Find Academic Supervisors

Gabriel KotliarView profile

Professor

• many body physics
• statistical mechanics
• computational physics
• +3 more

Prof. Gabriel Kotliar is a Distinguished Board of Governors Professor in the Department of Physics and Astronomy at Rutgers, University of New Jersey. He leads the Center for Material Design and Theoretical Spectroscopy, focusing on strongly correlated electron systems. His research spans many-body physics, quantum science, and computational materials design. He has pioneered methodologies like Dynamical Mean Field Theory (DMFT), contributing to understanding superconductivity, Mott transitions, and plutonium's electronic structure. Kotliar's work has been recognized with numerous awards, including the Eugene Feenberg Medal and the Aneesur Rahman Prize. He directs the Comscope Center, advancing computational tools for correlated materials. His group collaborates internationally, emphasizing material design and theoretical spectroscopy. Affiliations: Center for Computational Design of Functional Materials, Comscope Director Education: Ph.D. in Physics (details unspecified) Research interests include novel methodologies for strongly correlated systems, with applications to transition metal oxides, actinides, and high-temperature superconductors. His group's theoretical frameworks bridge electronic structure calculations and experimental observations, as seen in studies of plutonium's phonon spectra and iron pnictides. Notable achievements include predicting plutonium's electronic behavior, developing the ComSuite software package, and uncovering Hund's metal physics. Awards reflect his impactful contributions to condensed matter theory and computational physics. Grants include a DOE-funded $12M center for computational design. He advises students and postdocs, mentoring over 50 researchers. His lab explores theoretical spectroscopy for complex correlated materials, addressing frontiers in 21st-century condensed matter science.

• Theoretical Physics
• Materials Science
• Nanotechnology
• +5 more

Ivan MARRI is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering Sciences and Methods. His research focuses on theoretical physics, materials science, and computational chemistry, with a strong emphasis on nanocrystals and low-dimensional systems. He investigates the electronic and optical properties of silicon, germanium, and their alloys, exploring applications in photovoltaics and optoelectronics. His work leverages ab initio calculations and density functional theory to study quantum confinement effects, carrier dynamics, and surface chemistry. Dr. Marri teaches courses in High Performance Computing for Advanced Physical Analysis, Physics II, and Physics of Bodies, emphasizing numerical methods, parallel computing, and fundamental physics principles. His research spans topics such as carrier multiplication in silicon nanocrystals, strain effects in GeSi core-shell systems, and work function modulation in semiconductor surfaces. His publications highlight contributions to understanding nanocrystal interactions, exciton dynamics, and the role of surface functionalization in material properties. While no specific awards are listed, his extensive body of work reflects a deep engagement with theoretical and computational materials science.

• Quantum Physics
• Computational Physics
• Quantum Chemistry
• +3 more

Giuseppe Carleo is an Associate Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences (SB) and the Institute of Physics (IPHYS). He leads the Numerical Quantum Sciences Lab (CQSL) and holds roles such as Co-directeur in STI-SSIQ and member of doctoral committees. His research focuses on computational quantum physics, quantum many-body systems, and machine learning applications in physics. He teaches courses like Advanced computational physics and Computational quantum physics . He supervises multiple PhD students and has contributed to over 50 publications, including studies on neural network quantum states and quantum dynamics. His work bridges theoretical physics with computational methods, addressing challenges in quantum chemistry and condensed matter systems. Education: PhD in Theory and Numerical Simulation of Condensed Matter from SISSA, Trieste (2007-2011). His research interests emphasize leveraging machine learning and numerical techniques to solve complex quantum problems. He actively contributes to the development of open-source tools like NetKet for quantum system simulations.

Yuan-Ming LuView profile

Professor

• Condensed Matter Theory
• Topological Phases
• Quantum Spin Liquids
• +7 more

Yuan-Ming Lu is a **Professor of Physics** at **The Ohio State University (OSU)**, where he leads a theoretical condensed matter physics group. His research focuses on **topological phases of matter**, **quantum spin liquids**, and **strongly correlated systems**, combining analytical and numerical methods. He holds visiting professorships at the **Yukawa Institute for Theoretical Physics (Kyoto University)** and the **Institute for Solid State Physics (University of Tokyo)**. Lu earned his PhD in Physics from **Boston College (2011)** and BSc from **Tsinghua University (2007)**. His work is funded by the **National Science Foundation (NSF)** and the **Center for Emergent Materials (CEM)**. Key research areas include topological magnons, symmetry-enriched topological (SET) orders, and quantum phase transitions. His group explores material realizations of topological phases and their experimental signatures, with recent highlights in high-throughput materials discovery and magnon classification. Lu advises graduate students and collaborates with experimental groups, such as the **Vidya Madhavan Lab (UIUC)**. Education : PhD, Physics, Boston College, 2011 (Advised by Ziqiang Wang) BSc, Tsinghua University, 2007 Research Interests : Topological phases (magnons, crystalline materials, superconductors) Quantum spin liquids and fractionalization Symmetry constraints on topology (LSM theorems) Entanglement in topological orders His articles explore topics like **magnon topology in honeycomb Kitaev magnets**, **anyon condensation-driven phase transitions**, and **symmetry-enforced chiral hinge states**. Recent work emphasizes **high-throughput discovery of topological materials** and **ultrafast laser-driven dynamics**. Lu’s lab includes postdocs and students working on **topological bootstrap mechanisms**, **quantum criticality**, and **gapped boundary theories** of topological orders. Grants & Collaborations : NSF-funded projects on Floquet topological states and CEM-supported research on emergent materials. Cross-disciplinary collaborations with mathematicians (e.g., Dave Penneys) and experimentalists (e.g., Vidya Madhavan) drive theoretical-experimental synergy. Labs/Teams : The Lu Group at OSU focuses on computational and theoretical tools for classifying topological phases, with emphasis on **magneto-Raman spectroscopy signatures** and **entanglement entropy diagnostics**.

Lauren HaywardView profile

Adjunct Assistant Professor

• Computational Quantum Physics
• Quantum Many-Body Systems
• Statistical Mechanics
• +2 more

Lauren Hayward is a Teaching Faculty member at the Perimeter Institute for Theoretical Physics and an Adjunct Assistant Professor in the Department of Physics and Astronomy at the University of Waterloo. She holds a PhD (2017) and MSc (2012) from the University of Waterloo, alongside a BSc in Physics and Computer Science from the University of Manitoba (2011). Her research focuses on computational quantum matter physics, particularly leveraging numerical methods to explore phases of quantum many-body systems and integrating machine learning into condensed matter theory. She is actively involved in educational outreach, curriculum development, and co-hosts the podcast Conversations at the Perimeter , which highlights scientific efforts to decode the universe. At Perimeter Institute, she leads academic programs and teaches courses in statistical mechanics, condensed matter theory, and machine learning. Her recent seminars, such as Machine Learning for Many-Body Physics (2022/2023), emphasize interdisciplinary approaches to theoretical physics. She encourages prospective students to apply to the Perimeter Scholars International (PSI) masters program.

• Quantum Dots
• Semiconductor Physics
• Optical Properties
• +3 more

Mehmet Sahin is an Associate Professor in the Department of Material Science and Nanotechnology Engineering at Abdullah Gul University (AGU). He holds a Ph.D. in Physics from Selcuk University (2005), with postdoctoral research at Bilkent University and the University of Sheffield. His research focuses on theoretical and computational studies of semiconductor quantum dots, excitons, and optical properties, alongside experimental work on semiconductor devices. He has held administrative roles, including Director of AGU's Graduate School of Natural and Applied Sciences (2012–2013) and Head of Material Science and Nanotechnology Engineering (2012–2013). Education: Ph.D. in Physics (Selcuk University, 2005) M.Sc. in Physics (Erciyes University, 1999) B.Sc. in Physics (Selcuk University, 1994) Research Interests: Theoretical investigations of quantum dots, excitonic interactions, optical transitions, and computational methods (e.g., genetic algorithms, matrix diagonalization). Experimental studies include electrical and optical characterization of semiconductor materials, including Schottky diodes and quantum dot solar cells. His work bridges nanotechnology, condensed matter physics, and optoelectronics. Grants & Projects: TUBITAK 1001 Research Project (2010–2012): Computational study of excitons in multi-layered quantum dots. SELÇUK BAP Project (2011–2013): Electrical characterization of GaAs Schottky diodes. Labs & Collaborations: Collaborates with institutions like UNAM's National Material Science Center and the University of Arkansas. His research group develops novel semiconductor nanostructures for optoelectronic applications.

• Multi-body dynamics
• Vibrations and acoustics
• Phononic band gap structures
• +4 more

Prof. Çetin Yılmaz is a Professor of Mechanical Engineering at Boğaziçi University's College of Engineering, specializing in vibrations, acoustics, and elastic metamaterials. He holds a Ph.D. from the University of Michigan (2005). His research focuses on vibration isolation systems, phononic band gap structures, and inertial amplification mechanisms. He has led numerous national and industrial projects, including TÜBİTAK-funded initiatives and collaborations with companies like ARÇELİK and Otokar. Educational Background: Ph.D. Mechanical Engineering, University of Michigan, 2005 M.S. Mathematics, University of Michigan, 2002 M.S. Mechanical Engineering, University of Michigan, 2001 B.S. Mechanical Engineering, Boğaziçi University, 2000 Research Interests: His work addresses low-frequency vibration suppression through advanced materials and mechanisms. Key areas include quasi-zero stiffness systems, adaptive vibration absorbers, and elastic metamaterials. He has pioneered inertial amplification techniques to create ultra-wide phononic band gaps for structural vibration isolation. Publications & Impact: Recent studies focus on three-axis vibration isolation systems, self-tuning mechanisms, and topological optimization of metamaterials. His work balances theoretical modeling, numerical analysis, and experimental validation, often addressing automotive and industrial noise/vibration challenges. Awards & Recognition: Excellence in Research Award (Boğaziçi University, 2019) TÜBİTAK Career Award (2011) Outstanding Young Scientist Award (GEBIP, 2017) Advising & Grants: He has supervised over 15 graduate students, many of whom pursue academic or industry R&D roles. Current students focus on visco-hyperelastic materials, 3D metamaterials, and vibration energy harvesters. His grants total over 1.5M TL, emphasizing applied research in automotive and consumer electronics. Labs & Infrastructure: He directs the Vibrations Laboratory at Boğaziçi University, equipped with advanced instrumentation for structural dynamics and acoustics testing. The lab supports both fundamental and applied research in vibration isolation and metamaterials.

Francesco IachelloView profile

Professor

• Nuclear physics
• Nuclear structure
• Group theory
• +5 more

Francesco Iachello is the J.W. Gibbs Professor of Physics at Yale University, a position he has held since 1990. He is a distinguished theoretical physicist with a career spanning over five decades, having previously held professorships at Rijksuniversiteit Groningen in the Netherlands and Politecnico di Torino in Italy. He is a Foreign Member of the Academy of Europe (elected 2013) and holds memberships in numerous prestigious scientific societies. His educational background includes: Dott. Ing. Nucl. (Nuclear Engineering) from Politecnico di Torino (1964) Ph.D. in Theoretical Physics from Massachusetts Institute of Technology (1969) Iachello is renowned for his groundbreaking work in nuclear physics, particularly in developing algebraic models for complex quantum systems. His research primarily focuses on nuclear structure, dynamical symmetries, and phase transitions in nuclei. He pioneered the Interacting Boson Model, which has become a fundamental framework in nuclear structure physics and has been extended to molecular physics and other areas of quantum many-body systems. His work connects group theory with physical phenomena, providing powerful mathematical tools for understanding complex quantum systems. His publication record is exceptional, with over 310 original papers in high-impact journals, accumulating more than 16,000 citations and an h-index of 56. His research shows a clear trajectory from fundamental nuclear structure studies to broader applications of algebraic methods across physics disciplines, with particular emphasis on phase transitions and critical phenomena in quantum systems. His numerous scientific honors include: AKZO Prize (1981) Eugene Wigner Medal (1990) Tom Bonner Prize from the American Physical Society (1993) Lise Meitner Prize from the European Physical Society (2002) Italian National Medal of Science (2007) Enrico Fermi Prize from the Italian Physical Society (2010) Multiple honorary doctorates from universities worldwide Iachello has received significant research support throughout his career, including the Eminent Scientist Award from RIKEN in Tokyo (2000). His work has established entire research directions in theoretical physics, with the Interacting Boson Model and its extensions becoming standard tools in nuclear structure physics. He has mentored numerous students and collaborators who have gone on to make significant contributions in theoretical physics. His research continues to influence new generations of physicists studying quantum many-body systems across multiple disciplines.

Stefan M. WildView profile

Adjunct Professor

• Numerical Optimization
• Machine Learning
• Scientific Computing
• +3 more

Stefan M. Wild serves as Director of the Applied Mathematics and Computational Research (AMCR) Division and Senior Scientist at Lawrence Berkeley National Laboratory, while holding an adjunct faculty position in the Industrial Engineering and Management Sciences (IEMS) department at Northwestern University's McCormick School of Engineering. He also serves as a Senior Fellow at NAISE (Northwestern Initiative for AI and Society). Dr. Wild earned his Ph.D. and M.S. in Operations Research from Cornell University (2009, 2007) and his M.S. and B.S. in Applied Mathematics from the University of Colorado, Boulder (2003, 2002). His academic journey includes an Argonne Director's Postdoctoral Fellowship (2008-2010) and the DOE Computational Science Graduate Fellowship (2005-2008). His research program focuses on developing numerical optimization and automated learning algorithms for challenging science and engineering problems at interfaces involving computer simulations, complex data, and physical experiments. Dr. Wild leads multiple community software projects including BAND, parMOO, libEnsemble, deepHyper, NUCLEI, POptUS, and surmise, with applications spanning nuclear physics, materials science, and astrophysics. His work bridges derivative-free optimization, uncertainty quantification, high-performance computing, and scientific machine learning. Dr. Wild has advised numerous postdocs who have established successful careers at national laboratories and academic institutions. His editorial responsibilities include Mathematical Programming Computation, INFORMS Journal on Computing, Data Science in Science, and SIAM Review. U.S. Department of Energy Early Career Research Award (2020) STS Forum Future Leader (2018) IDC HPC Innovation Excellence Award (2015) SIAM SIGEST Award (2014) Strategic Laboratory Leadership Program (UChicago Booth School) (2013) DOE Computational Science Graduate Fellowship (2005-2008) As AMCR Division Director, he leads a diverse team of applied mathematicians, computational scientists, and software engineers addressing some of the world's most challenging computational problems across scientific and engineering disciplines. His leadership emphasizes both technical excellence and commitment to inclusion, diversity, equity, and accountability in scientific research.

Siu Ah ChinView profile

Professor

• Nuclear Physics
• Quantum Physics
• Computational Physics
• +3 more

Professor Siu Ah Chin is a faculty member in the Department of Physics and Astronomy at Texas A&M University. He holds a B.S. from MIT (1971) and a Ph.D. from Stanford University (1975). His research focuses on nuclear and subnuclear high-density matter, quantum many-body problems, Bose-Einstein condensates, and quantum Monte Carlo algorithms. He joined Texas A&M in 1984 after roles at the University of Illinois, MIT, and as an adjunct assistant professor at UCLA. His work explores topics like rogue wave dynamics on periodic backgrounds, computational methods for quantum systems, and symplectic algorithms. Notably, he is a Fellow of the American Physical Society (2006). His recent publications address nonlinear Schrödinger equation solutions and numerical methods for particle dynamics.

Luming WangView profile

Associate Professor

• Machine Learning
• Information Privacy
• Virtual Reality
• +1 more

Luming Wang is an Associate Professor and F. Ross Johnson Fellow at the Asper School of Business, University of Manitoba. He specializes in Marketing with a focus on Machine Learning, Information Privacy, Virtual Reality, and Consumer Choice Modelling. B.A. and M.A. (Finance) – Nankai University (China) M.A. (Economics) – University of Alberta Ph.D. (Marketing) – University of Alberta His research explores cutting-edge areas such as message framing in privacy disclosure, consumer behavior in virtual environments, and advanced statistical methodologies for market analysis. Notable contributions include work on brand equity measurement using psychometric frameworks and cross-cultural product perception studies. His interdisciplinary approach bridges marketing theory with applications in consumer psychology and data science. Recent publications highlight trends in contextual choice modeling, emotional customer experiences, and causal analysis in market dynamics. Despite no explicitly listed awards, his work reflects impactful contributions to consumer behavior theory and methodological innovation. Wang teaches courses on Marketing Research and pro-social consumer behavior, emphasizing practical applications of theoretical insights. He has advised no formally listed students but maintains active research collaborations within the Asper School of Business and beyond.

David PapoularView profile

Researcher

• Theoretical Physics
• Ultracold Atomic Gases
• Quantum Many-Body Systems
• +4 more

David Papoular is a theoretical physicist and Junior Researcher (Chargé de Recherche) at CNRS, working at the Laboratoire de Physique Théorique et Modélisation (LPTM) at Université de Cergy-Pontoise, France. He previously held a postdoctoral fellowship at the BEC Center, University of Trento, Italy, and completed his PhD in 2011 at Université Paris-Sud under Prof. G.V. Shlyapnikov. He is an alumnus of École Normale Supérieure in Paris and obtained his Habilitation in 2024. 2011–2015: Postdoctoral Fellow, BEC Center, University of Trento 2007–2011: PhD in Theoretical Quantum Physics, LPTMS, Université Paris-Sud 2006–2007: Graduate Studies, École Normale Supérieure 2004–2006: Undergraduate Studies, École Normale Supérieure 2001–2004: Classes Préparatoires, Lycée Louis le Grand Papoular's research focuses on theoretical studies of ultracold atomic gases, including Bose-Einstein condensates and quantum many-body systems. His work explores phenomena such as quantum phase transitions, superfluid dynamics, and transport properties. He has pioneered applications of the Landauer-Büttiker formalism to bosonic systems and developed numerical methods for solving the Gross-Pitaevskii equation. Key areas of investigation include dipolar interactions, Feshbach resonances, and quantum evaporation processes in cold atom systems. His contributions to quantum transport and ultracold systems have led to advancements in understanding quantized conductance and evaporative cooling techniques. Recent work includes studies of quantum scars in particle dynamics and dipolar-induced resonances in quasi-1D systems. PhD with honours (2011) Habilitation (2024) Member of the American Physical Society Supervised students include T. Congy (intern, 2013) and N. Bartolo (PhD, 2012-2013). Teaching roles include assistantships at Université Paris-Sud and Lycée Louis le Grand. Fluent in French, English, Italian, and basic Russian. Active in research communities through participation in major conferences (e.g., BEC2015, ICAP2014) and collaborations with institutions like NIST and Laboratoire Kastler-Brossel.

Jose Antonio Carrillo De La PlataView profile

Professor

• Analysis of Partial Differential Equations
• Mathematical Biology
• Nonlinear Diffusion Equations
• +3 more

Jose Antonio Carrillo De La Plata is a Professor of the Analysis of Nonlinear Partial Differential Equations at the Mathematical Institute, University of Oxford, and a Tutorial Fellow in Applied Mathematics at The Queen’s College. He holds an ERC Advanced Grant and is a SIAM Fellow, IMA Fellow, and member of the European Academy of Sciences. His academic career spans institutions including Imperial College London, Universitat Autònoma de Barcelona, and Universidad de Granada. PhD in Mathematics, University of Granada (1996) His research focuses on partial differential equations (PDEs) with applications to mathematical biology, nonlinear diffusion, hydrodynamic models, kinetic equations, and many-body systems. He has pioneered analysis of nonlocal interaction equations, aggregation-diffusion models, and optimal transport methods. Key publication trends include nonlinear PDEs for complex particle dynamics, pattern formation, synchronization, and biological systems. His work spans theoretical analysis, numerical schemes, and applied modeling. Echegaray Medal (2022) Foreign Member of the Royal Academy of Sciences of Spain (2021) ERC Advanced Grant (2020) Wolfson Research Merit Award (2012-2017) Richard von Mises Prize (2006) SEMA Young Researcher Prize (2003) He has supervised PhD students at Imperial College London (2016 SACA Award) and collaborated on grants including the ERC Advanced Grant. His visiting roles span IPAM, MSRI, and institutions in Singapore, China, France, and the US.

• Condensed Matter Physics
• Computational Physics
• Surface Diffusion
• +3 more

Dr. Andrea Danani is a Researcher at the Faculty of Informatics of the Università della Svizzera italiana (USI) and a Professor at the Scuola Universitaria Professionale della Svizzera Italiana (SUPSI). He holds a Dipl.-Ing in Physics from ETH Zurich (1987) and a Ph.D. from SISSA/ISAS in Trieste (1992). His research focuses on many-electron systems, phase transitions, surface diffusion of adatoms in metals, and numerical simulation methods like Monte Carlo and Molecular Dynamics. He has led projects on polymer nanocomposites and biopharmaceutics/drug delivery systems. At the Swiss National Supercomputing Center (CSCS), he organized student camps in applied informatics (C3-Campus). Since 2000, he has collaborated with SUPSI as a scientist and educator. Education: Dipl.-Ing in Physics, ETH Zurich (1987) Ph.D., SISSA/ISAS Trieste (1992) Research Interests: Dr. Danani’s work spans computational modeling of many-body systems, surface physics, and interdisciplinary applications in materials science and biopharmaceutics. His methods include analytical models and advanced numerical simulations. Recent focus areas include drug delivery systems and polymer nanocomposite behavior. Projects: He has led initiatives in numerical simulation methodologies and their application to polymer nanocomposites and biopharmaceutics. His collaborations include the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI). Labs/Teams: Active within IDSIA USI-SUPSI and SUPSI’s research groups, focusing on computational physics and applied informatics.

Doerte BlumeView profile

Professor

• Cold Atom Physics
• Few-Body Physics
• Quantum Mechanics
• +3 more

Doerte Blume is the George Lynn Cross Professor of Physics at the Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma. Her research focuses on cold atom physics and few-body quantum systems, emphasizing the development of theoretical frameworks to understand quantum correlations and entanglement. She holds a B.S. (1995) and Ph.D. (1998) from Georg-August University. Her work employs analytical/numerical methods, including Monte Carlo simulations and hyperspherical coordinates. Key research areas include polaron-emitter hybrid states, quantum quenches, and the transition from few- to many-body systems. She leads the Blume Research Group within the Center for Quantum Research and Technology, exploring applications of quantum mechanics to quantum computing, secure communication, and precision sensing. Featured publications (2021-2022) address Rabi oscillations in nonlinear photonic systems and ultrafast manipulation of quantum dimers. Awards include the George Lynn Cross Professorship (2025) and APS Fellowship. No formal advisees/students are listed in provided materials.