جست‌وجوی استاد و پژوهشگر

• Photonic Interconnects
• Distributed Machine Learning
• Cloud Computing
• +۴ مورد دیگر

Rachee Singh is an Assistant Professor of Computer Science at Cornell University, leading the sysphotonics group which focuses on photonic interconnects and distributed machine learning systems. She is also an Amazon Scholar in the SageMaker Hyperpod team, specializing in large-scale ML infrastructure. Her research spans photonic fabrics for cloud workloads, WAN optimization, and secure networking. Key research interests include photonic interconnects for multi-accelerator servers, automated reasoning in network systems, and sustainability in cloud infrastructure. She has pioneered solutions like Aqua for memory offloading in LLMs and PipSwitch for programmable photonics-based circuit switching. Major grants include a 2024 NSF grant ($1M) for chip-to-chip photonic fabrics and DARPA/SRC funding via the JUMP 2.0 program. Notable awards include the 2025 Cisco Research Award and 2024 Amazon Research Award. Her work has been featured in top venues like ASPLOS, SIGCOMM, and NSDI. Rachee advises students such as Abhishek Vijaya Kumar (distributed ML) and Zhiying Xu (WAN optimization). Her sysphotonics group collaborates with industry partners like Amazon and Cisco, addressing challenges in photonic connectivity and planet-scale cloud systems.

Sandra Gail Biedronمشاهده پروفایل

استاد پژوهشی

• Particle Accelerator Systems
• Laser Systems
• Artificial Intelligence in Controls
• +۵ مورد دیگر

Sandra Gail Biedron is a Research Professor in the Department of Electrical and Computer Engineering at the University of New Mexico (UNM), with a secondary appointment in Mechanical Engineering. Previously, she held roles at Colorado State University (CSU) as an Affiliate Professor and at Argonne National Laboratory. She leads Element Aero, a research company, and has served as a Visiting Professor at the University of Ljubljana. Her expertise spans particle accelerators, laser systems, AI-driven controls, and applications in security/defense. Education: B.A. in Chemistry and Biology, Trinity Christian College (1994) Ph.D. in Accelerator Physics, Lund University (2001) Research Interests: Particle accelerator systems and laser technologies AI integration in complex systems (e.g., controls, prediction) Security/defense applications (e.g., detectors, sensors) Quantum information science (Coulomb crystals in storage rings) High-power lasers and free-electron lasers (FELs) Accelerator-based science, including dark matter detection Awards & Recognition: IEEE Nuclear and Plasma Sciences Society Award (2018) George T. Abell Mid-Career Faculty Award (2013) APS Fellow, OSA Senior Member, SPIE Fellow Advising & Projects: Ph.D. students: Aasma Aslam (UNM/Computer Science), Jorge Diaz Cruz (UNM/ECE), Reza Pirayesh (UNM/ME) Lead roles in DOE projects, defense contracts, and international collaborations Deputy Lead Engineer for a Boeing defense project Labs & Teams: Research group includes postdocs and scholars (e.g., Trudy Bolin, Salvador Sosa) Collaborations at Brookhaven National Lab (ATF), CERN, and Sincrotrone Trieste

Andreas Theocharisمشاهده پروفایل

استادیار

• Renewable Energy Systems
• Electrical Power Systems
• Smart Grids
• +۸ مورد دیگر

Andreas Theocharis is an Assistant Professor in Electrical Engineering at Karlstad University, specializing in Electrical Power Systems and Renewable Energy Systems Research. His research focuses on renewable energy integration, smart grid technologies, and advanced modelling of electrical components like transformers and photovoltaic systems. He collaborates with institutions such as Ellevio, KTH, Delft University of Technology, and industry partners like Siemens and Vestas. Teaching responsibilities include courses on electric circuits, power systems operation, renewable energy applications, and grid integration. His work bridges academia and industry, addressing challenges in sustainable energy systems through advancements in AI, machine learning, and IoT. Research contributions span photovoltaic generator modelling, battery storage optimization, and electromagnetic compatibility. Key publications address generative AI for renewable energy communities, uncertainty quantification in solar forecasting, and robust energy management strategies. Collaborations involve global networks with universities in the Netherlands, Norway, Greece, and industry leaders in energy sectors. His expertise in transformer dynamics and smart grid solutions supports practical implementations of sustainable energy frameworks.

Michael Galiliمشاهده پروفایل

دانشیار

• High-Speed Optical Communications
• Silicon Photonics
• Nonlinear Fiber Optics
• +۴ مورد دیگر

Michael Galili is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU). He is affiliated with the High-Speed Optical Communications Centre of Excellence for Silicon Photonics. His research focuses on high-speed optical communication systems, including nanotechnology-based components like optical filters and ultra-fast lasers for data signal processing. He explores novel solutions to handle data rates exceeding 320 Gbit/s using photonics, addressing challenges in signal processing and system design beyond traditional electronic limits. Galili leads the Nano-COM project developing nanotechnology-driven optical communication components. His work integrates advanced photonics with fiber optics, emphasizing optical signal processing, nonlinear effects, and quantum communication systems. He has supervised multiple PhD students in areas such as quantum communication multiplexing, frequency conversion, and mode division multiplexing. His recent publications span topics including all-optical switching via Fano resonance, parametric spectral shaping, and long-haul unrepeated transmission systems. He has received awards such as the Jorcks forskningspris (2021) and AEG Elektronprisen (2023). His lab, part of DTU’s Fotonik research group, collaborates internationally on projects like photonic lanterns and silicon carbide-based Kerr combs for ultra-high-speed data transmission.

Russ Algarمشاهده پروفایل

استاد

• Luminescent Materials
• Fluorescence Spectroscopy
• Bio/Chemical Sensing
• +۷ مورد دیگر

Russ Algar is a Professor at the Department of Chemistry within the Faculty of Science at the University of British Columbia (UBC) . Holding a Canada Research Chair (Tier 2) in Biochemical Sensing since 2012 and a Michael Smith Foundation for Health Research Scholar since 2014, he leads the Algar Research Group , focusing on luminescent materials for bioanalysis, fluorescence spectroscopy, FRET networks, and point-of-care diagnostic devices. Ph.D. , University of Toronto (2010) M.Sc. , University of Toronto (2006) Hon.B.Sc. , University of Toronto (2005) His research spans luminescent materials , biochemical sensing , FRET-based probes , and smartphone-integrated diagnostic platforms . Recent work emphasizes quantum dot bioconjugates , supra-nanoparticle assemblies , and environmental nanoparticle interactions . Publications highlight innovations in time-gated spectroscopy , photonic logic gates , and sterically controlled enzymatic assays . Key trends in his work include quantum dot-based diagnostics (14% of recent articles), FRET network engineering (12%), point-of-care devices (10%), nanoparticle surface chemistry (9%), and single-molecule detection (8%). Collaborations extend to UBC's LASIR , Hudson Group , and TRIUMF . Canada Research Chair (2012-Present) Michael Smith Foundation Scholar (2014-Present) NSERC Postdoctoral Fellowship (2010-2012) UBC Chemistry Basic Skills Test developer Editorial Board : Analytical Chemistry Research , Chemosensors , Nano Reviews The group develops quantum dot-biomolecule conjugates for intracellular sensing and low-cost diagnostic tools . Current projects involve photonic molecular logic , bioconjugation chemistries , and single-molecule imaging systems . Funding comes from NSERC , Michael Smith Foundation , and Canada Research Chairs program.

Anna Fontcuberta i Morralمشاهده پروفایل

استاد

• Semiconductor Nanostructures
• Nanowires
• Photovoltaic Systems
• +۴ مورد دیگر

Anna Fontcuberta i Morral is a Full Professor at the Institute of Materials (IMX) within the School of Engineering (STI) at École polytechnique fédérale de Lausanne (EPFL) . She serves as President of EPFL since 2021, with a dual role in academic leadership and research. Her research focuses on: Semiconductor nanostructures (particularly GaAs and InP nanowires) Quantum photonics and optoelectronics Photovoltaic device engineering Thin film synthesis techniques (MBE, sputtering) Spintronic materials (chiral magnets like CoZnMn and FeGe) Strain-free vdW growth on graphene Recent work spans solar cells exceeding Shockley–Queisser limits, quantum dot integration, and skyrmion-hosting thin films. She has supervised over 30 PhD students and received a Marie Curie Excellence Grant (2005–2010). Key grants & roles: Research counselor, Swiss National Science Foundation (2016–) Founder, Section Editor of EPFL Publications (2016–) Lead on H2020 and FNS-funded projects

Mingzhao Liuمشاهده پروفایل

استاد مدعو

• Materials Science
• Quantum Information Science
• Solar Energy Conversion
• +۷ مورد دیگر

Dr. Mingzhao Liu is a Senior Scientist at the Center for Functional Nanomaterials (CFN) within Brookhaven National Laboratory and has served as an Adjunct Professor in the Department of Materials Science and Chemical Engineering at Stony Brook University since 2014. Education: B.S. in Chemistry, Peking University (2002) Ph.D. in Chemistry, University of Chicago (2007) His research bridges two cutting-edge domains: solar energy conversion and quantum information science . For solar energy, he focuses on synthesizing defect-free bismuth vanadate photoelectrodes for hydrogen production via water splitting. For quantum applications, he investigates superconducting metal silicides to enhance qubit stability and coherence, while leading materials subthrust efforts in the Co-design Center for Quantum Advantage (C 2 QA). His work leverages advanced techniques like pulsed laser deposition (PLD), atomic layer deposition (ALD), and in situ x-ray spectroscopy to understand atomic-scale material behavior. Recent publications emphasize interface engineering , surface oxidation control , and defect mitigation in quantum and energy materials. Scientific awards include the Brookhaven Spotlight Award (2012, 2014), Yang Cao-Lan-Xian Thesis Award (2008), and the Albert J. Cross Prize (2006). He was a Peking University Mingde Scholar and earned a Gold Medal at the 30th International Chemistry Olympiad (1998). Dr. Liu manages advanced fabrication tools at CFN, including PLD systems and sputtering apparatus , and collaborates with institutions like Princeton University and IBM through C 2 QA. His work integrates theory-experiment feedback loops to correlate material properties with device performance.

• Aerospace control systems
• Autonomous and assisted vehicles
• Biomedical engineering
• +۸ مورد دیگر

Carlo Novara is a Full Professor at Politecnico di Torino, affiliated with the Department of Electronics and Telecommunications (DET) and the Interdepartmental Center CARS@PoliTO - Center for Automotive Research and Sustainable Mobility. He serves as a member of the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. His research interests span aerospace control systems, autonomous and assisted vehicles, biomedical engineering, design of experiments, energy system control and optimization, model predictive control, modeling and simulation, set membership estimation, statistical analysis, system identification, machine learning, complex networks and systems, prediction and estimation, and quantum optimization. His work focuses on nonlinear and LPV system identification, filtering/estimation, time series prediction, nonlinear control, predictive control, data-driven methods, set membership methods, sparse methods, and nonlinear optimization with applications in automotive, aerospace, biomedical, and energy domains. His recent publications demonstrate strong trends in nonlinear model predictive control, physics-based system identification, and space applications. Many papers focus on computational efficiency for real-time control, with increasing emphasis on quantum optimization techniques and space mission applications like the LISA mission. His work bridges theoretical control methods with practical applications in automotive, aerospace, and energy systems. Professional Recognition: Member of IEEE TC on System Identification and Adaptive Control Member of IFAC TC on Modelling, Identification and Signal Processing Founding member of IEEE-CSS TC on Medical and Healthcare Systems Professor Novara has supervised numerous PhD students including Lucrezia Lovaglio, Giovanni Marinello, Francesco Cerrito, Sabrina Savino, Cesare Donati, and Mattia Boggio. His research has been supported by significant grants including the CNMS - Spoke 2 Sustainable Mobility Center (2022-2025), PRYSTINE ECSEL project (2018-2021), and multiple commercial research contracts with ESA and other aerospace organizations. He leads research in the Automatica research group at DET, focusing on advanced control algorithms for aerospace applications, data-driven control of autonomous vehicles and biomedical systems, quantum optimization for complex system design, and modeling and optimization of networked systems.

Theo Scholtesمشاهده پروفایل

پژوهشگر

• Quantum Magnetometry
• Dark Matter Detection
• Atomic Physics
• +۳ مورد دیگر

Dr. Theo Scholtes is a researcher in the Quantum Systems department at the Leibniz Institute for Photonics (Leibniz-IPHT), specializing in quantum magnetometry and dark matter detection. He leads the Quantum Magnetometry working group and has developed advanced optically pumped magnetometer (OPM) systems for ultrasensitive magnetic field measurements. Key research areas: Quantum magnetometry, dark matter detection, sensor technology Notable collaborations: Global Network of Optical Magnetometers for Exotic physics searches (GNOME) His work focuses on overcoming technical limitations in OPMs, including dead zones, heading errors, and transient phase responses. He has pioneered innovations like the light-shift dispersed Mz mode, omnidirectional magnetic field sensitivity, and passivated gold mirror integration in alkali vapor cells. Recent publications (2023-2025) address vector magnetometry in Earth's magnetic field, dead-zone-free sensors, and domain wall detection for dark matter. Earlier work (2016-2020) includes laser stabilization techniques and magnetorelaxometry in biomedical contexts.

Andrew A. Houckمشاهده پروفایل

استاد

• Quantum Engineering
• Circuit Quantum Electrodynamics (cQED)
• Superconducting Quantum Computing
• +۷ مورد دیگر

Andrew A. Houck is the Anthony H.P. Lee '79 P11 P14 Professor of Electrical and Computer Engineering at Princeton University's School of Engineering and Applied Science. He serves as Dean of the School and inaugural Co-director of the Princeton Quantum Initiative. Ph.D., Harvard University (2005) B.S.E., Electrical Engineering, Princeton University (2000) His research focuses on superconducting quantum computing and quantum simulation via circuit quantum electrodynamics (cQED). Key areas include photonic bandgap engineering , nonlinear quantum optics , and machine learning optimization for quantum systems. His lab investigates robust qubit architectures, decoherence mitigation, and many-body quantum physics in photonic crystals. Recent publications demonstrate expertise in superconducting circuit design, quantum control instrumentation (QICK platform), and photonic material engineering. Collaborative work spans quantum computing hardware, error correction protocols, and nonlinear microwave photonics. Honors : Presidential Early Career Award (2010), NSF Early Career Award (2010), Packard Fellow (2009), TR35 (2009), Sloan Research Fellow (2009), Blavatnik Award Finalist (2008) Houck advises numerous graduate students, including Matthew Bland , Jeronimo Martinez , and Paal Prestegaard . His lab partners with the Co-design Center for Quantum Advantage and Princeton's Interdisciplinary Quantum Science Network .

• Metasurfaces
• Wireless Power Transfer
• Nanophotonics
• +۳ مورد دیگر

Francisco Cuesta is a Postdoctoral Researcher at Aalto University's Department of Electronics and Nanoengineering. His work focuses on advanced electromagnetic systems and metasurface applications. Research Interests Metasurface design and wave manipulation Coherent illumination systems Wireless power transfer optimization Light localization in nanophotonic structures Scientific Achievements Sergei A. Schelkunoff Transactions Prize Paper Award (2019) for outstanding contributions to the IEEE Transactions on Antennas and Propagation

Christopher Lee Baldwinمشاهده پروفایل

استادیار

• Quantum Computing
• Spin Glasses
• Lieb-Robinson Bounds
• +۵ مورد دیگر

Christopher Lee Baldwin is an Assistant Professor in the Department of Physics & Astronomy at Michigan State University, where he leads a research group focused on theoretical condensed matter physics. He joined MSU in August 2023 after holding postdoctoral positions at the University of Maryland and the National Institute of Standards and Technology (NIST). Education: Ph.D. in Physics, University of Washington (2018) B.Sc. in Physics, Carnegie Mellon University (2013) Research Focus: Baldwin's work centers on non-equilibrium quantum systems, with particular emphasis on disorder effects in quantum dynamics. Primary research domains include quantum annealing for optimization problems, Lieb-Robinson bounds for information propagation in disordered systems, quantum spin glasses, and connections between quantum chaos and many-body localization. His group explores fundamental mechanisms in quantum computing and statistical physics. Scientific Recognition: National Research Council Postdoctoral Fellowship (2018-2021) Academic Advising: Currently mentors graduate students Ian Neuhart and Shahriyar Dadgar, and undergraduate researcher An Le. Teaches undergraduate optics (PHY 431) and graduate statistical mechanics (PHY 831).

Antonio Calà Lesinaمشاهده پروفایل

استاد

• Computational Electromagnetics
• Nanophotonics
• Metamaterials
• +۷ مورد دیگر

Antonio Calà Lesina is a Full Professor in Computational Photonics at the Leibniz University Hannover , leading research at the Hannover Centre for Optical Technologies . His academic journey includes a PhD in Information and Communication Technology from the University of Trento (2013), followed by postdoctoral and associate professor roles at the University of Ottawa (2013–2020). His research spans Nanophotonics , Metamaterials , and Plasmonics , focusing on inverse design, topology optimization, and dynamic control of optical systems via multiphysics simulations. Education : PhD (University of Trento, 2013); MSc in Telecommunications Engineering (University of Catania); BSc in Electronics Engineering (University of Catania) Current Position : Full Professor (Leibniz University Hannover, 2020–2025) His work explores Light-Matter Interactions and Nanostructures , with recent publications on anapole states , multiresonant metasurfaces , and hyperbolic metamaterials . He employs Finite-Difference Time-Domain (FDTD) simulations and deep learning for inverse design in nanophotonics. Collaborations include institutions like the University of Ottawa and research centers in Europe, aligning with the EULiST alliance . Despite no explicit awards mentioned, his contributions to optical beam steering , nonlinear metasurfaces , and machine learning integration highlight his impact in the field.

Giuseppe Santoroمشاهده پروفایل

استاد

• Dynamics of quantum systems out-of-equilibrium
• Quantum dissipation
• Nanoscale friction
• +۵ مورد دیگر

Giuseppe Santoro is a Full Professor at the International School for Advanced Studies (SISSA) , affiliated with the Condensed Matter Theory sector. His research focuses on understanding the dynamics of quantum systems out-of-equilibrium , including thermalization, integrability, and periodically driven systems, as well as nanoscale dissipation in both quantum and classical contexts. Dynamics of closed and open quantum systems Nano-friction and lubrication Quantum annealing and optimal control Topological quantum phenomena His recent publications (2023-2025) highlight expertise in quantum simulation , topological effects , optimal control , and dissipative dynamics , with applications to nanoscale systems and frustrated models. Key themes include quantum annealing , Floquet theory , and many-body localization , reflecting interdisciplinary work at the intersection of quantum physics, materials science, and computational methods.

Pavel Cejnarمشاهده پروفایل

استاد

• Quantum Theory
• Quantum Chaos
• Quantum Phase Transitions
• +۳ مورد دیگر

Pavel Cejnar is a Professor at the Institute of Particle and Nuclear Physics, Faculty of Mathematics and Physics, Charles University in Prague. He has been a full professor since 2012, following his appointment as an associate professor in 2004 and assistant professor in 1995. His research focuses on quantum theory, particularly quantum phase transitions, quantum chaos, and nuclear structure models as laboratories for studying quantum phenomena. Cejnar received his Master's degree in nuclear physics from Charles University in 1988, his Ph.D. in 1995 with a thesis on "statistical modelling of nuclear processes," and his Doctor of Science (DSc.) in 2010. He has held research positions at several international institutions including the University of Fribourg, Yale University, Michigan State University, University of Stellenbosch, University of Cologne, and the European Center for Theoretical Studies in Nuclear Physics in Trento. His research interests span quantum chaos, quantum phase transitions, quantum entanglement, and quantum computing. He views nuclear-structure models as ideal laboratories for studying quantum effects. His work has significant implications for understanding fundamental quantum phenomena in many-body systems. Professor Cejnar's publications show a strong focus on excited-state quantum phase transitions, with numerous papers exploring the connections between quantum criticality, quantum dynamics, and many-body physics. His recent work has delved into quantum geometry, open quantum systems, and the application of quantum phase transitions to quantum information processing. Among his notable scientific contributions are the development of theoretical frameworks for understanding quantum phase transitions in nuclear models and their extensions to other quantum systems. His work bridges nuclear physics with broader quantum physics concepts. Cejnar has supervised numerous students at various levels, from bachelor's theses to PhD dissertations, with research topics centered around quantum phase transitions, quantum chaos, and quantum information. He is also actively involved in teaching quantum mechanics and related topics to both physics students and non-specialists. He has contributed significantly to science popularization, including co-authoring the book "Einstein again in Prague" and developing the "Physics as an Adventure of Knowledge" course, which introduces key concepts of modern physics to bachelor's students.