جست‌وجوی استاد و پژوهشگر

Stephen Ancoمشاهده پروفایل

استاد

• Nonlinear Differential Equations
• Symmetry Analysis
• Integrability and Solitons
• +۴ مورد دیگر

Stephen Anco is a Professor in the Department of Mathematics and Statistics at Brock University's Faculty of Mathematics and Science. His research focuses on nonlinear differential equations, symmetry analysis, integrability, solitons, and mathematical physics. He received his BSc from Caltech and MS/PhD from the University of Chicago. Anco's research interests include nonlinear wave equations, geometric curve flows, conservation laws, and integrable systems. His work connects mathematical physics with applications in fluid dynamics, magnetohydrodynamics, and gauge field theories. His publications demonstrate strong themes in soliton dynamics, conservation law derivation, and symmetry methods for PDEs. Recent work explores peakon equations, fluid invariants, and geometric integrable systems. Distinguished Research Award, Faculty of Mathematics & Science (2015) Anco has supervised over 25 graduate students (PhD and MSc) in mathematics and theoretical physics, with research spanning soliton interactions, conservation laws, and geometric flows. He maintains international collaborations and has co-authored influential textbooks on symmetry methods for differential equations.

Amin Amirlatifiمشاهده پروفایل

دانشیار

• Geomechanics
• Quantum Computing Applications
• Predictive Maintenance
• +۸ مورد دیگر

Dr. Amin Amirlatifi is an Associate Professor and Cleveland Endowed Professor at the Swalm School of Chemical Engineering, Mississippi State University. He serves as Associate Director of the PATENT Lab. His research focuses on geomechanics, quantum computing applications, CO2 sequestration, predictive maintenance, and big data analytics. He has industry experience in reservoir engineering and numerical simulation. Education: Ph.D., Missouri University of Science and Technology, 2013 M.Sc., University of Petroleum Technology, 2005 M.Eng., University of Calgary, 2005 B.Sc., University of Petroleum Technology, 2003 Research Interests: Geomechanics, Quantum Computing, Carbon Capture and Storage, Enhanced Oil Recovery, Big Data Analytics, Hydraulic Fracturing, and Energy Storage Solutions. His work bridges engineering challenges with advanced computational methods. Labs/Teams: Leads the PATENT Lab, focusing on innovation in energy and environmental systems. Collaborates on machinery fault prediction, CO2 sequestration, and quantum computing applications. Grants/Advising: Active in securing grants for geomechanical and CO2 storage projects. Advises on interdisciplinary topics at the intersection of AI and engineering systems.

• Hypersonic Aerothermodynamics
• Laser-Based Diagnostics
• Plasma Discharge in Supersonic Flows
• +۳ مورد دیگر

Dr. Vijay Gopal is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at The University of Texas at Arlington. He holds a B.E. in Telecommunication Engineering from BMS College of Engineering, and M.Sc. and Ph.D. degrees in Aerospace Engineering from UTA. His research focuses on hypersonic aerothermodynamics, laser-based diagnostics, and plasma dynamics in supersonic flows. He has conducted extensive work in arc-jet wind tunnel testing and flow characterization techniques. Education: PhD in Aerospace Engineering, The University of Texas at Arlington (2020) MSc in Aerospace Engineering, The University of Texas at Arlington (2015) B.E. in Telecommunication Engineering, Visvesvaraya Technological University (2012) Research Interests: Hypersonic Aerothermodynamics Laser-Based Diagnostics (FLEET, Fs-TALIF) Plasma Discharge in Supersonic Flows Supersonic Vortex Dynamics Flow Mixing and Shock Wave Interactions His publications emphasize advanced diagnostics for hypersonic flows and scramjet propulsion systems. Recent work includes studies on filtered Rayleigh scattering (FRS) and FLEET velocimetry in arc-jet environments. Awards include the Kalpana Chawla Endowed Scholarship and an ONR fellowship. Teaching includes laboratory courses in aerodynamics and fluids, as well as graduate research supervision. He is a member of AIAA since 2019 and has presented at venues like the Princeton Collaborative Low Temperature Plasma Research Facility.

Luca Maddalenaمشاهده پروفایل

استاد

• Hypersonic air-breathing propulsion
• Injection mixing and combustion
• Compressible turbulent mixing
• +۵ مورد دیگر

Luca Maddalena is a Full Professor of Aerospace Engineering and the Director of the Aerodynamics Research Center (ARC) at The University of Texas at Arlington. He leads research operations in multiple advanced wind tunnel facilities including a low-speed wind tunnel, transonic Ludwieg tube tunnel (0.4 Dr. Maddalena earned his PhD in Aerospace & Ocean Engineering from Virginia Polytechnic Institute and State University in 2007, with a dissertation titled "Investigations of Injectors for Scramjet Engines." Prior to that, he obtained his MS in Aerospace Engineering from Politecnico de Milano in 2004, with a dissertation on "Transverse Liquid injection into a supersonic flow for scramjet applications." His primary research focuses on experimental investigations of mixing and combustion in turbulent supersonic flows relevant to hypersonic airbreathing propulsion, and on reusable thermal protection systems and thermal management for sustained hypersonic flight. His work spans several key areas: Hypersonic air-breathing propulsion systems Injection mixing and combustion in high-speed flows Compressible turbulent mixing and vortex dynamics Hypersonic aerothermodynamics Thermal protection systems and thermal management strategies Experimental fluid dynamics and advanced instrumentation Dr. Maddalena's recent publications demonstrate a strong focus on advanced diagnostic techniques for hypersonic flow characterization, particularly using laser-based methods like Filtered Rayleigh Scattering and FLEET velocimetry. His work shows increasing emphasis on practical applications for thermal protection systems and the development of more accurate measurement techniques for high-enthalpy flows. The research consistently addresses the fundamental fluid dynamics challenges in hypersonic propulsion while maintaining strong connections to real-world engineering applications. Among his notable scientific achievements are: AIAA Ground Testing Award (2023) AIAA Hypersonics Best Paper Award (2020) Fellow of the Royal Aeronautical Society (2020) Nomination for University Award of Outstanding Research Achievement at UTA (2018) Associate Fellow of the American Institute of Aeronautics and Astronautics (2016) Dr. Maddalena has advised numerous graduate and undergraduate students, including multiple PhD and Master's candidates who have gone on to positions at NASA, Blue Origin, SpaceX, and other leading aerospace organizations. His research has been generously funded by various prestigious organizations including NASA Langley Research Center, the Office of Naval Research (ONR), the Air Force Research Laboratory, DARPA, and the Department of Energy. Notably, ONR and DARPA jointly funded his group for the design and construction of a National-Level Hypersonic Research Facility for High-Temperature Materials Development and Characterization. As Director of the Aerodynamics Research Center, Dr. Maddalena oversees a comprehensive suite of experimental facilities dedicated to hypersonic research. His team focuses on both fundamental fluid dynamics investigations and practical engineering solutions for hypersonic flight challenges. Current work includes developing advanced diagnostic techniques for arc-jet facilities, studying thermal protection systems, and investigating vortex dynamics for improved scramjet combustor designs.

Adrian Sescuمشاهده پروفایل

استاد

• Fluid Mechanics
• Aeroacoustics
• Turbulent Flows
• +۲ مورد دیگر

Adrian Sescu serves as Airbus Helicopters Professor, Graduate Coordinator, and Interim Associate Dean at Mississippi State University's Bagley College of Engineering. He holds a Ph.D. in Mechanical Engineering (2011), M.S. in Aerospace Engineering (2005), and B.S. in Aerospace Engineering (2004). Research focuses on fluid dynamics and aerodynamics: Boundary layer stability and control Theoretical and computational aeroacoustics Turbulence modeling and LES simulations Wind energy applications High-speed flow phenomena His 15 most recent publications demonstrate sustained focus on computational methods, aeroacoustics, and wind energy, with emerging work on vortex dynamics and flow control. Teaching covers fluid mechanics, aerodynamics, and CFD courses at both undergraduate and graduate levels.

Vahab Pournaghshbandمشاهده پروفایل

دانشیار

• Computer Networks
• Computer Security
• Computer Science Education
• +۳ مورد دیگر

Vahab Pournaghshband is an Associate Professor at the University of San Francisco and founder/director of the Networks & Security Research Laboratory (Nets Lab). He focuses on integrating cybersecurity into computer science education while advancing research in network security and traffic analysis. His work emphasizes creating inclusive learning environments and developing pedagogies that address diversity and gender equity in STEM materials. He is a recipient of the 2020 Fulbright U.S. Scholar Award and the 2016 Outstanding Engineering Achievement Merit Award from The Engineers’ Council. Educations: PhD in Computer Science, University of California, Los Angeles (UCLA) MS in Computer Science, University of California, Berkeley BS in Electrical Engineering and Computer Science, University of California, Berkeley Research Interests: Computer Networks: Middleware detection, traffic prioritization, and network transparency studies. Computer Security: Protection of legacy systems, wearable security devices, and secure coding practices. Computer Science Education: Diversity-inclusive pedagogies, security mindset integration in foundational courses, and bias mitigation in educational materials. His work bridges technical network management with educational innovation, aiming to enhance both cybersecurity infrastructure and equitable access to CS knowledge. Publications Trend: Recent works (2024-2017) focus on middlebox detection frameworks, security education methodologies, and healthcare IoT protection. Earlier research explored traffic queuing simulation and legacy device security solutions, reflecting a consistent emphasis on network transparency and educational equity. Awards: Fulbright U.S. Scholar Award (2020) Outstanding Engineering Achievement Merit Award (2016) Labs & Teams: He leads the Networks & Security Research Laboratory (Nets Lab) , which investigates cutting-edge cybersecurity solutions and inclusive pedagogical strategies. The lab collaborates on projects involving global network testbeds like PlanetLab and middleware evasion techniques.

Nishith Babubhai Desaiمشاهده پروفایل

پژوهشگر

• Packed Bed Engineering
• Cryogenic Energy Storage
• Energy Storage Systems
• +۵ مورد دیگر

Nishith Babubhai Desai is a Senior Researcher in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), located at Koppels Allé, 403, 024, 2800 Kgs. Lyngby, Denmark. His work directly supports UN Sustainable Development Goals through innovations in thermal energy systems and storage technologies. His research specializes in Packed Bed Engineering (100% fingerprint prominence), Cryogenic Energy Storage (68%), Energy Storage Systems (65%), Organic Rankine Cycle (59%), and Thermal Energy Storage Systems (44%). He employs computational fluid dynamics and thermodynamic modeling to optimize solidification processes, two-phase flows, and energy storage configurations for industrial applications. Recent publications (2025-2026) demonstrate a concentrated focus on molten salt heat exchanger solidification, hybrid pumped thermal-liquid air storage integration, and compressor performance prediction. These works collectively advance thermal energy storage efficiency, system roundtrip optimization, and cryogenic storage scalability within mechanical engineering. No scientific awards, fellowships, or medals were documented in the source material. Dr. Desai actively supervises four PhD students on critical energy projects including two-phase turbo-expanders for liquid air storage and supersonic turbine design for organic Rankine cycles. He participates in the EMPOWER initiative (2025-2028) developing two-phase expansion technology for geothermal and industrial waste heat recovery, securing significant research funding for DTU's sustainability efforts.

Qinling Liمشاهده پروفایل

مدرس ارشد

• Computational Fluid Dynamics (CFD)
• Turbomachinery Design
• Aerodynamics
• +۵ مورد دیگر

Dr. Qinling Li is a Senior Lecturer in Thermo-Fluids at the Department of Engineering and Mathematics, Sheffield Hallam University, and part-time member of the CFD Lab at the University of Cambridge. Her research focuses on computational fluid dynamics (CFD), supersonic jet dynamics, energy storage, and turbomachinery design. She holds a PhD from Southampton University and has held roles including Research Associate at the University of Cambridge and Loughborough University. Education: PhD in Aerodynamic Flight Mechanics, Southampton University, 2003 MSc and BSc from Xi'an Jiaotong University, China Research Interests: LES of Supersonic Jet in Crossflow (SJICF) Direct Numerical Simulation (DNS) of compressibility effects Turbomachinery design and performance optimization Shockwave-boundary layer interaction Fluid-structure interaction (FSI) Teaching Modules: Further Thermodynamics and Fluid Mechanics Advanced CFD Body Styling & CFD Professional Activities: Reviewer, Journal of Applied Computational Methods (2018–present) Visiting Scholar, Beijing Institute of Technology (2016–2017) Member of IMechE, AIAA, and RAeS Labs/Teams: Active contributor to the CFD Lab (Cambridge) and the Materials and Engineering Research Institute (MERI) at Sheffield Hallam.

Ioannis Ioannouمشاهده پروفایل

استاد

• Characterization of Building Materials
• Capillary Flow in Porous Media
• Corrosion Mechanisms
• +۴ مورد دیگر

Professor Ioannis Ioannou (email: ioannis@ucy.ac.cy ) is affiliated with the Department of Civil and Environmental Engineering at the University of Cyprus , where he has served as a full Professor since 2015. He previously held roles including Associate Professor (2009-2015), Lecturer (2005-2009), and Visiting Lecturer (2003-2005), and worked as a Researcher at the University of Edinburgh. Education: B.Sc. in Planning and Management of Construction Projects (First Class Hons, 1999-2002), University of Manchester (UMIST) Ph.D. in Structural Engineering (2002), University of Manchester (UMIST) Research Interests: His work focuses on characterization of building materials (stones, mortars, mud bricks), capillary flow in porous media , corrosion mechanisms of materials and monuments, salt crystallization , and environmentally friendly composites . His research bridges structural engineering, material science, and heritage conservation, with applications in sustainable construction and masonry durability. Scientific Awards: Outstanding Paper 2022 Award for his work on salt weathering tests

Jason Hughesمشاهده پروفایل

مدرس

• Fluid Dynamics
• Numerical Methods
• Computational Fluid Dynamics
• +۳ مورد دیگر

Dr. Jason Hughes is a Lecturer in Mathematics at the University of Plymouth, affiliated with the School of Engineering, Computing and Mathematics within the Faculty of Science and Engineering. He specializes in teaching mathematical and numerical methods for engineering and mathematics students, including courses on Numerical Methods, Engineering Analysis, and Fluid Dynamics. He serves as Programme Manager for undergraduate Mathematics programmes and Academic Coordinator for Mathematics PALS (Peer Assisted Learning Scheme). His research focuses on computational fluid dynamics, particularly using Smoothed Particle Hydrodynamics (SPH) to model fluid dynamics phenomena such as wave simulations, hydrodynamic performance of energy devices, and tsunami generation. His work also extends to numerical methods for viscous flows and industrial applications like waste heat recovery and material degradation analysis. Hughes has published extensively on SPH modeling techniques, wave energy converters, and fluid-structure interactions. His recent studies include developing parallel SPH frameworks for free surface flows and investigating the hydrodynamic performance of oscillating water column devices. His earlier work addressed challenges in polymer safety, coastal engineering, and rheometry. Despite his prolific research output, no scientific awards or grants are explicitly listed in the provided texts. His teaching and coordination roles highlight a commitment to both academic rigor and student support within the Mathematics community at Plymouth.

Yuri V Lvovمشاهده پروفایل

استاد

• Mathematical Physics
• Nonlinear Phenomena
• Wave Turbulence Theory
• +۷ مورد دیگر

Yuri V Lvov serves as a Professor in the Department of Mathematical Sciences within Rensselaer Polytechnic Institute's School of Science. His academic appointments include a primary affiliation with RPI where he maintains an active research program and teaches advanced mathematics courses including Numerical Computing, Multivariable Calculus, and Geophysical Fluid Dynamics. Lvov's research centers on mathematical physics and nonlinear phenomena, with particular focus on semiconductor laser theory, nonlinear and fiber optics, surface water waves, acoustic waves, and gas lasers. His work develops and applies weak turbulence theory to complex wave systems across diverse physical domains. Key research themes include energy transfer mechanisms in wave turbulence, thermalization processes in nonlinear lattices, and oceanic internal wave dynamics. His publication record reveals strong emphasis on ocean mixing mechanisms (2022-2025), with multiple papers explaining how interacting internal waves drive global ocean circulation patterns. Earlier work (2015-2020) established foundational connections between Fermi-Pasta-Ulam systems and wave turbulence theory. Current research integrates scale-separated modeling approaches with field data validation for climate prediction applications. NSF CAREER award in applied mathematics (2001) NSF Collaboration in Mathematical Sciences (2004) Lvov maintains active collaborations with oceanographers and physicists worldwide, particularly with Kurt Polzin on internal wave dynamics. His research combines theoretical development with numerical simulations and observational data analysis. Current projects focus on quantifying energy fluxes in oceanic internal waves and developing predictive models for climate systems. He leads computational efforts using wave turbulence frameworks to explain anomalous mixing patterns observed in global ocean datasets.

Majid Mahzoonمشاهده پروفایل

استادیار

• Network Economics
• Bayesian Persuasion
• Information Economics
• +۲ مورد دیگر

Dr. Majid Mahzoon is an Assistant Professor in the Department of Economics at the University of Central Florida's College of Business. His research bridges economics, information theory, and distributed systems. Research interests include: Network economics and information flow Bayesian persuasion in hierarchical organizations Performance indicator selection in incentive systems Energy-efficient distributed algorithms Quantum cryptography and information limits Recent publications examine pay-for-performance metric selection and vice presidents' role in Bayesian persuasion models. Earlier foundational work developed distributed learning algorithms and quantum key distribution bounds.

Gizem Acarمشاهده پروفایل

استادیار

• Nonlinear Dynamics
• Vibrations
• Fluid-Structure Interactions
• +۷ مورد دیگر

Gizem Acar is an Assistant Professor in the Department of Mechanical Engineering at Stevens Institute of Technology, affiliated with the Charles V. Schaefer, Jr. School of Engineering and Science. She earned her B.S. and M.S. from Bogazici University (2010-2012) and a Ph.D. from Michigan State University (2017), followed by postdoctoral work at the University of Maryland (2017-2020). Her research focuses on nonlinear dynamics and vibrations in systems like metamaterials, wind turbines, granular media, and fluid-structure interactions, with applications in energy forecasting and robotic locomotion. Education: PhD (2017), Mechanical Engineering, Michigan State University MS (2012), Mechanical Engineering, Bogazici University BS (2010), Mechanical Engineering, Bogazici University Research Interests: Her work explores programmable metastructures, vortex-induced vibrations in beams, noise-driven dynamics in oscillator arrays, and machine learning for energy output predictions. She investigates wave propagation in solids, granular media dynamics, and multi-stable systems influenced by noise. Publications: Recent work includes studies on cylindrical beams under combined excitations, AI-based renewable energy modeling, and noise-induced transitions in coupled oscillators. Her research bridges theoretical analysis (e.g., Floquet theory) with experimental methods (e.g., discrete element modeling). Awards: Early Career Mentor Award (2025), Stevens Institute of Technology Consistent recognition for excellence in teaching (2021-2024) Service & Grants: Co-PI on a U.S. Army contract about energy supply chain resilience. She chairs institutional committees on vibrations and dynamics education and serves on NSF review panels. Active in organizing ASME conferences and reviewing for journals like Nonlinear Dynamics and Journal of Sound and Vibration . Labs & Teams: Leads the Nonlinear Dynamics and Vibrations Research team at Carnegie Lab 213, focusing on experimental and computational studies of complex mechanical systems.

Yaning Liuمشاهده پروفایل

دانشیار

• Machine Learning
• Uncertainty Quantification
• Monte Carlo Methods
• +۵ مورد دیگر

Yaning Liu is an Associate Professor and Director of Statistical Programs at the Department of Mathematical & Statistical Sciences within the College of Liberal Arts and Sciences at the University of Colorado Denver. Their research focuses on surrogate modeling with machine learning, uncertainty quantification, Monte Carlo methods, hydrological modeling, and subsurface energy storage. Education: PhD in Applied and Computational Mathematics from Florida State University (2013), MS in same field (2011), BS in Information and Computational Science from Zhejiang University (2006) Yaning develops and teaches advanced courses including Monte Carlo Methods , Machine Learning Methods , and Uncertainty Quantification . Their work combines computational mathematics with energy system modeling, particularly for compressed air and CO2 storage applications in aquifers. Publications cover: Subsurface energy storage dynamics Multivariate sensitivity analysis Hybrid energy system modeling Environmental impact assessments Computational grouting materials Bayesian parameter inversion techniques They actively contribute to Open Educational Resources (OER) through co-authored textbooks like First Semester in Numerical Analysis with Python and Probability and Simulation: A Python Companion .

• Computational Fluid Dynamics
• Multiphase Flows
• Thermofluid Physics
• +۳ مورد دیگر

Anastasios Georgoulas is a Senior Lecturer and Deputy Director of Academic Communication in the Advanced Engineering Centre at the University of Brighton. He serves as Course Leader for Aeronautical/Aerospace Engineering, leading to the program's accreditation by IET and IMechE. His academic roles include leadership in research and education, with a focus on Multiphase Thermofluids and Computational Fluid Dynamics (CFD). Georgoulas holds a PhD in Numerical Simulation of Turbidity Currents from Democritus University of Thrace (2010), alongside advanced degrees in Structural and Hydraulic Engineering. His career includes Marie Curie Fellowships at the University of Bergamo and Caterpillar Inc., and adjunct roles at institutions like the International Hellenic University. Research Interests: Georgoulas' work bridges CFD, Multiphase Flows, Thermofluid Physics, and Heat Transfer across scales. He develops multi-scale models for diabatic/adiabatic flows, with applications in two-phase cooling systems (e.g., heat pipes, pulsating heat pipes) and aerodynamics. His research integrates high-resolution diagnostics for thermal and fluidic characterization. Grants & Funding: Georgoulas has secured £5.7M in funding, including a £408.5k Leverhulme Trust Grant (2022) and £2.9M EPSRC interdisciplinary grant (2022). Notable projects include biomimetic thermal management systems and space applications of heat pipes. Awards & Recognition: He is a Fellow of the HEA, a Full Member of the EPSRC Peer Review College, and part of the European Space Agency's Fluid Physics Facility Definition Team. His work has been highlighted in Nature Communications and earned Best Oral Presentation Awards at international conferences.