جست‌وجوی استاد و پژوهشگر

Donatus Oguamanamمشاهده پروفایل

دانشیار

• Structural Mechanics
• Dynamics and Vibration of Structures
• Intelligent Structures
• +۳ مورد دیگر

Dr. Donatus Oguamanam is an Associate Professor and Chair of the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University. He holds a PhD from the University of Waterloo (1994), MASc from the University of Regina (1990), and multiple degrees from the University of Lagos (BSc 1986, MSc 1988). His expertise spans Structural Mechanics, Dynamics and Vibration of Structures, Intelligent Structures, Computational Methods, and Continuum Mechanics. His research focuses on innovative applications like energy harvesting systems that convert mechanical energy into electrical energy (e.g., vibration-powered street lights or biomedical devices) and adaptive structures such as smart bridges and aircraft wings. He teaches courses including Statics and Mechanics of Materials (MEC 323/BME 323) and Solid Mechanics I (MEC 430). His work emphasizes interdisciplinary approaches, blending computational modeling with experimental validation. Recent studies include fatigue analysis of hybrid composites and vibration control of transmission lines. Despite no explicitly listed awards, his active research output reflects recognition in structural engineering. He prioritizes student engagement, aiming to foster problem-solving skills in engineering education. His research extends to dynamic analysis of mechanical systems, including overhead cranes, flexible manipulators, and aerospace structures. Collaborative projects involve material characterization of composites and smart systems design. While no specific lab names are mentioned, his work aligns with advanced material testing and computational mechanics frameworks.

• Mechanical Engineering
• Structural Mechanics
• Finite Element Method (FEM)
• +۶ مورد دیگر

Ralf Baumann is a Professor at the Institute of Mechanical Engineering and Energy Technology (IME) within the Lucerne School of Engineering and Architecture at Lucerne University of Applied Sciences and Arts (HSLU). He has served as Head of the Competence Center for Mechanical Systems since 2006 and as Deputy Head of IME from 2017 to 2023. His roles include being a lecturer in the Master of Science in Engineering (MSE) program since 2008 and a former Head of Department Numerical Simulation at Hilti AG. Education: Diploma in Aerospace Engineering, University of Stuttgart (1986-1992) Internship at Airbus (1988-1989) Diploma Thesis at Dornier GmbH (1992) Ralf Baumann's research focuses on Mechanical Engineering , particularly in Finite Element Method (FEM) , Structural Mechanics , Lightweight Structures , and Computational Mechanics . His work spans industrial applications such as overhead line conductors , ski manufacturing , robotics , and additive manufacturing . He has led projects like SwissSTES PIT/CCMS , Virtuelles Gehen , and vLRC – virtual Lucerne Robotics Center . His publications and presentations emphasize finite element modeling , contact stress analysis , thermal-mechanical simulations , and fluid-structure interaction in practical engineering scenarios. Scientific Awards: ANSYS Hall of Fame Competition - Best in Show 2018 Academic Zeppelin Award 'New Technologies' for Best Diploma Thesis (1993) As an educator, Baumann supervises Bachelor and Master Theses and has developed innovative 3D teaching methods via the Cyber-Classroom initiative. He has held leadership roles in the Swiss Industry Robotics Network and contributed to industry-specific projects involving ANSYS Workbench and Multilayer Stranded Cables .

• Surge Protection Systems
• Lightning Effects on Power Infrastructure
• High Voltage Dielectric Materials
• +۳ مورد دیگر

Dr. Peppas Georgios is an Assistant Professor in the Department of Electrical and Computer Engineering at the Technical University of Crete. His research focuses on surge protection systems, lightning effects on power infrastructure, and high-voltage dielectric materials. He leads projects on nanofluid-based insulation solutions and transient overvoltage mitigation in renewable energy systems. His work frequently addresses challenges in electric vehicle charging stations, medium-voltage grids, and transformer oil performance. Key research areas include: Design and modeling of surge protective devices (SPDs) Lightning protection for wind farms, substations, and pipelines Dielectric properties of natural ester oils and nanofluids High-voltage insulation systems for renewable energy applications Recent studies emphasize nanomaterials' role in improving breakdown voltage and thermal stability of insulating fluids. His work also investigates aging effects and radiation impacts on protective components. Collaboration with industry partners focuses on practical implementations of SPDs in residential and industrial settings. Dr. Peppas is based in the Science/ECE Building (Office 145Α-12) and can be reached at peppas@tuc.gr. His research has produced over 50 peer-reviewed articles since 2016, with 15 new publications in 2024–2025 alone.

Dominik André Strebelمشاهده پروفایل

مدرس

• Urban Climate Modeling
• Mesoscale Meteorology
• Machine Learning Applications
• +۵ مورد دیگر

Dominik André Strebel is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zürich, affiliated with the Chair of Building Physics. His research focuses on urban climate modeling, mesoscale meteorology, and machine learning applications in environmental systems. He holds a MSc in Engineering (Energy and Environment) from HSR Rapperswil (now OST), where his studies emphasized climate models for renewable energy forecasting and Smart Grids. His Master’s thesis involved developing a coupled climate and multiphysics model for overhead power lines in collaboration with Swissgrid, alongside improving weather forecasts using UAV data integration in WRF models. Research Interests: Urban Heat Island simulation and mitigation Mesoscale meteorological modeling (WRF, COSMO) Machine learning for urban climate analysis High-Performance Computing (HPC) and Data Science GIS and mathematical modeling for urban environments Key Contributions: Developed frameworks coupling WRF-UCM-SOLWEIG for thermal comfort mapping at city scale Advanced methods for quantifying urban climate drivers (e.g., LCZ analysis) Improved mesoscale predictions using hybrid ML and sensor data Explored intra-urban warming patterns in heatwaves across multiple cities Current Projects: Hybrid machine learning-mesoscale modeling for urban climate prediction Mapping heat exposure indices in mid-latitude cities Urban morphology clustering for identifying heat-vulnerable neighborhoods

• Structural Dynamics
• Railway Engineering
• Structural Health Monitoring
• +۷ مورد دیگر

Anders Rønnquist is a Professor and Head of the Department of Structural Engineering at NTNU's Faculty of Engineering. His research focuses on structural dynamics, railway infrastructure, and timber structures, with emphasis on reliability, safety, and innovative monitoring techniques. Collaborations include KTH Stockholm, University of Porto, and industry partners like Elektromotus and Vilnius-based entities. Research Interests Dynamic behavior of railway catenary systems and bridges Structural health monitoring using advanced sensors and machine learning Timber frame dynamics and connection stiffness modeling Wind-structure interaction in long-span bridges Conceptual form-finding in architectural engineering Recent Research Trends Recent work emphasizes data-driven approaches: Kalman filters for crosswind load estimation, deep learning for structural defect detection, and surrogate models for pantograph-catenary systems. Studies also address long-term monitoring of timber buildings and fatigue reliability of railway bridges under evolving traffic conditions. Education & Teaching Coordinates the Teknostart Master's program in Civil & Environmental Engineering. Teaches advanced courses in structural dynamics, steel structures, and railway catenary systems at NTNU. Active in interdisciplinary education bridging structural engineering and architecture. Research Groups Structural Dynamics Group Conceptual Structural Design Group

• Civil Engineering
• Structural Engineering
• Infrastructure Resilience
• +۵ مورد دیگر

Wei Zhang is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Connecticut (UConn). He holds a Ph.D. from Louisiana State University (2012). His research focuses on damage modeling, coastal resilience, fluid-structure interactions, and infrastructure reliability under extreme environmental loads. He leads the Damage Mechanics and Modeling Laboratory (DM2L), emphasizing data-driven and physics-based approaches for civil infrastructure systems. Research interests include wind-wave-vehicle-bridge dynamics, corrosion fatigue analysis, and probabilistic risk assessment of power distribution systems. His work integrates machine learning with traditional engineering models to address challenges like storm impacts, debris effects on bridges, and typhoon resilience. Key areas also involve modeling tree-failure risks, subsurface strain monitoring for landslides, and optimizing hurricane retrofit strategies for coastal communities. Zhang's recent research shows a focus on hybrid models for infrastructure resilience, combining mechanistic understanding with AI-driven prediction. He has developed frameworks for evaluating post-disaster livability and improving grid hardening strategies using spectral clustering and Bayesian networks. His work bridges structural vulnerability analysis with socioeconomic impacts of disasters. Awards and grants are unspecified, but his CV and Google Scholar profile indicate prolific publishing across civil engineering, environmental systems, and materials science. He advises on resilience assessment methodologies and collaborates on projects like the Connecticut Manufacturing Simulation Center and Eversource Energy Center.

Hassan Hemidaمشاهده پروفایل

مدرس ارشد

• Computational Fluid Dynamics
• Aerodynamics
• Wind Engineering
• +۴ مورد دیگر

Dr. Hassan Hemida is a Senior Lecturer in the School of Civil Engineering at the University of Birmingham. He holds a PhD in Train Aerodynamics from Chalmers University of Technology and a Licentiate in Thermofluids. His research focuses on Computational Fluid Dynamics (CFD), particularly Large-Eddy Simulation (LES), applied to train aerodynamics, wind engineering, and multiphase flows. He has led projects sponsored by organizations such as Network Rail and Swedish VINNOVA, and his work has been recognized with awards including the 2007 Best Conference Paper Award. Education: BSc (Hons) in Mechanical Power Engineering, Mansoura University (1995) MSc in Heat Transfer, Mansoura University (2000) LicEng in Thermofluids, Chalmers University of Technology (2006) PhD in Train Aerodynamics, Chalmers University of Technology (2008) Research Interests: Dr. Hemida’s work spans CFD modeling of environmental fluid flows, aerodynamics of trains, wind energy, and heat transfer optimization. He pioneered LES applications for train slipstream analysis and has contributed to improving train stability in crosswinds and tunnel aerodynamics. Recent Article Trends: His recent publications address slipstream dynamics, wind-blown contaminants on railways, and floating wind turbine lifecycle costs. These studies emphasize CFD-driven solutions for safety, energy efficiency, and environmental sustainability. Awards & Collaborations: 2007 Best Conference Paper Award Collaborations with industry partners like Scania and Bombardier Member of RRUK, Swedish Engineers Association, and Egyptian Engineering Association Teaching & Supervision: He supervises doctoral students on drag reduction, shape optimization, and finite element analysis. Courses include Fluid Mechanics, Heat Transfer, and Environmental Fluid Dynamics. Labs & Teams: Involved in multiphase flow research, wind tunnel simulations, and collaborative projects on rail safety and renewable energy systems.

Stephen Kentمشاهده پروفایل

پژوهشگر ارشد

• Railway Engineering
• Rail Decarbonisation
• Hydrogen Traction
• +۲ مورد دیگر

Stephen Kent serves as a Research Fellow at the Birmingham Centre for Railway Research and Education (BCRRE) within the Department of Civil Engineering, School of Engineering, University of Birmingham. With 16 years of prior industry experience in UK railways, he joined the university in 2010 to support railway education and lead decarbonisation research. His academic credentials include: BEng (Honours) in Mechanical Engineering from Heriot-Watt University (1993) MSc in Railway Systems Engineering from the University of Sheffield (1998) Research focuses on hydrogen traction systems and whole-life carbon reduction in rail, addressing critical challenges in sustainable transportation through wheel-rail adhesion studies and vehicle dynamics. His work bridges industry practice with academic innovation in railway decarbonisation. Recent publications demonstrate a strategic shift toward hydrogen infrastructure and carbon accounting methodologies in rail transport design and operations. Key recognitions: Fellow of the Higher Education Academy (2017) Chartered Member of the Institution of Mechanical Engineers (1998-2022) He mentors students in the MSc Railway Systems Engineering programme while securing significant research grants from the Rail Safety and Standards Board (RSSB), including DECARB (2022), Project Hyd-Energy (2020), and Traction Energy Decarbonisation (2018). As core faculty at BCRRE, he represents academia on the rail industry’s Independent Powered Traction Working Group, driving innovation in zero-emission railway technologies and infrastructure design.

• Computer Networking
• Telecommunications
• Internet of Things (IoT)
• +۷ مورد دیگر

Thomas Heide Clausen is a Professor at École Polytechnique (France) and leads its computer networking research group. He holds the Cisco Endowed Chair in 'Internet of Everything' and serves as Academic Director for the interdisciplinary Master's program 'IoT: Innovation and Management'. His work focuses on protocols and architectures for maintaining internet connectivity in dynamic environments, particularly through the development of the OLSR and LOADng routing protocols. Education: M.Sc. and PhD from Aalborg University (Denmark) Research: IoT networking, Smart Grid communication, wireless mesh networks, routing protocol design, network load balancing, and security in MANETs Recent Article Trends: Explored machine learning for load balancing (2022), zero-trust architectures (2023), and wireless optimization for IoT/SmarGrid (2016-2022) Scientific Awards: IEEE Senior Member (2016), IEEE Computer Society Distinguished Contributor (2021) Industrial Collaborations: Hitachi (Japan), Fujitsu (USA), Toyota (Japan), Cisco (USA/France), EDF (France), and others

Dulesova Natalia Valerievnaمشاهده پروفایل

دانشیار

• Electrical Engineering
• Power Systems
• Energy Economics
• +۲ مورد دیگر

Natalia Valerievna Dulesova serves as an Associate Professor in the Department of Electric Power Engineering, Mechanical Engineering and Automobile Transport at the Khakass Technical Institute, which operates as a branch of Siberian Federal University in Abakan, Republic of Khakassia, Russia. With 46 years of professional experience in the field, she teaches courses including Power Supply, Electrical Engineering and Power Supply, Energy Economics, Special Issues of Electricity Supply, and Power Supply Systems. Dr. Dulesova received her higher education from Krasnoyarsk Polytechnic Institute in 1978, graduating with a qualification as an Electrical Engineer. She holds the academic degree of Candidate of Economic Sciences (awarded in 2006 for her dissertation on "Improving forecasting and planning tools for energy sales companies") and the academic title of Associate Professor. Her research interests focus on electrical power systems, energy economics, and power supply optimization. Dr. Dulesova has published extensively on topics including overhead power line reliability, voltage unsymmetry analysis, and distribution network redundancy using information entropy principles. Her work bridges theoretical electrical engineering concepts with practical economic considerations in energy distribution. Dr. Dulesova has received numerous professional recognitions throughout her career: Letter of thanks from the Ministry of Energy of the Russian Federation (2024) Letter of thanks from the Supreme Council of the Republic of Khakassia (2020) Letter of thanks from the Ministry of Education and Science of the Republic of Khakassia (2020) Expert certificate for the Republican competition of student research works "Scientific potential of Khakasia" (2020) Honorary certificate from the director of KHTI - branch of SFU (2016) Thanks from the Federal Bailiff Service Administration for the Republic of Khakassia (2015) Honorary title "Honored Worker of Higher Education of the Republic of Khakassia" (2012) Chairman of the Public Council of the Federal Bailiff Service Administration (2010) Badge "Honored Worker of Higher Professional Education" (2006) Honorary certificate from the Presidium of the Supreme Council of the Republic of Khakassia (2000) Dr. Dulesova has actively mentored students, developing methodological guidance for final qualification works in the field of Electrical Power and Electrical Engineering. She has also created numerous educational materials including textbooks, electronic courses, and control-measurement materials. Her commitment to student development is evident through her participation in student research competitions and her recent training in student support and mentoring programs at Siberian Federal University. She maintains active professional development, having completed multiple advanced training programs in 2020-2023 including courses on cloud technologies, e-learning, inclusive education, and graphic design. Her educational contributions span both theoretical and practical aspects of electrical engineering education.

Nicolaj Haarhøj Malleمشاهده پروفایل

استادیار

• Aerial Robotics
• Unmanned Aerial Vehicles (UAVs)
• Power-line Maintenance and Inspection
• +۷ مورد دیگر

Nicolaj Haarhøj Malle is an Assistant Professor at the University of Southern Denmark’s Institute of Mechanical and Electrical Engineering and a member of the SDU Digital and High-Frequency Electronics group. He earned his PhD in Robotics in November 2023 with a dissertation on autonomous power-line perception and continues as a post-doctoral researcher until July 2025. Education PhD in Robotics, University of Southern Denmark (2020–2023) Post-doctoral Researcher in Aerial Robotics for Power-line Maintenance, University of Southern Denmark (2023–2025) Research Interests Malle’s work lies at the intersection of aerial robotics, power-line engineering, and embedded intelligence. He develops fully autonomous drones capable of landing on live overhead cables to recharge, inspect, and maintain critical infrastructure. His research integrates mm-wave radar sensing , computer vision , FPGA-accelerated perception , and machine learning to achieve robust navigation in GPS-denied, high-voltage environments. He also pioneers open-source hardware-software architectures for rapid prototyping of safety-critical drone swarms. Scientific Awards & Recognition Although no formal awards are listed, Malle’s work has received extensive national press coverage, including features in Information , DR Forskerfesten PhD Cup , and international tech media highlighting his “vampire drone” concept. Grants & Projects EU H2020 Drones4Safety (2020-2023) – PhD student participant EU H2020 Aerial Core (2019-2023) – PhD student participant InnoExplorer AIR-Ops (2023-2024) – Project participant Spin-outs Denmark OnGrid Aerial Systems (2024-2025) – Project participant Laboratories & Collaborations Malle collaborates closely with the SDU UAS Center and conducts experimental flights at dedicated drone test sites. He maintains an international network via visiting research stays (University of Zürich, Oct–Dec 2022) and active IEEE membership.

Robert Smykمشاهده پروفایل

استادیار

• FPGA
• Remainder Arithmetic
• Residue Number System
• +۵ مورد دیگر

Dr. Robert Smyk is an Assistant Professor in the Department of Automation at Gdańsk University of Technology's Faculty of Electrical and Automation Engineering. His office is located on floor 112 of the faculty building, and he can be contacted via email at robert.smyk@pg.edu.pl or by phone at +48 58 347 1332. Dr. Smyk's research spans several interconnected domains: Hardware-focused computing : FPGA implementations, residue arithmetic systems, and high-speed digital converters Algorithm development : Novel approaches to residue number system operations and signal processing optimizations Engineering applications : Computer vision for infrastructure inspection, cryptographic systems, and sensor data processing His publications demonstrate consistent focus on improving computational efficiency through mathematical optimizations and hardware-aware designs. With 67 publications documented in institutional repositories, his recent works explore: algorithmic improvements for residue arithmetic (2023-2025), thresholding/edge detection for industrial vision systems (2018-2022), and hardware architectures for specialized converters. Teaching activities include extensive involvement with 163 documented educational engagements.

• Electrical Engineering
• Power Systems
• Electric Machines
• +۳ مورد دیگر

Djordje Lekic is a Senior Lecturer at the Faculty of Electrical Engineering, University of Banja Luka, specializing in the Department of Electrical Power Engineering. He was elected to his current academic rank in December 2022. His research spans: Electric machine design and optimization Renewable energy integration and hybrid power systems Fault detection in power distribution networks Finite element analysis applications in electromagnetics Power electronics and drive systems Recent publications demonstrate strong focus on energy efficiency optimization, electromagnetic modeling, and sustainable power solutions. He has led or contributed to multiple national research projects including: Development of permanent magnet synchronous motors (2021-2024) Non-contact fault detection in power networks (2020-2022) Renewable energy for telecom infrastructure (2020-2022) Power quality improvement for industrial consumers (2019) with cumulative funding exceeding 100,000 BAM. He maintains active industry collaborations, including a patented wireless power transfer system with international inventors.

• Electrical Engineering
• Rail Transport
• Electric Traction
• +۵ مورد دیگر

Dr. Eng. Janusz Zbigniew Prusak is a Lecturer in the Department of Electrical Engineering at the Faculty of Electrical and Computer Engineering, Cracow University of Technology. His work focuses on electrical traction systems, tramway power networks, and energy efficiency. Institution: Cracow University of Technology School: Faculty of Electrical and Computer Engineering Department: Department of Electrical Engineering Academic Rank: Lecturer Email: jprusak@pk.edu.pl Prusak's research centers on analyzing load variability in traction substations, optimizing rectifier unit performance, and simulating energy losses in DC railway systems. He has pioneered the use of artificial neural networks for predicting tramway substation overloads and studying voltage fluctuations in urban transport networks. His publications since 2015 demonstrate expertise in tramway power systems, traction load modeling, and infrastructure modernization. Key trends include applying machine learning to railway energy management and improving electrical conditions for ice prevention on overhead lines.