جست‌وجوی استاد و پژوهشگر

Regina Hitzenbergerمشاهده پروفایل

استاد

• Physical properties of atmospheric aerosols
• Cloud condensation nuclei (CCN)
• Diesel soot and biomass soot
• +۲ مورد دیگر

Univ.-Prof. Dr. Regina Hitzenberger is a Professor at the University of Vienna's Faculty of Physics, Department of Aerosol Physics and Environmental Physics. Her research focuses on atmospheric aerosols, including their physical properties, climate effects, and health implications. She has led projects such as the VACES system development for CCN analysis (2013–2014) and studies on ice nucleation of carbonaceous particles (2014–2018). Her research interests include cloud condensation nuclei (CCN), diesel/biomass soot, and radiative properties of aerosols. She has published extensively (over 140 papers) on topics like aerosol measurement techniques, climate impacts, and historical exposure assessments. Notable collaborations include work on brown carbon and elemental carbon (EC) in household emissions and legacy pollution. Dr. Hitzenberger has presented invited talks on aerosols and climate change, and her work bridges environmental monitoring, analytical chemistry, and climate science. Her CV and publications are available for download from her profile page.

Andrea Mentrelliمشاهده پروفایل

دانشیار

• Extended Thermodynamics
• Mathematical Physics
• Hyperbolic Equations
• +۴ مورد دیگر

Andrea Mentrelli is an Associate Professor of Mathematical Physics at the Department of Mathematics, University of Bologna, and Scientific Coordinator of the Alma Mater Research Center on Applied Mathematics (AM²). He holds a MS in Nuclear Engineering and a PhD in Mechanics of Materials from the University of Bologna. His research focuses on Extended Thermodynamics, High-Performance Computing (HPC), and computational modeling of plasma and fluid dynamics. Key roles include leadership in projects such as PRIN2022 (Mathematics of Nonlinear Wave Propagation) and Combustion-Wave Interactions. He is affiliated with INFN Bologna Section and AM². Notable contributions include shock wave analysis, hyperbolic models for incompressible fluids, and fractional calculus applications in viscoelasticity. His work combines theoretical rigor with numerical methods, addressing challenges in plasma physics, astrophysics, and materials science. **Education:** MS in Nuclear Engineering, PhD in Mechanics of Materials (University of Bologna). **Affiliations:** AM², INFN Section Bologna. **Research Projects:** Over 10+ grants including PRIN2022 and EU-funded initiatives. Extensive publications in journals like *Phys. Rev. D*, *Annals of Physics*, and *Journal of Computational Physics*.

• Renewable Energy Systems
• Nanomedicine
• Cancer Therapy Modeling
• +۴ مورد دیگر

Madjid Soltani is an Adjunct Assistant Professor specializing in interdisciplinary research at the intersection of energy systems, biomedical engineering, and computational modeling. His work focuses on renewable energy storage technologies, nanomedicine, and personalized cancer therapies. He explores innovative solutions for energy transition challenges, including hydrogen production, battery advancements, and exergoeconomic assessments of energy systems. In biomedical applications, his research addresses drug delivery systems, tumor microenvironment modeling, and radiopharmaceutical therapies. His contributions span theoretical frameworks, computational simulations, and experimental validations. Key research interests include energy storage (e.g., compressed air, liquid air), theranostics, computational oncology, and exergoeconomic analysis. He has published extensively on topics such as biomass integration in energy systems, CRISPR-driven biosensors, and microfluidic tumor models. His work often bridges engineering and healthcare, emphasizing sustainability and precision medicine. Despite no explicit institutional affiliation listed, his research collaborations likely involve multidisciplinary teams in academia and industry. Research Themes: Renewable energy systems, nanomedicine, computational modeling, cancer therapy, exergoeconomics. Notable Contributions: Development of spatiotemporal models for radiopharmaceutical transport, optimization of energy storage frameworks, and bio-inspired thermal efficiency solutions.

Qinfu Houمشاهده پروفایل

مدرس

• Heat and Mass Transfer
• Multiphase Flows
• Granular Flow Stability
• +۲ مورد دیگر

Qinfu Hou is a Lecturer and Research Fellow in Monash University's Department of Chemical and Biological Engineering. His research develops multiscale modeling techniques to understand granular and multiphase flows for energy-efficient processes across chemical, metallurgical, and environmental applications. Research areas include heat/mass transfer in fluidized beds, multiphase flow dynamics, granular segregation, numerical method development, and cloud-based process optimization. With over 70 publications and A$2.5M+ in research funding, Hou has developed virtual reactor models and process scaling approaches adopted in metallurgy and materials processing. His work on solar evaporators and waste valorization demonstrates commitment to sustainable engineering solutions. Notable mentorship outcomes include students receiving the Fell Consulting Prize (Jannatul Azmir), JITRI Fellowship (Yongli Wu), and Best Engineering Thesis in Brazil (Lucas Massaro Sousa). His publications show consistent themes: 1) Computational modeling of industrial reactors, 2) Particle-fluid interaction mechanics, 3) Process intensification strategies, and 4) Sustainable resource recovery. Recent work advances solar desalination and biomass processing technologies.

Tjeerd V. olde Scheperمشاهده پروفایل

استاد

• Dynamic Systems
• Neurocomputation
• Biological Systems Modeling
• +۳ مورد دیگر

Dr. Tjeerd V. olde Scheper is a Professor and Research Lead in Computing at the School of Engineering, Computing, and Mathematics, Oxford Brookes University. He specializes in Dynamic Systems and Neurocomputation, focusing on biological problem-solving mechanisms and their applications in engineering, health, and medical fields. His notable contributions include the Rate Control of Chaos (patented) for stabilizing complex systems and Criticality Analysis for machine learning and biological data analysis. He leads the UG Computing Programmes and supervises PhD/MSc students in biomodelling and AI. Education: Holds MSc and PhD degrees in relevant disciplines (details unspecified). Active in research grants including DASA (£90k, 2020), Newton Fund (£97k, 2018), and multiple HEIF grants. Collaborates with institutions globally through projects like CARDIGAN (diabetic gait analysis) and [SENTIENT] (intelligent decision support). Research interests span bio-inspired control systems, nonlinear dynamics, and AI applications in healthcare. His work bridges computational models with real-world challenges in robotics, biomedical engineering, and environmental control (e.g., wind turbines, combustion engines). He contributes to interdisciplinary groups like CAVEPET, VAIL, and the Machine Learning & Robotics Group. Grants/Awards: Secured £90k+ from DASA and £97k+ from the Newton Fund. HEIF grants for wind turbine and engine control projects (2011–2012). Member of AAAS, IEEE, and neuroscientific societies. Consultancy roles include workshops on AI for diabetes and neural networks. Advising & Labs: Supervised Salman Khan (2023). Affiliated with CAICS, MOReS, DASOBU, and AIDAS. Leads projects like Map-to-Human Research Roadmap (NASA-funded, 2024–2026), emphasizing applied AI and movement science.

Devesh Ranjanمشاهده پروفایل

استاد

• Fluid Mechanics
• Shock Waves
• Turbulent Mixing
• +۴ مورد دیگر

Devesh Ranjan is a Professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology, holding a courtesy appointment in the Daniel Guggenheim School of Aerospace Engineering. He currently serves as the Eugene C. Gwaltney, Jr. School Chair and co-director of the University Consortium for Applied Hypersonics (UCAH). His research focuses on fluid mechanics, shock dynamics, turbulent mixing, and energy systems, with applications in hypersonics, combustion, and solar thermal energy storage. Ranjan has led numerous initiatives, including roles as Interim Vice-President for Interdisciplinary Research and leadership in the National Academy of Engineering’s Frontiers in Engineering programs. Education: Ph.D. (2007), M.S. (2005) from University of Wisconsin-Madison; B.E. (2003) from National Institute of Technology-Trichy. His work bridges academia and industry, with contributions to granular flows, shock tube experiments, and multiphase systems. Research emphasizes extreme conditions like hypersonic flows and turbulent mixing, leveraging advanced diagnostics and computational models. His articles explore topics like Rayleigh-Taylor instabilities, supercritical CO₂ heat exchangers, and blast-driven turbulence. Awards include ASME Fellowship, NSF CAREER Award, and DOE Early Career Award. He advises students and mentors across mechanical engineering, leading high-impact projects such as UCAH’s $100M DoD-funded consortium. His teaching accolades include the Governor’s Teaching Fellowship and recognition for DEI contributions.

Zhuomin Zhangمشاهده پروفایل

استاد

• Heat Transfer
• Combustion
• Energy Systems
• +۷ مورد دیگر

Zhuomin Zhang is the J. Erskine Love, Jr. Professor at the Georgia Institute of Technology, holding a joint appointment in the George W. Woodruff School of Mechanical Engineering. His research focuses on micro/nano-scale heat transfer, thermophysical properties, and nanoscale thermal radiation, with applications in energy systems, materials science, and photonics. He leads the Nanoscale Thermal Radiation Laboratory and has contributed to advancements in thermophotovoltaic devices and radiative cooling technologies. Educational Background: Ph.D., Mechanical Engineering, Massachusetts Institute of Technology (1992) M.S., Engineering Mechanics, University of Science and Technology of China (1985) B.S., Engineering Mechanics, University of Science and Technology of China (1982) Research Interests: Thermal radiation mechanisms at micro/nanoscales Engineered surfaces for thermal energy applications Thermophotovoltaic systems and energy conversion Material characterization for solar and thermal systems Awards and Honors: Fellow, American Physical Society (2015) Fellow, American Association for the Advancement of Science (2011) ASME Heat Transfer Memorial Award (2015) AIAA Thermophysics Award (2021) Advising and Grants: Supervised over 30 graduate students, including award-winning advisees like Trevor Bright and Bong Jae Lee Funded by NSF, NIST, and industry partners Labs and Teams: Nanoscale Thermal Radiation Laboratory: Focuses on advanced thermal metrology and device design Leadership roles in ASME, AIAA, and international conferences

Matthew Hallمشاهده پروفایل

استاد

• Engine Combustion
• Thermal Fluids Systems
• Emissions Reduction
• +۷ مورد دیگر

Matthew Hall is a Professor in the Department of Mechanical Engineering at the University of Texas at Austin, holding the Louis T. Yule Fellowship in Engineering. He has been on the College of Engineering faculty since 1991, specializing in engine combustion processes, emissions reduction, and alternative fuels. His research includes engine controls, optical measurement techniques, spark ignition characterization, waste heat recovery, and lithium ion battery safety. He has published over 150 technical articles and serves as an Associate Editor for the Society of Automotive Engineers' International Journal of Engines. Key research areas include improving diesel engine efficiency via the Rotating Liner Engine (RLE) technology (reducing fuel consumption by up to 35% at idle), optimizing thermoelectric generators for vehicle exhaust heat recovery, and exploring ammonia as a low-carbon fuel. He also investigates combustion-energized thermoelectric systems to extend drone flight range. Notable awards include Fellow of the Society of Automotive Engineers. His teaching focuses on thermodynamics, including power cycle modeling and HVAC systems. Recent publications emphasize cold start emissions, spark plug energy deposition, and ammonia-coal co-firing for emissions control. His work spans experimental studies, computational modeling, and interdisciplinary applications in energy sustainability.

Brandon Rotaveraمشاهده پروفایل

دانشیار

• Combustion Chemistry
• Biofuel Chemistry
• Reaction Mechanisms
• +۳ مورد دیگر

Brandon Rotavera is an Associate Professor at the University of Georgia's School of Chemical, Materials & Biomedical Engineering. His research focuses on combustion chemistry, biofuel oxidation mechanisms, and the role of Criegee intermediates in atmospheric processes. Key areas include oxygenated fuel chemistry, reaction kinetics under low-temperature conditions, and applying machine learning to spectroscopic analysis. He holds a CAREER award for studying cyclic ether intermediates in combustion. Education: Ph.D. in Chemical Engineering (not specified). Research Interests: Combustion reaction mechanisms of hydrocarbons and biofuels Oxidation pathways and aerosol formation in low-temperature combustion Photoionization and vacuum-ultraviolet (VUV) spectroscopy for molecular analysis Conformer-dependent reactivity of Criegee intermediates Machine learning applications in chemical kinetics modeling Recent Trends in Publications: Rotavera's work emphasizes oxygen-dependent reaction mechanisms, stereochemical effects in radical chemistry, and the development of predictive models for biofuel ignition. He has pioneered studies on cyclic ether intermediates (e.g., oxetanyl radicals) and their roles in energy sustainability. Awards: National Science Foundation CAREER Award (2021) Advising/Grants: No specific advisees listed, but active in securing grants for combustion chemistry research. Collaborates with experimental facilities like jet-stirred reactors and shock tubes. Labs/Teams: Conducts research in UGA's combustion and spectroscopy labs, focusing on advanced measurement techniques and interdisciplinary approaches to energy systems.

Zhandong Wangمشاهده پروفایل

پژوهشگر

• Combustion Chemistry
• Alternative Fuels
• Kinetic Modeling
• +۳ مورد دیگر

Zhandong Wang is a Research Scientist at King Abdullah University of Science and Technology (KAUST), Saudi Arabia, affiliated with the Clean Combustion Research Center. His research focuses on experimental and kinetic modeling of combustion processes, alternative fuels, and pyrolysis mechanisms. He holds a Ph.D. in Thermophysics from the University of Science and Technology of China (2014) and has held postdoctoral and research positions at KAUST since 2013. Education : Doctor of Engineering in Thermophysics, University of Science and Technology of China (2008–2014) His research interests include fuel surrogate development, low-temperature oxidation kinetics, and the combustion chemistry of alternative fuels. Notable contributions include studies on ethylcyclohexane, dimethyl ether, and pyrrolidine decomposition mechanisms. His work integrates experimental data with detailed kinetic modeling to elucidate reaction pathways and improve combustion efficiency. Wang has received prestigious awards such as the Bernard Lewis Fellowship (2014) and multiple scholarships from the Chinese Academy of Sciences and Ministry of Education. His publications span high-impact journals like Combustion and Flame and Proceedings of the Combustion Institute , emphasizing experimental validation and computational modeling. Key Research Areas : Combustion Chemistry, Alternative Fuels, Pyrolysis Modeling, Reaction Kinetics

Lynn R. Mazzoleniمشاهده پروفایل

دانشیار

• Atmospheric Aerosols
• Climate Science
• Mass Spectrometry
• +۵ مورد دیگر

Lynn R. Mazzoleni is an Associate Professor of Chemistry at Michigan Technological University, where she conducts cutting-edge research on atmospheric aerosols and their climate impacts. She is affiliated with the Great Lakes Research Center and leads research initiatives at the Pico Mountain Observatory in the Azores. Her work focuses on identifying organic aerosol constituents from various atmospheric environments using advanced mass spectrometry techniques. Dr. Mazzoleni earned her PhD from the University of Nevada, Reno. Her academic journey has positioned her as a key researcher in atmospheric chemistry, with particular expertise in aerosol characterization and climate interactions. Dr. Mazzoleni's research primarily investigates the chemical, physical, and radiative properties of atmospheric aerosols. Her work centers on understanding how organic components of aerosols affect climate through direct and indirect mechanisms. Using ultrahigh-resolution mass spectrometry, her team identifies molecular compositions of atmospheric organic matter in biogenic secondary organic aerosol, ambient aerosol, and clouds. She explores new liquid chromatography column chemistries for fast and thorough separations of complex mixtures and investigates aqueous reaction pathways in atmospheric processes. Analysis of Dr. Mazzoleni's recent publications reveals a strong focus on wildfire smoke chemistry, aerosol-cloud interactions, and advanced analytical techniques for characterizing complex organic mixtures. Her work spans atmospheric science, analytical chemistry, and climate research, with particular emphasis on understanding how aerosols influence Earth's radiation budget. The research demonstrates increasing sophistication in molecular characterization methods and growing attention to the impacts of biomass burning on atmospheric composition. Dr. Mazzoleni has successfully secured multiple competitive grants, primarily from the National Science Foundation, to support her research. She has mentored several graduate students including Matthew Brege (who received a NASA Earth and Space Science Fellowship) and Dr. Yunzhu Zhao (2014 PhD in Environmental Engineering). Her research group collaborates extensively with scientists across institutions and participates in major field campaigns at locations including the Pico Mountain Observatory. Dr. Mazzoleni leads a research group focused on atmospheric aerosol analysis and is actively involved with the Great Lakes Research Center. She co-developed a turbulent cloud chamber facility at Michigan Tech to study aerosol-cloud interactions under controlled conditions. Her team maintains a large database of molecular observations from ambient and laboratory studies to unravel the complex nature of atmospheric aerosols.

Dawid Hanakمشاهده پروفایل

استاد

• Carbon Capture and Storage (CCS)
• Decarbonization Technologies
• Renewable Energy Systems
• +۳ مورد دیگر

Dawid Hanak is a Professor at Teesside University, focusing on decarbonization technologies within the Net Zero Industry Innovation Centre. His research emphasizes carbon capture, utilization, and storage (CCUS), particularly using calcium looping and thermochemical processes. He explores strategies to transform fossil fuel-based systems into low-carbon or negative-emission technologies, with applications in power generation, industrial clusters, and renewable energy integration. Key research areas include CO2 capture via calcium looping, biomass utilization for negative emissions, and techno-economic feasibility of renewable energy systems. He has published extensively on topics like solar photovoltaic systems, energy efficiency optimization, and machine learning for anomaly detection in industrial settings. His work bridges experimental analysis, computational modeling, and policy-related stakeholder engagement. Recent studies highlight his focus on hybrid energy systems, demand response strategies, and decarbonization pathways for industrial sectors. His publications often address real-world implementation challenges, such as cost-benefit analyses and scalability of CCUS technologies. Hanak is actively involved in guiding PhD students and collaborates across disciplines to advance net-zero solutions.

• Thermometry
• Hypersonic Flow
• Combustion
• +۵ مورد دیگر

Sean Patrick Kearney is a Professor of Aerospace Engineering at the University of Illinois. His research focuses on advanced laser diagnostics for high-speed flows, combustion processes, and plasma physics. He specializes in techniques such as Coherent Anti-Stokes Raman Scattering (CARS), thermometry, and laser-induced fluorescence to study hypersonic flows, shock waves, and soot formation in flames. Recent work includes studies on plasmatron thermal measurements, hypersonic shock interactions in shock tunnels, and soot volume fraction analysis in turbulent jet flames. His research has applications in aerospace propulsion systems and combustion optimization. Collaborations involve institutions like the American Institute of Aeronautics and Astronautics (AIAA). No formal awards or grants are listed in the provided text. No advising records or lab affiliations are explicitly mentioned, though his publications suggest involvement in experimental fluid dynamics and combustion diagnostics.

Congbo Songمشاهده پروفایل

پژوهشگر

• Air Pollution
• Machine Learning
• Environmental Science
• +۳ مورد دیگر

Dr. Congbo Song is a Senior Research Scientist in Data Science and Analytics for Atmospheric Air Pollution at the National Centre for Atmospheric Science (NCAS) within the University of Manchester's Department of Earth and Environmental Science. He specializes in source emissions, source apportionment, air pollution, and machine learning applications in environmental science. His work focuses on understanding the impacts of emissions from vehicles, coal combustion, and biomass burning on air quality and human health. He has coordinated large field campaigns in the UK and China, including Arctic research cruises, and contributed to major projects like SEANA and COP-AQ. Education: Doctor of Engineering (Nankai University, 2019), Master of Engineering (Nankai University, 2015), Bachelor of Engineering (Beijing University of Science & Technology, 2012) Research Interests: Real-time source apportionment using single-particle mass spectrometry, causal inference for air quality management, and data-driven models for net-zero emissions. He has authored/co-authored over 40 peer-reviewed papers with 2,800+ citations and an H-index of 21. His work contributes to UN Sustainable Development Goals related to climate action and clean energy. He is part of the Manchester Environmental Data Analytics Lab (MEDAL), collaborating on advanced instrumentation and multivariate data analysis techniques.

• Aerospace Engineering
• Fluid Dynamics
• Thermal Sciences
• +۷ مورد دیگر

Gregory S Elliott is a Professor in the Department of Aerospace Engineering at the University of Illinois Urbana-Champaign (UIUC), where he has held faculty positions since 2003. He previously served as an Assistant and Associate Professor at Rutgers University. His academic roles include Associate Head for Undergraduate and Graduate Programs (2010–2014, 2016–2018) and Interim Department Head (2019–2020). Education: B.S. (Mechanical Engineering, Ohio State University, 1987), M.S. (1989), and Ph.D. (1993), all from Ohio State University. Postdoctoral research followed at Ohio State (1993–1995). Research Interests: Experimental thermal/fluid sciences focusing on aerodynamics, supersonic/subsonic flows, turbulence, combustion, and plasma interactions. Specializes in optical diagnostics (e.g., filtered Rayleigh scattering, CARS) for high-speed flows and plasma dynamics. Publications: Over 100 peer-reviewed articles in journals like AIAA Journal , Physics of Fluids , and Combustion and Flame . Recent work includes studies on supersonic base flows, plasma-assisted combustion, and flow control using laser energy deposition. Awards/Honors: NSF CAREER Award (1998), AIAA Teacher of the Year (2006), multiple AIAA paper awards, and ASME Fellow (2013). Recognized for teaching excellence across multiple semesters. Teaching: Courses include Aerodynamics & Propulsion Lab , UAV Performance/Design , and Advanced Aero Propulsion Lab . Known for innovative pedagogy and student engagement. Labs/Teams: Leads research in high-speed flow diagnostics, plasma-based flow control, and combustion. Collaborates on projects like NASA-funded hypersonic propulsion and emergency ventilator development during the pandemic.