جست‌وجوی استاد و پژوهشگر

Khamid Mahkamovمشاهده پروفایل

استاد

• Renewable Energy
• Thermal Engineering
• Phase Change Materials
• +۳ مورد دیگر

Khamid Mahkamov is a Professor in Mechanical Engineering at Northumbria University , specializing in renewable energy systems and thermal engineering. With a career spanning over 30 years, he has held academic positions at Bauman Moscow Technical University (PhD), Academy of Sciences (USSR), University of Leeds (Research Fellow), and Durham University (Lecturer/Senior Lecturer in Thermofluids and Director of MSc in Renewable Energy). Current research focuses on phase change materials , solar thermal systems , and biomass energy Secured £202,688 (2023), €4M (2016), and other major grants as Principal Investigator Editorial board member for international energy journals and active in Energy Institute (UK) Membership Committee His recent publications analyze hybrid solar-biomass trigeneration , PCM thermal performance , and novel solar cooling systems . Key projects include EU Horizon 2020-funded INNOVA MICROSOLAR and ERASMUS+ educational initiatives. Supervised 14 PhD students with diverse international funding sources. Scientific Awards 2010 IMECHE Harold Disney Prize for best 2009 power industry paper

Danial Faghihiمشاهده پروفایل

استادیار

• Multiscale Computational Modeling
• Data-Driven Predictive Modeling
• Uncertainty Quantification
• +۴ مورد دیگر

Danial Faghihi is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo. His research focuses on multiscale computational modeling, data-driven predictive methods, and uncertainty quantification with applications in advanced manufacturing, thermal insulation materials, and biomedical systems. He holds a PhD from Louisiana State University and completed a postdoctoral fellowship at the University of Texas at Austin. Education: Postdoc, Computational Engineering, University of Texas at Austin (2015) PhD, Civil Engineering, Louisiana State University (2012) MS, Civil Engineering, Sharif University of Technology (2008) BS, Civil Engineering, K. N. Toosi University of Technology (2008) His research interests integrate advanced computational frameworks with experimental data to address challenges in materials science and biomedical engineering. Notable areas include predictive modeling of silica aerogels, stochastic surrogate models for uncertainty quantification, and tumor growth simulations using Bayesian methods. He has received prestigious awards such as the NSF CAREER Award (2022) and the SES Travel Award (2013). Recent work emphasizes dynamic data-driven approaches for real-time material damage prediction and scalable algorithms for multi-material design under uncertainty. His contributions span interdisciplinary collaborations in thermal management systems, carbon sequestration materials, and personalized oncology through computational oncology models. Key Honors: NSF CAREER Award (2022) SES Travel Award (2013) NSF Summer Institute Fellowship (2013) His research narrative includes development of novel surrogate models for high-dimensional systems and validation frameworks that bridge atomistic to continuum scales. While specific grants or lab affiliations are not detailed in the provided text, his work reflects sustained innovation in computational science and engineering applications.

Stavroulakis Georgiosمشاهده پروفایل

استاد

• Smart Structures
• Structural Engineering
• Vibration Control
• +۷ مورد دیگر

Stavroulakis Georgios is a Professor at the School of Production Engineering and Management, Technical University of Crete. His research focuses on smart structures, vibration control, finite element methods, and advanced materials. He leads interdisciplinary projects in structural mechanics, acoustics, and computational mechanics with applications in engineering systems and heritage preservation. Key areas include: (1) Development of robust control systems for smart structures, (2) Numerical modeling of masonry and composite materials, (3) Applications of artificial intelligence in structural analysis and material science. Office: Δ5.109, DPEM Building. Research activities emphasize: Active vibration suppression using piezoelectric systems and auxetic materials Advanced finite element analysis for biomedical and historical structures Data-driven computational methods for material characterization Acoustic comfort optimization in urban environments Structural health monitoring through physics-informed neural networks His work bridges traditional engineering disciplines with modern AI tools, addressing challenges in infrastructure resilience and sustainable design. Publications span smart materials innovation, nonlinear mechanics, and heritage building restoration.

John W. Dailyمشاهده پروفایل

استاد پژوهشی

• Combustion
• Space Propulsion
• Wildland Fire Dynamics
• +۳ مورد دیگر

Prof. John W. Daily is an Emeritus Research Professor in the Department of Mechanical Engineering at the University of Colorado Boulder. His research focuses on combustion science, space propulsion systems, wildland fire dynamics, biomass utilization, and medical instrumentation. He holds a B.S. and M.S. from the University of Michigan (1968-1969) and a Ph.D. from Stanford University (1975). Prior to his academic career, he worked at Aerojet Liquid Rocket Company as a Heat Transfer Analyst. He served as Chair of the Mechanical Engineering Department at CU Boulder from 1990 to 1995. His work on optical biopsy technology led to the founding of Precision Biopsy, a medical instrumentation startup. Key areas: Combustion chemistry, propulsion systems, medical device innovation Collaborations: Extensive multi-disciplinary research spanning engineering and biomedical fields Research interests emphasize understanding reacting systems to enhance safety, efficiency, and health applications. His publications span combustion diagnostics, biofuel analysis, and medical device development. His lab work includes pioneering micro-reactor technology for studying large molecule decomposition. Grants: Not specifically listed in available texts Advising: Retired from active advising but contributed to numerous past graduate students He maintains affiliations with industry through Precision Biopsy, focusing on cancer diagnostics via fluorescence spectroscopy. His contributions to both academic research and applied technology highlight his cross-disciplinary impact.

Nikola B. Dankovicمشاهده پروفایل

استادیار

• Systems Management
• Dynamical Systems Modeling
• Signal Processing
• +۳ مورد دیگر

Nikola B. Dankovic is an Assistant Professor at the Faculty of Electronics in Niš, part of the University of Niš, within the Department of Automation. He earned his PhD in Systems Management from the same faculty in 2018, following a Master's degree from the Faculty of Electronics' Department of Telecommunications in 2009. His academic career began with an appointment as an Assistant Professor in 2013, reaffirmed in 2020. Research interests include dynamical systems modeling, orthogonal filter design, control systems, and thermodynamic applications. He has contributed to fields like DPCM system analysis, nonlinear MIMO control, and cascade filter optimization. His work frequently integrates mathematical techniques such as Monte Carlo methods and bilinear transformations. Publications span journals like International Journal of Electronics , Acta Polytechnica Hungarica , and Filomat , focusing on theoretical and applied aspects of signal processing and systems engineering. He collaborates on national and international research projects, though no specific awards are noted. Contact information includes his email nikola.dankovic@elfak.ni.ac.rs and institutional address in Niš.

• Computational Fluid Dynamics
• Turbomachinery
• Pressure-Based Solvers
• +۲ مورد دیگر

Professor Luca Mangani leads the Computational Fluid Dynamics Group at Lucerne University's Institute of Mechanical Engineering and Energy Technology, specializing in pressure-based CFD solvers for industrial applications. Research Focus: Develops advanced numerical methods for turbomachinery and energy systems with emphasis on: Implicit pressure-based coupled algorithms Real gas modeling for compressible flows Adjoint optimization techniques Multiphase flow simulations Key Contributions: Pioneered all-Mach pressure-based solvers adopted by major turbomachinery manufacturers. Recent work includes: Discrete adjoint methods for design optimization Robust implementation of Reynolds stress models GPU-accelerated compressible RANS solvers Novel mixing plane interfaces Publication Trends: Articles demonstrate rigorous validation of computational methods against experimental benchmarks, particularly in pump-turbine and compressor applications, with focus on improving accuracy and convergence.

Axel Seerigمشاهده پروفایل

استاد

• Building Climate Engineering
• Building Simulation
• Sustainable Energy Concepts
• +۴ مورد دیگر

Axel Seerig is Professor of Building Climate and Building Technology at the Department of Technology and Architecture of Lucerne University of Applied Sciences and Arts (HSLU). He works at the Institute of Building Technology and Energy (IGE) and the Center for Integrated Building Technology, where he leads research and teaching in sustainable building concepts. With over 25 years of experience in building simulation and sustainable energy concepts for buildings, areas, and regions, he has established himself as a leading expert in climate-responsive building design. Seerig completed his studies in Process Engineering and earned his PhD in Thermodynamics at the Technical University of Berlin. His academic journey includes leadership roles as program director for Building Technology at the Austrian University of Applied Sciences Burgenland and senior researcher positions at AIT (Austrian Institute of Technology) and AEE-intec. His research focuses on the development of sustainable energy concepts using computer simulations for building climate control. He applies scientific principles of thermodynamics, heat transfer, and fluid mechanics through dynamic simulations in the disciplines of building climatic engineering and building simulation. His work emphasizes maximizing natural resources and user exposure to the outdoors through natural air conditioning, ventilation, and lighting, with human well-being as the central focus of planning. Current research includes energy efficiency in engineering systems for Central Asia, climate change adaptation in building design, and advanced data analysis for building performance assessment. His publication record shows a consistent focus on building energy efficiency, climate-responsive design, and simulation methods. Recent work emphasizes the integration of data analysis techniques like Monte-Carlo methods and artificial neural networks with traditional building simulation approaches. His research addresses critical challenges including climate change impacts on building performance, uncertainty in occupancy patterns, and the development of robust building concepts that maintain performance throughout their lifecycle. Seerig serves as an advisor in the Master of Science program MSE in Building Technologies and for doctoral studies at Middlesex University in London. He has received research funding through projects like SCCER FEEB&D (Swiss Competence Center for Energy Research) and has consulted internationally for the German Society for International Cooperation (GIZ) in Central Asia and Africa. He is an active member of the building science community, serving on the board of the International Building Performance Simulation Association (IBPSA), as a reviewer for the Austrian Research Promotion Agency (FFG), and as a member of professional organizations SIA and VDI. His work connects academic research with practical building projects, including notable collaborations with firms like Gruner AG on buildings such as the Roche OPAL office building, Siemens Headquarters Austria, and the Vienna Central Station.

Grosan Teodor Silviuمشاهده پروفایل

استاد

• Thermal Engineering
• Heat Transfer
• Nanofluids
• +۳ مورد دیگر

Prof. Dr. Grosan Teodor Silviu is a Professor at the Department of Mathematics, Faculty of Mathematics and Informatics, Babeș-Bolyai University Cluj-Napoca. His research focuses on heat transfer in nanofluids and porous media, with significant contributions to boundary layer analysis and convective flow dynamics. He led major grants including PN-II-RU-TE-3-0013 (2011-2014) investigating nanofluid applications in industrial heat transfer processes. Key collaborators include Dr. Radu Trimbitas, Dr. Alin Rosca, and Dr. Flavius Patrulescu. Over 15+ peer-reviewed articles were published during this period, addressing topics like thermal dispersion effects, mixed convection in vertical channels, and stagnation-point flow dynamics. He also developed a minicluster for computational experiments, enhancing numerical simulations of complex fluid dynamics problems. Research interests explicitly include nanofluid behavior in porous media, boundary layer phenomena, and heat transfer optimization. Teaching responsibilities include courses in theoretical mechanics, computational fluid dynamics (CFD), and numerical methods in mechanics. His work bridges applied mathematics and engineering, with applications in energy systems and material science.

Shukai Duمشاهده پروفایل

استادیار

• Numerical Analysis
• Scientific Machine Learning
• Inverse Problems
• +۶ مورد دیگر

Shukai Du is an Assistant Professor of Mathematics at Syracuse University , within the College of Arts and Sciences . Previously, he served as a Visiting Assistant Professor at the University of Wisconsin-Madison (2020–2024) and earned his Ph.D. in Applied Mathematics from the University of Delaware (2020). His research focuses on numerical analysis , scientific machine learning , and inverse problems , with expertise in discontinuous Galerkin methods , radiative transfer , and adaptive mesh refinement . He is also affiliated with his research website . Education: Ph.D., Applied Mathematics, University of Delaware (2020) M.S., Computational Mathematics, Wuhan University (2015) B.S., Pure Mathematics, Wuhan University (2012) Research Highlights: Dr. Du’s work emphasizes accelerating numerical methods via machine learning (element learning), developing goal-oriented hp-adaptive mesh refinement for inverse radiative transfer, and creating symplectic Hamiltonian finite element methods for electromagnetics. His methods prioritize accuracy, computational efficiency, and preservation of physical invariants. Recent Contributions: Recent publications address operator learning for finite element acceleration, adaptive-mesh inversion for inverse problems, and energy-conserving discretizations for Hamiltonian systems. His work bridges classical numerical methods and modern data-driven techniques. Awards: Wenbo Li Prize (2020, University of Delaware) Grants: "Breaking the 1D Barrier in Radiative Transfer: Fast, Low-Memory Numerical Methods for Enabling Inverse Problems and Machine Learning Emulators" (NSF, 2023–2026) "Convective Processes in the Tropics Across Scales" (NSF, 2024–2026) Labs/Teams: His research collaborates with computational scientists and applied mathematicians, focusing on interdisciplinary challenges in computational physics and data-driven modeling.

Raju Chowdhuryمشاهده پروفایل

پژوهشگر

• Multiphase Flow
• Heat Transfer
• CFD Modeling
• +۴ مورد دیگر

Dr. Raju Chowdhury is a Research Associate at the School of Engineering, University of Newcastle, Australia. He specializes in multiphase flow, heat transfer, and phase change phenomena, with a focus on sustainable steelmaking. His research involves computational fluid dynamics (CFD) modeling, experimental techniques, and collaboration with industry partners like BlueScope Steel. He holds a PhD in Chemical Engineering (2023) from the University of Newcastle and prior degrees from Bangladesh institutions, including an MPhil in Mathematics from BUET. Education: PhD (2023, University of Newcastle), MPhil (2016, BUET), MSc & BSc (Mathematics, University of Rajshahi). Professional experience includes roles as Assistant Professor and Lecturer at Stamford University Bangladesh (2011–2018). He has authored/co-authored over 20 publications in areas like nanofluid heat transfer, CFD modeling of steelmaking processes, and multiphase flow dynamics. His work addresses industrial challenges such as furnace wear reduction and coating formation mechanisms. Research interests span CFD, heat and mass transfer, multiphase flow, and solidification processes. Key projects include modeling slag splashing dynamics in steelmaking furnaces and investigating droplet impingement behavior. Awards include scholarships from the University of Newcastle and RTP stipend support. He collaborates with multidisciplinary teams and applies mathematical modeling to solve industrial problems. Current affiliations include the BHP Centre for Sustainable Steelmaking Research. His work bridges fundamental research and industrial applications, with contributions to both academic journals and conferences. He actively engages in teaching and mentorship, having previously instructed mathematics at undergraduate levels in Bangladesh.

Abdelouahab Dehbiمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics (CFD)
• Nuclear Engineering
• Thermal Hydraulics
• +۵ مورد دیگر

Dr. Abdelouahab Dehbi is a Senior Scientist at the Paul Scherrer Institute (PSI), Switzerland, affiliated with the Laboratory for Simulation and Modelling within the Center for Scientific Computing, Theory and Data. His research focuses on computational fluid dynamics (CFD), aerosol behavior, and severe accident analysis in nuclear systems. Key projects include the ARTIST initiative investigating aerosol retention in steam generators during severe accident scenarios. He specializes in modeling turbulence, multiphase flows, and thermal hydraulics with applications to nuclear reactor safety. Notable contributions include CFD-based studies on particle dispersion, condensation phenomena, and validation of safety codes against experimental data. Collaborations span international institutions, emphasizing experimental validation and code benchmarking. Research Contributions Development of stochastic and LES-based models for particle transport and deposition. Investigation of steam condensation dynamics in the presence of noncondensable gases. Leadership in the ARTIST project, yielding insights into SGTR (Steam Generator Tube Rupture) aerosol retention. Pioneering work on granular flow dynamics in pebble-bed reactors and hydrogen mitigation strategies. Key Collaborations Active in OECD/NEA CFD4NRS workshops and international projects like PHEBEN-2 and IPRESCA. His work bridges CFD simulations with experimental data from facilities like CESANE and PANDA. Future Work Ongoing focus on enhancing safety analyses through advanced CFD techniques, thermal radiation modeling, and validation of correlations for steam condensation under extreme conditions.

Hassam Nasarullah Chaudhryمشاهده پروفایل

دانشیار

• Renewable Energy Systems
• Heat Transfer
• Natural Ventilation
• +۶ مورد دیگر

Dr. Hassam Nasarullah Chaudhry is an Associate Professor and Director of Studies (Dubai) for Architectural Engineering at Heriot-Watt University's School of Energy, Geoscience, Infrastructure and Society. He holds a PhD from the University of Leeds (2013) and is a Chartered Engineer (CEng) and Fellow of the Higher Education Academy. His research focuses on sustainable engineering systems, heat transfer, natural ventilation, and passive cooling, with a particular emphasis on wind-driven energy and building aerodynamics. He has led projects such as the 'Urban Heat Island (UHI) effect in Dubai' funded by RCUK, and holds a UK patent for a 'Passive Cooling System for Wind Tower' (2015). His expertise includes computational fluid dynamics (CFD), thermal modeling, and low-speed wind tunnel design. He serves as Associate Editor for the International Journal of Ventilation and reviews for journals like Applied Energy and Energy and Buildings . His work contributes to UN Sustainable Development Goals related to sustainable cities and climate action. Education: PhD in Building Services Engineering (University of Leeds, 2013) Patents: PCT/GB2014/052263 (Passive Cooling System) Awards: Excellence in Engineering (2009/2010), Feedback Award (2017) Research Trends: Recent articles emphasize carbon-energy nexus in construction, photovoltaic cooling solutions, and occupant-centric building systems. His work bridges traditional and modern passive cooling techniques, with applications in hot climates like the UAE. Advising & Grants: Actively supervises PhD students and has secured grants for UHI research. Collaborates on wind tunnel facilities for teaching/research and serves on editorial boards for energy journals. Labs/Teams: Leads research in low-speed closed-loop wind tunnel facilities and sustainable built environment design teams.

Tadhg O'Donovanمشاهده پروفایل

استاد

• Green Technology
• Solar Energy
• Renewable Energy Systems
• +۳ مورد دیگر

Professor Tadhg O’Donovan is the Chief Scientist and Deputy Vice Principal (Academic Leadership) at Heriot-Watt University’s Dubai Campus, holding a Professorship in Mechanical Engineering. He earned a BSc (2001) and PhD (2005) from Trinity College Dublin, followed by roles as a Postdoctoral Research Fellow and Lecturer at Trinity before joining Heriot-Watt in 2007. He advanced to Associate Professor (2015) and Professor (2019), while leading the School of Engineering & Physical Sciences (Dubai) since 2018 and the Institute of Mechanical, Process, and Energy Engineering since 2021. Education: Bachelor’s in Mechanical & Manufacturing Engineering, Trinity College Dublin (2001) PhD, Trinity College Dublin (2005) His research focuses on Green Technology , particularly solar energy conversion, storage systems, and phase change materials . He emphasizes techno-economic approaches for renewable energy components, securing over £4M in grants as PI/Co-I, including Energy Catalyst and Knowledge Transfer Partnership projects. He established Renewable Energy Test Sites in Edinburgh and Dubai to optimize solar technologies under varied climatic conditions. Awards: EUROTHERM Young Scientist Award (2008) Grants & Collaboration: Secured £4M+ in research grants Industry partnerships for renewable energy systems Labs & Facilities: Manages the Renewable Energy Test Site, supporting solar device testing and renewable system optimization. Active in outreach, such as the 2015 'I'm an Engineer' Energy Zone event.

Omar Sharafمشاهده پروفایل

استادیار

• Solar Energy
• Thermal Sciences
• Energy Engineering
• +۹ مورد دیگر

Dr. Omar Sharaf is an Assistant Professor of Mechanical Engineering at the School of Engineering and Physical Sciences, Heriot-Watt University Dubai Campus since January 2023. His expertise lies in solar polygeneration systems and multi-phase flow modeling. He teaches courses in renewable energy, thermodynamics, and fluid mechanics at both undergraduate and postgraduate levels. Education: BSc in Mechanical Engineering (2013) - American University of Sharjah MSc in Mechanical Engineering (2015) - American University of Sharjah PhD in Mechanical Engineering (2020) - Khalifa University Research interests focus on developing smart particle-laden fluids for sustainable solar and thermal solutions, integrating them into polygeneration energy systems. Key areas include thermal sciences, energy engineering, CFD, colloid science, and multiphase flow modeling. His work aims to leverage the abundant solar resources in the MENA region for economical and sustainable energy solutions. Publications span solar nanofluids, phase-change materials, and photovoltaic/thermal collectors. He actively supervises MSc and PhD students, collaborates on grant writing, and engages in research partnerships. Notable collaborations include work on encapsulated phase-change materials and nano-encapsulated dispersions for solar applications. His contributions align with UN SDGs related to affordable clean energy (SDG7) and climate action (SDG13).

Nicolas Hudonمشاهده پروفایل

استادیار

• Process control and simulation in chemical engineering
• Systems control and automation
• Industrial systems engineering
• +۴ مورد دیگر

Nicolas Hudon is an Assistant Professor in the Department of Chemical Engineering at Queen's University, associated with Smith Engineering and the Faculties & Schools. His research focuses on physics-based modeling, estimation, optimization, and control of nonlinear chemical process systems, particularly integrating non-equilibrium thermodynamics into process systems engineering. Education: B.Ing. (2002) and M.A.Sc. (2004) from Polytechnique Montréal, PhD (2010) from Queen's University. Postdoctoral work included University of New South Wales (2010-2012) and Université catholique de Louvain (2012-2015). Research interests include process control, systems engineering, applied mathematics (calculus of variations), and mathematical physics. His work aims to develop distributed control strategies for chemical systems, with applications in tokamak reactors, multiphase systems, and sustainable processes. Affiliations: Canadian Engineering Education Association, American Society for Engineering Education, Canadian Society for Chemical Engineering, IEEE, and SIAM. Teaches courses like CHEE 905 (Advanced Thermodynamics) and CHEE 210 (Thermodynamics of Energy Conversion). Publications emphasize control design for thermodynamic systems, port-Hamiltonian modeling, and educational strategies in chemical engineering problem-solving.