جست‌وجوی استاد و پژوهشگر

NG Hui Khoonمشاهده پروفایل

دانشیار

• Quantum Information Theory
• Quantum Computation
• Quantum Error Correction
• +۳ مورد دیگر

NG Hui Khoon is an Associate Professor at the National University of Singapore , affiliated with Yale-NUS College and the Centre for Quantum Technologies . She holds a PhD in Physics from the California Institute of Technology (Caltech), USA (2009). Research Interests: Her work focuses on theoretical aspects of quantum information and computation, particularly quantum error correction and fault tolerance , quantum noise modeling , and quantum tomography . She investigates how resource constraints limit quantum computing and develops adaptive methods for quantum state estimation using neural networks. Publication Trends: Her recent articles (2021–2013) emphasize quantum error correction frameworks, tomography techniques, and statistical methods for quantum systems. Key themes include fault tolerance under amplitude-damping noise, randomized benchmarking for time-correlated dephasing, and Bayesian approaches for prior-data conflict checking. Scientific Awards: Early Career Teaching Award (2019, Inaugural recipient) CQT Fellowship (2019 – current) Advising & Grants: No explicit advising or grant details are provided. She collaborates with institutions like the Centre for Quantum Technologies and Yale-NUS College. Labs & Teams: She is associated with the Centre for Quantum Technologies, a leading research center in quantum information science.

Linan Chenمشاهده پروفایل

دانشیار

• Probability Theory
• Analysis
• Geometry
• +۴ مورد دیگر

Linan Chen is an Associate Professor in the Department of Mathematics and Statistics at McGill University since 2014, following a postdoctoral position at the same institution (2011–2014). He holds a Ph.D. from MIT (2011, supervised by Daniel Stroock) and a B.Sc. from Tsinghua University (2006). His research focuses on probability theory and its intersections with analysis and geometry, including partial differential equations, functional analysis, Gaussian measures, and random geometry. He is affiliated with the Probability Lab of the Centre de Recherches Mathématiques (CRM) and the CNRS-Unite Mixte Internationale (CNRS-UMI) since 2014. Chen teaches advanced probability courses such as Honours Probability (Math 356) and Advanced Probability Theory I/II (Math 587/589), alongside special topics courses like Topics in Geometry and Topology (Math 599). He has advised students including Leila Sloman, Reinhold Willcox, Ulysse Blau, and Olivier Nadeau-Chamard through independent study programs. His research explores cutting-edge topics in probability, including Gaussian free fields, degenerate diffusion equations, and asymptotic properties of geometric stochastic structures. Recent work addresses high-dimensional phenomena, stochastic processes in geometry, and applications in mathematical physics. Chen’s contributions span theoretical advancements and methodological innovations, with publications in journals such as the Journal of Theoretical Probability, Annales Henri Poincaré, and SIAM Journal on Mathematical Analysis.

• Machine Learning
• Signal Processing
• Biomedical Engineering
• +۷ مورد دیگر

Professor Danilo Mandic is a leading academic in Machine Intelligence and Signal Processing at Imperial College London's Department of Electrical and Electronic Engineering. He holds roles including President of the International Neural Network Society and Distinguished Lecturer for IEEE Computational Intelligence and Signal Processing Societies. His research spans Statistical Learning, Wearable Sensing (Hearables), Financial Signal Processing, and Tensor Networks for Big Data. Key contributions include pioneering in-ear physiological sensing and developing quaternion-based adaptive filters. He has authored over 600 publications, including seminal monographs on neural networks and complex-valued signal processing. Education: PhD in Nonlinear Adaptive Signal Processing from Imperial College (1999). Professional accolades include the 2019 Dennis Gabor Award and multiple IEEE Best Paper Awards. His labs include the Financial Signal Processing & Machine Learning Lab and collaborations with the Centre for Neurotechnology. He advises numerous students and leads projects on AI ethics, graph signal processing, and biomedical applications. His work emphasizes translating research into educational curricula via participatory sensor-based learning.

Mark F. Bockoمشاهده پروفایل

استاد

• Superconducting Digital Electronics
• Quantum Computing
• Digital Signal Processing
• +۴ مورد دیگر

Mark F. Bocko is a Professor of Electrical and Computer Engineering and Physics at the University of Rochester, serving as Chair of the Department of Computer and Electrical Engineering since 2004. He holds a BA from Colgate University and advanced degrees (MS/PhD) in Physics from the University of Rochester. His research spans superconducting digital electronics, quantum computing, music signal processing, and smart sensor systems. Notable awards include the Excellence in Undergraduate Teaching Award (1991, 2002) and Professor of the Year (2002). His research groups focus on high-frequency digital signal processing using Josephson junctions, quantum coherence in superconducting circuits, and applications in music technology such as internet-based real-time musical collaboration. Collaborations include work with the Eastman School of Music and local industries on sensor networks and wireless technologies. Key contributions include developing GHz-rate analog-to-digital converters, quantum bit control systems, and music encoding algorithms. His NSF-funded projects explore internet2 applications for musical interaction and physical modeling in music systems.

Lena Funckeمشاهده پروفایل

استادیار

• Quantum Computing
• Theoretical Physics
• Lattice Field Theory
• +۳ مورد دیگر

Lena Funcke is an Assistant Professor of Theoretical Physics at Bonn University. Her research focuses on quantum computing, lattice field theory, and machine learning applications in physics. She explores topics such as topological phases, gauge theories, and quantum simulations. Her work bridges high-energy physics and computational methods, with a particular emphasis on overcoming noise challenges in quantum algorithms and leveraging machine learning for optimization tasks. Funcke’s research projects include C01 and C03, focusing on Hamiltonian lattice formulations and quantum computing methods for gauge theories. She investigates hybrid approaches combining Monte Carlo simulations with quantum computing to study quantum electrodynamics and topological systems. Her contributions highlight the interplay between theoretical physics and cutting-edge computational tools. Her publications span quantum algorithms for particle physics experiments, error mitigation strategies, and the application of normalizing flows to complex systems like the Hubbard model. She actively contributes to advancing the theoretical foundations of quantum computing and its practical implementation in solving fundamental physics problems.

Davide Donadioمشاهده پروفایل

استاد

• Molecular Modelling
• Materials Science
• Thermal Transport
• +۴ مورد دیگر

Davide Donadio is a Professor of Chemistry at the University of California, Davis. His research focuses on molecular modeling and simulations of materials, particularly in non-equilibrium processes, thermal transport, and nanostructure assembly. He leads the Naotheory Group, which develops predictive multiscale models for energy-related materials. Education : Habilitation in Materials Science, Italian Ministry for University and Research (2013) Ph.D. in Materials Science, University of Milano (2003) M.S. in Physics, University of Milano (1998) Research Interests : His work spans molecular-level understanding of energy conversion, thermal management, and nanostructure formation. Key areas include phononics, thermoelectrics, and interfacial phenomena in materials like ice surfaces, semiconductors, and clathrates. He employs machine learning and first-principles methods to bridge simulation and experiment. Awards : UC Davis Hellman Fellow (2017–2018) Young Scientist Award, Italian Institute for the Physics of Matter (1998) Grants & Labs : His funding and collaborations drive advancements in nanostructured materials and computational tools like PLUMED tutorials. The Naotheory Group actively publishes in high-impact journals and collaborates internationally on thermal transport and materials design.

Muhammed Esginمشاهده پروفایل

مدرس

• Cryptography
• Quantum-Resistant Cryptography
• Blockchain Protocols
• +۳ مورد دیگر

Muhammed Esgin is a Lecturer in the Department of Software Systems & Cybersecurity at Monash University's Faculty of Information Technology (FIT). He holds a PhD in Cybersecurity from Monash University (2020) and has extensive postdoctoral experience at Monash and CSIRO's Data61, alongside an IBM Research internship in Zurich. His research focuses on quantum-resistant cryptography, privacy-enhancing technologies, and blockchain protocols, with applications in cybersecurity and social good. Education: Doctor of Philosophy (Cybersecurity), Monash University, 2020 Research Internship, IBM Research - Zurich (hosted by Vadim Lyubashevsky) Research Interests: Post-quantum cryptography (lattice-based schemes) Privacy-preserving protocols (e.g., zero-knowledge proofs) Secure blockchain technologies (confidential transactions, ring signatures) Cryptographic primitives for decentralized systems Recent Projects: Securing Privacy-Preserving Cloud Computation Against Active Attacks (2025–2028) More Efficient Post-Quantum Multi-Signatures (2024–2025) Quantum Information Technology: Industry Readiness & Applications (2023–2027) Teaching Roles: Lecturer for FIT units: Network Security, Introduction to Computer Architecture, Advanced Security Topics Tutor/Admin Tutor for multiple cybersecurity courses

N. Asger Mortensenمشاهده پروفایل

استاد

• Nanophotonics
• Quantum Optics
• Condensed Matter Physics
• +۵ مورد دیگر

N. Asger Mortensen is a Professor and D-IAS Chair at the Danish Institute for Advanced Study , University of Southern Denmark. He serves as Scientific Director of the DNRF Center of Excellence POLIMA , focusing on polariton-driven light-matter interactions. His career spans leadership roles at SDU and DTU, including VILLUM Investigator grants. Education : Dr. scient. (2021) University of Copenhagen; Dr. techn. (2006), PhD (2001), MSc (1998) from Technical University of Denmark. Research Interests : Quantum plasmonics, nanophotonics, metamaterials, optofluidics, and light-matter interactions in structured materials. His work bridges classical electrodynamics and quantum physics, emphasizing nonlocal effects and polaritonic phenomena. Recent Articles : Explore nonlocality in photonic materials, plasmonic systems in 2D materials, and polariton dynamics. Keywords include Nanophotonics , Quantum Optics , and Condensed Matter , with subfields like Surface Plasmons , Exciton Polaritons , and Topological Insulators . Scientific Awards : Fyens Stiftstidendes Forskerpris (2023) Elected Member, Royal Danish Academy of Sciences and Letters (2022) VILLUM Investigator (2017) European Optics Prize (2008, 2004) Grants : Leads DNRF CoE (2023-2029, ~60 MDKK) and VILLUM Investigator (2017-2023, ~40 MDKK). Co-applicant on numerous international collaborations. Editorial Roles : Associate Editor for Science Advances and Nanophotonics , with past roles at Optics Express and Journal of Physics: Condensed Matter .

Shoufeng Lanمشاهده پروفایل

استادیار

• Nanophotonics
• Quantum Photonics
• Metamaterials
• +۳ مورد دیگر

Dr. Shoufeng Lan is an Assistant Professor in the Department of Mechanical Engineering at Texas A&M University's College of Engineering, with affiliated appointments in Electrical & Computer Engineering and Materials Science & Engineering. His research focuses on advanced nanophotonics, exploring light-matter interactions across disciplines including quantum photonics, metamaterials, and 2D materials. Educational background includes a Ph.D. in Electrical and Computer Engineering with a Physics minor from Georgia Institute of Technology (2017), M.S. in ECE/Physics from University of New Mexico (2012), and dual B.S./B.E. degrees from Nankai University/Tianjin University (2007). Research interests span: Light-assisted control, sensing and manufacturing mechanics Plasmonic/metamaterial development Nonlinear/quantum/topological photonics Photon-induced chemical and biomedical synthesis His publications demonstrate consistent innovation in nanophotonics with recent focus on optical metamaterials, exciton control, and machine learning applications in photonics. Award highlights include the 2022 IAC Undergraduate Teaching Award and 2018 Sigma Xi Best Thesis Award. Current doctoral students include Yixin Chen and Sam Lin. Funded research includes NSF-supported work on Optical Hybrid Materials and DARPA-supported semiconductor manufacturing initiatives. Leads the Lán Laboratory (Lab for Advanced Nanophotonics) focusing on photon-matter interactions for energy and information technology applications.

Ji Shuiwangمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence for Science and Engineering
• Language Models and Agents
• +۳ مورد دیگر

Shuiwang Ji is a Professor and Truchard Family Endowed Chair in the Department of Computer Science & Engineering at Texas A&M University, where he also holds Presidential Impact Fellow and Chancellor EDGES Fellow titles. He specializes in machine learning, AI for science/engineering, and language models/agents. His research bridges theoretical advances and practical applications in materials science, quantum chemistry, and biomedical engineering. Education: Ph.D. in Computer Science from Arizona State University (2010). Research focuses on equivaraint neural networks for symmetry-aware learning, graph-based molecular modeling, and generative AI for scientific discovery. He develops algorithms that integrate physics principles with deep learning, addressing challenges in materials design, PDE solving, and biomolecular structure prediction. Publications emphasize symmetry-aware architectures (e.g., equivariant Fourier neural operators), efficient interatomic potential computations, and diffusion models for protein/DNA design. Recent work explores trustworthiness in LLMs and causal reasoning in graph neural networks. Awards include NSF CAREER Award (2014), IEEE Fellow (2023), and Texas A&M teaching excellence awards. His work has been recognized in top venues like NeurIPS, ICML, and ICLR. His research group collaborates on projects funded by NSF, NIH, and industry partners, advancing AI applications in healthcare, robotics, and environmental science.

Christopher B. Gormanمشاهده پروفایل

استاد

• Nanoscale Materials Design
• Conducting Polymers
• Drug Delivery Systems
• +۳ مورد دیگر

Christopher B. Gorman is a Professor in the Department of Chemistry at North Carolina State University (NC State), affiliated with the College of Sciences. His research focuses on nanoscale materials chemistry, including synthesis of novel polymers and materials with tailored electronic and biological properties. He holds a Ph.D. from the California Institute of Technology (1991) and a B.A. in Computer Science and Chemistry from Drew University (1987). Education: Ph.D. in Chemistry, California Institute of Technology, 1991 B.A. in Computer Science and Chemistry, Drew University, 1987 Research Interests: Synthesis of conducting polymers for organic electronics Dynamic surfaces with self-regulating properties Drug delivery systems for biological barriers Nanomaterials for environmental remediation (e.g., phosphorus removal) Biomaterials with anti-fouling or antimicrobial functions Recent Publications: Focused on nanoscale materials for biomedical, environmental, and electronic applications. Key themes include quantum dots for antimicrobial materials, functionalized polymers for drug delivery, and surface coatings with controlled degradation. Labs/Teams: Leads the Gorman Research Group at NC State, mentoring students in nanomaterials synthesis and characterization. Current group members include Sam, Juliana, Dylan, Will, Quy, Carson, Lihan, and Ivan.

Jim Pfaendtnerمشاهده پروفایل

استاد

• Computational Chemistry
• Molecular Simulations
• Materials Science
• +۴ مورد دیگر

Jim Pfaendtner is a Professor in the Department of Chemistry and serves as the Louis Martin-Vega Dean of Engineering at North Carolina State University. His research focuses on computational molecular science and engineering, with particular emphasis on biomimetic materials, nanoparticle self-assembly, and machine learning applications in chemistry. He leads interdisciplinary projects integrating molecular simulations, advanced materials design, and catalytic processes. Education details are not explicitly provided in the text, but his academic roles suggest advanced training in chemical engineering or chemistry. His work spans theoretical and experimental collaborations, including studies on peptoid-based materials, quantum dot superlattices, and enzyme engineering. Key research themes include: (1) biomimetic mineralization using sequence-defined polymers, (2) computational design of corrosion inhibitors and sustainable materials, (3) machine learning models for interatomic potentials and molecular design, and (4) electrochemical systems in energy storage. His team employs advanced simulation techniques like metadynamics and molecular dynamics to probe complex systems. Notable recent achievements include the FOMMS Medal Lecture (2024), leadership in developing predictive models for silica nanoparticle assembly, and contributions to chemical recycling of plastics via novel catalytic methods. His group actively publishes in high-impact journals like Journal of Physical Chemistry and Nano Letters . Current projects include: (1) hierarchical materials from high-information macromolecules, (2) AI-driven retrosynthetic pathway analysis, and (3) dynamic control of bioinspired nanomaterials. He collaborates with industry on sustainable chemical processes and biocatalyst development.

Matteo Fadelمشاهده پروفایل

پژوهشگر

• Quantum Optics
• Quantum Information
• Atomic Physics
• +۳ مورد دیگر

Dr. Matteo Fadel is a Researcher in the Department of Physics at the University of Basel, working in the Quantum Optics Lab led by Prof. Philipp Treutlein. He completed his PhD (2014-2018) and Postdoc (2018-2021) in the same group, focusing on quantum many-body systems, entanglement, and quantum metrology. His research explores foundational aspects of quantum physics using ultracold atoms and hybrid atom-optomechanical systems, with applications in quantum technologies like quantum memories and sensors. Education: B.Sc. Physics, University of Padua (2008-2011) M.Sc. Physics, ETH Zurich (2011-2013) Key Research Interests: Entanglement in macroscopic systems (e.g., Bose-Einstein condensates) Einstein-Podolsky-Rosen steering and quantum nonlocality Quantum memories and optical storage in atomic vapor cells Hybrid quantum systems (e.g., atom-mechanical oscillator coupling) Publications Highlight: Recent work includes observing the EPR paradox in two Bose-Einstein condensates (2023), developing microfabricated quantum memories (2024), and studying spin squeezing in helium-3 (2021). These contributions bridge fundamental quantum physics with technological applications. Awards: Prix Schläfli 2019 (Swiss Academy of Sciences) Contributor to Paul Ehrenfest Best Paper Award 2017 Teaching: Fadel has contributed to courses such as Physik IV, Quantum Optics I, and Introductory Computational Quantum Mechanics at the University of Basel.

Eugene Wangمشاهده پروفایل

استاد

• Buddhist Visual Culture
• Medieval Chinese Art
• Contemporary Chinese Art and Cinema
• +۶ مورد دیگر

Eugene Wang is the Abby Aldrich Rockefeller Professor of Asian Art at Harvard University and Founding Director of Harvard FAS CAMLab. He specializes in Buddhist visual culture, medieval Chinese art, and contemporary Chinese art and cinema. His research explores intersections of art with cognitive science, ecology, and technology, particularly through CAMLab’s projects like Digital Gandhara and Shadow Cave. Wang earned recognition for Shaping the Lotus Sutra (2005), which received Japan’s Sakamoto Nichijin Award. His work bridges historical art analysis with modern interdisciplinary approaches, including motion capture for Dunhuang dance and quantum network simulations. He serves as art history editor for the Encyclopedia of Buddhism and has held a Guggenheim Fellowship (2005). Key Awards: Guggenheim Fellowship (2005), Sakamoto Nichijin Academic Award (2005) Labs/Teams: Harvard FAS CAMLab (Cognition-Aesthetics-Mindscape Lab) Grants/Projects: Digital Gandhara (Afghanistan/Pakistan Buddhist site mapping), Shadow Cave (cognitive Buddhist cave studies) Wang’s focus on biocentric art and cognitive frameworks redefines art historical methodologies. His recent work integrates sensorial media with spiritual experience, reflecting his commitment to pushing interdisciplinary boundaries.

• Cybersecurity
• Network Security
• IoT Security
• +۵ مورد دیگر

Prof. Joaquin GARCIA ALFARO is a Professor at Telecom SudParis, affiliated with the SCN department. His research focuses on cybersecurity, network security, quantum computing applications, and resilience engineering in cyber-physical systems. He has contributed to advancements in intrusion detection systems, blockchain integration in cellular networks, and privacy-preserving frameworks for IoT and healthcare. University: Telecom SudParis Key Research Areas: Cybersecurity, Quantum Computing, IoT Security, Resilience Engineering Labs: SAMOVAR laboratory His work emphasizes practical solutions for real-world challenges, including secure data provenance, digital twin implementations, and energy-efficient edge computing. Recent research explores quantum-resistant protocols and collaborative drone systems.