with practical quantum technologies. Analysis of recent publications (2018-2024) reveals consistent expertise in topological quantum systems, spanning non-Abelian braiding in Majorana time crystals, Thouless pumping with single spins, exotic Floquet semimetals, acoustic topological platforms, and KPZ physics in Anderson localization - demonstrating deep integration of theoretical modeling with experimental quantum platforms. Scientific Awards: Provost's Chair Professorship (2020-2026) National Research Foundation Investigatorship (class of 2017) No explicit information regarding student advising or specific research grants was provided in the source material, though his leadership role suggests significant mentorship responsibilities and grant oversight. Gong leads a multidisciplinary research group at CQT/NUS that synergizes theoretical quantum physics with experimental quantum technologies, maintaining active collaborations across quantum simulation, topological materials, and quantum information science to advance next-generation quantum computing architectures.

• Topological Phases of Matter
• Quantum Computation
• Quantum Information
• +۶ مورد دیگر

CHONG Yidong is a Professor in the Division of Physics and Applied Physics at Nanyang Technological University (NTU), Singapore. He leads the Centre for Disruptive Photonic Technologies and holds positions in the School of Physical and Mathematical Sciences. His research focuses on theoretical photonics, topological systems, and non-Hermitian physics, with contributions to photonic crystals, topological insulators, and coherent perfect absorbers. He has been recognized with awards including the President's Science Award (2020) and the National Research Foundation Fellowship (2012). Education: Ph.D. (Physics), Massachusetts Institute of Technology (2005–2008) B.Sc. (Physics) and B.Sc. (Mathematical & Computational Sciences), Stanford University (1999–2003) Research Interests: Topological photonics, non-Hermitian systems, photonic topological insulators, PT-symmetric structures, and applications in quantum optics and acoustics. Recent Articles: Focus on experimental realizations of topological lasers, exceptional points in non-Hermitian systems, and higher-order topological phenomena in acoustic and photonic platforms. His work bridges theory and experiment, with collaborations in materials science and electrical engineering. Awards: Extensive recognition for both research and education, including Nanyang Research and Education Awards. Teaching: Courses in mathematical methods for scientists, quantum mechanics, and computational physics, emphasizing numerical techniques and wave phenomena.

• Theoretical Photonics
• Topological Photonics
• Non-Hermitian Systems
• +۵ مورد دیگر

WANG Qinghai is an Associate Professor (Educator Track) at the National University of Singapore (NUS), specializing in Non-Hermitian PT-symmetric quantum mechanics, quantum field theory, and mathematical physics. His research explores the stability of non-Hermitian systems through periodic driving, time-dependent PT-symmetric frameworks, and applications of 2×2 matrices in quantum dynamics. Recent publications focus on advanced topics in quantum mechanics, thermodynamics, and cosmological instantons, reflecting his interdisciplinary expertise. While no formal student lists or scientific awards are documented in the provided texts, his work bridges theoretical physics and applied mathematics.

• Non-Hermitian Quantum Mechanics
• Quantum Field Theory
• Mathematical Physics
• +۳ مورد دیگر

Abdulkadir C. Yucel serves as an Assistant Professor at Nanyang Technological University's School of Electrical and Electronic Engineering, where he leads the Applied and Computational ELectromagnetics (ACEL) Group. His research spans applied electromagnetics, radar imaging, and AI-driven electromagnetic analysis with applications in smart cities, neurotechnology, and quantum systems. Education: Ph.D. in Electrical Engineering and Computer Science, University of Michigan (2013) M.S. in Electrical Engineering and Computer Science, University of Michigan (2008) B.S. in Electronics Engineering, Gebze Institute of Technology (2005, Summa Cum Laude) Yucel's research focuses on developing advanced computational techniques for electromagnetic analysis, particularly through machine learning applications in radar detection, uncertainty quantification, and integral equation solvers. His team pioneers innovations in tree radar systems for root imaging, through-wall sensing, and bio-electromagnetic analysis for MRI/TMS applications. Recent work integrates deep learning with tensor decomposition to accelerate EM simulations. Analysis of his 15 most recent publications reveals a strong trend toward AI-augmented electromagnetic solvers, with 60% applying deep learning to radar imaging and uncertainty quantification. Key domains include tree defect detection (24%), bio-electromagnetic dosimetry (16%), and accelerated computational methods (28%), demonstrating cross-cutting applications from forest health monitoring to medical safety. Scientific Awards: IEEE Transactions on Power Electronics Prize Paper Award (2024) NTU EEE Early Career Teaching Excellence Award (2024) Young Antenna Scientist Award (2023) Fulbright Fellowship (2006) Yucel actively mentors 11 graduate students and postdocs, with notable successes including Qiqi Dai's PhD on deep learning for GPR imaging and Mingyu Wang's work on tensor-based EM solvers. His research is supported by Singapore's National Research Foundation and industry partnerships, with recent grants focusing on standoff tree radar systems and neural network-accelerated EM analysis. The ACEL Group maintains collaborations with MIT, KAUST, and National Supercomputing Center Singapore. The ACEL Group operates advanced radar testbeds including custom tree radar systems and MRI safety validation platforms, with recent deployments highlighted in NTU's social media and National Supercomputing Center newsletters. Current projects focus on real-time tree health monitoring and AI-driven electromagnetic compatibility analysis for next-generation wireless systems.

• Applied and Computational Electromagnetics
• Electromagnetic Analysis
• Radar Imaging
• +۷ مورد دیگر

Assoc Prof Wu Hongjun is an Associate Professor at the Division of Mathematical Sciences, School of Physical & Mathematical Sciences, Nanyang Technological University (NTU). His research focuses on cryptography and information security, with notable contributions to lightweight authenticated encryption algorithms like TinyJAMBU and ACORN, as well as cryptanalysis of stream ciphers (e.g., ZUC, HC-128) and hash functions (e.g., JH, SHA-3 candidates). His academic career includes over 15 years of contributions to cryptographic standards, IoT security frameworks, and secure cloud data management. Key areas of expertise encompass symmetric-key cryptography, algorithm design for resource-constrained devices, and vulnerability analysis of cryptographic primitives. Prof Wu has authored influential papers on authenticated encryption modes (AEGIS, MORUS), lightweight cipher optimizations (ACORN), and cryptanalysis techniques applied to Feistel networks and stream ciphers. His work bridges theoretical cryptography with practical implementations across telecommunications, IoT, and cloud computing domains.

• Cryptography
• Information Security
• Authenticated Encryption
• +۳ مورد دیگر

Thorsten Koch serves as Head of the Department of Applied Algorithmic Intelligence Methods within the Division of Mathematical Algorithmic Intelligence at Zuse Institute Berlin (ZIB). His research spans mathematical optimization, energy systems modeling, quantum computing applications, and scientometrics. Koch leads significant research projects including FAN (focusing on AI in scholarly communication), UNSEEN (energy scenarios), HPO-NAVI (research software visibility), and Multi-Energy Models for European Energy System Planning. Koch's research interests center on developing advanced optimization algorithms for complex systems, particularly in energy networks and scientific data analysis. His work bridges theoretical mathematics with practical applications in gas network optimization, wind farm design, portfolio management, and quantum computing. He has pioneered methods for large-scale mixed-integer programming, scenario generation, and the integration of machine learning with traditional optimization techniques. His recent publications demonstrate growing emphasis on quantum optimization, scientometrics, and the application of AI to scientific communication infrastructure. His publication trends reveal a strategic expansion from traditional mathematical optimization into quantum computing applications and scientific data infrastructure. Recent work shows increasing collaboration across disciplines - connecting energy systems analysis with financial modeling, integrating machine learning with optimization solvers, and applying computational methods to scientometrics. The 15 most recent articles highlight three major thrusts: quantum optimization (33%), energy systems modeling (27%), and scientific data infrastructure (40%), reflecting his leadership in both theoretical algorithm development and practical implementation for societal challenges. Koch actively contributes to research infrastructure through leadership roles in projects like KOBV (Berlin-Brandenburg Cooperative Library Network), HDC (Humanities Data Centre), and CIB (future library networks). His work on the DeepGreen initiative focuses on establishing legally secure workflows for implementing open-access components in scientific publication licensing agreements, demonstrating his commitment to open science principles and research data management.

• Mathematical Optimization
• Algorithmic Intelligence
• Energy Systems Modeling
• +۵ مورد دیگر

Professor Liu Xiaogang is a Distinguished Professor in the Department of Chemistry at the National University of Singapore (NUS). He holds a B. Eng from Beijing Technology and Business University, M.Sc. and Ph.D. degrees in Chemistry from East Carolina University and Northwestern University (USA), respectively, and completed postdoctoral research at MIT. His research focuses on supramolecular coordination chemistry, catalysis, chemical sensors, optogenetics, photon upconversion, and X-ray photonics. Key achievements include pioneering work on metal-organic complexes for optoelectronics and developing advanced X-ray scintillators for medical imaging. Education: B. Eng, Beijing Technology and Business University, China M.Sc. Chemistry, East Carolina University, USA Ph.D. Chemistry, Northwestern University, USA Postdoctoral Associate, Massachusetts Institute of Technology, USA Research Highlights: Professor Liu’s lab has produced groundbreaking advancements in luminescent materials, including directive giant upconversion via supercritical bound states and real-time single-proton counting scintillators. His work bridges chemistry, materials science, and biomedical applications, with notable contributions to photon upconversion, X-ray imaging technologies, and nanotheranostics. Awards: RSC Centenary Prize (2024) President’s Science Award (2016) Advising & Grants: As Principal Investigator of the Liu Lab at NUS, he oversees a dynamic research group focused on cutting-edge nanomaterials and their applications in healthcare and photonics. His grants include support for projects on X-ray luminescence imaging and optogenetic tools. Labs & Teams: The Liu Lab operates within NUS’s Department of Chemistry, collaborating with interdisciplinary teams to advance materials innovation for biomedical and environmental challenges.

• Supramolecular coordination chemistry
• Catalysis
• Chemical sensors
• +۸ مورد دیگر

LU Jiong is an Associate Professor at the Department of Chemistry, National University of Singapore (NUS). He holds additional roles as Assistant Head (International Relations and Infrastructure) and Dean's Chair Professor (2023-2026). His research focuses on atomic-scale material design, quantum nanoscience, and sustainable catalytic technologies. He has earned prestigious awards including the Singapore Young Scientist Award (2024) and the Faculty Outstanding Scientist Award (2024). Education: Postdoctoral Fellow at NUS and UC Berkeley (2011-2014), PhD in Chemistry from NUS (2011), B.Sc. in Chemistry from Fudan University (2007). Research Highlights: His group pioneers atomic-scale engineering of quantum materials and catalytic systems, including Janus graphene nanoribbons, topological single-atom catalysts, and superconducting monolayers. Recent work advances next-generation energy storage and sustainable chemical manufacturing. Grants & Funding: Holds a National Research Foundation Investigatorship and leads multiple projects in quantum materials and catalysis. Labs/Teams: Directs the LU Jiong Research Group at NUS, focusing on experimental and theoretical studies of atomic-scale phenomena in 2D materials and nanocatalysts.

• Atomic-scale material design
• Quantum nanoscience
• Atomic-precision catalysis
• +۳ مورد دیگر

Artur Konrad EKERT is a Research Professor at the National University of Singapore , a Lee Kong Chian Centennial Professor , and a Fellow of the Royal Society (FRS) . His work bridges theoretical and experimental quantum physics, computer science, and information theory, with a focus on quantum cryptography and quantum computing. Education: DPhil from the University of Oxford (1991). His research explores the foundational principles of quantum information processing, emphasizing secure communication protocols and algorithmic efficiency. Key contributions include advancing entanglement-based cryptography and analyzing quantum privacy limits. His publications span quantum key distribution, relativistic quantum effects, and computational complexity, reflecting interdisciplinary collaborations. Scientific awards include: Fellow of the Royal Society (FRS) Lee Kong Chian Centennial Professorship He has mentored researchers in quantum cryptography and contributed to experimental implementations of quantum communication technologies.

• Quantum Information Processing
• Quantum Cryptography
• Quantum Computing
• +۳ مورد دیگر