جست‌وجوی استاد و پژوهشگر

• Granular Mechanics
• Mechanical Engineering
• Neutron Diffraction
• +۵ مورد دیگر

Associate Professor Christopher Wensrich is a faculty member in the School of Engineering at the University of Newcastle, Australia, specializing in Mechanical Engineering. He has a strong background in applied mechanics from both computational and experimental perspectives, with significant expertise in granular mechanics, neutron diffraction strain measurement, and Bragg-edge transmission strain tomography. Education: PhD, University of Newcastle Bachelor of Mathematics, University of Newcastle Bachelor of Engineering, University of Newcastle Professor Wensrich's research focuses on several interconnected areas within mechanical engineering and materials science. His primary expertise lies in granular mechanics, spanning from micromechanics and homogenization of granular systems to analytical modeling of granular dynamics (particularly the silo quaking problem) and computational modeling using the Discrete Element Method (DEM). He is also a pioneer in applying neutron diffraction strain scanning techniques to granular systems. In the broader field of applied mechanics, he has made significant contributions to neutron diffraction-based strain measurement, including breakthroughs in Bragg-edge Transmission Strain Tomography, where he demonstrated the world's first practical application outside of simple axisymmetric systems. His publication record demonstrates a consistent focus on developing and applying advanced techniques for strain measurement and reconstruction in granular and composite materials. His recent work has centered on tomographic reconstruction methods using neutron diffraction, with particular emphasis on Bragg-edge techniques for 2D and 3D strain field reconstruction. His research bridges theoretical mathematics, computational methods, and experimental validation, creating a robust framework for non-destructive stress measurement in complex materials. Professional Recognition: President of the Australian Neutron Beam User Group (ANBUG) since December 2022 Member of the ACNS Program Advisory Team at ANSTO (Australian Nuclear Science and Technology Organisation) since March 2019 Visiting Fellow at Clare Hall College, Cambridge University (January-June 2023) Visiting Researcher at Isaac Newton Institute for Mathematical Sciences (January-June 2023) Professor Wensrich has secured substantial research funding, with a total of $5,478,793 across 42 grants. His funding portfolio includes projects from the Australian Research Council (ARC), ANSTO, and international partners like Oakridge National Laboratory and Japan Proton Accelerator Research Complex. He has successfully supervised 11 PhD and Masters students to completion, with research topics spanning granular mechanics, conveyor systems, and neutron strain tomography. His current research involves collaborations with institutions worldwide, focusing on advanced strain measurement techniques and their application to complex material systems.

Vanessa Magnanimoمشاهده پروفایل

استاد

• Discrete Element Method (DEM)
• Soil Micromechanics
• Granular Materials
• +۴ مورد دیگر

Vanessa Magnanimo is a Full Professor at the MESA+ Institute, University of Twente, specializing in the micromechanics of granular materials and clays using advanced Discrete Element Method (DEM) simulations . Her research bridges micro- and macro-scale behavior of soils, focusing on computational modeling , small-strain stiffness , and material stabilization . She has led 107 research outputs and 2 datasets , including studies on wet granular systems , bio-cemented soils , and vegetated soil mechanics . Recent work includes 2025 publications on coarse-grained DEM and mixing indices in industrial processes. Notable activities include keynote talks at international events (2018–2020), visiting researcher appointments at institutions like 3SR Laboratory (2017) and Politecnico di Bari (2020), and editorial contributions. Her research spans geotechnical engineering , powder technology , and multi-scale modeling , with applications in soil stabilization , industrial powder handling , and eco-mechanical systems .

• Geotechnical Engineering
• Soil Mechanics
• Rock Mechanics
• +۶ مورد دیگر

Dr. Budi Zhao is a Lecturer/Assistant Professor in the School of Civil Engineering at University College Dublin since August 2020. He holds a PhD from City University of Hong Kong (2017) and has held academic positions at Imperial College London (Research Associate, 2019–2020) and King Abdullah University of Science and Technology (Postdoctoral Fellow, 2017–2019). His research focuses on multi-physics processes in soil and rock, employing advanced techniques like X-ray micro-tomography (μCT), microfluidics, and numerical modeling (e.g., DEM and CFD-DEM). Key areas include crushable sands, desiccation cracking, fines migration, and energy geotechnics. He serves on ISSMGE committees TC105 and TC308, and is a member of the editorial board of the Journal of Rock Mechanics and Geotechnical Engineering . His research outputs span topics such as 3D printed composites, microplastic transport, and internal erosion mechanisms. Notable projects include grants on multi-scale analysis of clays and salt precipitation effects. Dr. Zhao coordinates modules like Geotechnical Engineering and Soil Mechanics at UCD, emphasizing innovative teaching methods like flipped classrooms. His work bridges fundamental science and engineering applications, with a focus on sustainable geotechnical solutions. Education: PhD (City University of Hong Kong, 2017), B.Eng (Chongqing University), Professional Certificate in University Teaching (UCD). Grants: Includes funding for offshore wind energy anchors and carbon geological storage projects. Advising: Supervises multiple PhD students in geomechanics and energy geotechnics. Labs/Teams: Leads research using state-of-the-art facilities for μCT imaging and microfluidics.

Martin Servinمشاهده پروفایل

دانشیار

• Digital Physics
• Computational Modelling
• Robotics
• +۳ مورد دیگر

Martin Servin is an Associate Professor at the Department of Physics, Umeå University, and leads the Digital Physics research group within the UMIT Research Lab. His work focuses on computational modeling and simulation of granular materials, robots, and vehicles, with applications in AI-based control and perception. He holds a doctoral degree from Umeå University (2003) and has pioneered research in real-time physics simulation, particularly in the context of autonomous machinery and off-road robotics. Research Interests : Digital physics, granular materials simulation, autonomous systems, reinforcement learning, and simulation-to-reality transfer. His group develops advanced simulation tools for industries like forestry, mining, and construction. Key Projects : Mistra Digital Forest (2019–2026) AILUR (Digital Twin for AI-controlled Lunar Robotics) XSCAVE (Explainable, Safe Control for Heavy Machinery) Publications emphasize simulation methodologies, AI integration, and real-world validation across robotics, vehicle dynamics, and granular mechanics. Notable contributions include work on wheel loader dynamics, deep reinforcement learning for control systems, and terrain modeling. Awards include the Spin-off award for industry-grade physics in Unreal Engine (2018) , recognizing his role in Algoryx Simulations, a spin-off company commercializing his research. Labs/Teams : UMIT Research Lab, Digital Physics Group, and collaborations with Algoryx Simulations.

Sai Sandeep Chittaمشاهده پروفایل

استادیار

• Geotechnical Engineering
• Granular Mechanics
• Environmental Engineering
• +۶ مورد دیگر

Dr. Sai Sandeep Chitta is an Assistant Professor in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University (MTU), with an affiliated position in Geological and Mining Engineering and Sciences. Prior to MTU, he held postdoctoral roles at Oregon State University (OSU) and the University of Arkansas, where he contributed to industry-sponsored projects on coastal dune protection and DEM model calibration funded by the U.S. Army Corps of Engineers. He earned his PhD in Civil Engineering from City University of Hong Kong (2019) and MTech/BTech degrees from Indian institutions. His research focuses on granular mechanics across scales, bio-mediation techniques for soil improvement, and biomimetic geotechnics. Key projects include developing biocementation methods for coastal resilience and computational models for granular material behavior. He has secured over $240,000 in industry funding and co-authored multiple influential studies in geotechnical journals. Education: PhD, Civil Engineering, City University of Hong Kong (2019) MTech, Geotechnical Engineering, Indian Institute of Technology Guwahati (2016) B.Tech, Civil Engineering, Jawaharlal Nehru Technological University (2013) His work integrates experimental and computational methods, addressing challenges in sustainable infrastructure, geo-hazard mitigation, and biomimetic engineering. Notable awards include the Ringo Yu Prize for Best PhD Thesis (2020) and Editor’s Choice Selection in the Canadian Geotechnical Journal (2020). Dr. Chitta actively collaborates with industry and serves as a technical reviewer for journals like Géotechnique and ASTM. He also contributed to educational initiatives at OSU, shaping general education curricula.

Benjamin Cerfontaineمشاهده پروفایل

دانشیار

• Offshore Renewable Energy
• Geotechnical Engineering
• Numerical Modelling
• +۳ مورد دیگر

Dr Benjamin Cerfontaine is an Associate Professor in Geotechnical Engineering at the University of Southampton. His research focuses on geotechnical solutions for offshore renewable energy infrastructure, particularly floating and bottom-fixed offshore wind turbines. He specializes in numerical and physical modeling techniques such as finite elements, DEM, and centrifuge testing, aiming to uncover fundamental mechanisms governing foundation behavior. Education: PhD in Geotechnical Engineering from the University of Liège (2014), followed by postdoctoral research at the University of Dundee (2017–2020). Research Interests: Offshore renewable energy systems, constitutive modeling of geomaterials, and innovative anchoring solutions. Projects: Leads the ROBOCONE and TAILWIND projects, focusing on robotic ground characterization and sustainable anchor designs. Key achievements include the Geotechnical Research Medal (2023) and the Bright Spark Lecture Award (2023). He supervises three PhD students and actively collaborates with industry partners on offshore energy infrastructure. Dr. Cerfontaine is part of the Infrastructure Group and the Southampton Marine and Maritime Institute, contributing to interdisciplinary research on ocean energy and coastal communities.

• Computational Mechanics
• Granular Materials
• Machine Learning in Physics-Based Simulations
• +۷ مورد دیگر

H. Cheng is a researcher at the University of Twente, affiliated with the Faculty of Engineering Technology and the Department of Mechanics of Solids, Surfaces and Systems. He plays a central role in several interdisciplinary research projects focused on computational modeling of granular materials, geohazards, and machine learning integration in physics-based simulations. His research centers on advancing numerical methods such as the Discrete Element Method (DEM) and developing machine learning surrogates for efficient uncertainty quantification in complex systems. Key project areas include offshore infrastructure resilience under climate change (POSEIDON), dynamic fault slip in induced seismicity (FastSlip), upscaling particulate systems for industrial applications (TUSAIL), and automated segmentation of soil-root systems using micro-CT imaging (UNSAT). H. Cheng leads and supervises multiple early-career researchers across EU-funded initiatives, including MSCA Doctoral Networks and COST Actions. He is the main applicant and supervisor in the GrainLearning project, which integrates Bayesian inference with physics-based models to improve simulation accuracy and efficiency. His scientific contributions span collaborative research across academia and industry, with a strong emphasis on open science, reproducibility, and cross-sectoral training. He contributes to community-building through initiatives like ON-DEM, promoting best practices in particle-based simulations. Supervisor of multiple PhD students and postdoctoral researchers Daily supervisor in POSEIDON, FastSlip, TUSAIL, UNSAT Vice-lead of Working Group 1 in ON-DEM COST Action Main applicant and project lead for GrainLearning H. Cheng is actively involved in training the next generation of computational scientists and engineers, with a focus on interdisciplinary methodologies that bridge mechanics, data science, and industrial applications.

• Biomass Gasification
• Computational Fluid Dynamics
• Combustion Engineering
• +۵ مورد دیگر

Tian Li is an Adjunct Associate Professor at the Department of Energy and Process Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). Based at the Varmeteknisk building on the Gløshaugen campus, Dr. Li is affiliated with the ComKin Group and has been actively involved in numerous research projects focused on biomass conversion and combustion technologies since 2011. Dr. Li's research primarily focuses on: Biomass gasification and combustion technologies Computational Fluid Dynamics (CFD) modeling of energy conversion processes Multiphase flow and reaction kinetics in thermochemical processes Turbulence modeling in combustion systems Development of simulation tools for bioenergy applications Over the past decade, Dr. Li has led or contributed to multiple significant research projects funded by the Norwegian Research Council and industrial partners, including BioCarbUp, GASPRO, GrateCFD, GAFT, BioCarb+, CenBio, and GasBio. These projects have focused on optimizing biomass conversion processes for sustainable energy production. Dr. Li's publication record shows consistent contributions to high-impact journals in the energy and combustion fields, with a strong emphasis on computational modeling approaches. The research demonstrates expertise in developing and validating models for biomass conversion processes, with applications ranging from industrial-scale biomass furnaces to fundamental particle-level phenomena. Dr. Li has developed significant expertise in various computational tools and programming languages: Software: OpenFOAM, ANSYS Fluent, ANSYS ICEM CFD, Star-CD, MFiX, CHEMKIN, LOGEsoft, LabVIEW Programming: C/C++, Python, Fortran, Matlab Through participation in major research centers like CenBio (Bioenergy Innovation Centre), Dr. Li has contributed to advancing Norway's bioenergy research capabilities and fostering collaboration between academia and industry in the sustainable energy sector.

Saidul Islamمشاهده پروفایل

مدرس ارشد

• Computational fluid dynamics
• Discrete Element Method
• Machine learning
• +۷ مورد دیگر

Dr. Saidul Islam is a Senior Lecturer at the School of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS), Australia. He joined UTS as a Senior Lecturer on July 5, 2024, having previously served as a Lecturer (May 2022-July 2024), Scholarly Teaching Fellow (May 2019-May 2022), and Postdoctoral Research Fellow (January-December 2018) at the same institution. Dr. Islam completed his PhD in Mechanical Engineering from Queensland University of Technology (QUT), Brisbane, Australia. Dr. Islam's research spans multiple critical areas in engineering and environmental science. His primary expertise lies in computational fluid dynamics (CFD), Discrete Element Method (DEM), machine learning applications in fluid systems, thermofluids, thermal management, energy storage technologies, phase change materials, and biomedical modeling. His work addresses pressing global challenges including sustainable energy systems, air pollution impacts on respiratory health, and advanced thermal management solutions for electronics and industrial applications. His research has significant implications for clean energy technologies (SDG 7), industrial innovation (SDG 9), and climate action (SDG 13). Analysis of Dr. Islam's recent publications reveals a strong focus on energy storage systems, particularly metal hydride hydrogen storage and phase change materials for thermal management. His work integrates computational modeling with experimental validation, increasingly incorporating machine learning techniques to optimize thermal systems. There's a clear trajectory toward addressing environmental sustainability through low-GWP refrigerants and clean energy technologies, while simultaneously advancing biomedical applications through sophisticated modeling of particle transport in human airways. Best Early Career Researcher (ECR) Paper Award (2019) High-Achiever HDR Student Award QUT (2017) Best Paper Award (2015) Nomination for Outstanding PhD Thesis Award (2018) Nomination for Vice-Chancellor Teaching Award-QUT (2017) Dr. Islam actively supervises Masters and PhD students in research areas including multiphase flow, CFD-DEM, human lung modeling, energy storage, PCM, hydrogen energy, heat and mass transfer, bush fire and air quality, and thermofluids. His funded research projects include 'Decarbonising commercial and industrial process heating in Australia' (2024-2025), 'Caloric heat management space technology' (2023-2024), 'Enabling Resilient Space Computing with Advanced Thermal Management' (2023-2024), and 'Mechanical Ventilation of Stenosis Airway and Targeted Drug Delivery' (2019-2021). He serves as a guest editor for special issues on occupational respiratory health and heat wave impacts, and as an editor for International Journal of Fluid Engineering and PLoS ONE.

• Geotechnical Earthquake Engineering
• Discrete Element Method (DEM)
• Lattice Boltzmann Method (LBM)
• +۸ مورد دیگر

Nicholas Sitar is the Edward G. Cahill and John R. Cahill Professor of Civil Engineering at the University of California, Berkeley , affiliated with the Department of Civil and Environmental Engineering under the College of Engineering. His career spans decades of pioneering work in geotechnical earthquake engineering and computational geomechanics. Education : Ph.D. in Civil Engineering (Geotechnical) from Stanford University (1979), M.S. in Geology (Hydrogeology) from Stanford University (1975), B.A.Sc. in Geological Engineering from the University of Windsor, Canada (1973). Research Interests : Dr. Sitar’s research focuses on geotechnical earthquake engineering , seismic slope stability , and rock erosion , with a strong emphasis on computational methods like the Discrete Element Method (DEM) and Lattice Boltzmann Method (LBM). He pioneered the application of wireless sensor networks for seismic monitoring and developed advanced DEM-LBM coupling techniques to model rock-fluid interactions, including tsunami waves triggered by rock slope failures and scour in unlined rock channels. Publication Trends : His recent work highlights 3D numerical modeling of granular flows, rock slope kinematics, and depositional fabric analysis using X-ray tomography. He explores seismic earth pressures, levee stability under variable seepage, and dynamic rock-water interactions, often integrating stochastic methods and high-fidelity simulations. Contact : He can be reached at sitar@berkeley.edu in his office at 449 Davis Hall, with office hours on Wednesdays and Thursdays.

Jennifer Sinclair Curtisمشاهده پروفایل

استاد

• Particle Technology
• Granular Flow Dynamics
• Fluidization
• +۴ مورد دیگر

Jennifer Sinclair Curtis is the Dean of the UC Davis College of Engineering since 2015. Previously, she served as the Associate Dean for Research and Facilities at the University of Florida’s College of Engineering, Chair of Chemical Engineering, and Head of Freshman Engineering at Purdue University. She holds a B.S. in Chemical Engineering from Purdue University and M.S./Ph.D. from Princeton University. Her research focuses on particle flow behavior, with applications in food processing, pharmaceuticals, aerospace, energy, mining, and natural processes like debris flows. She employs computational methods (DEM, CFD) to study granular flows, fluid-particle interactions, and material dynamics. Her work bridges engineering education and industry, emphasizing diversity and inclusion initiatives. Key awards include Fellowships from AAAS, AIChE, and ASEE. Her articles span particle dynamics, fluidization, and educational strategies, reflecting her dual expertise in technical and pedagogical innovation. She has advised numerous students and contributed to national advisory boards, including co-chairing the National Academies Chemical Science Roundtable.

Jeffrey Marshallمشاهده پروفایل

استاد

• Fluid Dynamics
• Particulate Flows
• Renewable Energy Systems
• +۷ مورد دیگر

Jeffrey Marshall is a Professor in the Mechanical Engineering Department at the University of Vermont (UVM) and serves as the Associate Dean for Research and Graduate Education in the College of Engineering and Mathematical Sciences. He is also a Fellow of the American Society of Mechanical Engineers (ASME) , Gund Institute for Environment , and Vermont Academy of Science and Engineering (VASE) . Ph.D., University of California, Berkeley (1987) Research focuses on fluid mechanics, particulate flows, vortex dynamics, biofluids, and renewable energy systems , with applications to biofilm mitigation, solar panel particle transport, and turbulent flow modeling . He directs the Vortex and Particulate Flow Laboratory and has authored two books: Inviscid Incompressible Flow (Wiley, 2001) and Adhesive Particle Flow: A Discrete Element Approach (Cambridge, 2014). Recent research trends include stochastic vortex structures for turbulent particle transport, hybrid CFD-DEM methods for concrete flow simulation, and acoustic/ultrasound-enhanced particle diffusion in biofilms and hydrogels. His work spans biofluids, renewable energy systems, and computational fluid dynamics , with funded projects from NSF, NASA, and the Army’s Cold Regions Research and Engineering Laboratory (CRREL). Scientific Awards : Fellow, American Society of Mechanical Engineers Fellow, Gund Institute for Environment Fellow, Vermont Academy of Science and Engineering Director, UVM Smart Grid IGERT program (2012–2019) Interim Director, Vermont Space Grant (2019) Jeffrey Marshall has advised numerous PhD and MS students , including Zahra Khadem, Siavash Kasaeipour, and Ben Desroberts. His laboratory develops innovative models for particle transport in environmental and industrial systems, with patents on aeroacoustic dusters for particle removal.

• Construction Logistics
• Digital Twin Frameworks
• Building Information Modeling (BIM)
• +۴ مورد دیگر

Stephan Kessler is a researcher at the Technical University of Munich , affiliated with the Department of Mechanical Engineering and the Chair of Conveying Technology, Material Handling, and Logistics . His work focuses on construction logistics, digital twins, and IoT integration in building processes. Contact: stephan.kessler@tum.de Key research areas: Digital Twin, BIM, DEM simulations, IoT in construction Collaborates with Prof. Johannes Fottner on construction automation projects His research emphasizes digitalization of construction processes through technologies like RFID, machine learning, and simulation tools. Recent publications address tower crane planning, co-robot integration, and bulk material handling standards. Article trends show consistent focus on construction automation (IoT, digital twins, BIM), material flow optimization (DEM simulations, screw conveyor standards), and equipment lifecycle management (telematics, RFID identification). Kessler contributes to industry-university collaborations through projects like BauFlott (fleet management systems) and TEP (Tower Crane Deployment Planner). His work bridges theoretical research with practical implementations in construction site logistics.

Daniel Barretoمشاهده پروفایل

استاد

• Discrete Element Method (DEM)
• Soil Mechanics
• Geotechnical Engineering
• +۵ مورد دیگر

Daniel Barreto is a Professor at Edinburgh Napier University , specializing in Discrete Element Method (DEM) simulations and soil mechanics . His research emphasizes particle shape and size distribution effects on granular material behavior, with applications in permeability estimation, liquefaction mitigation, and nature-inspired ground engineering. Education : PhD in Soil Mechanics (Imperial College London, 2010), MSc in Soil Mechanics and Engineering Seismology (Imperial, 2005), Civil Engineering (Universidad de los Andes, 2003). Research : Focuses on DEM, grading entropy theory, and particle-scale interactions in sand-rubber mixtures, with implications for seismic isolation and sustainable soil stabilization. Awards : Royal Academy of Engineering Leverhulme Trust Fellowship COST Action Chair for Open Network on DEM Simulations (ON-DEM) Emeritus Member of Royal Society of Edinburgh Young Academy of Scotland Publications : Pioneering studies on DEM-based critical state behavior, particle breakage quantification, and permeability models for granular soils, with a 2023 Transportation Geotechnics paper on hydraulic radius applications. Collaborations : Leads ON-DEM, a global network advancing open-source DEM tools, and contributes to interdisciplinary projects involving synthetic root mimics and microbial soil interactions.

• Civil Engineering
• Geotechnical Engineering
• Materials Science
• +۴ مورد دیگر

Dr. Ilija Vego is a Research Fellow at The University of Sydney's School of Civil Engineering. He holds a PhD from Université Grenoble Alpes (2023), specializing in hygroscopic particle assembly through multi-modal imaging techniques. His research focuses on microstructural analysis of materials using X-ray tomography, neutron tomography, and MRI, with applications in geotechnics, mining, biology, and industrial sectors like food and pharmaceuticals. Education: Bachelor's/Master's in Civil Engineering (University of Padova, Italy) PhD in Hygroscopic Particle Assembly (Université Grenoble Alpes, France) Collaborative research at Georgia Institute of Technology (USA) and Université Grenoble Alpes Research Interests: Imaging techniques for material characterization Multi-phase systems mechanics Swelling and degradation of hygroscopic materials Bio-inspired engineering solutions His work bridges civil engineering and materials science, with tools like the open-source SPAM software for practical material analysis. Current projects explore granular media behavior under humidity and root-inspired anchorage mechanics.