Find Academic Supervisors

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

Sergei I. Simak is a researcher at Linköping University, affiliated with the Department of Physics, Chemistry and Biology within the Faculty of Science & Engineering, and also associated with Uppsala University's Department of Physics and Astronomy, Materials Theory. His work is centered on theoretical and computational materials physics, particularly in condensed matter systems. His research interests span condensed matter physics , materials theory , ab initio calculations , thermoelectrics , electronic structure , and phase transitions . He applies first-principles methods to study the thermodynamic, electronic, elastic, and thermal properties of novel materials such as perovskites, MAX phases, and transition metals. The recent publication trends show a strong focus on lead-free perovskites , thermochromic materials , antiferromagnetic semiconductors , and high-pressure phase behavior . His work often involves collaboration across institutions and integrates computational modeling with experimental validation, particularly in energy-related materials. Sergei I. Simak has been supported by major research funders including the Swedish Research Council (VR), the Knut and Alice Wallenberg Foundation, and the European Research Council (ERC). He contributes significantly to collaborative projects in functional materials and thermoelectrics. He is involved in the development and application of advanced computational tools such as the Temperature Dependent Effective Potential (TDEP) method for phonon simulations and has contributed to software in open-source journals.

• Physics
• Wave Chaos
• Quantum Chaos
• +3 more

Ulrich Kuhl is a faculty member and teacher-researcher at the Nice Institute of Physics (INPHYNI), Université Côte d'Azur, France. He is actively engaged in research and academic instruction within the domain of physics, particularly in wave and quantum chaos. His research focuses on complex physical systems, including quantum chaos, wave transport in disordered media, and nonlinear dynamics. These areas are central to understanding fundamental phenomena in mesoscopic physics and random matrix theory. No recent publications were listed in the provided text, so no article trends can be analyzed at this time. There are no scientific awards mentioned in the available information. Ulrich Kuhl advises students and may be involved in research grants, though specific names and funding details are not provided. He is likely involved in collaborative academic supervision within INPHYNI. He is affiliated with the Institut de Physique de Nice (INPHYNI), a leading research laboratory focusing on photonics, quantum systems, and complex waves, where he contributes to experimental and theoretical investigations in chaotic systems.

Maria Caterina MannoneView profile

Lecturer

• Mathematical Music Theory
• Category Theory
• Quantum Computing
• +5 more

Maria Caterina Mannone is a Lecturer at the Department of Molecular Sciences and Nanosystems at Ca' Foscari University of Venice. Her academic profile demonstrates a unique interdisciplinary approach bridging mathematics, music, art, and computational sciences. Mannone's research interests span across multiple domains including mathematical music theory, category theory applications in art and science, quantum computing, robotic swarm intelligence, and interdisciplinary connections between mathematics and creative arts. Her work often explores the mathematical structures underlying musical composition, visual arts, and natural phenomena through sophisticated theoretical frameworks. Her recent publications reveal a consistent trend toward interdisciplinary research, particularly in the application of category theory to diverse fields from diabetic kidney disease analysis to quantum-driven robotic systems. Mannone has developed innovative approaches connecting seemingly disparate domains such as quantum physics and vocal theory, mathematical patterns in nature and musical composition, and quantum entanglement principles applied to robotic swarms. Mannone maintains an active publication record with significant contributions across mathematics, music theory, quantum computing, and biomedical applications. Her collaborative work with researchers across different disciplines demonstrates her role as a connector between traditionally separate academic fields.

• Applied Mathematics
• Applied Machine Learning
• Uncertainty Quantification
• +8 more

Quanling Deng is a Lecturer in the School of Computing at the Australian National University (ANU), where he focuses on applied mathematics, computational methods, and machine learning. Previously, he held positions as a Van Vleck Visiting Assistant Professor at the University of Wisconsin-Madison (2020–2022) and a Research Associate at Curtin University (2016–2020). He earned his Ph.D. in Mathematics from the University of Wyoming in 2016 and has conducted visiting research at institutions including INRIA (Paris), AGH University (Krakow), and École des Ponts ParisTech. Education: Ph.D. in Mathematics, University of Wyoming, 2016 Moved to the USA in 2011 to pursue studies in mathematics His research interests span Applied Mathematics (e.g., sea ice dynamics, ocean/atmosphere systems), Computational Mathematics (finite element methods, isogeometric analysis), and Machine Learning (feature interaction, deep neural networks). He also investigates Data Assimilation techniques, including stochastic models and Lagrangian-Eulerian frameworks. Research Trends: His recent work emphasizes multiscale modeling (e.g., sea ice floes), eigenvalue problem solutions using advanced finite element techniques, and explainable machine learning. He explores applications of physics-informed neural networks and parallel computing for high-performance simulations. Grants & Projects: Leading the project "Advancing Numerical Computation for Schrödinger Eigenvalue Problems" (2023) Affiliations: Previously affiliated with Curtin Institute for Computation and Curtin TIGeR. Collaborates internationally on computational mathematics and climate modeling.

James WarwickerView profile

Associate Professor

• Structural Bioinformatics
• Macromolecular Modelling
• Protein Solubility Prediction
• +5 more

James Warwicker is a Reader (equivalent to Associate Professor) in the Division of Molecular and Cellular Function at the University of Manchester's Faculty of Biology, Medicine and Health. He directs the MSc in Bioinformatics and Systems Biology and leads the Warwicker Research Group at the Manchester Institute of Biotechnology. His research focuses on developing theoretical methods to analyze biological molecules using physics and chemistry principles. Warwicker's education includes a Physics degree (1979) and PhD in Biochemistry (1983) from the University of Bristol, followed by postdoctoral work at Yale University (1983-1988). His research interests span structural bioinformatics, macromolecular modelling, protein solubility prediction, enzyme catalysis mechanisms, and pH-dependent protein properties. His group develops computational tools to study charge-charge interactions, protein stability, and molecular recognition in biological systems. His recent publications demonstrate a focus on computational investigation of pH-dependent mechanisms in biological systems, including viral envelopes, ion channels, and protein formulations. Research consistently integrates biophysical modeling with experimental validations. Warwicker currently supervises multiple PhD students and research associates. His group maintains active collaborations with theoretical and experimental teams internationally. Current projects include developing models for predicting pH-dependence in host-pathogen systems and protein solubility prediction tools. Major funding sources include BBSRC, Wellcome Trust, and UKIERI. The Warwicker Lab develops web-based tools for protein analysis, including protein solubility prediction servers and computational resources for studying electrostatic properties. The group is part of the Manchester Institute of Biotechnology's structural biology research community.

Michael GordonView profile

Professor

• Nanomaterials
• Catalysis
• Photocatalysis
• +7 more

Michael J. Gordon is the Warren G. and Katherine S. Schlinger Professor and Chair of Chemical Engineering at the University of California, Santa Barbara (UCSB). His research focuses on nanoscale materials synthesis, scanning probe microscopy (SPM), and energy-related applications, including photocatalysis, plasma-based synthesis, and bio-inspired photonics. He leads the Gordon Group, collaborating with interdisciplinary teams to advance materials science and engineering. Education: PhD in Chemical Engineering (Caltech), MS in Applied Physics (Caltech), MS and BS in Chemical Engineering (Colorado School of Mines). Research Interests : Gordon’s work spans nanomaterials, catalysis, biomolecular systems, and energy technologies. Key areas include protein assembly mechanisms (e.g., reflectin), plasma-driven carbon-neutral energy solutions, and optoelectronic devices. His lab develops novel materials characterization methods, such as tip-enhanced Raman spectroscopy and high-pressure plasma reactors. Publications : Over 150 peer-reviewed articles in top journals like Advanced Materials , ACS Catalysis , and Science . Recent work emphasizes photocatalytic hydrogen production, bio-inspired photonics, and protein-electrochemistry interfaces. Awards : Elected Fellow of the American Vacuum Society, David and Lucile Packard Fellowship, NSF Early Career Award, and multiple teaching accolades. He holds the Inaugural Founder’s Chair in Chemical Engineering at UCSB. Grants & Teams : Principal investigator on grants from NSF, DoE, and industry partnerships. Collaborates with the Solid State Lighting & Energy Electronics Center (SSLEEC) and Institute for Collaborative Biotechnologies (ICB). Labs & Facilities : Active in UCSB’s Nanofabrication Facility, CNSI Confocal Raman Facility, and MRL TEMPO Lab. His group designs custom instruments for nanoscale characterization and plasma synthesis.

Daniel P. ShoemakerView profile

Associate Professor

• Materials Synthesis
• Inorganic Materials Engineering
• Magnetic Materials
• +4 more

Dr. Daniel P. Shoemaker is an Associate Professor and Racheff Faculty Fellow in the Department of Materials Science and Engineering at the University of Illinois at Urbana-Champaign. His research focuses on synthesizing novel inorganic materials and studying their electronic, magnetic, and chemical responses through advanced characterization techniques. Key areas include in situ materials synthesis, nanostructured magnetism, and correlated electron systems. Education: BS (Materials Science & Engineering, UIUC, 2006); PhD (Materials, UCSB, 2010) Postdoctoral work: Argonne National Laboratory (2011–2013) Teaching: Courses include MSE 308, 403, 405, 406, and 489 Research interests span in situ materials synthesis (e.g., metastable compound discovery using advanced spectroscopy), micro/nanostructured magnetism (characterizing magnetic defects and microstructures), and correlated materials (studying disordered systems via neutron/x-ray scattering at national labs). Publications emphasize structural dynamics, topological phases, and quantum material design. Awards include the DOE Early Career Award (2015) and 2024 Campus Advising Excellence Award. Lab activities involve developing DIY educational tools and collaborating with Argonne/Los Alamos National Labs. Active in mentoring over 20 students since 2013.

Johann CorauxView profile

Researcher

• Surface Physics
• 2D Materials
• Condensed Matter Physics
• +5 more

Johann Coraux is a CNRS researcher at Institut Néel, Université Grenoble Alpes, focusing on surface physics, 2D materials (notably transition metal dichalcogenides like CrTe 2 ), and magnetic/structural properties of low-dimensional systems. His work bridges experimental and computational approaches, emphasizing epitaxial growth, scanning tunneling microscopy, and synchrotron-based spectroscopies. Education: PhD in Physics (CEA Grenoble/INAC, 2006), Agrégation in Physics (2002). Awards: Alexander von Humboldt Postdoctoral Fellowship (2007–2008). His research explores epitaxial 2D materials, magnetic frustration in van der Waals systems, strain/defect engineering, and moiré superlattices. Recent publications highlight collaborations on laser patterning of CrTe 2 , gate-tunable graphene qubits, and Cs-mediated decoupling of MoS 2 from substrates. Scientific awards include the Alexander von Humboldt Fellowship. His team, 2D quantum states with tunable interactions (QUAN2M) , investigates hybrid quantum systems and correlated disorder in 2D materials. He supervises PhD students working on topics like MAXenes, graphene superconductivity, and 2D organometallic architectures. His lab contributes to workshops like 2D@Grenoble and maintains UHV instrumentation clusters for epitaxial growth and characterization.

Joshua D. BocarslyView profile

Assistant Professor

• Inorganic Materials
• Energy Applications
• Quantum Materials
• +5 more

Joshua D. Bocarsly is an Assistant Professor in the Department of Chemistry at the University of Houston . He previously held postdoctoral positions at the University of Cambridge (2020–2023) under the mentorship of Clare Grey and Ram Seshadri , and completed his Ph.D. in Materials at UC Santa Barbara (2015–2020) with advisors Stephen Wilson and Ram Seshadri. His research bridges inorganic materials , quantum systems , and energy conversion technologies , focusing on advanced materials for batteries, magnetocalorics, and skyrmion-based applications. Education Ph.D. in Materials, UC Santa Barbara (2020) A.B. in Chemistry, Princeton University (2015) His research interests center on magnetostructural coupling , electrochemical stability , and quantum material design . Using techniques like in situ electrochemistry , NMR spectroscopy , and computational modeling , he explores phenomena such as skyrmion flop transitions , Dzyaloshinskii-Moriya interactions , and polyanionic redox behavior . His work frequently involves collaborations with interdisciplinary teams, including contributions to the open-source datalab platform for experimental data management. Recent publications highlight trends in LiNiO₂ phase transitions , Na-ion cathode superstructures , and LLM-driven materials discovery . His team has advanced understanding of quantum magnetic phases in lacunar spinels and magnetostructural effects in Mn-based systems.

Hee-Sun HanView profile

Assistant Professor

• Molecular and Cellular Neuroscience
• Neural & Genomic Bases of Behavior
• Neural Bases of Disease and Disorders
• +5 more

Dr. Hee-Sun Han is an Assistant Professor of Chemistry at the University of Illinois at Urbana Champaign, where she holds the Mark A. Pytosh Scholar position. She is also a faculty member of the Carl R. Woese Institute for Genomic Biology and the Center for Biophysics and Quantitative Biology. Her research focuses on developing innovative bioanalytical technologies to study complex biological systems, particularly in the areas of neuroscience and virology. Dr. Han received her educational training from prestigious institutions: B.S. in Chemistry, summa cum laude and as Valedictorian, from Seoul National University Ph.D. in Physical Chemistry from Massachusetts Institute of Technology Postdoctoral training in Physics/Applied Physics from Harvard University Dr. Han's research program centers on in situ single cell omics and spatial transcriptomics , with applications in neurobiology and cancer research. Her lab develops cutting-edge multiscale, multimodal imaging platforms and droplet microfluidics-based single-cell sequencing platforms to uncover the molecular and cellular mechanisms driving the ensemble behavior of complex biological systems. The group's work has particular relevance for understanding how different cell types are spatially organized in intact brains and how this organization relates to function in both healthy and diseased states. Her recent publications showcase a strong trend toward developing and applying spatial omics technologies, particularly for neuroscience applications. The research spans from fundamental nanotechnology and microfluidics development to biological applications in brain mapping and viral genomics. There is a clear progression from her earlier work on quantum dot imaging probes to current focus on spatial transcriptomics and single-virus genomics. Dr. Han has received numerous prestigious awards that recognize both her scientific contributions and teaching excellence: Johnson & Johnson WiSTEM2D Scholars Award for Science (2021) Mark A. Pytosh Scholar (2017) Amy L. Devine Award for commitment to student learning (2022) Representative of Korea in Lindau Nobel Laureate Meeting (2006) Valedictorian, Summa Cum Laude, Seoul National University (2006) As an advisor, Dr. Han has successfully mentored numerous graduate students to completion of their PhDs, including Alex, Thomas, Wenyang, and Ryan. Her lab has secured significant grant funding, including an R21 grant from NIH NHGRI for "Integrated experimental and statistical tools for ultra-high-throughput spatial transcriptomics," an NIH Maximizing Investigator's Research Award (~$2M) for a "Chemical Toolbox for Multiscale Integrative Imaging," and funding from CSL Behring for multiplexed biomarker detection in patient blood. The Han lab is known for its collaborative approach, frequently working with neurobiologists for in-depth biological studies. The Han lab operates as a dynamic interdisciplinary team at the intersection of chemistry, engineering, and biomedical science. Located at UIUC, the lab has access to state-of-the-art facilities at the IGB, MRL, MNTL, and Biotechnology Center. Current research focuses on two main areas: Spatial Transcriptomics (using MERFISH platforms for brain and cancer research) and Microfluidics-based Single Virus Genomics (for influenza virology and ecology studies). The lab maintains an active presence at major scientific conferences and has established itself as a leader in spatial omics technology development.

• Targeted Drug Delivery
• Controlled Release Systems
• Nanomedicine
• +7 more

Hyungsoo Choi is a Research Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, affiliated with The Grainger College of Engineering. His research spans nanomedicine, drug delivery systems, and advanced materials science, with particular focus on targeted therapeutic delivery using nano- and micro-scale carriers. Choi holds a Ph.D. in Chemistry from Brown University (1983) and has established himself as a leading researcher in nanotechnology applications for medical treatments. Dr. Choi's research interests encompass targeted delivery and controlled release of therapeutics mediated by nano- and micro-spheres, contrast agents for medical imaging, cell therapy via microencapsulation, nanostructured materials synthesis, sensors and plasmonic metamaterials, metal oxide topological insulators, and hybrid perovskite solar cells. His work bridges photonic technologies with translational biotechnologies, creating innovative solutions for medical challenges. Recent publications demonstrate his continued leadership in developing novel nanoscale delivery systems for applications ranging from diabetes treatment to cancer imaging and stroke therapy. Analysis of his 15 most recent publications reveals a consistent research trajectory focused on nanoscale drug delivery systems, particularly using gelatin and other biocompatible materials. His work spans multiple disciplines including nanomedicine, materials science, and biomedical engineering, with significant contributions to cancer imaging, diabetes treatment, stroke therapy, and agricultural biotechnology. The research demonstrates sophisticated understanding of both material properties and biological applications. UI College of Medicine, Student Award, Britta & Charles Wolfe Awards for Diabetes Research, 2019 National Nanotechnology Initiative (NNI), Winner of EnvisioNano Contest, 2015 Arnold O. Beckman Research Award, 2012 Arnold O. Beckman Research Award, 2006 Dr. Choi has mentored numerous graduate students and postdoctoral researchers, many of whom appear as co-authors on his publications. His research has been supported by significant grants enabling the development of innovative drug delivery platforms. Current projects focus on microcapsules for pancreatic cell transplants to treat type I diabetes, nanoscale drug delivery to the brain, and advanced materials for solar energy applications. His laboratory at the Holonyak Micro and Nanotechnology Laboratory continues to push the boundaries of nanomedicine and advanced materials science.

Sabine SchillingView profile

Lecturer

• Statistics
• Machine Learning
• Numerical Simulations
• +3 more

Dr. Sabine Schilling is a Lecturer at the Lucerne School of Business, part of Lucerne University of Applied Sciences and Arts, affiliated with the Institute of Tourism and Mobility (ITM). She holds a PhD in Theoretical Particle Physics from the University of Zurich and studied physics at the University of Heidelberg. Her research focuses on interdisciplinary applications of statistics , machine learning , and numerical simulations , with particular emphasis on biomedical challenges like intracranial aneurysm analysis. Key areas include: Morphological quantification of vascular structures Hemodynamic modeling of blood flow Genome-wide association studies for neurological disorders Development of computational biology frameworks She maintains active software development contributions, including the R package visStatistics for automated statistical test visualization. Her teaching portfolio includes courses in descriptive statistics.

Dmitry PolyakovView profile

Researcher

• Theoretical Condensed Matter Physics
• Quantum Transport
• Electron Transport in Nanowires
• +5 more

Dmitry Polyakov is a Principal Investigator and Project Leader at the Institute of Nanotechnology, Karlsruhe Institute of Technology (KIT), Germany. He is affiliated with the Research Unit of Theoretical Condensed Matter Physics, where he leads projects focused on electron transport phenomena in low-dimensional quantum systems. His research interests lie in the theoretical investigation of quantum transport, particularly in nanowires and nanotubes, with a strong emphasis on the effects of disorder and electron correlations. These areas are central to advancing nanoscale electronic devices and understanding fundamental quantum behavior in disordered media. The trends in his research, as indicated by his project titles, reflect a consistent focus on theoretical modeling of transport in nanostructures, combining condensed matter theory with nanotechnology applications. This work contributes to the broader fields of quantum materials and nanoelectronics. Currently, no scientific awards have been listed in the provided information. Dmitry Polyakov supervises research projects and leads a research group within the Institute of Nanotechnology at KIT. While specific details about grants or student supervision are not provided, his role as Principal Investigator implies involvement in securing funding and mentoring junior researchers. He is actively involved in the Theoretical Condensed Matter Physics research unit and conducts his work in Room 0-321 at the Institute of Nanotechnology, located at Hermann-von-Helmholtz-Platz 1, Eggenstein-Leopoldshafen.

Gang ZhouView profile

Associate Professor

• Mathematical Physics
• Geometric Analysis
• Non-Equilibrium Statistical Mechanics
• +6 more

Gang Zhou is an Associate Professor at the Department of Mathematics and Statistics, Binghamton University. His work bridges mathematical physics and geometric analysis. Education: Ph.D. from University of Toronto. Research Interests: Mathematical Physics: Non-equilibrium statistical mechanics, quantum measurements, and classical/quantum spin systems. Geometric Analysis: Mean curvature flow, Ricci flow, and singularity analysis. Recent Research Trends: 15 articles (2025–2019) focus on quantum mechanics, nonlinear PDEs, and geometric evolution equations. Topics include quantum jumps, phase transitions, singularity formation in curvature flows, and adiabatic theorems. Collaborations: Co-authored with J. Fröhlich, A. Pizzo, and others in fields like quantum dynamics and geometric PDEs.

Jesus SanchezView profile

Associate Professor

• Sociobehavioral Pharmacy
• Public Health
• Epidemiology
• +5 more

Jesus Sanchez, Ph.D. , is an Associate Professor at the Barry and Judy Silverman College of Pharmacy within Nova Southeastern University. His work bridges Sociobehavioral and Administrative Pharmacy with interdisciplinary research in public health, epidemiology, and health policy. His research interests include: Public health interventions for migrant communities Vaccine efficacy and immune modulation via osteopathic techniques Genetic and thrombotic disease mechanisms HPV vaccination disparities among college students Health economics in oncology (e.g., KRASG12C mutation therapies) The 15 most recent publications highlight his focus on: Public Health : HIV prevention, drug use trends, migrant health disparities Immunology : Vaccine response enhancement through alternative methods Health Economics : Cost analysis of advanced cancers Biomedical Engineering : Stent design and thrombosis prevention Behavioral Science : Acculturation’s impact on healthcare decisions Ecology : Pollinator conservation strategies His work spans clinical studies, computational modeling, and policy analysis, with collaborations across Latin America, the Caribbean, and the U.S.