جستجوی استاد راهنمای دانشگاهی

Skirmantas Janusonisمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Molecular, Cellular & Circuit Mechanisms
• Dynamical Neuroscience
• +۱۲ مورد دیگر

Skirmantas Janusonis is an Associate Professor in the Department of Psychological and Brain Sciences at the University of California, Santa Barbara (UCSB). He is a core faculty member of the UCSB Neuroscience Research Institute and the Interdepartmental Graduate Program in Dynamical Neuroscience, and a member of the California NanoSystems Institute. His research program lies at the intersection of neuroscience, complex systems, and computational modeling. Education: Ph.D. in Neuroscience and Behavior, University of Massachusetts Amherst Postdoctoral Research, Department of Neuroscience, Yale University School of Medicine B.S./M.S. in Biology, Vilnius University, Lithuania Dr. Janusonis's research focuses on the stochastic (random walk-like) behavior of serotonergic axons in the brain, particularly within the ascending reticular activating system and the broader serotonergic matrix. His work integrates molecular neurobiology, comparative neuroanatomy (from sharks to rodents to humans), advanced microscopy, and supercomputing simulations. He investigates how these complex systems self-organize and their relevance to mental disorders, especially autism and the enigma of platelet hyperserotonemia. His lab collaborates with physicists, mathematicians, and engineers to model anomalous diffusion and fractional Brownian motion in 3D brain spaces. His recent publications reveal a strong trend toward computational and theoretical neuroscience, using high-resolution data and mathematical generalizations to model axonal distributions. Key themes include reflected fractional Brownian motion, self-organization of serotonergic densities, and the interface between central and peripheral serotonin systems. His work challenges traditional views of the blood-brain barrier and proposes interdisciplinary solutions involving immunology, physiology, and computer science. Scientific Awards and Recognition: Elected to the Board of Directors of the Organization for Computational Neurosciences (2024) NSF, NIMH, and California NanoSystems Institute grant funding Multiple student awards under his mentorship, including the Harry J. Carlisle Award and NIH IRTA NSF CRCNS and Frontera supercomputing grants UCSB Art of Science People's Choice Award (awarded to lab member) Dr. Janusonis actively mentors PhD students such as Justin Haiman and Dahyana Arroyo, and has advised alumni including Dr. Angela Chen, Dr. Kasie Mays, and Dr. Melissa Hingorani. His lab has received numerous grants from the NSF and NIH, supporting research on stochastic axon systems and super-resolution imaging. He teaches graduate and undergraduate courses including Neuroanatomy (Psy 269), Neurobiology of Brain States (Psy 136), and Complex Systems (Psy 113L). Research Team and Collaborations: The Janusonis Lab is an interdisciplinary group combining neuroscience, mathematics, and engineering. It collaborates with institutions such as UC San Diego, the University of Pisa, and MIT. The lab is equipped with advanced imaging tools and has access to Frontera, a leading NSF supercomputer. Outreach includes science nights at local schools and public lectures at the Santa Barbara Museum of Natural History.

Ben Vollmayr-Leeمشاهده پروفایل

دانشیار

• Theoretical Statistical Physics
• Non-equilibrium Statistical Physics
• Coarsening Kinetics
• +۳ مورد دیگر

Ben Vollmayr-Lee is an Associate Professor in the Department of Physics & Astronomy at Bucknell University. His research focuses on theoretical statistical physics, particularly non-equilibrium systems and critical phenomena. Education: Ph.D. in Physics from UC Santa Barbara (1994), with postdoctoral work at the University of Maryland and NIST. His scholarly interests include: Coarsening Kinetics: Universality classes in phase separation dynamics. Reaction-Diffusion Systems: Field-theoretic renormalization group methods for non-equilibrium systems. Ionic Criticality: Interplay of energy and entropy in complex systems. General Statistical Mechanics: Nonintegrable interactions and numerical algorithms. Recent publications highlight trends in nonequilibrium work relations, anomalous dimensions in reaction-diffusion systems, and computational approaches to coarsening. Collaborators include international researchers from institutions such as Virginia Tech, Dalhousie University, and NIST. Students mentored by Vollmayr-Lee include Andy Baish (Bucknell '15), Greg Seyfarth (Colby '13), and Phil Marquis (Bucknell '07), among others.

Cristian Ciobanuمشاهده پروفایل

استاد

• Nanoscale Surface Physics
• Two-Dimensional Materials
• Computational Materials Design
• +۳ مورد دیگر

Cristian Ciobanu serves as Professor in the Department of Mechanical Engineering at Colorado School of Mines, where he has maintained continuous faculty appointment since 2004. His academic journey includes postdoctoral research at Brown University prior to joining Mines, with progressive promotions from Assistant to Associate to full Professor by 2014. Educational background: PhD in Physics, The Ohio State University (2001) MS in Physics, The Ohio State University (1998) BS in Physics, University of Bucharest (1995) His research program integrates computational and experimental approaches to address fundamental challenges in nanoscale surface physics and two-dimensional materials . Specialized expertise includes evolutionary algorithms for atomic structure optimization, development of materials for renewable energy applications, and investigation of self-organized nanostructures on crystal surfaces. Current work emphasizes machine learning applications in high-entropy alloy design and piezoelectric property engineering of layered systems. Publication trends reveal sustained focus on transition metal dichalcogenides, computational materials discovery, and piezoelectric response enhancement through alloying. Recent work increasingly incorporates machine learning for materials design while maintaining strong experimental validation through advanced microscopy and spectroscopy techniques. Key recognitions include: NSF Career Award (2009-2014) Research Excellence Award at Colorado School of Mines (2013) Fellow of the Institute of Physics (elected 2014) Ohio State Presidential Fellowship (2000-2001) Research funding has been secured through competitive mechanisms including the NSF Career Award, supporting his authorship of over 60 technical publications and a coauthored book on atomic structure determination. He actively advises graduate students in computational materials science and nanotechnology research within the Mechanical Engineering department. His scholarly activities are complemented by professional memberships in the Materials Research Society, American Physical Society, and American Vacuum Society. While specific laboratory facilities aren't detailed in source materials, his publication record indicates capabilities in computational modeling, scanning probe microscopy, and thin film characterization relevant to nanoscale materials research.

Sergei Fedotovمشاهده پروفایل

استاد

• Random Walk Theory
• Reaction-Diffusion Systems
• Non-Markovian Processes
• +۳ مورد دیگر

Professor Sergei Fedotov is a Professor of Applied Mathematics in the Department of Mathematics at the University of Manchester. He holds a PhD from Ural Federal University (1986) and has held academic positions in London, Aachen, Wuppertal, and Berlin before joining Manchester in 1998. His research focuses on random walk theory, reaction-transport systems, and anomalous transport phenomena with applications to biophysics, nanotechnology, and cancer biology. His expertise includes non-Markovian models, fractional calculus, and interdisciplinary collaborations in areas such as intracellular transport, nanoparticle dynamics, and DNA repair. Fedotov has led major grants, including EPSRC-funded projects on nanoparticle transport in radiotherapy and FAPESP-UoM collaborations on correlated memory in biological systems. He has supervised PhD students including Anna Gavrilova, Daniel Han, and Helena Stage, and collaborates with institutions globally, such as Universitat Autònoma de Barcelona and The Christie Hospital. Key research themes include stochastic models of subdiffusion/superdiffusion, fractional partial differential equations, and the application of statistical mechanics to biological systems. His work contributes to sustainable development goals through advancements in medical physics and environmental modeling. Recent publications explore heterogeneous transport in C. elegans, stochastic water flow dynamics, and the modeling of radiation-induced DNA damage. Fedotov’s team develops novel frameworks to bridge theoretical mathematics with experimental biology, emphasizing the role of memory effects and non-equilibrium processes. Grants managed include the EPSRC £702k project on improving radiotherapy via nanoparticle transport modeling (2021–2025) and the FAPESP-UoM study on correlated memory in biological systems (2018–2022). His work integrates mathematical rigor with experimental validation, addressing challenges in cellular logistics and disease mechanisms.

Vadim Cheianovمشاهده پروفایل

دانشیار

• Quantum Many-Body Physics
• Condensed Matter Theory
• Ultracold Atomic Systems
• +۶ مورد دیگر

Dr. Vadim Cheianov is an Associate Professor in the Leiden Institute of Physics (LION) within the Faculty of Science at Leiden University. He leads the Cheianov Group, which specializes in theoretical quantum many-body physics with applications in condensed matter and ultracold atomic systems. His research interests span several cutting-edge domains in theoretical physics, including the behavior of mobile quantum impurities in quantum fluids, adiabatic protocols in driven many-body systems, mechanisms of non-ergodicity in quantum systems such as many-body localization and integrability, and the macroscopic manifestations of quantum anomalies like the chiral magnetic effect in condensed matter and cosmological contexts. The recent publications from his group reflect a strong focus on quantum dynamics, topological effects, and fundamental aspects of quantum statistical mechanics. These works integrate concepts from condensed matter, ultracold atoms, quantum field theory, and mathematical physics, often bridging theoretical predictions with potential experimental observations in quantum simulators and solid-state devices. Scientific Awards: NWO Physics Projectruimte Grant (2018) Dr. Cheianov has secured competitive research funding, including the NWO Physics Projectruimte grant awarded in 2018, which supports innovative and high-risk theoretical physics research. While formal advising roles are not detailed in the provided text, his leadership of an active research group implies mentorship of PhD and master’s students. His work contributes significantly to foundational understanding in quantum matter and has implications for quantum technologies and emergent hydrodynamic phenomena in quantum systems. The Cheianov Group operates within the Quantum Matter and Optics division of LION, collaborating with experimental and theoretical physicists to explore non-trivial quantum phenomena in both synthetic and natural quantum materials.

Georg Gottwaldمشاهده پروفایل

استاد

• Dynamical Systems
• Geophysical Fluid Dynamics
• Climate Modeling
• +۵ مورد دیگر

Professor Georg Gottwald is a distinguished academic in the School of Mathematics and Statistics at the University of Sydney, where he has been a faculty member since 2002, progressing from Lecturer to his current position as Professor since 2013. He also holds a Visiting Professor position at the University of Surrey in the UK since 2013. His extensive research career spans dynamical systems theory, geophysical fluid dynamics, and the intersection of machine learning with complex systems. Professor Gottwald's research focuses on dynamical systems theory as an abstract formalism for studying systems evolving in time and space. His work has significant applications across diverse fields including climate modeling, biological systems, and complex networks. He is particularly known for developing methods for model reduction of complex dynamical systems, stochastic modeling approaches, and the application of machine learning techniques to dynamical systems. His research aligns with the Faculty of Science Research Strengths in Understanding the Universe, Fundamental Laws of Nature, Complex Systems, Climate and Environmental Change, Data and Decisions, and National Security. His most recent publications demonstrate a strong trajectory toward integrating machine learning with dynamical systems theory, particularly in developing stable generative models, learning dynamical systems with random feature maps, and combining data assimilation with machine learning for forecasting. His work spans pure mathematical theory to practical applications in climate science, finance, and biological systems, showing remarkable breadth while maintaining deep mathematical rigor. Future Fellowship, 'Stochastic methods in mathematical geophysical fluid dynamics', Australian Research Council, 2010-2014 Australian Research Fellowship, 'Stochastic methods in mathematical geophysical fluid dynamics', Australian Research Council, 2010-2015 (declined) Australian Research Fellowship, 'Geometric methods in geophysical fluid dynamics', Australian Research Council, 2004-2009 Professor Gottwald has successfully supervised numerous PhD and Master's students who have gone on to academic and industry positions worldwide. His current research group includes postdocs and PhD students working on machine learning for dynamical systems, stochastic model reduction, physics-informed machine intelligence, and tensor methods for scientific machine learning. He has secured multiple ARC Discovery Project grants and has been involved in significant international collaborative research projects. He is actively involved with the Sydney Dynamics Group, which he co-founded in 2007, fostering collaboration between the University of Sydney and UNSW. Professor Gottwald maintains strong editorial commitments as Associate Editor for Geophysical and Astrophysical Fluid Dynamics, SIAM Journal of Applied Dynamical Systems, and Journal of Computational Dynamics, and serves on the Editorial Advisory Board for Chaos and the Editorial Board for Physical Review E. His professional activities demonstrate leadership in the dynamical systems community through organizing workshops, seminars, and special journal issues.

• Quantum Chaos
• Quantum Transport
• Magnetic Field Physics
• +۵ مورد دیگر

Joonas Keski-Rahkonen is a researcher active in quantum physics, nanotechnology, and condensed matter physics. He holds a Master of Science in Physics from the University of Oulu and completed his doctoral thesis at Tampere University. His work focuses on quantum chaos, electronic transport in nanostructures, and magnetic field effects. His research has appeared in journals like Physical Review E , Physical Review B , and Computer Physics Communications . Collaborations span topics such as quantum dots, planckian resistivity, and lattice vibrations. Recent articles analyze anomalous diffusion, bouncing-ball scars, and quantum acoustics. He has no explicitly listed scientific awards or grants in the provided text. While details on current affiliations or part-time status are absent, his academic role is inferred from extensive peer-reviewed publications and software development in his field.

• Numerical Analysis
• Partial Differential Equations
• Integral Equations
• +۳ مورد دیگر

Mario Annunziato is a Researcher in Mathematics at the Department of Physics, University of Salerno, since 2004. His work focuses on numerical methods for stochastic processes and optimal control. Institution: University of Salerno Department: Department of Physics Academic Rank: Researcher Research Interests include numerical solutions of PDEs and integral equations for stochastic processes, probability density function optimization, and modeling random phenomena. His work addresses positivity, monotonicity, and conservation in discrete PDFs. Article Trends span stochastic control frameworks, computational finance, biophysics applications, and numerical methods for jump-diffusion processes. Key topics involve Fokker-Planck equations, Hamilton-Jacobi-Bellman formulations, and splitting methods. Advising and Grants include teaching Numerical Analysis until 2013 and securing funding from the University of Salerno's FARB program, INdAM-GNCS, and the European Science Foundation's OPTPDE grants. He participated in the STRIKE Marie Curie ITN network. Labs & Teams : Collaborated with Prof. Alfio Borzì at Würzburg University and contributed to open-source tools like MATLAB Central File Exchange for PDP solvers.

Christopher Janjigianمشاهده پروفایل

استادیار

• Mathematical Physics
• Probability Theory
• Random Walks in Random Environments
• +۳ مورد دیگر

Christopher Janjigian is an Assistant Professor in the Department of Mathematics at Purdue University, specializing in probability theory with a focus on random walks in random environments, KPZ universality class phenomena, and stochastic partial differential equations. He holds a Ph.D. from the University of Wisconsin-Madison (2016) and has held postdoctoral positions at Université Paris Diderot (2016–2017) and the University of Utah (2017–2020). His research explores the infinite volume structure of random walks in random potentials and connections to models like the Kardar-Parisi-Zhang equation. He organizes the Purdue University Probability Seminar and has taught advanced courses including Stochastic Processes, Probability Theory, and Stochastic Calculus. His work bridges theoretical probability with applications in mathematical physics, emphasizing geometric and dynamic properties of stochastic systems. Recent research focuses on geodesic structures in percolation models, Busemann functions, and ergodic properties of directed polymer models. His articles investigate topics like exit point bounds in last-passage percolation and synchronization in the KPZ equation, contributing to the understanding of universal behaviors in stochastic systems.

Anand Yethirajمشاهده پروفایل

استاد

• Soft Matter Physics
• Colloidal Self-Assembly
• Polymer Dynamics
• +۴ مورد دیگر

Anand Yethiraj is a Professor and Canada Research Chair at the University of Guelph, specializing in soft matter physics and colloidal self-assembly. His research focuses on understanding structure, dynamics, and phase behavior in complex systems such as colloids, polymers, and liquid crystals using advanced techniques like fluorescence microscopy and NMR spectroscopy. Education: B.Sc. (Chemistry), St. Xavier's College, Bombay M.Sc., University of Houston Ph.D., Simon Fraser University Research Interests: Self-assembly in soft matter and nanostructures Colloidal phase transitions and external field control Macromolecular crowding effects in biological systems Electrohydrodynamics and microfluidic systems His work bridges fundamental physics with applications in materials science and biophysics. Recent Trends in Publications: Recent studies emphasize tunable colloids, field-responsive materials, and the interplay between confinement and dynamics in crowded environments. Articles often explore experimental techniques like NMR and confocal microscopy to probe structural and kinetic phenomena at microscopic scales. Awards: Canada Research Chair Grants & Advising: No explicit grants listed. Prospective students are encouraged to contact him directly, referencing his publications to align with his research directions. Labs/Teams: Research conducted in University of Guelph labs focused on soft matter and colloidal systems, though specific lab names are not specified in the provided texts.

Anders Henry Nielsenمشاهده پروفایل

پژوهشگر

• Plasma Physics
• Fusion Energy
• Tokamak Devices
• +۷ مورد دیگر

Anders Henry Nielsen is a Senior Scientist in the Department of Physics at the Technical University of Denmark (DTU), specializing in Plasma Physics and Fusion Energy. He is based at DTU’s Fysikvej campus in Kgs. Lyngby, Denmark, and maintains an active research profile with over 350 publications. His work is central to advancing understanding in magnetic confinement fusion, particularly through computational modeling and experimental collaboration with major tokamak facilities worldwide. His research interests lie at the intersection of plasma turbulence, edge physics, and fusion energy. He investigates phenomena such as zonal flows, coherent structures, and transport scaling in tokamak plasmas. His work often involves developing and applying advanced numerical models, including coupling Monte Carlo methods with 2D fluid models like HESEL, to simulate neutral particle behavior and turbulence in the plasma edge. He has contributed to major experimental campaigns on devices such as TCV, ASDEX Upgrade, and EAST, focusing on heating, fueling, and stability. His recent publications highlight trends in computational plasma physics, parametric instabilities, and cross-field transport. These works span disciplines including plasma turbulence, magnetic confinement, and fusion reactor engineering, with subfields like Monte Carlo simulations, electron cyclotron resonance heating, and synthetic diagnostics. His research consistently addresses key challenges for ITER and DEMO, such as power threshold scaling and heat flux management. Anders Henry Nielsen has supervised multiple PhD students, including R. Gerru Miguelañez, G. Avdeeva, J. M. B. Olsen, and J. Madsen, on projects related to zonal flow dynamics, neutral injection, and turbulence modeling. He has received research funding from various sources, including national and international fusion programs, and has been involved in projects funded by research councils and institutional grants. He is affiliated with the Plasma Physics and Fusion Energy section at DTU, where he collaborates closely with leading researchers such as V. Naulin, J. J. Rasmussen, and S. Kragh Nielsen. His team contributes to both theoretical and experimental aspects of fusion science, participating in international collaborations and presenting findings at major conferences. He has organized academic events, such as the Ninth Sino-Danish Autumn School on Fusion Plasma Physics and Technology.

Jeevak Almastمشاهده پروفایل

دانشیار

• Neuroradiology
• Pediatric Neuroimaging
• Stroke Imaging
• +۴ مورد دیگر

Jeevak Almast is an Associate Professor of Radiology in the Department of Imaging Sciences at the University of Rochester Medical Center. A board-certified radiologist with CAQ in Neuroradiology, he specializes in brain, head, neck, and spine imaging, with a focus on pediatric neuroimaging and stroke diagnostics. Education: MBBS from Armed Forces Medical College (India), residencies in India, and multiple fellowships in the U.S. Clinical Expertise: Pediatric neuroimaging, stroke imaging, interventional neuroradiology, and musculoskeletal radiology. Research Focus: Neuroimaging of vascular anomalies, toxic leukoencephalopathy, and stroke mimics. Teaching Awards: Recipient of the Shu-Ren Lin Award for teaching excellence four times (2008-2011). Publications: Over 20 articles in journals like Neurographics , J Neuroimaging , and Radiographics , focusing on pediatric CNS disorders, stroke diagnostics, and drug-related brain changes.

• Fractional Calculus
• Anomalous Diffusion
• Probability Theory
• +۵ مورد دیگر

Mark Meerschaert is a University Distinguished Professor in the Department of Statistics and Probability at Michigan State University. His career spans academia and industry, with teaching appointments at institutions including the University of Michigan, Michigan State University, and the University of Otago. He holds a doctorate in Mathematics from the University of Michigan (1984). His research focuses on fractional calculus, anomalous diffusion, probability models, and applications to environmental science and engineering. Key research areas include stochastic models for fractional calculus, continuous time random walks, and parameter estimation for heavy-tailed distributions. His work extends to medical imaging, fractional PDEs, and groundwater flow modeling. Collaborations involve interdisciplinary teams in computational mathematics, mechanical engineering, and climate science. Recent publications emphasize spectral methods for fractional PDEs, stochastic phase-field modeling, and time series analysis for climate data. His contributions bridge theoretical developments and practical applications in fields like turbulence, contaminant transport, and material science. Professional recognitions include his distinguished professor title at MSU. He advises across multiple disciplines and collaborates internationally on projects funded by grants from agencies like NSF and DOE.

• Stochastic Analysis
• Random Walks
• Percolation Theory
• +۱ مورد دیگر

Sebastian Andres is Professor of Stochastics at TU Braunschweig's Institute of Mathematical Stochastics. His research focuses on random processes in disordered media, including homogenization of random walks, percolation theory, and heat kernel analysis. He holds a habilitation from University of Bonn and previously held positions at University of Cambridge and University of Manchester. Research Themes: Quantitative homogenization, invariance principles for degenerate random walks, and applications to mathematical physics. Teaching: Current courses include Probability Theory and Discrete Financial Mathematics; authored lecture notes on Martingale Theory for Finance.

Thomas Franoschمشاهده پروفایل

استاد

• Transport in crowded and disordered media
• Time-dependent nonlinear response
• Active and non-equilibrium systems
• +۳ مورد دیگر

Prof. Dr. Thomas Franosch is a Full Professor of Theoretical Physics at the Universität Innsbruck, Department of Theoretical Physics. His research focuses on transport phenomena in complex systems, including crowded and disordered media, active matter, non-equilibrium systems, and the glass transition. He leads the Bio and Nano Physics research group and has held academic positions at institutions such as Friedrich-Alexander-Universität Erlangen-Nürnberg and Ludwig-Maximilians Universität München. His career includes a PhD from TU München (1996) and postdoctoral research at Harvard University (1998-2000). He has contributed extensively to understanding dynamics in confined colloidal systems, mode-coupling theories for glass transitions, and active particle dynamics. His work bridges theoretical frameworks with applications in soft matter and biophysics. Research interests emphasize time-dependent nonlinear response, anomalous transport, and the interplay between geometry and dynamics in confined environments. Recent publications explore light-induced caging effects in colloids, Anderson localization in fluctuating media, and stochastic dynamics of active particles. Publications span over two decades, with a focus on theoretical models explaining complex fluid behavior. Notable contributions include studies on confined hard-sphere fluids, Lorentz gas models, and active matter systems. His work frequently employs advanced simulation techniques and mode-coupling theory to analyze non-equilibrium phenomena.