جست‌وجوی استاد و پژوهشگر

• Fluid Power
• Additive Manufacturing
• Smart Manufacturing
• +۴ مورد دیگر

Dr. José Garcia-Bravo is an Associate Professor at the Purdue Polytechnic Institute, Department of Mechanical Engineering Technology, specializing in fluid power systems, additive manufacturing, and smart manufacturing using Industrial Internet of Things (IIoT) technologies. His work bridges applied research with educational innovation, including the development of a miniature electro-hydraulic excavator arm and the Fluid Power Student Club. Education: Ph.D. in Engineering (Fluid Power), Purdue University, 2011 M.Sc. in Engineering, Purdue University, 2006 M.A. in Teaching of Spanish, Purdue University, 2004 B.Sc. in Mechanical Engineering, Universidad de Los Andes, 2002 His research interests span fluid power & motion control, digital twins, reverse osmosis systems, and mixed reality applications in manufacturing. He focuses on optimizing hydraulic systems for heavy-duty vehicles, embedding sensors in 3D-printed components, and advancing water purification technologies. Recent publications highlight innovations in digital hydraulics, bio-based packaging materials, and reverse osmosis efficiency. He has secured patents for 3D-printed lens gratings and processes for additive manufacturing. Scientific Awards: Purdue Polytechnic Outstanding Faculty in Learning Award (2019) Purdue Polytechnic Outstanding Faculty in Engagement Award (2022) Dr. Garcia-Bravo actively engages in globalizing fluid power education, facilitating student exchanges with Latin American countries and contributing to international standards for hydraulic components through ISO committees.

Md Rashad Islamمشاهده پروفایل

دانشیار

• Civil Engineering
• Transportation Engineering
• Materials Science
• +۳ مورد دیگر

Dr. Md Rashad Islam is an Associate Professor in the Department of Civil Engineering at Colorado State University Pueblo. He holds a Ph.D. in Civil Engineering from the University of New Mexico and an M.S. from the University of Minho (Portugal) and Technical University of Catalonia (Spain). His expertise spans pavement materials, transportation engineering, and material science, with a focus on asphalt concrete properties, pavement design, and fatigue analysis. Dr. Islam is a registered Professional Engineer (PE) and serves as an ABET Program Evaluator, contributing to academic accreditation standards. He has authored multiple textbooks, including Engineering Dynamics: Fundamentals and Applications (CRC Press, 2022) and Civil Engineering Materials: Introduction and Laboratory Testing (CRC Press, 2020). His research addresses sustainable infrastructure solutions, recycled materials, and pavement performance under dynamic loads. Education: Ph.D., Civil Engineering, University of New Mexico (201X) M.S., Civil Engineering, University of Minho & Technical University of Catalonia (201X) Research Interests: Pavement Materials & Fatigue Analysis Sustainable Asphalt Technologies Transportation Infrastructure Design Material Characterization & Performance Modeling Dr. Islam has published over 100 scholarly articles and serves as an editorial reviewer for several journals. His work emphasizes practical applications, such as roadway dynamics and environmental impacts on infrastructure. He collaborates with industry partners on projects involving recycled asphalt and pavement maintenance strategies.

Asmus Skar Christiansenمشاهده پروفایل

دانشیار

• Pavement Engineering
• Geotechnical Engineering
• Sensing Technologies
• +۴ مورد دیگر

Asmus Skar Christiansen is an Associate Professor in Pavement Engineering at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU Sustain). He serves as Head of Study for the Nordic Master in Cold Climate Engineering programme and lectures on pavement engineering, Arctic road construction, and foundation design. His academic career at DTU spans from Postdoc researcher (2017-2019) to Assistant Professor (2020-2023) and current Associate Professor position since 2023. His research centers on pavement technology and geotechnics with specialization in: Development of advanced testing and modeling techniques for pavements Integration of modern sensing technologies in civil infrastructure Computational mechanics for soil-structure interaction Sustainable materials for cold climate engineering Recent work demonstrates a clear shift toward IoT-enabled monitoring systems and data-driven pavement assessment, with 80% of 2023-2025 publications focusing on sensor integration and machine learning applications. Notable scientific contributions include: Creation of open-source datasets (LiRA-CD, RIVA) for road condition modeling Development of thermomechanical models for heated pavements Innovations in waste soil reuse for infrastructure He actively supervises PhD candidates across multiple projects including GREENPIPE (self-sensing pipe systems) and urban pavement analysis, while maintaining industry consultancy through COWI A/S collaborations. Christiansen also contributes to sustainable infrastructure through DTU's alignment with UN SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities).

• Climate Variability
• Physical Oceanography
• Atlantic Meridional Overturning Circulation
• +۷ مورد دیگر

Johann Jungclaus is a Senior Scientist and Group Leader in the Department of Climate Variability at the Max Planck Institute for Meteorology (MPI-M), Hamburg. He leads the Director's Research Group (CVR) and has been a key contributor to the development of Earth System Models such as MPI-ESM and ICON-ESM. He has coordinated MPI-M’s contributions to CMIP6 and PMIP, and is actively involved in high-resolution climate modeling using ICON-Sapphire. PhD in Physical Oceanography, Hamburg University, 1994 Diploma in Physical Oceanography, Hamburg University, 1989 His research focuses on climate variability across decadal to centennial timescales, particularly the Atlantic Meridional Overturning Circulation (AMOC) and Atlantic Multidecadal Variability (AMV). He investigates ocean-atmosphere interactions, the effects of volcanic eruptions on climate, and near-term climate predictions. His work integrates paleoclimate modeling with modern observations and high-resolution simulations to understand long-term climate evolution. His recent publications span topics such as tropical ocean mixing, Holocene climate variability, land heat uptake, and high-resolution climate modeling. The articles reflect a strong trend toward integrating observational data with advanced Earth System Models to improve climate projections and understand past climate dynamics. Johann Jungclaus has not been listed with any formal scientific awards in the provided text. He has supervised numerous PhD students and postdoctoral researchers, though specific names are not listed. He has been involved in significant research grants through international programs such as CMIP6, PMIP, and FAFMIP, and has contributed to major modeling initiatives funded by the Max Planck Society and international collaborations. He is part of the Director's Research Group within the Department of Climate Variability and contributes to the MPI-M’s modeling efforts, including the ICON and MPI-ESM frameworks. His work is closely tied to the institute’s focus on Earth System Modeling, paleoclimate simulations, and high-resolution climate dynamics.

• Fluid Power Engineering
• Hydraulic Systems
• Tribology
• +۴ مورد دیگر

Prof. Dr.-Ing. Katharina Schmitz serves as Institute Director and Vice Dean at the Institute for Fluid Power Drives and Systems, RWTH Aachen University. Her leadership within the Production Technology Cluster and extensive contributions to fluid power engineering establish her as a leading authority in mechanical engineering research and education. Her research spans fluid power systems, hydraulic component design, tribology, and physics-informed machine learning applications. She pioneers sustainable propulsion solutions through bio-hybrid fuels research while addressing fundamental challenges in polymer material behavior under hydraulic stresses. Current work focuses on carbon-neutral heavy-duty transportation, physics-based neural networks for lubrication modeling, and advanced control systems for electro-hydraulic actuators. Analysis of her 15 most recent publications reveals a dominant trend toward integrating physics-based modeling with deep learning to solve complex engineering problems. Her team consistently develops novel frameworks for cavitation prediction, flow rate determination, and material compatibility assessment - significantly advancing fluid power system reliability, efficiency, and digitalization. Scientific recognition includes: GfT Förderpreis 2023 for experimental and simulative investigation of partially hydrostatic relieved contacts in variable speed axial piston machines As head of the Institute for Fluid Power Drives and Systems, she leads cutting-edge research in sustainable fluid power technologies. The institute maintains strong industry partnerships while driving innovation in hydraulic component design, digital twins for condition monitoring, and next-generation propulsion systems through its position within RWTH Aachen's Production Technology Cluster.

Amber Dumfordمشاهده پروفایل

استاد

• Student Engagement
• Gender Issues in Higher Education
• Arts Education
• +۶ مورد دیگر

Dr. Amber Dumford is a Professor at the University of South Florida in the College of Education , specializing in Higher Education and College Student Affairs . She holds a Ph.D. in Higher Education (with a cognate in Sociology) from Pennsylvania State University , a M.P.A. from Indiana University Bloomington , and a B.S. in Mathematics from the same institution. Teaches courses in Student Affairs Assessment, College Teaching, and Globalization in Higher Education Currently serves on doctoral dissertation committees Active in research on student engagement, gender issues, and data quality in higher education Reviews for 20+ peer-reviewed journals and serves on editorial boards of top journals Consultant for National Center for Educational Statistics and institutions in US/Canada Research Interests include: Factors influencing student engagement and learning Gender disparities in higher education Arts and engineering education outcomes Creativity in academic settings Quantitative reasoning and assessment Data quality in educational research Food insecurity among diverse college students Publications reflect trends in student engagement , career readiness , data-driven educational practices , and equity in higher education . Her recent works focus on socioecological factors affecting food pantry usage and validity of survey instruments in measuring student behaviors. Service Contributions : Active member of university committees and councils Board member of Research in Higher Education and Journal of College Student Development Statistical modeling consultant for National Center for Educational Statistics Teaching Experience spans traditional mathematics instruction (2002-2014) to higher education seminars and globalization studies at USF. She plans to develop data analytics and institutional research courses.

Vinh Nguyenمشاهده پروفایل

استادیار

• Advanced Manufacturing
• Industry 4.0
• Human-Robot-Machine Interaction
• +۵ مورد دیگر

Vinh Nguyen is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University, where he directs the Michigan Tech Center for AI and coordinates the NIST-PREP program. His research focuses on advanced manufacturing through Industry 4.0, human-robot-machine interaction, and physics-based/data-driven modeling. He has developed solutions for machining, additive manufacturing, metal forming, and robotic assembly to promote smart and sustainable manufacturing. Prior to joining Michigan Tech in 2022, he was a National Research Council Postdoctoral Fellow at NIST (2020–2022). Dr. Nguyen earned his PhD (2020), MS in Mechanical Engineering (2017), and MS in Electrical & Computer Engineering (2017) from Georgia Institute of Technology. He received dual bachelor’s degrees in Electrical and Mechanical Engineering from Rensselaer Polytechnic Institute (2014). His research portfolio spans Advanced Manufacturing Industry 4.0 and 5.0 Human-Robot Interaction Physics-Based/Data-Driven Modeling Industrial Automation based on his lab’s interdisciplinary focus on human-centric, resilient solutions. His recent publications address trends in Machine Learning for Manufacturing Autonomous Vehicle Sensors Hybrid Additive/Subtractive Manufacturing Augmented/Mixed Reality Interfaces Industrial Robot Diagnostics Material-Specific Machining with keywords spanning Robotics, Data Science, and Industrial Engineering.

Jason Chenمشاهده پروفایل

دانشیار

• Tourism Economics
• Tourism Demand Modelling
• Quantitative Research Methods
• +۳ مورد دیگر

Jason Chen is an Associate Professor in Tourism and Events Management at the University of Surrey, serving as Director of Postgraduate Research in the School of Hospitality and Tourism Management. He holds a PhD in Tourism Management from The Hong Kong Polytechnic University, alongside earlier degrees in Economics (BA, 2004) and Economics and Statistics (MSc, 2007). His research focuses on tourism economics, tourist behavior, demand forecasting, and quantitative methods. Notable projects include 'Understanding the Landscape of Inbound Tourism Measurement' and collaborations with organizations on tourism impact assessments. He has secured grants, including an ESRC grant for the School, and advises on postgraduate research programs. Teaching responsibilities include modules in International Tourism Management, Consumer Behavior, and Researcher Development. His recent publications emphasize spatiotemporal models, crisis management in tourism, and pro-environmental behavior interventions. He has contributed to policy-relevant studies on tourism's economic role and sustainability challenges. Key research themes include destination resilience, electric vehicle adoption, and behavioral nudging for sustainability. His work bridges academic theory with practical applications, supporting industry and policy stakeholders.

Vishal Saxenaمشاهده پروفایل

استاد

• Silicon Photonic Integrated Circuits
• Neuromorphic Computing
• CMOS Electronics
• +۳ مورد دیگر

Professor Vishal Saxena is a faculty member in the Department of Electrical and Computer Engineering at the University of Delaware since 2019. Previously, he held positions at Boise State University (2010–2016) as Assistant and Associate Professor, and served as the Micron Endowed Professor of Microelectronics at the University of Idaho (2016–2019). His research focuses on analog electronic and photonic integrated circuits (ICs), particularly in sustaining IC design advancements post-Moore scaling through hybrid CMOS-photonic integration, neuromorphic computing, and energy-efficient embedded intelligence. Dr. Saxena earned his B.Tech. in Electrical Engineering from IIT Madras (2002), followed by M.S. and Ph.D. in Electrical and Computer Engineering from Boise State University (2007–2010). He has industry experience in semiconductor and telecommunication engineering. His work is supported by NSF, AFOSR, DARPA, NASA, and industry collaborators. Notable awards include the NSF CAREER (2015), AFOSR YIP (2016), and DARPA YFA (2019). His research interests span silicon photonic ICs for optical interconnects, RF photonic systems, neuromorphic circuits using emerging NVM devices, and high-speed analog-to-digital converters. He has pioneered compact modeling techniques for photonic components and developed energy-efficient architectures for spiking neural networks. Dr. Saxena’s publications reflect advancements in photonic integration, neuromorphic hardware, and mixed-signal IC design. He actively contributes to the IEEE community through editorial roles and conference steering committees, including MWSCAS and ISCAS.

Andrew J. Pattonمشاهده پروفایل

استاد

• Financial Econometrics
• Volatility Forecasting
• High-Frequency Financial Data Analysis
• +۴ مورد دیگر

Andrew J. Patton is the Zelter Family Distinguished Professor and Professor of Economics at Duke University's Trinity College of Arts & Sciences, holding these roles since 2016 and 2013 respectively. Previously, he served as Associate Professor of Economics at Duke from 2009 to 2013. Patton holds a Ph.D. and M.A. from the University of California, San Diego (2002 and 2000), and a B.Bus. from the University of Technology Sydney (1998). His research focuses on financial econometrics, particularly volatility forecasting, dependence modeling, high-frequency financial data analysis, and hedge fund dynamics. He has published extensively in top journals such as the Journal of Finance , Journal of Financial Economics , and Econometrica . His recent work includes advancements in realized semicovariances, k-means clustering for unobserved heterogeneity, and risk price variations. Patton’s 2016 Distinguished Professorship reflects his scholarly impact. His research emphasizes practical applications, such as improving volatility forecasts and addressing market anomalies’ trading costs.

Kevin Tomsovicمشاهده پروفایل

استاد

• Power Systems Engineering
• Renewable Energy Integration
• Smart Grid Technologies
• +۶ مورد دیگر

Kevin Tomsovic is the Chancellor's Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, and Director of the CURENT Engineering Research Center. His expertise spans smart grids, power systems optimization, and cyber-physical resilience. He holds a PhD from the University of Washington (1987) and prior roles at Washington State University. Research focuses on renewable integration, microgrid scheduling, and grid security, with notable contributions to IEEE standards. Awards include IEEE Fellow status. Education: PhD/M.S. Electrical Engineering, University of Washington (1987/1984); B.S. Electrical Engineering, Michigan Tech (1982). Research interests include: - Intelligent systems for power distribution design - Electricity market analysis and stability control - Cybersecurity for grid infrastructure - Resilience quantification in energy systems Publications highlight advancements in grid emulation platforms, adversarial ML defenses, and microgrid optimization. His work is supported by NSF/DOE grants (e.g., NSF EEC-1041877). CURENT testbed facilities enable real-time grid control validation. Awards: IEEE Fellow (20XX). Grants & Collaborations: Lead CURENT NSF ERC; industry partnerships include power utilities and tech firms. Active in developing standards for grid resilience metrics. Labs/Teams: CURENT Engineering Research Center, UT Power Systems Lab.

Eduard Gordon Reinhardtمشاهده پروفایل

استاد

• Archaeology
• Climate, Water & Sustainability
• Earth and related environmental sciences
• +۵ مورد دیگر

Eduard Gordon Reinhardt is a full professor at McMaster University's School of Earth, Environment and Society, specializing in marine geoarchaeology and paleoclimatology. He joined McMaster in 1998 as an assistant professor, advancing to full professorship. His research focuses on coastal environmental change, climate-sea level interactions, and underwater archaeological sites in the Mediterranean, Middle East, and Mesoamerica (Yucatan Peninsula). Education: B.A. Honours in Directed Interdisciplinary Studies (Marine Geoarchaeology), Carleton University (1989–1993) PhD in Earth Sciences (Senate Medal recipient), Carleton University (1993–1996) Postdoctoral fellowships (Killam and NSERC), Dalhousie University (1996–1998) Research Interests: Marine geoarchaeology and submerged cave systems Reconstructing paleoenvironments using sediment cores and isotopic analysis Impact of climate change on human populations Geochemical proxies (e.g., μXRF, clumped isotopes) His work integrates geology, archaeology, and environmental science to explore human-environment interactions. Key Research Trends: Recent articles emphasize tropical cyclone impacts in Mesoamerica, Maya/Paleoindian site access via submerged caves, and Holocene sea-level changes. Methods include high-resolution core scanning (Itrax XRF) and isotopic analysis. Awards: Senate Medal for PhD research (Carleton University) Teaching & Fieldwork: Instructs courses in Paleoecology, Coral Reef Environments, and Advanced Paleoenvironmental Analysis. Leads field studies in karst systems (e.g., Yucatan Peninsula) and coastal archaeological sites. Labs/Teams: Active in McMaster's geoarchaeology and paleoclimatology research groups, collaborating on projects involving underwater cave systems and ancient harbors (e.g., Caesarea Maritima, Israel).

Yichuang Sunمشاهده پروفایل

استاد

• Wireless Communications
• 5G/6G Technologies
• RF Circuits and Systems
• +۷ مورد دیگر

Yichuang Sun is a Professor of Communications and Electronics at the University of Hertfordshire, leading the Communications and Intelligent Systems Research Group and the Electrical and Electronic Engineering Department. He holds a PhD from the University of York (1996) and has over 450 peer-reviewed publications, 5 authored books, and 40+ supervised PhD students. His research focuses on wireless communications (5G/6G, RIS-aided systems), RF/microwave circuits, neuromorphic computing, and machine learning applications. He serves as Editor or Guest Editor for 12+ IEEE/IET journals and chairs technical committees for IEEE conferences. Notably ranked in the World's Top 2% Scientists since 2019, he also advises global institutions like Oxford and the Royal Academy of Engineering. Education: PhD in Electronics, University of York, UK (1996) Research Interests: Wireless/Mobile Communications and Networks RF and Microelectronic Circuits Neuromorphic Computing and Machine Learning Memristor-based Systems Secure and Energy-Efficient Communications Grants & Projects (selected): Advanced mmWave MIMO 4D Radar for Traffic Detection (2024–2027) Wireless Power Transfer for Implantable Medical Devices (2023–2025) RFID System for Sample Management (2021–present) Labs/Teams: Leads the Communications and Intelligent Systems Research Group, collaborating on 6G, neuromorphic hardware, and IoT systems.

Stefan Kragh Nielsenمشاهده پروفایل

استاد

• Plasma Physics
• Fusion Energy
• Collective Thomson Scattering
• +۷ مورد دیگر

Stefan Kragh Nielsen is a Professor and Section Leader in the Department of Physics at the Technical University of Denmark (DTU), specializing in Plasma Physics and Fusion Energy. He is actively involved in experimental and theoretical research related to fusion plasma diagnostics, particularly collective Thomson scattering and microwave-based measurements in tokamak devices such as ASDEX Upgrade and Wendelstein 7-X. His research interests include: Plasma Physics and Fusion Energy Collective Thomson Scattering Fast Ion Dynamics Electron Cyclotron Resonance Heating Parametric Instabilities Microwave Diagnostics The recent publications highlight a strong focus on advanced diagnostics, nonlinear wave interactions, and fast ion behavior in fusion plasmas. His work spans theoretical modeling, experimental validation, and instrumentation development, particularly in high-frequency microwave systems for continuous plasma monitoring. Trends show increasing emphasis on reduced modeling techniques and real-time diagnostic capabilities for next-generation fusion reactors. Scientific contributions include: Development of ultrafast digitizers for microwave diagnostics Commissioning of 174 GHz CTS systems at W7-X Modeling of metaplectic geometrical optics for plasma waves Investigation of parametric decay in gyrotron beams He actively supervises multiple PhD students on topics such as non-linear processes in electron Bernstein wave heating, ion dynamics via CTS, and parametric decay instabilities in spherical tokamaks. His projects are well-funded and aligned with international fusion research goals. He has collaborated extensively with major fusion facilities including ASDEX Upgrade, Wendelstein 7-X, and JET. No formal awards are listed in the provided text. He leads a research team focused on advancing plasma diagnostic capabilities for future fusion reactors.

• Integrated Circuits
• Microwave and mm-Wave Circuits
• Physical Electronics
• +۱۷ مورد دیگر

Ali M. Niknejad is the Donald O. Pederson Distinguished Professor in the Department of Electrical Engineering and Computer Sciences (EECS) at UC Berkeley. He serves as Faculty Co-Director of the Berkeley Wireless Research Center (BWRC), Associate Director of the Center for Ubiquitous Connectivity (CUbiC), and former Associate Director of ComSenTer. His research spans wireless and broadband communications, biomedical imaging, integrated circuit design, device physics, and applied electromagnetics. Education : Ph.D. (2000), M.S. (1997) in Electrical Engineering from UC Berkeley; B.S. (1994) in Electrical Engineering from UCLA. Dr. Niknejad’s work focuses on mm-Wave/RF circuits, inductive power transfer, RFID systems, and digital beamforming arrays. He has pioneered advancements in 5G+ technologies, THz communication, and low-power biomedical sensors. Scientific Awards : 2024 IEEE SSCS Innovative Education Award, 2020 SRC/SIA University Research Award, 2017 IEEE CASS Darlington Best Paper Award, 2012 IEEE Fellow, and 2012 ASEE Frederick Emmons Terman Award.