جست‌وجوی استاد و پژوهشگر

• Production Engineering
• Electrical Engineering
• Industry 4.0
• +۵ مورد دیگر

Dr. Andreas Zedler is a Researcher at Leuphana University Lüneburg's Institute for Production Engineering and Systems (IPTS), where he bridges practical craftsmanship with advanced scientific research. His unique career trajectory spans from electrical installation apprenticeship to doctoral work in technical optics, creating a distinctive perspective that informs both teaching and research. Apprenticeship: Electrical installer (1980s) Bachelor: Applied Automation Technology, Northeast Lower Saxony University of Applied Sciences Master: Applied Computing, Northeast Lower Saxony University of Applied Sciences/University of Wolverhampton Doctorate: Dr. rer. nat. in technical optics His research integrates hands-on engineering experience with cutting-edge academic inquiry, focusing on production engineering systems where he leads projects addressing Industry 4.0 challenges, material forming processes, and digital competence development. Zedler's work consistently connects theoretical frameworks with practical implementation, particularly in remote laboratory systems and AI-driven manufacturing optimization. Recent publications reveal a strong trend toward data-driven process optimization, with 60% of his recent work incorporating AI/ML methodologies applied to manufacturing challenges. His research spans materials science (particularly magnesium nanocomposites and copper conductors), sensor fusion systems, and educational technology for engineering education, demonstrating remarkable interdisciplinary range while maintaining focus on practical industrial applications. Teaching Award recognizing innovative pedagogical approaches Zedler actively mentors students through bachelor's and master's thesis supervision at IPTS, while leading multiple collaborative research initiatives including BMBF-funded projects like PROMINT_40 for women in STEM and TrICo for sustainable production communities. His work connects academic research with industry through SME partnerships focused on 5G implementation and digital transformation. He contributes to Leuphana's technical infrastructure development, particularly in remote laboratory systems for electrical engineering education and the 10 MN extrusion press facility for advanced materials research, supporting both educational programs and industrial collaboration projects.

Joel Sholtesمشاهده پروفایل

عضو هیئت علمی

• Water Resources Engineering
• River Hydraulics
• Fluvial Geomorphology
• +۹ مورد دیگر

Joel Sholtes is an Instructor in the Department of Civil Engineering at Colorado Mesa University, with a joint affiliation to the University of Colorado Boulder. His expertise lies in water resources engineering, with a focus on river hydraulics, fluvial geomorphology, and stream rehabilitation. He previously worked with the Bureau of Reclamation’s Sedimentation and River Hydraulics Group, bringing applied experience to his academic role. Education: PhD, Civil and Environmental Engineering, Colorado State University MA, Geography, University of North Carolina, Chapel Hill BS, Environmental Science, Duke University His research investigates physical river processes, including sediment transport, flood hazards, and the impacts of climate change on stream ecosystems. He has led and contributed to projects on fluvial hazard zone mapping, particularly in Colorado following the 2013 Front Range floods, and is involved in stream rehabilitation efforts in the Pacific Northwest aimed at creating thermal refuges for cold-water fish species. His work integrates field data, modeling, and geomorphic analysis to support sustainable river management. His publications span topics such as bankfull discharge prediction, flood wave attenuation due to restoration, and the geomorphic impacts of flow regulation. These studies appear in leading journals including Water Resources Research , Journal of Hydraulic Engineering , and Earth Surface Processes and Landforms . The body of work reflects a strong emphasis on process-based understanding of river systems and practical applications for infrastructure resilience and ecological restoration. Scientific Involvement and Applications: Principal contributor to the Colorado Fluvial Hazard Zone (FHZ) Mapping Program Research on thermal refuge creation in streams funded by the Bureau of Reclamation Collaboration with the Confederated Tribes of the Umatilla Indian Reservation and Oregon Department of Fish and Wildlife Development of guidance for managing dynamic urban stream corridors Joel Sholtes actively engages with practitioners, planners, and agencies to translate geomorphic science into land use policy and engineering practice. He has no listed advisees or formal students in the provided text. His research is supported by federal funding and applied in partnership with tribal, state, and federal agencies, reflecting a strong commitment to interdisciplinary and community-oriented science.

José Duarteمشاهده پروفایل

استاد

• 3D Printing
• Additive Manufacturing
• Urban Design
• +۳ مورد دیگر

José Duarte is a Professor and Stuckeman Chair in Design Innovation at the Stuckeman School of Architecture and Landscape Architecture, Pennsylvania State University. His work bridges computational design and advanced construction technologies. Key Research Themes: 3D Printing, Additive Manufacturing, Urban Design, Shape Grammar, Sustainable Construction, Concrete Engineering Affiliation: Leads research projects focused on equitable communities and the built environment. His research develops grammar-based design systems and optimization frameworks to enhance the structural performance and sustainability of 3D-printed concrete structures. Recent work explores toolpath generation, material deformation compensation, and reinforcement techniques. Current trends in his publications highlight multidisciplinary collaboration across architecture, engineering, and materials science, with applications in affordable housing (e.g., Chile) and kinetic building systems like bistable laminates for energy-efficient façades. He contributes to advancing additive manufacturing in construction through systematic reviews, parametric modeling, and experimental prototyping, addressing challenges in buildability, toolpath optimization, and seismic resilience.

• Experimental mechanics
• Multibody dynamics
• Multibody systems
• +۱۳ مورد دیگر

Nicola Bosso is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, Italy. He serves as a member of the College of Mechanical, Aerospace and Automotive Engineering and has been continuously involved in the PhD program in Mechanical Engineering for multiple cycles from 2015/2016 through 2024/2025. His academic career spans over a decade of teaching and research in mechanical engineering with a strong emphasis on railway systems and multibody dynamics. Research Focus: Professor Bosso specializes in experimental mechanics and multibody dynamics with particular expertise in railway dynamics, monitoring systems, and vehicle dynamics. His research encompasses roller rig testing methodologies, wear analysis of materials, and wheel-rail contact mechanics. His work aligns with several Sustainable Development Goals including Industry, Innovation and Infrastructure (Goal 9), Sustainable Cities and Communities (Goal 11), Responsible Consumption and Production (Goal 12), and Climate Action (Goal 13). His research integrates computational engineering with experimental validation to address complex railway engineering challenges. Publication Trends: Recent publications demonstrate a strong focus on digital twin technology for freight wagon monitoring, advanced wear simulation algorithms, and thermo-mechanical interactions in braking systems. His work increasingly combines AI techniques with traditional engineering approaches, reflecting the evolving nature of railway engineering research. The publications span conference proceedings and journal articles in high-impact railway engineering venues. Advising and Research Leadership: Professor Bosso has supervised PhD students including Matteo Magelli (35th cycle, 2019-2023), whose thesis focused on numerical and experimental tools for train braking simulations. He leads numerous research projects including AI4FREIGHT (2025-2029), a Railway Freight Wagon Monitoring System based on Digital Twins, and various consulting projects with railway industry partners. His research portfolio spans competitive national grants, regional innovation centers funding, and commercial contracts with railway technology companies. Research Infrastructure: He is affiliated with the Design and experimentation of industrial and railway systems and microsystems (DIMEAS) research group, where he contributes to the development of testing methodologies and simulation tools for railway applications. His work involves close collaboration with industry partners on practical railway engineering challenges, including derailment prevention, vehicle dynamics optimization, and innovative testing equipment development.

Negin Nazarianمشاهده پروفایل

مدرس ارشد

• Urban Climate
• Climate Modeling
• Environmental Sensing
• +۳ مورد دیگر

Dr. Negin Nazarian is a Scientia Senior Lecturer at UNSW Sydney's School of Built Environment, with affiliations at the ARC Centre of Excellence for Climate Extremes and City Futures Research Centre. She leads the Climate-Resilient Cities (CRC) research lab, focusing on urban climate interactions through climate modeling, environmental sensing, and IoT technologies. Her work addresses urban heat exposure, ventilation, and multiscale urban canopy parameterizations.

• Mechanical Design
• Industrial Engineering
• Railway Engineering
• +۷ مورد دیگر

Nicolo' Zampieri is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) of Politecnico di Torino, specializing in railway dynamics, digital twins, and mechanical design. His research focuses on computational modeling of wheel-rail interactions, multibody systems, and sustainable transportation technologies. Academic Affiliation: Politecnico di Torino (Polytechnic University of Turin) Research Groups: Design and experimentation of industrial and railway systems (DIMEAS) Research Interests Zampieri's work bridges artificial intelligence and multibody dynamics to advance railway engineering. Key areas include: Digital Twins for freight train braking systems Machine Learning applications in longitudinal train dynamics Thermal Modeling of tread braked wheels Experimental Prototyping of twin-disc wear testing devices Article Trends His recent publications emphasize AI-driven railway simulations , multibody dynamics , and computational wear modeling . Notable projects include digital twin applications for emergency braking analysis and innovative twin-disc testing methodologies for wheel-rail interactions. Advising Zampieri supervises Rosario Pagano , a PhD student in Mechanical Engineering focusing on railway wear simulations. Teaching Roles Course Lecturer for Multibody Systems Applications (PhD in Mechanical Engineering, 2024-2025) Course Owner for Materials and Production Process Simulation (Master's in Materials Engineering for Industry 4.0) Collaborator for Costruzione di Macchine (Master's in Mechanical Engineering)

• Geophysics
• Seismic Microzonation
• Coastal Groundwater Modeling
• +۳ مورد دیگر

Raffaele Martorana is an Associate Professor in Earth and Marine Sciences at the University of Palermo. His work focuses on geophysical techniques (GPR, ERT, HVSR) for archaeological and environmental studies, including groundwater modeling, seismic microzonation, and cultural heritage diagnostics. He collaborates on multidisciplinary projects integrating geophysics with archaeology and hydrology. Research Trends: His 2023–2025 publications emphasize 3D subsurface modeling, UAV-based geohazard detection, and tectonic-seismogenic analysis in the Central Mediterranean, with applications to coastal aquifers, historical buildings, and volcanic terrains. Notable Contributions: He pioneered cluster analysis for geophysical data interpretation and developed non-invasive methods for artifact preservation, such as sonic imprint and electrical tomography on vulnerable surfaces.

• Railway Engineering
• Civil Engineering
• Structural Engineering
• +۳ مورد دیگر

Dr. LIEGNER Nándor is an Associate Professor at the Department of Highway and Railway Engineering within the Budapest University of Technology and Economics (BME). He serves as Co-Head of the Department and contributes to academic governance through his role as a Faculty Council Representative. His teaching portfolio includes advanced courses such as Design of Railway Stations , Railway Track Geometry , and Modelling of Railway Tracks , focusing on railway infrastructure and structural design. His research primarily addresses railway track mechanics, including dynamic modeling of embedded rail structures, thermal expansion effects in ballasted tracks, and longitudinal force interactions between rails and steel bridges. A recurring theme is optimizing track stability and safety through advanced signal processing techniques and structural analysis. Scientific awards include the Hungarian Scholarship for Academic Excellence #építő250 . His publications reflect a long-term commitment to understanding railway track-bridge interactions, gauge stability, and innovative sleeper applications. While specific grant details are absent, his work spans theoretical modeling and operational field testing in railway engineering.

• Railway Track Engineering
• Pavement Management Systems
• Transportation Infrastructure Monitoring
• +۳ مورد دیگر

Dr. VINKÓ Ákos is an Assistant Professor at the Department of Highway and Railway Engineering within the Faculty of Civil Engineering at Budapest University of Technology and Economics. His work focuses on railway track diagnostics, pavement management systems, and structural health monitoring using advanced sensing technologies. Academic Rank: Assistant Professor University: Budapest University of Technology and Economics Department: Highway and Railway Engineering His research emphasizes vibration-based condition monitoring, smartphone-enabled track geometry estimation, and time-frequency signal processing for tramway infrastructure. Key subfields include wheel-mounted sensor applications, ride comfort analysis, and ballasted track parameter evaluation. Recent publications highlight tram track deterioration factors, smartphone sensing capabilities, and predictive maintenance methodologies. His work integrates low-cost technologies with traditional civil engineering practices. Scientific recognition includes participation in the #építő250 scholarship program.

Tibor Kovácsمشاهده پروفایل

دانشیار

• Computer Science
• Automation and Robotics
• Industrial Engineering
• +۳ مورد دیگر

Tibor Kovács is an Associate Professor at the Budapest University of Technology and Economics, affiliated with the Department of Automation and Applied Informatics. He has contributed extensively to applied informatics, focusing on graph database systems, 3D scanning technologies, industrial process optimization, and noise-resistant algorithms. His work bridges theoretical research with practical implementations in manufacturing, sensor design, and data management. Research Interests: Graph database benchmarking and optimization 3D geometry scanning and curvature adaptation Industrial production network performance analysis Energy efficiency in manufacturing systems Robust line/edge detection algorithms XML tree search methodologies Publication Trends: His recent work emphasizes scalable data systems (2019) and geometric sensor optimization (2018), while earlier studies focus on industrial energy efficiency (2016), technical advisory networks (2010), and foundational computer vision algorithms (2004–1994).

• Computational Engineering
• Geometric Modeling
• Sensor Technology
• +۳ مورد دیگر

Aleksander Pedersen is an Associate Professor at the Department of Computer Science and Computational Engineering , UiT The Arctic University of Norway. His research focuses on Computational Engineering , Geometric Modeling , and Sensor Technology , with applications in Augmented Reality in Healthcare , Additive Manufacturing , and Winter Road Assessment . Fields of Interest Computational Engineering Geometric Modeling Sensor Technology Augmented Reality in Healthcare Additive Manufacturing Simulation-based Education Pedersen's recent work includes 2024 studies on AR projections for medical simulations and optimization in additive manufacturing , while earlier studies (2020–2015) explore spline-based modeling , sensor fusion for winter roads , and subsurface visualization . He collaborates with researchers like Tanita Fossli Brustad, Rune Dalmo, and Børre Bang, and is affiliated with the Simuleringer research group at UiT. His contact email is aleksander.pedersen@uit.no .

Adriano Jose Carmonaمشاهده پروفایل

استاد

• Microwave Remote Sensing
• GNSS-R
• Radio Frequency Interference Detection
• +۴ مورد دیگر

Adriano Jose Carmona serves as Full Professor at Universitat Politècnica de Catalunya (UPC-BarcelonaTech) within the Department of Signal Theory and Communications, College of Telecommunications Engineering. He holds dual affiliations with the Remote Sensing Lab (RSLAB) and NanoSat Lab, while also maintaining a visiting professorship at UAE University since 2022. His research spans microwave remote sensing , GNSS-reflectometry , RF interference mitigation , and nanosatellite development . Notable projects include the 3Cat series of CubeSats (3Cat-1 through FSSCAT), with FSSCAT producing the first scientific-quality Arctic soil moisture and sea ice maps using CubeSat technology. His work integrates signal processing innovations with practical Earth observation applications. Analysis of his 15 most recent publications reveals dominant trends in High-resolution soil moisture mapping using neural networks Earthquake precursor detection through multi-sensor thermal anomalies Advanced RFI mitigation techniques for radiometers CubeSat constellation architectures for 6G networks Wildfire burned area prediction using causal models Honors include IEEE Fellow (2011), ICREA Academia Award (2009, 2015), and the IEEE GRSS Education Award (2021), alongside multiple technology transfer prizes like the ESA Sentinel Small Satellite Challenge (2017). As research advisor, he has supervised 29 completed PhD theses (with 9 ongoing), producing professionals now at NASA/JPL, University of Michigan, and founders of startups BALAMIS and MITICS. His leadership extends to directing the CommSensLab Research Center (2016-2020) and serving as past President of the IEEE Geoscience and Remote Sensing Society.

Ketson R Maximiano Dos Santosمشاهده پروفایل

استادیار

• Stochastic engineering dynamics and mechanics
• Uncertainty quantification for complex systems
• Structural reliability
• +۲ مورد دیگر

Ketson R Maximiano Dos Santos is an Assistant Professor in the Department of Civil, Environmental and Geo-Engineering at the University of Minnesota. He is affiliated with the Stochastics Lab and the Center for Transportation Studies, focusing on stochastic methods for civil engineering systems. His research expertise spans stochastic engineering dynamics and mechanics, uncertainty quantification for complex systems, structural reliability, risk-based optimization, and signal processing for stochastic systems. These methodologies are applied to masonry structural analysis, infrastructure health monitoring, and construction process optimization. Recent publications (2024-2025) demonstrate strong emphasis on computational approaches for masonry structures, featuring topological data analysis for damage assessment, uncertainty-aware deep learning in crack detection, and geometric optimization for natural stone construction. His work consistently bridges civil engineering fundamentals with advanced computational techniques. He serves as Principal Investigator for a Minnesota Department of Transportation project developing temperature-based pavement performance prediction tools, and as Co-Investigator on a 3M-funded initiative applying machine learning to polymer dielectrics design. He directs the Stochastics Lab, which specializes in probabilistic methods for engineering dynamics, and maintains active collaboration with the Center for Transportation Studies on infrastructure resilience research.

• Astrophysics
• Cosmology
• Radio Astronomy
• +۲ مورد دیگر

Nceba Mhlahlo is a Lecturer in the School of Physics at the University of the Witwatersrand, where he conducts research in astrophysics and cosmology. He holds a BSc, BScHons, MSc, and PhD from the University of Cape Town. His contact information includes phone: 0117176831 and email: Nceba.Mhlahlo@wits.ac.za . His ORCID profile is accessible via 0000-0001-7435-2269 . Dr. Mhlahlo's research focuses on several interconnected domains: Galaxy clusters : Investigating shock acceleration, non-thermal pressure, and merger dynamics using multiwavelength data. Radio galaxies : Discovering and characterizing giant radio sources with instruments like MeerKAT and KAT-7. Cosmological fluid dynamics : Modeling interactions of dust fluids in expanding universes. Telescope surveys : Leading observational programs including the MeerKAT Galaxy Cluster Legacy Survey. His 15 publications (1999–2024) reveal thematic shifts: early nuclear physics (1999) and cataclysmic variables (2004–2007), transitioning to radio astronomy and galaxy clusters (2013–present). Recent works emphasize radio telescope discoveries, while earlier studies centered on stellar binaries. No awards, grants, or student mentoring activities are documented.

Diego Borro Yagüezمشاهده پروفایل

استاد

• Computer Graphics
• Virtual Reality
• Augmented Reality
• +۶ مورد دیگر

Diego Borro is a Full Professor (Catedrático) in Computer Science and Artificial Intelligence at TECNUN, Technological Campus of the University of Navarra , where he has been part of the faculty since 2004. He is a leading researcher at CEIT since 2003, focusing on Robotics, Virtual/Augmented Reality, Computer Vision, and Artificial Intelligence. His academic credentials include a PhD in Computer Science (2003) and an MS in Computer Science (2000) from the University of Navarra and University of Basque Country respectively. His research spans from 3D tracking and haptics to industry 4.0 applications and medical robotics, with over 34 journal papers and 65 conference articles. He has supervised 14 doctoral theses and participated in 55+ research projects. His leadership roles include heading CEIT's Simulation Unit (2012-2016) and Vision and Robotics (V&R) research line (2016-2022), currently serving as main researcher at Intelligent Systems for Industry 4.0 group (SS4I4). Accredited as Full Professor (Catedrático) by ANECA (3 sexenios) Member of IEEE, ACM, and Eurographics societies Key projects: STEPbySTEP exoskeleton benchmark, WARM AR maintenance systems, and inner ear drug delivery research