جست‌وجوی استاد و پژوهشگر

• Thermal Engineering
• Materials Science
• Computational Modeling
• +۳ مورد دیگر

Jiawei Hu is a Research Fellow at the University of Surrey's School of Chemistry and Chemical Engineering, specializing in computational modeling and thermal engineering. Their work focuses on advanced energy storage systems, granular flow dynamics, and electrostatic interactions in particulate systems. Research interests include thermal management of all-solid-state batteries, heat conduction in composite materials, and discrete element method (DEM) modeling for granular and pharmaceutical systems. Recent studies explore the impact of microstructural parameters on thermal conductivity, as well as electrostatic phenomena in silo and rotating drum environments. Publications highlight trends in interdisciplinary research at the intersection of energy storage, materials science, and computational physics. Key contributions include DEM-CFD coupled models for particle systems and investigations into friction-induced heating mechanisms. No academic awards or grants are explicitly listed in the provided materials. Advising records are unavailable, though affiliations with Surrey's Chemistry and Chemical Engineering School suggest involvement in collaborative research initiatives.

Colin N. Brooksمشاهده پروفایل

مدرس

• Remote Sensing
• Unmanned Aerial Systems
• Aquatic Ecology
• +۵ مورد دیگر

Colin N. Brooks serves as a Senior Research Scientist at the Michigan Tech Research Institute (MTRI) and an Adjunct Lecturer in Biological Sciences at Michigan Technological University. His work integrates remote sensing technologies with environmental and infrastructure monitoring, specializing in Great Lakes ecosystem studies and transportation asset management. Education: PhD in Biology Master of Environmental Management (MEM) in Resource Ecology Dr. Brooks' research centers on aquatic and landscape ecology, with emphasis on invasive species mapping (particularly submerged aquatic vegetation like Eurasian watermilfoil) using Unmanned Aerial Systems. He develops automated analysis methods for transportation infrastructure assessment including road/bridge condition evaluation through multispectral sensing and LiDAR, and creates decision support systems for environmental management workflows. His 15 most recent publications (2023-2025) reveal dominant trends in UAS-based infrastructure inspection (pavements, bridges, airfields) and environmental monitoring (copper tailings impacts, invasive species). Key methodological advances include machine learning integration for automated crack detection, 3D coastal mapping, and multitemporal analysis frameworks for ecosystem management. Scientific Awards: No awards were listed in the provided information. Advising and Grants: Student advising activities and specific grant funding details were not documented in the source materials. Labs and Teams: Dr. Brooks is actively engaged with the Great Lakes Research Center (GLRC), leading interdisciplinary projects that bridge remote sensing technology with practical solutions for environmental conservation and transportation infrastructure challenges.

Nick Pohlmanمشاهده پروفایل

استاد

• High Energy Physics
• Granular Flow Dynamics
• Biomass Energy
• +۳ مورد دیگر

Nicholas Pohlman is a Professor in the Department of Mechanical Engineering at Northern Illinois University (NIU), with a career spanning over 15 years. He holds a Ph.D. from Northwestern University, an S.M. from MIT in Aeronautics and Astronautics, and a B.S. from the University of Dayton. As a Presidential Teaching Professor and ACUE Distinguished Teaching Scholar , his student-centered philosophy emphasizes problem-solving and adaptability, teaching courses like Statics, Fluid Mechanics, and Senior Design. He contributes to cutting-edge research in high-energy physics , granular flow dynamics , and biomass energy , collaborating with Fermilab and Argonne National Laboratories. His publications bridge mechanical engineering and physics, with recent work on muon magnetic moments and granular material behavior. Pohlman has received multiple accolades, including Faculty of the Year awards (2009, 2012), the University Honors Program Great Professor Award (2014), and a Credential in Effective College Instruction (2021). He mentors M.S. and undergraduate researchers, guiding projects for Fermilab's mu2e and muon g-2 experiments. Outside academia, he supports community organizations like Boy Scout Troop 37 and Geneva Baseball Association. Research Trends: Pohlman's recent articles focus on three core areas: High-energy particle accelerator design (e.g., Fermilab experiments), Granular flow analysis (conveyor systems, tumbler dynamics), and Sustainable energy systems (biomass gasifiers, energy optimization). These works emphasize experimental validation, interdisciplinary collaboration, and practical engineering solutions for both scientific and industrial challenges. Scientific Awards Presidential Teaching Professor (2022) ACUE Distinguished Teaching Scholar Faculty of the Year (2009, 2012) Credential in Effective College Instruction (2021) Innovation Certificate of Recognition Great Professor Award (2014) Advising Highlights: Pohlman has mentored notable students like Thomas Corbett (Ph.D. candidate at Penn State) and Matthew McCoy (NSF Graduate Research Fellow at Georgia Tech). His research grants include funding from the Environmental Protection Agency – P3 Award , Sustainable Agriculture Grant Program , and collaborations with Argonne National Laboratory.

Michele Larcherمشاهده پروفایل

استاد

• Granular Flow Dynamics
• Hydrology
• Debris Flow Modeling
• +۴ مورد دیگر

Michele Larcher is a tenured full professor at the Free University of Bozen-Bolzano, affiliated with the Faculty of Agricultural, Environmental and Food Sciences and the Department of Civil, Environmental and Mechanical Engineering. His research focuses on granular flows, debris dynamics, climate change impacts on hydrology, and sediment transport mechanisms. He teaches courses such as Advanced Applications of Fluid Mechanics and Hydrology and Hydraulics . Dr. Larcher’s work spans experimental and computational studies of granular materials, including jamming phenomena, particle segregation, and collisional dynamics in obstructed flows. He also investigates climate model bias correction methods and their applications in environmental risk assessment. Notable projects include studies on debris flow mitigation in mountain regions and the vulnerability of infrastructure like bridges to sediment transport. His research integrates fluid mechanics, geophysics, and data science, with a focus on practical solutions for environmental challenges such as sediment management and renewable energy systems. Collaborations include the EUREGIOLAB initiative and the STEEP STREAMS project, addressing sustainable engineering and disaster prevention.

• Population genomics
• Human genome
• Coalescence theory
• +۵ مورد دیگر

Vladimir Lvovich Shchur is a Professor at the Department of Big Data and Information Retrieval within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE). He serves as Head of the International Laboratory of Statistical and Computational Genomics at the Institute of Artificial Intelligence and Digital Sciences and is a Member of HSE's Academic Council. Dr. Shchur began working at HSE in 2018 and has accumulated 12 years of scientific and teaching experience across multiple prestigious institutions. Dr. Shchur's educational background includes: Doctor of Physical and Mathematical Sciences from HSE (2023) PhD from University of Paris XI (2013) Specialist degree in Mathematics from Lomonosov Moscow State University (2009) His research focuses on population genomics, human genome analysis, coalescence theory, hidden Markov models, and mathematical approaches to genomic data. Dr. Shchur has developed sophisticated computational methods that bridge theoretical mathematics with practical applications in genomics and population genetics. His work demonstrates a consistent progression from pure mathematical theory to applied computational biology, with recent emphasis on machine learning integration. Analysis of his recent publications reveals a strong focus on developing advanced computational tools for genomic analysis, with applications ranging from human population history reconstruction to viral epidemiology. His work shows increasing sophistication in integrating machine learning techniques with traditional population genetic methods, particularly evident in his deep learning approaches for inferring coalescence times and ancestry. His laboratory has made significant contributions to understanding SARS-CoV-2 transmission dynamics in Russia through genomic epidemiology. Dr. Shchur has received numerous scientific recognitions: Letter of thanks from HSE Vice-Rector (December 2024) Allowance for doctoral dissertation defense (2023-2026) Multiple publication bonuses for high-impact journals (2019-2026) Membership in HSE Personnel Reserve (High Professional Potential Group) Dr. Shchur actively supervises student research, with Khomutov E. V. currently working on machine learning applications in population genomics. He has secured multiple competitive research grants, including RSF projects on genetic mixing modeling and deep learning applications for population structure analysis. As laboratory head, he leads a multidisciplinary team developing tools like VGsim (viral genealogy simulator) and AncestryGNN (neural network for population prediction), with growing industry partnerships in agriculture and healthcare.

Ovidiu COJOCARUمشاهده پروفایل

پژوهشگر

• Condensed Matter Physics
• Nanomaterials
• Nanocrystals
• +۵ مورد دیگر

Ovidiu COJOCARU is a Scientific Researcher at the National Institute of Materials Physics in Romania, working within the Group of "Nanomaterials and Nanostructures based on SiGeSn" since December 2023. Previously, he served as a Research Assistant at the same institution from April 2018 to November 2023. He is affiliated with the Laboratory of Atomic Structures and Defects in Advanced Materials (LASDAM). His educational background includes: Doctoral School in Physics - Condensed Matter Physics (2019-2023) at the University of Bucharest Master's degree in Physics of Advanced Materials and Nanostructures (2017-2019) from the Faculty of Physics, University of Bucharest Dr. COJOCARU specializes in the electrical and photoelectrical properties of SiGeSn nanocrystals embedded in various oxides (TiO 2 , HfO 2 , ZrO 2 , SiO 2 ), with particular expertise in memory properties of floating gate memories and ferroelectric properties of orthorhombic HfO 2 /ZrO 2 based structures. His experimental work combines electrical and photoelectrical measurements with UV-Vis-NIR spectroscopy , while his theoretical work involves ab initio computations for electronic structure properties. His publication record shows a consistent focus on short-wave infrared (SWIR) photodetection using group IV semiconductor nanomaterials, particularly SiGeSn systems. The research demonstrates how embedding matrix selection, composition engineering, and nanocrystallization processes can extend photosensitivity limits while maintaining CMOS compatibility. His work bridges fundamental materials science with practical applications in optoelectronics and memory devices. Dr. COJOCARU's research methodology combines experimental techniques like magnetron sputtering deposition, rapid thermal annealing, HRTEM, XRD, and Raman spectroscopy with computational approaches including density functional theory. His work contributes to the development of sustainable, As/Cd/Pb-free nanomaterials that offer cost-effective integration with existing semiconductor technology.

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.

• RNA Splicing
• Cellular Senescence
• Gene Regulation
• +۳ مورد دیگر

Professor Sushma Grellscheid holds a professorial position in the Department of Biosciences at Durham University. Her research focuses on RNA splicing mechanisms, cellular senescence, and molecular biology with applications to genetic disorders and cancer biology. She has contributed extensively to understanding stress granule biophysics, ciliopathies, and tissue-specific gene regulation through multidisciplinary approaches. Key research areas include: RNA processing disorders and splicing regulation Cellular senescence mechanisms and aging biology Stress granule formation and phase separation Therapeutic target discovery for ciliopathies Plant developmental biology and root meristem dynamics Her work bridges molecular genetics with synthetic biology, exemplified by studies on coacervate-core vesicles and DNA-based particle tracking. Over 30 peer-reviewed publications demonstrate her expertise in translational regulation, telomere biology, and biomaterials science. Current research emphasizes: Developing RNA-based therapies for genetic diseases Elucidating senescence signaling pathways Engineering synthetic biological systems No formal awards are listed, but her active grant contributions are evident through collaborative projects with institutions like the European Physical Journal and Nature Communications.

• Materials Science
• Nuclear Engineering
• Metallurgy
• +۵ مورد دیگر

Mattias Thuvander is an Assistant Professor at Chalmers University of Technology in the Department of Microstructural Physics. His research focuses on the relationship between material microstructure and properties, particularly under heat treatment and operational conditions, using advanced techniques like atom probe tomography (APT) and electron microscopy. He contributes to projects involving zirconium alloys for nuclear applications, steels, and thin-film solar cells. Research Interests: Materials microstructure, nuclear engineering, corrosion science, additive manufacturing, thin films, and phase separation analysis. Publications: 15 recent works from 2025 to 2024 highlight his expertise in APT, welds, hydrogen resilience, and irradiation effects on reactor components.

• Bulk Materials Handling
• Belt Conveying Systems
• Discrete Element Modelling (DEM)
• +۵ مورد دیگر

Dr. David Hastie is a Senior Lecturer at the University of Wollongong's School of Mechanical, Materials, Mechatronic and Biomedical Engineering, part of the Faculty of Engineering and Information Sciences. He has been with the university since 1997, progressing from a Research Fellow (2005–2008) to Lecturer (2008–2016) and then Senior Lecturer (2017–present). His research focuses on bulk materials handling, belt conveyor systems, discrete element modelling (DEM), and engineering education innovation. He holds a PhD in Mechanical Engineering (2010) and has authored over 60 journal/conference papers. Dr. Hastie’s research interests include particle flow mechanics, segregation of granular materials, dust suppression technologies, and industrial applications of DEM. He leads the International Solids Handling Research Institute (ISHRI) at UOW and has contributed to projects like the ARC Training Centre for Innovative Composites and the AI Tutor initiative for engineering education. He received the A.W. Roberts Award (2019) and the OCTAL Award (2011) for teaching excellence. Education: BEng (Mechanical Hons), MEng (Research Hons), PhD (Mechanical Engineering) from University of Wollongong. Teaching: Leads courses in Engineering Fluid Mechanics, Solids Handling, and Mechanical Design. Grants: Over $5M in funding for projects including coal dust suppression and autonomous wool harvesting. Leadership: Conference chair for ICBMH 2016/2023 and executive roles in ASBSH and APTS. His work bridges academia and industry, addressing challenges in bulk material handling, mine safety, and engineering pedagogy through interdisciplinary collaboration and advanced computational methods.

Paul Zulliمشاهده پروفایل

استاد

• Steel Manufacturing
• Pyrometallurgy
• Computational Fluid Dynamics
• +۳ مورد دیگر

Professor Paul Zulli serves as Director of the Australian Steel Manufacturing Research Hub at the University of Wollongong within the Faculty of Engineering and Information Sciences and the School of Mechanical, Materials, Mechatronic and Biomedical Engineering. With over 30 years of experience in steel manufacturing research and technology development, he leads major collaborative research initiatives focused on sustainable steel production and industry decarbonization. Professor Zulli's research spans steel manufacturing processes, pyrometallurgy, computational fluid dynamics, and materials engineering. His work emphasizes developing simulation methods and operational systems for complex manufacturing processes in challenging industrial environments. He has made significant contributions to understanding blast furnace operations, slag processing, and the integration of hydrogen technologies in steel production. His approach bridges fundamental scientific understanding with practical industrial applications, addressing critical challenges in sustainability and efficiency. Analysis of Professor Zulli's recent publications reveals a strong focus on decarbonization of steel production, with particular emphasis on hydrogen injection in blast furnaces, slag recycling for resource recovery, and advanced numerical modeling of industrial processes. His research demonstrates a clear progression toward addressing the steel industry's sustainability challenges through innovative technical solutions. Fellow of the Australian Academy of Technological Sciences and Engineering Professor Zulli actively supervises PhD and Master's students on cutting-edge research topics including electric smelting furnace operations and hydrogen plasma reduction processes. He has secured numerous competitive national grants, including leadership roles in the ARC Research Hub for Australian Steel Innovation and the Australian Steel Manufacturing Research Hub, demonstrating his ability to translate research into practical industrial solutions. As Director of the Australian Steel Manufacturing Research Hub, Professor Zulli leads a major collaborative research effort working closely with industry partners to develop sustainable technologies for the future of steel production, positioning him at the forefront of research aimed at transforming steel manufacturing processes to meet environmental challenges while maintaining economic viability.

Brian Thomasمشاهده پروفایل

استاد پژوهشی

• Metals Processing
• Computational Modeling
• Materials Engineering
• +۵ مورد دیگر

Brian Thomas is a Research Professor in the Mechanical Engineering department at the Colorado School of Mines (Mines), where he has been since 2015. He holds a B.Eng. from McGill University and a PhD from the University of British Columbia, both in Metallurgical Process Engineering. His research focuses on computational modeling of metals processing, particularly the continuous casting of steel, integrating experimental and computational methods to improve process understanding and quality control. He is also the C.J. Gauthier Professor Emeritus and former Director of the Continuous Casting Consortium (now Continuous Casting Center) at the University of Illinois at Urbana-Champaign. Education: B.Eng., Metallurgical Process Engineering, McGill University PhD, Metallurgical Process Engineering, University of British Columbia Research Interests: Computational modeling of multiphase flow and solidification in steel casting Defect formation and mitigation in continuous casting processes Thermal and mechanical behavior during steel solidification Development of advanced control systems for metallurgical processes His work has led to fundamental insights into continuous casting dynamics, including air gap measurement, bubble behavior, and metallurgical length control. He leads the Continuous Casting Center, a collaborative initiative focused on advancing steel manufacturing technologies. Labs & Collaborations: Continuous Casting Center (Mines), previously leading the Metals Processing Simulation Laboratory at UIUC.

Eldin Wee Chuan Limمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Discrete Element Method
• Fluidization

Dr. Eldin Wee Chuan Lim is an Associate Professor (Educator-track) in the Department of Chemical and Biomolecular Engineering at the National University of Singapore (NUS). His research focuses on computational modeling of fluid-particle systems using Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM), with applications in fluidization, particle technology, and multiphase flow systems. He holds a PhD in Chemical Engineering from the National University of Singapore, MA in Applied Educational Leadership from University College London, MEng in Chemical Engineering from NUS, and dual bachelor's degrees in Chemical Engineering and Computing & Information Systems from NUS and University of London respectively. Dr. Lim has received numerous teaching awards including the NUS Annual Teaching Excellence Award Honour Roll (2018-2022) and multiple Engineering Educator Awards from the Faculty of Engineering. His publications investigate particle dynamics in fluidized beds, heat transfer mechanisms in pulsating systems, and granular mixing phenomena. Research publications demonstrate strong emphasis on experimental and computational approaches to particle technology, with recent work advancing understanding of pulsating fluidized bed hydrodynamics, immersed tube heat transfer, and particle segregation mechanisms. Future work will explore AI-enhanced modeling of complex multiphase systems.

Yao Yinuoمشاهده پروفایل

استادیار

• Computational fluid dynamics
• Numerical methods
• Wastewater treatment
• +۵ مورد دیگر

Dr. Yao Yinuo is an Assistant Professor in the Department of Civil & Environmental Engineering at Texas A&M University, with an affiliation in Mechanical Engineering. Her research focuses on computational fluid dynamics, numerical methods, and environmental biotechnology. She leads the MSCE Lab, which integrates modeling, simulations, and experiments to address challenges in water treatment, energy storage, and resource recovery. The lab emphasizes transitioning technologies from lab-scale to commercial applications and fosters a collaborative research environment. Education: Ph.D., Civil & Environmental Engineering, Stanford University (2021) M.S., Institute for Computational and Mathematical Engineering, Stanford University (2021) M.S., Civil & Environmental Engineering, Stanford University (2017) B.Eng., Civil & Environmental Engineering, National University of Singapore (2015) Research Interests: Dr. Yinuo’s work spans multiscale modeling of fluid dynamics, porous medium flow, and energy storage systems. She develops hybrid numerical schemes and advanced simulation techniques to study thermal runaway in batteries, reactive transport in porous media, and membrane distillation for desalination. Her lab also explores wastewater treatment innovations and microfluidics applications. Lab Activities: The MSCE Lab actively recruits motivated students for Ph.D. programs starting Fall 2025. Recent lab activities include group outings and presentations at conferences like AWWA WQTC. Notable publications include studies on non-intrusive hybrid schemes for heat transfer and level-set methods for reactive transport.

Rachel Gladeمشاهده پروفایل

استادیار

• Geomorphology
• Landscape Evolution
• Sediment Transport
• +۳ مورد دیگر

Rachel Glade is an Assistant Professor of Earth and Environmental Sciences and Mechanical Engineering at the University of Rochester. Her research focuses on sediment transport dynamics, landscape evolution, and fluid mechanics. She holds a PhD from the University of Colorado, Boulder, and leads a lab conducting experiments on frozen hillslope mechanics and fluvial processes. Key projects include studying arctic soil patterns as fluid instabilities, sediment diffusion in rivers, and blocky hillslope evolution. Her work bridges granular physics with geomorphological modeling, using climate chambers and laminar flumes. Glade collaborates on landscape evolution models (e.g., terrainbento) and explores applications in planetary science, environmental engineering, and community education through digital tools like ArcGIS StoryMaps. Research interests span geomorphology, granular physics, and interdisciplinary connections to fluid mechanics. Ongoing experiments include simulating permafrost thaw impacts and analyzing granular segregation in industrial and geophysical contexts. She has published in journals like PNAS, Earth-Science Reviews, and JGR Earth Surface, emphasizing quantitative methods for landscape process representation. Labs and facilities include a walk-in climate chamber for frozen terrain studies and a specialized flume for sediment transport analysis. Glade's work addresses both Earth's surface processes and extraterrestrial landscapes, contributing to planetary science and climate adaptation strategies.