جستجوی استاد راهنمای دانشگاهی

Yunjie Yangمشاهده پروفایل

دانشیار

• AI-powered sensing and imaging
• Machine learning
• Soft sensors & electronics for robotics
• +۵ مورد دیگر

Dr. Yunjie Yang is an Associate Professor at the University of Edinburgh's School of Engineering, with affiliations at the Edinburgh Futures Institute (EFI), the Edinburgh Generative AI Laboratory (GAIL), and the Edinburgh Centre for Robotics. He previously held the Chancellor's Fellow in Data Driven Innovation (2018-2023) and Bayes Innovation Fellow (2023-2024) positions. His research focuses on AI-powered sensing and imaging, machine learning, and soft sensors & electronics for robotics. Yang received his PhD in Engineering Electronics from the University of Edinburgh, MSc in Control Science & Engineering from Tsinghua University, and BEng in Measurement & Control Engineering from Anhui University. After his PhD, he worked as a Postdoctoral Research Associate in Chemical Species Tomography before securing his lectureship. His research interests center on developing intelligent sensing systems that replicate human perception capabilities for robotics and intelligent systems. He pioneers flexible sensing and imaging technologies across various scales through innovative multi-modal sensors, soft electronics, and their modeling using machine learning approaches. His work aims to enable autonomous physical artificial intelligence by bridging the gap between robotic systems and human-like perception. Analysis of his recent publications reveals a strong focus on soft robotics perception, particularly through electrical impedance tomography (EIT) and transformer-based architectures. His research spans medical imaging applications, digital twin modeling for industrial processes, and machine learning approaches for sensor data interpretation. The trend shows increasing integration of physics-informed deep learning with traditional tomographic techniques to achieve higher accuracy and efficiency. European Research Council (ERC) Starting Grant (2024) IEEE J. Barry Oakes Advancement Award (2024) IEEE I&M Society Graduate Fellowship Award (2015) Multiple Best Paper Awards Senior Member of IEEE Fellow of the International Society for Industrial Process Tomography Fellow of the Higher Education Academy ESI highly cited papers Dr. Yang serves as Associate Editor for IEEE Transactions on Instrumentation and Measurement and holds editorial positions with Scientific Reports and IEEE Sensors Journal. His research has been licensed to overseas research institutes and industry partners and received wide media coverage including BBC, EFE, USA Today, and STV. He has secured significant grant funding including the prestigious ERC Starting Grant. He leads the Edinburgh SMART Lab (Sensing/imaging + Machine Learning + Robotics), which aims to replicate human perception capabilities for robotics and advance flexible sensing technologies through innovative multi-modal sensors and machine learning approaches. The lab focuses on enabling autonomous physical artificial intelligence with applications spanning medical diagnostics, industrial monitoring, and advanced robotics systems.

Nori Francoمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Information
• Quantum Optics
• +۶ مورد دیگر

Nori Franco serves as Professor in the Department of Physics at the University of Michigan and Chief Scientist at RIKEN's Theoretical Quantum Physics Laboratory in Japan. His dual appointments reflect his significant contributions to both American and Japanese academic communities, with continuous service at Michigan since 1990 and at RIKEN since 2002. His research spans quantum information, condensed matter physics, and quantum optics, with particular focus on light-matter interactions, superconducting qubits, optomechanics, and quantum open systems. Franco's work bridges theoretical foundations with experimental implementations, especially in circuit quantum electrodynamics and quantum computing applications. Analysis of his recent publications reveals a strong emphasis on non-Hermitian quantum systems, quantum control techniques, and applications of quantum information science to fundamental physics problems. His research group consistently produces highly cited work, with publications appearing in top journals across quantum physics and condensed matter disciplines. Scientific Awards: Charles Hard Townes Medal (2024) - sole recipient for fundamental contributions to quantum optics and quantum information processing Research Doctorate Honoris Causa from University of Messina (2024) Highly Cited Researcher for eight consecutive years (2017-2024) Member of Academia Europaea (2023) Willis E. Lamb Medal (2023) for quantum electronics research Throughout his career, Franco has secured significant research funding and mentored numerous students and postdoctoral researchers. His work has received international recognition through invitations to deliver prestigious lectures including the Stanislav Ulam Lecture and Sir Nevill Mott Lecture in 2024. His research group maintains strong collaborations across multiple continents, reflecting his global impact on quantum physics. At RIKEN, Franco leads the Quantum Information Physics Theory Research Team within the Quantum Computing Center, directing cutting-edge theoretical work that complements experimental efforts in quantum computing hardware development.

Dario Vretenarمشاهده پروفایل

استاد

• Theoretical Nuclear Physics
• Energy Density Functional Theory
• Low-Energy Nuclear Effective Field Theory
• +۳ مورد دیگر

Dario Vretenar is a Professor of Physics at the Department of Physics, Faculty of Sciences, University of Zagreb (since 2001). He has held academic roles including Associate Professor (1997-2001) and Assistant Professor (1993-1997). His research focuses on theoretical nuclear physics, particularly energy density functional theory, nuclear weak interactions, and computational physics. He has held visiting positions at institutions such as Technical University Munich (Visiting Professor, 1999-2000) and University of Tokyo (2010). Education: Ph.D. in Theoretical Nuclear Physics (University of Zagreb, 1988); M.Sc. in Physics (University of Zagreb, 1982). Postdoctoral fellowships included Yale University (1990) and Alexander von Humboldt Fellowships at Technical University Munich (1991-1993, 1997). Research Interests: Algebraic structure models for high-angular momentum states Low-energy nuclear effective field theory Nuclear astrophysical applications Development of relativistic energy density functionals Publications: Over 210 peer-reviewed articles (h-index 43, 7,000+ citations), 8 books, and 100+ conference contributions. Notable works include studies on nuclear clustering, quantum phase transitions, and neutron skin structure. Awards: Croatian Academy of Science and Arts Award for Science and Mathematics (2002) Croatian National Award for Science (2003) Fellow of the Croatian Academy of Sciences and Arts (2012) Service Roles: President of the Croatian Science Foundation (2013–present) Chair of the Physics Committee, Agency for Science and Higher Education, Croatia (2009–present) Board Member of Euroschool on Exotic Beams (2012–present) Teaching: Courses include Quantum Physics, Nuclear Structure, and Nuclear Astrophysics at undergraduate and graduate levels. Supervised numerous students in theoretical nuclear physics.

Cesare Franchiniمشاهده پروفایل

استاد

• Quantum Materials
• Computational Physics
• First Principles Methods
• +۷ مورد دیگر

Cesare Franchini is a full Professor at the University of Vienna's Faculty of Physics, leading the Computational Materials Physics research group. His work focuses on theoretical understanding and computational modeling of quantum materials using first principles methods, particularly VASP. He maintains an active research program with numerous postdocs, PhD students, and collaborations across multiple institutions including the University of Bologna. Professor Franchini's research centers on quantum materials with many interacting degrees of freedom (lattice, spin, and electron orbital) that enable novel electronic and magnetic phases. His specific interests include metal-insulator transitions, polaron physics (electron-phonon interactions), non-collinear spin orderings, topological Dirac/Weyl phases, multiferroism, and superconductivity. He has increasingly incorporated machine learning data-driven tools and diagrammatic Monte Carlo techniques into his computational approaches. Analysis of his recent publications (2024-2025) reveals a strong focus on polaron physics across multiple material systems, with significant work on hematite, titanium dioxide, and quantum paraelectrics like KTaO3. His research increasingly integrates machine learning with traditional first-principles methods, particularly for studying hydrogen diffusion, surface science phenomena, and electronic structure calculations. There's also substantial work on single-atom catalysis and the application of advanced computational techniques to understand fundamental charge transport mechanisms in energy materials. Professor Franchini actively supervises numerous PhD students and postdocs, including Andrea Angeletti, Viktor Birschitzky, Lorenzo Celiberti, and several others working on diverse aspects of computational materials physics. He leads or participates in major research projects including TACO (Taming Complexity in Materials Modeling), DCAFM (Doctoral College Advanced Functional Materials), and the recently launched Spin-orbit entangled anharmonic polarons project. His group maintains strong collaborations with experimentalists at Charles University, Technical University of Vienna, and other international institutions.

Ilaria Perugiaمشاهده پروفایل

استاد

• Numerical methods for PDEs
• Finite element methods
• Discontinuous Galerkin methods
• +۶ مورد دیگر

Ilaria Perugia is a University Professor (Univ.-Prof.) and Chair of Numerics of PDEs at the Department of Mathematics, Faculty of Mathematics, University of Vienna. She also serves as Deputy Head of the Research Platform Erwin Schrödinger International Institute for Mathematics and Physics. Her research focuses on numerical methods for partial differential equations with applications in computational physics and engineering. Professor Perugia's primary research interests include: Numerical methods for PDEs Finite element methods Discontinuous Galerkin methods Trefftz methods Virtual element methods Space-time methods Computational electromagnetics Wave propagation problems Nonlinear reaction-diffusion problems Her work spans theoretical analysis, algorithm development, and practical implementation of numerical methods for solving complex physical phenomena. Her recent publications demonstrate a strong focus on space-time methods, virtual element methods, and structure-preserving discretizations for wave equations, heat equations, and other PDEs. She has made significant contributions to the development of stable and efficient numerical schemes that preserve important physical properties of the underlying continuous problems, particularly in the context of wave propagation and computational electromagnetics. Professor Perugia leads a research group comprising several researchers and students including Mattia Corti, Matteo Ferrari, Monica Nonino, Andrea Scaglioni, Paul Stocker, Enrico Zampa, and Marco Zank. Her group actively collaborates on projects related to numerical analysis and scientific computing, with particular emphasis on developing novel discretization techniques for challenging PDE problems.

Peter Zollerمشاهده پروفایل

استاد

• Theoretical Physics
• Quantum Optics
• Many-Body Quantum Physics
• +۳ مورد دیگر

Peter Zoller is a Professor of theoretical physics at the University of Innsbruck and Scientific Director at IQOQI Innsbruck (Austrian Academy of Sciences). His research focuses on quantum optics, many-body quantum physics, and quantum information science, with a strong emphasis on quantum simulation of gauge theories and atomic systems. He has trained 34 PhD students and hosted 57 postdoctoral researchers, fostering collaborations between theory and experiment. His group, the Zoller Group, explores quantum phenomena such as lattice gauge theories, entanglement dynamics, and topological order using advanced quantum simulation techniques. Key research interests include atomic physics, quantum gases, and applications of quantum technologies to high-energy physics problems. Recent work addresses string breaking in quantum simulators, entanglement Hamiltonians, and scalable architectures for fermionic quantum processors. Collaborations span institutions like Harvard, MIT, and the University of Innsbruck’s experimental teams. His contributions bridge foundational physics with cutting-edge quantum technologies, aiming to solve problems inaccessible to classical methods.

Matthew Jonathan Rosseinskyمشاهده پروفایل

استاد

• Materials chemistry
• Solid state chemistry
• Electronic materials
• +۳ مورد دیگر

Professor Matthew Jonathan Rosseinsky holds the Chair of Inorganic Chemistry at the University of Liverpool, a position he has occupied since October 1999. His career includes significant appointments at the University of Oxford (1992-1999) and Bell Laboratories in New Jersey (1990-1992), following his DPhil at Merton College, Oxford. As a Fellow of the Royal Society and recipient of numerous prestigious awards, Professor Rosseinsky maintains an active research program and leadership roles in the international chemistry community. Professor Rosseinsky's educational background includes a First Class Honours degree in Chemistry with Quantum Chemistry from the University of Oxford (1987) and a DPhil in "Physical Properties of Superconducting Oxides and Radical Cation Salts" completed in 1990 under Professor P. Day FRS. His research focuses on the synthesis of new materials with applications in energy storage and generation, communications, separation, and catalysis. The Rosseinsky Group employs a broad range of synthesis and characterization techniques, including neutron and synchrotron X-ray diffraction, combined with computational methods in collaboration with Dr. George Darling. Current research areas include Dynapore, CO2 fuels, SOLBAT, and CATMAT projects that target specific material challenges. Professor Rosseinsky's publication record is exceptional, with 304 papers including 11 in Nature, 6 in Science, and 3 in Nature Materials, accumulating over 15,000 citations and an h-index of 56 as of 2012. His work demonstrates consistent excellence across materials chemistry, with particular emphasis on porous frameworks, electronic materials, and solid-state chemistry. Among his numerous accolades are the Harrison Memorial Prize (1991), Corday-Morgan Medal (2000), Royal Society Wolfson Research Merit Award (2002), De Gennes Prize (2009), and the prestigious Hughes Medal from the Royal Society (2011). He also holds an ERC Advanced Investigator Grant and has delivered distinguished lectures worldwide. Professor Rosseinsky has served in numerous editorial and advisory capacities, including as Associate Editor for Chemical Sciences, membership on the Royal Society Conference and Travel Grant Committee since 2007, and as a member of the International Advisory Board for the Max Planck Institut for Solid State Research since 2011. His professional activities extend to international review committees for research institutions in France, South Korea, and Saudi Arabia. The Rosseinsky Group operates within the Department of Chemistry at the University of Liverpool, collaborating extensively with researchers including Dr. John Claridge, Professor Andrew Cooper, and Professor Paul Chalker. The group maintains strong international partnerships and utilizes advanced facilities for materials synthesis and characterization to drive innovation in functional materials development.

Thierry Langerمشاهده پروفایل

استاد

• Computer-Aided Molecular Design
• Pharmacophore Modeling
• Drug Discovery
• +۷ مورد دیگر

Professor Thierry Langer is a Full Professor of Pharmaceutical Chemistry at the University of Vienna’s Faculty of Life Sciences (Department of Pharmaceutical Sciences). He leads research in computational drug design, with a focus on pharmacophore modeling, 3D-QSAR analysis, and AI-driven molecular design. His work bridges theoretical and experimental chemistry, addressing targets like viral proteases (e.g., SARS-CoV-2), GABA receptors, and dopamine transporters. Research interests include: Pharmacophore-guided drug discovery for anti-viral and CNS therapies Development of next-generation computational tools (e.g., PharmacoMatch, QPhAR) Protein-ligand interaction modeling using neural networks and graph-based algorithms Recent studies focus on: Inhibitors for herpesvirus nuclear egress complexes, AI-optimized antivirals, and dopamine transporter inhibitors for cognitive enhancement. His lab collaborates on projects like the NeuroDeRisk initiative to de-risk neurotoxic compounds. Publications emphasize drug repurposing, metabolic pathway analysis, and scalable synthesis methods for promising drug candidates.

• Quantum Computing
• Quantum Information Science
• Quantum Simulation
• +۳ مورد دیگر

Martin Ringbauer is an Associate Professor at the Department of Experimental Physics , University of Innsbruck . His research focuses on advancing quantum computing and quantum simulation through innovative applications of trapped ion qudits and high-dimensional quantum systems . Affiliation: Department of Experimental Physics, University of Innsbruck Research Areas: Lattice gauge theories, symmetry-protected topological phases, quantum verification protocols, and fidelity estimation Key Contributions: Development of qudit-based quantum processors for simulating complex physics, experimental demonstrations of quantum error correction and joint measurements His recent publications highlight advancements in quantum simulation (lattice gauge theories, Haldane phases), quantum verification (fidelity estimation, classical validation), and qudit engineering (mixed-dimensional frameworks, entanglement optimization). These works leverage trapped ion technology as a platform for scalable and precise quantum operations.

• Condensed Matter Physics
• Electronic and Thermal Transport
• Time-Dependent Density Functional Theory (TDDFT)
• +۶ مورد دیگر

Angel Rubio is a distinguished Professor of Physics at the University of Hamburg and holds concurrent roles as Director of the Max Planck Institute for the Structure and Dynamics of Matter, and Distinguished Professor at the University of the Basque Country (UPV/EHU). He leads the Wolfgang Pauli Centre and the Nano-bio Spectroscopy group. His academic journey includes Full Professorships at UPV/EHU (2001–2014) and positions at the Simons Foundation’s Flatiron Institute, UC Berkeley, and the Fritz Haber Institute. Rubio is a global leader in computational quantum physics, particularly in TDDFT and nanomaterials. Education : Ph.D. in Physics, University of Valladolid, 1991 (Summa Cum Laude) B.S. in Physics, University of Valladolid, 1988 (Summa Cum Laude) Research Focus : Rubio’s work centers on electronic structure methods, time-resolved spectroscopy, and quantum many-body theory. He pioneered the open-source octopus code for ab initio simulations, widely used globally. His contributions span nanocapillarity, nanoplasmonics, and strong light-matter interactions, with applications in novel materials and energy systems. Grants & Leadership : Holder of two ERC Advanced Grants (DYNamo and QSpec-NewMat), Rubio directs the European Theoretical Spectroscopy Facility (ETSF). His research has garnered over 28,000 citations (H-index 82) and 65 papers with >100 citations. He is a vocal advocate for computational physics, organizing >50 international workshops and advising major institutes like the Psi-k Network. Recognition : Top 0.3% in the American Physical Society’s Author Rank Honor Prize for Best Ph.D. Thesis (1992) Member of multiple national academies and advisory boards

• Optimization and Optimal Control
• Partial Differential Equations
• Inverse Problems
• +۹ مورد دیگر

Prof. Karl Kunisch is the Scientific Director at RICAM (Johann Radon Institute for Computational and Applied Mathematics) and a Full Professor of Mathematics at the University of Graz, Austria. He has held academic positions worldwide, including visiting roles at Brown University, INRIA, and Technical University Berlin. His research focuses on Optimization and Optimal Control, Partial Differential Equations (PDEs), Inverse Problems, and their applications in mathematical imaging, medicine, and computational science. Education: 1975: Diploma Degree, Technical University of Graz, Austria 1975: Master Degree, Northwestern University, Evanston, Illinois, USA 1978: Ph.D. Degree, Technical University of Graz 1980: Habilitation, Technical University of Graz Research Interests: Prof. Kunisch’s work spans theoretical and applied aspects of optimal control, including stabilization of PDEs, infinite horizon control problems, and feedback design. He explores numerical methods for PDE-constrained optimization and their applications in medical imaging, cardiac electrophysiology, and machine learning. His projects also address shape optimization and mathematical models for fluid dynamics and quantum systems. Publications Trends: His recent articles emphasize feedback stabilization for nonlinear systems, sparse control approaches, and the intersection of optimal control with machine learning. Key themes include robust algorithms for uncertainty handling, efficient numerical methods for high-dimensional problems, and applications in biomedical engineering. Awards: Pro Scientia-Scholarship (1974–1977) Research Award of Theodor-Körner-Fonds (1979) Fulbright Travel Scholarship (1979/80, 1985) Max Kade Scholarship (1982–83) Japanese Society for the Promotion of Science Fellowship (1990) Christian Doppler Laboratory Fellowship (1992) Advising & Grants: Prof. Kunisch leads the Optimization and Optimal Control research group at RICAM and has directed projects on mathematical data science and inverse problems. His work involves collaborations with institutions globally and has been supported by grants from NASA, the European Union, and national funding bodies. He has advised numerous researchers, though specific student names are not listed here. Labs/Teams: Group Leader of the Group "Optimization and Optimal Control" at RICAM since 2004, contributing to interdisciplinary research in computational mathematics and its applications.

• Carbon Nanotubes
• Graphene
• Nanomaterials
• +۳ مورد دیگر

Paola Ayala is a Professor at the Faculty of Physics of the University of Vienna, specializing in the Electronic Properties of Materials . Her research focuses on nanomaterials, particularly carbon nanotubes, graphene, and carbyne, exploring their electronic, magnetic, and optical properties. She leads the Doctoral College Advanced Functional Materials (DCAFM) (2020–2025), fostering interdisciplinary training in nanotechnology. Key research areas include nitrogen doping of carbon nanotubes, magnetic coupling in nanoclusters, and sensor applications of nanocomposites. She has pioneered studies on confined carbyne synthesis and the environmental stability of 1D nanocarbons. Ayala’s work bridges theoretical modeling (e.g., DFT simulations) and experimental techniques like Raman spectroscopy and XPS analysis. Her 2017 Matilde Hidalgo Prize recognizes contributions to nanomaterials science. She actively promotes STEM equity, co-authoring reports on women in physics in Austria and Ecuador. Ayala has supervised over 97 publications since 2007, with recent emphasis on functional nanomaterials for energy, sensing, and biomedical applications. Notable projects include developing flexible formaldehyde sensors and investigating magnetic properties of iron nanoclusters. She collaborates globally, presenting at conferences like the 2024 UNIVIE NanoteC Symposium and the 2023 International Nanotechnology Congress.

• Formal Methods
• Software Verification
• Concurrent Systems
• +۶ مورد دیگر

Thomas Henzinger is a Professor at the Institute of Science and Technology Austria (ISTA), where he leads the Henzinger Thomas Group focused on improving software reliability through mathematical methods. He previously served as ISTA's President (2009–2022) and held academic positions at EPFL, Max Planck Institute, UC Berkeley, and Cornell University. Education: Dipl.-Ing. in Computer Science (Johannes Kepler University, Austria), M.S. in Computer and Information Sciences (University of Delaware), PhD in Computer Science (Stanford University), and Honorary Doctorates from Fourier University (France) and Masaryk University (Czech Republic). The group's research spans concurrent systems , embedded systems , quantitative model checking , runtime monitoring , and trustworthy AI . They develop tools like HyTech and VAMOS, emphasizing predictability, robustness, and fairness in safety-critical software. Recent publications highlight trends in quantitative automata , fairness in AI , quantum algorithms , and automata theory , reflecting interdisciplinary applications from cyber-physical systems to neural networks. Collaborative projects include SPyCoDe (security foundations) and VAMOS (software monitoring). Honors & Awards: 2024 Fellow of the Royal Society 2020 Member, US National Academy of Sciences 2015 Royal Society Milner Award 2012 Wittgenstein Award 2006 ACM and IEEE Fellow 1995 NSF CAREER and ONR Young Investigator Awards Henzinger advises current and former PhD students including Mahyar Karimi, Pavol Kebis, and Mathias Lechner. His grants include ERC Advanced Grants (QUAREM, VAMOS) and FWF funding (Wittgenstein Award, NFN RISE). Labs & Teams: He leads the Henzinger Thomas Group at ISTA, collaborating with FORSYTE (TU Wien) and contributing to EU-funded initiatives. The group integrates postdocs, PhD students, and interns in formal methods and system verification.

• Nonlinear Partial Differential Equations
• Mathematical Physics
• Semiconductor Theory
• +۷ مورد دیگر

Ansgar Jüngel is a Full Professor for Analysis of Nonlinear Partial Differential Equations (PDEs) at the Technische Universität Wien (TU Vienna), affiliated with the E101-Institute for Analysis and Scientific Computing. His academic journey includes roles at universities in Berlin, Konstanz, Mainz, and Vienna since 1991. He specializes in mathematical analysis of cross-diffusion systems, entropy methods, semiconductor models, and quantum fluid dynamics. Notable achievements include an ERC Advanced Grant (2021) and the Tsungming-Tu Award (2011). Research focuses on nonlinear PDEs with applications in physics, engineering, and biology, emphasizing rigorous existence theory, numerical methods, and entropy-based approaches. Recent projects include 'Emerging network structures and neuromorphic applications' and 'Taming complexity in partial differential systems.' His teaching includes courses on partial differential equations, calculus of variations, and computational finance. Publications span over 200 works, with key contributions on cross-diffusion models, quantum hydrodynamics, and energy-transport systems. He has supervised numerous PhD students and collaborates internationally on topics like semiconductor simulations and stochastic interacting particle systems. Grants include an FWF Special Research Programme and ERC funding.

• Quantum Information
• Quantum Computing
• Quantum Many-Body Physics
• +۹ مورد دیگر

Univ.-Prof. Dr. Norbert Schuch is a Professor of Physics and Mathematics at the University of Vienna, leading the Quantum Information and Quantum Many-Body Physics group. His research bridges Quantum Information Theory, Quantum Computing, and the study of complex quantum many-body systems, with a focus on Tensor Networks, Topological Order, and Symmetry Breaking. He has offices at both the Faculty of Physics (Boltzmanngasse 9) and Faculty of Mathematics (Oskar-Morgenstern-Platz 1). Research Interests : Quantum Information at the interface of Many-Body Physics, including Entanglement Theory, Topological Quantum Computation, Tensor Network algorithms, and Symmetry-Protected Topological (SPT) phases. His work develops numerical and analytical frameworks to study entanglement order parameters and prepare/experiment with topological states in quantum simulators. Teaching : Courses on Quantum Information, Quantum Computing, Theoretical Physics, and seminars on quantum many-body topics. Prior to Vienna, he was a tenured group leader at Max-Planck-Institute of Quantum Optics and a lecturer at Technical University Munich. Scientific Awards : ERC Consolidator Grant SEQUAM (2020–2025) FWF ESPRIT Programme ESP 306 FWF SFB BeyondC FWF Entanglement Order Parameters Research Trends : His recent publications explore Quantum Algorithms, Tensor Networks for Topological Phase Transitions, Entanglement Spectra, and Symmetry-Protected Phases. Key subfields include Non-Abelian Anyons, Chiral Spin Liquids, and Computational Complexity in Many-Body Systems. Group Members : Current team includes postdocs like Dr. Ilya Kull and Dr. András Molnár, with historical alumni spanning PhDs, Masters, and BSc students now at institutions like Xanadu, MIT, and Quantinuum.