Find Academic Supervisors

Lucia CarichinoView profile

Assistant Professor

• Mathematical Biology
• Fluid Dynamics
• Numerical Methods
• +5 more

Lucia Carichino is an Assistant Professor in the School of Mathematics and Statistics at Rochester Institute of Technology (RIT). She holds a PhD in Mathematics from Purdue University and a BS/MS in Mathematical Engineering from Politecnico di Milano, Italy. Her research focuses on mathematical and computational models of multiscale biological systems, particularly fluid-structure interaction in biological contexts like ocular blood flow and microswimmers. She emphasizes integrating experimental data with mathematical models to advance medical understanding. Carichino teaches courses such as Differential Equations, Linear Algebra, and oversees undergraduate research projects. In 2023, she received the National Science Foundation LEAPS-MPS award for her work on computational modeling of eye-contact lens interactions. Her research has been published in high-impact journals and presented at conferences. She actively collaborates on projects addressing glaucoma, ocular hemodynamics, and biomedical applications. Education: PhD in Mathematics, Purdue University BS and MS in Mathematical Engineering, Politecnico di Milano, Italy Research interests include fluid dynamics, numerical methods, and mathematical biology. Her work bridges theoretical models with biomedical applications, such as optimizing gene therapy delivery and analyzing ocular physiology under varying environmental conditions (e.g., altitude). She explores topics like sperm motility, computational simulations of biological systems, and the interplay between fluid dynamics and biological structures. Her recent articles highlight advancements in ocular pharmacokinetics, contact lens interactions, and altitude effects on intraocular pressure. These studies underscore her expertise in multiscale modeling and fluid-structure interaction. Carichino also contributes to educational initiatives, fostering a collaborative classroom environment. Notable awards include the NSF LEAPS-MPS award (2023). She advises student research projects and collaborates with colleagues, such as Maki, on interdisciplinary studies. Her work is supported by grants and has led to presentations at ophthalmology and mathematics conferences. Carichino’s lab focuses on computational modeling of biological systems, particularly in ophthalmology and microscale fluid dynamics. Her team develops tools to simulate complex physiological processes, aiding in medical diagnostics and treatment strategies.

• Numerical Modeling
• Computational Simulation
• Materials Science
• +5 more

Assoc Prof Ng Teng Yong is an Associate Professor at the School of Mechanical & Aerospace Engineering (NTU), specializing in numerical modeling and simulation. With a background as Research Manager at A*STAR Institute of High Performance Computing, his work spans materials science, nanotechnology, and aerospace engineering. Current focus on graphene-based desalination membranes Expertise in molecular dynamics simulations Investigates nanoscale fluid mechanics and structural dynamics Recent publications highlight advancements in energy-efficient electrodialysis, smart robotics, and nonlinear vibration analysis. His interdisciplinary approach integrates computational methods with experimental validation in additive manufacturing and soft material mechanics.

Frank L. H. BrownView profile

Professor

• Theoretical Biophysics
• Physical Chemistry
• Statistical Mechanics
• +4 more

Frank L. H. Brown is a Professor at the University of California, Santa Barbara with joint appointments in the Department of Physics and Department of Chemistry and Biochemistry. His research focuses on theoretical and computational approaches to understanding biomembrane dynamics and related biophysical phenomena, situated within the College of Letters and Science. Dr. Brown's research interests span the interface between physical chemistry and biophysics. He employs a variety of theoretical tools including statistical mechanics , hydrodynamics , elasticity theory , and quantum mechanics to study complex biological systems. His work particularly emphasizes the dynamics and structure of biomembranes and the interpretation of various spectroscopy experiments including single molecule fluorescence, neutron spin echo, and flicker spectroscopy. Analysis of his publication record reveals a consistent focus on computational modeling of lipid bilayers, membrane proteins, and related phenomena, with particular emphasis on developing novel theoretical frameworks for understanding membrane behavior across multiple scales. Dr. Brown leads an active research group that includes current members Ehsan Noruzifar (Postdoctoral Researcher) and Sean Cray (Graduate Student). His former group members include numerous successful scientists such as Grace Brannigan, Brian Camley, Lawrence Lin, and Max Watson who completed their graduate studies under his supervision, along with several postdoctoral researchers. His research has been supported by funding that enables theoretical and computational investigations of biomembrane systems. The Brown Research Group operates at the intersection of physics, chemistry, and biology, with facilities connected to the Biomolecular Sciences & Engineering Program and the California NanoSystems Institute (CNSI) at UCSB. Their work combines advanced computational techniques with theoretical physics to address fundamental questions about soft and living matter systems, particularly at biological interfaces.

Seddik M. DjouadiView profile

Professor

• Robust Control
• Distributed Control Systems
• Wireless Communication
• +6 more

Seddik M. Djouadi is a Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He holds a PhD from McGill University (1999), an M.A.Sc. from École Polytechnique (1992), and a B.Sc. from École Nationale Polytechnique (1989). His research focuses on robust control, distributed systems, wireless communication, model reduction, and power networks. He has authored over 100 publications and received awards including recognition as an outstanding reviewer by Automatica (2006-2007, 2003-2004) and the Tibbets Award (1999). Education: PhD in Electrical Engineering, McGill University, 1999 M.A.Sc., École Polytechnique, 1992 B.Sc., École Nationale Polytechnique, 1989 Research Interests: Robust and distributed control Wireless communication systems Model reduction for fluid flows Power network dynamics and renewable integration Biological systems modeling Cyber-physical systems security Awards: Outstanding Reviewer, Automatica (2006-2007, 2003-2004) Best Paper Award, Mediterranean Conference on Intelligent Systems (2008) Ralph E. Powe Junior Faculty Enhancement Award (2005) Tibbets Award (1999) Students and Advising: Djouadi has mentored over 20 graduate students and postdoctoral researchers, including current advisees Yichen Zhang and Ehsan Raoufat. Notable past students include Jin Dong (now at Oak Ridge National Laboratory) and Xiao Ma (Western Digital). Projects: Current research includes distributed control of large power networks, data-driven nonlinear model reduction, and stochastic modeling of wireless systems. Collaborations involve ORNL and TVA on energy systems and cybersecurity.

• Nonequilibrium Statistical Physics
• Soft Matter
• Biological Physics
• +4 more

Ramin Golestanian is a Professor at the University of Oxford since 2010 and has served as Director at the Max Planck Institute for Dynamics and Self-Organization since 2018. He is also an Honorary Professor at the University of Göttingen. His primary affiliation is with the Department of Living Matter Physics at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany. Golestanian obtained his BSc from Sharif University of Technology in Tehran, and his MSc and PhD from the Institute for Advanced Studies in Basic Sciences (IASBS) in Zanjan. His PhD work was conducted under the remote supervision of Mehran Kardar from MIT, followed by a postdoctoral fellowship at the Kavli Institute for Theoretical Physics at UC Santa Barbara. He held academic positions at IASBS and the University of Sheffield before becoming a Full Professor in 2007. Golestanian has a broad research interest in nonequilibrium statistical physics, soft matter, and biological physics. He is particularly distinguished for his pioneering work on active matter, including the development of microscopic swimmers and active colloids. His recent research focuses on non-reciprocal interactions in active matter systems, exploring how breaking action-reaction symmetry leads to novel self-organization phenomena. His work spans theoretical frameworks for understanding living matter from fundamental principles, with applications ranging from synthetic biology to understanding the origin of life. Golestanian is an elected Fellow of the American Physical Society and the Institute of Physics. His major awards include the Holweck Medal of the Société Française de Physique and the Institute of Physics, the EPJE Pierre-Gilles de Gennes Lecture Prize, the Martin Gutzwiller Fellowship of the MPI-PKS, the Nakamura Lecturer Award of UCSB, and the 50th-Anniversary Most Distinguished Alumni Award of Sharif University of Technology. As Director of the Max Planck Institute for Dynamics and Self-Organization, Golestanian leads research initiatives exploring the fundamental principles of self-organization in complex systems. His department, the Department of Living Matter Physics, investigates how physical principles govern living systems. He has delivered numerous invited lectures at prestigious institutions worldwide, including Cambridge University, Oxford University, and the Kavli Institute for Theoretical Physics.

Alex BlumenthalView profile

Assistant Professor

• Dynamical Systems
• Smooth Ergodic Theory
• Chaos Theory
• +3 more

Alex Blumenthal is an Assistant Professor in the School of Mathematics at the Georgia Institute of Technology since Fall 2020. His academic background includes a Ph.D. from New York University (2016) with a dissertation titled 'Nonuniformly hyperbolic theory for Banach space mappings.' Prior to joining Georgia Tech, he held positions as an instructor at the University of Maryland, teaching courses in probability theory, linear algebra, and precalculus, and served as a recitation leader at New York University for courses in chaos theory, differential equations, and analysis. Blumenthal's research focuses on dynamical systems and ergodic theory, with specialization in: Chaotic behavior in deterministic and stochastic systems Smooth ergodic theory and SRB measures Lyapunov exponents in random dynamical systems Stochastic fluid mechanics and turbulence modeling Infinite-dimensional dynamical systems on Banach spaces Statistical properties of complex systems His work bridges abstract mathematical theory with physical applications like fluid dynamics and statistical mechanics. Analysis of his recent publications shows strong emphasis on stochastic dynamics, Lyapunov exponents, and fluid mechanical systems, with mathematical techniques drawn from ergodic theory, functional analysis, and probability theory. His publications frequently appear in top mathematical physics and dynamics journals. No scientific awards or honors are mentioned in the source materials. Similarly, no information is available regarding research grants, student advising, or laboratory affiliations.

• Multiscale Modeling
• Multiphysics Modeling
• Biophysics
• +7 more

Dr. Igor V. Pivkin is a Full Professor at the Institute of Computing within the Faculty of Informatics at the Università della Svizzera italiana (USI) in Lugano, Switzerland. His academic journey includes degrees from Novosibirsk State University (B.Sc./M.Sc. Mathematics), Brown University (M.Sc. Computer Science and Ph.D. Applied Mathematics), and postdoctoral research at MIT's Department of Materials Science and Engineering. His research focuses on multiscale/multiphysics modeling , numerical methods , and large-scale simulations of biological and physical systems. Key areas include biophysics, cellular/molecular biomechanics, stochastic modeling, and coarse-grained molecular simulations. He leverages high-performance computing (HPC) and particle-based methods to address complex biological phenomena. His work spans diverse applications, from understanding cellular mechanosensitivity and biofilm engineering to modeling cancer cell behavior and red blood cell dynamics in the spleen. His contributions bridge computational science, biotechnology, and biomedical research. He has published extensively in top-tier journals, with recent work advancing automated biofilm analysis, deep learning for microbial classification, and systems biology approaches to metal bioleaching. His lab collaborates on interdisciplinary projects, emphasizing computational innovation for real-world biological challenges.

James Herbert-ReadView profile

Associate Professor

• Behavioural Ecology
• Marine Biology
• Collective Animal Behaviour
• +4 more

Dr James Herbert-Read is an Associate Professor and Whitten Lecturer in Marine Biology at the Department of Zoology, University of Cambridge. He serves as Deputy Head of Department (Postgraduate Education) and leads the Marine Behavioural Ecology Group. His research focuses on understanding how animals, particularly marine organisms, collect and process information from their environments to make behavioral decisions, with emphasis on social interactions, adaptation mechanisms, and ecological constraints. His group employs theoretical frameworks, controlled experiments, and quantitative field studies to investigate behavioral diversity in marine species. Key themes include collective behavior, predator-prey dynamics, camouflage strategies, and the impacts of environmental stressors on animal decision-making. Recent publications highlight work on lionfish vocalization mechanisms, cuttlefish camouflage, citizen science applications in marine research, and behavioral responses to visual and acoustic noise. Scientific awards and affiliations include: Whitten Lecturer in Marine Biology Associate Professor, University of Cambridge He has supervised research projects on topics such as: Social attraction in invasive fish species Evolution of coordinated movement Neurophysiological basis for leadership in shoals Maternal effects on offspring exploration

John C. DoyleView profile

Professor

• Control Theory
• Dynamical Systems
• Network Science
• +4 more

John C. Doyle is the Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and BioEngineering at the California Institute of Technology (Caltech), where he holds appointments in the Division of Engineering and Applied Science with primary affiliation in the Control and Dynamical Systems Department. His research bridges theoretical foundations with applications across biological, technological, medical, and ecological networks. He earned a BS and MS in Electrical Engineering from MIT (1977) and a PhD in Mathematics from UC Berkeley (1984), followed by consultancy at Honeywell Systems and Research Center (1976-1990). MIT: BS & MS in Electrical Engineering (1977) UC Berkeley: PhD in Mathematics (1984) Doyle's research centers on universal laws and architectures in complex systems, emphasizing robustness-efficiency tradeoffs, speed-accuracy tradeoffs (SATs), diversity-enabled sweet spots (DeSS), bowtie/hourglass structures, and evolvability. His work pioneers System Level Synthesis (SLS) for control systems with sparse, local, saturating, delayed, noisy, quantized, and distributed (SLSDNQD) components, integrating control theory, computation, communication, and machine learning to address challenges from neural networks to infrastructure resilience. Key concepts include virtualization, horizontal transfer, and virality in multiscale systems. Analysis of his publication trends reveals consistent interdisciplinary impact across neuroscience (brain connectivity modeling), systems biology (metabolic oscillations), network science (internet topology), and physics (turbulence, earthquakes), with recurring themes of robust-efficiency limits and architectural principles governing complex networks. His work demonstrates exceptional translation from abstract theory to practical tools like the Matlab Robust Control Toolbox and Systems Biology Markup Language (SBML). His scientific recognition includes: 1990 IEEE Baker Prize (ranked among top 10 most important mathematics papers 1981-1993) Three IEEE Automatic Control Transactions Awards (1998, 1999, 2021) ACM Sigcomm Paper Prize (2004) and Test of Time Award (2016) IEEE Control Systems Field Award (2004) Multiple early-career honors including IEEE Centennial Outstanding Young Engineer (1984) Doyle has mentored generations of students whose contributions include foundational software tools adopted globally. His research has secured sustained funding from NSF, NIH, and other agencies supporting theoretical advances in control frameworks and their applications to biomedical systems, network infrastructure, and environmental modeling. The SBML initiative exemplifies his group's impact in standardizing computational biology research. He leads a highly collaborative research ecosystem at Caltech that integrates engineers, biologists, neuroscientists, and computer scientists to develop universal principles for complex networks. Current efforts focus on translating theoretical insights into health technologies, resilient infrastructure, and climate-responsive systems through the application of robust-efficiency frameworks to emerging challenges in cyber-physical and biological domains.

Steven A. CorcelliView profile

Professor

• Theoretical Chemistry
• Computational Molecular Science
• Biomolecular Binding
• +5 more

Steven A. Corcelli is a Professor and Interim Dean of the College of Science at the University of Notre Dame, with a research focus on Theoretical Chemistry and Molecular Dynamics Simulations . His work bridges Physical Chemistry and Biochemistry , targeting Energy Applications and Biomolecular Binding Mechanisms . He leads the Computational Molecular Science & Engineering Laboratory (CoMSEL). Ph.D., Chemistry, Yale University (2001) Sc.B., Chemistry, Brown University (1997) Research interests span ionic liquids for Carbon Capture , aqueous electrolytes in battery technologies , and molecular binding processes in immunology and DNA interactions . His group employs GPU-accelerated simulations and weighted ensemble methods to uncover structural and dynamic motifs. Recent publications highlight trends in vibrational spectroscopy , TCR-MHC binding , and CO2 solvation mechanisms . Awards include the Thomas P. Madden Award (2020) , ACS Fellowship (2016) , and NSF CAREER Award (2009) . Staff: Erin Brossard (Ph.D.), Nell Karpinski, Shuang Wu, Noah Vasconez, Kaitlyn Handy, Isabel Thompson

Thomas Yizhao HouView profile

Professor

• Multiscale Analysis
• Computational Mathematics
• Fluid Dynamics
• +7 more

Thomas Yizhao Hou is the Charles Lee Powell Professor of Applied and Computational Mathematics at the California Institute of Technology, where he has served as a faculty member since 1998 and as Executive Officer of Applied and Computational Mathematics from 2000-2006. His research spans fundamental mathematical problems with significant implications for fluid dynamics and computational science. Hou received his B.S. in Mathematics from South China University of Technology in 1982, followed by an M.S. in 1985 and Ph.D. in 1987 from UCLA under the supervision of Prof. Bjorn Engquist. His academic journey includes positions at the Courant Institute and the Institute for Advanced Study before joining Caltech. Hou's research focuses on multiscale analysis and computation, interfacial problems, stochastic PDEs and uncertainty quantification, and the Millennium Problem concerning global regularity of 3D incompressible Euler and Navier-Stokes equations. His work on adaptive data analysis has led to significant methodological innovations. His research is characterized by the integration of rigorous mathematical analysis with computational approaches to tackle problems that have resisted traditional methods. His recent publications reveal a consistent focus on singularity formation in fluid equations, particularly the Euler and Navier-Stokes equations, with increasing sophistication in analyzing potential blowup scenarios. His work spans theoretical analysis, numerical verification, and the development of innovative mathematical frameworks for multiscale problems. Member of the National Academy of Sciences (2024) William Benter Prize in Applied Mathematics (2024) SIAM Ralph E. Kleinman Prize (2023) SIAM Outstanding Paper Prize (2018) Fellow of the American Mathematical Society (2012) Fellow of the American Academy of Arts and Sciences (2011) Hou has served in significant editorial roles including Founding Editor-in-Chief of the SIAM Journal on Multiscale Modeling and Simulation and Co-Editor-in-Chief of Research in Mathematical Sciences. His professional service includes membership on the SIAM Council and leadership roles at the Institute of Mathematics and its Applications. His research has been supported by numerous grants focusing on multiscale modeling, fluid dynamics, and computational mathematics.

Jae-Dong ChungView profile

Professor

• Thermal energy storage
• Heat-driven refrigeration
• Heat Transfer
• +6 more

Jae-Dong Chung is a Professor in the Department of Mechanical Engineering at Sejong University, where he has maintained an active research program since March 2001 with 278 total research outputs including 62 SCI(E) papers in the last five years. Education: Ph.D., Seoul National University, 1996 M.S., Seoul National University, 1992 B.S., Seoul National University, 1990 Research Focus: His work centers on thermal energy storage (latent/sensible/thermo-chemical systems) and heat-driven refrigeration (adsorption/desiccant technologies), extending into cutting-edge areas like nanofluid dynamics and fractional-order modeling. Current research integrates advanced computational methods with experimental thermal systems engineering. Publication Trends: Recent 2025 publications reveal concentrated efforts in electric vehicle thermal management (battery cooling optimization, desiccant heat pumps) and nanofluid applications, with significant emphasis on adsorption cooling efficiency and thermal radiation modeling in complex fluid systems. Professional Leadership: He serves as editor for two international journals and holds vice-presidential roles in academic societies (SAREK, KSME, KIPEC). Government advisory positions include MOLIT, City of Seoul, KECO, and KEMCO. Research Facility: The Thermal Engineer Lab (https://thermalengineerlab.wixsite.com/home) drives his experimental and computational research in thermal systems optimization.

Benoît MahaultView profile

Researcher

• Nonequilibrium Statistical Mechanics
• Active Matter
• Living Matter Physics
• +5 more

Benoît Mahault serves as a Group Leader and Researcher at the Max Planck Institute for Dynamics and Self-Organization (Göttingen, Germany) within the Department of Living Matter Physics, where he directs the Motile active matter research group. His work bridges theoretical physics and biological complexity through nonequilibrium statistical mechanics. His academic background includes a Ph.D. from Université Paris-Saclay (2018) under Hugues Chaté, followed by a postdoctoral position at the University of Tokyo in Prof. Masaki Sano's group. He joined the Max Planck Institute in 2019 as a postdoc and was promoted to Group Leader in 2021. Dr. Mahault's research centers on emergent self-organization in active matter systems , with focus areas including: Transition mechanisms to collective motion Bose-Einstein-like condensation via motility inhibition Topological defect dynamics in active nematics Navigation strategies for microswimmers in complex environments His theoretical framework reveals universal principles governing both synthetic and biological active systems. Analysis of his 15 most recent publications (2022–2025) shows a cohesive trajectory exploring nonreciprocal interactions , quorum sensing , and energy-accuracy tradeoffs in active matter. Key themes include phase separation in driven mixtures, defect-mediated pattern formation, and hydrodynamic optimization of microswimmer locomotion—demonstrating consistent innovation at the physics-biology interface. The Motile active matter group employs advanced theoretical modeling to dissect self-organization principles, contributing foundational insights through collaborations with experimental teams at the Max Planck Institute. Current projects investigate non-equilibrium steady states in confined active systems and topological constraints in collective navigation.

Jeffrey GuastoView profile

Associate Professor

• Biophysics
• Soft Matter Physics
• Microscale Fluid Mechanics
• +5 more

Jeffrey Guasto , Associate Professor at Tufts University, holds joint appointments in the School of Engineering (Mechanical Engineering) and School of Arts and Sciences (Physics & Astronomy). His work bridges engineering, physics, and biology to study transport properties in complex systems. Ph.D., Engineering (2009), Brown University Sc.M., Engineering (2004), Brown University Dual B.S. in Physics and Mechanical Engineering (2003), Lehigh University Research Interests focus on: Biophysics : Flagellar mechanics, chemotaxis, cell-fluid interactions Soft Matter : Active suspensions, colloids, viscoelastic materials Microfluidics : Device design for cell motility studies and gradient generation Environmental Transport : Microbial ecology in porous systems Scientific Trends from his 77+ publications show emphasis on microscale fluid dynamics, bacterial transport mechanisms, and viscoelastic flow instabilities. His 2024 Nature Microbiology work reveals phage-infected bacteria driving marine chemotaxis, while 2023 PNAS research explores stress topology in viscoelastic flows. Scientific Awards : NSF CAREER Award (2016) for cell dispersal mechanisms Collaborative NSF grants (2015-2023) Advising includes mentoring 15+ students and postdocs. His grants portfolio features 9+ awards, notably NSF grants for viral-microbe interactions (2018) and flagellar mechanics (2020). Labs & Teams : Leads the Guasto Laboratory at Tufts, integrating microfluidics and high-speed imaging for studying microbial transport, while collaborating with MIT, Harvard, and international institutions.

• Geology
• Petroleum Geology
• Geochemistry
• +3 more

Professor John Parnell is the Chair in Geology & Petroleum Geology at the University of Aberdeen , affiliated with the School of Geosciences and Department of Geology and Petroleum Geology . His research focuses on geochemistry, paleoenvironmental reconstruction, trace element cycling, and sedimentary systems , with significant contributions to studies of the Rhynie Chert, Bowland Shale, and Lewisian Complex. Research Interests Professor Parnell's work spans: Geochemical analysis of Paleoproterozoic and Neoproterozoic systems Trace metal mobility in sedimentary and metamorphic environments Organic carbon burial and its tectonic implications Planetary analog studies for Mars exploration Shale resource characterization and environmental impact assessment Recent Publications His recent articles highlight investigations into: Graphitization processes in Scottish Highlands marbles Sulphur isotope records in Precambrian successions Trace element dynamics in the Bowland Shale Biogeochemical cycling at the Precambrian-Cambrian boundary Labs & Collaborations He leads research in the Geofluids Group and collaborates with the Planetary Sciences Department on Mars analog studies.