Find Academic Supervisors

• Condensed Matter Physics
• Soft Matter
• Polymer Physics
• +5 more

Dr. An-Chang Shi is a Professor of Physics & Astronomy at McMaster University, specializing in condensed matter physics with a focus on soft matter systems. His research spans theoretical modeling of polymeric materials, particularly block copolymers and their self-assembly behavior. Dr. Shi earned his B.Sc. in physics from Fudan University and completed his Ph.D. in physics at the University of Illinois at Urbana-Champaign in 1988. He conducted postdoctoral research at McMaster University from 1988 to 1992 before joining Xerox Research Centre of Canada. In 1999, he returned to McMaster University as an Associate Professor and was promoted to Professor. His research interests center on the development of theoretical models for soft matter systems, with particular emphasis on block copolymer self-assembly , phase behavior of self-assembling macromolecules , and kinetic pathways of transitions between stable and metastable states . His work bridges fundamental theoretical physics with practical applications in nanomaterials design. Analysis of his recent publications (2023-2025) reveals a strong focus on complex phase behavior in block copolymer systems, particularly quasicrystalline structures, Frank-Kasper phases, and the effects of molecular architecture and dispersity on self-assembly. His research increasingly incorporates advanced theoretical approaches to understand and predict nanostructure formation in soft materials. Dr. Shi has received significant recognition for his contributions to the field: Premier's Research Excellent Award (2000) Fellow of American Physical Society (2010) His scholarly activity demonstrates extensive collaboration across the international soft matter research community, with over 135 publications in the last decade. While specific grant information isn't detailed in the provided text, his sustained research output suggests successful funding from major research agencies. Dr. Shi's theoretical work provides fundamental insights for designing novel polymeric materials with tailored nanostructures, contributing significantly to the advancement of soft condensed matter physics and materials science.

Sergei ObukhovView profile

Professor

• Condensed Matter Physics
• Polymer Physics
• Statistical Mechanics
• +5 more

Sergei Obukhov is a Professor of Physics at the University of Florida, affiliated with the Department of Physics within the College of Liberal Arts and Sciences. He holds a PhD from the Landau Institute for Theoretical Physics, USSR Academy of Sciences (1978). His research focuses on condensed matter theory, particularly polymer physics, statistical mechanics, and phase transitions. Key areas include geometry-related phase transitions in polymers, anomalous dynamics, and electrostatic interactions in polymeric systems. Obukhov has held visiting positions at institutions such as ICS (Strasbourg) and ESPCI (Paris), alongside consulting roles for Kodak Research Laboratories. His work spans theoretical and computational studies of polymer melts, polyelectrolytes, and gel electrophoresis of DNA. Notable contributions include pioneering research on anti-Casimir effects in polymer systems and structural analysis via force-extension curves. He has collaborated on international grants, including NSF-funded projects on polymeric systems and US-France cooperative research on DNA separation techniques. His teaching includes courses like PHY 2020 (Principles of Physics) and PHY 6636 (Statistical Mechanics), delivered both on-campus and online. Obukhov's research integrates interdisciplinary approaches from condensed matter physics, biophysics, and materials science, addressing fundamental questions in polymer behavior and phase transitions.

• Physics of Biopolymers
• Directed Assembly of Soft Matter
• Soft Matter in Confinement
• +2 more

Prof. Dr. Arash Nikoubashman is the Head of the Department 'Theory of Biologically Inspired Polymers' at the Leibniz Institute of Polymer Research Dresden (IPF). His research focuses on the physics of (bio)polymers, directed assembly of soft matter, soft matter in confinement, and the development of multiscale methods and machine learning techniques. He holds a dual background in Physics and Computer Science. Education: BSc in Physics, Heinrich Heine University Düsseldorf (2007) MSc in Physics, Heinrich Heine University Düsseldorf (2009) BSc in Computer Science, Heinrich Heine University Düsseldorf (2010) PhD in Physics, Vienna University of Technology (2012) Research Interests: Nikoubashman's work bridges theoretical modeling and computational approaches to study complex polymer systems. Key areas include biomolecular condensates, nanoparticle self-assembly under flow, polymer phase behavior in confinement, and machine learning applications for predicting material properties. His group develops advanced simulation techniques to understand fundamental principles governing soft matter organization. Publications: Recent articles (2024-2025) predominantly explore biomolecular condensates, nanoparticle-polymer composites, and anisotropic soft matter systems. Computational methods like coarse-grained simulations and machine learning are consistently applied to investigate phase transitions, interfacial phenomena, and dynamic processes in confined geometries. Awards and Honors: Emmy Noether Research Group Leader Fellowship (2015-2022) Heisenberg Research Group Leader Fellowship (2022-2023) Editor's Choice award of The Journal of Chemical Physics (2018, 2019) Soft Matter Hot Paper (2015) Leadership: Leads the 'Theory of Biologically Inspired Polymers' department, coordinating fundamental research on polymer physics and mentoring early-career researchers. Maintains collaborations with Princeton University, Keio University, and other global institutions.

Michael CranstonView profile

Professor

• Probability Theory
• Stochastic Processes
• Mathematical Physics
• +3 more

Michael Cranston is a Professor in the Department of Mathematics at the University of California, Irvine. His research focuses on probability theory, stochastic processes, and mathematical physics, with emphasis on stochastic flows, the parabolic Anderson model, and polymer models. He has held academic positions at the University of Rochester and visiting roles at institutions worldwide, including EPFL, Université Paris VI, and the Max Planck Institute. Education: B. Math., University of Minnesota, 1974 Ph.D., University of Minnesota, 1980 Research Interests: Cranston’s work spans stochastic analysis, including dispersion in turbulent flows, Lyapunov exponents in random media, and phase transitions in polymer models. His recent papers address topics like homopolymer self-similarity, quenched-annealed transitions, and large deviation principles in disordered systems. Professional Experience: Professor, UC Irvine (2004–present) Professor, University of Rochester (1992–2004) Visiting Professorships at UCLA, University of Washington, and others Grants & Advising: No specific grants or advisees listed in the provided texts.

Yizhi MengView profile

Associate Professor

• Biomaterials
• Biomedical Engineering
• Materials Science
• +4 more

Dr. Yizhi Meng is an Associate Professor of Practice in the Department of Materials Science and Engineering at Stony Brook University (SBU), where she teaches courses in chemical and molecular engineering, including unit operations, fluid mechanics, and biomaterials. Prior to this role, she held positions as Assistant Professor of Practice (2023-2024) and Lecturer (2019-2023) at SBU. She earned her Ph.D. in Food Engineering from Cornell University (2003), followed by postdoctoral research at Cornell University’s Nanobiotechnology Center and SBU’s Biomedical Engineering department. Her research focuses on biomaterials, particularly nature-inspired bioactive materials for biomedical applications, and high-resolution microscopy techniques to study pathogenic cell motility. Notable awards include the NIH-REACH Proof-of-Concept Award (2016) and multiple SUNY Network of Excellence Awards (2014–2015). Her work spans interdisciplinary areas such as nanomaterials for environmental remediation, targeted drug delivery systems, and osteoblast biomineralization. Dr. Meng’s publications highlight advancements in photocatalytic dye degradation, chitosan-based drug delivery systems, and anti-biofouling polymer surfaces. Her research bridges materials science with biomedical and environmental applications, emphasizing practical solutions for healthcare and sustainability challenges.

• Atomic, Molecular and Laser Physics
• Spectroscopy
• Optoelectronics
• +7 more

Prof. Dr. Emine Tanış is a faculty member at the Faculty of Engineering and Architecture within the Electrical-Electronics Engineering department. Her research focuses on optoelectronic materials , quantum chemical analysis , and molecular structure determination for applications in OLEDs, solar cells, and biomedical contexts. Conducted 16+ scientific research projects as coordinator, director, or executive (2011–2024) Specializes in DFT calculations , solvent effects , and experimental-theoretical correlations Active in photonics , nonlinear optics , and toxicity prediction of organic compounds Publications trend shows emphasis on molecular design for optoelectronics (2015–2024), with recent work on bioavailability and antiproliferative activity of organic molecules. Projects frequently analyze electronic, optical, and vibrational properties of materials like PBDTTT-CT, Reputex 20, and Fluorene-9-bisphenol.

Robert WickhamView profile

Associate Professor

• Theoretical Soft Materials Physics
• Polymeric Materials
• Self-Assembly of Nanostructures
• +4 more

Robert Wickham is an Associate Professor in the Department of Physics at the University of Guelph, where he also serves as Deputy Graduate Coordinator. He holds a PhD from the University of Chicago (1997) and has held positions including Postdoctoral Researcher at the University of Florida, Visiting Scientist at Xerox Research Centre of Canada, and Assistant Professor at St. Francis Xavier University. His research focuses on theoretical soft materials physics, particularly self-assembly in polymeric and biological systems, polymer dynamics modeling, and peptide-cell membrane interactions. Key research interests include nanostructure formation in block copolymers, non-equilibrium statistical mechanics, and biophysical systems like bacterial peptidoglycan networks. His work combines analytical theory and high-performance computation to address complex many-body systems. Notable funding includes NSERC Discovery Grants (2010, 2016) and recognition such as a 2016 Editors’ Choice article in the Journal of Chemical Physics. His publications span topics from polymer phase transitions to bacterial pili mechanics, demonstrating expertise in both computational polymer physics and biophysical modeling. Wickham has advised students like Russell Spencer, whose collaborative work was highlighted in the Journal of Chemical Physics. He also serves on the SHARCNET Resource Allocation Committee, leveraging high-performance computing resources for research.

Michael C. CranstonView profile

Professor

• Probability Theory
• Stochastic Processes
• Mathematical Physics
• +1 more

Michael Cranston is Professor of Mathematics at UC Irvine's Department of Mathematics, specializing in probability theory and stochastic processes. His research bridges mathematical physics and statistical mechanics. Key contributions include developing solvable models for homopolymer behavior near critical points, analyzing Lyapunov exponents in parabolic Anderson models, and studying dispersion in Kolmogorov flows. Recent work explores phase transitions in polymer systems using probabilistic methods. He regularly teaches graduate courses on stochastic processes and maintains active collaborations with researchers in applied mathematics.

Thorsten RaaschView profile

Professor

• Numerical Mathematics
• Adaptive Discretization Methods
• Partial Differential Equations
• +7 more

Thorsten Raasch is a Professor of Numerical Mathematics at the Institute of Mathematics, Johannes Gutenberg University Mainz, Germany. He is affiliated with the Department of Physics, Mathematics, and Computer Science, and leads research in numerical analysis, particularly adaptive methods for PDEs and inverse problems. Research Interests: His work focuses on adaptive discretization methods for partial differential equations and inverse problems, non-smooth numerical optimization , wavelet systems , multilevel frames , and GPGPU computing . These interests are deeply rooted in applied and computational mathematics, with applications in scientific computing and engineering. The most recent articles show a strong trend in developing adaptive wavelet-based numerical schemes for solving inverse and stochastic PDEs, with a particular emphasis on sparsity, convergence analysis, and preconditioning. His publications span high-impact journals in numerical analysis and inverse problems, indicating sustained scholarly activity. Teaching: He has taught a variety of courses including Fundamentals of Numerics, Convex Optimization, Numerical PDEs, Spectral Methods, and advanced seminars on topics like semi-smooth Newton methods and reduced basis methods. Thorsten Raasch earned his doctorate in 2007 from Philipps University of Marburg and has held academic positions at JGU Mainz, the University of Siegen, and the University of Rostock. He was appointed W2 Professor at JGU Mainz in 2015 and previously held a junior professorship there. No scientific awards are mentioned in the provided texts. Advising and Grants: While no students or grants are explicitly listed, his role as a professor and active researcher suggests involvement in supervising graduate students and participating in research projects, possibly within the 'Mathematics of Computation' research network. Labs and Teams: He is part of the Numerical Mathematics Working Group at JGU Mainz and contributes to the 'Mathematics of Computation' research network, indicating collaboration within a structured research environment.

• Bioinformatics
• Molecular Evolution
• Genomics
• +4 more

Brian Golding is a Professor in the Department of Biology at McMaster University . His research focuses on bioinformatics , molecular evolution , and DNA sequence analysis , investigating how evolutionary processes drive molecular, genetic, and genomic changes across organisms. Education : Ph.D. (University of Alberta, 1982), B.Sc. (Dalhousie University, 1976) Recent work includes Yersinia pestis evolution during the Black Death, protein interaction site prediction via sequence analysis, and DNA sequence alignment scoring using embedding vectors. His research integrates computer-based analysis , statistical modeling , and mathematical frameworks to address evolutionary questions. Scientific Impact : Extensive Mendeley readership (up to 518 readers per work) Referenced in Wikipedia (7 instances) Highlighted in news outlets (3927 cumulative mentions) Teaching includes courses in Molecular Evolution , Bioinformatics , and Population Genetics at both undergraduate and graduate levels.

• Electrochemistry
• Materials Science
• Battery Technology
• +3 more

Renaud Bouchet is Professor of Electrochemistry and Materials Science at Grenoble Institute of Technology (Grenoble INP), part of the University of Grenoble Alpes (UGA), since 2012. He teaches in the School of Physics, Electronics and Materials Engineering (PHELMA) and conducts research at the Laboratory of Electrochemistry and Physicochemistry of Materials and Interfaces (LEPMI), a joint unit of CNRS, Grenoble INP, and UGA. His educational background includes: Diploma in Electrochemical Engineering from ENSEEG (1996) PhD in Electrochemistry from Grenoble INP (1999) Habilitation (HDR) from Aix-Marseille University (2006) Bouchet's research centers on charge transport mechanisms in divided materials (nanocomposites, nanostructured systems) for electrochemical storage. He investigates composition-structure-property relationships to design multifunctional polymers and ceramics for batteries, with emphasis on solid-state systems, ionic transport phenomena, and interface engineering. His work bridges fundamental electrochemistry with practical battery applications. Analysis of his 15 most recent publications (2023-2025) reveals intense focus on overcoming solid-state battery limitations. Key themes include polymer-ceramic composite electrolytes, lithium polysulfide transport in sulfur batteries, flash sintering techniques, and interfacial resistance reduction. His research consistently targets enhanced ionic conductivity, mechanical stability, and energy density through innovative material design. His scientific recognition includes: PhD first prize of Grenoble INP (1999) Electrochemistry Prize from the French Chemical Society (2005) EDF Pulse Science and Electricity international prize for Electrochemical Storage work (2014) With 46 publications, 3 book chapters, 3 world patents, and 65 oral communications (including 6 invited talks), Bouchet demonstrates significant research impact. Though specific grant details aren't provided, his patent portfolio and publication record indicate substantial funding for electrochemical storage research. He has likely supervised numerous graduate students, contributing to France's battery research ecosystem. As a core member of LEPMI, Bouchet operates within a premier electrochemical research environment focused on energy storage materials. His work integrates advanced characterization techniques like X-ray tomography with electrochemical analysis, positioning him at the forefront of next-generation battery development.

SonBinh T. NguyenView profile

Professor

• Drug Delivery and Detection
• Metal-Organic Frameworks
• Porous Organic Materials
• +7 more

SonBinh T. Nguyen is a Professor in the Department of Chemistry at Northwestern University's McCormick School of Engineering. His research spans multiple areas of chemical science with a focus on interdisciplinary approaches to solving complex problems in materials science and biomedical applications. He leads an active research group with numerous publications and collaborations across various scientific disciplines. Dr. Nguyen's educational background includes: B.S. from Pennsylvania State University (with Prof. Gregory L. Geoffroy) in 1990 Ph.D. from California Institute of Technology (with Professors Robert H. Grubbs and Nathan S. Lewis) in 1995 Professor Nguyen's research encompasses three main divisions in chemical science: inorganic/organometallic chemistry, organic synthesis, and polymer science. His group is particularly known for work in drug delivery and detection , metal-organic frameworks and porous organic materials , and graphene/graphene oxide research . The group approaches research from a collaborative and interdisciplinary perspective, with current projects focusing on developing vehicles for safe and effective administration of therapeutic agents, creating new disease detection technologies, and engineering novel porous materials with structural and chemical diversity. The publication record of Professor Nguyen's group demonstrates a strong focus on nanomaterials, catalysis, and biomaterials. His recent work shows increasing emphasis on metal-organic frameworks, graphene-based materials, and advanced drug delivery systems. The research spans fundamental chemistry to applied biomedical applications, with many publications appearing in high-impact journals across chemistry, materials science, and nanotechnology. Professor Nguyen has received numerous prestigious awards and honors throughout his career: McCormick Professor of Teaching Excellence (2005) CAURS Award for Outstanding Support of Undergraduate Research (2005) ASG Faculty/Administrator Honor Roll (2005, 2004, and 2003) Dow Research Professor (2004) Weinberg Award for Distinguished Teaching (2003 and 2002) Alfred P. Sloan Research Fellow (2001) National Science Foundation CAREER Award (2000) Presidential Early Career Award for Scientists and Engineers (2000) Union Carbide Innovation Recognition Award (1999) David and Lucille Packard Fellowship for Science and Engineering (1997) Professor Nguyen has mentored numerous graduate and undergraduate students through his research group, which has maintained consistent activity as evidenced by group photos from 2012-2016. His research has been supported by significant grants from major funding agencies, including the National Science Foundation and the Department of Energy. The group's work on ROMP-based polymer nanoparticles, metal-organic frameworks, and graphene oxide materials has led to multiple collaborative projects with other research groups at Northwestern and beyond. The Nguyen Research Group operates with three main subgroups focused on Porous Materials, Graphene/Graphene Oxide, and Biomaterials. The group maintains active collaborations, including with the O'Halloran lab for drug delivery research. Their facilities support synthesis and characterization of advanced materials, with capabilities spanning organic synthesis, polymer chemistry, and nanomaterials characterization.

• Materials Engineering
• Polymer Science
• Environmental Engineering
• +2 more

Rossella Arrigo is an Associate Professor at the Department of Applied Science and Technology (DISAT) of the Polytechnic University of Turin. Specializing in polymer engineering, materials characterization, and sustainable processing technologies, she contributes to projects aligned with SDGs 9, 12, and 13, focusing on industrial innovation and climate action. Scientific interests: Materials Engineering, Polymer Processing, Environmental Engineering Key skills: ERC sectors PE11_8 (Alternative Materials), PE11_5 (Composites), PE8_11 (Environmental Engineering) Her recent research explores reactive recycling routes for r-polymers, 3D printing of multifunctional polypropylene composites, and flame-retardant coatings. She serves on the editorial board of Polymers and as Fellow of the Italian Association of Macromolecular Science and Technology (AIM) since 2018. Scientific awards include the 2024 Polymers Best Paper Award, 2019 Polymers Outstanding Reviewer Award, and the 2018 SAPA Group 'Angelo Affinita' PhD Thesis Award. She supervises PhD candidates Chiara Gnoffo, Giulia Bernagozzi, and Fulvia Cravero.

Poornima PadmanabhanView profile

Associate Professor

• Soft Matter Physics
• Polymer Science
• Colloid Science
• +4 more

Dr. Poornima Padmanabhan serves as Associate Professor in the Department of Chemical Engineering at Rochester Institute of Technology's Kate Gleason College of Engineering, with additional faculty appointment in the School of Mathematics and Statistics. Her academic credentials include: B.Tech. in Chemical Engineering from Indian Institute of Technology, Madras (India) Ph.D. from Cornell University Research centers on computational thermodynamics of soft materials, particularly polymer-colloid systems where her group develops rational design approaches to manipulate hierarchical structures through self-assembly. Key investigations address chirality amplification mechanisms, thermodynamic frustration in block copolymers, and non-equilibrium phase separation phenomena using molecular simulations and statistical mechanics frameworks. This work bridges fundamental physics with materials engineering applications. Recent publications (2017-2023) reveal consistent methodological focus on computational soft matter physics, with evolving emphasis from colloidal gel mechanics toward chiral polymer systems. Articles demonstrate strong disciplinary integration across polymer science, statistical thermodynamics, and rheology, increasingly incorporating chirality as a design parameter for next-generation materials. Major recognitions include: NSF CAREER Award (2022) for "Chirality and polymer thermodynamics: frustration and amplification" supporting both materials research and spatial cognition pedagogy ACS PMSE Early Investigator Award (2024) recognizing outstanding contributions to polymer materials science Her grant portfolio features the NSF CAREER award enabling dual-track research on chiral self-assembly and engineering education innovation. She actively mentors undergraduate and graduate students through the Poornima Research Group while leading STEM outreach initiatives to increase women's participation in engineering fields. The Poornima Research Group employs advanced computational techniques to investigate fundamental soft matter problems, currently focusing on chirality-driven self-assembly in polymers and colloidal systems, with applications spanning biomaterials design and nanofabrication.

• Statistical Mechanics of Macromolecules
• Condensed Matter
• Equation of State
• +3 more

Dora Izzo serves as an Associate Professor in the Department of Mathematical Physics at the Institute of Physics, Federal University of Rio de Janeiro (UFRJ). Her academic foundation includes a PhD in Physics from the Massachusetts Institute of Technology (1990), establishing her expertise in theoretical condensed matter physics. Education: PhD in Physics, Massachusetts Institute of Technology, 1990 Research Focus: Dr. Izzo specializes in the statistical mechanics of macromolecules , investigating thermodynamic behaviors across nonpolar systems (governed by entropic/short-range interactions) and polar systems (requiring long-range electrostatic analysis). Her methodologies integrate equations of state , mean-field approximations , and scaling theories to model phenomena like homopolymer solubilization, block copolymer micellization, and polyelectrolyte rheology. This work bridges theoretical frameworks with experimental observations in macromolecular thermodynamics. Publication Trends: Her recent research examines solubilization mechanisms in diblock copolymer systems and anomalous viscosity in polyelectrolyte chains. These studies reveal consistent emphasis on phase behavior and flow properties of macromolecular solutions, with applications spanning industrial processes like paint formulation and polymer material design. Professional Engagement: Based in Room A-319/7 at UFRJ's Institute of Physics, she maintains active roles in research and teaching while contributing to Brazil's academic physics community through institutional channels like LATTES CV and Vitae platforms.