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Ethan N. EpperlyView profile

Research Fellow

• Randomized algorithms
• Quantum algorithms
• Scientific computing
• +3 more

Ethan N. Epperly is a Miller Research Fellow in the Department of Mathematics at the University of California, Berkeley, where he conducts cutting-edge research in applied mathematics with a focus on computational techniques for large-scale problems. Dr. Epperly received his PhD in Applied and Computational Mathematics from Caltech, where his research was supported by a Department of Energy Computational Science Graduate Fellowship. His educational background established a strong foundation in both theoretical and applied mathematics. His primary research interests include randomized and quantum algorithms, scientific computing, and large-scale machine learning. Dr. Epperly specializes in designing computational techniques for solving large-scale problems in machine learning, quantum information, and scientific computing, with particular expertise in kernel matrix approximation, low-rank approximation, and numerical linear algebra problems. His work bridges theoretical analysis with practical computational efficiency. Epperly's recent publications demonstrate a strong focus on developing efficient randomized algorithms for matrix computations. His research shows how randomized approaches can achieve accuracy and stability comparable to classical methods while offering significant computational advantages, particularly in settings where computational resources are limited. His work on Krylov subspace methods, Cholesky decomposition variants, and trace estimation has advanced the field of numerical linear algebra. Hertz foundation fellowship finalist Thomas A. Tisch Prize for Graduate Teaching in CMS W. P. Carey & Co. Prize in Applied Mathematics SIAM Student Paper Prize Department of Energy Computational Science Graduate Fellowship As a Miller Research Fellow, Dr. Epperly collaborates with leading researchers including Joel A. Tropp, Robert J. Webber, and Yifan Chen. His work has significant implications for machine learning applications requiring efficient handling of large-scale matrix computations, with potential applications across scientific computing and quantum information processing.

Mehmetcan AkbulutView profile

Research Professor

• Photonics
• Directed Energy
• Remote Sensing
• +12 more

Mehmetcan Akbulut is an Associate Research Professor at the Wyant College of Optical Sciences , The University of Arizona. His office is located in GCRB 447. Research Focus: Photonics subsystems and systems development with applications in Directed Energy, Remote Sensing, Quantum Optical Networks, Optical Computing, Ultrafast & RF Photonics, and Biophotonics. Key Research Areas: High-energy fiber lasers, coherent beam combining, LIDAR systems, quantum communications, optical computing architectures, and photonic biosensors. Recent publications highlight advancements in injection-locked fiber lasers, SBS suppression techniques, optical Ising machines, and frequency comb applications. His work intersects academic and applied research through collaborations like the Center for Quantum Networks and CIAN projects. The Photonics & Systems Laboratory explores technologies for Directed Energy, wind shear sensing, distributed fiber sensing, and AI-driven biomedical imaging systems.

Leon BalentsView profile

Professor

• Quantum Physics of Materials
• Condensed Matter Theory
• Magnetism
• +6 more

Leon Balents is a Professor at the Kavli Institute for Theoretical Physics (KITP) and holds the Yzurdiaga Chair of Theoretical Physics at the University of California Santa Barbara (UCSB). He is a leading theoretical physicist in quantum materials, with affiliations including co-director of the CIFAR Quantum Materials program, a Fellow of the American Physical Society, a member of the American Academy of Arts and Sciences, and the National Academy of Sciences. His work bridges theory and experiment in condensed matter physics, focusing on systems like quantum spin chains, twisted bilayer graphene, and magnetic 2D materials. Bachelor’s in Physics and Mathematics, MIT PhD in Physics, Harvard University (1994) Dr. Balents is renowned for pioneering the theory of Coulomb interactions in quantum wires, discovering 3D topological insulators, and establishing Weyl semimetals. His research spans quantum spin liquids, topological spintronics, Van der Waals materials, and non-equilibrium probes of quantum systems. He collaborates extensively with experimentalists at UCSB, including Stephen Wilson, Susanne Stemmer, and Andrea Young, and leads efforts in the UCSB Quantum Foundry and the Simons Collaboration on Ultra-Quantum Matter. Scientific Awards and Honors : Fellow, American Physical Society Member, American Academy of Arts and Sciences Member, National Academy of Sciences Co-Director, CIFAR Quantum Materials Program Students and Collaborators : Kasra Hejazi, Chunxiao Liu, Mitchell Bordelon, and postdocs like Wenjie Ji and Jong Yeon Lee contribute to his group’s work. He teaches graduate-level condensed matter physics and leads virtual workshops on quantum materials. His GitHub projects, including a covidSB repository , reflect his interdisciplinary interests beyond physics.

• Quantum Computing
• Artificial Intelligence
• Neuromorphic Computing
• +5 more

Professor Frank Zhigang Wang is a faculty member at the School of Computing , University of Kent. His research focuses on Quantum Computing , Neuromorphic Computing , and Cloud Computing , with significant contributions to Memristor Technology and Green Computing . He has secured £5 million in research grants from EC/UK/industries and chaired/co-chaired over 10 international conferences, including IEEE and ACM events in Manchester, Delhi, Beijing, and Shanghai. Key research areas: Quantum Computing, Artificial Intelligence, Neuromorphic Systems, Cloud Security. Professional roles: Fellow of the British Computer Society, former IEEE Region 8 Area 2 Coordinator. His work explores Landauer Bound optimization in quantum systems, Spin-Encoded Quantum Computers , and Topological Electronics . Recent publications address post-quantum cryptography and memristor-based neuromorphic architectures . He has supervised 15 PhD students (14 completed) and 7 research fellows. Awards include Best Teacher Award nominations (2016, 2022) and ACM/IEEE Super Computing Challenge Finalist (2007).

Sandu PopescuView profile

Professor

• Quantum Physics
• Quantum Information
• Quantum Entanglement
• +5 more

Professor Sandu Popescu is a leading theoretical physicist at the School of Physics, University of Bristol. His work spans foundational quantum mechanics, quantum information theory, and thermodynamics, with pioneering contributions to entanglement, non-locality, and the interpretation of quantum phenomena. He is affiliated with the Bristol Quantum Information Institute and collaborates extensively with experimentalists, notably co-designing the first quantum teleportation experiment. His research explores paradoxes in quantum theory to deepen understanding. Key areas include quantum nonlocality, pre- and post-selected states, entangled-photon spectroscopy, and thermodynamic foundations. He has also patented practical quantum technologies. Recent publications focus on conservation laws, quantum Cheshire cats, non-signaling theories, and thermodynamics of quantum systems. Articles from 2025-2018 highlight interdisciplinary trends bridging physics, information theory, and quantum foundations. Scientific Awards: Adams Prize (2001) Clifford Paterson Prize Lecture (2004) Cozzarelli Prize (2016) Popescu engages in media outreach, discussing topics like quantum Cheshire cats and multiverse theory. He actively contributes to theoretical advancements while maintaining experimental collaborations.

• String Theory
• Supersymmetric Field Theory
• Particle Physics
• +4 more

Professor Robert G. Leigh holds a position in the Department of Physics at the University of Illinois at Urbana-Champaign, where he has been a faculty member since 1996. His research spans theoretical high energy physics, quantum gravity, and quantum information science, with significant contributions to string theory and its applications. Leigh received his bachelor's degree in theoretical physics from the University of Guelph in 1986 and completed his Ph.D. in theoretical particle physics at the University of Texas at Austin in 1991. Following postdoctoral appointments at the Institute for Particle Physics at the University of California, Santa Cruz and at Rutgers University, he joined the University of Illinois faculty. Professor Leigh's work lies at the heart of current efforts to build a fundamental theory of matter, including quantum gravity effects. His research primarily focuses on using gauge/gravity dualities (or holography) to study the physics of strongly coupled gauge theories and the strong coupling dynamics in condensed matter systems. His most notable contributions include the discovery of D-branes and orientifolds in string theory, the first example of superstring duality, and the derivation of the Dirac-Born-Infeld action describing the dynamics of D-branes. D-branes correspond to non-perturbative states unique to string theory and are analogous to magnetic monopoles in field theory. The study of D-branes is fundamental to modern string theory and its applications to particle physics, mathematics and condensed matter physics. His most recent publications demonstrate a continued focus on quantum entanglement, Chern-Simons theory, and the intersection of quantum information with gravitational physics. His work shows an evolution from fundamental string theory discoveries toward applications in condensed matter physics and quantum information through holographic methods. Fellow, American Physical Society (2007) Arnold O. Beckman Award, UIUC (December 2004) Outstanding Junior Investigator, DOE (1997-2000) Professor Leigh has taught advanced courses including Quantum Mechanics I & II, General Field Theory, Advanced Field Theory, and specialized topics in AdS/QFT Correspondence. His research program has been supported by various grants from the Department of Energy and other funding agencies. He has mentored numerous graduate students and postdoctoral researchers, contributing significantly to the next generation of theoretical physicists. His work continues to bridge multiple areas of theoretical physics, connecting string theory with quantum information science, condensed matter physics, and gravitational physics through the powerful framework of holography and gauge/gravity dualities.

Smitha VishveshwaraView profile

Professor

• Quantum Condensed Matter Theory
• Strongly Correlated Systems
• Low-Dimensional Physics
• +8 more

Smitha Vishveshwara is a Professor in the Department of Physics at the University of Illinois at Urbana-Champaign. She holds affiliations with the university’s Materials Research Laboratory and Beckman Institute. Her interdisciplinary work bridges quantum condensed matter theory, biophysics, and artistic expression. PhD in Theoretical Physics (University of California, Santa Barbara, 2002) Postdoctoral Researcher (2002–2005) in the Department of Physics at UIUC Her research focuses on quantum systems, including: Strongly correlated systems in low dimensions (Luttinger liquids, induced superconductivity in nanotubes) Topological order and Majorana fermions in superconductors Quench dynamics in spin chains and optical lattices Microgravity Bose-Einstein condensates and quantum bubbles Biophysics applications (protein networks via percolation theory) Gravitational parallels in quantum Hall systems Recent publications reveal trends in quantum Hall interferometry, Majorana detection schemes, and microgravity condensate dynamics. Awards include the NSF CAREER Award, Simons Fellowship, and APS Fellowship. She teaches courses like “Where the Arts Meets Physics” and has co-created art-science projects such as Quantum Voyages and Quantum Rhapsodies .

Andrew KwongView profile

Assistant Professor

• Computer Security
• Applied Cryptography
• Side-Channel Attacks
• +4 more

Andrew Kwong is an Assistant Professor at the University of North Carolina at Chapel Hill in the Department of Computer Science. His research focuses on computer security and applied cryptography, particularly side-channel attacks and defenses, including Rowhammer, Spectre, and cache timing vulnerabilities. He teaches courses such as Hardware Security and Side-Channels and Research Topics in Computer Security , covering topics like transient execution attacks, speculative probing, and cryptographic implementation flaws. Department of Computer Science, UNC Chapel Hill Assistant Professor Teaching COMP 790-184 (Hardware Security) and COMP 790-185 (Computer Security Research) His research involves cutting-edge work on hardware vulnerabilities, including Rowhammer-based key recovery in post-quantum cryptography, cache eviction side-channels, and speculative execution attacks. His publications appear at top venues like IEEE S&P, CCS, and USENIX Security. He received a Best Paper Award Honorable Mention at CCS 2022 for his work on FrodoKEM exploitation. Key trends in his publications include leveraging hardware flaws for data leakage, cryptographic protocol breakdowns, and combining transient execution with memory corruption attacks. His work has implications for hardware design security and cryptographic implementation practices. Best Paper Award Honorable Mention, CCS 2022 Contact: andrew@cs.unc.edu

• Theoretical Particle Physics
• Nuclear Physics
• Cosmic Ray Physics
• +7 more

Masatoshi Takano is a Professor at the Faculty of Science and Engineering, Waseda University, specializing in theoretical studies of nuclear physics, particle physics, and astrophysics. His work focuses on nuclear equations of state (EOS) for neutron stars and core-collapse supernovae, incorporating realistic nuclear forces like the Argonne v18 and Urbana IX potentials. He has developed variational methods with explicit energy functionals to model hyperonic nuclear matter, spin-orbit forces, and finite-temperature effects. Education : PhD in Science, Waseda University Professional Memberships : American Physical Society, Japan Physical Society Research spans neutron star structure, supernova simulations, and nuclear matter phase transitions. His recent presentations address neutrino emission rates, braking radiation in nuclear matter, and cluster variational methods. Key collaborations include H. Togashi, K. Nakazato, and K. Sumiyoshi. Scientific contributions involve refining variational energy expressions for asymmetric nuclear matter, incorporating three-body forces, and studying pion condensation effects on neutron star cooling. He has applied his EOS models to multidimensional supernova simulations and cosmic ray detector design.

• Superconducting Logic
• Bio-based Architectures
• Novel Computing Mediums
• +6 more

Dr. Jennifer Volk is an Assistant Professor at the College of Engineering, University of Wisconsin-Madison, specializing in Electrical & Computer Engineering. Her research focuses on leveraging novel technologies like superconductor electronics and photonics to create efficient systems for datacenters, neuromorphic computing, quantum computing, and space/sensing applications. She employs a holistic approach spanning circuit design, materials science, and computer microarchitecture. PhD (2024), University of California, Santa Barbara BS (2016), University of California, Santa Cruz Her research interests include superconducting logic , bio-based architectures , and novel computing mediums , emphasizing co-optimization of logic and circuit blocks. Her work develops design abstractions to simplify adoption of unconventional technologies. Dr. Volk's publications demonstrate expertise in superconducting circuit design, radiation-hardened CMOS for particle physics, and photonic materials. She has received numerous awards including the 2025 John D. Wiley Assistant Professorship and IEEE fellowships in applied superconductivity. 2025 John D. Wiley Assistant Professorship 2024 UC Santa Barbara President's Dissertation Year Fellowship 2023 IEEE CSC Graduate Study Fellowship in Applied Superconductivity 2022 IEEE Micro Top Picks Honorable Mention 2021 IEEE Micro Top Picks She teaches E C E 340 - Electronic Circuits I (Spring 2025). Her work bridges materials science, circuit design, and system architecture to enable next-generation computing platforms.

Christine MuschikView profile

Associate Professor

• Quantum Computing
• Quantum Simulation
• Quantum Information Science
• +4 more

Christine Muschik is an Associate Professor at the Institute for Quantum Computing (University of Waterloo) and Associate Faculty at Perimeter Institute for Theoretical Physics. Her research bridges quantum technologies with particle physics to develop hybrid quantum-classical simulation techniques. University of Waterloo (2017–present) Perimeter Institute (2019–present) University Research Chair (2022–present) Her work focuses on quantum simulation, quantum sensing, and high-dimensional quantum computing (qudits). Key applications include lattice gauge theories, quantum chemistry, and fundamental particle interactions. Recent publications highlight advancements in qudit-based simulation of vacuum dynamics and SU(2) hadron models. Awards include the CIFAR Azrieli Global Scholar Fellowship (2020–2022), Sloan Fellowship (2019), and Emmy Noether Fellowship (2018). Nature Physics 2025: Qudit simulation of lattice gauge theories Nature Communications 2021: SU(2) hadron modeling Nature 2016: Few-qubit lattice gauge simulations She teaches advanced quantum physics courses at the University of Waterloo and leads the "Quantum Interactions" research group.

Roman KremsView profile

Professor

• Quantum Physics
• Machine Learning
• Quantum Chemistry
• +3 more

Roman Krems is a Professor and Distinguished University Scholar at the University of British Columbia (UBC) in the Department of Chemistry, with affiliations to the Stewart Blusson Quantum Matter Institute. His research focuses on the intersection of quantum physics, machine learning, and chemistry, particularly in quantum materials and quantum technologies such as quantum computing and sensing. Key Roles: Professor at UBC (2013–present), Distinguished University Scholar (2017–present) Education: Ph.D. from Göteborg University (2002), Postdoctoral Fellow at Harvard-MIT Center for Ultracold Atoms (2003–05) Research Interests include: Quantum machine learning (QML) for solving complex physics problems Quantum scattering theory in electromagnetic fields Applications of quantum computing to chemistry Developing machine learning algorithms for quantum dynamics Recent publications highlight advancements in extrapolating quantum observables, Gaussian process models for collision dynamics, and quantum walks in disordered systems. His work bridges theoretical physics, computational methods, and experimental applications in cold molecule research. Scientific Awards include the UBC Killam Teaching Prize (2017), election as Fellow of the American Physical Society (2015), and the Keith Laidler Award (2013). He has held editorial board positions for journals such as Machine Learning: Science & Technology and New Journal of Physics . Research Group members include graduate students and postdocs working on quantum technologies, machine learning, and molecular scattering. He also contributes to outreach through invited talks and seminars at institutions like MIT and Lawrence Berkeley National Laboratory.

• CAD tools
• Digital architectures
• Emerging technologies
• +9 more

Giovanna Turvani is an Associate Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino, with affiliations in both the College of Electronic, Telecommunications and Physics Engineering and the College of Computer, Film, and Mechatronics Engineering. Scientific Branch: IINF-01/A - Electronics ERC Sectors: PE7_4, PE7_11, PE6_1, PE6_14, PE7_3 SDG Goals: Quality Education, Gender Equality, Affordable Energy, Industry Innovation Her research focuses on advanced electronics and quantum technologies, including: Logic-in-memory computing Quantum computing architectures Microwave imaging for medical and agricultural applications CAD tools for emerging nanotechnologies Embedded systems for bee health monitoring IoT solutions for bio-waste valorization Publications show strong expertise in quantum computing, nanocomputing, and microwave imaging, with recent trends emphasizing quantum optimization frameworks, in-memory architectures, and IoT-based agricultural technologies. She supervises PhD students in areas like quantum machine learning algorithms, predictive on-board systems, and quantum hardware design. Collaborations span multiple disciplines, including medical device development and agricultural electronics. Patents include innovations in microwave imaging, racetrack memory logic functions, and in-memory computing devices.

• Materials Science
• Condensed Matter Physics
• Computational Modeling
• +7 more

Alejandro Strachan is an Assistant Professor of Materials Engineering at Purdue University's College of Engineering. His research focuses on molecular modeling of advanced materials, with specific emphasis on atomistic and mesoscale simulations of condensed-phase chemistry, active materials, nanotechnology, and mechanical properties of structural materials. Ph.D. in Physics, University of Buenos Aires (1998) Postdoctoral Research, Caltech's Materials Process Simulation Center (1999-2002) Strachan's work integrates computational methods with machine learning to study material behavior under extreme conditions, including shock waves and high-pressure environments. His research spans energetic materials, phase transitions, and multiscale modeling frameworks. Recent publications highlight trends in combining quantum-accurate simulations with deep learning for non-equilibrium systems, FAIR data infrastructure for materials discovery, and multiscale reactive models for energetic composites. He also explores mechanochemistry, defect dynamics, and microstructure-property relationships. His computational simulations often address practical challenges in material stabilization, polymer interactions, and hotspot formation mechanisms. Strachan actively contributes to open science initiatives through platforms like nanoHUB and HUBzero.

• Uncertainty Quantification
• Non-equilibrium Plasmas
• Hypersonics
• +3 more

Marco Panesi is a Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign and Director of the Center for Hypersonics and Entry Systems Studies (CHESS). His research focuses on non-equilibrium phenomena in high-enthalpy flows, plasma dynamics, and uncertainty quantification. He holds a Ph.D. from the von Kármán Institute for Fluid Dynamics (2009) and M.S. degrees from Università di Pisa (2003) and VKI (2005). Roles: Faculty Member, Research Director, Principal Investigator Key Affiliations: CHESS, University of Illinois, VKI Research Interests: Hypersonic flow modeling, non-equilibrium plasmas, radiation effects, machine learning applications in aerothermodynamics, ablation processes, and state-to-state chemistry. His work bridges computational fluid dynamics with experimental validation in facilities like the Plasmatron X wind tunnel. Publications: Over 100 peer-reviewed articles on topics ranging from plasma kinetics to thermal protection systems. Recent work emphasizes adaptive neural operator models and Bayesian uncertainty quantification. Awards: Includes the Vannevar Bush Faculty Fellowship (2021), NASA Groundbreaker Award (2021), and multiple early-career recognitions from AFOSR, NASA, and ESA. Grants & Leadership: Secured funding from NSF, NASA, and DOD. Leads multidisciplinary teams on projects like the CHyPS material response solver and hypersonic entry modeling. Labs & Facilities: Principal investigator for the UIUC Plasmatron X facility, a key resource for studying high-enthalpy plasma flows.