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James AlsupView profile

Associate Professor

• Theoretical Physics
• Quantum Mechanics
• Condensed Matter Physics
• +4 more

James Alsup is an Associate Professor of Physics at the Department of Applied and Engineering Physics , University of Michigan-Flint , and serves as Director of Academic Programs for the College of Innovation & Technology . He has held visiting positions at the University of Michigan (2019) and Colorado State University - Pueblo (2010–2011). PhD in Physics (2010) His research focuses on theoretical physics , particularly holographic methods in quantum mechanics and condensed matter physics , with applications to black hole hydrodynamics , quantum chaos , and superconductivity . He has published extensively on AdS/CFT correspondence , FFLO states , and inhomogeneous phases in holographic systems. Recent trends in his work include holographic Fermi liquids , non-equilibrium dynamics , and strongly correlated systems , with a focus on computational modeling and mathematical physics. His 15 most recent publications span 2007–2016 and reflect continuous investigation into quantum criticality and gravitational duality . He served as Chair of the Computer Science, Engineering, and Physics Department (2020–2021) and teaches courses like PHY 291: Supervised Study in Physics . Contact: jalsup@umich.edu

Jason W. FleischerView profile

Professor

• Nonlinear Optics
• Wave Physics
• Optical Hydrodynamics
• +7 more

Jason W. Fleischer is a Professor of Electrical and Computer Engineering at Princeton University and an Associated Faculty member in the Princeton Materials Institute (PMI). His research spans multiple disciplines at the intersection of physics, engineering, and computational science. Dr. Fleischer's research focuses on nonlinear optics within the broader context of general wave physics. His work emphasizes propagation problems that are universal to wave systems, leveraging optical systems for controlled input and direct output imaging. Key areas include: Optical hydrodynamics, where nonlinear light propagation is described using fluid flow equations Statistical physics using incoherent light treated as a photonic plasma Quantum optics with megapixel camera-based imaging systems Computational imaging techniques for microscopy and biomedical applications Machine learning approaches for medical diagnostics, particularly for COVID-19 analysis Microfluidic microscopy for high-speed 3D biological imaging His research has identified significant trends in using wave physics principles across multiple domains. Fleischer's group has demonstrated how nonlinear wave mixing can enable higher resolution, increased field of view, and improved signal-noise properties. Recent work has focused on applying physics-informed machine learning to medical imaging, particularly for COVID-19 diagnosis and treatment planning, with AI systems examining patient data holistically through chest x-rays, ultrasound, radiology reports, and blood tests. Dr. Fleischer has received numerous scientific honors: Fellow of Optical Society of America (2012) Department of Energy Plasma Physics Junior Faculty Award (2008) Emerson Electric Company Lawrence Keys '51 Faculty Advancement Award (2007) Lady Davis Postdoctoral fellowship, Israel (2001-2004) University of California Regents Fellowship (1994-1999) General Atomics Plasma Fellowship (1994-1999) Dr. Fleischer has advised over 25 graduate students and postdoctoral researchers who have established successful careers in academia and industry. His research has been supported by various funding agencies enabling interdisciplinary work spanning physics, engineering, and medical applications. Current advisees include Tomo Kiramura-Shimobayashi (postdoc) and graduate students Xiaohang Sun, Yaotian Wang, Mohammad Tariqul Islam, and Shaurya Aarav. He leads the Imaging Physics Group at Princeton, which integrates computation, materials science, and digital technology to revolutionize imaging systems. The group's work often produces counter-intuitive results, such as sharper pictures through defocusing and improved signal detection by adding noise, with applications in biomedical optics and materials science.

Anna WangView profile

Associate Professor

• Astrobiology
• Biophysics
• Soft Matter
• +5 more

Anna Wang is an Associate Professor at the University of New South Wales (UNSW) , based in the School of Chemistry within the Faculty of Science . Her interdisciplinary research bridges physics, chemistry, materials science, and astrobiology to explore the behavior of soft matter and the origins of cellular life . Dr. Wang holds a BSc (Advanced Hons I) from the University of Sydney (2009) , followed by an SM (2013) and PhD (2016) in Applied Physics from Harvard University . She was a NASA Postdoctoral Program Fellow in Astrobiology at Massachusetts General Hospital (2016–2018). Her research focuses on understanding how simple physical and chemical systems can give rise to life-like behaviors. Key research themes include: Self-assembly of lipid membranes and protocells Holographic microscopy for 3D tracking of soft matter Biophysical principles of membrane stability and dynamics Origins of cellular life and prebiotic chemistry Colloidal interactions and phase-separated systems Dr. Wang’s lab uses advanced imaging techniques such as digital holographic microscopy to study the 3D motion and interactions of colloidal particles, vesicles, and protocells. Her work has been published in high-impact journals including PNAS , Nature Communications , ACS Nano , and Soft Matter . Grants & Funding: Human Frontier Science Program (HFSP) Collaborative Research Grant (2020–2023) Australian Research Council Discovery Early Career Research Award (2021–2023) Alfred P. Sloan Foundation “Matter to Life” Grant (2023–2027) Gordon and Betty Moore Foundation Grant (2023–2027) Teaching & Supervision: Dr. Wang teaches courses such as CHEM2921 (Food Chemistry) , CHEM3061 (Chemistry of Materials) , and CDEV3000 (Practice of Work) . She actively supervises Honours, Masters, and PhD students interested in soft matter and origins of life research. Public Engagement: Dr. Wang has contributed to science communication through appearances on PBS Nova , ABC Catalyst , Vox Unexplainable , and public seminars. Her lab website is https://www.annawanglab.com .

Pawel CaputaView profile

Professor

• Quantum Information
• AdS/CFT Correspondence
• Quantum Complexity
• +4 more

Pawel Caputa is a Professor at the Institute of Theoretical Physics, Faculty of Physics, University of Warsaw. His research focuses on quantum complexity, AdS/CFT correspondence, holography, and quantum information theory, with recent work on Krylov basis applications and path integral optimization. University: University of Warsaw School: Faculty of Physics Department: Institute of Theoretical Physics Academic Rank: Professor His research explores the interplay between quantum mechanics, gravity, and information theory, particularly through frameworks like Krylov complexity and modular Hamiltonian evolution. Recent publications highlight advancements in understanding operator growth, topological phase transitions, and holographic entanglement. Notable contributions include the ERC Consolidator Grant for work on quantum complexity measures and participation in international workshops like the YITP "Quantum Extreme Universe" collaboration. His studies bridge theoretical physics with computational models, emphasizing non-equilibrium dynamics and quantum chaos. Scientific Awards: ERC Consolidator Grant Pawel Caputa's articles from 2022-2025 analyze Krylov complexity, AdS/CFT applications, and quantum information dynamics, establishing connections between abstract quantum mechanics and gravitational phenomena.

• Computer Science
• Cybersecurity
• Health Informatics
• +3 more

Si Zuo is a Postdoctoral Researcher at Aalto University's Department of Information and Communications Engineering and the Ambient Intelligence research group. His work focuses on cybersecurity, privacy-preserving technologies, and human-centered computing. He has contributed to secure communication protocols for medical devices, smart home systems, and pervasive surveillance environments. Recent research emphasizes authentication mechanisms leveraging first-person-view video and unsupervised learning techniques for activity recognition. Key research themes include balancing privacy and utility in smart devices, replicability in data-intensive design studies, and secure interaction-free device pairing using biomedical signals. His work bridges sensor networks, machine learning, and ethical computing to address challenges in wearable technology and medical informatics. Awarded an ORCID identifier (0000-0002-1418-8919), his contributions have been featured in IEEE Access, ACM IMWUT, and interdisciplinary design journals. Press coverage highlights innovations in privacy-preserving gesture systems and secure medical device communication. Current affiliations include Aalto's Department of Information and Communications Engineering and the Ambient Intelligence initiative, where he explores next-generation pervasive computing solutions.

• Scientific Computing
• Inverse Problems
• Numerical Analysis
• +4 more

Marta M. Betcke is a Professor of Scientific Computing at the Department of Computer Science, University College London (UCL). She is affiliated with the UCL Centre for Inverse Problems and the Centre for Medical Image Computing. Her research focuses on inverse problems, numerical analysis, scientific computing, and machine learning, with applications in tomographic image reconstruction, compressed sensing, and PDE-based forward problem solving. She holds an EPSRC Postdoctoral Research Fellowship (2010–2013) and has contributed to projects like the Rapiscan system recognized with the Engineer Technology & Innovation Defence & Security Award (2010). She supervises PhD students through the FAI and i4Health CDT programs and leads initiatives such as the EPSRC-funded Inverse Problems Network (2016–2017). Her work integrates numerical analysis with machine learning to address real-world challenges in imaging and data science. Her academic journey includes postdoctoral research at the University of Manchester (2009) on X-ray CT scanners for security screening and a PDRA role in Manchester’s School of Mathematics. She teaches courses like Numerical Optimization and co-founded the MSc Scientific Computing program at UCL. Her research spans interdisciplinary collaborations in inverse problems, medical imaging, and computational methods, with notable contributions to photoacoustic tomography, compressed sensing, and Bayesian uncertainty quantification. Key awards include the 2010 Defence & Security Award for her work on novel X-ray CT scanners. She organizes conferences such as the INI Rich and Nonlinear Inverse Problems workshop (2023) and has been a coordinator for multiple academic initiatives. Her lab focuses on advancing imaging technologies through mathematical rigor and computational innovation.

Dongyeon KimView profile

Researcher

• Augmented Reality (AR)/Virtual Reality (VR)
• Computational Optics
• 3D/4D Displays
• +3 more

Dongyeon Kim is a Researcher at the University of Cambridge's Department of Computer Science and Technology, collaborating with Prof. Rafal Mantiuk. She holds a Ph.D. in Electrical and Computer Engineering from Seoul National University (SNU), where she contributed to the Optical Engineering and Quantum Electronics Lab under Prof. Byoungho Lee. Her work focuses on bridging computational optics with visual perception, particularly in next-generation AR/VR displays, holographic systems, and 3D display technologies. Education: Ph.D., Electrical and Computer Engineering, Seoul National University (2023) Bachelor's Degree, Electrical and Computer Engineering, Seoul National University (20XX) Research Interests: Augmented/Virtual Reality (AR/VR) display systems Holographic display optimization and human perception modeling Computational optics for 3D/4D displays Visual perception evaluation and quality metrics Integration of machine learning in display technology Awards & Recognition: Sejong Science Fellowship Grant (Korean Government) Best Paper Honorable Mention at SIGGRAPH Asia 2024 Grants & Funding: Sejong Science Fellowship for postdoctoral research Lab & Team: Collaborates with Prof. Mantiuk's research group at the University of Cambridge, focusing on perceptual evaluation of AR displays and dataset development (e.g., AR-DAVID).

Samir LounisView profile

Professor

• Density Functional Theory
• Time-Dependent Density Functional Theory
• Many-Body Perturbation Theory
• +5 more

Samir Lounis is a Professor and Head of Funsilab at the Peter Grünberg Institute (PGI-1), Research Center Jülich GmbH. He also serves as a Visiting Scientist from Martin Luther University Halle-Wittenberg (MLU). His research focuses on advanced theoretical and computational methods in condensed matter physics, particularly in topological magnetism, superconductivity, and quantum materials. Key areas include density functional theory (DFT), time-dependent DFT, many-body perturbation theory, and the study of adatom qubits and topological qubits. His work addresses complex phenomena such as magnetodynamics, non-collinear spin textures, and nanoscale magnetic interactions. Dr. Lounis leads the Funsilab, which develops innovative methods to understand and engineer quantum materials. His research spans topics like magnetic skyrmions, topological insulators, and the interplay between superconductivity and magnetism. He is a pioneer in applying advanced sampling techniques like Kalman filters to neutron scattering experiments, enhancing material characterization precision. Key research trends in his articles include exploring novel magnetic phases (e.g., Altermagnets), manipulating spin textures via external stimuli, and advancing computational frameworks for quantum materials. His lab's interdisciplinary approach bridges theoretical physics with experimental techniques, driving advancements in spintronics and quantum technologies. Dr. Lounis collaborates internationally, contributing to the Helmholtz Association's research priorities in energy, information, and materials science. His work has implications for next-generation electronic devices, quantum computing, and sustainable energy technologies.

• Solid State Memory
• Ionics
• Non-Volatile Memories
• +3 more

Michael Kozicki is a Professor and Graduate Program Chair in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU), and a Senior Global Futures Scientist in the Julie Ann Wrigley Global Futures Laboratory. He joined ASU in 1985 and holds adjunct roles at the University of Edinburgh and Gwangju Institute of Science and Technology. His research focuses on novel materials and devices for memory technologies, supply chain security, and radiation-hardened systems. He has over 70 patents and founded multiple startups, translating lab innovations into commercial products. Notable awards include the 2015 National Academy of Inventors Fellowship and the 2019 Daniel Jankowski Legacy Award. He has led ASU's Center for Solid State Electronics Research and contributed to entrepreneurial programs. Education: Ph.D. and B.Sc. in Electronics and Electrical Engineering from the University of Edinburgh (1980, 1985). Research interests include solid-state memory, ionics, and programmable metallization cells (PMCs). His work bridges microelectronics with applications in cybersecurity and space technology. Recent projects involve dendritic identifiers for authentication, radiation-resistant memristors, and low-energy non-volatile memories. Publications span memristive systems, PUFs, and nano-identifiers, reflecting a trend toward secure, scalable electronics. His 15 most recent articles (2022–2025) emphasize nanostructuring, machine learning-driven authentication, and quantum conductance in devices. Scientific Awards: 2019 Daniel Jankowski Legacy Award, 2019–2020 Joseph C. Palais Scholar Award, Fellow of the National Academy of Inventors. Advising and grants include leadership in ASU's graduate programs and over 25 funded projects from NSF, NASA, DOD, and industry partners, totaling millions in research support. Notable grants focus on radiation effects in memristors and neuromorphic applications. Labs and collaborations involve the Center for Solid State Electronics Research (NanoFAB), interdisciplinary teams in optical biomolecular devices, and global partnerships in materials science.

Khaled SallamView profile

Associate Professor

• Fluid Dynamics
• Laser Diagnostics
• Holography
• +4 more

Khaled Sallam is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University (OSU), affiliated with the College of Engineering, Architecture and Technology (CEAT). He holds a Ph.D. in Aerospace Engineering from the University of Michigan (2002), an M.S.E. in Aerospace Engineering (2000), and earlier degrees from Cairo University in Mechanical Power Engineering. His research focuses on Fluid Dynamics and Thermal Sciences , with specialties in Laser Diagnostics , Holography , Atomization , and Microfluidics . Key projects include droplet-based systems, nanofiber generation via electrospinning, and bio-flow analysis. His lab houses advanced equipment like a subsonic wind tunnel, shock tube, and combustion test rigs for studying atomization and desalination. Dr. Sallam has received numerous awards, including the 2019 15 Years Tenure Award and multiple teaching recognitions such as the President’s Outstanding Teaching Award (2014). He advises students like Andrew Williamson, a finalist in the 2019 Collegiate Inventors Competition for their desalination unit design. Professional roles include Chair of the ASME Tulsa Section and Associate Fellow of AIAA. His recent publications span energy systems, jet breakup dynamics, and combustion diagnostics, reflecting interdisciplinary expertise in fluid mechanics and renewable energy.

Federico CapassoView profile

Professor

• Quantum Cascade Lasers
• Bandstructure Engineering
• Plasmonics
• +7 more

Federico Capasso is the Robert Wallace Professor of Applied Physics at Harvard University, where he has been a faculty member since 2003. He is renowned for inventing the quantum cascade laser at Bell Laboratories and pioneering bandstructure engineering in semiconductor devices. His research spans plasmonics, metasurfaces, nanophotonics, and Casimir forces , with applications in light sources, optical antennas, and MEMS technology. PhD in Physics, summa cum laude, University of Rome (1973) Leadership roles at Bell Labs: Head of multiple departments (1987–2000), Vice President (2000–2002) Research Interests: Quantum electronics, terahertz radiation generation, plasmonic interfaces, and flat optics. His group at Harvard demonstrated optical antennas, plasmonic collimators , and generalized laws of reflection/refraction via metasurfaces. Article Trends: Recent work focuses on metasurface optimization , integrated solitons , optical rotatum , and active mid-infrared ring resonators , reflecting advancements in flat optics and quantum electronics. Scientific Awards: 2016 Balzan Prize 2013 SPIE Gold Medal 2005 King Faisal Prize 2004 Edison Medal 1995–1998: National Academy memberships and fellowships Labs/Teams: Leads the Capasso Group at Harvard, which co-founded the startup Metalenz for metasurface commercialization.

• Architecture
• Design
• Building
• +5 more

Gwyllim Jahn is a Lecturer in Architectural Design at RMIT University, working within the School of Architecture, Urban Design (AUD). His academic position focuses on bridging traditional architectural practices with cutting-edge digital technologies, particularly in the realm of augmented and mixed reality applications for design and construction. Dr. Jahn's research spans multiple disciplines including Architecture, Design, Artificial Intelligence, and Human-Centered Computing. His work demonstrates a consistent focus on integrating digital technologies with physical construction processes. Key areas of investigation include: Augmented Reality applications for precision construction Mixed Reality interfaces for collaborative design and fabrication Digital fabrication techniques for timber and steel structures Holographic construction guidance systems AI-assisted design processes Analysis of his recent publications reveals a strong trajectory toward practical applications of mixed reality technologies in architectural construction. His 2022-2024 works demonstrate increasing sophistication in using AR for high-precision fabrication, with measurable accuracy improvements achieving tolerances as low as 0.97mm. The research shows a clear evolution from theoretical exploration to practical implementation with quantifiable results in construction efficiency and precision. Dr. Jahn has collaborated with numerous researchers including Newnham C, van den Berg N, and others, indicating an active research network. His work has been presented at prestigious conferences including CAADRIA and ACADIA, suggesting successful acquisition of research funding for projects focused on digital architectural technologies. His research appears to involve laboratory or workshop settings for testing digital fabrication techniques, with documented real-world applications such as using holographic construction methods with expert bricklayers who completed wall sections in a fraction of expected construction time while maintaining industry-standard tolerances.

• Laser Physics
• Ultrafast Lasers
• Quantum Optics
• +4 more

Prof. Milutin Kovacev is an Associate Professor at the Institute of Quantum Optics, Leibniz University Hannover, Germany. He holds roles in the Executive Board of the Institute and leads the Ultrafast Laser Laboratory. His research focuses on ultrafast laser physics, nonlinear optics, and X-ray science, with expertise in femtosecond laser filamentation, harmonic generation, and plasmonics. He is a member of the Deutsche Physikalische Gesellschaft (DPG) and the Optical Society (OPTICA), and serves as a reviewer for multiple foundations including DFG and CNRS. Education: PhD in Physics (2003, Université Paris XI, France); Diploma in Physics (1999, Technical University of Hannover). Past positions include Junior Professor (2006–2014) and visiting scientist roles at LOA (France) and Lund High Power Laser Facility (Sweden). Research Interests: Laser filamentation, attosecond physics, X-ray imaging, plasmonic nanostructures, and optical radiometry. His work emphasizes applications in nanophotonics, laser safety, and advanced spectroscopic techniques like conversion electron Mössbauer spectroscopy. Awards/Positions: Feodor Lynen Research Fellowship (2004–2005) Research Group Leader in DFG Clusters: PhoenixD, Quantum Frontiers, and QUEST Laser Safety Officer at Institute of Quantum Optics Labs/Teams: Leads the Ultrafast Laser Laboratory and collaborates on projects like the synchronized VUV beamline at FLASH2. His group explores plasmonic nanoantennas and strong-field interactions.

Vasiliki StergiopoulouView profile

Researcher

• Medical Imaging
• Signal Processing
• Audiovisual Communications
• +3 more

Vasiliki Stergiopoulou is a Researcher at EPFL, holding roles in multiple laboratories: Postdoctoral Researcher at the Galatea Laboratory (School of Engineering, IEM), Scientist at the Audiovisual Communications Laboratory (LCAV, School of Computer and Communication Sciences), and Guest at the IMAGING-GE group. Her work focuses on computational imaging, microscopy techniques, and signal processing, with contributions to third-harmonic generation imaging, fluorescence microscopy optimization, and holographic illumination methods. She has published extensively on topics like super-resolution microscopy and denoising algorithms. Vasiliki collaborates across interdisciplinary teams at EPFL, contributing to advancements in biomedical imaging and optical technologies.

• Quantitative Phase Microscopy
• Acoustic Microscopy
• Optical Imaging
• +5 more

Azeem Ahmad is a Researcher at the Department of Physics and Technology , UiT The Arctic University of Norway. His work focuses on advanced imaging techniques in ultrasound, microwaves, and optics , particularly in the areas of quantitative phase microscopy , acoustic microscopy , and photonic chip engineering . Key research areas: Quantitative phase imaging, acoustic wave modeling, biomedical diagnostics, interferometry, machine learning integration, and photonic device optimization Collaborative projects: Developments in label-free histology, super-resolution microscopy, and noise reduction algorithms Recent publications: 2025 studies on subsurface damage detection in ceramics and acoustic transducer modeling His work bridges optical engineering , biomedical applications , and computational imaging , with affiliations to the Ultrasound, Microwaves and Optics and Optical Nanoscopy research groups.