جست‌وجوی استاد و پژوهشگر

Owen Williamsمشاهده پروفایل

عضو هیئت علمی

• Fluid Mechanics
• Turbulence
• Hypersonics
• +۵ مورد دیگر

Owen Williams is a Research Associate Professor in the William E. Boeing Department of Aeronautics and Astronautics at the University of Washington, with a focus on turbulent and hypersonic flows. He holds a PhD from Princeton University and an MEng from Imperial College, London. His research explores unsteady turbulent flows, hypersonic boundary layers, and renewable energy systems like rotating foils for hydrokinetic power generation. Dr. Williams has held prior positions, including Research Associate at the University of Maryland. His work addresses challenges in compressible turbulence, shock interactions, and flow separation dynamics. He leads the Williams Lab, which investigates turbulence modeling, flow control, and aerospace applications. Recent student achievements include Kevin Manohar's Herbold Fellowship and Abigale Snortland's graduation to PNNL. Research Interests: Fluid mechanics, turbulence dynamics, hypersonic flow physics, stratified atmospheric flows, and renewable energy systems. His lab focuses on improving predictive models for vehicular and environmental flows through experimental and computational methods. Recent Contributions: Studies on asymmetric flow phenomena, cross-flow turbine performance optimization, and supersonic retropropulsion. His work bridges fundamental turbulence studies with practical applications in aerospace and energy sectors. Lab Activities: Active in mentoring students and overseeing projects like the Pacific Marine Energy Center. Lab members have presented at SHARC Week and Space Grant's SURP program, showcasing innovations in hypersonic testing and turbine design.

Nathan Tichenorمشاهده پروفایل

عضو هیئت علمی

• High-speed aerodynamics
• Flow control approaches
• Diagnostic development
• +۳ مورد دیگر

Nathan Tichenor is a Research Associate Professor in the Department of Aerospace Engineering at Texas A&M University. He also serves as Chief Research Officer at the Bush Combat Development Complex and Director of Hypersonic Facilities there. His research focuses on high-speed aerodynamics, novel flow control strategies, advanced diagnostic development, and wind tunnel design, with expertise in computational fluid dynamics (CFD). He holds a PhD, MS, and BS in Aerospace Engineering from Texas A&M University, completed in 2010, 2007, and 2005 respectively. His work spans experimental and numerical studies of hypersonic boundary layers, shock wave interactions, and flow control techniques using laser-based methods and plasma discharges. Notable contributions include studies on cylinder-induced shock interactions, cycloidal rotor blade dynamics, and thermal transport in high-speed flows. He has led projects involving shape-memory alloy actuators for wind tunnel models and developed novel methods for flow tagging and imaging in hypersonic regimes. Recent publications highlight advancements in boundary layer instability measurements, dual-mode energy deposition control systems, and antenna optimization for hypersonic flows. His research emphasizes practical applications of fluid dynamics principles in defense and aerospace engineering contexts.

• Organizational Transformation
• Change Management
• Risk Management
• +۶ مورد دیگر

Kristen Hurtado serves as an Assistant Teaching Professor at Arizona State University's School of Sustainable Engineering and the Built Environment. Holding a Ph.D. in Construction Management from ASU (2018), she brings over a decade of experience managing more than $1 billion in construction projects for public and private entities including the US Government, state agencies, and utilities. Her educational background includes: Ph.D. in Construction Management, Arizona State University, 2018 M.Ed. in Educational Technology, Arizona State University, 2019 M.S. in Facilities Management, Arizona State University, 2011 B.S. in Construction Management, Arizona State University, 2010 Research focuses on Organizational Transformation , Change Management , and Risk Management within construction and facility management contexts. Her work emphasizes practical applications in Value Based Contracting , Construction Education , and Industry Analytics to optimize project delivery and facility operations. Scholarly output demonstrates consistent contributions to construction management through empirical studies on risk distribution, planning models, and educational innovations. Key themes include BIM benefits measurement, risk taxonomy development, and instructional strategies for facility management professionals. Professionally, Dr. Hurtado has managed over 200 projects exceeding $1 billion in value, specializing in streamlining procurement and construction processes. She mentors students through honors theses and directed research while teaching core courses including Applied Statics, Construction Technology, and Facilities Project Management.

• Catalysis
• CO₂ Valorization
• Kinetic Modeling
• +۴ مورد دیگر

Dr. Sofia Angeli is a Group Leader at the Institute of Catalysis Research and Technology (IKFT), Karlsruhe Institute of Technology (KIT), Germany, since March 2024. Previously, she held roles as Senior Scientist/Group Leader (2021–2024) and Postdoctoral Researcher (2017–2019) at KIT. Her research focuses on catalysis for energy transition, CO₂ valorization, kinetic modeling, and digitalization of catalytic processes. She leads interdisciplinary projects integrating experimental and computational methods to advance sustainable chemical processes. PhD in Chemical Engineering (2016): Aristotle University of Thessaloniki, Greece. Thesis: Hydrogen production via intensified methane steam reforming processes. M.Sc. in Advanced Materials (2012): Aristotle University of Thessaloniki. Diploma in Chemical Engineering (2009): Aristotle University of Thessaloniki. Research Interests : Sofia’s work spans kinetic modeling, CO₂ conversion, catalytic pollutant removal, and digital tools for catalysis research. She develops novel catalysts for methane reforming and designs data management systems like Adacta and CaRMeN to streamline reaction mechanism analysis. Her projects often address industrial challenges in emissions reduction and renewable energy. Her recent publications emphasize catalytic processes for energy sustainability (e.g., methane oxidative coupling) and automated modeling frameworks. She collaborates widely, contributing to journals like Chemical Engineering Journal and ACS Catalysis . Advising & Teams : As a Group Leader, she oversees researchers in catalysis and data-driven processes. Her team works on cutting-edge projects supported by KIT’s infrastructure and interdisciplinary networks. Labs/Teams : Active in the IKFT and the Deutschmann Group, focusing on catalyst design and process intensification.

• Oral Radiology
• Dental Implantology
• 3D Printing in Dentistry
• +۳ مورد دیگر

Vinicius Dutra, DDS, PhD, MBA is a Clinical Associate Professor at the Department of Oral Pathology, Medicine and Radiology within the Indiana University School of Dentistry. His work focuses on innovative applications of 3D printing, virtual reality, and artificial intelligence in dental education and clinical practice. He specializes in oral radiology, implantology, and orthodontics, with a strong emphasis on improving diagnostic accuracy and surgical precision through advanced imaging and digital tools. Dr. Dutra holds a Doctor of Dental Surgery (DDS), a PhD, and an MBA, reflecting his interdisciplinary expertise in clinical practice, research, and healthcare management. His research explores topics such as guided implant surgery, 3D-printed anatomical models for training, and the integration of machine learning into dental diagnostics. His recent studies include evaluations of virtual reality in dental education, the accuracy of guided implant placement techniques, and comparisons between cone-beam CT scans and histological analyses. He has also contributed to advancements in complete denture fabrication workflows and bone thickness measurement methodologies. Despite his extensive publication record, no scientific awards were explicitly mentioned in the provided materials. Dr. Dutra’s clinical and educational roles involve mentoring students and contributing to the development of cutting-edge dental technologies. His work bridges traditional dental practices with modern digital innovations, aiming to enhance patient outcomes and streamline clinical workflows.

Michael Kingمشاهده پروفایل

استاد

• Reservoir Engineering
• Unconventional Reservoirs
• Flow Simulation
• +۳ مورد دیگر

Michael King is a Professor of Petroleum Engineering and holds the LeSuer Chair in Reservoir Management at Texas A&M University. He is also affiliated with the Multidisciplinary Engineering program. His research focuses on 3D reservoir modeling, unconventional reservoir characterization, and advanced simulation techniques for flow dynamics. Education: Ph.D. in Physics (Syracuse University, 1980), M.S. in Physics (Syracuse University, 1977), B.S. in Physics and Mathematics (The Cooper Union, 1976). Research Interests: His work emphasizes reservoir upscaling, streamline-based simulation, pressure transient analysis, and geomechanical modeling for CO2 storage. Recent work explores machine learning integration with reservoir workflows and multiscale modeling for complex reservoirs. Publications: Over 100 peer-reviewed articles since 2005, with recent focus on fast marching methods, diffusive time of flight, and multi-scale simulation frameworks. Topical trends include unconventional reservoir analysis, CO2 sequestration, and shale gas production optimization. Awards: Distinguished SPE Member (2013), Foundation CMG Chair (2013–2019), Teaching Excellence Award (2014) Labs/Teams: Leads reservoir simulation research group focused on unconventional reservoir characterization and numerical method development Grants/Funding: Extensive funding history from industry partnerships and government grants for reservoir modeling R&D

• Civil Engineering
• Computational Fluid Dynamics
• Porous Media Flow
• +۳ مورد دیگر

Dr. Luka Malenica is a dedicated researcher at ETH Zurich's Professorship for Durability of Engineering Materials, focusing on computational modeling of material degradation processes in civil infrastructure. His work bridges theoretical numerical methods with practical engineering applications through direct involvement in the department's research operations. His research program centers on multiphase flow in porous media , corrosion mechanisms in reinforced concrete , and advanced numerical techniques . He employs pore-scale direct numerical simulations to investigate steel-concrete interface phenomena, developing predictive models for infrastructure durability. His methodological innovations include control volume isogeometric analysis, adaptive multiresolution modeling, and deep learning applications for adaptive meshing—addressing challenges in heterogeneous media flow and transport phenomena. Analysis of his 15 most recent publications reveals a consistent research trajectory since 2015, with accelerating output in corrosion science (5 papers in 2024-2025) and computational methods (7 papers 2019-2022). Key interdisciplinary connections span civil engineering (corrosion in reinforced concrete), chemical engineering (bubble column reactors), and hydrology (karst aquifer modeling), unified by his expertise in numerical simulation of transport phenomena. Recent work demonstrates increasing sophistication in modeling macrovoid formation at steel-concrete interfaces and capillary-driven multiphase systems.

Burcu Akinciمشاهده پروفایل

استاد

• Construction Engineering and Management
• Building Information Modeling (BIM)
• Infrastructure Systems
• +۵ مورد دیگر

Dr. Burcu Akinci is the Paul Christiano Professor and Department Head of Civil and Environmental Engineering at Carnegie Mellon University (CMU), with a courtesy appointment in Electrical and Computer Engineering. She holds a BS from Middle East Technical University, an MBA from Bilkent University, and MS/PhD from Stanford University. Her research focuses on integrating BIM with 3D imaging/sensor data to create digital twins for construction and infrastructure management, emphasizing predictive operations and fault diagnosis in HVAC systems. She has secured over $16M in grants, authored 70+ journal papers, and pioneered methodologies for as-built BIM generation and infrastructure monitoring. Education : PhD 2000 - Stanford University (Civil & Environmental Engineering) MS 1995 - Stanford University MBA 1993 - Bilkent University BS 1991 - Middle East Technical University Research Interests : Dr. Akinci develops technologies to streamline construction and infrastructure operations through digital twins. Key areas include: BIM integration with IoT/sensor networks 3D imaging for asset management Fault detection in HVAC systems Autonomous environmental control for space habitats Predictive maintenance using AI Grants & Patents : $6M+ PI grants, $10M+ co-PI grants (federal/state/industry) 2 patents issued, 1 provisional patent Labs & Teams : Active in the Scott Institute for Energy Innovation, leading projects on smart buildings and infrastructure resilience.

• Comparative Genomics
• Bioinformatics
• Epigenetics
• +۳ مورد دیگر

Jonathan Göke is a researcher at the Genome Institute of Singapore (GIS), part of A*STAR. He completed his PhD at the International Max Planck Research School for Computational Biology and Scientific Computing (IMPRS-CBSC), supervised by Prof. Dr. Martin Vingron. His work focuses on Comparative Genomics and studying recurring motifs in non-coding DNA , with applications in stem cell biology and epigenetics. Education: B.Sc. in Bioinformatics, Freie Universität Berlin (2007). PhD in Computational Biology, IMPRS-CBSC (2012). Visiting student, University of Sheffield (2006). Research interests include analyzing gene regulatory elements, kinase-chromatin interactions, and computational methods for genomic analysis. His work bridges bioinformatics and experimental biology, with contributions to understanding embryonic stem cell regulation and intellectual disability genetics. Advising and grants: No documented advisees, but contributed to doctoral training through IMPRS-CBSC. Current projects include genomic studies at GIS, though specific grants are not listed here. Labs/Teams: Affiliated with GIS, which focuses on genomic research in health and disease.

• Drug Design
• Antimicrobial Peptides
• Antibody Drug Development
• +۵ مورد دیگر

Pin-Kuang Lai is an Assistant Professor in the Department of Chemical Engineering and Materials Science at Stevens Institute of Technology. He holds a PhD from the University of Minnesota (2018) and completed a postdoctoral fellowship at MIT (2018–2021). His research focuses on integrating machine learning, molecular simulations, and high-throughput screening to address challenges in drug design, particularly for antimicrobial peptides (AMPs) and monoclonal antibodies (mAbs). Key areas include improving AMP stability and reducing toxicity, optimizing antibody stability and viscosity for high-concentration formulations, and developing computational tools for early-stage drug discovery. Education: PhD in Chemical Engineering, University of Minnesota, 2018 Postdoctoral Research, MIT, Chemical Engineering, 2018–2021 Research Interests: Machine learning-driven biomanufacturing and biotherapeutics Antibody drug developability and stability prediction Metabolic flux analysis via AI integration AMP design for reduced bacterial resistance High-throughput screening for drug candidates Grants & Awards: Principal Investigator (PI) of multiple grants, including NIH ($191K), Janssen Research ($150K), and Department of Energy ($525K) Keynote speaker at AAPS NBC 2025 and Bioprocessing Summit 2024 Professional Activities: Editor for mAbs journal Reviewer for NIH study sections and professional societies Member of AAPS, AICHE, and ACS Consultant for AstraZeneca and Proteinea His lab emphasizes interdisciplinary approaches to advance biopharmaceutical development, with a focus on computational methods to streamline formulation and production processes.

Todd C. Hufnagelمشاهده پروفایل

استاد

• Structural Materials
• Nanomaterials
• X-ray Scattering
• +۳ مورد دیگر

Todd C. Hufnagel is a Professor of Materials Science and Engineering at Johns Hopkins University's Whiting School of Engineering. He serves as Associate Director of the Materials Science in Extreme Environments University Research Alliance (MSEE URA), a consortium addressing threats from chemical, biological, and nuclear weapons through material science research. His expertise includes structural materials, nanomaterials, X-ray scattering, and metals analysis. Dr. Hufnagel earned his BS in Metallurgical Engineering from Michigan Technological University (1989) and his MS and PhD in Materials Science and Engineering from Stanford University (1991 and 1995). He has been at Johns Hopkins since 1996. His research focuses on dynamic material behavior, fracture mechanics, and advanced imaging techniques like X-ray phase contrast imaging. Notably, he co-developed the AXIOM system, a cutting-edge tool for materials analysis, and contributed to the MSEE URA's mission to enhance material resilience in extreme conditions. His awards include the Whiting School of Engineering Teaching, Advising, and Mentoring Award. His work spans experimental and computational studies of metallic glasses, fracture processes, and parameter optimization for microstructural design. He collaborates widely, integrating data science tools like OpenMSIStream to streamline laboratory workflows.

• Plant Pathology
• Postharvest Diseases
• Spray Technology
• +۵ مورد دیگر

Marcel Wenneker is an active Researcher at Wageningen University & Research, affiliated with the OT Team Fruit-Bomen. His research centers on sustainable fruit production, with expertise in plant pathology, spray technology optimization, and postharvest management. He leads multiple national projects including LWV22227 (fruit rot control) and LWV20320 (sustainable fruit cultivation systems), while co-supervising PhD candidates like M. van Driel studying pear scab biology. Wenneker's research investigates: Disease dynamics of pathogens like Stemphylium vesicarium (brown spot) and Venturia pyrina (pear scab) Epidemiology of bacterial/fungal diseases in pome fruits and stone fruits Spray application technologies for drift reduction using PWM and precision systems Postharvest pathology and storage disorder management Molecular detection methods for pathogens including Neonectria ditissima His recent publications demonstrate strong focus on disease epidemiology (40%), spray technology innovation (30%), and sustainable orchard management (30%), with particular emphasis on integrated approaches combining biological, chemical, and technological solutions. Wenneker actively disseminates findings through workshops and industry collaborations, with notable media coverage on fruit tree canker management and pear disease control. He coordinates field trials evaluating spray systems (e.g., KWH Mistral, Dominiak Streamliner) and leads research on buffer strip harmonization for pesticide emission reduction.

• Magnetic Resonance Imaging
• Magnetic Resonance Spectroscopy
• Ultra-High Field MRI
• +۳ مورد دیگر

Aaron T. Hess is an Associate Professor at the University of Oxford, affiliated with the Wellcome Centre for Integrative Neuroimaging (WIN) and the Nuffield Department of Clinical Neuroscience (NDCN). His work focuses on advancing magnetic resonance imaging and spectroscopy methodologies, particularly at ultra-high field strengths. Education: BSc MSc (med) PhD Hess's research centers on Magnetic Resonance Imaging (MRI) and Spectroscopy (MRS), with emphasis on motion correction, ultra-high field RF safety, and parallel transmit simplification. He has pioneered contact-free methods for tracking head and heart motion and developed tools to streamline access to parallel transmit techniques at 7T MRI. His current efforts prioritize facilitating advanced imaging methodology development while enhancing usability and safety in ultra-high field applications. Analysis of his 2024-2025 publications reveals dominant themes in ultra-high field (7T) MRI innovation, including SNR optimization for perfusion imaging, vessel wall characterization, and multi-organ (brain/heart) RF mapping. Key methodological advances involve accelerated acquisition techniques, simulation-based optimization, and motion-robust approaches applied across neuroimaging and cardiovascular domains. No scientific awards were documented in the source material. Hess currently supervises DPhil candidates James Kent and Matthijs (Thijs) De Buck, with prior mentorship of Charles Millard, Sven Jaeschke, and Hongbae Jeong. Grant funding details were not specified in the provided information. He actively contributes to the Ultra High-Field MRI Physics and MR Spectroscopy research groups within the Neuromusculoskeletal Health and Science Lab at WIN, focusing on translating technical innovations into practical neuroimaging solutions.

• Healthcare Operations
• Operations Research
• Data Analytics in Accounting
• +۵ مورد دیگر

Sean Harris is an Assistant Professor in the Department of Accounting at the Jake Jabs College of Business & Entrepreneurship, Montana State University. His research focuses on healthcare operations, operations research, and data analytics in accounting. He holds a Ph.D. from Montana State University (2019), an M.S. from UC Berkeley (2015), and a B.S. from the United States Military Academy (2009). Key research areas include optimizing healthcare access in rural settings, surgical scheduling, and healthcare logistics. His work integrates operations research techniques to address disparities in obstetric care access for Indigenous populations and streamline sterilization processing in hospitals. Courses taught include Accounting Information Systems, Data Analytics for Accountants, and Applied Data Science. Recent publications span topics like gravity-based models for hospital accessibility, tray optimization in surgical departments, and Kaizen event improvements in sterile processing. His work has been recognized through awards like the 2023 Dean's Excellence Award and the 2020 Honorable Mention Best Paper Award. Research collaborations include projects on rural healthcare disparities, operating room scheduling efficiency, and healthcare inventory management in rural hospitals. He has contributed to interdisciplinary initiatives blending accounting analytics with healthcare operations.

• Neuroimaging
• Reproducible Research
• Computational Neuroscience
• +۳ مورد دیگر

Dorota Jarecka is a Research Scientist at the McGovern Institute for Brain Research at the Massachusetts Institute of Technology (MIT). Her work focuses on developing open-source software tools and frameworks to enhance reproducibility and scalability in neuroimaging research. She is a core contributor to initiatives like BIDS Apps, NiMARE, and Pydra, which aim to standardize and streamline neuroimaging data analysis workflows. Her research interests span neuroinformatics, reproducible research practices, computational neuroscience, and the development of scalable data management solutions. She actively contributes to consortia such as the NMIND consortium and the BRAIN Initiative Cell Census Network, promoting collaborative approaches to neuroimaging challenges. Jarecka’s publications highlight her expertise in large-scale neuroimaging analysis, meta-analysis techniques, and the integration of open science tools like DataLad and Datalad. She emphasizes the importance of human-in-the-loop systems and agentic frameworks (e.g., STRUCTSENSE) to improve structured information extraction in scientific workflows. Her work has advanced reproducibility through ontologies and provenance tracking (e.g., NIDM Experiment) and has addressed technical challenges such as software variability across operating systems. She is also involved in educational efforts, including Software Carpentry workshops on version control with Git. Jarecka’s contributions bridge computational methods with neuroscience, fostering collaboration between researchers, developers, and institutions to tackle complex neuroimaging and atmospheric science problems.