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Dr. Mensi Neji is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Florida Institute of Technology. His research focuses on cybersecurity, wireless communications, and emerging technologies like Reconfigurable Intelligent Surfaces (RIS) and 5G/6G systems. He holds a PhD in Electrical Engineering from Howard University and combines academic expertise with industry experience in software engineering at Ooredoo and INTM. Education: PhD in Electrical Engineering (High Honors) - Howard University Research Interests: Dr. Neji’s work explores: Cybersecurity in wireless implantable medical devices (WIMDs) Physical Layer Security (PLS) in next-gen networks Metaverse security and RIS applications Secure protocols for vehicular communications (V2I) Publications: His recent work emphasizes securing emerging technologies such as NOMA networks, hybrid RF-FSO systems, and adversarial scenarios in vehicular and smart grid communications. Trends include leveraging machine learning for GPS jamming detection and optimizing secrecy rates through gradient algorithms. Awards: No scientific awards explicitly listed. Advising & Industry: While no advisees are listed, his industry experience includes software engineering roles. Research contributions include reviewing for IEEE Transactions and active membership in IEEE societies. Labs/Teams: Not explicitly mentioned in provided text.

• Cybersecurity
• Wireless Communications
• 5G/6G Networks
• +4 more

Iain Boyd is the H.T. Sears Memorial Professor of Aerospace Engineering Sciences at the University of Colorado Boulder and Director of the Center for National Security Initiatives. He holds a PhD in Aeronautics and Astronautics (University of Southampton, 1988) and a BSc in Mathematics (University of Southampton, 1985). His research focuses on hypersonic aerothermodynamics, electric propulsion, rocket plumes, and computational modeling of nonequilibrium gas and plasma dynamics. Boyd has held academic positions at the University of Michigan (2010–2019 as James E. Knott Professor), Cornell University (1993–2002), and NASA Ames Research Center (1989–1992). He leads the Nonequilibrium Gas and Plasma Dynamics Laboratory (NGPDL) and contributes to the Aerospace Mechanics Research Center (AMREC). His awards include the AIAA Thermophysics Award (2018), Fellowships from the Royal Aeronautical Society (2017) and American Physical Society (2014), and the Chief of Staff of the Air Force Award (2017). His research emphasizes advancing hypersonic vehicle technologies, plasma-based propulsion systems, and computational methodologies for extreme aerodynamic environments. Recent work addresses aerocapture trajectory optimization, plasma-driven cooling systems, and sensitivity analysis of hypersonic flow phenomena.

• Hypersonic Aerothermodynamics
• Electric Propulsion
• Plasma Dynamics
• +3 more

Muhammad Zeeshan Shakir is a Professor in the Department of Electronic and Electrical Engineering at the University of Glasgow's College of Science and Engineering. With over 120 publications spanning from 2007 to present, his career demonstrates sustained research excellence in wireless communications and networking technologies. His work bridges theoretical foundations with practical applications, particularly in next-generation communication systems. Professor Shakir's research interests focus on the cutting edge of wireless technology evolution. His work spans 5G/6G networks, non-terrestrial communications, Internet of Things, and machine learning applications in networking. Early in his career, he made significant contributions to cognitive radio and device-to-device communications, which laid the foundation for his current work on 6G architectures and non-terrestrial networks. His recent publications demonstrate a strategic expansion into AI-driven networking solutions, edge computing applications, and metaverse-enabling technologies. This research trajectory reflects both technical depth in wireless communications and adaptability to emerging technological paradigms. His publication portfolio shows a consistent pattern of impactful contributions, with recent work analyzing trends in airborne networks, reconfigurable intelligent surfaces, and multi-RAT selection in 5G/6G environments. These publications frequently address critical industry challenges including coverage extension, energy efficiency, and seamless connectivity across heterogeneous network environments. His work on emotion recognition at the edge and virtual metaverse environment development demonstrates expanding interdisciplinary reach. Professor Shakir has successfully mentored numerous PhD students including Yusufu Gambo, Ifiok Anthony Umoren, and Cezar Anicai, whose research spans smart learning environments, energy trading in microgrids, and federated learning applications. His collaborative approach is evident through extensive co-authorship networks, particularly with researchers at University of Glasgow and international institutions. His research has been supported through various grants focused on next-generation wireless systems, with particular emphasis on practical implementations that address real-world connectivity challenges. Current projects appear to focus on integrating AI with wireless infrastructure to create more adaptive, efficient, and user-centric communication systems.

• Wireless Communications
• 5G/6G Networks
• Non-Terrestrial Networks
• +6 more

Prof. Philip Lederer is a Professor of Numerical Analysis at the University of Hamburg’s Department of Mathematics. He holds a position within the Applied Mathematics (AM) group under the Faculty of Mathematics, Computer Science, and Natural Sciences. His research focuses on advanced numerical methods for partial differential equations, particularly finite element methods for fluid dynamics and elasticity problems. His work emphasizes pressure-robust discretizations, divergence-free schemes, and high-order methods for incompressible flows. Key contributions include hybrid discontinuous Galerkin methods, stress-based formulations for Stokes equations, and error estimation techniques. He collaborates on projects like the FWF-funded initiative P35931, exploring computational methods for poroelasticity and biomechanics. Prof. Lederer frequently presents at international conferences such as ENUMATH, ICIAM, and the European Finite Element Fair. His publications span topics from turbulence simulation to multiphase flow dynamics and photonic crystal modeling. Despite no explicitly listed awards, his active research and peer-reviewed contributions highlight his expertise in computational mathematics. He advises on FWF-funded projects and collaborates with institutions like Aalto University, TU Wien, and the Weierstrass Institute. His teaching includes advanced numerical analysis courses, and his lab focuses on developing robust, high-fidelity computational tools for engineering and scientific applications.

• Numerical Analysis
• Applied Mathematics
• Finite Element Methods
• +3 more

J.M. Floryan is a Professor in the Department of Mechanical and Materials Engineering at Western University. He holds a Ph.D. from Virginia Tech (1980) and completed postdoctoral work at Northwestern University (1981). His research focuses on fluid mechanics , particularly flow manipulation strategies using surface roughness, heating patterns, and boundary conditions, with applications across laminar-turbulent transition, microchannel transport, and turbulent structures. Education : M.Sc. (Warsaw Technical University, 1974), Ph.D. (Virginia Tech, 1980), Postdoctoral (Northwestern University, 1981) His research interests span hydrodynamic stability, spectral methods, immersed boundary conditions, natural/forced convection, and biomedical flows. Methodologies include spectral algorithms for moving boundary problems and stability analysis of spatially modulated systems. Recent work emphasizes flow control via grooves and heating , drag reduction, and energy-efficient fluid systems. The 15 most recent publications (2022-2020) explore thermally-induced streaks, wall vibration effects, wavenumber lock-in, droplet impact physics, and peristaltic pumping. These studies employ direct numerical simulations , spectral accuracy, and experimental validation, with keywords covering hydrodynamic stability , drag reduction , buoyancy convection , and microfluidics . Scientific accolades include Fellowships from the American Physical Society , ASME , and Canadian Academy of Engineering , alongside the Humboldt Research Prize and Canada Research Chair . He has held visiting appointments at institutions like Technion (Israel), Tokyo Metropolitan University (Japan), and Darmstadt Technical University (Germany). Teaching includes graduate courses on Hydrodynamics Stability , Computational Fluid Mechanics , and seminars on Heat Transfer . He advises PhD/Master’s students like Y. Wang and S. Shadman. Professional roles include President of the Canadian Society for Mechanical Engineering and leadership in international mechanics symposia.

• Fluid Mechanics
• Hydrodynamic Stability
• Spectral Methods
• +7 more

Ray Mentzer is a Professor of Engineering Practice at Purdue University's Davidson School of Chemical Engineering and serves as Executive Director of the Purdue Process Safety & Assurance Center. His career spans 28 years at ExxonMobil, focusing on oil and gas operations, safety, and process design, followed by academic roles at Texas A&M and Purdue. His research emphasizes preventing major industrial incidents and enhancing process safety through risk assessment and safety culture initiatives. Dr. Mentzer has been honored with the University of Illinois Distinguished Alumni Achievement Award and the Davidson School's Outstanding Chemical Engineer Award for his contributions to process safety and industry-academia collaboration. He leads the Process Safety & Assurance Center, which engages over 20 industry sponsors and conducts 25+ annual research projects. Research Focus: Process Safety, Risk Analysis, LNG Safety, Drilling Safety, Safety Culture Key Roles: Executive Director (Purdue Process Safety & Assurance Center), Senior Lecturer in Chemical Process Safety His work bridges industry and academia, addressing global challenges in process safety through technical leadership and education. He has authored numerous publications on hazard mitigation, regulatory compliance, and risk management strategies.

• Process Safety
• Risk Analysis
• Hazard Management
• +3 more

Joop Schaye is a Full Professor at Leiden University, affiliated with the Leiden Observatory within the Faculty of Science. His research focuses on galaxy formation, the intergalactic medium (IGM), and cosmological hydrodynamical simulations. He leads the FLAMINGO and COLIBRE projects, building on prior work with OWLS and EAGLE simulations. Role: Professor of Galaxy Formation and IGM Research Affiliation: Leiden Observatory, Faculty of Science Research & Group His group includes current PhD candidates (e.g., Jeger Broxterman, William McDonald) and postdocs (e.g., Victor Forouhar Moreno). Former students include Roi Kugel and Jorryt Matthee. Active collaborations involve MUSE surveys and Athena X-ray instrumentation. Awards Appointed member of the Royal Netherlands Academy of Arts and Sciences (KNAW) in 2025, recognizing his contributions to astrophysics. Teaching Teaches the Spring 2025 MSc course Large-scale structure and galaxy formation .

• Galaxy Formation
• Intergalactic Medium (IGM)
• Cosmology
• +3 more

Chiel van Heerwaarden is an Associate Professor of Meteorology at Wageningen University & Research. His work focuses on cloud dynamics, radiative transfer, and their impacts on climate processes. He leads projects on solar irradiance variability, convective cloud organization, and atmospheric modeling. He has received a NWO Vidi grant for his research on cloud shadows and radiative effects. His research integrates machine learning, large-eddy simulations, and observational data to advance understanding of boundary layer processes and climate feedbacks. Key research areas include: irradiance variability under broken clouds, 3D radiative effects in shallow cumulus clouds, and the interaction between clouds and land surface processes. He collaborates on field experiments like CloudRoots-Amazon22 and Fesstval, advancing multiscale modeling approaches. His team addresses challenges in kilometer-scale Earth system modeling and wildfire-atmosphere interactions. Recent achievements include developing efficient radiative transfer parameterizations and analyzing extreme weather phenomena like heatwaves linked to soil drought. He advises five PhD candidates on topics ranging from convective self-aggregation to forest fire plumes. His work bridges computational science and observational data to improve climate projections and atmospheric understanding. Grants: NWO Vidi Grant (2019) Labs/Teams: Meteorology and Air Quality Group at Wageningen University Key Projects: CloudRoots-Amazon22, Shedding Light on Cloud Shadows, Real-Weather Large Eddy Simulation

• Meteorology
• Climate Modeling
• Radiative Transfer
• +7 more

Cecile Devaud is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo's Faculty of Engineering. She leads the Turbulent Combustion Modeling Lab and is affiliated with Waterloo Engineering’s Fire Research Group and the Waterloo Institute for Sustainable Energy. Her research focuses on Computational Fluid Dynamics (CFD) for turbulent reacting flows, with applications in fire safety, automotive engineering, and sustainable energy systems. She holds a PhD in Turbulent Combustion from the University of Cambridge and has pioneered advancements in CFD modeling techniques like Conditional Source-term Estimation (CSE). Education: 1999: Doctorate in Turbulent Combustion, University of Cambridge, UK 1995: Bachelor's in Mechanical Engineering (Propulsion Systems), INSA Rouen, France 1995: Master's in Thermal Power-Gas Turbine Technology, University of Cranfield, UK Research Interests: Development of CFD models for turbulent combustion, fire safety engineering, soot formation, auto-ignition, and emissions reduction. Her work spans aerospace, automotive, and nuclear industries, with recent focus on two-phase flows and compartment fires. Lab & Partnerships: The Turbulent Combustion Modeling Lab collaborates with industry and global partners to advance combustion technologies. Current projects include oxyfuel combustion, MILD combustion, and fire risk analysis in residential and industrial settings. The lab actively seeks graduate students and sponsors. Recognition: Holds a US patent for 'Air hybrid engine with a plurality of air tanks' (with collaborators).

• Computational Fluid Dynamics (CFD)
• Turbulent Combustion Modelling
• Fire Safety Engineering
• +7 more

Haylee Archer is a Researcher at the School of Earth and Space Exploration, Arizona State University (ASU), specializing in astrophysics with a focus on molecular clouds and star formation in dwarf irregular galaxies. She is a graduate student under Dr. Rogier Windhorst, currently pursuing a PhD in Astrophysics. Her research leverages observations from major telescopes like ALMA, Herschel, and the Lowell Discovery Telescope to study the WLM galaxy, addressing questions about star formation mechanisms in low-metallicity environments. Education: PhD in Astrophysics (in progress), Arizona State University MA in Science Teaching, Northern Arizona University (2019) BS in Physics, University of North Dakota (2017) Research Interests: Molecular clouds and star formation in dwarf galaxies Low-metallicity environments and their role in galactic evolution CO cores and dark gas dynamics Galaxy cluster dynamics and interstellar medium studies Her work bridges observational astrophysics and education, with recent publications analyzing planet formation pedagogy and engineering curricula in out-of-school programs. She has operated the 4.3m Lowell Discovery Telescope and contributes to large-scale surveys like PEARLS and LITTLE THINGS.

• Astrophysics
• Galaxy Formation
• Star Formation
• +3 more

Erin Bachynski-Polić is a Professor in the Department of Marine Technology at the Norwegian University of Science and Technology (NTNU). Her research focuses on offshore renewable energy systems, particularly the design and analysis of fixed and floating support structures for wind turbines, hydroelasticity, and optimization of marine systems. She leads several major projects including WAS-XL, Green Energy at Sea, and WINDMOOR, addressing challenges in mooring systems, extreme loading, and floating wind farm layouts. Education includes a Ph.D. from NTNU (2014), an M.S. and B.S.E. from the University of Michigan (2010 and 2009), specializing in Naval Architecture and Marine Engineering with a mathematics minor. Her teaching spans marine dynamics, ocean structure design, and offshore wind courses. Research interests emphasize advancing hydrodynamic and structural models for floating turbines, wake steering techniques, and environmental load analysis. Notable contributions include validation of Morison force formulations, mooring optimization, and storm impact studies. Projects like SFI BLUES and FLOAWER aim to develop next-generation floating support structures for large-scale offshore wind energy.

• Offshore Renewable Energy
• Marine Technology
• Wind Power
• +3 more

Dimitrios Rozakis is an Assistant Professor of Mechanical and Aerospace Engineering. He is actively engaged in research and teaching at the College of Engineering, where he leads the Aerodynamics & Propulsion Laboratory . Education PhD in Aerospace Engineering, National Technical University of Athens (2012) MSc in Fluid Mechanics, University of Manchester (2008) Diploma in Mechanical Engineering, Aristotle University of Thessaloniki (2006) Research Interests His research spans computational and experimental aerodynamics , with particular emphasis on: Transonic and supersonic flows Flow control using plasma actuators Hypersonic boundary-layer transition Reduced-order modelling and machine-learning techniques Turbomachinery aerodynamics Recent work has focused on high-fidelity simulations of buffet phenomena, experimental investigations of plasma-based separation control, and the development of data-driven surrogate models for unsteady aerodynamic loads. Selected Scientific Awards ASME Best Paper Award (2020) European Research Council Starting Grant (2018) AIAA Young Investigator Award (2016) Students, Grants & Funding He currently supervises three PhD students—Maria Koutsogianni, Panagiotis Giannakakis, and Eleni Christoforou—working on projects funded by the ERC, Horizon Europe, and the Greek Secretariat for Research & Technology. Active grants include an ERC Starting Grant on “Physics-informed machine learning for unsteady aerodynamics” (€1.5 M) and a Horizon Europe project on “Green regional aircraft technologies” (€4.2 M). Laboratory & Collaborations He directs the Aerodynamics & Propulsion Laboratory , which houses low-speed and transonic wind tunnels, a Ludwieg-tube facility for short-duration hypersonic experiments, and a high-performance computing cluster (>2 000 CPU cores). Ongoing collaborations include the von Karman Institute, DLR, and ONERA.

• Aerospace Engineering
• Fluid Dynamics
• Aerodynamics
• +3 more

Mulu Bayray Kahsay is a Researcher at the Department of Electric Energy, Norwegian University of Science and Technology (NTNU). Previously, he served as an Associate Professor at Mekelle University, Ethiopia. He holds a PhD (Dr. techn.) from Vienna University of Technology, Austria. His research focuses on renewable energy technologies, including solar energy systems in Nordic climates, thermal energy storage integration, and optimizing wind farm performance. He is a core member of the Team Solar Energy Technology Network (EnergyNET), a NORHED II project advancing off-grid energy solutions for heating and cooling with thermal storage. His teaching includes courses like ELDI 1001 Renewable Energy Informatics and specialized graduate courses in Wind Energy, Solar Technologies, and Experimental Methods. Supervision activities include MSc theses on renewable energy systems for schools/farms and PhD projects addressing wind turbine aerodynamics, solar industrial heat systems, and wind farm performance analysis. Research collaborations span validation of wind climatology models in Ethiopia, biomass stove efficiency studies, and solar fryer innovations for sustainable cooking. His work bridges laboratory solutions with field applications, emphasizing cost-effective renewable energy deployment in diverse contexts.

• Renewable Energy
• Solar Energy
• Wind Energy
• +4 more

Tian Li is an Adjunct Associate Professor at the Department of Energy and Process Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). Based at the Varmeteknisk building on the Gløshaugen campus, Dr. Li is affiliated with the ComKin Group and has been actively involved in numerous research projects focused on biomass conversion and combustion technologies since 2011. Dr. Li's research primarily focuses on: Biomass gasification and combustion technologies Computational Fluid Dynamics (CFD) modeling of energy conversion processes Multiphase flow and reaction kinetics in thermochemical processes Turbulence modeling in combustion systems Development of simulation tools for bioenergy applications Over the past decade, Dr. Li has led or contributed to multiple significant research projects funded by the Norwegian Research Council and industrial partners, including BioCarbUp, GASPRO, GrateCFD, GAFT, BioCarb+, CenBio, and GasBio. These projects have focused on optimizing biomass conversion processes for sustainable energy production. Dr. Li's publication record shows consistent contributions to high-impact journals in the energy and combustion fields, with a strong emphasis on computational modeling approaches. The research demonstrates expertise in developing and validating models for biomass conversion processes, with applications ranging from industrial-scale biomass furnaces to fundamental particle-level phenomena. Dr. Li has developed significant expertise in various computational tools and programming languages: Software: OpenFOAM, ANSYS Fluent, ANSYS ICEM CFD, Star-CD, MFiX, CHEMKIN, LOGEsoft, LabVIEW Programming: C/C++, Python, Fortran, Matlab Through participation in major research centers like CenBio (Bioenergy Innovation Centre), Dr. Li has contributed to advancing Norway's bioenergy research capabilities and fostering collaboration between academia and industry in the sustainable energy sector.

• Biomass Gasification
• Computational Fluid Dynamics
• Combustion Engineering
• +5 more

Md Nafiz Chowdhury is a Senior Research Associate and Research Fellow at the University of Oxford, where he leads the Engine Component Aerothermal Test (ECAT) Facility at the Oxford Thermofluids Institute. He holds a College Lecturership in Engineering Science at Lincoln College. His expertise spans turbine aerodynamics, gas turbine heat transfer, and advanced measurement techniques such as Infrared thermography and Pressure-Sensitive Paint (PSP). Nafiz earned his BSc, MSc, and PhD, with his doctoral work at Texas A&M University under Professor Je-Chin Han focusing on cooling technologies and additive manufacturing applications in gas turbines. Education: BSc in Engineering MSc from University of North Dakota (USA) PhD from Texas A&M University (USA) His research interests emphasize novel cooling solutions for turbine components, additive manufacturing (e.g., Direct Metal Laser Sintering), and turbulence measurement techniques. He collaborates with industry leaders including Rolls-Royce, Siemens Energy, and Honeywell Aerospace, driving high-technology readiness research and validation. Nafiz actively reviews for top journals and conferences, contributing to academic rigor in the field. Key awards include the Texas A&M Energy Institute Fellowship (2016), ASME’s International Gas Turbine Institute Student Award (2012, 2016), and the James J. Cain Outstanding Graduate Student Award (2016). His work bridges experimental and computational methods, addressing critical challenges in gas turbine efficiency and thermal management.

• Turbine Aerodynamics
• Gas Turbine Heat Transfer
• Computational Fluid Dynamics (CFD)
• +3 more