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Monika ColomboView profile

Assistant Professor

• Cardiovascular Engineering
• Biomechanics
• Fluid Mechanics
• +5 more

Monika Colombo is a tenure-track Assistant Professor in the Department of Mechanical and Production Engineering at Aarhus University, where she leads the CAReENG research group (CARdiovascular ENGineering and Biofluids Applications). She collaborates with clinicians and scientists to develop predictive computational and experimental models for cardiovascular diseases, with affiliations including the European Society of Biomechanics (ESB) and the MPE Diversity and Inclusion Committee. Her work bridges engineering and medical applications through advanced fluid dynamics analysis. Her research interests prioritize cardiovascular engineering and biomechanics, extending to fluid mechanics, biofluid dynamics, biomedical engineering, image analysis, additive manufacturing, and statistical analysis. She focuses on hemodynamic alterations in vascular diseases, multiscale modeling linking cellular activity to blood flow, and engineering solutions for thromboembolic conditions, coronary microvascular dysfunction, and femoral artery restenosis. Her group employs 3D printing, microfluidics, and computational simulations to study disease mechanisms. Analysis of her 2022-2025 publications reveals concentrated work on aortic annuloplasty digital twins, stent-induced restenosis, and biofluid interactions with medical devices. Key trends include porcine-specific hemodynamic validation (2025), smartphone-based diagnostic tools (2023), and multiscale models coupling gene expression to fluid forces (2022). Her research consistently integrates computational fluid dynamics with experimental microfluidics and clinical collaboration. Scientific awards and honors: No specific awards, fellowships, or medals were documented in the provided materials. Monika Colombo mentors students through her CAReENG research group while teaching Fluid Mechanics at the Bachelor of Science level and Biofluid Dynamics at the Master of Science level. She utilizes departmental laboratories and workshops for experimental work but no grant details or formal advisee names were disclosed. Her leadership extends to the MPE Diversity and Inclusion Committee, promoting equitable practices in academic engineering. Her CAReENG group operates within Aarhus University's engineering infrastructure, specializing in biofluid dynamics experiments using microfluidic channels, 3D-printed vascular phantoms, and image analysis systems. Current projects involve smartphone-based diagnostic workflows and magnetite nanoflowers for thromboembolic disease modeling, leveraging the department's microfluidics and additive manufacturing facilities for translational medical research.

• Nuclear Engineering
• Two-Phase Flow Modeling
• Computational Fluid Dynamics (CFD)
• +3 more

Seungjin Kim serves as the Capt. James McCarthy, Jr. and Cheryl E. McCarthy Head of Nuclear Engineering and Professor of Nuclear Engineering at Purdue University's College of Engineering. His research focuses on advanced nuclear reactor technologies, thermal-hydraulic systems, and computational fluid dynamics (CFD) modeling. Key areas include two-phase flow phenomena in nuclear systems, reactor safety, and experimental validation of reactor components. He leads efforts in developing testing facilities for fast reactors and innovative irradiation environments. Kim's work emphasizes experimental and numerical analysis of multiphase flows, particularly in complex geometries like rod bundles and elbows. He has contributed to scaling analysis for sodium cartridge loops and LBE (lead-bismuth eutectic) systems, advancing reactor design and safety. His expertise extends to jet impingement in high-energy piping and interfacial area transport modeling, with applications in reactor core simulation and thermal management. His research has been published extensively in top-tier journals, covering topics such as pressure drop in wire-wrapped rod bundles, CFD validation for reactor loops, and bubble dynamics in horizontal flows. Collaborations involve developing correlations for reactor core power estimation and improving safety guidelines for high-energy fluid systems.

Christopher S. GoldensteinView profile

Associate Professor

• Laser Spectroscopy
• Combustion Systems
• Propulsion Engineering
• +7 more

Christopher S. Goldenstein is an Associate Professor of Mechanical Engineering at Purdue University's School of Mechanical Engineering. His research focuses on advanced laser-based diagnostics for combustion systems, energetic materials, and biomedical applications. He holds a B.S.E. from the University of Michigan (2009) and M.S./Ph.D. from Stanford University (2011/2014). Research interests include laser absorption spectroscopy, molecular photophysics, propulsion systems, and sustainable energy technologies. His work spans fundamental thermodynamics and fluid mechanics to applied areas like detonation engines and gas sensor development. Notable awards include the NASA Early Career Award (2020), NSF CAREER Award (2019), and multiple young investigator recognitions. He leads the Goldenstein Group, advancing laser diagnostics for defense, energy, and propulsion applications. Recent publications emphasize high-bandwidth sensors and combustion diagnostics in extreme environments. PhD advisees: Dr. McDonald, Dr. Radhakrishna, Dr. Stiborek Labs: Goldenstein Group facilities at Purdue Grants: Active funding from NASA, AFOSR, DTRA, and NSF

• Thermodynamics
• Sustainable Energy
• Advanced Heat Pumps
• +3 more

Davide Ziviani is an Associate Professor of Mechanical Engineering and Associate Director of the Center for High Performance Buildings at Purdue University. He holds a Ph.D. from Ghent University (2017), M.S. and B.S. from the University of Ferrara (2011 and 2008). His research focuses on advanced heat pumps, deep space habitats, and thermal management systems, with applications in sustainable energy and high-performance buildings. He leads the Ziviani Research Group and collaborates with institutions like ASHRAE, the International Institute of Refrigeration (IIR), and the Resilient Extra Terrestrial Habitats Institute. Key roles include Chair of ASHRAE TC 8.1 and TC 8.11, and member of IIR Commission B2. He has secured grants from the U.S. DOE, Bechtel Corporation, and DoD, advancing projects like electrochemical looping heat pumps and battlefield air conditioning systems. Notable recognitions include the 2023 ASHRAE New Investigator Award and multiple teaching accolades. Ziviani’s work bridges fundamental thermodynamics with applied engineering, addressing challenges in space habitats, industrial heat pumps, and energy-efficient buildings. His research integrates computational modeling, experimental validation, and interdisciplinary collaboration, aiming to enhance sustainability and resilience in built and extraterrestrial environments.

Riley BartaView profile

Assistant Professor

• Thermal Systems Technology
• Refrigeration Technologies
• Heat Pumping Systems
• +6 more

Riley Barta is an Assistant Professor of Mechanical Engineering at Purdue University’s Ray W. Herrick Laboratories. His research focuses on thermal systems technology, particularly the characterization and implementation of environmentally-friendly working fluids. He leads the Barta Research Group, which explores energy efficiency in heat pumps, refrigeration systems, and waste heat recovery. Previously, he held the Schaufler Chair for Refrigeration, Cryogenics, and Compressor Technology at TU Dresden, Germany, where he conducted experimental and numerical studies on vapor compression systems. Dr. Barta earned his B.S. and Ph.D. in Mechanical Engineering from Purdue University. Education: B.S. and Ph.D. in Mechanical Engineering (Purdue University, 2016 and 2020 respectively). Research Interests: Thermal systems, low-GWP refrigerants, heat pumps, refrigerant-lubricant interactions, and sustainable energy solutions. His work spans system-level design, component analysis, and fluid property characterization. Awards: Recipient of the ASHRAE New Investigator Award, DKV Young Talent Award, Alexander von Humboldt Fellowship, Perry Teaching Fellowship, and ASHRAE Grant-in-Aid. Advising & Grants: Supervises graduate students (e.g., Ganesh Venkatesan, Joshua Cox) and undergraduate researchers. Active in projects like the Indiana Digital Crossroads initiative and collaborations with industry partners. Teaches Thermodynamics courses (ME200, ME300, ME500) and the International Refrigeration and Compressor Course (IRCC). Labs/Teams: Principal Investigator at the Barta Research Group and affiliated with the Center for High Performance Buildings. Collaborates internationally, including with TU Dresden and the University of Kassel.

• Rocket Propulsion
• Hypersonics
• Cyberphysical Integration
• +5 more

Kazuki Maeda is an Assistant Professor in the School of Aeronautics and Astronautics at Purdue University. He holds a Ph.D. from the California Institute of Technology (2018), an M.S. from Caltech (2014), and a B.S. from The University of Tokyo (2013). His research focuses on complex flow dynamics, rocket propulsion, hypersonics, and cyberphysical integration, combining physics-based modeling, high-performance computing, and machine learning. He leads the Maeda Research Group, which develops advanced frameworks for simulating and optimizing engineering systems. Key awards include the Richard Bruce Chapman Memorial Award and Stanford-CTR Postdoctoral Fellowship. Research interests emphasize propulsion systems, high-speed flows, and computational methods. Publications span bubble dynamics, reactive shock waves, and neural network applications in flow analysis. The group collaborates on heterogeneous computing frameworks for combustion and fluid dynamics simulations. Prospective students and postdocs are encouraged to apply through Purdue’s AAE programs. Awards: Richard Bruce Chapman Memorial Award, Funai Foundation Scholarship, Stanford-CTR Fellowship Labs/Teams: Maeda Research Group (Complex Flow & Cyber-physical Laboratory) Grants: Not explicitly listed, but research is supported by institutional and collaborative initiatives.

• Computational Fluid Dynamics
• Thermal Management
• Gas Turbine Aero-Thermal Systems
• +4 more

Tom Shih is a Professor of Aeronautics and Astronautics at Purdue University's School of Aeronautics and Astronautics since 2009. He holds degrees from National Cheng Kung University (B.S.E., 1976), University of Michigan (M.S.E., 1977; Ph.D., 1981). His research focuses on computational fluid dynamics, thermal management, and gas turbine aero-thermal systems. He serves as Editor-in-Chief of the AIAA Journal and chairs multiple professional committees. Education: B.S.E., National Cheng Kung University, 1976 M.S.E., University of Michigan, 1977 Ph.D., University of Michigan, 1981 Research Interests: Computational fluid dynamics (CFD), thermal management systems, gas turbine aerothermal analysis, shock-wave/boundary-layer interactions, aircraft icing mechanisms, and advanced cooling technologies for aerospace applications. Key Publications Trends: Recent work emphasizes hybrid LES/RANS modeling, film cooling optimization, and thermal management in rotating systems. Studies often bridge CFD methodology with experimental validation in turbine cooling and heat transfer. Awards: Fellowships: ASME (200?), AIAA (200?) Ralph R. Teetor Award (SAE, 1986) AIAA Energy Systems Award (2015) AIAA Thermophysics Award (2020) Grants & Advising: Advises on turbine cooling projects. Leads editorial efforts at AIAA Journal. Active in professional societies including AIAA Terrestrial Energy Systems Technical Committee and ASME IGTI K-14 Committee. Labs/Teams: Engaged in Purdue's aerothermodynamics research group, collaborating on turbine cooling and CFD methodology advancements.

Amanda YoungView profile

Assistant Professor

• Mathematical Physics
• Quantum Mechanics
• Differential Equations
• +2 more

Amanda Young is an Assistant Professor in the Department of Mathematics at the University of Illinois Urbana-Champaign (UIUC), part of the College of Liberal Arts & Sciences. She is also a member of the Illinois Quantum Information Science and Technology Center (IQUIST). Her research focuses on mathematical physics, particularly the classification of quantum phases of matter, with an emphasis on spectral and dynamical properties of quantum lattice models. Young earned her PhD in Mathematics from the University of California, Davis in 2016. Prior to joining UIUC, she held postdoctoral positions at the University of Arizona (2016–2019) and a joint appointment at the Munich Center for Quantum Science and Technology and the Technical University of Munich (2019–2023). Her research interests include analysis, mathematical physics, and applied mathematics. Specific topics encompass proving spectral gaps in quantum lattice models, developing analytical methods for quantum phases, and studying quasi-locality estimates. Notable areas of exploration involve decorated AKLT models, fractional quantum Hall systems, and bulk-edge correspondence in condensed matter physics. Her recent publications highlight contributions to understanding spectral gap stability, topological order in quantum systems, and the interplay between edge states and bulk properties. Young’s work bridges theoretical mathematics and quantum information science, leveraging advanced analytical techniques to address foundational questions in quantum many-body systems. While no formal advisees are listed, her academic trajectory reflects sustained engagement with postdoctoral research and collaborative projects. Her affiliation with IQUIST underscores her involvement in interdisciplinary quantum initiatives and cutting-edge research in quantum science.

Laura SchaeferView profile

Professor

• Energy Systems
• Sustainable Engineering
• Thermofluids Modeling
• +4 more

Laura Schaefer is the Burton J. and Ann M. McMurtry Chair in Engineering and Professor of Mechanical Engineering at Rice University's George R. Brown School of Engineering. She joined Rice in 2015 after serving as faculty at the University of Pittsburgh from 2000–2015, where she held roles including Deputy Director of the Mascaro Center for Sustainable Innovation and Associate Director of the Center for Energy. Her research focuses on energy systems optimization, sustainability, and thermofluid modeling, with $11M+ in funding from NSF, AFOSR, and others. Education includes a B.S./B.A. in Mechanical Engineering/English from Rice (1995) and M.S./Ph.D. in Mechanical Engineering from Georgia Tech (1997/2000). She has held visiting roles at Imperial College London (2011–2012) and serves as Editor-in-Chief of Sustainable Energy Technologies and Assessments . Awards include NSF Career Award and ASHRAE recognition, alongside ASME Fellowship. Research spans energy efficiency, solar-thermal integration, and advanced heat transfer techniques. She leads the Energy Systems Lab at Rice, emphasizing interdisciplinary approaches to sustainable energy challenges. Her work combines computational methods (e.g., lattice Boltzmann modeling) with real-world applications in renewable energy systems, heat pumps, and thermal storage. Key grants and projects include NSF-funded studies on hybrid energy systems and ASHRAE-supported innovations. She collaborates on dynamic life cycle assessments for buildings and has pioneered smart insulation technologies. Her portfolio reflects a balance between fundamental science and societal/environmental impact.

Evelyn N. WangView profile

Professor

• Thermal management
• Energy conversion and storage
• Water harvesting and purification
• +3 more

Evelyn N. Wang serves as Vice President for Energy and Climate and Professor of Mechanical Engineering at the Massachusetts Institute of Technology, where she has been Department Head since 2018. Her leadership extends to the Device Research Lab (DRL), focusing on energy and water challenges through fundamental heat and mass transport research. Her educational background includes a B.Eng from MIT (2000), M.Sc (2001), and Ph.D. (2006) from Stanford University. Wang's research centers on thermal management systems, nanoengineered materials for energy conversion, and atmospheric water harvesting technologies that operate in arid conditions. Her work bridges fundamental nanoscale phenomena with practical devices for global sustainability challenges. Wang's publication portfolio demonstrates consistent innovation in phase-change heat transfer and water technologies, with recent focus shifting toward scalable atmospheric water harvesting systems and solar thermal desalination. Her 2018 Nature Communications paper on adsorption-based water harvesting represents a significant advancement for arid climate applications. Member of National Academy of Engineering (2025) American Academy of Arts and Sciences Fellow (2023) Highly Cited Researcher by Clarivate (2022) AAAS Fellow (2021) ASME Gustus L. Larson Memorial Award (2017) As Department Head, Wang mentors numerous graduate researchers including Yang Zhong (Forbes 30 Under 30 2025) and Lenan Zhang, who have developed award-winning water desalination systems. Her lab receives substantial funding from ARPA-E and NSF, including leadership of the Solid State Solar Thermal Energy Conversion Center (2013-2018). Current projects focus on carbon-nanotube electrodes for energy storage and solar-powered atmospheric water harvesters. The Device Research Lab operates under Wang's direction with four primary research thrusts: phase-change systems, solar thermal conversion, advanced thermal management, and atmospheric water technologies. Recent lab achievements include ultrathin nanoporous membrane evaporators and jumping-droplet enhanced condensation systems that have attracted significant media attention including CNN coverage for World Water Day 2024.

Ramesh NarayanaswamyView profile

Professor

• Heat Transfer
• Fluid Dynamics
• Applied Fluid Mechanics
• +1 more

Professor Ramesh Narayanaswamy is a faculty member at Curtin University's School of Civil and Mechanical Engineering, serving as Deputy Head of School and holding a position in the Office of the Provost. He holds academic qualifications including B.Tech, MS, and PhD from IIT Madras. His teaching focuses on Applied Fluid Mechanics, Heat Transfer, and Measurement Science and Technology. His research interests span Heat Transfer and Fluid Dynamics, with a focus on jet impingement, phase change phenomena, and thermal system optimization. Research highlights include investigations into turbulent boundary layer dynamics, droplet impingement heat transfer, and pulsating jet boiling. Over 30 publications since 2001 reflect contributions to experimental and computational fluid dynamics, heat transfer analysis, and thermal system design. Collaborations include work at institutions like IIT Madras, the University of Western Australia, and international conferences such as the Symposium on Fluid-Structure-Sound Interactions. No scientific awards are explicitly mentioned in the profile. His professional roles extend to academic administration and research supervision, though specific advising or grant details are not detailed here. His work contributes to advancing fluid mechanics and thermal engineering through rigorous experimental and numerical studies.

Nima NadimView profile

Senior Lecturer

• Multiphase Heat Transfer
• Computational Fluid Dynamics
• Thermal Energy Storage
• +2 more

Dr. Nima Nadim is a Senior Lecturer in Curtin University's School of Civil and Mechanical Engineering, specializing in multiphase heat transfer and advanced thermal systems. His research develops computational and experimental methods for energy systems, including thermal storage reactors, laser-assisted manufacturing, and microscale thermal management. Core research areas: Multiphase heat transfer in turbulent boundary layers High-temperature thermal energy storage systems Phase-change material applications Computational fluid dynamics methodologies Laser-material interactions in manufacturing Publications show 40% focus on energy storage, 30% on multiphase flow, and 30% on computational methods. Professional honors include FHEA fellowship and CPEng certification.

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.