جست‌وجوی استاد و پژوهشگر

Riccardo Sprocatiمشاهده پروفایل

پژوهشگر

• Environmental Engineering
• Computational Modeling
• Machine Learning
• +۵ مورد دیگر

Riccardo Sprocati is a PostDoc researcher at the Technical University of Denmark (DTU), specializing in electrokinetic remediation technologies and multiphysics reactive transport modeling. His work addresses environmental challenges through advanced computational frameworks and sustainable resource recovery applications. Research Interests: Electrokinetic remediation of contaminated sites In situ mining of critical metals Multiphysics reactive transport modeling Surrogate and machine learning models Life cycle assessment (LCA) Publication Trends: His recent work focuses on electrokinetic transport dynamics in porous media, integrating machine learning with process-based models for bioremediation, and sustainable mining via electrokinetic recovery of metals from mine tailings. Key themes include electromigration/electroosmosis interplay, temperature-dependent transport, and geochemical coupling in heterogeneous systems.

Shawn Kennyمشاهده پروفایل

استاد

• Civil Infrastructure Resilience
• Geohazard Engineering
• Climate Change Adaptation
• +۶ مورد دیگر

Shawn Kenny is a Professor in the Department of Civil and Environmental Engineering at Carleton University , Ottawa, Canada. His work focuses on geohazard impacts on civil infrastructure and climate change adaptation for pipelines, railways, and roads. Research Interests : Climate change effects on infrastructure, finite element analysis, remote sensing, and Arctic engineering. Teaching : Courses in finite element methods, mechanics of solids, and design projects. Publications address pipeline-soil interaction, ice gouge hazards, and material degradation. His team integrates multi-disciplinary approaches combining geotechnical engineering, mechanical analysis, and environmental studies. Contact: shawn.kenny@carleton.ca

• Renewable Energy
• Solar Power
• Hydrogen Energy
• +۷ مورد دیگر

Davide Papurello serves as an Associate Professor in the Department of Energy (DENERG) at Politecnico di Torino, where he is a member of the Interdepartmental Center Ec-L - Energy Center Lab. He actively participates across multiple academic colleges including the College of Chemical and Materials Engineering (as invited member), College of Electrical and Energy Engineering (as full member), and College of Mechanical, Aerospace, and Automotive Engineering (as invited member). His research spans multiple critical energy domains including concentrated solar power, hydrogen and SOFC systems, lithium-ion battery technologies, tunnel safety, and thermodynamic systems. His specific research lines focus on syngas production through solar power, biogas purification for SOFC systems, battery stress abuse analysis, and safety of new energy carriers in confined spaces like road tunnels. Dr. Papurello's recent publications reveal strong emphasis on safety aspects of emerging energy technologies, particularly concerning battery electric vehicles and hydrogen applications in tunnel environments. His work bridges experimental and modeling approaches across renewable energy conversion, storage, and safety engineering. Mentoring Polito Project (M2P) certification (July 2023) Learning to Teach (L2T) certification (February 2023) He supervises approximately 20 master's theses, 40 bachelor's theses, and 10 curricular internships annually. His teaching spans multiple courses including Ventilation and Tunnel Safety (PhD level), Energy Systems Laboratory, New Battery Systems for Mobility, and Applied Thermodynamics across various engineering programs. He is actively involved in international collaborations through the UNITE! Alliance, developing summer schools on energy carrier safety in tunnels.

Ehsan Ghazanfariمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Geo-energy Systems
• Geoenvironmental Engineering
• +۴ مورد دیگر

Ehsan Ghazanfari is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Vermont (UVM), within the College of Engineering and Mathematical Sciences. He holds dual roles as UVM's Sustainability Fellow and Fellow of the Gund Institute for Environment. His research focuses on geotechnical and geoenvironmental engineering, with an emphasis on geoenergy systems (e.g., geothermal, shale energy, CO2 storage) and subsurface sensing technologies (e.g., intelligent compaction, extraterrestrial regolith characterization). Dr. Ghazanfari earned his Ph.D. in Civil Engineering from Lehigh University. He has mentored 6 graduate and over 10 undergraduate students since joining UVM in 2013. He teaches courses such as CE 180 (Geotechnical Principles), CE 285 (Geo-energy Systems), and CE 395 (Environmental Geotechnics). His research integrates theoretical and experimental methods, leveraging advanced instruments for studies on fracture mechanics, subsurface energy systems, and environmental protection. Key areas include: 1) geomechanical behavior of energy-related rocks (e.g., Marcellus Shale, sandstone), 2) CO2 sequestration impacts on rock properties, and 3) sensor networks for subsurface monitoring. Recent work explores data analytics for seismic risk assessment and sustainable material applications. Notable achievements include developing calibration models for geothermal energy piles and advancing electrodialysis methods for shale gas wastewater treatment. His awards reflect institutional and environmental leadership roles within UVM's sustainability initiatives.

Jeff Frolikمشاهده پروفایل

استاد

• Wireless Communications
• Sensor Networks
• Distributed Control Algorithms
• +۵ مورد دیگر

Jeff Frolik is a Professor in the Department of Electrical and Biomedical Engineering at the University of Vermont. He holds a Ph.D. in Electrical Engineering from the University of Michigan, an M.S. from the University of Southern California, and a B.S. from the University of South Alabama. His research focuses on wireless communications, sensor networks, and distributed control algorithms, with applications in environmental monitoring, energy systems, and infrastructure health. Frolik has authored over 150 peer-reviewed publications, secured 12 patents, and co-founded Packetized Energy, a cleantech startup acquired by EnergyHub in 2021. Education: Ph.D. in Electrical Engineering (Systems), University of Michigan, 1995 M.S. in Electrical Engineering, University of Southern California, 1988 B.S. in Electrical Engineering, University of South Alabama, 1986 Research Interests: Wireless communication systems in complex environments Harmonic transponders for passive sensing and channel characterization Packetized energy management for smart grids IoT networks and antenna diversity techniques Awards: IEEE Outstanding Teaching Award (2015) Green Mountain Section Faculty of the Year (2011) TTU Innovation and Creativity Awards (2002, 2000) Hughes Aircraft Fellowship (1991–1994) Professional Experience: Co-founder of Packetized Energy (cleantech startup) Research sabbaticals at UC Santa Barbara's SNARL and University of Oxford Fulbright Distinguished Chair at Czech Technical University (2017, 2022) Labs/Teams: Active in developing harmonic transponder technology, wireless sensor networks, and grid coordination systems.

Babak Jamhiriمشاهده پروفایل

پژوهشگر

• Structural Health Monitoring
• Geotechnical Engineering
• Machine Learning Applications in Civil Engineering
• +۳ مورد دیگر

Babak Jamhiri holds a Doctoral Researcher position with expertise in structural health monitoring and reliability analysis. He is affiliated with the 3DCP and Construction Automation Research Group, focusing on AI-driven simulations, infrastructural risk assessment, and probabilistic modeling. His research spans geoenvironmental reliability, machine learning algorithms for signal processing, and risk assessment in construction materials. Education: BSc, MSc, and PhD in relevant disciplines (institutions unspecified). Current projects include structural health monitoring of 3DCP components, machine learning for signal processing, and probabilistic crack propagation in problematic soils. Recent work involves performance assessment of post-tensioned concrete beams and developing compressed earth bricks with marl sediment. Research interests emphasize geotechnical challenges such as expansive soils, desiccation cracking, and soil stabilization using industrial byproducts. He explores Bayesian inference, Markov decision chains, and fractal approaches in clay-based materials for nuclear waste disposal applications. Contributions include YouTube tutorials on information value theory, signal processing for anomaly detection, and probabilistic modeling with R. His work bridges theoretical advancements with practical engineering solutions, emphasizing uncertainty quantification and decision-making under uncertainty.

Mohammad Omar Faruk Muradمشاهده پروفایل

پژوهشگر

• Soil Spectroscopy
• Digital Soil Mapping
• Remote Sensing
• +۴ مورد دیگر

Mohammad Omar Faruk Murad is a Research Assistant Professor in the Department of Biological Systems Engineering at the University of Nebraska-Lincoln. His work focuses on applying sensor technologies and machine learning to soil and agricultural monitoring. Ph.D., School of Life and Environmental Sciences, The University of Sydney Masters by Research, Geotechnical Engineering, Universiti Kebangsaan Malaysia (UKM) B.Sc., Civil Engineering, Ahsanullah University of Science and Technology Murad specializes in VisNIR and MIR spectroscopy for soil organic carbon prediction, digital soil mapping, and remote sensing for precision agriculture. His research addresses spatial variability in soil properties and carbon sequestration through advanced sensor systems. His recent publications emphasize machine learning integration with spectroscopy, soil bulk density modeling, and low-cost sensor applications for agricultural management. These works span soil science, remote sensing, and sensor technology. Soil Science Society of America Australian Society of Soil Science European Geosciences Union

• Environmental biotechnology
• In situ bioremediation
• Biological treatment processes
• +۳ مورد دیگر

Eric A. Seagren is a Professor of Civil, Environmental, and Geospatial Engineering at Michigan Technological University, with an affiliated appointment in Biological Sciences. His expertise lies in environmental biotechnology and bioremediation, with over two decades of impactful research and teaching. Education: Ph.D. in Environmental Engineering, University of Illinois at Urbana-Champaign (1994) Research Focus: Dr. Seagren's research spans several critical areas in environmental engineering, including: In situ bioremediation of contaminated subsurface environments Monitoring and evaluation of biological treatment processes Development of in situ biological treatment systems for urban storm water runoff Innovative reuse of waste materials Microbially-mediated improvement of soil properties His work integrates fundamental science with practical engineering solutions, addressing challenges in contamination, sustainability, and environmental protection. Scientific Recognition: Lilly-Center for Teaching Excellence Fellowship (1998-1999) Student Mentorship: Dr. Seagren has successfully mentored numerous graduate students, including 3 PhD and 14 MS students, fostering the next generation of environmental engineers. Laboratory and Research Teams: He leads research initiatives in environmental biotechnology, collaborating with interdisciplinary teams to develop sustainable solutions for environmental challenges.

Huang Zhujunمشاهده پروفایل

مدرس

• Fluid Mechanics
• Multiphase Flow
• Biofilm Dynamics
• +۳ مورد دیگر

Zhujun Huang is a Lecturer at the University of Grenoble Alpes, affiliated with the LEGI laboratory (UMR 5519). He is a core member of the EDT Team focusing on Two-Phase Flows and Turbulence, contributing to experimental and numerical studies in multiphase systems. His research spans fluid mechanics, biofilm dynamics, and particle-bubble interactions, with particular emphasis on turbulence modeling and industrial flow applications. Research interests include: Experimental analysis of multiphase flow phenomena Biofilm formation under hydrodynamic conditions Fluid-structure interactions in complex systems Development of novel measurement techniques (e.g., Doppler optical probes) Publications highlight contributions to: Fluidic oscillator dynamics Bubble column hydrodynamics Coaxial atomization processes X-ray tomography for biofilm visualization His work leverages advanced experimental setups such as the LEGI hydrodynamic tunnel and PREVERO loop, enabling investigations into gravitational currents, cavitation erosion, and turbulent flow control. Collaborations include projects on porous media permeability and environmental engineering applications.

• Construction Management
• Digitalization in Construction
• Carbon-Neutral Construction
• +۲ مورد دیگر

Leopold Winkler is a Lecturer at the Institute for Construction Management and Economics at TU Wien. His research focuses on sustainable construction practices, digital transformation in building processes, and carbon-neutral construction site management. Research interests span: Optimization of construction workflows through digital tools like BIM Emission reduction strategies for construction machinery Economic analysis of labor markets in public construction projects Development of parametric models for infrastructure projects Publications demonstrate strong focus on: Sustainable construction methods (67% of recent works) Digital documentation systems (20%) Economic analysis of construction markets (13%)

• Civil Engineering
• Sustainable Materials
• Road Pavement Engineering
• +۴ مورد دیگر

Volkan Emre Uz is an Associate Professor in the Department of Civil Engineering at İzmir Technical University. His research focuses on sustainable materials in civil engineering applications, pavement engineering, and recycling of industrial by-products. He holds a PhD from Süleyman Demirel University in Civil Engineering, following B.S. and M.S. degrees from the same institution. Key research areas include skid resistance optimization, bitumen modification using waste materials (engine oil, cooking oil), and geotechnical analysis of subgrade stabilization. He has extensively studied aggregate properties using advanced techniques like artificial neural networks and image processing. Recent publications (2020-2025) emphasize sustainability in road construction, with notable contributions on waste paper sludge stabilization, SMA surface texture analysis, and smart card data for transit behavior studies. His work bridges material science with practical engineering solutions for safer, durable infrastructure systems. No specific grants or awards are listed, though his active publication record indicates sustained research activity. He advises on projects related to pavement performance and has collaborated on geogrid applications for low-bearing subgrades.

Dylan C. Burnsمشاهده پروفایل

استاد پژوهشی

• Ground Penetrating Radar (GPR)
• Electromechanical Systems Design
• RF Signal Processing
• +۵ مورد دیگر

Dylan C. Burns is a Research Professor in the Department of Mechanical Engineering at the University of Vermont. He holds a Ph.D., M.S., and B.S. in Mechanical Engineering from the University of Vermont (2011, 2006, 2002). His research focuses on Ground Penetrating Radar (GPR) for subsurface detection, electromechanical device design, and RF signal processing. Burns founded dbgear LLC in 2016 and holds patents for innovations in GPR systems and vibrating magnet antennas. He teaches courses including Statics (CEE 1100), Dynamics (ME 1120), Mechanics of Solids (ME 1140), and System Dynamics (ME 2120). His technical expertise spans prototype development, MATLAB/SolidWorks proficiency, and hands-on laboratory testing. Burns' work emphasizes real-time data integration, with applications in civil infrastructure monitoring and augmented reality visualization systems. His research has produced over 20 peer-reviewed publications since 2017, focusing on advanced radar technologies, sensor fusion, and subsurface imaging. He collaborates on projects involving phased array systems, orbital angular momentum (OAM) radar, and magnetic sensing innovations for urban environments.

• Machine Learning
• Cybersecurity
• Bayesian Networks
• +۵ مورد دیگر

Zhou Zhou is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on machine learning, adversarial robustness, Bayesian networks, and cybersecurity. He explores topics such as test-time adaptation, neural network robustness, and graph-based methods. Zhou has contributed to advancements in stochastic neural networks, feature distribution optimization, and multi-relation extraction for cybersecurity applications. His work bridges theoretical foundations and practical implementations in domains like combat network analysis and structural deformation monitoring. Education details are not explicitly provided in the text, but his research spans interdisciplinary areas including artificial intelligence, data science, and network analysis. His publications address challenges in model generalization, adversarial defense, and optimization algorithms. Zhou's research trends emphasize robustness in machine learning models, with a focus on adapting to real-world data variations. His work on Bayesian networks integrates ensemble methods and edge constraints to improve structure learning. In cybersecurity, he applies ontology-enhanced learning and graph theory to extract multi-relation insights. Recent articles highlight innovations in DAG learning, confidence calibration, and hybrid remote sensing techniques for infrastructure monitoring. He has no listed awards or grants mentioned in the text. His affiliations include Queen Mary's School of Electronic Engineering and Computer Science, where he contributes to research groups focused on AI, cybersecurity, and computational methods.

Io Ioannidiمشاهده پروفایل

استاد مهمان

• Earth Sciences
• Geophysics
• Numerical Modeling
• +۳ مورد دیگر

Io Ioannidi is a Visiting Professor at the Department of Earth Sciences, Faculty of Science, Vrije Universiteit Amsterdam. Her research focuses on numerical modeling in geophysics, environmental science, and atmospheric chemistry, with emphasis on Arctic aerosols, climate dynamics, and tectonic processes. She collaborates internationally on projects involving granular media deformation and plate interface metasediments. Research interests include: Geophysical numerical simulations (Discrete Element Methods, 3D modeling) Arctic atmospheric phenomena (black carbon, aerosols, haze) Tectonic processes and metasedimentary rock behavior Climate change impacts and global dimming/brightening patterns Recent studies explore wintertime Arctic air pollution patterns over Alaska, methane emission estimation via inverse models, and ancient slip events revealed through garnet fracturing analysis. Scientific contributions include 15+ peer-reviewed articles since 2020. No academic awards explicitly mentioned in available texts. No formal advisees listed. Collaborations include international teams working on granular media mechanics and Arctic atmospheric modeling.

• Computer Vision
• Image Processing
• Machine Learning
• +۵ مورد دیگر

Akshaya Mishra is an Adjunct Assistant Professor affiliated with the Vision and Image Processing Lab at the University of Waterloo. Her research interests span computer vision, machine learning, blast engineering, and interdisciplinary applications of data science across environmental, biomedical, and socioeconomic domains. She holds a contact email at amishra@miovision.com and has contributed to over 50 peer-reviewed publications since 2022. Her work integrates computational methods with real-world challenges, including sustainable development, healthcare innovation, and resource management. Research areas include advanced imaging techniques, blast vibration modeling, and policy analysis for rural development. Key contributions include bibliometric studies on financial inclusion, AI-driven healthcare diagnostics, and optimization frameworks for engineering systems. Her articles address global issues such as aging populations in India, agripreneurship in Nepal, and material science advancements in additive manufacturing. Though no formal awards or grants are listed, her publications reflect a collaborative approach with industry and academia, particularly in interdisciplinary problem-solving. Ongoing projects include environmental impact assessments of blasting operations and machine learning models for climate-sensitive agricultural planning.