جست‌وجوی استاد و پژوهشگر

Nivedita Guptaمشاهده پروفایل

استاد

• Fluid Dynamics
• Interfacial Phenomena
• Surfactant Science
• +۵ مورد دیگر

Nivedita Gupta serves as Professor and Chair of Chemical Engineering & Bioengineering at the University of New Hampshire (UNH), where she teaches core courses including CHBE 400 (ChE and BioE Lectures), CHBE 502 (Energy Balances), CHBE 601 (Fluid Mechanics and Unit Ops), CHBE 940 (Advanced Transport Phenomena), and CHBE 999 (Doctoral Research). Her office is located in Kingsbury Hall, Room W313, Durham, NH 03824, and she can be contacted at Nivedita.Gupta@unh.edu. Her academic credentials include: Ph.D. in Chemical Engineering from Pennsylvania State University B.S.E.T. from the Indian Institutes of Technology Dr. Gupta's research centers on fundamental fluid dynamics with emphasis on interfacial phenomena in multiphase systems. She investigates surfactant-laden bubble and drop dynamics, capsule hydrodynamics in confined flows, nanoparticle synthesis in microreactors, and thermocapillary convection in layered fluids. Her work bridges theoretical modeling with experimental validation, addressing challenges in transport phenomena relevant to chemical, biological, and materials engineering applications. Analysis of her 15 most recent publications (2007-2019) reveals consistent focus on multiphase flow mechanics, particularly surfactant effects on deformable interfaces in microscale and macroscale systems. Key trends include computational modeling of drop/bubble motion in confined geometries, synthesis of functional nanomaterials in continuous-flow reactors, and rheological characterization of nanowire suspensions for printable electronics. Her work appears predominantly in high-impact journals like Industrial & Engineering Chemistry Research , Physics of Fluids , and Chemical Engineering Science . No scientific awards were documented in the available sources. As Doctoral Research course instructor (CHBE 999), Dr. Gupta supervises Ph.D. candidates, though specific student names and grant funding details remain unreported in the provided materials. Her leadership as department chair indicates significant administrative responsibilities alongside research and teaching duties.

Sourav Duttaمشاهده پروفایل

پژوهشگر ارشد

• Model Order Reduction
• Computational Fluid Dynamics
• Scientific Machine Learning
• +۴ مورد دیگر

Sourav Dutta is a Research Fellow at the Oden Institute for Computational Engineering & Sciences at the University of Texas at Austin, where he works with Clint Dawson in the Computational Hydraulics Group. Prior to joining UT Austin in October 2022, he was an ORISE postdoctoral fellow at the Coastal & Hydraulics Laboratory of the U.S. Army Engineer Research and Development Center (ERDC) from September 2017 to August 2022. Dr. Dutta's research lies at the intersection of physics-based computational methods and data-driven machine learning techniques for environmental flow problems. His work focuses on developing efficient numerical approximations by combining physical principles with modern machine learning algorithms. His primary research areas include: Model Order Reduction Computational Fluid Dynamics Scientific Machine Learning Uncertainty Quantification Applied Mathematics His publication record reveals a strong trajectory in reduced order modeling for environmental hydrodynamics, particularly for advection-dominated problems that challenge traditional numerical methods. His research has evolved from foundational work on hybrid numerical methods for porous media flows to cutting-edge applications of deep learning and neural ODEs in computational hydraulics. Dr. Dutta has presented his research at major venues including SIAM conferences, Computational Methods in Water Resources meetings, and the HydroML Symposium. In September 2022, he co-organized a minisymposium on Machine Learning and Data-Driven Methods for Forward and Inverse Problems at the SIAM Mathematics of Data Science meeting. His educational background includes a PhD in Mathematics from Texas A&M University (2017), supervised by Dr. Prabir Daripa, and an Integrated BSc & MSc in Mathematics & Computing from the Indian Institute of Technology, Kharagpur (2010). At the Oden Institute, Dr. Dutta is currently working on compound flood simulation capabilities within Adaptive Hydraulics (AdH), reduced order modeling for coastal engineering applications, and physics-based operator learning frameworks for environmental flows. He has also developed pyNIROM, an open-source Python package for non-intrusive reduced order modeling of time-dependent problems.

Florian Dosterمشاهده پروفایل

استاد

• Subsurface Flow Phenomena
• Geological Carbon Storage
• Porous Media Modeling
• +۳ مورد دیگر

Florian Doster is a Professor at Heriot-Watt University, affiliated with the School of Energy, Geoscience, Infrastructure and Society and the Institute for GeoEnergy Engineering. He leads the MuPhi Research Group, focusing on multi-scale modeling of subsurface flow phenomena, particularly in porous media and fractured reservoirs. His work addresses challenges in CO2 storage, hydrocarbon production, and groundwater management. He actively supervises PhD students, including Amanzhol Kubeyev, and collaborates with industry and research councils. Research interests include multi-scale simulation, reactive transport, and AI-driven uncertainty quantification, with applications to geological carbon sequestration and reservoir engineering. His group develops open-source tools, such as the Carbonate Reservoir Group HWU code. Notable projects include regional screening of saline aquifers in Malaysia and fracture mechanics studies. Publications highlight advancements in AI for subsurface modeling, CO2 leakage risk assessment, and pore-scale interactions. Funding sources include industry partnerships and research councils. The MuPhi Group’s activities span geomechanics, fracture network analysis, and environmental sustainability.

• Mathematical Biology
• Computational Modeling
• Biophysics
• +۳ مورد دیگر

Sabine Fischer is a Professor for Supramolecular and Cellular Simulations at the University of Würzburg’s Center for Computational and Theoretical Biology (CCTB). She holds a PhD in Mathematics from the University of Nottingham (2009) and completed postdoctoral research at the University of Cambridge (2009-2011) and the University of Frankfurt (2011-2017). Her work focuses on mathematical modeling and data-driven simulations of biological processes across subcellular, multicellular, and multi-tissue scales. Key research areas include agent-based modeling of parasite collective behavior (e.g., Project 7 of SPP 2332 PoP), cell-cell interactions, and morphological modeling with Blender. Her group develops tools for image analysis and applies methods ranging from classical statistics to machine learning. Education: Diploma in Mathematics, University of Würzburg PhD in Mathematical Biology, University of Nottingham (2009) Professional Experience: Postdoc, University of Cambridge (2009-2011) Postdoc, University of Frankfurt (2011-2017) Development Engineer, h.a.l.m. Elektronik GmbH (2017-2018) Professor, University of Würzburg (since 2018) Her research integrates experimental data with computational models to study processes like mouse blastocyst differentiation, tissue-level organization, and parasitic locomotion. Current projects emphasize agent-based modeling of Trypanosoma collective behavior and the development of open-source tools like VESNA for 3D vessel analysis.

Kenneth Goodsonمشاهده پروفایل

استاد

• Heat Transfer
• Energy Conversion
• Thermal Management
• +۹ مورد دیگر

Kenneth Goodson is the Vice Provost for Graduate Education and Postdoctoral Affairs at Stanford University, holding the title of Davies Family Provostial Professor and courtesy Professor in Materials Science and Engineering. He previously served as Chair and Vice Chair of the Mechanical Engineering Department (2008-2019) and Senior Associate Dean for Research & Faculty Affairs in the School of Engineering. His research focuses on heat transfer and energy conversion, with applications in electric vehicles, data centers, and electronics cooling. Dr. Goodson has mentored over 55 Stanford graduate students, many of whom now hold academic positions at top institutions like MIT and Princeton. His DARPA-funded ICECool Programs developed world-record heat sinks for power conversion. He leads the Stanford VPGE Research Lab and holds 35 patents, co-founding Cooligy (acquired by Emerson). He is a member of the National Academy of Engineering and a Fellow of multiple societies including AAAS, ASME, IEEE, and APS. His awards include the ASME Kraus Medal, IEEE Richard Chu Award, and Sudler Prize for Arts Achievement. Beyond academia, he is a baritone soloist with voice fellowships at Tanglewood Music Festival and married to concert pianist Laura Dahl of Stanford's music faculty. Education: PhD (1993), MS (1991), and BS in Mechanical Engineering (1989) from MIT, with a concurrent BS in Humanities (Phi Beta Kappa). His work spans thermal systems design, nanomaterials, and phase-change technologies, addressing extreme heat flux challenges in electronics and energy systems.

• Fluid Mechanics
• Two-Phase Flows
• Capillary Flows
• +۴ مورد دیگر

Peter Spelt is a Professor in the Department of Mechanical Engineering at École Centrale de Lyon, where he conducts research in the Laboratory of Fluid Mechanics and Acoustics (LMFA - UMR 5509). He leads research in the Turbulence & Instabilities and Complex Fluids and Transfer teams, focusing on advanced numerical simulations of fluid phenomena. His primary research interests include fluid mechanics with emphasis on two-phase flows, capillary flows, wetting dynamics, cavitation phenomena, multi-scale modeling of suspensions, and the effects of surfactants in two-phase systems. His work bridges fundamental fluid dynamics with practical applications in engineering systems. Professor Spelt's recent publications demonstrate a strong focus on numerical methods for simulating complex fluid interfaces, particularly using level-set methods for tracking moving contact lines in three-dimensional flows. His research shows consistent contributions to understanding instabilities in multi-layer flows and the dynamics of bubble suspensions. He currently supervises several PhD students including Aurore Loisy, Zlatko Solomenko, Andrea Titta, and Marion Capuano, and collaborates internationally with researchers from institutions including University of Science and Technology of China, University College Dublin, Xi'an Jiaotong-Liverpool University, Queen Mary University of London, and The University of Edinburgh. Professor Spelt leads ANR-funded projects including ICEWET and SURFBREAK, which focus on advanced numerical simulations of capillary flows and two-phase flows with surfactants. His research group regularly offers laboratory internships for M2 students in these specialized areas of computational fluid dynamics.

Dick K. P. Yueمشاهده پروفایل

استاد

• Wave Hydrodynamics
• Fluid Mechanics
• Offshore Structures
• +۴ مورد دیگر

Professor Dick K. P. Yue is the Philip J. Solondz Professor of Mechanical Engineering at MIT. His research focuses on wave hydrodynamics, fluid mechanics at the air-sea interface, and the dynamics of ships and ocean structures. He holds a B.Sc., M.Sc., and Sc.D. from MIT. Yue has held leadership roles including Associate Dean of Engineering and Director of International Programs in the School of Engineering. He is a member of the U.S. National Academy of Engineering and has received numerous awards including the Gordon Y. Billard Award for service at MIT. His research encompasses surface and internal wave dynamics, turbulence, two-phase flows, and the hydrodynamics of marine organisms. Notable contributions include studies on ship wave breaking, wave energy converters, and fluid-structure interactions. Yue has also pioneered computational methods for simulating complex fluid phenomena, such as the Boundary Data Immersion Method and Eulerian label advection techniques. Awards and honors include the 2020 National Academy of Engineering membership, Georg Weinblum Lectureship, and Skolkovo Chair professorship. His work bridges academic research with practical applications in ocean engineering, renewable energy, and marine robotics. Yue has advised numerous students and collaborates globally, including visiting professorships at Shanghai Jiao Tong University, TU Delft, and the Norwegian University of Science and Technology.

Moussa Tembelyمشاهده پروفایل

استادیار

• Multiphase Flows
• CFD
• Flow in Porous Media
• +۳ مورد دیگر

Moussa Tembely is an Assistant Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on Multiphase Flows, Computational Fluid Dynamics (CFD), Flow in Porous Media, Machine and Deep Learning, Thermal Spray, and Icing phenomena. He supervises graduate students in Mechanical Engineering (MASc and PhD programs). His work integrates advanced computational methods and AI-driven approaches to solve complex problems in fluid dynamics, reservoir engineering, and materials science. Key research interests include predictive modeling of droplet dynamics, enhanced oil recovery (EOR) optimization using machine learning, and the analysis of porous media flow. He leads the Multiphase Thermofluids Learning Lab , which explores interdisciplinary solutions for energy and environmental challenges. Recent studies emphasize data-driven derivation of governing equations and analytical solutions for fluid-structure interactions. Teaching responsibilities include courses such as HEAT TRANSFER I (MECH 352), DYNAMICS (ENGR 243), and FLUID MECHANICS II (MECH 361). His publications span over two decades, showcasing contributions to multiphase flow physics, thermal spray technology, and AI applications in geoscience and engineering.

Thomas Cubaudمشاهده پروفایل

دانشیار

• Microfluidics
• Interfacial Phenomena
• Hydrodynamics
• +۳ مورد دیگر

Dr. Thomas Cubaud is an Associate Professor in the Department of Mechanical Engineering at Stony Brook University, where he has been since 2007. His research focuses on microfluidics, interfacial phenomena, hydrodynamics, and nanotechnologies, with particular emphasis on developing microfluidic systems for diagnostic and manufacturing applications. He holds a Ph.D. from Paris-Sud University/ESPCI (2001), an M.S. (1998), and a B.S. (1997) from Paris-Sud University, France. Education: Ph.D., Paris-Sud University/ESPCI, France (2001) M.S., Paris-Sud University, France (1998) B.S., Paris-Sud University, France (1997) Dr. Cubaud's research explores the manipulation and control of microscale interfaces in complex fluid systems. His work includes studies on droplet dynamics, interfacial tension effects, and multiphase flow instabilities in microfluidic environments. He investigates applications such as controlled emulsification, nanoemulsion dissolution, and high-viscosity fluid behavior in microchannels. His recent publications highlight advancements in understanding viscous fluid thread dynamics, solvent miscibility effects, and interfacial tension-driven phenomena in multiphase systems. He is a recipient of the 2012 Francois Naftali Frenkiel Award for Fluid Mechanics. His work often bridges fluid mechanics with materials science, addressing challenges in nanotechnology and soft matter physics. Dr. Cubaud collaborates with academic and industrial partners to advance microfluidic technologies, emphasizing applications in energy, environmental science, and biomedical engineering. He has contributed to the design of novel microfluidic devices and surface engineering techniques for wettability control.

Xiaoming Zhengمشاهده پروفایل

استاد

• Computational Mathematics
• Fluid Dynamics
• Numerical Partial Differential Equations
• +۴ مورد دیگر

Xiaoming Zheng is a Professor of Mathematics at Central Michigan University (CMU), specializing in computational mathematics and mathematical biology. His research focuses on fluid dynamics, numerical partial differential equations, and biological systems such as tumor growth and angiogenesis. He leads a collaborative NSF-funded project (DMS-2309747) investigating computational methods for incompressible fluids and magnetohydrodynamic turbulence, with implications for weather prediction and plasma physics. Zheng earned his Ph.D. in Applied Mathematics from the University of California, Irvine (2005), and holds M.S. and B.S. degrees in Mathematics from Peking University and Nanjing University, respectively. Research & Grants: Zheng’s work bridges numerical analysis and biological modeling, with contributions to tumor growth dynamics, angiogenesis mechanisms, and fluid-structure interactions. His NSF project (2023–2026) develops novel computational tools for fluid dynamics, promoting interdisciplinary training and community engagement through K-12 outreach. Education: Ph.D., Applied Mathematics, University of California, Irvine (2005) M.S., Computational Mathematics, Peking University (1999) B.S., Mathematics, Nanjing University (1996) Research Interests: Computational Mathematics: Incompressible fluids, Navier-Stokes equations, interface-fitted adaptive mesh methods. Mathematical Biology: Tumor growth modeling, angiogenesis, infectious disease dynamics. Advising & Training: Zheng mentors graduate and undergraduate students in computational and biological mathematics, emphasizing interdisciplinary research. His projects include training underrepresented groups and fostering collaborations with institutions like Notre Dame. Labs & Simulations: His lab produces simulations of tumor growth under Darcy’s Law and Boussinesq equations, visualizing phenomena such as plume formation and temperature redistribution in buoyancy-driven flows.

• Geomechanics
• Granular Materials
• Foundation Engineering
• +۶ مورد دیگر

Prof. Wu, Wei is a Professor and Director at Institute of Geotechnical Engineering , Department of Structural Engineering and Natural Hazards, BOKU University, Vienna, Austria. With over two decades of academic and industry experience, his work bridges geotechnical research and engineering practice. Education: Dr.-Ing. in Geotechnical Engineering (Karlsruhe University, Germany, 1986–1993), MSc in Geotechnical Engineering (Xian University of Technology, China, 1982–1985), Bachelor in Civil Engineering (Wuhan University, China, 1978–1982). Research Interests span geomechanics, granular materials, and computational geotechnical engineering. His expertise includes: Constitutive modeling of soils and granular media Numerical simulation of landslides and debris flows Soil bioengineering and root reinforcement Geo-energy systems and energy storage Advanced computational methods (SPH, DEM, FE) Selected Google Scholar Articles (2025–2024) highlight innovations in hypoplastic models for climate-affected soils, machine learning applications for slope stability, and multiscale simulations of geohazards. His work emphasizes both theoretical advancements (e.g., phase-field fracture models) and practical solutions (e.g., centrifuge testing for tunnel design). Scientific Awards include: Advanced Grant, European Research Council (2024) Gold Medal, Technical University of Brno (2024) Teaching & Supervision covers soil mechanics, tunneling, and advanced geotechnical courses. He has supervised over 30 PhD and 100 MSc theses, mentoring future engineers in numerical methods and geohazard mitigation. Leadership Roles : Editor-in-Chief of Acta Geotechnica , founder of Springer Series in Geomechanics, and Chairman of the Otto Pregl Foundation (€3M endowment). He organized key conferences like the China-Europe Conference on Geotechnical Engineering (2018) and International Symposium on Particle-Based Continuum Methods (2019).

• Civil Engineering
• Computational Fluid Dynamics
• Porous Media Flow
• +۳ مورد دیگر

Dr. Luka Malenica is a dedicated researcher at ETH Zurich's Professorship for Durability of Engineering Materials, focusing on computational modeling of material degradation processes in civil infrastructure. His work bridges theoretical numerical methods with practical engineering applications through direct involvement in the department's research operations. His research program centers on multiphase flow in porous media , corrosion mechanisms in reinforced concrete , and advanced numerical techniques . He employs pore-scale direct numerical simulations to investigate steel-concrete interface phenomena, developing predictive models for infrastructure durability. His methodological innovations include control volume isogeometric analysis, adaptive multiresolution modeling, and deep learning applications for adaptive meshing—addressing challenges in heterogeneous media flow and transport phenomena. Analysis of his 15 most recent publications reveals a consistent research trajectory since 2015, with accelerating output in corrosion science (5 papers in 2024-2025) and computational methods (7 papers 2019-2022). Key interdisciplinary connections span civil engineering (corrosion in reinforced concrete), chemical engineering (bubble column reactors), and hydrology (karst aquifer modeling), unified by his expertise in numerical simulation of transport phenomena. Recent work demonstrates increasing sophistication in modeling macrovoid formation at steel-concrete interfaces and capillary-driven multiphase systems.

Behrouz Aghajanlooمشاهده پروفایل

پژوهشگر

• Microfluidics
• Biomedical Engineering
• Microchannel Fabrication
• +۳ مورد دیگر

Behrouz Aghajanloo is an Academic Casual at the School of Engineering, Macquarie University, with a Doctor of Philosophy from the Faculty of Science and Engineering. His research focuses on microfluidics, particularly in microchannel design, fabrication methods, and applications in biomedical engineering. He explores topics like capillary wicking, cell separation, and inertial fluid dynamics. Recent work includes developing pumpless microfluidic systems and analyzing cellular biomechanics for diagnostic purposes. Education: Ph.D. in Engineering (Faculty of Science and Engineering, Macquarie University). Research Interests: Microfluidic device fabrication and optimization Biomedical microfluidic applications Capillarity-driven systems Cellular biomechanics Passive fluidic control mechanisms Collaborations and Networks: Active in global research networks, collaborating with institutions on microfluidic technologies for healthcare and diagnostics. His work bridges engineering and biomedical sciences, emphasizing practical solutions for lab-on-a-chip systems. Grants and Funding: Details not explicitly stated, but his research aligns with emerging trends in microfluidics and biomedical engineering funding areas.

Aaditya Khanalمشاهده پروفایل

استادیار

• Reservoir Simulation
• Carbon Sequestration
• Hydrogen Storage
• +۴ مورد دیگر

Aaditya Khanal, Ph.D., is an Assistant Professor of Chemical Engineering & Petroleum Engineering at The University of Tulsa's College of Engineering & Computer Science. His research focuses on modeling fluid flow in porous media with applications to energy extraction and climate change mitigation. Dr. Khanal's research interests include: CO2 sequestration in saline aquifers Underground hydrogen storage Hydrocarbon production forecasting for unconventional reservoirs Phase behavior modeling of hydrocarbons Machine learning applications to solve complex engineering problems His research methodology combines both numerical simulations and experimental approaches to address critical challenges in energy transition and sustainable resource management. Dr. Khanal has published extensively in the areas of carbon sequestration, hydrogen storage, and machine learning applications in reservoir engineering, with a notable focus on recent advancements in 2024-2025 publications that address critical challenges in underground energy storage and carbon management. Dr. Khanal's scholarly work demonstrates a strong interdisciplinary approach, bridging petroleum engineering, chemical engineering, and data science to develop innovative solutions for energy transition challenges. His recent publications show particular emphasis on hydrogen storage technologies, CO2 mineralization processes, and the application of machine learning to reservoir characterization.

Andreas Boudouvisمشاهده پروفایل

استاد

• Computational Transport Phenomena
• Fluid Mechanics
• Chemical Vapor Deposition
• +۷ مورد دیگر

Andreas Boudouvis is a Professor at the National Technical University of Athens (NTUA), School of Chemical Engineering, in the Department of Analysis, Design and Development of Processes and Systems. He served as Rector of NTUA from October 2019 until November 2023 and previously as Dean of the Chemical Engineering School from March 2013. His research focuses on computational transport phenomena and fluid mechanics with applications in chemical vapor deposition, multiscale modeling, and reduced-order modeling techniques. His research aims at investigating causes and illuminating mechanisms of engineering systems based on first principles. His work emphasizes computational analysis of transport phenomena, particularly examining viscous, gravitational, interfacial, and electromagnetic forces in flow and transport systems. Boudouvis employs advanced computational methods including Galerkin/finite element methods and numerical linear algebra techniques for large-scale scientific computing. His recent publications demonstrate a strong focus on hybrid equation-based and data-driven computational workflows for industrial deposition processes, population balance modeling for pharmaceutical applications, and multiscale analysis of chemical vapor deposition systems. His research group has produced numerous PhD and graduate theses spanning computational mechanics, fluid dynamics, and materials processing. Scientific Awards: 2024 Award for Excellence in Academic Teaching from the Foundation for Research and Technology-Hellas Professor honoris causa of the University of West Attica (2023) Boudouvis has supervised over 40 doctoral and graduate students whose work has received numerous awards including the Léopold Escande Prize for best PhD theses. His research group maintains strong international collaborations with institutions including Johns Hopkins University, University of Luxembourg, and Institut National Polytechnique de Toulouse. His work bridges fundamental computational methods with practical industrial applications, particularly in materials processing and chemical engineering systems.