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Chen LiuView profile

Assistant Professor

• Numerical Analysis
• Computational Mathematics
• Fluid Dynamics
• +2 more

Chen Liu is an Assistant Professor of Mathematics in the Department of Mathematical Sciences at the University of Arkansas's Fulbright College of Arts and Sciences. He holds a PhD in Computational and Applied Mathematics from Rice University. Research Interests: Dr. Liu's research focuses on developing advanced numerical methods for partial differential equations, particularly discontinuous Galerkin schemes for fluid dynamics applications. His work emphasizes structure-preserving algorithms for hyperbolic conservation laws, Navier-Stokes equations, and multiphase flow problems. Key research areas include bound-preserving limiters, high-order accuracy schemes, and efficient solvers for complex physical systems. Publication Trends: His recent publications demonstrate a consistent focus on improving numerical stability and accuracy for challenging fluid dynamics problems. Common themes include positivity-preserving schemes, multiphysics coupling (particularly Cahn-Hilliard-Navier-Stokes systems), and applications to porous media flow. Recent work shows increased emphasis on optimization-based approaches and implicit-explicit time integration techniques. Awards: No scientific awards mentioned. Academic Activities: No information available regarding students advised, research grants, or laboratory facilities.

Shanti BhushanView profile

Associate Professor

• Computational Fluid Dynamics (CFD)
• Turbulence Modeling
• Hypersonic Flows
• +7 more

Shanti Bhushan is an Associate Professor in the Michael W. Hall School of Mechanical Engineering at Mississippi State University (MSU) and serves as Associate Director of the Center for Advanced Vehicular Systems (CAVS) and iDEELab Deputy Director . He holds a Ph.D. in Aerospace Engineering from MSU (2003), M.S. from IIT Kharagpur (2000), and B.S. from Bengal Engineering College (1998). His research focuses on advanced CFD modeling, turbulence transition mechanisms, hypersonic flows, and fluid-structure interactions with over 20 years of experience in industrial and academic collaborations. Key research areas include turbulence modeling , hypersonic trajectory optimization , and machine learning integration with CFD. He has contributed to projects at the Air Force Research Lab, Argonne National Lab, and the University of Iowa's IIHR. Awards include the 2022 Outstanding Senior Faculty Research Award and 2016 Robert T. Knapp Award (ASME). Teaching : Viscous Fluid Dynamics, Intermediate Thermodynamics Leadership : ASME CFD Technical Committee Associate Editor Interdisciplinary Work : Poultry Incubator Thermal Studies, Scramjet Engine Modeling His publications span 20+ years, emphasizing LES/RANS hybrid models , vortex dynamics , and CFD validation for naval and aerospace applications. Recent work explores machine-learned turbulence closures and hypersonic thermal management .

Qingqing LiuView profile

Assistant Professor

• Nuclear Energy Thermal-Fluids
• Two-Phase Flow and Heat Transfer
• Cryogenic Fluids
• +4 more

Qingqing Liu is an Assistant Professor in the Michael W. Hall School of Mechanical Engineering at Mississippi State University. Their research focuses on thermal-fluids experiments and modeling in nuclear energy systems, space exploration, and advanced energy conversion technologies. Key areas include reactor thermal dynamics, two-phase flow phenomena, cryogenic fluids, and advanced instrumentation development. Education: Liu holds a Ph.D. in Nuclear Engineering from the University of Michigan (2020), an M.S. in Mechanical Engineering from Shanghai Jiao Tong University (2015), and a B.S. in Mechanical Engineering from the University of Shanghai for Science and Technology (2012). Research Interests: Their work addresses critical challenges in nuclear reactor thermal hydraulics, such as post-critical heat flux (Post-CHF) heat transfer, inverted annular film boiling regimes, and cryogenic fluid management for space applications. Techniques include experimental measurements (e.g., high-resolution X-ray radiography), computational fluid dynamics (CFD), and machine learning models for predictive analysis. Publications Highlight Trends: Recent work emphasizes experimental validation of flow regimes, machine learning for temperature predictions in Post-CHF conditions, and CFD modeling of bubbly flow in rectangular geometries. Research also explores cryogenic phase separation technologies and bubble dynamics under pressure gradients. Awards: 2022 Outstanding Reviewer Award (Nuclear Engineering and Technology), 2022 Best Paper Award (NURETH-19), 2012 Outstanding Graduates of Shanghai. Advising and Grants: While specific grants are not listed, Liu’s research indicates active involvement in experimental facilities and collaborations. Their work has been presented at major conferences like NURETH and the Japan-U.S. Seminar on Two-Phase Flow Dynamics. Labs/Teams: Engaged in thermal-hydraulics research groups at Mississippi State University and Dynaflow Inc., focusing on cryogenic systems and nuclear reactor safety.

Nathan MurrayView profile

Associate Professor

• Aeroacoustics
• Fluid Dynamics
• Jet Noise Reduction
• +6 more

Nathan Murray is an Associate Professor in the Department of Chemical Engineering and Director of the National Center for Physical Acoustics (NCPA) at The University of Mississippi. He holds a B.S. in Mechanical Engineering from Oklahoma Christian University (2000), followed by an M.S. (2003) and Ph.D. (2006) in Engineering Science from The University of Mississippi. His research focuses on experimental aeroacoustics, including jet noise reduction, fluid-acoustic interactions, supersonic flows, combustion systems, and high-speed two-phase flows. As Director of NCPA, Murray oversees world-class research in physical acoustics, building on the legacy of his grandfather, F. Douglas Shields. He is also a Fellow of the American Institute of Aeronautics and Astronautics (AIAA). His leadership extends to the Mississippi NASA Space Grant Consortium, where he promotes STEM education and research since 2015. Murray’s work bridges academia and industry, addressing challenges in aerospace propulsion, noise mitigation, and fluid dynamics through cutting-edge experimental and computational methods. His research portfolio includes studies on supersonic jet dynamics, acoustic velocimetry imaging, and passive noise reduction technologies. He has collaborated on innovations like contoured nozzles for jet noise suppression and advanced techniques for flow field estimation using machine learning. His contributions span over two decades, with over 50 peer-reviewed publications and impactful projects funded by agencies like NASA and the Department of Defense.

Hassan MasoudView profile

Associate Professor

• Interfacial and multiphase flows
• Fluid-structure interaction
• Collective effects
• +2 more

Dr. Hassan Masoud is an Associate Professor in the Department of Mechanical Engineering at Clemson University , where he joined in July 2024. He leads the Complex Fluids and Active Matter (CFAM) Lab , focusing on fluid dynamics with interactive boundaries across multiple scales. Education: Ph.D., Mechanical Engineering, Georgia Institute of Technology (2012) M.S., Mechanical Engineering, State University of New York at Buffalo (2009) B.S., Aerospace Engineering, Sharif University of Technology (2006) Research Interests: Interfacial and multiphase flows Fluid-structure interaction Collective effects Hydrodynamics of soft and active matter Flow through porous media Publications Trends: His work spans fluid dynamics, robotics, and transport phenomena, with a focus on Marangoni propulsion, droplet dynamics, and collective behavior in active matter. Recent articles explore applications in bioinspired robotics and microfluidics. Scientific Awards: NSF CAREER Award Editorial Role: He currently serves as an Associate Editor of the Journal of Engineering Mathematics .

Steven EckelsView profile

Professor

• Thermal Systems Design
• Heat Transfer Modeling
• Environmental Engineering
• +5 more

Steven Eckels is a Professor and Department Head of Mechanical and Nuclear Engineering at Kansas State University, holding the Steven M. and Kay L. Theede Chair in Engineering. He directs the Institute for Environmental Research, focusing on human-environment interactions and sustainable systems. His academic journey includes a B.S. from Dordt College (1988) and M.S./Ph.D. from Iowa State University (1991/1993). B.S. Mechanical Engineering – Dordt College, 1988 M.S. Mechanical Engineering – Iowa State University, 1991 Ph.D. Mechanical Engineering – Iowa State University, 1993 Research interests span multi-phase flows, thermal modeling of the human body, HVAC system efficiency, particulate matter control, and biocontainment systems. He pioneered the Two-Phase Heat Transfer Laboratory and developed thermal manikin technologies for clothing and building systems analysis. His work on low-GWP refrigerants and sonic multi-phase thermodynamic cycles advances sustainable cooling solutions. Dr. Eckels has authored 69 peer-reviewed publications, holds an H-Index of 15, and advised 6 Ph.D. and 18 M.S. students. He is a leader in ASHRAE, SAE, and ASME, contributing to technical committees and standards like ASHRAE 52.2. His awards highlight both research and teaching excellence, including the ASHRAE Distinguished Service Award and multiple teaching accolades. Labs: Two-Phase Heat Transfer Lab, Institute for Environmental Research Key Projects: Thermal manikin development, HEPA filter forensics, BSL-3 biocontainment systems

Tong YeView profile

Associate Professor

• Optical Nanoscopy
• Microscopy
• Mesoscopy
• +3 more

Tong Ye, Ph.D., is an Associate Professor at Clemson University's College of Engineering, Computing and Applied Sciences. He directs the Nano and Functional Imaging Lab located in the Bioengineering Building, where his research focuses on advanced optical imaging techniques for biomedical applications. Dr. Ye received his doctorate from the Chinese Academy of Sciences in 1995. Research Focus Dr. Ye's research spans three interconnected domains: Optical Imaging Development : Creating novel microscopy platforms including superresolution fluorescence, nonlinear optical, and light sheet microscopy systems for deep tissue visualization. Structural-Functional Assessment : Developing label-free methods for analyzing cell metabolism, tissue viability, and microstructural properties using intrinsic optical signatures. Medical Device Innovation : Engineering clinical imaging tools such as compact nonlinear arthroscopes and laser speckle contrast devices for dermatological and orthopedic applications. Publication Trends Recent publications (2023-2025) demonstrate Dr. Ye's focus on integrating deep learning with advanced microscopy for quantitative tissue analysis. Key trends include: (1) Development of AI-enhanced imaging pipelines for automated assessment of cartilage viability and cardiac capillarization; (2) Innovation in super-resolution techniques (e.g., Phasor-FSTM) for live-cell imaging; and (3) Application of multimodal approaches in orthopedics, cardiology, and oncology. His work consistently addresses clinical challenges through label-free, noninvasive methodologies. Laboratory The Nano and Functional Imaging Lab specializes in pushing resolution boundaries across spatial scales – from nanoscopic cellular structures to whole-organ imaging. Current projects include developing deep learning-enabled diagnostic platforms for articular cartilage assessment, creating compact imaging devices for clinical use, and investigating microvascular changes in disease models using advanced optical techniques.

Victor GintingView profile

Professor

• Numerical Analysis
• Multiscale Phenomena
• Porous Media Flow
• +4 more

Victor Ginting is a Professor of Mathematics at the University of Wyoming, Department of Mathematics & Statistics since 2007. He specializes in numerical analysis and multiscale phenomena, particularly in porous media flow. His research bridges mathematical theory and computational methods for complex physical systems. He holds a Ph.D. in Mathematics from Texas A&M University (2004), an M.S. in Ocean Engineering (1998), and a B.S. in Civil Engineering from Institut Teknologi Bandung, Indonesia (1995). Prior to UW, he was a postdoctoral associate at Colorado State University. His research focuses on numerical methods for partial differential equations, including finite element methods, multiscale modeling, and flow in porous media. He has contributed to applications in subsurface flow, contaminant transport, and uncertainty quantification. Notable work includes studies on two-phase flow instabilities, fractional diffusion equations, and Bayesian frameworks for subsurface characterization. Dr. Ginting serves as an Advisory Editor for the Journal of Computational and Applied Mathematics . His publications span 2004–2023, emphasizing computational mathematics, fluid dynamics, and interdisciplinary challenges in geosciences. His methodologies often address challenges in multiscale systems and data-driven simulation frameworks. Grants and collaborations involve advanced numerical techniques for reservoir engineering, environmental modeling, and mathematical software development. His work integrates theoretical rigor with practical applications in energy and environmental sectors.

Peimeng YinView profile

Assistant Professor

• Computational Mathematics
• Applied Mathematics
• Numerical Analysis
• +7 more

Peimeng Yin is an Assistant Professor in the Department of Mathematical Sciences at the University of Texas at El Paso (UTEP). His research focuses on computational mathematics and applied mathematics, emphasizing numerical analysis, partial differential equations, scientific computing, and data science. He designs and implements numerical algorithms for PDEs with applications in physics, astrophysics, engineering, biology, energy, and oncology. Key interests include discontinuous Galerkin methods, structure-preserving numerical techniques, dynamical low-rank approximation, and PDE-based data-driven modeling. His work bridges rigorous mathematical theory with practical computation, addressing challenges like high derivatives, singularities, and multiscale phenomena. Recent research involves adaptive finite element methods, positivity-preserving schemes, and machine learning-enhanced algorithms for parabolic equations. Yin's studies often emphasize energy stability and error estimation in gradient flow systems, with applications ranging from fluid dynamics to biomedical decision support systems. Notable contributions include advancements in biharmonic problem solvers, neutrino kinetic equations, and surgical outcome prediction models. He maintains an active publication record in top-tier computational mathematics journals, with a focus on developing robust numerical frameworks for complex physical systems.

Mohammad PiriView profile

Professor

• Petroleum Engineering
• Multiphase Flow in Porous Media
• CO2 Sequestration
• +5 more

Mohammad Piri is a Professor of Petroleum Engineering at the University of Wyoming, holding endowed chairs such as the Wyoming Excellence Chair in Petroleum Engineering and the Thomas and Shelley Botts Endowed Chair in Unconventional Reservoirs. He leads the Center of Innovation for Flow Through Porous Media. His research focuses on multiphase flow in porous media, pore-scale modeling, CO2 sequestration, and enhanced oil recovery techniques. Piri holds degrees from Imperial College London and Princeton University, with postdoctoral experience in Earth Science and Environmental Engineering. Education includes B.Sc. and M.Sc. in Chemical Engineering from Iran, followed by a Ph.D. in Petroleum Engineering from Imperial College London. Postdoctoral work at Imperial College London and Princeton University expanded his expertise in fluid dynamics and porous media behavior. Research interests span experimental and computational studies of fluid displacement mechanisms, wettability effects, and unconventional reservoir characterization. His work addresses challenges in carbon capture and storage, nanotechnology applications in EOR, and fracture-matrix interactions in carbonate systems. Key contributions include developing novel methods for nanoporous material characterization, foam-assisted gas injection techniques, and dynamic pore-network modeling frameworks. His experimental setups include high-pressure micromodels and in-situ imaging systems for real-time pore-scale analysis. Piri's advising and grants include supervision of graduate students in energy engineering, with funding from industry partnerships and federal grants. His laboratory focuses on translating fundamental pore-scale physics into scalable reservoir engineering solutions.

Peter BeckerView profile

Professor

• Theoretical Astrophysics
• Mathematical Physics
• Numerical Analysis
• +7 more

Peter Becker is a Professor and Director of International Collaborations at George Mason University’s School of Physics, Astronomy, & Computational Sciences within the College of Science. He holds a doctorate in Astrophysics from the University of Colorado at Boulder (1987) and has held postdoctoral and research positions at the University of Virginia and the Naval Research Laboratory. His research focuses on theoretical astrophysics, mathematical physics, and numerical analysis, particularly in accretion processes in X-ray pulsars, particle acceleration in astrophysical plasmas, and relativistic outflows from black holes. Current projects include collaborations with doctoral students Juan Luna and Ken Wolfram, and former students Dr. Truong Le and Dr. Prasad Subramanian. Research interests span accretion column dynamics, radiation-dominated shock waves, and blazar jet modeling. He has contributed to studies of cyclotron resonant scattering features, X-ray time lags in AGN, and gamma-ray flares in objects like the Crab Nebula. His work integrates analytical models with observational data from missions like RXTE, Swift, and NuSTAR. Publications emphasize spectral and timing analysis of accreting pulsars, relativistic particle acceleration mechanisms, and two-fluid hydrodynamical models for accretion flows. He is affiliated with the Physics & Astronomy Department as instructional faculty and actively advises doctoral students in computational astrophysics.

• Electronic Packaging
• Data Center Cooling
• Thermal Management
• +5 more

Dereje Agonafer is a Presidential Distinguished Professor at The University of Texas at Arlington (UTA), leading the Department of Mechanical and Aerospace Engineering. He directs two prominent centers: the NSF IUCRC in Energy Efficient Systems and the Electronics, MEMS, and Nanoelectronics Systems Packaging Center. With a career spanning academia and industry, he previously worked at IBM for 15 years, specializing in thermal engineering, and has since become a leading expert in electronic packaging and data center cooling. Education: PhD in Mechanical Engineering from Howard University (1984), MS from Howard University (1978), and BS in Aerospace Engineering from the University of Colorado Boulder (1972). His research focuses on energy-efficient systems, thermal management in 3D packaging, and reliability engineering. He has graduated 259 students (35 PhDs) and currently advises 15 PhD and 13 MS students. Notable achievements include the Thermi Award (2008), Heat Transfer Memorial Award (2019), and election to the National Academy of Engineering (2019). He holds over 200 publications and has secured millions in funding for projects like the NSF IUCRC Phase III. His work emphasizes sustainability and industry collaboration, with partnerships from Facebook, Yahoo, and Intel. Labs/Teams: Directs the UTA Data Center Lab, equipped with donated servers from Yahoo and Facebook, and leads research in immersion cooling, liquid cooling, and reliability testing. His team explores innovative cooling solutions for high-density computing systems, including dynamic thermal management and additive manufacturing-based heat sinks.

Christian SellarView profile

Professor

• Geopolitics
• Economic Governance
• International Political Economy
• +7 more

Dr. Christian Sellar is a Professor of Public Policy Leadership at the University of Mississippi’s Department of Public Policy Leadership, housed within the College of Liberal Arts. He holds dual Ph.D.s: in geo-history/geo-economy of border regions from Università degli Studi di Trieste (2006) and in geography from the University of North Carolina at Chapel Hill (2007). His work bridges geopolitics, economic governance, and spatial policy, with a focus on transnational firms’ impact on state structures and ideological geographies. Dr. Sellar’s research explores the interplay between geopolitics, economic geography, and institutional change, particularly in post-socialist Eastern Europe and border regions. He examines how multinational corporations reshape governance frameworks and how neoliberal policies interact with local contexts. Notable contributions include studies on Italian firms’ investments in Slovakia, Ukraine, and Romania, and analyses of European Union enlargement dynamics. His teaching portfolio includes courses on the European Union, geographies of conservatism, economic globalization, and border policies. He has authored/co-authored over 30 peer-reviewed articles and two books, including Geopolitical Perspectives from the Italian Border (2023). His research lab links to ORCiD and Google Scholar, showcasing extensive engagement with international scholarly networks. Dr. Sellar’s work highlights the tension between global economic forces and local identities, emphasizing the role of spatial imaginaries in policy formation. His recent studies investigate transnational investment networks, semi-peripheral geographies of finance, and the geopolitical legacies of border regions like Trieste.

• Biomedical Engineering
• Microfluidics
• Cell Biology
• +6 more

Glenn Walker is an Associate Dean for Research and Graduate Programs and a Professor of Biomedical Engineering and Electrical Engineering at The University of Mississippi. He holds a Ph.D. in Biomedical Engineering from the University of Wisconsin-Madison (2002). His research focuses on microfluidic systems, biomedical device development, and cellular engineering, with applications in diagnostics, drug delivery, and tissue modeling. Key areas include hypoxia studies, organ-on-a-chip platforms, and automated cell culture systems. Walker’s work bridges engineering and medicine, emphasizing innovative microfluidic technologies for biomedical challenges. His recent publications highlight advancements in passive pumping systems, oxygen-controlled bioreactors, and multiplexed diagnostic tools. He has contributed to over 50 peer-reviewed articles spanning microfluidic design, cell biology, and biomedical instrumentation. His academic leadership roles include overseeing graduate programs and research initiatives. While no specific grants or awards are listed in the provided materials, his extensive publication record underscores his technical contributions to the field.

Fredrik HaglindView profile

Professor

• Turbomachinery
• Thermal Energy Storage
• Waste Heat Recovery
• +5 more

Fredrik Haglind is a Professor at the Department of Civil and Mechanical Engineering, Technical University of Denmark, specializing in sustainable heat-to-power conversion technologies. He also holds an Adjunct Professor position at Korea Advanced Institute of Science and Technology since 2022. Ph.D. (2005), Cranfield University M.Sc. (1999), Lund University His research focuses on advanced turbomachinery , two-phase flow systems , and thermal energy storage , with applications in geothermal energy, concentrating solar power, and industrial waste heat recovery. Recent work includes: Non-dimensional turbomachinery models for pumped thermal storage One-dimensional modeling of two-phase flows in nozzles Hybrid energy storage integration with district cooling His publications (227 total) emphasize thermodynamic modeling , heat transfer enhancement , and low-temperature heat conversion . He supervises multiple Ph.D. projects including: Two-phase turbo-expanders for liquid air storage Supercritical CO2 compressor analysis Partial-evaporation ORC turbine optimization