جست‌وجوی استاد و پژوهشگر

Haiyang Zhaoمشاهده پروفایل

پژوهشگر

• Waste Management
• Modelling and Simulation
• Composite Materials
• +۳ مورد دیگر

Haiyang Zhao is a Researcher at RMIT University's School of Engineering, specializing in multi-scale modelling for expansive soils and advanced materials analysis. His work focuses on waste management, computational modelling, and composite materials, with applications in civil engineering and environmental sustainability. He holds a PhD and is actively engaged in research projects involving discrete element method (DEM) simulations for soil, concrete, and granular materials. Key research interests include: Fracture mechanics of concrete and rock-like materials Recycled aggregate concrete performance DEM-based modelling of granular systems Biomineralization processes in geotechnical engineering He is open to supervising Masters and PhD students in topics such as multi-scale material modelling and sustainable construction materials. His research has been published in high-impact journals, with a focus on advancing numerical methods and experimental validation techniques.

• Risk Analysis
• Structural Reliability
• Civil Engineering
• +۵ مورد دیگر

Prof. Michael Beer is the Executive Director of the Institute for Risk and Reliability at Leibniz University Hannover. He holds a professorship in the Faculty of Civil Engineering and Geodetic Science and serves on the Faculty Council. His research focuses on structural reliability, uncertainty quantification, and risk analysis with applications in civil engineering systems. He leads the Collaborative Research Centres (CRC) 871 and 1463, addressing regeneration of complex capital goods and offshore megastructure design, respectively. His work integrates machine learning, Bayesian methods, and stochastic modeling to address challenges in seismic vulnerability, geotechnical systems, and reliability-based design optimization. Beer is also a member of the Leibniz Research Centre Energy 2050, emphasizing interdisciplinary energy systems research. Beer's research interests span probabilistic modeling of dynamic systems, uncertainty propagation in engineering systems, and data-driven methods for reliability assessment. His recent publications emphasize computational methods for reliability, machine learning applications, and seismic risk analysis. He actively contributes to academic leadership roles, including editorial boards and research center management.

Niels Deenمشاهده پروفایل

استاد

• Multiphase Reactors
• Computational Fluid Dynamics (CFD)
• Experimental Fluid Dynamics
• +۵ مورد دیگر

Niels Deen is a Full Professor and Chair of the Power & Flow group in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). He also serves as Vice-Dean of the Department since 2024. His research focuses on multiphase reactors, computational fluid dynamics (CFD), and experimental fluid dynamics, with applications in sustainable processes like green steel production and hydrogen generation. **Education & Career**: Deen obtained his PhD from Aalborg University. He held roles as Assistant Professor at the University of Twente (2001–2010) and Associate Professor at TU/e (2010–2015). In 2010, he received an ERC Starting Grant for work on micro-structured bubble column reactors. He is a Principal Investigator at EIRES (Eindhoven Institute for Renewable Energy Systems) and part of the management team of the J.M. Burgerscentrum (JMBC). **Research & Awards**: His work bridges experimental and numerical techniques for multiphase systems. Notable contributions include studies on fluidized beds, bubble column dynamics, and multi-scale modeling. He has collaborated extensively with Dutch chemical industries and served as an editor for *Chemical Engineering Science* (2014–2022). **Awards**: Recipient of the European Research Council (ERC) Starting Grant (2010). **Roles & Activities**: Board member of Stichting Hoogewerff-Fonds and member of TU/e’s management teams for JMBC and EIRES. He teaches courses on CFD and transport phenomena.

Asadul Haqueمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• X-Ray Micro-Computed Tomography
• Carbon Sequestration
• +۵ مورد دیگر

Associate Professor Asadul Haque is a tenured full-time academic in the Department of Civil and Environmental Engineering at Monash University, Australia. He holds a Ph.D. from the University of Wollongong and has extensive expertise in geotechnical engineering, specializing in non-destructive material characterization using X-ray CT, microstructural behavior of soils, carbon sequestration, and railway geotechnics. He has secured over $5M in research grants, including ARC Discovery and Linkage projects, and leads world-class facilities like the X-Ray Microscopy Facility for Imaging Geo-materials (XMFIG). Education: Bachelor of Science in Civil Engineering, Bangladesh Institute of Technology (1987) Master of Engineering, Asian Institute of Technology (1992) Ph.D. in Civil Engineering, University of Wollongong (1999) Graduate Certificate in Higher Education, Monash University (2005) Research Interests: Dr. Haque’s work focuses on advancing sustainable geotechnical practices, including: Carbon sequestration in deep saline aquifers Microstructural evolution of soils under in-situ loading Rock-socketed pile design and bearing mechanisms Geothermal energy systems and reservoir performance Use of industrial by-products for soil improvement Grants & Contributions: He has secured major grants including $3.8M in ARC LIEF grants for laboratory infrastructure and $5M in competitive and industry-funded projects. His research has led to innovations in ground improvement using lime-slag and biochar sequestration, and he has published extensively in top journals like Geotechnique and Rock Mechanics and Rock Engineering . Professional Roles: Past Director of Teaching (Civil Engineering, 2014-2015) and Program Leader for the Master of Infrastructure Engineering & Management (2003-2017). Current Associate Editor of the Australian Journal of Civil Engineering and Fellow of the Institution of Engineers, Australia. Labs & Facilities: Leads the XMFIG facility and contributes to advanced testing chambers for deep geological applications, enabling high-resolution imaging and macro-scale geomechanical studies.

Pourya Forooghiمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Heat Transfer
• Power-to-X
• +۳ مورد دیگر

Pourya Forooghi serves as Associate Professor in the Department of Mechanical and Production Engineering at Aarhus University's School of Engineering, Denmark. His active research profile is anchored in the university's heat and fluid flow group, with direct contact available via telephone (+45 93 52 23 03) and email (forooghi@mpe.au.dk). Current activities include conference contributions such as the 2024 ERCOFTAC Symposium lecture on electrolyzer modeling. Research Interests His work spans fundamental and applied fluid dynamics with emphasis on: Turbulent flow over complex rough surfaces (anisotropic, patchy, irregular) Thermohydraulic roughness characterization Data-driven modeling for drag and heat transfer prediction Power-to-X (PtX) energy systems Secondary flows in boundary layers Cryogenic heat transfer (frost formation, evaporators) Publication Trends Analysis of his 2023-2025 publications reveals a dominant focus on roughness effects in turbulent flows using DNS and data-driven methods. Key patterns include hydrodynamic/thermal property characterization of realistic rough surfaces, drag reduction via spanwise forcing, and laminarization techniques in pipe flows. Applications concentrate on energy systems like CO2 heat pumps, PtX electrolyzers, and refrigeration evaporators. Scientific Awards No scientific awards, fellowships, or medals were documented in the provided materials. Advising and Grants The source text contains no explicit information regarding graduate students, postdoctoral advisees, or grant funding activities. His research group involvement suggests likely supervision responsibilities absent specific listings. Laboratories and Teams Forooghi leads computational research within Aarhus University's heat and fluid flow group, utilizing DNS/LES techniques and data-driven frameworks. His work integrates high-fidelity simulations with engineering applications, particularly in energy conversion systems requiring advanced roughness modeling.

Seung Jae Leeمشاهده پروفایل

دانشیار

• Civil Engineering
• Geotechnical Engineering
• Computational Modeling
• +۶ مورد دیگر

Seung Jae Lee is an Associate Professor and Undergraduate Program Director in the Department of Civil and Environmental Engineering at Florida International University (FIU). He holds a Ph.D. in Civil Engineering from the University of Illinois at Urbana-Champaign (2014). His research focuses on advanced computational modeling of granular materials, structural dynamics, and disaster-resilient infrastructure. Key areas include particle geometry characterization, soil-water interaction analysis, and wind engineering for building systems. He leads efforts in integrating 3D imaging and simulation techniques to enhance material understanding and infrastructure performance. Education: Ph.D., Civil Engineering, University of Illinois at Urbana-Champaign, 2014 Research interests span particle morphology analysis, computational mechanics, and sustainable construction materials. His work emphasizes practical applications such as improving cement-based materials through aggregate morphology optimization and enhancing building envelope systems against extreme winds. Lee's methodologies often combine experimental testing with advanced numerical simulations, such as discrete element modeling (DEM) and finite element analysis (FEA). His articles highlight trends in 3D particle characterization, wind-induced structural behavior, and biotechnology-driven soil improvement. These studies aim to bridge microscopic material properties with macroscopic engineering performance, contributing to safer and more durable infrastructure systems. Notable projects include full-scale testing of curtain wall systems and development of predictive models for material degradation under cyclic loading. His lab focuses on disaster preparedness through computational frameworks integrating imaging and simulation for construction projects.

Sheng Daiمشاهده پروفایل

استاد مدعو

• Geomechanics
• Gas Hydrate Systems
• Granular Materials Engineering
• +۳ مورد دیگر

Dr. Sheng Dai holds a courtesy appointment as an Adjunct Professor in the School of Earth & Atmospheric Sciences at Georgia Institute of Technology, part of the College of Sciences. His research focuses on geomechanics, gas hydrate systems, and bio-inspired engineering solutions. He collaborates across disciplines to address challenges in environmental fluid mechanics, granular materials, and energy systems. His work integrates computational modeling, experimental analysis, and machine learning. Key research areas include the mechanical and hydraulic properties of hydrate-bearing sediments, granular flow dynamics of biomass and municipal waste, and the application of bacterial proteins to stabilize clathrate structures. He has contributed to advanced modeling frameworks for subsurface energy systems and bio-inspired solutions for rock drilling. Dr. Dai's recent studies analyze the influence of particle size distribution, temperature effects on shale properties, and pore-scale observations of sediment behavior. His work frequently intersects with engineering applications such as hopper design optimization, energy screw piles, and geothermal energy recovery systems. He has co-authored over 50 peer-reviewed articles, with notable contributions in Geomechanics for Energy and the Environment and Environmental Science & Technology . His research has been supported by international collaborations and industry partnerships.

• Humanitarian Engineering
• Engineering Education
• Environmental Engineering
• +۳ مورد دیگر

Dr. Nick Brown is a Senior Lecturer at RMIT University's School of Engineering, specializing in Humanitarian Engineering and Engineering Education. He co-leads the Humanitarian Engineering Lab, focusing on sustainable development through innovative teaching and research. His roles include Academic Lead for Learning and Teaching Innovation (2024–present), and he has held positions since 2018. Dr. Brown's academic journey includes a PhD from the University of Edinburgh (UK), with prior experience as Research Lead at Engineers Without Borders Australia. Research Interests: Humanitarian Engineering, Engineering Education, Environmental Engineering, Water, Sanitation, and Hygiene (WASH), Sustainable Development, and Disaster/Development Contexts. He integrates experiential learning into curricula, emphasizing global challenges and community-focused solutions. Awards: Australia Award for University Teaching, multiple Engineers Australia and RMIT awards, and Fellowship from the Higher Education Academy (UK). Key Projects: Climate Justice in Bangladesh, Uncrewed Aerial Systems in Humanitarian Action, Social Enterprise in Post-Disaster Reconstruction, and WASH in Timor-Leste. His work aligns with UN SDGs like No Poverty, Quality Education, Clean Water, and Climate Action. Teaching Contributions: Developed the Humanitarian Innovation minor, coordinated large engineering courses (e.g., 1,200+ students), and led curriculum reforms emphasizing WIL (Work-Integrated Learning) and industry collaboration.

David P Connollyمشاهده پروفایل

استاد

• Transportation
• Climate Resilience
• Artificial Intelligence
• +۹ مورد دیگر

Professor David P Connolly is a leading academic in Civil Engineering at the University of Leeds, serving as the Programme Leader for the 'Railway Engineering with Project Management' MSc. He holds a PhD and first-class honours in Civil Engineering from the University of Edinburgh, and is a chartered professional engineer with prestigious fellowships from the Institution of Civil Engineers (CEng FICE), Permanent Way Institution (FPWI), and Higher Education Academy (FHEA). His research focuses on transportation systems , climate resilience , artificial intelligence , computer vision , and geotechnical engineering . Notable projects include Hyperloop aerodynamics modeling, railway track dynamics under extreme conditions, and sustainable infrastructure design. He has secured significant industry and governmental grants, supervising numerous PhD and postdoctoral researchers. Key contributions include the development of InSAR and satellite monitoring for infrastructure health, energy harvesting systems for railways, and climate change mitigation strategies for built environments. His work bridges theoretical modeling (e.g., FEM/DEM simulations) with practical applications like geotextile analysis and railway transition zone optimization. Professor Connolly actively mentors international scholars, advising on CSC/ Commonwealth Scholarship applications and co-authoring Marie Skłodowska-Curie fellowship proposals. His research themes emphasize net zero and sustainability , with innovations in recycled materials for construction and smart sensing technologies.

Jason T. DeJongمشاهده پروفایل

استاد

• Geotechnical Engineering
• Bio-mediated and Bio-inspired Geotechnics
• Earthquake Engineering
• +۶ مورد دیگر

Jason T. DeJong is a Professor of Civil & Environmental Engineering at the University of California, Davis, and Director of the Center for Geotechnical Modeling. He earned a B.S.C.E. from UC Davis and an M.S.C.E. and Ph.D. from Georgia Tech. His research focuses on soil characterization, bio-mediated geotechnics, earthquake engineering, and sustainability, with over $40M in grants and 250+ publications. He chairs ISSMGE TC102 (In situ Testing) and advises civil infrastructure projects globally. Education: B.S.C.E., University of California, Davis M.S.C.E., Georgia Institute of Technology Ph.D., Georgia Institute of Technology Research Interests: Soil liquefaction mitigation via MICP (microbially induced calcite precipitation) Bio-inspired engineering for anchorage systems Geotechnical sustainability and life cycle assessment (LCA) Dynamic behavior of coarse-grained soils Advanced field testing techniques (e.g., CPT, vane shear) Recent Research Trends: His 2023–2025 work emphasizes bio-cementation applications, hypergravity testing for permafrost thawing, and optimizing MICP treatment for soil improvement. Articles highlight interdisciplinary methods combining DEM modeling, centrifuge testing, and LCA frameworks to address geotechnical challenges. Awards: ASTM International Hogentogler Award (2018, 2021) ASCE Huber Research Prize (2019) ICE TK Hsieh Prize (2020) ASCE Fellow (2022) Grants & Advising: Dr. DeJong oversees ~$40M in funded projects and actively mentors students in geotechnical earthquake engineering, dam safety, and sustainable infrastructure. He leads the NSF ERC for Bio-mediated and Bio-inspired Geotechnics, fostering collaboration between academia and industry. Labs & Teams: Directs the UC Davis Center for Geotechnical Modeling and co-leads the NHERI centrifuge facility. Collaborates with global partners on bio-geo projects and advanced testing methodologies.

Guilherme Barrosمشاهده پروفایل

پژوهشگر ارشد

• Modelling and simulation
• Geomechanics and resources geotechnical engineering
• Deep learning
• +۲ مورد دیگر

Dr. Guilherme Barros serves as a Research Fellow at the University of Newcastle within the School of Engineering and Centre for Geotechnical Science and Engineering, specializing in computational geomechanics and machine learning applications for rockfall hazard prediction. His academic credentials include: B.Sc. in Civil Engineering from Fluminense Federal University (UFF) M.Sc. in Civil Engineering from Pontifical Catholic University of Rio de Janeiro (PUC-Rio) Ph.D. in Civil Engineering from the University of Newcastle Barros' research centers on Modelling and simulation (30% focus), Geomechanics and resources geotechnical engineering (30%), and Deep learning (20%), with additional expertise in Granular mechanics and Solid mechanics. His work pioneers hybrid approaches combining physics-based numerical methods (BEM, DEM, FEM) with machine learning to address rockfall hazards in mining, seismic wave propagation in unbounded domains, and computational limit analysis. This interdisciplinary framework significantly enhances predictive accuracy for geotechnical risk assessment in complex terrain. His publication record reveals a clear trajectory toward advanced multi-scale numerical coupling, particularly BEM-DEM integration for dynamic geomechanical problems across 1D to 3D domains. These works address critical challenges in infinite domain modeling, wave propagation discontinuities, and rockfall fragmentation prediction, demonstrating strong applicability to mining safety and civil infrastructure resilience. His scientific recognition includes: AGS NSW Research Award (Australian Geomechanics Society, 2025) Barros has co-supervised two Master's students on rockfall analysis projects: one at the University of Parma investigating material layer impacts on hazard prediction, and another at Newcastle comparing machine learning techniques (Random Forest, KNN) for trajectory modeling. His international research network spans Brazil (6 publications), Australia (5), and Poland (5), supported by funding from the Australian Geomechanics Society. As an active contributor to the Centre for Geotechnical Science and Engineering, he develops computational frameworks for real-world mining safety challenges, with current projects focusing on machine learning-enhanced rockfall prediction systems for NSW and QLD open-pit mines.

Sergio Galindo Torresمشاهده پروفایل

دانشیار مدعو

• Geotechnical Engineering
• Fluid Dynamics
• Computational Modeling
• +۵ مورد دیگر

Dr. Sergio Galindo Torres is an Adjunct Associate Professor at the School of Civil Engineering, University of Queensland (UQ). His research focuses on geotechnical engineering, fluid dynamics, and computational modeling of granular and porous media. He specializes in discrete element methods (DEM), lattice Boltzmann methods (LBM), and their coupling for simulating particle-fluid interactions. His work addresses transient two-phase flow, hydraulic fracturing, dispersion in porous media, and erosion mechanisms. His publications (45 journal articles, 31 conference papers, and technical reports) highlight his expertise in micromechanical analysis and numerical simulation of complex geological systems. Recent studies examine Péclet-number-dependent dispersion and airblast hazards in block caving. The 15 most recent articles reflect trends across computational geomechanics, with emphasis on: Fluid flow in static/dynamic porous media DEM-LBM coupling for granular-fluid systems Two-phase displacement under varying boundary conditions Airblast hazard simulation in mining Liquefaction micromechanics Capillary pressure-saturation dynamics Dr. Galindo Torres collaborates with researchers like Alexander Scheuermann and Ling Li, and his work appears in journals such as Water Resources Research , Physical Review , and Computers and Geotechnics . He does not list specific awards or advisees in this dataset.

Ingo Kampenمشاهده پروفایل

پژوهشگر

• Particle Technology
• Biotechnology
• Pharmaceutical Engineering
• +۳ مورد دیگر

Dr. Ingo Kampen is a researcher and lecturer at the Institute for Particle Technology within the Faculty of Mechanical Engineering at Technische Universität Braunschweig. He serves as Head of Division for "Pharma and Bio Particle Technology" and has been leading the Research Group "Mechanical Biotechnology" since 2006. His academic background includes a doctoral degree (Dr.-Ing.) in 2005 with research on "Einfluss der Zellaufschlussmethode auf die Expanded Bed Chromatographie" (Influence of Cell Disruption Method on Expanded Bed Chromatography). He completed his studies in Biotechnology at TU Braunschweig between 1995 and 2001, following professional education as a chemical-technical assistant from 1992 to 1994. Dr. Kampen's research interests span across particle technology with applications in biotechnology and pharmaceutical engineering. His work focuses on: Mechanical properties of biological particles and cells Particle analysis in micro and nanometer ranges Process engineering for biotechnological applications Pharmaceutical particle technology Cell disruption methods and their effects Biomechanical characterization of microorganisms His publication record demonstrates significant contributions to understanding enzyme crystal mechanics, particle separation techniques, and the impact of mechanical processing on microbial systems. His research shows a strong interdisciplinary approach combining mechanical engineering principles with biotechnology and pharmaceutical sciences, with practical applications in drug formulation, probiotic production, and biocatalyst development. Dr. Kampen teaches several courses including "Grundlagen der Umweltschutztechnik" (Fundamentals of Environmental Protection Technology), "Mechanische Verfahrenstechnik" for biotechnologists, and specialized courses on microscopy and particle analysis in the micron and nanometer range.

Yeswanth Sai Tanneruمشاهده پروفایل

پژوهشگر

• Mechanical Engineering
• Particle Technology
• Discrete Element Method (DEM)
• +۳ مورد دیگر

Yeswanth Sai Tanneru is a Researcher at the Institute for Particle Technology within the Faculty of Mechanical Engineering at Technische Universität Braunschweig . Since 2021, he has been affiliated with TU Braunschweig's research ecosystem, which emphasizes interdisciplinary collaboration through centers like the Coastal Research Center (CRC). Education: Master in Applied Mechanics (2018–2020), Chalmers University of Technology, Sweden Bachelor in Mechanical Engineering (2013–2017), K L University, India Research Focus: Specializes in particle dynamics using Discrete Element Method (DEM), with connections to coastal engineering through large-scale wave flume experiments and sediment transport studies at TU Braunschweig's CRC. Contact: Based at Volkmaroder Str. 5, Nebengebäude N 013; email: y.tanneru@tu-braunschweig.de

Bo Zhangمشاهده پروفایل

پژوهشگر ارشد

• Petroleum Engineering
• Geomechanics
• Hydraulic Fracturing
• +۵ مورد دیگر

Dr. Bo Zhang serves as a Postdoctoral Research Fellow at the School of Mechanical & Mining Engineering, The University of Queensland, within the Faculty of Engineering, Architecture and Information Technology. His research focuses on computational modeling of hydraulic fracturing processes and proppant transport mechanics in unconventional energy reservoirs. His educational background includes: Masters (Research) in Mining Engineering from Chongqing University Doctor of Philosophy in Civil Geotechnical Engineering from Monash University Dr. Zhang's research spans petroleum engineering, geomechanics, and computational fluid dynamics with emphasis on hydraulic fracturing optimization. His work investigates proppant transport dynamics in shale and coalbed methane reservoirs using hybrid CFD-DEM modeling, stress-permeability relationships in fractured media, and fracture propagation mechanics. Key methodologies include stochastic fracture network modeling and supercritical CO 2 applications for enhanced recovery. Analysis of his 2019-2025 publications reveals a consistent research trajectory focused on improving hydrocarbon extraction efficiency through advanced fracture characterization. His work demonstrates increasing sophistication in multi-scale modeling, with recent studies addressing cross-scale proppant transport and secondary fracture dynamics. The research shows strong alignment with energy transition themes through CO 2 -based recovery techniques. No scientific awards were documented in the source materials. Dr. Zhang is explicitly available for research supervision, indicating active mentorship responsibilities. While specific grant details aren't provided, his publications suggest affiliation with UQ's Multiscale Energy Systems research theme. The absence of grant documentation prevents comprehensive assessment of funding sources. His work is contextually associated with UQ's Multiscale Energy Systems research group through thematic alignment with fracture network modeling and reservoir simulation, though explicit laboratory affiliations aren't specified in the source materials.