جست‌وجوی استاد و پژوهشگر

Mike Mooneyمشاهده پروفایل

استاد

• Tunneling Engineering
• Underground Construction
• Geotechnical Engineering
• +۵ مورد دیگر

Mike Mooney is a Professor of Mechanical Engineering at the Colorado School of Mines, holding the Grewcock Chair in Underground Construction & Tunneling. He directs the Center for Underground and leads the Heavy Construction Studio, focusing on advancing smart, rapid, and cost-effective construction technologies for urban tunneling and challenging ground conditions through instrumentation integration and field experimentation. His educational background includes: PhD in Civil Engineering, Northwestern University, 1996 MS in Civil Engineering, University of California, Irvine, 1993 BS in Civil Engineering, Washington University, St. Louis, 1991 BA in Physics, Hastings College, 1991 Mooney's research integrates instrumentation into tunnel boring machines and horizontal directional drilling systems, studying robotic excavation, soil transformation using polymers/foams, and ground-mechanical interactions via physics models and machine learning. His group conducts extensive field campaigns embedded in real construction projects worldwide, emphasizing data-driven approaches to complex geotechnical challenges. Recent publications (2018-2023) demonstrate expertise in TBM performance optimization, boulder detection systems, soil conditioning, and machine learning applications for ground prediction. Key contributions include real-time vibration monitoring for Venice lagoon restoration, annular pressure management, foam stability analysis, and autonomous tunneling frameworks across major projects in Seattle, Toronto, Los Angeles, and New York City. No scientific awards or fellowships were mentioned in the provided text. Professor Mooney actively advises graduate students as evidenced by extensive student co-authorship in publications. His research is directly applied to international construction projects including the Venice lagoon restoration and urban tunneling initiatives. He is a registered Professional Engineer in Colorado (License #39682) and provides technical consultation for construction projects globally. He directs the Center for Underground at Colorado School of Mines, where his Heavy Construction Studio develops instrumentation systems and conducts field experiments integrated into active construction sites. The lab specializes in real-time monitoring technologies, ground characterization methods, and machine learning applications for tunneling operations.

Bamin Khomamiمشاهده پروفایل

استاد

• Polymer Physics
• Fluid Mechanics
• Nanomaterials Synthesis
• +۳ مورد دیگر

Bamin Khomami is the Granger and Beaman Distinguished University Professor and Department Head of Chemical and Biomolecular Engineering at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He holds a joint professorship in Mechanical, Aerospace and Biomedical Engineering. His educational background includes a BS, MS, and PhD in Chemical Engineering from Ohio State University and the University of Illinois at Urbana-Champaign. His research focuses on polymer rheology, viscoelastic turbulence, nanomaterial synthesis, and energy storage systems. Key areas include exploring flow-induced phenomena in polymeric fluids, developing advanced electrocatalysts for fuel cells, and creating 3D-printed energy storage devices. His work bridges computational modeling (e.g., molecular dynamics simulations) with experimental synthesis. Recent studies highlight discoveries in polymer-induced turbulence dynamics, drag reduction asymptotes, and the design of laser-synthesized nanocomposites for electrochemical applications. His team also investigates biological systems, such as microbial upcycling of plastics and photosystem I-based biohybrid devices. Key Awards: Granger and Beaman Distinguished University Professor Labs/Groups: Khomami Research Group (website linked) Collaborations: Focus on interdisciplinary projects involving chemical engineering, materials science, and biotechnology His publications emphasize both fundamental fluid mechanics and applied nanotechnology, with a focus on translating computational insights into practical engineering solutions.

Spyridon Vrontosمشاهده پروفایل

استاد

• Actuarial Science
• Financial Data Science
• Predictive Modelling
• +۴ مورد دیگر

Spyridon Vrontos is a Professor and Head of the School of Mathematics, Statistics and Actuarial Science at the University of Essex. He holds a PhD in Statistics from Athens University of Economics and Business (2005), alongside MSc and BSc degrees in Statistics from the same institution. His expertise lies in Actuarial and Financial Data Science, with a focus on predictive modeling, risk management, and asset-liability management. He has received the Charles A. Hachemeister Prize from the Casualty Actuarial Society and has secured funding from organizations like the Society of Actuaries and Innovate UK. His research spans actuarial science, financial mathematics, and quantitative finance, addressing topics such as bonus-malus systems, volatility modeling, and pension fund performance evaluation. Professor Vrontos has extensive consulting experience in areas like pension fund valuation, insurance ratemaking, and financial planning tools. His work combines theoretical advancements with practical applications, bridging academic research and industry needs. He has supervised numerous projects funded by entities including the Hellenic Foundation for Research and Innovation and various insurance companies. His contributions to the field are evident through publications in top journals such as the International Journal of Forecasting and Quantitative Finance. His research portfolio reflects interdisciplinary collaboration, integrating statistical methodologies with financial and actuarial challenges. Recent work includes modeling the economic impacts of the pandemic using dynamic panel models and exploring machine learning approaches for volatility forecasting. He actively engages in teaching and curriculum development, having led the BSc and MSc Actuarial Science programs at Essex.

David Webbمشاهده پروفایل

استاد

• Photonics
• Non-Linear Optics
• Optical Fiber Sensors
• +۳ مورد دیگر

David Webb is a Professor and Professorial Research Fellow at the Aston Institute of Photonic Technologies (AiPT), Aston University. He holds a BA in Physics from the University of Oxford and a PhD in Physics from the University of Kent. His research focuses on photonics, nonlinear optics, and optical fiber sensors, with over 400 publications and a textbook on photorefractive nonlinear optics. He directs ASTUTE, an institute developing urban technologies for sustainable living. Previously, he held roles at the University of Kent and GEC Research. His professional memberships include IOP, OSA, and IEEE. Education : BA in Physics, University of Oxford (1982) PhD in Physics, University of Kent (1988) Research Interests : Professor Webb’s work spans 40 years in photonics, emphasizing optical fiber sensors, nonlinear optics, and acousto-optic devices. He pioneers technologies for sustainable urban environments through ASTUTE. Recent projects include hollow-core fiber ultrasound sensors and polymer fiber Bragg grating applications in hazardous environments. Articles : His recent work explores advanced acousto-optic devices using hollow-core fibers, including broadband ultrasound amplification and suspended-core fiber designs. These studies highlight innovations in optical sensing and neurostimulation applications. Collaborations span international institutions, focusing on fiber-optic material properties and environmental monitoring. Awards : 50th Anniversary Chair, Aston University (2016) Advising & Grants : As a researcher, he oversees projects in photonics and urban technologies, with grants supporting sensor development and sustainable infrastructure. His team collaborates on fiber-optic innovations for industrial and biomedical applications. Labs & Teams : He leads the AiPT and ASTUTE, fostering interdisciplinary research in photonics and urban sustainability. His lab develops cutting-edge optical sensors and fiber technologies for real-world challenges.

• Environmental Hydrology
• Subsurface Flow Modeling
• Vadose Zone Hydrology
• +۹ مورد دیگر

Dr. Tissa H. Illangasekare serves as the AMAX Distinguished Chair of Environmental Sciences and Research Professor in the Department of Civil and Environmental Engineering at Colorado School of Mines. He directs the Center for the Experimental Study of Subsurface Environmental Processes, focusing on flow and transport in permeable media. His research spans subsurface hydrology, CO2 sequestration, PFAS contamination, and humanitarian engineering applications. His work includes numerical modeling of saturated/unsaturated flow, environmental impacts of energy development , and wireless sensor networks for monitoring. Recent publications emphasize PFAS transport mechanisms, geologic CO2 storage, and multiscale hydrologic modeling. Notably, he has led studies on climate change impacts and human health risks related to groundwater contamination. Elected foreign member of Academia Europaea (2022) PSIPW International Groundwater Prize (2016) Henry Darcy Medalist by European Geoscience Union (2012) Honorary Doctorate, Uppsala University (2010) As Editor of Frontiers in Water and AGU's Perspectives in Earth and Planetary Sciences , he shapes global hydrologic research discourse. His lab conducts intermediate-scale experiments bridging laboratory and field studies for subsurface process validation.

• Enterprise-level Information Systems
• Digital Platform Ecosystems
• Enterprise Architecture Management
• +۳ مورد دیگر

Stephan Aier is a Professor and Senior Lecturer at the School of Computer Science, University of St. Gallen. He serves as Director of the HSG Institute of Computer Science in Vorarlberg (ICV-HSG) and co-heads the Data Management and Analytics group (DMAC) at the Institute of Information Management (IWI-HSG). Between 2020-2023, he held the position of Executive Director at IWI. His academic journey includes a Master’s in Industrial Engineering and Management (Technical University of Berlin, 2002) and a Ph.D. in Engineering Sciences (Dr.-Ing., 2006). He completed his habilitation in 2016 and was appointed Privatdozent in 2017. His research focuses on enterprise-level information systems, digital platforms, data management, and simulation modeling. Teaching spans undergraduate, graduate, and executive education, including courses like Digital Transformation, Enterprise Architecture Management, and Data Analytics. He has led numerous projects funded by public and private entities, such as the Swiss National Science Foundation and industry partners like Credit Suisse and SAP. His work addresses challenges in enterprise architecture, digital ecosystems, and complexity management. Key research interests include digital platforms, enterprise architecture coordination, and the interplay between organization and technology. Notable awards include the Best Paper Award at ECIS 2021 and the Junior Scientist Business Innovation Award (2013, 2011). Stephan actively engages in practitioner conferences, delivering talks on topics like AI adoption, cloud strategy, and data governance. He co-directs the Data Management and Analytics Community funded by leading financial institutions. His contributions bridge academic research and industry application, emphasizing practical solutions for complex organizational challenges.

Pooneh Maghoulمشاهده پروفایل

استاد

• Geotechnical Engineering
• Earthquake Engineering
• Solid Mechanics
• +۱۱ مورد دیگر

Pooneh Maghoul is a Full Professor in the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal. She founded and directs the Sustainable Infrastructure and Geoengineering Laboratory (SIGLab), and is a member of Astrolith (Lunar Research Unit) and the Geotechnical Research Group (GRG). With over 14 years of academic and industrial experience in Canada and France, she chairs the Education Committee of the Canadian Geotechnical Society (CGS) and serves on its Board of Directors, as well as the Canadian Permafrost Association (CPA). Ph.D. (2007–2010), M.Sc. (2006–2007) - École des Ponts ParisTech Postdoc (2010–2012) - Université Laval B.Sc. (2002–2006) - University of Tehran Her research focuses on poromechanics of complex porous media and subsurface systems under multi-hazard conditions, including climate change , earthquakes , and lunar environments . Key areas include permafrost stability , bio-inspired drilling , non-destructive testing , and lunar subsurface exploration . Recent publications highlight her work on ultrasonic characterization of frozen soils , climate-resilient Arctic infrastructure , and AI-driven permafrost thaw prediction . She has pioneered waterless drilling technology adaptable for lunar regolith exploration and developed geothermal energy solutions for cold regions. 2023 : Canada's Outstanding Young Geotechnical Engineer 2022 : Canadian Geotechnical Society Recognition Multiple : Best Paper Awards in International Journals She has supervised 2 Ph.D. and Master’s students, including Cui, S. (2023) and Afsharipour, M. (2023). Her work bridges earthquake engineering , computational mechanics , and space geotechnics , with recent grants from the Canada Foundation for Innovation and Fonds de recherche du Québec.

Tapan Mukerjiمشاهده پروفایل

استاد پژوهشی

• Rock Physics
• Wave Propagation Physics
• Spatial Data Science
• +۷ مورد دیگر

Tapan Mukerji is a Professor (Research) at Stanford University with joint appointments in the Department of Energy Science & Engineering, the Department of Earth & Planetary Sciences, and the Department of Geophysics within the School of Earth Sciences. He co-directs the Stanford Center for Earth Resources Forecasting (SCERF), the Basin Processes and Subsurface Modeling (BPSM) consortium, and the Stanford Rocks and Geomaterials Project (SRGP), and previously co-directed the Stanford Rock Physics and Borehole Geophysics Project (SRB). His educational background includes: Ph.D. in Geophysics from Stanford University (1995) M.Sc.(Tech) in Geophysics from Banaras Hindu University, India (1989) B.Sc. in Physics from Banaras Hindu University, India (1986) Tapan Mukerji's research focuses on integrating rock physics, wave propagation physics, spatial data science, and machine learning to address challenges in remote sensing of subsurface systems, stochastic geomodeling, uncertainty quantification, and value of information analysis in Earth sciences. His work uses theoretical, computational, and statistical methods to discover fundamental relations between geophysical data and rock properties, quantify uncertainty in subsurface models, and address decision making under uncertainty. He is particularly interested in forging links between geosciences, engineering, and decision sciences, believing these interdisciplinary connections are critical for the future of energy resources research. His research has broad applications in hydrocarbon exploration, geothermal energy, carbon sequestration, and critical mineral exploration. His recent publications demonstrate a strong trend toward integrating advanced machine learning techniques with traditional geophysical methods. There's increasing focus on physics-informed neural networks, generative models for geological facies simulation, and uncertainty quantification in subsurface characterization. His work bridges the gap between theoretical rock physics and practical applications in energy resource development, with particular emphasis on making robust decisions under uncertainty. Professor Mukerji has received numerous scientific awards and recognitions: Karcher Award for Outstanding Young Geophysicist, Society of Exploration Geophysicists (2000) ENI Award 2014: New frontiers of Hydrocarbons - upstream, ENI - Italy (2014) Best paper, honorable mention, Society of Exploration Geophysicists (2020) Best paper, International Association of Mathematical Geosciences (2010) Multiple best paper awards from various geophysical societies Invited keynote speaker at numerous international conferences Haider Fellowship and Green Fellowship from Stanford University Professor Mukerji actively advises and mentors graduate students, serving as Doctoral Dissertation Advisor for Jaehong Chung and Jiayuan Huang, Doctoral Dissertation Reader for several students, and Postdoctoral Faculty Sponsor for Qi Hu and Suihong Song. His research has been supported by multiple industrial consortia including the Stanford Rock Physics and Borehole Geophysics Project (SRB), Stanford Center for Earth Resources Forecasting (SCERF), Basin Processes and Subsurface Modeling (BPSM), Stanford Rocks and Geomaterials Project (SRGP), and Smart Fields Consortium (SFC). He has also received funding from the Department of Energy and various fellowship programs throughout his career. Professor Mukerji co-directs several major research groups at Stanford including the Stanford Center for Earth Resources Forecasting (SCERF), the Basin Processes and Subsurface Modeling (BPSM) consortium, and the Stanford Rocks and Geomaterials Project (SRGP). These groups bring together faculty, researchers, and industry partners to tackle complex problems in subsurface characterization, reservoir modeling, and energy resource development. His labs focus on developing computational methods for integrating geophysical data with rock physics models, creating advanced uncertainty quantification frameworks, and building decision support tools for subsurface resource management.

Erich Muellerمشاهده پروفایل

استاد

• Theoretical Condensed-Matter Physics
• Quantum Information
• Ultracold Atomic Gases
• +۶ مورد دیگر

Erich Mueller is a Professor at the Department of Physics , College of Arts and Sciences , Cornell University . He directs the Laboratory of Atomic and Solid State Physics and previously served as Director (2015-2023). His research focuses on theoretical physics of ultracold atomic gases , quantum optics , and exotic quantum phenomena . B.Sc. in Mathematics/Physics (1996, University of British Columbia) Ph.D. in Physics (2001, University of Illinois at Urbana-Champaign) Postdoctoral: Ohio State University (2001-2003) Faculty: Cornell (2003-present, promoted to Professor in 2015) His research interests span quantum simulation of strongly correlated matter , non-equilibrium quantum dynamics , and topological states . He bridges condensed matter , nuclear physics , and high-energy physics concepts through cold atom experiments , using analytical and DMRG/cluster expansion techniques. Recent publications emphasize quantum information science (2022), Wigner-Mott transitions (2023), and non-Abelian braiding (2012). Collaborations include Randy Hulet (Rice), Brian DeMarco (UIUC), and Jeevak Parpia (Cornell) on superfluid 3 He studies. Scientific Recognition : Alfred P. Sloan Fellow (2005-2007) American Physical Society Fellow (2014) Paul Award for Advising Excellence (2013) He advises 11 graduate students (including Darren Pereira , Bhuvanesh Sundar ), with research groups exploring quantum Hall systems , spin-orbit coupling , and non-equilibrium phenomena . Funding sources include NSF and DARPA OLE grants.

• Fluid Mechanics
• Turbulence Modeling
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Stefan Wallin is a Researcher at the FLOW MECHANICS department of KTH Royal Institute of Technology in Stockholm, Sweden. His work focuses on turbulence modeling, computational fluid dynamics (CFD), and aerodynamic flow control. He teaches courses such as Applied Fluid Mechanics Calculations and Turbulence , and leads research in the FLOW Turbulence Lab. His research emphasizes Reynolds stress models, large eddy simulation (LES), and hybrid RANS-LES approaches for complex flows. Key research areas include wind energy systems, atmospheric boundary layer dynamics, and flow separation control. He has contributed to improving turbulence closure models for high-Reynolds number flows and wind turbine wake interactions. His work bridges experimental validation with CFD, addressing challenges in scale effects, variable resolution simulations, and machine learning-enhanced turbulence modeling. Wallin collaborates on projects involving morphing high-lift devices, climate modeling impacts of turbulence parameterization, and vortex generator jet flow control. His research has applications in renewable energy, aircraft design, and environmental fluid dynamics. He maintains an active publication record in journals like Physical Review Fluids and Boundary-layer Meteorology , with ongoing exploration of anisotropy-resolving subgrid models and hybrid simulation techniques.

Jonathan Coltonمشاهده پروفایل

استاد

• Global Development and Design
• Manufacturing Engineering
• Composite Materials
• +۴ مورد دیگر

Jonathan Colton is a Professor at the Georgia Institute of Technology, holding joint appointments in Mechanical Engineering, Industrial Design, and International Affairs. He leads Georgia Tech's U.S. Department of State Diplomacy Lab and focuses on multidisciplinary design for global development challenges. His research integrates manufacturing innovation with humanitarian applications, particularly in sub-Saharan Africa's agricultural mechanization and sustainable energy systems. Colton has directed projects such as the Net-Zero Energy Warehouse for Tunisia’s healthcare infrastructure and USAID agricultural technology scaling initiatives. His composites research emphasizes next-generation aircraft materials and recycling post-industrial prepreg waste. He previously served on the WHO Immunization Practices Advisory Committee and the Board of the Global Soap Project, demonstrating a commitment to global health and sustainability. His work bridges technical innovation with socio-economic impact, including participatory design methods for developing countries and techno-economic analyses of renewable energy systems. Key areas of focus include wind turbine optimization for low-wind regions, agricultural machinery design for Bangladesh, and cost-effective composite material processing techniques. Leadership: Diplomacy Lab Director, USAID Jefferson Science Fellow Key Projects: Net-Zero Energy Warehouse, Feed the Future Program Support Awards: Not explicitly listed but includes notable policy and technical contributions Colton’s teaching emphasizes hands-on, interdisciplinary approaches to engineering problems, reflecting his belief in practical solutions for global challenges.

• Fluid Dynamics
• Multiphase Flow
• Reactive Flow
• +۳ مورد دیگر

Henrik Ström is an Assistant Professor in Fluid Dynamics at Chalmers University of Technology, specializing in multiphase flow modeling, reactive flow analysis, and rarefied flow simulation. His research spans molecular to continuum levels, emphasizing interdisciplinary collaboration. He has contributed to over 160 publications, focusing on automotive catalysis, bubble dynamics, biomass conversion, and CFD-DEM modeling. Research Interests: Multiphase flow dynamics, computational fluid dynamics (CFD), reactive flow modeling, automotive exhaust systems, and biomass thermochemical processes. He explores phenomena such as lift forces on deformable bubbles, soot generation in gasifiers, and flow distribution optimization in catalytic converters. Projects include advanced modeling of catalytic converters, particle-fluid coupling in biomass conversion, and carbon capture technologies. He collaborates on automotive pollution control, heat exchanger design, and nanoscale catalytic systems. His work integrates experimental validation with high-resolution numerical simulations.

• Atomic Resolution Imaging
• Electron Microscopy
• Theoretical Physics
• +۳ مورد دیگر

Scott Findlay is an Associate Professor in the School of Physics and Astronomy at Monash University. He holds an ARC Future Fellowship (2020–present) and has expertise in theoretical physics and advanced electron microscopy techniques. His research focuses on atomic resolution imaging via scanning transmission electron microscopy (STEM), including novel detector geometries, compositional analysis of nanostructures, and quantitative structure determination. He has led multiple ARC-funded projects, including 'UltraTEM' and 'Nanoscale field mapping in functional materials.' Education: PhD in Physics (Theoretical Aspects of Scanning Transmission Electron Microscopy), The University of Melbourne (2005) BSc (Hons) in Physics, The University of Melbourne (2001) Research Interests: Developing theoretical models and numerical simulations to enhance STEM capabilities, particularly in dynamic scattering analysis. Current projects include optimizing segmented/pixel detectors for imaging, quantifying material composition at the nanoscale, and analyzing thick nanostructures. Articles Trends: Recent work emphasizes 4D-STEM advancements, including denoising algorithms, scattering matrix reconstruction, and atom-counting techniques. His research bridges theory and experiment, addressing challenges in dynamical scattering and phase retrieval. Awards: AMMS Microscopy and Microanalysis Award (2018) Exceptional Educational Service Award (2021) Outstanding Reviewer for Microscopy and Microanalysis (2017) Advising & Grants: Supervises PhD students and has secured over AUD 10 million in ARC grants. Coordinates Monash's Level 2 Physics curriculum and chairs the School's Education Committee. Labs/Teams: Collaborates with institutions like the University of Tokyo and the University of Melbourne on projects such as magnetic field mapping and electron ptychography.

• Fluid Dynamics
• Turbulence
• Shear Flows
• +۳ مورد دیگر

Benjamin Bugeat is a Lecturer in the School of Engineering at the University of Leicester. His research focuses on Fluid Dynamics, particularly the stability and transition to turbulence in shear flows. He employs computational and theoretical methods such as modal/non-modal stability analysis, resolvent analysis, and direct numerical simulation. His academic background includes a PhD from Sorbonne University (on compressible boundary-layer flows stability) and postdoctoral roles at the University of Cambridge (jet noise modeling) and TU Delft (stratified shear flow stability). Education: PhD in Fluid Dynamics, Sorbonne University Research Interests: Stability of shear flows, turbulence mechanisms, computational fluid dynamics, and applications to aerodynamics and environmental flows. His work bridges theoretical analysis and high-fidelity simulations to understand flow instabilities. Professional Background: Research Associate, University of Cambridge (201X–201X) Research Associate, TU Delft, Netherlands (201X–201X)

Jennifer Duanمشاهده پروفایل

استاد

• Hydraulics
• Sediment Transport
• Fluvial Geomorphology
• +۵ مورد دیگر

Jennifer Duan is a Professor with a joint appointment in the Department of Hydrology and Atmospheric Sciences and the Department of Civil Engineering and Engineering Mechanics at the University of Arizona. Her research focuses on hydraulics, sediment transport, and fluvial geomorphology, with expertise in experimental studies and computational modeling of turbulent flow, sediment transport dynamics, and channel morphological processes. Dr. Duan holds a PhD in computational hydroscience and engineering from the University of Mississippi. She leads research initiatives addressing water quality modeling, surface-groundwater interactions, and the application of advanced technologies like drone-based monitoring for discharge estimation. Her work integrates field experiments, numerical simulations, and machine learning to solve complex environmental and engineering challenges. Notably, she has pioneered studies on post-wildfire hydrological impacts, sediment transport in vegetated channels, and pathogen resuspension in irrigation systems. She also actively mentors early-career professionals through initiatives like the Mentoring Institute for Sediment Transport (MIST). Dr. Duan’s contributions span interdisciplinary applications, including flood fragility analysis for infrastructure resilience and net-zero urban water systems. Her research has direct implications for sustainable water management, environmental restoration, and disaster mitigation.