Find Academic Supervisors

• Environmental Geochemistry
• Biogeochemistry
• Contaminant Transport and Remediation
• +3 more

Chongxuan Liu is Chair Professor at the Southern University of Science and Technology (SUSTech) , affiliated with the School of Environmental Science and Engineering and the Department of Environmental Science and Engineering. Previously, he served as Chief Scientist at the U.S. Department of Energy's Pacific Northwest National Laboratory (PNNL) from 2006–2016 and as a part-time scientist there since 2015. His research integrates theoretical, experimental, and simulation approaches to study pollutant kinetics, multi-scale reactive transport, microbial community evolution, and nanomaterials for environmental remediation. Ph.D. in Environmental Engineering, Johns Hopkins University M.S. in Low-Temperature Aqueous Geochemistry, University of Alabama M.E. in Hydrogeochemistry and B.S. in Geology, Zhejiang University Liu’s research focuses on environmental geochemistry and biogeochemistry , particularly the kinetics of contaminant transformation , multi-scale reactive transport theories , and microbial/nanomaterial-based remediation technologies . His work addresses uranium, arsenic, and nitrate contamination in groundwater-sediment systems, employing cybernetic modeling, pore-scale simulations, and watershed-scale hydro-biogeochemical studies. His recent publications (2014–2016) emphasize uranium adsorption mechanisms , nanoparticle transport dynamics , and coupled biogeochemical-hydrological processes . Articles span journals like Environmental Science & Technology , Geochimica et Cosmochimica Acta , and Water Resources Research , reflecting expertise in contaminant transport, microbial remediation, and nanotechnology. Scientific accolades include Fellow of the Geological Society of America (2011) U.S. Department of Energy Outstanding Contribution Award (2004) He has authored over 170 peer-reviewed articles, with an H-index of 51 (8,000+ citations), and served as Associate Editor-in-Chief for ACS Earth and Space Chemistry . His lab at SUSTech trains undergraduate, master’s, and Ph.D. students, with recent publications by Li Qianqian (master’s student) and collaborations across environmental molecular sciences, computational modeling, and nanomaterial synthesis.

Charles E. MitchellView profile

Professor

• Community Ecology of Infectious Disease
• Plant Pathology
• Fungal Microbiome Interactions
• +5 more

Charles E. Mitchell is a Professor in the Department of Biology at the University of North Carolina at Chapel Hill. His research focuses on the community ecology of infectious disease, particularly in plant-pathogen systems within grassland ecosystems. He investigates interactions between fungal pathogens and the leaf microbiome in wild grasses, with a primary focus on tall fescue ( Festuca arundinacea ). Research Themes: Role of microbial mutualists and parasites in disease dynamics Effects of nutrient enrichment on pathogen spread Climate change impacts on seasonal epidemics Host microbiome interactions with fungal pathogens Integrating genomic sequencing and mathematical models Article Trends: Recent publications emphasize nutrient-driven disease amplification, microbial community assembly in plant tissues, interspecific pathogen interactions under climate stressors, and the role of historical contingency in parasite dynamics. His work frequently employs global grassland studies and multiscale experimentation (individual hosts to landscapes). Grants: Research funded by the NSF-NIH-USDA joint program in Ecology and Evolution of Infectious Diseases. Collaborations: Works with experts in fungal biology, theoretical ecology, and evolutionary biology, including partnerships with the Museum of Life and Science in Durham, NC.

Florian De VuystView profile

Professor

• Fluid-Structure Interaction
• Scientific Machine Learning
• Reduced-Order Modeling
• +6 more

Florian De Vuyst is a Full Professor at the Department of Computational Engineering, University of Technology of Compiègne (UTC), where he conducts research at the Biomechanical Bioengineering Laboratory (BMBI UMR 7338). Previously affiliated with the Applied Mathematics Laboratory (LMAC), his work spans Fluid-Structure Interaction (FSI) , Scientific Machine Learning , GPU Computing , and Reduced-Order Modeling (ROM) . His research focuses on multimaterial flows , automotive crash dynamics , and bioengineering applications like microcapsule deformation in Stokes flows. His recent publications highlight machine learning integration with FSI simulations and GPU-accelerated solvers for compressible flows. Collaborations include Renault , Michelin , and ENS Paris-Saclay on projects like tsunami coastal impact modeling (DIGISCOPE EquipEx) and vehicle drag estimation . He has supervised 15+ PhD students, including Azzedine Tiba (non-intrusive ROM) and Vincent Mahy (multimaterial methods). Scientific Awards: Recipient of the Best Applied Paper Award at EGC 2008 Grants & Collaborations: Involved in CNRS Editions' interdisciplinary volume on tsunamis, ERCOFTAC symposia, and industrial partnerships

• Molecular Computer Simulations
• Force Field Development
• Coarse-Grained Modeling
• +7 more

Alexander Lyubartsev is a Professor at the Department of Chemistry in Stockholm University, specializing in Molecular Computer Simulations . His research bridges fundamental physical chemistry with applied computational modeling, focusing on biomembranes, DNA-chromatin structures, inorganic surfaces, and multiscale method development. He teaches courses like Physical Chemistry (15 hp) and Chemical Modeling (7.5 hp) , mentoring students in computational approaches for molecular systems. Education: PhD in Molecular Biophysics (1988), St. Petersburg State University Academic Positions: 1988-1992: Researcher, St. Petersburg State University 1993-2001: Research Associate, Stockholm University 2001-2007: Associate Professor, Stockholm University 2007-present: Professor, Stockholm University His research interests center on developing computational methods for molecular systems. Key areas include: Force Field Development : Slipids for lipids, inorganic surfaces (TiO2, ZnO), zeolite interactions Coarse-Grained Modeling : DNA, nucleosome core particles, and multiscale approaches using inverse Monte Carlo Advanced Sampling : Expanded ensemble techniques, metadynamics for free energy calculations Software Development : MDynamix for molecular dynamics, MagiC for coarse-graining The articles reflect his focus on: Modeling G-quadruplex elasticity under variable ionic conditions (2017) Extending Slipids force field to polyunsaturated lipids (2016) Analyzing polyelectrolyte conformational transitions with Monte Carlo methods (2017) Investigating ion-DNA binding specificity through molecular dynamics (2016) Developing transferable potentials for gas adsorption in zeolites (2016) Studying TiO2 nanoparticle wetting mechanisms via ab initio simulations (2016) His methodological contributions include inverse Monte Carlo coarse-graining, systematic force field optimization, and multiscale approaches for chromatin components. The research directly impacts drug design, nanotoxicity modeling, and materials science applications.

• Arctic Climate Dynamics
• Atmospheric Chemistry
• Aerosol-Cloud-Climate Interactions
• +2 more

Hans-Christen Hansson is a Professor at the Department of Environmental Sciences, Stockholm University. His research focuses on Arctic and regional climate dynamics , with particular emphasis on aerosol-cloud-climate interactions and atmospheric chemistry-environmental impact . Stockholm University, Department of Environmental Sciences Arctic Climate Researcher Aerosol-Cloud-Climate Interactions Specialist His work addresses climate change feedback mechanisms , atmospheric particulate matter , and environmental impacts of pollution reduction . Key projects include Arctic amplification studies , EUCAARI (European Integrated project on Aerosol Cloud Climate and Air Quality interactions), and PEEX (Pan-Eurasian Experiment). Prominent research themes include atmospheric aerosol behavior , land-atmosphere interactions , and measurement/modeling integration across scales from nano to global systems. His publications demonstrate strong focus on climate feedback loops , air quality assessment , and environmental data calibration through projects like NORPAC, BACCI, and PARFORCE.

• Contact Mechanics
• Tribology
• Applied Mechanics
• +7 more

Carmine Putignano is an Associate Professor at the Politecnico di Bari , affiliated with the Department of Mechanics, Mathematics & Management . His research focuses on contact mechanics, tribology, and viscoelasticity, with applications in polymer bearings, hydrogels, and surface engineering. Recent work includes advancements in viscoelastic contact modeling, lubrication of soft materials, and laser-induced surface texturing. These studies address challenges in friction reduction, material durability, and biomedical applications like articular cartilage lubrication. His 15 most recent publications (2023–2025) span topics such as viscohydrodynamic lubrication, micro-indentation techniques, and multi-laboratory benchmarks for surface topography characterization. The research emphasizes numerical simulations, experimental validation, and energy-based methodologies.

Ralph AldredgeView profile

Professor

• Combustion
• Fluid Dynamics
• Bio-Transport
• +3 more

Ralph Aldredge is a Professor in the Department of Mechanical and Aerospace Engineering at the University of California, Davis, and serves as Executive Associate Dean for the College of Engineering, overseeing undergraduate studies and facilities planning. His leadership encompasses enrollment management, academic advising, retention programs, ABET accreditation, and strategic capital projects for engineering facilities. He earned a Bachelor of Science in Mechanical Engineering and French from Carnegie-Mellon University (1985), a Master of Arts in Mechanical and Aerospace Engineering from Princeton University (1988), and a Doctor of Philosophy in the same field from Princeton University (1990). Dr. Aldredge's research focuses on combustion, fluid dynamics, and bio-transport , with dual emphases on bio-fluid dynamics (vascular blood flow) and front propagation in biological tissues (avascular-tumor dynamics) and reacting gases (flame propagation). His work integrates computational modeling to solve complex problems in energy and biomedical systems, including the development of the Level-Set app for flame propagation simulation. Analysis of his recent publications reveals a consistent interdisciplinary trajectory bridging combustion engineering and biomedical applications. Key themes include flame propagation modeling in complex flows, tumor growth dynamics influenced by extracellular matrix components, and optimization of medical devices for drug delivery and cancer treatment. His research demonstrates how fluid dynamics principles can be applied across energy systems and healthcare innovation. No scientific awards were explicitly documented in the source materials. Dr. Aldredge advises graduate students in combustion and bio-fluid dynamics while driving systemic improvements in engineering education. His administrative leadership has shaped holistic-review undergraduate admissions policies adopted system-wide across the University of California, significantly impacting enrollment management and academic support structures. As Associate Dean for Facilities and Capital Planning, he directs strategic development of engineering spaces and resources, ensuring alignment with academic priorities while maintaining safety compliance and operational efficiency for the College of Engineering.

David RichterView profile

Professor

• Computational Fluid Dynamics
• Turbulence Modeling
• Air-Sea Interaction
• +4 more

David Richter is a Professor at the University of Notre Dame in the Department of Civil and Environmental Engineering and Earth Sciences , with a concurrent appointment in the Department of Aerospace and Mechanical Engineering . He serves as the Frank M. Freimann Collegiate Professor of Environmental Fluid Dynamics and leads the Richter Lab , focusing on multiphase turbulent processes in environmental systems. Education: Ph.D. in Mechanical Engineering, Stanford University (2011) M.S. in Mechanical Engineering, Stanford University (2011) B.S. in Mechanical Engineering, University of Massachusetts (2006) Appointments: 2025–Present: Professor, University of Notre Dame 2019–2025: Associate Professor, University of Notre Dame 2013–2019: Assistant Professor, University of Notre Dame 2011–2013: Postdoctoral Fellow, National Center for Atmospheric Research Richter’s research spans computational fluid dynamics , air-sea interactions , and geophysical flow modeling , addressing challenges in hurricane boundary layer dynamics , sediment transport , and cloud microphysics . His work employs direct numerical simulations (DNS) and large-eddy simulations (LES) , integrating physics-informed machine learning for predictive models. Recent projects include storm surge forecasting in Alaska and air-sea flux studies via NSF and ONR grants. Scientific contributions include 101 publications, with recent articles analyzing marine fog microphysics , tropical cyclone intensification , and microplastic transport . His 15 most recent articles (2021–2025) emphasize turbulent flow modeling , particle-laden systems , and environmental impact prediction . Awards: 2025: Frank M. Freimann Collegiate Professor 2021: Outstanding Teacher, University of Notre Dame Engineering Office of Naval Research Young Investigator Award Richter mentors graduate students in atmospheric and oceanic sciences , with lab alumni pursuing academic and industry roles. His collaborative projects extend to institutions like McGill University , University of Chile , and Michigan Tech .

• Materials Science
• Mechanical Engineering
• Solid Mechanics
• +12 more

Laurent Delannay is a Professor at the Catholic University of Louvain and a Research Director at the Institute of Mechanics, Materials and Civil Engineering (iMMC) within the Louvain Polytechnic School (EPL) . His work focuses on materials science and mechanical engineering , particularly in microstructural modeling , strain heterogeneity , and plasticity . Key research areas: Plasticity, Finite Element Modeling, Microstructure Analysis, Residual Stress, Crystal Plasticity Recent publications analyze aluminum films, tungsten deformation, and biomedical materials Affiliated with the Applied Mechanics and Mathematics (MEMA) research unit Email: laurent.delannay@uclouvain.be His work combines experimental data with computational simulations to understand material behavior under stress, thermal shocks, and mechanical processing. Research trends include grain boundary effects , texture evolution , and multiscale modeling . Teaching activities include courses on Mechanics of Materials , General Mechanics , and Durability of Materials . He leads research in the MEMA laboratory and contributes to projects related to nuclear materials and biomedical applications.

Doron LevyView profile

Professor

• Mathematical Biology
• Cancer Dynamics
• Immunology
• +4 more

Doron Levy is a Professor of Mathematics and the current Chair of the Department of Mathematics at the University of Maryland, College Park. He also serves as Director of the Brin Mathematics Research Center and co-director of the NCI-UMD Partnership for Integrative Cancer Research. His academic affiliations include membership in the Maryland BioPhysics Graduate Program and the Applied Mathematics, Statistics, and Scientific Computation (AMSC) Graduate Program. Levy received his Ph.D. in Applied Mathematics from Tel-Aviv University in 1997, following an M.Sc. (summa cum laude) in 1994 and B.Sc. in Mathematics and Physics (cum laude) in 1991. Prior to joining the University of Maryland, he held positions at Stanford University, UC Berkeley, Lawrence Berkeley National Lab, and institutions in Paris including the University of Paris 6 and the Ecole Normale Superieure. As an applied mathematician, Levy focuses on biomedical applications of mathematics, particularly cancer dynamics, drug resistance, immunology, imaging, and cell motility. His research is highly collaborative, working with clinicians, experimentalists, and researchers from medical schools and research centers. His mathematical approaches integrate differential equations, computational modeling, and statistical analysis to address complex biological systems and therapeutic challenges. Levy's publications demonstrate a consistent focus on mathematical oncology and immunology, with recent work examining T cell exhaustion, cancer-immune interactions, tumor evolution, and treatment optimization. His research bridges theoretical mathematics with practical clinical applications, particularly in understanding resistance mechanisms and developing more effective cancer therapies. Fellow of the American Mathematical Society (2024) Fellow of the John Simon Guggenheim Memorial Foundation (2014) Distinguished Scholar-Teacher at University of Maryland (2013) National Science Foundation Career Award (2002) Haim Nessyahu Prize for Best Ph.D. Thesis in Mathematics in Israel (1998) Levy has secured substantial research funding including Simons Foundation grants for mathematical modeling of cancer dynamics (2021-2026), multiple UMD-NCI seed grants, and NSF funding for quantifying propagation of resistance to chemotherapy in cancer (2017-2020). His research group collaborates extensively with the National Cancer Institute and medical researchers, focusing on translating mathematical insights into clinical applications. The Brin Mathematics Research Center under his directorship serves as a hub for interdisciplinary mathematical research with biomedical applications.

Bryan ScotneyView profile

Professor

• Informatics
• Digital Image Processing
• Computer Vision
• +8 more

Professor Bryan Scotney is a faculty member at Ulster University 's School of Computing , holding the title of Professor of Informatics. His research spans over three decades with a focus on digital image processing , computer vision , pattern recognition , and statistical databases , applied to healthcare informatics , biomedical sciences , and telecommunications network management . He has extensive experience in interdisciplinary projects and research management , leading the university's Computer Science Research Institute from 2005 to 2015. Key research areas: data integration , distributed processing , healthcare technologies Major funded projects: EU FP5 , EPSRC NETWORK , India-UK Advanced Technology Centre , ESRC Design for Ageing Well , EU H2020 DESIREE and ASGARD Recent publications include advancements in video anomaly detection , IoT encryption , face recognition , and medical image processing . His work contributes to UN Sustainable Development Goals through AI for healthcare and secure smart environments . Scientific Awards and Recognition : Shortlisted for BCS & Computing UK IT Industry Awards - Security Innovation of the Year Digital Innovation of the Year (Highly Commended) for 5G-Enabled Edge Compute Highly Commended for Emerald Literati Network Awards TM Forum awards for Catalyst Innovation and Use of TM Forum Assets His research emphasizes collaborative projects across academic , government , and commercial sectors, with significant contributions to EU Framework Programmes and UK Research Councils funded initiatives.

Bhabani Shankar MallikView profile

Professor

• Computational Chemistry
• Molecular Dynamics
• Statistical Mechanics
• +8 more

Bhabani Shankar Mallik is a Professor in the Department of Chemistry at the Indian Institute of Technology Hyderabad . His research focuses on Computational Chemistry , Molecular Dynamics , and First Principle Calculations for energy materials and catalysis. He leads the BSM Lab , which utilizes High-Performance Computing (HPC) resources like ParamSeva@IITH (838 TFLOPS, 7500 cores). Research Areas : Structure/Dynamics of Ionic Liquids, Catalysis (Homogeneous/Heterogeneous), Energy Materials, Microkinetic Theory, Machine Learning in Chemistry, Vibrational Spectroscopy His recent publications analyze ionic transport mechanisms in solid-state electrolytes, electrocatalytic processes for nitrogen reduction, and proton transfer dynamics in aqueous systems. He teaches courses like Modern Simulation Methods and Principles of Quantum Chemistry .

Rathinavelan ThenmalarchelviView profile

Professor

• Bacterial Glycobiology
• Transition State Structures of Proteins
• DNA-protein Interaction
• +8 more

Rathinavelan Thenmalarchelvi is a Professor in the Department of BioTechnology at the Indian Institute of Technology Hyderabad. His research spans diverse areas including Bacterial Glycobiology, Transition State Structures of Proteins, DNA-protein Interaction, DNA Structure and Dynamics, Multiscale Modelling, AI/ML, Optics/Photonics/Spectroscopy, Disease/Toxicity Mechanisms, Drug Discovery, Drug Target Validation and Preclinical Testing, and Molecular Virology.

• Biomechanics/Bioengineering
• Biomedical Sciences
• Developmental Biology
• +11 more

Dr. Fei Fang is an Assistant Professor at the Icahn School of Medicine at Mount Sinai, holding dual appointments in the Department of Orthopedics and the Department of Cell, Developmental & Regenerative Biology. BA in Mechanical Engineering, Huaqiao University MS in Mechatronic Engineering, Zhejiang University MS and PhD in Mechanical Engineering, Washington University in St. Louis Her research focuses on musculoskeletal mechanobiology and cell niche interactions, particularly tendon biology and regenerative medicine. Key areas include: Tendon mechanobiology and developmental biology Tissue engineering for musculoskeletal regeneration Stem cell applications in tendon repair Biomechanical analysis of tendon structures Enthesis healing and Hedgehog signaling pathways Single-cell analysis of immune-mesenchymal interactions Dr. Fang's recent publications emphasize multiscale mechanical evaluation of tendons, Hedgehog signaling mechanisms, and translational approaches for tendon-to-bone healing. Her work combines biomechanical engineering with regenerative medicine to address musculoskeletal disorders. She leads the Fang Laboratory for Musculoskeletal Mechanobiology and Cell Niche at Mount Sinai, located in the Annenberg Building (20th Floor, Room 20-72A), advancing novel therapies for tendon, ligament and meniscus regeneration through mechanobiological insights.

• Fluid Engineering
• Computational Fluid Dynamics
• Isogeometric Analysis
• +5 more

Yuto Otoguro is an Associate Professor (non-tenure-track) at Waseda University's Faculty of Science and Engineering, Department of Modern Mechanical Engineering, and also serves as a Researcher at the Institute for Frontier Fluid-Structure Interaction Analysis. He earned his PhD, M.Eng, and B.Eng in Modern Mechanical Engineering from Waseda University in 2018, 2016, and 2014 respectively. His academic career focuses on advanced computational methods for fluid dynamics and structural mechanics. Dr. Otoguro's primary research interests lie in Fluid Engineering, Computational Fluid Dynamics (CFD), and Isogeometric Analysis (IGA). His work centers on developing and applying space-time computational methods with isogeometric discretization for complex flow problems. He has made significant contributions to element length calculation in B-spline and T-spline meshes, stabilization parameters for variational multiscale methods, and general-purpose NURBS mesh generation techniques for complex geometries. His research has important applications in turbomachinery, wind turbine analysis, fluid-structure interaction, and computational aerodynamics. His publication record shows a strong focus on computational methods development, with particular emphasis on isogeometric analysis applications. His work on local-length-scale calculation in complex geometries, hyperelastic shell models, and space-time computational flow analysis represents cutting-edge research in computational mechanics. His papers frequently address challenges in representing complex geometries and handling moving boundaries in fluid flow simulations. Among his scientific achievements, Dr. Otoguro received the JSCES 20th Anniversary Scholarship Award. He has been actively involved in research projects including 'On new developments of Isogeometric Analysis (IGA) for highly accurate and efficient fracture mechanics analysis' funded by the Japan Society for the Promotion of Science, and 'Compressible-flow engine-valve analysis with response motion and contact' as part of the Early-Career Scientists program. As an educator, Dr. Otoguro teaches multiple courses at Waseda University including Fluid Dynamics, Engineering Thermodynamics, Material Mechanics, and Mechanical Engineering Laboratory courses. He has also organized workshops on isogeometric analysis to promote this emerging computational method within Japan's research community. His academic service includes participation in the Team for Advanced Flow Simulation and Modeling (T*AFSM), where he contributes to advancing computational methods for fluid-structure interaction problems.