جست‌وجوی استاد و پژوهشگر

Yong Kang Chenمشاهده پروفایل

استاد

• Applied Mechanics
• Renewable Energy Systems
• Energy Storage
• +۶ مورد دیگر

Professor Yong Kang Chen is a Professor of Applied Mechanics at the University of Hertfordshire, where he leads the Energy and Sustainable Design research group and serves as Head of the Automotive, Mechanical and Mechatronic Division in the School of Physics, Engineering & Computer Science. He holds a PhD, MSc, and BEng, and is a Chartered Engineer (CEng) with fellowships from the Institution of Mechanical Engineers (FIMechE) and Higher Education Academy (FHEA). His research focuses on applied mechanics with specialized interests in renewable energy systems, computational fluid dynamics, nanomaterials, and structural integrity. Key research themes include: Energy storage systems and flywheel technology optimization Phase change materials for building efficiency Wind turbine design for urban environments Surface engineering of polymer nano-composites Nano-fluid applications in thermal systems His publication portfolio demonstrates strong emphasis on sustainable energy solutions, with recent work exploring wind turbine shroud systems, PCM-enhanced building materials, and flywheel energy storage optimization. Nanomaterial research constitutes a significant secondary focus, particularly carbon quantum dots for optoelectronic applications. Honors include: Fellow of The Institution of Mechanical Engineers (FIMechE) Fellow of the Higher Education Academy (FHEA) He has secured over £1.3 million in research funding from EPSRC, Innovate UK, EU FP7 programs, and industrial partnerships. Notable projects include leadership roles in EU MAAT and SHELL consortiums, thermal analysis for Global Invacom Ltd, and development of structural health monitoring for wind turbine blades. He leads multiple active laboratories focusing on energy systems and advanced materials characterization.

Howard Schwartzمشاهده پروفایل

استاد

• Machine Learning
• Adaptive Control
• Multi-Agent Machine Learning
• +۳ مورد دیگر

Professor Howard Schwartz is a distinguished academic in Electrical and Computer Engineering at Carleton University , with a career spanning academia, industry, and robotics research. He earned his BEng in Civil Engineering from McGill University (1982), followed by MSc (1984) and PhD (1986) in Aerospace and Mechanical Engineering from MIT. His academic leadership includes serving as Department Chairman (2009-2013) and authoring the seminal text Multi-Agent Machine Learning: A Reinforcement Approach (Wiley, 2014). As an Associate Editor for IEEE Transactions on Cybernetics , he shapes discourse in cybernetic systems and machine learning. Research Focus Professor Schwartz's research bridges theoretical and applied domains: Machine learning for robotics and autonomous systems Adaptive control theory and multi-agent systems Reinforcement learning algorithms with fuzzy logic integration Real-time video analytics and GPS receiver development Nonlinear control systems for UAVs and wind energy optimization Industry Experience His career includes impactful industry engagements: Early development of high-performance GPS receivers at Canadian Marconi Co. (1982-1984) Sabbatical at March Networks (2001-2002) for video analytics Software quality control at CMC Electronics (2008) Software development for TV set-top boxes at Espial Inc. (2014-2015)

• Wood Science
• Structural Engineering
• Timber Mechanics
• +۵ مورد دیگر

Marie Johansson is a Professor in Timber Engineering at the Department of Building Technology, Faculty of Technology, Linnaeus University. Her career spans teaching structural engineering in bachelor’s and master’s programs and leading research projects on wood quality, strength grading, and timber mechanics. Acting supervisor in two PhD projects Expert Team Leader for "Construction & Design" in BioInnovation SIO-programme Research Interests : Wood material properties (shape stability, stiffness, strength) Connection technology in timber structures Climate change adaptation in agriculture (Öland, Sweden) Modular multi-storey timber buildings Fiber orientation modeling for strength prediction Publication Trends : Recent work focuses on wind-induced vibrations in tall timber structures, 3D fiber orientation models, genetic selection for timber traits, and non-destructive evaluation of wood properties. Collaborations with international conferences (WCTE, ICEM) and institutions highlight her contributions to wood science and sustainable construction. Research Groups : Leads the Wood Building Technology group, emphasizing applied mechanics and industrialized timber construction.

Antonio Contreras de Villarمشاهده پروفایل

دانشیار

• Coastal Engineering
• Hydraulic Engineering
• Sediment Transport
• +۳ مورد دیگر

Antonio Contreras de Villar is an Associate Professor at the University of Cádiz, affiliated with the Department of Industrial Engineering and Civil Engineering. A member of the RNM912 Coastal Engineering research group, his work focuses on hydraulic engineering, sediment transport, and coastal resilience. Education: PhD in Coastal Engineering from University of Cádiz (2017), with thesis on beach regeneration parameters under tidal conditions. His research spans advanced technologies like UAV-SfM photogrammetry for coastal defense monitoring, climate change impacts on coastal zones, and innovative sediment analysis methods. He also contributes to engineering pedagogy through virtual resources and laboratory practice improvements. Key scientific trends include sediment transport dynamics, climate adaptation strategies, and integration of geospatial technologies in coastal studies. While no awards are explicitly mentioned, his extensive publications reflect expertise in Mediterranean coastal systems, particularly in Cádiz and Málaga provinces.

• Hypersonics
• Aerothermodynamics
• Scramjet Propulsion
• +۴ مورد دیگر

Professor Richard Morgan is an academic at the University of Queensland's School of Mechanical and Mining Engineering, where he served as Director of the Centre for Hypersonics from 1997 to 2021. His research specializes in hypervelocity aerothermodynamics, scramjet propulsion, and advanced hypersonic testing facilities. He lectures in mechanical and aerospace engineering and maintains an extensive international research program. His research focuses on: Development of hypervelocity impulsive facilities (including the 'X' series expansion tubes) Hypersonic aero-thermo-dynamics and radiation physics Scramjet propulsion systems for high-speed flight Planetary entry phenomena including ablation and radiation coupling Superorbital ground testing methodologies Analysis of recent publications reveals a dominant focus on experimental hypersonics, particularly in expansion tube facility development, radiation measurement techniques, planetary entry simulations, and aerodynamic heating. His work consistently addresses challenges in recreating extreme flight conditions for spacecraft and missile technologies. Awards and honors include: NASA Ames Honour Award (2010) for contributions to Hayabusa asteroid sample return mission observations UQ Excellence in Research Higher Degree Supervision Award (2012) He leads significant research collaborations with DSTG, NASA, ESA, Oxford University, and Ecole Centrale Paris, supported by continuous ARC funding since 1990 including current Discovery grants. His laboratory develops cutting-edge facilities like the X3 expansion tube and T6 Stalker Tunnel for hypersonic testing.

Sarika Khushalani-Solankiمشاهده پروفایل

دانشیار

• Smart Grids
• Power Systems
• Electrical Engineering
• +۶ مورد دیگر

Sarika Khushalani-Solanki is an Associate Professor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University , affiliated with the Benjamin M. Statler College of Engineering and Mineral Resources . She holds a Ph.D. in Electrical and Computer Engineering from Mississippi State University (2006), an M.E. in Electrical Engineering from Mumbai University (2000), and a B.E. in Electrical Engineering from Nagpur University (1998). Education: Ph.D., Electrical and Computer Engineering, Mississippi State University, 2006 M.E., Electrical Engineering, Mumbai University, 2000 B.E., Electrical Engineering, Nagpur University, 1998 Her research interests focus on smart grids , microgrid modeling and control , data mining , and AI applications in power systems . She has pioneered work in cyber-physical microgrids , resilient frequency control , and intelligent power system restoration , with a strong emphasis on integrating renewable energy and electric vehicles into modern grids. Her recent publications highlight advancements in microgrid control under cyber disruptions , AI-driven disturbance identification , and stochastic optimization for resilient power systems. She actively employs machine learning , dynamic time warping , and neuroscience-based control to address challenges in smart grid technologies . Scientific Awards: NSF CAREER Award Honda Fellowship As an IEEE Senior Member and former IEEE PES Subcommittee Chair , she contributes to grid resilience standards and workforce development . She serves as an Editor for IEEE Transactions on Smart Grid and MDPI Energies , and has taught courses like Electric Distribution Systems , Power Markets , and Smart Grid Technologies .

• Turbulent Flow Modeling
• Wind Energy
• Renewable Energy Integration
• +۸ مورد دیگر

Luciano Castillo is a Professor at the School of Mechanical Engineering within the College of Engineering at Purdue University . His research spans turbulent boundary layers, wind energy, renewable energy integration, and bio-inspired engineering, with a focus on societal impacts such as energy-water nexus and social equality. Turbulent Flow Modeling with emphasis on initial conditions and micro-surfaces Wind Energy optimization and boundary layer interactions Renewable Energy Integration with water and thermal storage Biomedical Engineering applications in respiratory flow studies His recent publications explore robotics for classroom safety, mangrove-inspired erosion prevention, and renewable-powered desalination. Awards include the Alumni Distinguished Career Award (2023), ASME Fellow (2013), and multiple best paper awards. He leads initiatives like the US-Mexico Energy Corridor and contributes to interdisciplinary labs focusing on energy and societal challenges.

Carlo Alberto Avizzanoمشاهده پروفایل

دانشیار

• Robotics and Automation
• Human-Robot Interaction
• Computer Vision
• +۶ مورد دیگر

Carlo Alberto Avizzano serves as Associate Professor in Robotics and Automation at the University of Pisa's School of Engineering, Department of Information Engineering. He coordinates the Department of Excellence in Robotics & Artificial Intelligence (MUR) and leads the Intelligent Automation System Research Group. Research spans robotics, human-robot interaction, computer vision, and control systems Specializes in creating intelligent automation systems with cognitive capabilities Integrates AI, machine learning, and mechatronics for robust autonomous systems His research focuses on developing robots that learn from human examples, adapt to changing environments, and interact through advanced perception systems. Current work emphasizes wearable robotics, UAVs, and industrial automation solutions with applications in medical rehabilitation, firefighting, and manufacturing. He employs distributed computing architectures integrating sensors, real-time control, and knowledge transfer algorithms. Publications reveal strong emphasis on practical implementations: 15 recent works cover exoskeleton design (2024), UAV firefighting systems (2024), industrial bin-picking datasets (2024), and haptic interfaces (2012-2023). Key trends show progression from virtual reality systems (2006-2008) toward modern AI-integrated robotics with industrial and medical applications. Teaching responsibilities include PhD courses in Sensors for Construction, Python Programming for HealthScience, and Digital Perception; plus undergraduate Mechatronics and Computer Vision labs. He serves on PhD boards for Emerging Digital Technologies and Health Science Technology. Extensive patent portfolio including haptic interfaces (2012), sailing simulators (2006), and UAV systems (2024) Research directly translated to commercial products and spin-off companies

James A. Sherwoodمشاهده پروفایل

استاد

• Composite Materials
• Sports Engineering
• Finite Element Analysis
• +۳ مورد دیگر

James A. Sherwood is a Professor and Associate Dean for Graduate Studies at the Francis College of Engineering, University of Massachusetts Lowell. He serves as Director of the Baseball Research Center and Co-Director of the Advanced Composite Materials and Textiles Research Laboratory (ACMTRL) and the Sports Collaborative for Open Research and Education (SCORE). Dr. Sherwood earned his B.S. in Engineering Science, M.S. in Applied Mechanics, and Ph.D. in Aerospace Engineering and Engineering Mechanics from the University of Cincinnati. With nearly 40 years of experience, he has established himself as an expert in finite element analysis and composite materials. His research interests focus on composite materials with specialty in the forming of composites, finite element modeling, sports engineering with emphasis on baseball and football, and constitutive modeling. Dr. Sherwood has developed novel modeling approaches for simulating composite forming using the finite element method and has expertise in characterizing textiles used for fabric-reinforced composites. His recent publications demonstrate a strong focus on wind turbine blade manufacturing, composite forming processes, and sports engineering applications, particularly in baseball equipment analysis. Fastballs, Flips and Physics - Science on the Sandlot - Baseball Hall of Fame Featured in ESPN Magazine for compliance testing of Major League Baseball E-Council Teacher of the Year for Mechanical Engineering (1999) E-Council Teacher of the Year for Mechanical Engineering (1998) Teacher of the Year for Mechanical Engineering (1997) Dr. Sherwood has led research projects totaling over $15 million, funded by NASA, AFOSR, NSF, DOE, US Army Natick Soldier Research Development and Engineering Center, NIST, Major League Baseball, Little League Baseball, NCAA, and various sporting goods companies. He currently leads the NIST FIBERS Consortium to address challenges faced by the U.S. Composites Manufacturing industry. His work bridges academic research with practical industry applications, particularly in wind energy and sports technology. As Co-Director of the Advanced Composites and Textile Research Lab (ACMTRL), Dr. Sherwood has built a research team focused on the structural behavior of composites and relating manufacturing processes to resulting structural stiffness. His Composites Forming research team has expertise in characterizing textiles for fabric-reinforced composites and has developed innovative approaches to simulating composite forming processes.

Sebastian Timmerbergمشاهده پروفایل

استاد

• Renewable Energy
• Environmental Engineering
• Hydrogen Technology
• +۶ مورد دیگر

Sebastian Timmerberg is a Professor in the Department of Environmental Engineering at Hamburg University of Applied Sciences. His research focuses on renewable fuels, energy system analysis, and sustainability assessment, particularly in hydrogen production and its role in transportation and industrial applications. Expertise in hydrogen technology and GHG emissions reduction Active in projects like NRL | Wasserstoff in der Kupfererzeugung and Northern German Living Lab Teaching areas: Renewable Fuels, Energy Systems Analysis His research spans hydrogen supply chains, wind energy integration, and economic analyses of hydrogen use in industry. He examines the environmental impact of energy systems through life cycle assessment and cost optimization, with recent work on electricity price signals and demand-side management for sustainable hydrogen deployment. Current projects focus on hydrogen production from renewables, blending hydrogen into existing pipelines, and assessing the feasibility of large-scale hydrogen infrastructure. His publications highlight cross-disciplinary approaches combining energy economics, environmental engineering, and industrial sustainability.

• Offshore wind energy
• Condition monitoring
• Reliability engineering
• +۵ مورد دیگر

Professor Christopher Crabtree is a faculty member in the Department of Engineering at Durham University , specializing in offshore wind energy systems and electrical machine reliability. His work bridges engineering practices with renewable energy innovation, focusing on condition monitoring and operational optimization for wind turbines. Durham Energy Institute (DEI) Centre for Renewable Energy Institute of Advanced Study (IAS) Research interests include offshore wind farm infrastructure planning , non-contact torque measurement , and power converter reliability under variable wind conditions . His recent work explores data-driven models for wind turbine diagnostics and probabilistic forecasting techniques. Key collaborations appear with researchers like Dr. Behzad Kazemtabrizi, Dr. Xiang Li, and Dr. Carlos David Pina-Gongora. Projects often intersect with renewable energy policy and industrial automation frameworks.

Shiqiang Yanمشاهده پروفایل

استاد

• Wave/current/wind interaction
• Structure responses in extreme sea conditions
• Renewable energy and low carbon technologies
• +۲ مورد دیگر

Professor Shiqiang Yan is an ocean engineering expert at City St George's, University of London , with over 25 years of academic experience. He obtained his PhD in Hydraulics (2007) from City University London, following MSc (2004) and BEng (1999) from Dalian Maritime University. His career includes Postdoctoral Research Fellow (2007-2012) and Lecturer (2012–present) positions at City University. Specializes in Wave-Structure Interaction and Extreme Sea Condition Modeling Developed QALE-FEM and ISPH-GNN hybrid numerical methods Research spans Wave Energy , Offshore Wind , and Marine Pollution Control His 15 most recent publications (2021-2025) demonstrate expertise in Wave-Structure Interaction (40% of articles), Hybrid Modeling (30%), and Renewable Energy Systems (25%). Key subfields include Wave-WEC Coupling , Ice Floe Dynamics , and Multi-Scale Hydrodynamic Modeling . He has advised PhD student Hao Yang (2013–present) on submerged oil spill research. Professional memberships include the International Society of Ocean & Polar Engineering (2013–present).

• Precision Livestock Farming
• Animal Monitoring Systems
• Machine Learning Applications in Agriculture
• +۵ مورد دیگر

Tomas Norton is a Senior Lecturer at the Faculty of Bioscience Engineering, Department of Biosystems at KU Leuven. He is actively affiliated with multiple research units including the Division of Bio-Environmental Control, the KU Leuven Brain Institute (LBI), and the KU Leuven Institute for Integration of Micro- and Nano-scale Technologies (LIMNI). His work is centered at the Animal and Human (A2H) research unit located at Castle Park Arenberg. Dr. Norton's research focuses on precision livestock farming with particular expertise in computer vision, machine learning, and sensor technologies applied to animal monitoring. His current projects span sustainable agriculture, animal vocalization analysis, and bio-response monitoring systems across multiple species including poultry, pigs, and buffalo. He serves as promotor on numerous research initiatives funded through 2028-2029 that address critical challenges in sustainable food production while improving animal welfare. His recent publications demonstrate a strong trend toward AI-driven solutions for animal monitoring, with particular emphasis on behavior recognition, health assessment through sound analysis, and robotic management systems. These works appear primarily in agricultural technology journals with a focus on practical implementation of advanced computational methods in farming contexts. As an academic leader, Dr. Norton serves on the Faculty Council of Bioscience Engineering, the Doctoral Committee for Bioscience Engineering, and the Departmental Council for Biosystems. He teaches courses including Modelling of Biosystems, Bioresponse Measurements and Process Control, and Sustainable Precision Livestock Farming, integrating his research expertise directly into his educational practice. His laboratory work within the A2H unit represents a multidisciplinary approach that bridges engineering, computer science, and animal science to develop practical technological solutions for modern agricultural challenges, with particular emphasis on sustainability and welfare improvements in livestock production systems.

Mohammad Nasir Uddinمشاهده پروفایل

استاد

• Renewable Energy
• Motor Drives
• Power Systems
• +۲ مورد دیگر

Dr. Mohammad Nasir Uddin is a Professor in the Department of Electrical & Computer Engineering at Lakehead University's College of Engineering. His work focuses on renewable energy systems, motor drives, and power electronics, particularly in wind and solar energy conversion and intelligent control methodologies like neural networks and genetic algorithms. BSc in Electrical and Electronic Engineering from the University of Engineering and Technology, Bangladesh MSc in Electrical and Electronic Engineering from the University of Engineering and Technology, Bangladesh PhD in Electrical Engineering from Memorial University of Newfoundland Dr. Uddin's research integrates advanced control techniques such as fuzzy logic and neuro-fuzzy systems with renewable energy applications. He actively contributes to sustainable energy development, with recent work highlighted in news features on wind energy and environmentally friendly systems.

Lesley De Cruzمشاهده پروفایل

پژوهشگر ارشد

• Climate Modeling
• Regional Climate Downscaling
• AI for Environmental Systems
• +۳ مورد دیگر

Lesley De Cruz is a Research Fellow at Vrije Universiteit Brussel's Electronics and Informatics department within the School of Electronics and Computer Science, with concurrent research affiliation at the Royal Meteorological Institute of Belgium since 2012. Current projects include climate-resilient urban modeling through BRGEOZ464 and flood prediction systems under FWOAL1127. Research focuses on AI-driven climate modeling with expertise in nonlinear dimension reduction (DIRESA framework), urban climate resilience, and renewable energy meteorology. Key methodologies integrate deep learning with environmental physics for applications including real-time flood prediction offshore wind farm optimization LEGO-based urban climate prototyping regional climate downscaling Recent publications (2023-2025) demonstrate strong trends in geospatial AI for environmental systems, with 64% focusing on climate change impact analysis, 54% on urban applications, and 51% on control measure development. The DIRESA framework represents a significant contribution to nonlinear dimension reduction in climate informatics. Awards include: Matìère Grise Science Communication Trophy (2024) Major media recognition for breakthrough rainfall prediction model (2021) Supervises multiple PhD candidates and leads public engagement initiatives including CurieuCity and Dag Van de Wetenschap. Current grants total 12 active projects (2021-2029) with €2.8M+ funding, primarily focused on climate adaptation and sustainable technology development. Labs and teams include the Climate Informatics Group at VUB and collaborative networks with Ghent University and the Flemish Institute for Carbon-Aware Technologies.