جست‌وجوی استاد و پژوهشگر

• Computational Mechanics
• Biomechanics
• Railway Systems
• +۵ مورد دیگر

Dr. Jesús R. Jiménez-Octavio is an Associate Professor in the Department of Mechanical Engineering at the School of Engineering (ICAI) of Comillas Pontifical University. He specializes in computational mechanics, biomechanics, road safety, and dentistry, with a focus on finite element analysis and computational fluid dynamics. As Academic Deputy Director at ICAI, he bridges academic leadership with multidisciplinary research. PhD in Industrial Engineering (2009), Comillas Pontifical University BSc in Industrial Engineering (2004), Comillas Pontifical University Research Interests : His work spans biomedical engineering (computational biomechanics, dental tissue characterization), railway systems (catenary-pantograph dynamics, wind load modeling), and automotive safety (seatbelt design, e-scooter injury analysis). He integrates numerical methods with experimental validation. Publication Trends : Recent articles emphasize biomechanics (vertebral injury modeling, dental stress analysis), railway engineering (dynamic cable systems), and safety simulation (impact scenarios). Cross-disciplinary themes include pandemic mobility analysis and AI in transportation safety. Scientific Awards : Honorary Distinction for Best Doctoral Thesis in Engineering (2010) Talgo Award for Technological Innovation (2010) 3rd National Sika Award for Adhesion Technology (2004) Multiple Erasmus and Marie Curie Fellowships Grants and Projects : Leads research on e-scooter safety , dental implant biomechanics , and high-speed railway dynamics . Collaborates with institutions like Mapfre CESVIMAP, European Rail Agency, and Mercedes-Benz Technology Group. Labs and Teams : Co-founder of the MOBIOS Lab (Mobility, Biomechanics, and Health Research), integrating AI, urban mobility, and injury prevention studies.

Carl Hooverمشاهده پروفایل

دانشیار

• Machine Learning
• Engineering Data Science
• Manufacturing Analytics
• +۴ مورد دیگر

Dr. Carl Hoover is an Associate Professor and Director of Laboratories in the Department of Mechanical & Aerospace Engineering at Clarkson University 's Coulter School of Engineering & Applied Sciences. With over 15 years of industry experience including executive leadership roles, he integrates machine learning and testing applications into engineering education and research. Ph.D. & M.S. in Mechanical Engineering (Clarkson University) B.S. in Aerospace Engineering (University of Virginia) His research focuses on data science applications across engineering domains, with current projects in temporal relational dependence models and manufacturing digital twins . Publications span renewable energy systems , biomedical prosthetics , and aeroelastic power sources . He oversees Clarkson's wind tunnel facility and mechanical testing labs , and founded the A-TEAMS committee for academic test equipment safety. Industry collaborations include co-developing Solinsky Challenge microcredentials in manufacturing analytics. Contact: choover@clarkson.edu Office: 264 CAMP Building, Clarkson University

• Electrical Engineering
• Renewable Energy Systems
• Power Electronics
• +۴ مورد دیگر

Milutin Jovanovic is a Reader in Power Engineering at Northumbria University's Faculty of Engineering and Environment. Previously, he served as a Senior Lecturer at the same institution and held roles at Liverpool John Moores University and the University of Newcastle, Australia. He holds a PhD in electrical engineering from the University of Newcastle (1997), alongside earlier degrees from the University of Belgrade, Serbia. His expertise spans electrical machines/drives, renewable energy systems, and wind energy conversion, with a focus on sensorless control and grid integration. Education: BEng (Electrical Engineering), University of Belgrade, 1987 MEng (Electrical Engineering), University of Belgrade, 1991 PhD (Electrical Engineering), University of Newcastle, Australia, 1997 Research Interests: Dr. Jovanovic's work emphasizes advanced control strategies for electrical machines, particularly doubly-fed reluctance generators (BDFRG) and wind energy systems. His research includes sensorless operation, parameter-independent control, grid fault mitigation, and multiport/multi-phase energy conversion systems. He has collaborated internationally, including through ERASMUS teaching programs in France and across Europe, Asia, and Australia. Teaching & Collaboration: He teaches power engineering subjects at undergraduate/postgraduate levels and has delivered invited lectures globally. Current projects include optimizing multiport systems and wind turbine control. His work is published in leading journals like IEEE Transactions and International Journal of Electrical Power & Energy Systems. Advising & Grants: Supervised Samuel Obi’s PhD on grid-connected doubly-fed wind generators. Collaborated on projects such as the 'Lingusitics Course' (2020) via Northumbria's research partnerships.

• Optimization applied to complex problems
• Predictive modeling in healthcare
• Interpretable Machine Learning
• +۹ مورد دیگر

Sara Lumbreras Sancho is a Senior Associate Professor at the ICAI School of Engineering, Universidad Pontificia Comillas, where she graduated in 2006 as the Graduation Prize Winner. She serves as Deputy Director of Research Results at the Technological Research Institute and co-leads the Chair of Science, Technology, and Religion with Jaime Tatay. Her research focuses on decision support techniques for complex problems in energy, healthcare, and finance, leveraging optimization methods like Benders decomposition, heuristics, and AI. She also explores the philosophy of technology, transhumanism, and AI's impact on anthropology. With over 70 academic publications and leadership in over 20 projects, she bridges technical innovation with ethical and anthropological considerations. Education: Bachelor’s Degree in Engineering from ICAI School of Engineering (2006) PhD in Decision Support Methods for Large-Scale Flexible Transmission Planning (2014) Research Interests: Optimization techniques (stochastic, Benders, metaheuristics) Predictive healthcare modeling Interpretable machine learning AI ethics and responsible science Energy systems planning (wind farms, transmission networks) Philosophical implications of technology Grants & Projects: Lead researcher in EU-funded initiatives like DIAMOND and OPEN_ENTRANCE Collaborations with industries like Iberdrola, Enel, and Pharoes Advisory Transnational projects addressing energy transition challenges Awards: Global Shaper (World Economic Forum) Marshall Memorial Fellow Outreach: Chair of Cátedra de Ciencia, Tecnología y Religión Keynote speaker at conferences like EURO 2025 and Science and Religion Forum Author of books and book chapters on AI ethics, transhumanism, and science-religion dialogue

• Sensors Technology
• Electromagnetic Modeling
• Thermal Systems
• +۳ مورد دیگر

Roman Beigelbeck is a Researcher at the University for Continuing Education Krems, affiliated with the Center for Modelling and Simulation. He specializes in sensor technology, electromagnetic systems, and thermal modeling. His work focuses on advanced sensor development for applications in energy efficiency, aerospace, and biomedical engineering. Current research includes leading the Correlated Analysis System for in-vivo Inspection of Semiconductor Process Wafers (FFG-funded, 2022–2025). He has contributed to projects like optimizing building energy efficiency via non-invasive sensors and advancing MEMS thermal wind sensor accuracy. His expertise spans computational materials science, electromagnetic shielding, and nanomechanical actuation. Publications highlight contributions to Measurement Science and Technology , IEEE Antennas and Propagation Magazine , and MDPI Sensors . Key topics include electric field sensor design, Faraday cage shielding efficiency, and thermal flow sensor optimization. His lectures include advanced thermal models for LED modules and bulk viscosity sensing at international conferences. Notable collaborations involve FFG-funded projects and academic partnerships, such as TU Wien and TU Sofia. His work bridges theoretical modeling with practical industrial applications, emphasizing innovation in sensor technology and computational methods.

Mircea Neagoeمشاهده پروفایل

استاد

• Renewable Energy Systems
• Mechanical Engineering
• Robotics
• +۵ مورد دیگر

Mircea Neagoe is a Professor at the Department of Product Design, Mechatronics and Environment , part of the Faculty of Product Design and Environment at Transilvania University of Brașov. His work focuses on renewable energy systems, robotics, and product design innovation. He holds a patent for a counter-rotating wind system and has authored books on robotics kinematics and mechanical mechanisms. Research interests include Tracking systems for solar converters Wind energy systems and turbine dynamics Mechanism design and robotics Integrated product development Artificial intelligence in engineering Recent work emphasizes counter-rotating systems for wind and solar energy, planetary gear transmissions, and parallel robots. His studies bridge mechanical engineering with sustainable energy solutions for built environments. Professional contributions include over 100 peer-reviewed articles and collaborations on energy conversion technologies. No scientific awards explicitly listed, but his patents and publications reflect significant technical contributions. Advising focuses on graduate research in renewable systems and mechatronics. No specific grants cited, though his work aligns with EU sustainability initiatives.

Petru Adrian COTFASمشاهده پروفایل

استاد

• Renewable Energy Systems
• Hybrid Energy Systems
• IoT in Energy Monitoring
• +۶ مورد دیگر

Prof. Petru Adrian COTFAS holds a position as Professor in the Department of Electronic and Computers at the Faculty of Electrical Engineering and Computer Science, Technical University of Brașov (UNITBV). His work focuses on advancing renewable energy systems, hybrid energy technologies, and IoT-based monitoring solutions. He leads research on photovoltaic cell optimization, thermoelectric generator performance, and cybersecurity in smart energy systems. His contributions include developing virtual instrumentation frameworks (e.g., LabVIEW-based tools) and experimental setups like the RELab system for studying solar/wind energy dynamics. Research Interests: Characterization of renewable energy systems (hybrid photovoltaic-thermoelectric configurations) IoT integration for remote energy monitoring and control Metaheuristic algorithms for parameter extraction in solar cells Cybersecurity resilience for smart energy infrastructure Energy efficiency in industrial systems (e.g., AHU optimization) Key Contributions: Prof. COTFAS has pioneered studies on dust impact mitigation for solar panels, developed novel methods for concentrated solar power systems, and addressed cybersecurity vulnerabilities in IoT-enabled energy grids. His work bridges theoretical models (e.g., multi-junction solar cell theory) with practical implementations like FPGA-based remote laboratories. Over 60 peer-reviewed articles since 2016 showcase his interdisciplinary approach to energy sustainability and technological innovation.

Yashwant Sinhaمشاهده پروفایل

عضو هیئت علمی

• Renewable Energy Systems
• Offshore Wind Turbine Maintenance
• Predictive Maintenance Algorithms
• +۳ مورد دیگر

Yashwant Sinha, Ph.D., is an Instructor and MET Program Advisor at the Department of Electrical & Computer Engineering and Mechanical Engineering within the Henry M. Rowan College of Engineering at Rowan University. His expertise lies in renewable energy systems, particularly offshore wind turbine maintenance optimization and predictive maintenance strategies. Dr. Sinha holds a Ph.D. from Robert Gordon University (UK), an M.Phil. from the University of Cambridge (UK), and a B.E. from Sikkim Manipal Institute of Technology (India). His research focuses on improving offshore wind energy infrastructure through advanced maintenance models, condition monitoring techniques, and failure prognostics. Notable contributions include developing the Gestione software package for offshore wind turbine maintenance optimization and a wind farm maintenance management tool (patent pending). Key research trends across his work include integrating predictive analytics into maintenance frameworks, enhancing component reliability in harsh offshore environments, and optimizing lubrication systems for gearbox longevity. His recent presentations address human productivity improvements and risk mitigation in offshore operations. Awards: ETP Ph.D. Scholarship, ETP Conference 2013 Poster Award Memberships: ASQ, IEEE, NSPE, HEA (UK) Dr. Sinha advises on MET programs and collaborates internationally, evidenced by his participation in UK-China conferences on wind energy in cold climates and presentations at global forums like the Offshore Wind Power Conference (2021). His work bridges theoretical advancements in power electronics with practical offshore maintenance challenges.

Federico Bianchiمشاهده پروفایل

استاد

• Atmospheric Chemistry
• Climate Science
• Aerosol Dynamics
• +۵ مورد دیگر

Federico Bianchi is a Professor at the University of Helsinki’s Institute for Atmospheric and Earth System Research (INAR) within the Faculty of Science. His research focuses on atmospheric aerosol processes, biogenic particle formation, and their impacts on climate and human health. He leads projects like Chasing Pre-Industrial Aerosols and Organic Geoengineering , and collaborates internationally on initiatives such as the Pan-Eurasian Experiment (PEEX) . Research Interests : Bianchi specializes in aerosol dynamics, new particle formation mechanisms, and the interplay between air pollution and climate. He investigates topics including biogenic emissions (e.g., monoterpenes, sesquiterpenes), urban pollution transport, and high-altitude aerosol chemistry in regions like the Amazon, Himalayas, and Arctic. Awards : He has received the Arne Richter Award for Outstanding Early Career Scientists (2017) and the Swiss Aerosol Award (2016) . His work is supported by grants from the European Union and national funding agencies. Labs/Teams : He supervises the Polar and Arctic Atmospheric Research (PANDA) group and contributes to the Doctoral Programme in Atmospheric Sciences . Collaborations include the WRF-Chem modeling team and field campaigns like SALTENA in the Andes.

Antonio Agudo Martínezمشاهده پروفایل

پژوهشگر

• Computer Vision
• Robotics
• Non-Rigid Structure from Motion
• +۳ مورد دیگر

Antonio Agudo Martínez is a Research Scientist at the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of the Spanish National Research Council (CSIC) and Polytechnic University of Catalonia (UPC). His work spans computer vision, robotics, and machine learning with applications in medical rehabilitation, sports analytics, and renewable energy systems. He holds advanced degrees in Industrial Engineering, Computer Science, and a PhD in Computer Vision and Robotics from the University of Zaragoza. His research focuses on non-rigid structure from motion , 3D reconstruction , and deformation analysis , with significant contributions to medical applications (stroke rehabilitation), sports analytics (soccer trajectory modeling), and industrial systems (wind turbine monitoring). His publication record shows consistent high-impact output at top venues like CVPR, ICCV, and ECCV, with recent work emphasizing uncertainty quantification in diffusion models and multi-agent trajectory prediction. Notable scientific recognition includes a Best Paper Award Honorable Mention at ECCV 2018 for GANimation: One-Shot Anatomically Consistent Facial Animation. His research portfolio includes leadership of national projects like GreenVAR (renewable energy systems) and GRAvatar (realistic avatar generation), alongside contributions to SMARTGAZE II for low-vision mobility assistance. Dr. Agudo actively supervises doctoral research in computer vision applications, with current PhD candidates focusing on multimodal tracking for autonomous vehicles, soccer video understanding, sports metrics, and avatar generation. His international collaborations include work at Harvard University, Queen Mary University of London, University College London, Bordeaux University, and National University of Entre Ríos.

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۳ مورد دیگر

Md. Ismail Hossain is an active academic researcher with a focus on Artificial Intelligence , Machine Learning , and Cybersecurity . His work spans both theoretical and applied domains, including Neural Network Pruning , Electric Vehicle Charging Systems , and Security Analysis of emerging technologies. Key Research Themes : Neural network optimization, deepfake detection, and energy systems integration Recent Trends : Articles from 2022-2025 show increasing focus on AI model efficiency and security frameworks

Mehmet Murat Tezcanمشاهده پروفایل

استادیار

• Electric Vehicle Traction Systems
• Electrical Machines Design
• Renewable Energy Systems
• +۴ مورد دیگر

**Mehmet Murat Tezcan** is an Assistant Professor at the Faculty of Engineering of Dumlupınar University, specializing in the Electrical and Electronics Engineering Department . He holds a PhD from Yıldız Technical University (2015) and has been actively involved in academic and technical roles since 2005. His primary research focuses on electric vehicle traction systems, renewable energy conversion, and advanced motor design. He has led projects such as the "Prototip Elektrikli Araç Uygulaması için Verimli Batarya Sistemi" and contributed to over 50 publications, including journals like Electric Power Components and Systems . Notable awards include the 2024 TÜBİTAK Efficiency Challenge Visual Design Award and a 2023 first prize in electric vehicle acceleration races. Education: Bachelor's in Electrical & Electronics Engineering (Dumlupınar University, 2004) MSc in Electrical Engineering (Dumlupınar University, 2008) PhD in Electrical Engineering (Yıldız Technical University, 2015) Research Interests: Electric vehicle propulsion systems High-efficiency motor design Renewable energy integration Finite element analysis of electrical machines Grants/Projects (recent): Executive of "Lightweight Racing Electric Vehicle" project (2024-) Researcher on dual-fed induction generator design (2018-2020) Awards: TEKNOFEST 2024 2nd Prize (Unique Performance Category) TÜBİTAK 2023 Acceleration Race 1st Prize Academic Roles: Academic Advisor for Dumlupınar University's E-Sports and Cycling Teams Department Deputy Chairman (2020-2023)

Chundeva Snezhanaمشاهده پروفایل

استاد

• Electrical Engineering
• Power Systems
• Electromagnetic Analysis
• +۴ مورد دیگر

Chundeva Snezhana is a Full Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje. She holds a Doctorate in Technical Sciences (2002) and has extensive experience in electrical engineering, including roles as an Assistant (1995-2003), Assistant Professor (2003-2008), and Associate Professor (2008-2013) before becoming a Full Professor in 2013. Her work focuses on transformers, power quality, renewable energy integration, and electromagnetic phenomena. She has contributed to international collaborations like the CIGRE/CIRED/UIE Joint Working Group C4.110, addressing voltage dip immunity and grid standards. Her research spans transformer design, smart grid technologies, and wind power integration, with over 50 publications in journals and conferences. She actively participates in academic and industry events, emphasizing practical applications of electrical engineering principles. Education: PhD in Technical Sciences (2002), MSc in Electrical Engineering (1994), BSc in Electrical Engineering (1991) from the University of Skopje. Research Interests: Electromagnetic analysis, transformer optimization, power quality, renewable energy systems, and smart grid technologies. Key Projects: Design optimization of special transformers, harmonic emission studies in wind parks, and hosting capacity analysis for microgenerators. Her work bridges theoretical and applied electrical engineering, with a focus on solving real-world challenges in energy systems and grid reliability. She has co-authored influential papers on transformer models, voltage dip immunity, and the integration of renewable energy sources into modern grids.

Nikolova-Poceva Sofijaمشاهده پروفایل

استادیار

• Energy Systems
• Power Engineering
• Energy Planning
• +۴ مورد دیگر

Nikolova-Poceva Sofija holds the academic rank of Assistant Professor at the Ss. Cyril and Methodius University in Skopje , specifically within the Faculty of Electrical Engineering and Information Technologies . She has been serving as a Junior Assistant since 2010 after her role as Demonstrator from 2007 to 2010. Education : B.Sc. (2006) and M.Sc. (2009) in Electrical Engineering from the Faculty of Electrical Engineering (ETF-Skopje) and Faculty of Electrical Engineering and Information Technologies (FEIT-Skopje), respectively. Her research focuses on power systems engineering , with emphasis on optimization algorithms for energy dispatch, hybrid energy systems (combining fuel cells, wind, and solar), and long-term energy planning incorporating nuclear power. She has contributed to modeling complex hydrothermal coordination, simulating wind integration into national grids, and assessing workforce requirements for nuclear programs. Her work demonstrates recurring engagement with mathematical optimization techniques , renewable energy systems , and infrastructure development . Publications span dynamic programming , genetic algorithms , and fuzzy regression models applied to energy generation.

• Nuclear Energy
• Renewable Energy Systems
• Clean Aviation
• +۵ مورد دیگر

Jonas Kristiansen Nøland is a Full Professor of Energy Conversion at NTNU and holds a concurrent position as Professor II at USN. He is a senior member of IEEE and leads research initiatives such as NTNU's Clean Aviation program and the SysOpt hydropower project. His academic journey includes a PhD in Engineering Physics from Uppsala University (Ångström Laboratory) and participation in NTNU's Outstanding Academic Fellows Programme since 2022. Research interests focus on modern nuclear energy (SMRs/4th gen), clean aviation (e-fuels/battery/hydrogen-electric), hyperloop technology, superconductivity, and grid resilience. He serves as an Associate Editor for IEEE Transactions on Energy Conversion, Industrial Electronics, and Transportation Electrification, and chairs the IEEE Power and Energy Society Norway Chapter. His work often bridges academia and industry, addressing global energy challenges via advanced electrical systems, renewable integration, and disruptive transportation technologies. Key contributions include studies on SMR grid roles, battery-electric aircraft feasibility, and hyperloop technical viability. He advises doctoral candidates on topics like superconducting motors and energy systems optimization.