جستجوی استاد راهنمای دانشگاهی

• Multiphase Flow
• Computational Physics
• Lattice Boltzmann Method
• +۳ مورد دیگر

Aritra Mukherjee is a Research Fellow at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Energy and Process Engineering and the Department of Language and Literature. His work integrates computational physics, fluid dynamics, and thermal engineering to address complex multiphase flow phenomena and environmental modeling challenges. His research focuses on multiphase flow dynamics, phase-change processes, and high-performance computational methods such as the lattice Boltzmann method. He also explores applications in wildfire prediction, thermal hydraulics, and nanostructured surface characterization. His contributions span both fundamental fluid mechanics and applied environmental science. Key research themes include low Mach number modeling for multicomponent flows, GPU-accelerated simulation frameworks, and dual-phase-lag heat conduction analysis. His work bridges mesoscopic fluid dynamics with large-scale environmental systems, emphasizing algorithmic innovation for multiphase systems. Notable outreach includes a 2024 presentation at the International Conference on Numerical Methods in Multiphase Flows in Reykjavik, Iceland. His lab affiliations include the Strømningstekniske laboratorier (Fluid Mechanics Laboratory) at NTNU.

Emilio Bagliettoمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Thermal Hydraulics
• Multiphase Flow Modeling
• +۵ مورد دیگر

Emilio Baglietto is the Norman C. Rasmussen Professor and Associate Department Head of Nuclear Science and Engineering at the Massachusetts Institute of Technology (MIT), with a focus on advancing computational methods for nuclear systems. His research spans turbulence modeling, multiphase flows, boiling heat transfer, and uncertainty quantification, aiming to transform nuclear reactor design and safety analysis through high-fidelity simulations. Associate Professor, MIT Nuclear Science and Engineering Associate Department Head, MIT NSE Director, MIT Virtual Reactor Development Research Interests include: Computational Fluid Dynamics (CFD): Development of the STRUCT (Structure-Based Turbulence) model for mesh-independent scale resolution in reactor simulations, combining LES-like accuracy with RANS efficiency. Boiling Phenomena: Creation of the MIT-boiling (MITB) framework for predictive modeling of critical heat flux (CHF) and boiling dynamics across coolant types and geometries. Digital Twins: Integration of UQ frameworks into real-time reactor diagnostics, including a DOE-ARPA-E collaboration on the BWRX300 digital twin. Cross-Sector Applications: Adaptation of multiphase models for solar power, chemical processing, and cryogenic systems in space exploration. Teaching Contributions: Offers courses like 22.315 (Applied CFD) and 22.316 (Multiphase Flow Modeling), emphasizing simulation-based engineering education. Awards: Recipient of the 2025 Ruth and Joel Spira Award for excellence in engineering education. Leads MIT NSE’s DEI initiatives since 2023.

Qingqing Liuمشاهده پروفایل

استادیار

• Nuclear Energy Thermal-Fluids
• Two-Phase Flow and Heat Transfer
• Cryogenic Fluids
• +۴ مورد دیگر

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.

Matteo Bucciمشاهده پروفایل

دانشیار

• Boiling Heat Transfer
• Micro- and Nano-technologies for Nuclear Reactors
• Advanced Experimental Diagnostics
• +۴ مورد دیگر

Matteo Bucci is the Esther and Harold E. Edgerton Associate Professor of Nuclear Science and Engineering at the Massachusetts Institute of Technology (MIT), School of Engineering. His work bridges nuclear and aerospace applications, focusing on boiling heat transfer, advanced diagnostics, and surface engineering. He serves as Editor of Applied Thermal Engineering and Deputy Editor-in-Chief of AI Thermal Fluids . Role: Associate Professor, MIT School of Engineering Founding Editor: AI Thermal Fluids Founder: NSF Thermal Transport Café Co-Founder: Startup Ferveret (data center cooling) Research Interests : Bucci's group investigates boiling heat transfer mechanisms under extreme conditions, such as high-pressure environments in nuclear reactors and microgravity in space propulsion. They develop non-intrusive diagnostics like infrared thermography and phase-detection tools, combined with machine learning for real-time data processing. Key areas include: Cryogenic boiling for space systems Surface engineering to enhance critical heat flux (CHF) Machine learning algorithms for diagnostics Micro- and nano-structuring of reactor materials Accident Tolerant Fuel (ATF) coatings Autonomous experimental systems Article Trends : His publications highlight interdisciplinary approaches combining nuclear engineering, machine learning, and microfluidics. Recent work focuses on AI-driven diagnostics, surface optimization for CHF enhancement, and cryogenic/space applications. Scientific Awards : Ruth and Joel Spira Award for Excellence in Teaching (2020) DOE Distinguished Early Career Award (2022) ANS PAI Outstanding Faculty Award (2018, 2023) UIT-Fluent Award (2006) ANS THD Best Paper Award (2012) CFD4NRS Best Poster (2016) Labs & Teams : Bucci leads the MIT Red Lab, collaborating with institutions like the CANES Center for Advanced Nuclear Energy Systems and VIR2AL International Research Institute. His team includes researchers exploring boiling physics, diagnostics, and cooling technologies.

• Mechanical Engineering
• Vehicle Dynamics
• Control Systems
• +۷ مورد دیگر

Professor Julian Dunne is a Professor of Mechanical Engineering at the University of Sussex, affiliated with the School of Engineering and Informatics and the Department of Engineering and Design. He leads the 30-member Dynamics, Control, and Vehicle (DCV) Research Group and holds administrative roles including Head of the DCV Group, Chair of the Undergraduate Module Assessment Board, and Deputy Chair of the Undergraduate Progress and Award Board. His research focuses on dynamics and control in low CO₂ road transport, including vehicle dynamics, engine efficiency, NVH reduction, and optimal control strategies for energy systems. Education: BSc (Newcastle), PhD (Bristol), Chartered Engineer (CEng), Fellow of the Institution of Mechanical Engineers (FIMechE). He is also on the editorial boards of three journals: Journal of Sound and Vibration , Vehicles , and Journal of Autonomous Intelligence . Research interests span vehicle, engine, and rotor dynamics; nonlinear dynamic analysis; optimal control (e.g., KERS); and CO₂ reduction via energy-efficient powertrains, lightweighting, and drag-reduction technologies. His work is funded by EPSRC, EU, Jaguar Land Rover, Ford, Ricardo, and Denso. Recent publications emphasize spray evaporative cooling for powertrain thermal management, free-piston engine dynamics, and vibration-temperature interactions in automotive systems. Grant activities include projects on evaporative cooling systems (EPSRC, Ricardo) and control strategies for IC engines (EPSRC). Teaching includes modules on systems analysis and control, mechanical dynamics, and vehicle engineering at undergraduate and postgraduate levels. The DCV Group collaborates across disciplines to address climate change through advanced modeling, control systems, and sustainable transport solutions.

Pavlos Aleiferisمشاهده پروفایل

استاد

• Mechanical Engineering
• Automotive Engineering
• Aerospace Engineering
• +۱۵ مورد دیگر

Professor Pavlos Aleiferis holds the Chair in Thermofluids in the Department of Mechanical Engineering, Faculty of Engineering at Imperial College London. He serves as Head of the Thermofluids Section and Member of the Departmental Management Committee. Previously, he was Professor of Thermofluids at University College London (2015-2016), Reader at UCL (2011-2015), and Lecturer at UCL (2003-2011). He earned his PhD from Imperial College (2000) after completing an MSc in Thermal Power and Fluids Engineering and a Diploma in Mechanical Engineering from the University of Manchester. Research focuses on fundamental fluid mechanics applied to sustainable energy and propulsion systems, employing laser diagnostics and numerical modeling. Key areas include: Turbulence and cyclic variations Hydrogen/ammonia engine flows Flash boiling and supercritical sprays Battery thermal management Underexpanded jets Lubrication film dynamics Sustainable fuel properties Research is sponsored by EPSRC, Jaguar Land Rover (including Centre of Excellence in engine flows), Shell, MAHLE Powertrain, BP, Lotus, Ford, and Delphi. Recent publications demonstrate strong focus on experimental and computational analysis of fuel sprays (ethanol, hydrogen), combustion phenomena, nozzle flow dynamics, and engine optimization. Trends include advanced optical diagnostics (PLIF, schlieren), multi-physics modeling (LES, VOF), and sustainable fuel applications across extreme thermodynamic conditions. Awards include: Dugald Clerk Prize (Institution of Mechanical Engineers) Sugden Award (Combustion Institute) Prizes from Institute of Physics International Centre for Heat and Mass Transfer awards Society of Automotive Engineers honors Teaching responsibilities include leadership of Computational Fluid Dynamics (MECH70015) and co-leadership of Environmental and Applied Fluid Dynamics (MECH70027). Editorial duties encompass boards of Fuel (Elsevier) and Fuels (MDPI).

• Mechanical Engineering
• Interdisciplinary Engineering
• Electrical and Electronic Engineering
• +۳ مورد دیگر

Dr. Sara Vahaji is a Senior Lecturer at the School of Engineering, RMIT University, specializing in fluid dynamics, thermal engineering, and biomedical applications. Her research focuses on computational fluid dynamics (CFD) modeling of complex flows in medical devices, energy systems, and environmental technologies. She has supervised multiple research projects in areas like nasal drug delivery, solar panel maintenance, and thermoelectric desalination. Her work integrates interdisciplinary approaches across mechanical, biomedical, and electrical engineering disciplines. Research interests include aerosol transport, multiphase flow analysis, heat transfer optimization, and CFD applications in respiratory physiology and energy systems. Notable projects involve nasal spray atomization dynamics, N95 mask CO2 retention effects, and oil-water flow characteristics in pipelines. She collaborates widely and has published extensively in high-impact journals. Dr. Vahaji is actively involved in supervising PhD/Masters research projects on topics such as USV launch hydrodynamics, graphene-based water distillation systems, and AI-driven solar plant monitoring. Her work bridges theoretical modeling with practical engineering solutions, addressing challenges in healthcare, renewable energy, and environmental sustainability.

• Flow boiling
• Pool boiling
• Microchannel heat transfer
• +۵ مورد دیگر

Satish Kandlikar is the Gleason Professor of Mechanical Engineering at Rochester Institute of Technology (RIT), where he has been a faculty member since 1980. He is affiliated with the Kate Gleason College of Engineering and the Department of Mechanical Engineering. Previously, he served as faculty at the Indian Institute of Technology in Bombay before joining RIT. Professor Kandlikar's research focuses on flow boiling phenomena, developing ultra-high performance pool and flow boiling heat transfer surfaces, stabilizing flow boiling in microchannels, interface mechanics during rapid evaporation, and advanced chip cooling with single-phase liquid flow. His work has evolved from empirical studies that produced widely accepted correlations for different geometries to fundamental investigations using high-speed photography techniques to understand bubble dynamics. Recently, he has expanded into biomedical applications, particularly using infrared imaging technology for breast cancer detection. His research output shows a clear progression from fundamental boiling mechanisms to practical applications in electronics cooling and biomedical diagnostics. Recent publications (2019-2021) demonstrate continued innovation in surface engineering for boiling enhancement using graphene and other nanomaterials, while simultaneously branching into medical applications of thermal imaging. Scientific Awards: Eisenhart Award for Outstanding from RIT Trustees Scholarship Award from RIT Engineer of the Year Award from Rochester Engineering Society Heat Transfer Memorial Award from the American Society of Mechanical Engineers Professor Kandlikar advises numerous graduate students, with recent publications showing strong student involvement as lead authors. His lab appears well-funded with active research in both traditional thermal engineering and innovative biomedical applications. He has founded significant professional initiatives including the ASME Heat Transfer chapter in Rochester and the E-cubed science and engineering fair for middle school students, demonstrating strong commitment to mentoring and community engagement. His laboratory focuses on experimental thermal science with capabilities in high-speed imaging of bubble dynamics, nanofabrication for surface modification, thermal testing of microchannel systems, and potentially clinical thermal imaging equipment for the biomedical applications. The lab culture appears collaborative, with students taking lead roles in publications and presenting at major conferences.