Find Academic Supervisors

Christopher MetzlerView profile

Assistant Professor

• Computer Vision and Machine Perception
• AI and Robotics
• Machine Learning and Data Science
• +2 more

Christopher Metzler is an Assistant Professor in the Department of Computer Science at the University of Maryland (UMD), with appointments in the University of Maryland Institute for Advanced Computer Studies (UMIACS) and a courtesy appointment in the Electrical and Computer Engineering Department. He leads the UMD Intelligent Sensing Laboratory, focusing on computational imaging, machine learning, and wireless communications. His research develops novel systems and algorithms for imaging through scattering media, multimodal sensor fusion, and self-supervised AI techniques. Education: PhD in Electrical and Computer Engineering (Rice University, 2019), MSEE (2014), BSEE (2013). Postdoctoral Fellowship: Stanford Computational Imaging Lab (2020). Awards: AFOSR Young Investigator Program (2022), NSF CAREER (2023), ARO Early Career Award (2024), and multiple fellowships (NSF GRFP, NDSEG). Research interests include computational imaging, machine learning, statistical signal processing, and AI-driven sensor fusion. His work addresses challenges in non-line-of-sight imaging, turbulence mitigation, and hardware-aware algorithms. He advises 10 PhD students and collaborates on projects funded by the Air Force, NSF, and other agencies. Key contributions include neural wavefront shaping, adversarial sensing frameworks, and high-resolution non-line-of-sight imaging. His lab develops open-source software and datasets, such as the Transmission Matrix Dataset and learned compressive sensing tools.

Martin MöddelView profile

Researcher

• Magnetic Particle Imaging
• Medical Imaging
• Image Reconstruction
• +3 more

Dr. Martin Möddel is a postdoctoral researcher affiliated with both the University Medical Center Hamburg-Eppendorf (UKE) and Hamburg University of Technology (TUHH), working in the experimental Biomedical Imaging group led by Tobias Knopp. His primary research focuses on advancing magnetic particle imaging (MPI) through innovations in image reconstruction, multi-contrast imaging, and artifact reduction. Additionally, he investigates magnetic field generation and characterization, as well as receive path calibration techniques. Education: PhD in Physics (2014) from Universität Siegen (thesis: Characterizing quantum correlations via genuine multiparticle negativity) Diplom in Physics (2011) from Universität Leipzig (thesis: Coadapted Hilbert space structure in lattice gauge models) Research Interests: His work addresses challenges in tomographic imaging, particularly in optimizing MPI for clinical applications. Key areas include developing robust reconstruction algorithms, improving magnetic field measurement techniques, and enhancing MPI’s utility for multi-contrast and real-time imaging. Articles & Trends: Recent publications emphasize novel approaches to MPI system calibration, magnetic field representation using ellipsoidal harmonics, and artifact mitigation in multi-contrast scenarios. His work demonstrates a focus on bridging computational methods with hardware optimization for improved imaging outcomes. Grants & Awards: No specific awards or grants are listed in the provided materials. Labs & Teams: He contributes to the Institute for Biomedical Imaging at TUHH, collaborating on projects involving MPI scanner development, magnetic nanoparticle dynamics, and interdisciplinary imaging solutions.

• Quantum Information Science
• Quantum Gravity
• Cosmology
• +4 more

Aidan Chatwin-Davies is an Assistant Professor in the Department of Physics at the University of Rhode Island (URI). His research focuses on the intersection of quantum information science and quantum gravity, particularly addressing problems like the black hole information paradox, quantum error correction, and cosmological implications of quantum gravity. He holds a Ph.D. in Physics from the California Institute of Technology (2018) under Prof. Sean Carroll, and M.Math and B.Math degrees in Applied Mathematics from the University of Waterloo, advised by Prof. Achim Kempf. Before URI, he served as a Staff Scientist at the Okinawa Institute of Science and Technology (2023–2024), a Postdoctoral Fellow at the University of British Columbia (2021–2023), and at KU Leuven (2018–2021). His work explores foundational questions in quantum gravity, cosmology, and holography, often leveraging tools from quantum information theory. Research interests include early/late universe cosmology, AdS/CFT correspondence, quantum error correction codes, and quantum Shannon theory. He has contributed to topics like entanglement wedge geometry, holographic screen sequestration, and quantum gravitational signatures in primordial spectra. Teaching experience includes advanced quantum mechanics at KU Leuven and lectures on quantum information at Vrije Universiteit Brussel. No specific scientific awards are listed, but his extensive publication record reflects active contributions to high-energy theory. He plans to advise graduate students starting Fall 2025 through URI’s program.

Brian SwingleView profile

Associate Professor

• Quantum Information
• Quantum Many-Body Systems
• Quantum Gravity
• +3 more

Brian Swingle is an Associate Professor of Physics at the Martin A. Fisher School of Physics, Brandeis University. He holds a PhD from MIT (2011) and specializes in quantum information theory, quantum many-body systems, and quantum gravity. His research explores the interplay between entanglement and spacetime geometry, including the emergence of gravity from quantum systems and efficient quantum simulation techniques. Swingle's work spans theoretical physics with a focus on holography, operator growth in chaotic systems, and measurement-induced phase transitions. He contributes to advancing tensor network methods and quantum error correction codes. His affiliations include the Brandeis physics department and collaborations in quantum gravity research. Recent projects address energy transport in quantum systems, complexity measures in holography, and applications of reinforcement learning to quantum code discovery. Though no specific prizes are listed, his contributions to quantum information and gravity are widely recognized in academic circles.

Anatoly DymarskyView profile

Associate Professor

• Quantum Chaos
• Conformal Field Theory
• Holographic Duality
• +2 more

Anatoly Dymarsky is an Associate Professor in Physics & Astronomy at the University of Kentucky's College of Arts and Sciences. His research explores high-energy physics, quantum chaos, and holographic duality. His theoretical work bridges quantum information, gravity, and statistical mechanics. Key themes include eigenstate thermalization, Krylov complexity in quantum systems, and code-based models of holography. Recent publications demonstrate consistent focus on entanglement dynamics and quantum gravity formalisms. Notable research streams include: quantum thermalization in chaotic systems; holographic descriptions of conformal field theories; and applications of quantum information concepts to gravitational physics.

Raymond A. ShawView profile

Professor

• Atmospheric Physics
• Cloud Physics
• Nucleation
• +2 more

Raymond A. Shaw is University Professor and Associate Chair in the Department of Physics at Michigan Technological University. He holds a joint appointment in Mechanical and Aerospace Engineering and leads the Cloud Physics Laboratory. Dr. Shaw's research focuses on atmospheric physics, particularly cloud microphysical processes, turbulence impacts on droplet growth, and ice nucleation mechanisms. His experimental work utilizes digital holography for particle tracking in laboratory clouds and field measurements. Recent investigations examine haze-cloud interactions, entrainment-mixing processes, and aerosol effects on cloud formation. Professor Shaw develops advanced instrumentation including the Pi Cloud Chamber for controlled atmospheric simulations. His recent publications demonstrate innovations in convection-cloud chamber methodologies, large-eddy simulations with bin microphysics, and field campaigns like ESCAPE. Research consistently addresses fundamental processes governing cloud droplet size distributions and growth transitions. Dr. Shaw supervises graduate students in atmospheric sciences and contributes to the development of novel measurement techniques. He earned his Ph.D. in Physics from Pennsylvania State University.

• Diffractive Optical Elements
• Photonics
• Optical Telecommunications
• +3 more

Kevin Heggarty is Professor at IMT Atlantique's Optics Department, specializing in diffractive micro-optical systems. His research encompasses DOE design/fabrication for photonics, telecommunications, and information processing applications. Education includes: B.A. Natural Sciences (University of Cambridge, 1987) M.Sc. Telecommunications (University of Essex, 1988) Ph.D. (Ecole Nationale Supérieure des Télécommunications, 1991) Habilitation (2010) Research develops novel DOE fabrication techniques using massively parallel photoplotters, with applications spanning security holograms, laser beam shaping, 3D facial recognition, and augmented reality. Current projects focus on nanoscale 3D printing and real-time holographic displays. Supervised 20+ PhD students in optics and nanofabrication. Teaches electromagnetism and photonics across undergraduate/postgraduate levels, with international lectureships in France, Spain, Germany and Belgium.

Tasolamprou AnnaView profile

Professor

• Metamaterials
• Photonics
• Nanotechnology
• +3 more

Prof. Tasolamprou Anna is a Professor at the Institute of Electronic Structure and Nanotechnology (IESL) within the Foundation for Research and Technology – Hellas (FORTH). Her research focuses on metamaterials, photonics, nanotechnology, and optoelectronics, with a strong emphasis on advanced applications like THz technology, solar energy systems, and reconfigurable metasurfaces. She leads the Photonic-, Phononic- and Meta-materials (PPM) Group, pioneering work in chiral metasurfaces, graphene-based optoelectronics, and energy-efficient photovoltaic solutions. Her academic journey includes significant contributions to the design and characterization of dielectric metasurfaces, photonic crystals, and smart materials for wireless communication and energy harvesting. Prof. Anna’s work bridges theoretical modeling with experimental validation, addressing challenges in beam steering, wavefront manipulation, and ultrafast modulation in THz regimes. She has also explored passive radiative cooling techniques to enhance solar cell efficiency under varying environmental conditions. Key innovations include tunable microwave antennas, ultra-thin transparent electrodes, and software-defined metasurfaces for 6G communications. Her research often integrates nanofabrication techniques like laser-induced periodic surface structures and 3D printing to achieve high-performance optical components. These advancements have implications for next-generation optoelectronics, renewable energy systems, and intelligent communication infrastructure.

Rafal MantiukView profile

Professor

• Computer Graphics
• Imaging Science
• Human Vision Perception
• +6 more

Rafal Mantiuk is a Professor of Graphics and Displays at the Department of Computer Science and Technology, University of Cambridge. He is affiliated with the William Gates Building on JJ Thomson Avenue. His research interests span Graphics, Vision and Imaging Science, and Human-Centred Computing. He leads a research group focused on perceptual modeling for display technologies, HDR content optimization, and neural network applications in graphics. His academic career includes contributions to computational 3D displays, contrast sensitivity functions (e.g., stelaCSF, castleCSF), and novel datasets like HDR4CV and UPIQ. Notable work involves developing perceptually guided metrics for image/video quality assessment, enhancing holographic and near-eye display technologies, and exploring neural rendering techniques for realistic 3D avatars (e.g., FaceCraft4D). Rafal's research emphasizes bridging the gap between human visual perception and computational graphics, with a focus on optimizing display systems for naturalistic visual experiences. His recent efforts address challenges in augmented reality, stereoscopic depth perception, and adaptive rendering strategies informed by spatiotemporal vision limitations. He has also contributed to benchmarking frameworks for evaluating light field interpolation and neural view synthesis methods. Scientific Contributions: Over 30 publications since 2021, including foundational work on contrast sensitivity models and HDR display calibration. Labs/Teams: Leads the Graphics and Vision research group at the University of Cambridge, collaborating on projects like the FovDots dataset and glare reduction techniques in images.

Stephan RauschenbachView profile

Associate Professor

• Molecular Imaging
• Mass Spectrometry
• Surface Science
• +5 more

Stephan Rauschenbach serves as Associate Professor of Physical Chemistry at the University of Oxford, where he holds a tutorial fellowship at Wadham College and directs the Ion Beam Deposition Laboratory. His research bridges surface science, mass spectrometry, and high-resolution microscopy to enable atomic-level analysis of complex biomolecules. Rauschenbach's educational trajectory includes a Dr.sc. in Physics from École Polytechnique Fédérale de Lausanne, with prior affiliations at TU Munich, University of Augsburg, Siemens AG/Infineon, and Sony Fusion Domain Lab in Tokyo. His doctoral work was supported by the Hans-L.-Merkle foundation for Excellence in Science fellowship. His research pioneers Electrospray Ion Beam Deposition (ES-IBD) for molecular imaging, focusing on three core domains: biomolecular structure (peptides/glycans via SPM/STM), functional coatings (solar sensitizers/molecular magnets), and hyperthermal surface collisions for non-equilibrium chemistry. He develops specialized instrumentation including cryo-EM integration systems and low-energy electron holography tools, with recent work emphasizing graphene substrates and native conformation preservation. Analysis of his 2022-2025 publications reveals a decisive shift toward cryo-EM and electron holography applications, where ES-IBD enables ice-free sample preparation and direct comparison of gas-phase versus native protein structures. This work establishes new paradigms for studying large biomolecular complexes while maintaining structural integrity. Key recognitions include: Mattauch-Herzog Award from the German Society of Mass Spectrometry (2017) Hans-L.-Merkle foundation for Excellence in Science fellowship Rauschenbach leads an interdisciplinary team developing proprietary instrumentation through industry partnerships. His grants focus on advancing ES-IBD for single-molecule imaging and quantum nanoscience applications, with significant funding directed toward cryo-EM integration and holography reconstruction algorithms. He actively mentors graduate students in physical chemistry methodology development. The Ion Beam Deposition Laboratory operates as a hub for cutting-edge instrumentation development, with current projects including graphene-based substrate engineering, laser flash melting techniques for sample preparation, and computational tools for electron hologram reconstruction. The lab maintains close collaborations with commercial partners to translate fundamental research into practical imaging solutions for structural biology.

Ahmed DorrahView profile

Assistant Professor

• Light-Matter Interaction
• Structured Light
• Flat Optics
• +7 more

Dr. Ahmed Dorrah is an Assistant Professor in the Department of Applied Physics and Science Education at Eindhoven University of Technology (Netherlands). He leads research in light-matter interaction, structured light, and flat optics, focusing on meta-optics for applications in remote sensing, micromanipulation, and optical communications. Previously, he was a Postdoctoral Researcher at Harvard University (2019–2024) and earned his PhD (2019) and MASc (2015) from the University of Toronto. His work integrates nanophotonics with quantum materials and advanced imaging techniques. Research Interests: His studies span the design of next-generation metasurfaces, 3D holography using curved light sheets, and high-efficiency structured light generation. Recent publications (2023–2025) highlight breakthroughs in bilayer metasurface fabrication, Mueller matrix imaging, and AI-driven holography techniques. His work is driven by creating compact, scalable optical systems with applications in wearable tech, satellite communications, and biological microscopy. Education & Career: Dorrah holds a BASc from Cairo University (2011). He has held visiting scholar roles at Lawrence Berkeley National Lab (USA) and the University of the Witwatersrand (South Africa). He currently oversees the Photonics and Semiconductor Nanophysics group and contributes to the Eindhoven Hendrik Casimir Institute. Funded PhD positions are available through TU/e's vacancies portal. Awards: No specific awards listed, but his research has been published in top-tier journals like Science Advances , Nature Communications , and Light: Science and Applications . He mentors students in photonics, nanophysics, and applied optics, emphasizing interdisciplinary collaboration with engineering and AI groups. Labs & Teams: Active in the Photonics and Semiconductor Nanophysics (PSN) group, his lab develops metasurface-based tools for optical manipulation and imaging. Collaborations include TU/e's Eindhoven Artificial Intelligence Institute (EAISI) and international partners in quantum materials research.

Vijay BalasubramanianView profile

Professor

• High Energy Physics
• Biophysics
• Neuroscience
• +3 more

Vijay Balasubramanian is the Cathy and Marc Lasry Professor of Physics at the University of Pennsylvania’s Department of Physics and Astronomy, within the College of Arts & Sciences. His research spans High Energy Physics, Biophysics, Neuroscience, and statistical inference, focusing on information processing in natural and artificial systems. He holds a PhD in Theoretical Physics from Princeton and dual BS/MS degrees in Physics/Computer Science from MIT. He has held visiting roles at École Normale Supérieure (Paris) and Vrije Universiteit Brussel, and is affiliated with the Aspen Center for Physics and ICTP (Trieste). Research interests include spacetime emergence in quantum gravity, neural circuit organization (vision, olfaction, spatial cognition), and the interplay between complexity and generalization in models. Awards include the Ira H. Abrams Teaching Award and Penn Fellow (2012). His lab investigates computational principles in biology, from immune systems to neural networks, and their parallels with machine learning. Education: PhD (Princeton), MS/BS (MIT) Key roles: Harvard Society of Fellows Junior Fellow, Santa Fe Institute Fellow Visiting appointments: ENS Paris, VUB Brussels Publications bridge theoretical physics and biology, with recent work on quantum gravity microstates, neural coding efficiency, and immune system adaptation. His work on Occam’s Razor quantifies trade-offs between model simplicity and predictive power across disciplines.

Elena AchimovaView profile

Associate Professor

• Photovoltaics
• Optoelectronics
• Materials Science
• +3 more

Elena Achimova is an Associate Professor and Principal Scientific Researcher at the Laboratory of Materials for Photovoltaics and Photonics, Institute of Applied Physics, University of Moldova. Her research focuses on advanced materials for photovoltaics, optoelectronics, and holographic systems. She specializes in azopolymers, chalcogenide glasses, and nanocomposite materials, with a particular interest in their optical properties and applications in diffractive optics. Her work includes designing and characterizing functional materials for holographic recording, surface relief gratings, and digital holographic microscopy. She has contributed to projects involving nanomultilayer structures, E-beam lithography, and material synthesis. Her research intersects materials science, optical engineering, and nanotechnology, emphasizing practical applications in photonics and energy systems. Elena leads or participates in numerous national and international research programs, including ANCD and FP7 projects. Her lab develops novel materials for photovoltaic devices and optical elements, aiming to improve efficiency and functionality. She collaborates with institutions globally on topics like nanocomposite fabrication and optical data storage. Key achievements include pioneering studies on photoinduced anisotropy in azopolymers, optimizing diffraction efficiency in nanomaterials, and advancing lensless imaging techniques. Her research bridges fundamental material science with applied photonics, addressing challenges in next-generation optical systems and renewable energy technologies.

• Condensed Matter Physics
• Magnetism
• Spintronics
• +5 more

Nikolai Kiselev is a researcher at the Peter Grünberg Institute (PGI-1) at Forschungszentrum Jülich, specializing in quantum theory of materials with a focus on magnetic phenomena. His work bridges condensed matter physics and applied research in spintronics, topological materials, and nanomagnetism. He collaborates closely with experimental groups and leverages high-performance computing resources at Jülich Supercomputing Centre. Research interests include magnetic skyrmions, chiral bobbers, hopfions, and other topological spin textures. He explores their stability, dynamics, and potential applications in next-generation memory technologies. Recent work investigates magnetic domain wall control in multilayers and skyrmion lattice behavior under external fields. Notably intersects physics with interdisciplinary studies: Kiselev co-authored studies on physical activity programs for individuals with mental health disorders and intellectual disabilities. His work addresses accessibility barriers in sports for marginalized groups in Switzerland and evaluates public health guidelines for inclusive participation. He also examines mental health challenges among refugees and elite para-athletes. Publications span theoretical physics journals (Physical Review Letters, Nature Materials) and health science venues (Journal of Public Health, Disability and Health Journal). Leads the Topological Nanoelectronics Group and collaborates with industry on friction and material design for practical applications. Advances in magnetic materials research include discovering novel topological states like skyrmion bundles and tailing skyrmions. His simulation framework 'spirit' is widely used for atomistic spin dynamics modeling. Current projects explore 3D mapping of skyrmion textures and thermal generation of droplet solitons.

Xiao ZhangView profile

Assistant Professor

• Mobile Computing
• AIoT
• Cyber Physical Systems
• +9 more

Dr. Xiao Zhang is an Assistant Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn's College of Engineering and Computer Science. He leads the Trustworthy AIoT Lab (TAI Lab) and advises the Immersive Computing Club. Previously, he was a Postdoctoral Associate at Duke University and holds a Ph.D. from Michigan State University, M.S. from Northwestern Polytechnical University, and B.E. from Taiyuan University of Technology. Education: Ph.D. in Computer Science and Engineering - Michigan State University M.S. - Northwestern Polytechnical University B.E. with Honors - Taiyuan University of Technology Dr. Zhang's research focuses on next-generation wireless systems with emphasis on mobile computing, AIoT, cyber-physical systems, and AI-assisted sensing/localization. His work explores spatial-temporal diversities in Optical Wireless Communication (OWC) to enable secure, location-aware communication for IoT and human-centered computing. Applications include LiFi, V2X networks, underwater navigation, digital health, smart cities, HCI, and AR/VR. Recent publications demonstrate a strong focus on optical communication systems (OWC, LiFi), drone technology, IoT security, and AI-assisted sensing. Trends include innovations in 3D optical connections, adversarial defense for audio systems, radar-based point cloud generation, and federated learning solutions for heterogeneous IoT environments. Awards & Grants: 2025: IHP Research Engagement, OE Review/Creation Grants, Creative Teaching Fund 2024: NSF I-Corps, RAG Grant 2023: Dissertation Fellowship (MSU) 2022: Travel Fellowship (MSU) 2019-2023: Multiple Graduate Fellowships 2016-2018: Postgraduate Scholarships 2013-2015: National/University Scholarships Dr. Zhang advises 10+ students across multiple levels including PhD candidate Deniz Acikbas, MS students Ashwin Sarvadey, Jaskirat Sudan, Rohit Raval, and Nishaant Madhankumar, and undergraduate researchers including NSF STEM Scholars Christian Nwobu, Fatima Qasem, and Fatima Mohammed. His TAI Lab focuses on trustworthy AI-driven IoT systems.