جست‌وجوی استاد و پژوهشگر

Han Puمشاهده پروفایل

استاد

• Theoretical Physics
• Quantum Mechanics
• Ultracold Atomic Physics
• +۳ مورد دیگر

Han Pu is a Professor in the Department of Physics and Astronomy at Rice University, specializing in theoretical ultracold atomic physics. His work focuses on quantum properties of atoms/molecules at near-absolute-zero temperatures, exploring wave-particle duality and quantum systems' controllability. He joined Rice in 2003 after postdoctoral research at the University of Arizona (1999-2002). Education: PhD in Physics, University of Rochester, 1999 Research Interests: Spin-orbit coupled quantum gases Quantum magnetism in atomic gases Non-equilibrium dynamics of quantum gases One-dimensional quantum gas behavior Spin-charge separation phenomena Quantum simulation with trapped ions Research Contributions: Dr. Pu's work bridges atomic physics with quantum optics and condensed matter physics. Recent studies include developing protocols for entanglement quantification using spin squeezing, simulating electron transfer models via trapped ions, and exploring phase transitions in Dicke systems. His team also investigates exact solutions for the Hubbard model and employs machine learning to approximate quantum spin systems. Lab Affiliation: Core member of the Rice Laboratory for Ultracold Physics (RLUP), advancing experimental/theoretical collaborations in quantum systems.

Naveed Mahmudمشاهده پروفایل

استادیار

• Quantum Computing
• Hybrid Quantum-Classical Systems
• Machine Learning Applications in Quantum Contexts
• +۳ مورد دیگر

Naveed Mahmud is an Assistant Professor at the Department of Electrical Engineering and Computer Science, Florida Institute of Technology. He specializes in quantum computing, hybrid quantum-classical systems, and reconfigurable computing architectures. His research focuses on optimizing quantum algorithms, data encoding/decoding techniques, and secure communications using quantum technologies. Research interests include quantum-classical integration, algorithm emulation on high-performance reconfigurable computers, and applications of quantum computing in pattern recognition and cryptography. Key areas of exploration are hybrid quantum-classical machine learning, quantum wavelet transforms, and securing free-space optical communications with quantum key distribution. His recent work emphasizes scalability and efficiency in quantum computing frameworks, including frameworks like QASM-to-HLS for quantum circuit acceleration, and decoherence-optimized quantum circuits. Articles highlight advancements in quantum data decoding, algorithm emulation, and secure communication systems. No scientific awards or formal advisees are listed. His profile includes links to ORCID, Google Scholar, and ResearchGate for further details on publications and collaborations.

• Machine Learning
• Deep Learning
• Cybersecurity
• +۴ مورد دیگر

Dr. Yi Wang is an Associate Professor and Department Chairperson of the Electrical and Computer Engineering Graduate Programs at Manhattan College, New York. He also serves as Director of the Electrical & Computer Engineering Graduate Program. His research focuses on machine learning, deep learning, cybersecurity, blockchain, and their applications in cyber-physical systems. Dr. Wang is an IEEE Senior Member (since 2021) and has secured NSF grants totaling over $149,000. Education: Ph.D. Computer Engineering, University of Alabama in Huntsville M.S. Computer Science, Wuhan University of Science and Technology B.S. Information Systems, Wuhan University of Science and Technology Research Interests: Machine learning and deep learning algorithms Cybersecurity for IoT and smart grids Blockchain applications in attribute-based access control Adversarial machine learning defense mechanisms Optical fiber communication systems Recent Publications Trends: His work spans blockchain platform comparisons, adversarial attack mitigation in power systems, and AI-driven smart home solutions. He frequently publishes in IEEE journals and conferences. Awards: Best Paper Award at 2017 IEEE UEMCON Best Paper Award at 2015 ICDIP Grants and Advising: Principal Investigator for NSF-funded UIRiSCS project (2022–2025). Co-Principal on NYC DOT Loading Zone Study. Recipient of Manhattan College Faculty Summer Grants (2021, 2017). Advises graduate students in cybersecurity and IoT research. Labs/Teams: Collaborates with the University of Zaragoza, Spain on smart systems research. Leads projects on plastic optical fiber networks and AI-driven smart home systems.

Magnus O. Borghمشاهده پروفایل

دانشیار

• Theoretical Physics
• Computational Physics
• Ultracold Atoms
• +۵ مورد دیگر

Magnus O. Borgh is an Associate Professor in Physics at the University of East Anglia's School of Engineering, Mathematics and Physics. He is a member of the Centre for Photonics and Quantum Science and Quantum Matter, focusing on theoretical and computational physics in ultracold atoms, quantum optics, and topological phenomena in Bose-Einstein condensates. PhD in Physics, Lund University, Sweden Swedish Research Council Postdoctoral Stipend, University of Cambridge Leverhulme Early Career Fellowship, University of Southampton EPSRC Postdoctoral Fellowship, University of Southampton His research explores quantum fluids , particularly topological objects like vortices and defects in spinor Bose-Einstein condensates, and light-matter interactions at atomic scales. Recent projects include predicting 'superatom' behavior in cooperative light scattering, detecting phonon dynamics via photon responses, and describing spin-Alice rings with parallels to quantum-field theory. Key trends in his publications highlight topological defect structures (monopoles, Alice rings, vortices), quantum phase transitions , and non-Abelian symmetries in spinor systems. He investigates how discrete and continuous symmetries influence defect dynamics and applies theoretical models to experimental scenarios, often collaborating internationally. Swedish Research Council Postdoctoral Stipend Leverhulme Early Career Fellowship EPSRC Postdoctoral Fellowship Collaborative grants with institutions like University of Cambridge and University of Southampton Borgh supervises research projects and advises self-funded PhD candidates. He participates in school engagement lectures (e.g., Quantum Mechanics and Entanglement, 2023) and serves as an external examiner at Newcastle University. His work resides in the Centre for Photonics and Quantum Science , integrating computational methods with experimental collaborations.

Adam Kaufmanمشاهده پروفایل

دانشیار

• Quantum Mechanics
• Quantum Entanglement
• Atomic, Molecular, and Optical Physics
• +۳ مورد دیگر

Adam Kaufman is an Associate Professor and Adjoint Fellow at JILA, a joint institute of the University of Colorado Boulder and NIST. He holds a faculty appointment in the Department of Physics at CU Boulder and collaborates closely with NIST researchers. His research focuses on quantum science, leveraging atomic, molecular, and optical physics to explore entanglement in complex systems, quantum coherence, and precision measurement. Key interests include quantum metrology with atomic clocks, quantum simulation using optical tweezers, and the development of qubit architectures with alkaline-earth atoms. Research Interests: - Investigating entanglement in quantum systems for both fundamental understanding and practical applications in condensed matter physics. - Pushing the limits of quantum coherence in optical tweezers to build scalable quantum states. - Developing tools like microscopy and precision spectroscopy to study ultra-cold atoms. Publications reflect advancements in optical clocks, quantum error correction, and boson sampling with atoms. Notable trends include innovations in multi-qubit gates for precision timing, Rydberg atom arrays for quantum magnetism, and cryogenic systems for extended coherence times. Scientific Awards: PECASE, Gordon and Betty Moore Foundation Grant, Friedrich Wilhelm Bessel Research Award. Advising includes mentoring students like Aaron Young (Deborah Jin Award recipient) and Matthew Norcia (IUPAP Prize). Grants include NSF Q-SEnSE funding and collaborations through CUbit Quantum Initiative. Lab activities focus on JILA’s optical tweezer arrays, cryogenic systems, and Ytterbium-based qubit development. Projects aim to realize scalable quantum processors and novel quantum sensors.

Bernd Sturmfelsمشاهده پروفایل

استاد

• Algebraic Geometry
• Combinatorics
• Commutative Algebra
• +۴ مورد دیگر

Bernd Sturmfels is a leading mathematician serving as Director of the Max Planck Institute for Mathematics in the Sciences in Leipzig since 2017. He is also Professor Emeritus of Mathematics, Statistics, and Computer Science at the University of California, Berkeley, and holds honorary professorships at the Technical University of Berlin and the University of Leipzig. His research bridges pure and applied mathematics, with foundational contributions to algebraic geometry, combinatorics, and computational biology. Education: Sturmfels earned dual Ph.D. degrees in 1987 from the University of Washington and Technische Universität Darmstadt, followed by an honorary doctorate from Goethe University Frankfurt in 2015 and additional honorary doctorates from the University of Bern (2023) and the University of Chicago (2024). Research Interests: His work spans algebraic geometry , combinatorics , commutative algebra , algebraic statistics , convex optimization , and computational biology . He explores deep connections between abstract algebraic structures and practical applications in statistics, optimization, and the life sciences. Publications and Trends: With over 300 research articles and 11 books, his recent work (2022–2025) focuses on advanced topics like Grassmannian geometry, tropical implicitization, quantum chemistry applications, and algebraic statistics. His research increasingly integrates computational methods with theoretical insights, addressing problems in machine learning, phylogenetics, and optimization. Awards and Honors: Sturmfels has received numerous prestigious awards, including: George David Birkhoff Prize in Applied Mathematics (2018) SIAM von Neumann Lecturership (2010) Humboldt Senior Research Prize (2007–2008) David and Lucile Packard Fellowship (1992–1997) Fellowships of the AMS and SIAM Membership in the Berlin-Brandenburg Academy of Sciences and Humanities Mentoring and Grants: He has supervised 60 doctoral students and numerous postdocs, with many securing positions at leading institutions. His mentoring philosophy emphasizes diversity and excellence, as highlighted in his Notices of the AMS article. Funding sources include the NSF, DARPA, and the German National Science Foundation (DFG). Labs and Teams: At the Max Planck Institute, he leads the Nonlinear Algebra group, fostering interdisciplinary collaboration between mathematics and the sciences. His team focuses on developing algebraic methods for data analysis, optimization, and theoretical physics.

Ryan P. McMahanمشاهده پروفایل

دانشیار

• Extended Reality (XR)
• Virtual Reality (VR)
• Learning Sciences
• +۳ مورد دیگر

Dr. Ryan P. McMahan is an Associate Professor of Computer Science and Learning Sciences at the University of Central Florida (UCF), leading the eXtended Reality & Training (XRT) Lab. He holds a Ph.D. from Virginia Tech (2011) and has expertise in leveraging XR/VR technologies for training and education. His work emphasizes enhancing learning outcomes through immersive systems, with over $3.4M in secured funding. He is an NSF CAREER Award recipient and authored the textbook 3D User Interfaces: Theory and Practice (2nd Ed.). Education Ph.D. Computer Science, Virginia Tech (2011) M.S. Computer Science, Virginia Tech (2007) B.S. Computer Science, Virginia Tech (2004) Research Interests focus on XR/VR applications in education, human-computer interaction, and training systems. Key areas include interaction fidelity, personalized learning, and embodied cognition in virtual environments. Awards include the NSF CAREER Award and teaching accolades such as UCF’s 2023 Excellence in Graduate Teaching Award. His research has generated 5,000+ citations with a h-index of 26. Professional Engagement includes roles as IEEE TVCG Associate Editor and organizer of ICAT-EGVE 2020. He mentors students in UCF’s Mixed Reality Engineering Graduate Certificate program and advises initiatives like Girls Who Code.

• Organic Electronics
• Photovoltaics
• Material Science
• +۳ مورد دیگر

Evelyne Knapp is a Researcher at the ZHAW School of Engineering, Zurich University of Applied Sciences, within the Organic Electronics & Photovoltaics research focus area. Her work centers on advanced materials science, semiconductor physics, and machine learning applications in energy systems. She has led major projects such as 'Uncertainty quantification in ML Prediction for PV Quality Assurance' and contributed to innovations in perovskite solar cell optimization, organic semiconductor characterization, and device simulation models. Her research interests span photovoltaic technologies, charge transport phenomena, and optoelectronic device development. Key areas include: Perovskite solar cell performance analysis and degradation mechanisms Machine learning-driven parameter extraction for semiconductor materials Electro-thermal modeling of organic light-emitting devices Frequency-domain analysis of large-area solar cells Knapp's publications (over 30 peer-reviewed articles) demonstrate expertise in device simulation, material characterization, and interdisciplinary approaches merging computational methods with experimental data. Recent work highlights include: Advancing ML techniques to identify limiting parameters in perovskite solar cells Developing inverse models for solar cell parameter estimation Quantifying charge transport dynamics in organic semiconductors Her contributions have been presented at leading conferences including the IEEE Photovoltaic Specialists Conference and the Society for Information Display Symposium.

• Quantum Nanoelectronics
• Nanomechanics
• Condensed Matter Physics
• +۳ مورد دیگر

Prof. Adrian Bachtold is a Professor at the Institute of Photonic Sciences (ICFO), leading the Quantum NanoElectronics and NanoMechanics group. His research focuses on quantum phenomena in nanoscale systems, including twisted bilayer graphene, carbon nanotubes, and nanomechanical resonators. He explores quantum transport, mechanical resonators with ultra-long lifetimes, and applications in quantum simulation and quantum bits. Research Interests: Quantum electrical, mechanical, and optical properties of nanodevices Mesoscopic investigation of quantum electron transport Electromechanical resonators for quantum sensing Development of mechanical qubits His work has led to significant advancements, such as nonlinear nanomechanical resonators approaching the quantum ground state and ultra-broadband photodetection using twisted graphene. He has secured funding through projects like MechQSim (EU), BBVA Fundamentos Grant (2024), and grants from the Spanish Ministry of Science and Innovation. Awards: BBVA Fundamentos Grant (2024) Fundació CELLEX Barcelona Grant He actively mentors students and researchers at all levels (Master’s, PhD, Postdoc) and is involved in recruiting talent for projects in quantum electromechanics and matter physics. His group collaborates on initiatives like ICFO's QTWIST program, advancing the frontiers of quantum nanotechnology.

Robert Raussendorfمشاهده پروفایل

استاد

• Quantum Information
• Measurement-Based Quantum Computation
• Quantum Fault-Tolerance
• +۴ مورد دیگر

Robert Raussendorf is a Professor at the Institute of Theoretical Physics, part of the Faculty of Mathematics and Physics at Leibniz University Hannover. He leads the research group focusing on quantum information, particularly measurement-based quantum computation (MBQC) and quantum fault-tolerance. His work includes the invention of the one-way quantum computer (QCc), a paradigm where quantum computations are performed via local measurements on entangled cluster states. Raussendorf’s research bridges foundational quantum mechanics with practical applications, emphasizing the role of contextuality and resource states in quantum advantage. Research Interests: His primary areas include quantum computation models, quantum cellular automata, topological error correction, and the foundational aspects of quantum mechanics. He explores how quantum principles like entanglement and contextuality enable computational power, with recent focus on symmetry-protected systems and efficient quantum architectures. Articles Trends: Recent publications highlight advancements in measurement-based computation, error correction strategies, and theoretical frameworks like contextuality and cohomology. Notable work includes high-error-threshold architectures and the application of dual-unitary circuits in one-dimensional systems. Lab/Team: His team includes postdocs (e.g., Markus Frembs, Martin Plávala) and doctoral candidates (e.g., Arnab Adhikary, Ruben Campos Delgado), collaborating on topics like quantum error tolerance, computational phases of matter, and algorithm optimization. The group also engages in interdisciplinary projects with institutions like the Stewart Blusson Quantum Matter Institute.

Steven Rolstonمشاهده پروفایل

استاد

• Atomic, Molecular & Optical Physics
• Quantum Science and Technology
• Quantum Information
• +۳ مورد دیگر

Steven Rolston is a Professor & Chair of the Department of Physics at the University of Maryland, College Park. He is a Fellow of the Joint Quantum Institute (JQI), American Association for the Advancement of Science (AAAS), American Physical Society (APS), and the Optical Society of America (OSA). He earned his B.S. from Wesleyan University (1980) and Ph.D. from Stony Brook University (1986). His research focuses on atomic, molecular, and optical (AMO) physics, with emphasis on quantum science and technology, including ultracold plasmas, quantum information, and optical lattices. He leads the Rolston Research Group, supervising graduate students and postdoctoral researchers in cutting-edge quantum experiments. Recent work includes developing methods for non-destructive photon counting, recognized by the 2023 UMD Quantum Invention of the Year Award. He teaches advanced quantum physics courses (Physics 401/402) and contributes to initiatives like the NSF Quantum Leap Challenge Institute. Education: B.S., Wesleyan University (1980); Ph.D., SUNY Stony Brook (1986) Affiliations: JQI, Quantum Technology Center Research interests span quantum technologies, ultracold matter, and photon interactions. His group's innovations include tailoring photon interactions for quantum applications, as highlighted in recent breakthroughs like 'two photons company, three’s a crowd' phenomena. Awards include the Kirwan Undergraduate Education Award for teaching excellence. Awards: AAAS Fellowship, APS Fellowship, OSA Fellowship Advising and mentorship: Directs a dynamic group of graduate students and postdocs, including alumni like Jonathan Hoffman (now at DARPA). Collaborates on grants and interdisciplinary projects, such as quantum simulation initiatives. Lab facilities include state-of-the-art quantum optics setups at the UMD Department of Physics.

Soonwon Choiمشاهده پروفایل

استادیار

• Quantum Information Science
• Atomic Physics
• Condensed Matter Theory
• +۳ مورد دیگر

Soonwon Choi is the Victor F. Weisskopf Career Development Assistant Professor of Physics at the Massachusetts Institute of Technology (MIT), affiliated with the MIT Center for Theoretical Physics (CTP-LI). He holds a PhD from Harvard University (2018) and was a Miller Postdoctoral Fellow at UC Berkeley before joining MIT in 2021. His research focuses on quantum information science, non-equilibrium dynamics of quantum many-body systems, and their applications in quantum technologies. Education: Bachelor's degree in Physics, California Institute of Technology (2012) PhD in Physics, Harvard University (2018) Research Interests: Quantum ergodicity and thermalization in driven systems Applications of quantum dynamics to metrology and sensing Design of quantum algorithms and error correction strategies Interdisciplinary approaches bridging theory, computation, and experiment Articles Trends: His recent work emphasizes quantum ergodicity, noise learning, and the development of theoretical frameworks for quantum computing. Key themes include exploring universal properties of quantum systems far from equilibrium and advancing quantum technologies through novel control protocols. Awards: 2024 Inchon Award (for quantum science advancements) 2024 Sloan Research Fellow 2023 NSF CAREER Award Grants & Labs: His research is supported by the Simons Foundation and member institutions. He leads efforts in MIT's CTP-LI, focusing on quantum many-body dynamics and experimental collaborations with quantum simulators.

Torsten Johnمشاهده پروفایل

استادیار

• Biophysical Chemistry
• Computational Chemistry
• Biomolecular Self-Assembly
• +۴ مورد دیگر

Torsten John is an Assistant Professor of Physical Chemistry at the School of Science, Constructor University Bremen gGmbH, Germany. His research bridges biophysical chemistry and computational chemistry to engineer biomolecular systems for biomedical applications. PhD in Chemistry (2020) from Leipzig University (summa cum laude) Postdoctoral experience at Max Planck Institute, MIT, and Leibniz Institute of Surface Engineering Research focuses on biomolecular self-assembly and membrane interactions , with implications for antimicrobial strategies , nanomedicine , and neurodegenerative diseases . Articles show interdisciplinary work combining experimental and theoretical approaches . Publications include high-impact journals like Advanced Functional Materials and Nucleic Acids Research . His group develops bionanomaterials using peptide nanofibrils and DNA origami, with applications in viral particle isolation and exciton transport . Collaborations span institutions in Germany, USA, and Australia. Teaching includes Physical Chemistry (CO-440) and Physical Chemistry Lab (CO-446-B) .

Thomas Bilitewskiمشاهده پروفایل

استادیار

• Quantum Many-Body Physics
• Quantum Simulation
• Condensed Matter Theory
• +۹ مورد دیگر

Thomas Bilitewski is an Assistant Professor at Oklahoma State University, specializing in quantum many-body physics and quantum simulation. His research bridges atomic, molecular, and optical physics with condensed matter theory, focusing on systems like ultracold gases, spin lattices, and synthetic dimensions. Geometric frustration and disorder in spin liquids Pauli blocking effects in 2D Fermi gases Quantum chaos and butterfly effect in phase transitions SU(N) symmetric Fermi gases and their thermodynamics Dipolar molecules for quantum metrology Floquet-engineered systems and heating suppression Synthetic dimensions with long-range interactions His recent publications highlight universal phenomena in nonequilibrium systems, including ergodicity breaking, topological phases in Bose-Hubbard ladders, and interaction-induced soliton dynamics. He develops theoretical frameworks for experimental observables in cold atom systems, with a focus on spin squeezing, false-vacuum decay, and tunable pair creation mechanisms. Key collaborations include experimental groups at JILA (University of Colorado Boulder) and Max Planck Institute for the Physics of Complex Systems (Dresden). Current work addresses quantum chaos in classical systems, artificial gauge fields, and disorder-stabilized flat bands.

Hemanta K. Majiمشاهده پروفایل

دانشیار

• Cryptography
• Information Theory
• Secure Computation
• +۴ مورد دیگر

Hemanta K. Maji is an Associate Professor in the Department of Computer Science at Purdue University, affiliated with the College of Science. He joined Purdue in 2015 as an Assistant Professor and was promoted to Associate Professor in 2023. His research focuses on cryptography, information theory, secure computation, and quantum computing, with a particular emphasis on leakage-resilient secret sharing, secure multiparty computation, and cryptographic protocol design. Education: Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (2011), B.Tech. from IIT Kanpur (2004). Postdoctoral research included positions at UCLA’s Center for Encrypted Functionalities (2013–2015) and as a Computing Innovation Fellow (2011–2013). Research interests span theoretical cryptography, including secure computation, information-theoretic cryptography, and algorithmic aspects of privacy-preserving techniques. He has received grants from NSF, IARPA, MITRE, and the Ross–Lynn Research Scholar Grant. His work has led to advancements in leakage-resilient schemes, non-malleable codes, and cryptographic complexity analysis. Key contributions include leakage-resilient Shamir’s secret sharing, secure non-interactive simulation, and geometric approaches to secure two-party computation. His articles address foundational questions in cryptographic protocol design, emphasizing practical applications such as low-latency MPC and collusion-resistant secret sharing. Awards include the 2019 Excellence in Research at Purdue Award and the 2004 Best B.Tech. Project Award from IIT Kanpur. He mentors Ph.D. and master’s students, including Mingyuan Wang, Hai H. Nguyen, and Hamidreza Amini Khorasgani. Teaching includes courses on cryptography, theoretical computer science, and mathematical toolkits for computer science. Labs/Teams: Leads research in secure computation and cryptography, collaborating with institutions like UCLA and MITRE. Active in organizing workshops and guest lectures on cryptographic complexity and information theory.