جست‌وجوی استاد و پژوهشگر

• HVAC Systems
• Indoor Air Quality
• Ventilation Engineering
• +۳ مورد دیگر

Weixin Zhao is a Visiting Professor in the Department of Energy and Mechanical Engineering, focusing on ventilation systems, indoor climate, and sustainable energy solutions. He holds a Doctoral degree in Engineering and Technology from Aalto University (2021). His research addresses airborne transmission mitigation, HVAC system optimization, and energy-efficient ventilation strategies. Key contributions include studies on micro-environment systems, waste heat recovery, and convective/radiant cooling systems. Research interests span ventilation design, thermal environment control, and sustainable energy integration. Zhao has published widely on topics like airborne transmission dynamics, indoor air quality, and HVAC system performance. He has received multiple awards, including three Best Paper Awards (2021, 2022) and the Chinese Government Award for Outstanding Self-financed Students Abroad (2022). Education: Doctoral degree in Engineering and Technology, Aalto University (2021) His work aligns with UN Sustainable Development Goals, particularly in education and sustainable infrastructure. Zhao actively participates in international conferences such as the REHVA World Congress and International Conference on Indoor Air Quality and Climate, contributing to global HVAC research networks.

Debaditya Acharyaمشاهده پروفایل

مدرس

• Computer Vision
• Machine Learning
• 3D Building Modelling
• +۳ مورد دیگر

Dr. Debaditya Acharya is a Lecturer in Geospatial Science at RMIT University's School of Science, where he teaches Remote Sensing and Photogrammetry. His research focuses on computer vision, machine learning, and 3D building modeling, with applications in indoor localization, augmented reality, and LiDAR technologies. He holds a PhD from the University of Melbourne (Australia), where his thesis addressed visual sensing for infrastructure-free indoor positioning using 3D models. Prior to his current role, he worked as a CSIRO Postdoctoral Fellow in the Machine Learning & AI Future Science Platform and as a postdoctoral researcher at RMIT, focusing on fisheries anomaly detection and food automation via deep learning. Key projects include developing the ISPRS benchmark for indoor modeling, 3D reconstruction of the Royal Exhibition Building using LiDAR, and pedestrian tracking frameworks for the Queen Victoria Market. His work emphasizes open-source solutions for spatial digital twins and geospatial data integration in data-scarce regions. Debaditya is actively involved in supervising research students at the Masters and PhD levels, particularly in smart city frameworks leveraging digital twins, IoT, and augmented reality applications.

Shilpi Tewariمشاهده پروفایل

پژوهشگر ارشد

• Urban Planning
• Air Quality
• Construction Management
• +۳ مورد دیگر

Dr. Shilpi Tewari is a Postdoctoral Research Fellow at RMIT University’s School of Property, Construction and Project Management and a casual academic with over a decade of teaching experience at Deakin University. Her multidisciplinary work bridges urban planning, air quality monitoring, and multiculturalism studies, supported by the Healthy Environment And Lives (HEAL) Network. Education : PhD in Architecture (Deakin University), Master’s in Social Engineering (Tokyo Institute of Technology), Bachelor’s in Architectural Engineering (NIT Calicut). Research focus includes localized air quality monitoring using low-cost sensors, urban livability metrics, and the intersection of multiculturalism with suburban development patterns. She explores how data-driven insights can inform healthier, sustainable cities and policy interventions for transportation-related air pollution. Teaching expertise : Construction management, urban design, and building material science at undergraduate and postgraduate levels, with innovative online course development (e.g., Clean Air for Urban Livability ). Recent publications address heat pump integration in social housing, comparative air quality legislation (Australia/Canada), and multicultural ethnoburbs in Australian cities. Her work emphasizes interdisciplinary collaboration between environmental science, urban planning, and public health.

James H. Garrett Jr.مشاهده پروفایل

استاد

• Civil Engineering
• Data Mining
• Machine Learning
• +۶ مورد دیگر

James H. Garrett Jr. is the Provost and Thomas Lord Professor of Civil and Environmental Engineering at Carnegie Mellon University. He previously served as Dean of the College of Engineering (2013-2018) and Head of the Department of Civil and Environmental Engineering (2006-2012). Garrett joined CMU in 1990 and has held leadership roles including Associate Dean for Academic and Graduate Affairs (2000-2006). Ph.D., Civil Engineering, Carnegie Mellon University (1986) M.S., Civil Engineering, Carnegie Mellon University (1983) B.S., Civil Engineering, Carnegie Mellon University (1982) Garrett’s research focuses on sensor systems, data mining, and machine learning for civil infrastructure condition assessment. His work spans smart cities, transportation engineering, and structural health monitoring, with applications in HVAC systems, water infrastructure, and bridge diagnostics. He has pioneered methods for integrating BIM with maintenance data and developing intelligent decision support systems. Garrett’s publications emphasize sensor networks, data-driven infrastructure management, and machine learning for anomaly detection in transportation and building systems. His work bridges civil engineering with computational methods, including variational autoencoders for rail monitoring and adaptive graph filtering for bridge diagnostics. Alexander von Humboldt Research Prize (2012) Steven J. Fenves Award for Systems Research (2007) ASCE Computing in Civil Engineering Award (2006) As founding co-director of the Pennsylvania Smarter Infrastructure Incubator and a leader in the Wilton E. Scott Institute for Energy Innovation, Garrett has advanced smart infrastructure through sensor networks and data analytics. He also served as co-chief editor of the ASCE Journal of Computing in Civil Engineering (2008-2013).

Christos Christodoulouمشاهده پروفایل

استاد

• Antennas and Electromagnetics
• High Power Microwaves
• Wireless Communications
• +۲ مورد دیگر

Christos Christodoulou is a Professor and Director of COSMIAC (Aerospace Research Center) at the University of New Mexico’s School of Engineering. He leads the Department of Electrical and Computer Engineering and previously served as Department Chair (1999-2005) and Dean of the School of Engineering (2017-2023). His research focuses on antennas, high-power microwaves, wireless communications, and machine learning applications in electromagnetics. Education: PhD in Electrical Engineering (North Carolina State University, 1985), MS in Electrical Engineering (North Carolina State University, 1981), and BS in Physics and Mathematics (American University in Cairo, 1979). Research interests include cognitive radio antennas, reconfigurable systems, and electromagnetic shielding. He has published over 600 papers, 18 book chapters, and 9 books. Awards include IEEE Fellow and Distinguished Lecturer (2007-2010). He advises students in doctoral and master’s programs, with over 40 PhD and 75 MS graduates. His work at COSMIAC emphasizes aerospace research, including antenna array design and millimeter-wave technologies.

Ole Michael Jensenمشاهده پروفایل

پژوهشگر

• Energy Engineering
• Energy Efficiency
• Historic Building Preservation
• +۳ مورد دیگر

Ole Michael Jensen is a Senior Researcher at Aalborg University's Department of the Built Environment within The Faculty of Engineering and Science. His work focuses on energy efficiency in buildings, particularly balancing preservation needs in historic structures with modern energy requirements. He leads projects like 'Historic Buildings Energy Renovation' and 'District Heating Demand Response Analysis.' Key affiliations include the Division of Sustainability of Buildings and collaborations with local municipalities on urban planning and energy policies. Research interests span energy systems, sustainable construction, and heritage preservation. Notable achievements include a 2007 Elforskprisen nomination for energy consumption studies in schools. His publications emphasize retrofitting techniques, policy conflicts, and renewable integration in historic buildings. Advising two PhD students, he also engages in media outreach to highlight climate-friendly building practices.

Adrian Neildمشاهده پروفایل

استاد

• Non-linear Ultrasound
• Microfluidic Systems
• Acoustic Streaming
• +۶ مورد دیگر

Adrian Neild is a Professor in the Department of Mechanical and Aerospace Engineering at Monash University. His research focuses on non-linear ultrasound, microfluidic systems, acoustic streaming, and optical positioning technologies. He leads projects in sperm dynamics analysis, single-cell proteomics, and embryo imaging. Key research areas include acoustofluidic platforms for cell manipulation, lab-on-a-chip systems, and novel biomedical instrumentation. Collaborative projects involve developing technologies for male infertility diagnosis, embryo viability assessment, and bacterial detection in food safety contexts. Recent work highlights include: Acoustic-based sperm separation methods Light-sheet microscopy for non-invasive embryo imaging Ultrasound-enhanced cell motility systems Visible light positioning systems Active grants include NHMRC-funded single-cell proteomics facilities and IVF embryo safety studies. His lab develops innovative devices such as sound-activated nanosieves and acoustic micro-dispensers.

• Urban Meteorology
• Environmental Engineering
• Air Quality
• +۳ مورد دیگر

Hannah Gough is a researcher with a PhD from the University of Reading, specializing in urban meteorology, environmental engineering, and building ventilation. Her work focuses on understanding airflow dynamics in urban environments, air quality, and the impacts of meteorological conditions on building design. She has contributed to interdisciplinary studies involving fluid dynamics, computational modeling, and field measurements. Education: PhD in Environmental Science, University of Reading (2017) Research Interests: Urban microclimate dynamics and pollutant dispersion Natural ventilation strategies in buildings Impact of wind patterns on urban structures Indoor environmental quality and health effects Key Research Themes: Her publications analyze topics such as tall building wake characteristics, cross-ventilation potential, and the variability of local winds in urban settings. She has collaborated on studies using computational fluid dynamics (CFD) and field experiments to validate ventilation models. Grants and Collaborations: Participated in interdisciplinary projects with institutions like the Royal Berkshire Hospital for applied studies on thermal comfort. Contributed to the Silsoe field campaign, investigating urban airflow dynamics. Labs/Teams: While not explicitly stated, her work aligns with research groups focusing on urban meteorology and sustainable building design.

Edward R. Sykesمشاهده پروفایل

استادیار

• Artificial Intelligence
• AI in Health
• Chronic Disease Management
• +۸ مورد دیگر

Edward R. Sykes is an Assistant Professor at the University of Guelph in the School of Computer Science , within the College of Engineering and Physical Sciences . He also holds appointments as an Adjunct Associate Professor at McMaster University and an Affiliate Scientist at the KITE Research Institute (University of Toronto). His research focuses on applied AI in healthcare , targeting chronic disease management, elder care, and healthcare accessibility through wearable computing and smart clothing. Research trends include: Developing AI models for chronic disease diagnostics (cardiovascular disease, diabetes). Creating predictive systems for fracture risk and fall detection in seniors. Building telemedicine platforms (e.g., RemoteHealthConnect, MyHealthPortal) to address rural healthcare disparities. Leveraging multi-modal datasets (biological, audio, video) and wearable devices for real-time health monitoring. Scientific awards highlight his impact: NSERC Synergy Award for Innovation (2021) [$100,000] Minister’s Award of Excellence (2020) NSERC Canadian Graduate Scholarship (2011) Ontario Graduate Scholarship (2011) Advising and grants reflect leadership in applied research: Supervised over 20 undergraduate capstone projects. Founded the Centre for Applied AI at Sheridan College , securing $15M+ in funding and partnerships with IBM, Apple, and Telus. Collaborates with KITE and McMaster University on AI-driven healthcare solutions. Labs and teams include the AI Lab at Guelph and leadership in the Centre for Applied AI , focusing on industry-community partnerships for scalable health innovations.

José Luis Lázaro Galileaمشاهده پروفایل

استاد

• Electronics Engineering
• Intelligent Systems
• Positioning Systems
• +۳ مورد دیگر

José Luis Lázaro Galilea is a Professor in the Department of Electronics at the University of Alcalá. He is affiliated with the GEINTRA research group, focusing on Electronic Engineering applied to Intelligent Spaces and Transport. His doctoral thesis (1998) explored infrared modeling for mobile robot guidance. Key research areas include visible light positioning systems, FPGA-based hardware architectures, and remote laboratory development. He has contributed to vehicular VLC systems, indoor navigation algorithms, and biomedical applications like closed-loop insulin delivery systems. Notable projects include the ALCOR initiative for optimizing robot guidance in smart environments and the Helpresponder system for emergency intervention safety. Education: PhD in Electronics from University of Alcalá (1998). Supervised by Dr. Manuel Ramón Mazo Quintas. Academic focus spans digital electronics, embedded systems, and sensor networks. Active in educational innovation, including adapting digital electronics practices for blended learning models. Research emphasizes practical applications of electronic systems in smart spaces, with over 70 publications since 1998. Recent work addresses multipath effects in optical positioning, reconfigurable hardware platforms, and human-centered lighting systems. His interdisciplinary approach integrates robotics, telecommunications, and biomedical engineering. Notable contributions include: Development of high-precision indoor positioning systems using PSD sensors Optimization of sensor deployment via evolutionary algorithms Design of FPGA-based real-time processing architectures Innovative remote laboratory frameworks for STEM education Current projects explore vehicular visible light communication, wearable medical devices, and intelligent transportation systems. His work bridges theoretical advancements with practical implementations in both academic and industrial contexts.

• Renewable Energy Systems
• Electronics Engineering
• Sensor Technology
• +۴ مورد دیگر

Francisco Javier Meca Meca is an Associate Professor in the Department of Electronics at the Universidad de Alcalá. He holds a Ph.D. from the same institution (2001), with a thesis titled Medida de temperatura sin contacto con alta velocidad de respuesta supervised by Dr. Manuel Ramón Mazo Quintas and Dr. Francisco Javier Rodríguez Sánchez. His research focuses on electronics engineering applied to renewable energy systems, sensor technology, and control systems, particularly in thermal measurement, infrared systems, and robotics localization. He is a member of the GEISER research group, dedicated to electronic engineering for renewable energy applications. Key research interests include developing sensor systems for industrial monitoring, thermal infrared sensing for aerospace applications (e.g., Mars 2020 mission), and FPGA-based control systems for power electronics. His work integrates signal processing techniques with hardware implementation, emphasizing real-time systems and embedded electronics. Notable contributions span thermal drift compensation in transimpedance amplifiers, phase-based positioning for mobile robots, and optimal anchor placement algorithms for wireless networks. Publications highlight advancements in infrared positioning systems, predictive current control for power converters, and stability analysis of active power filters. His research bridges theoretical modeling with practical applications in renewable energy, industrial automation, and space technology. Ongoing work likely explores sensor fusion, energy-efficient control systems, and smart environmental monitoring.

Manuel Ocaña Miguelمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Autonomous Systems
• +۶ مورد دیگر

Manuel Ocaña Miguel is a Professor at the Department of Electronics, University of Alcalá. He leads the Robesafe research group (Service Robotics and e-Safety) focusing on robotics applications for road safety and autonomous systems. His doctoral thesis addressed WiFi-based localization for semi-autonomous robots, supervised by Dr. Luis Miguel Bergasa Pascual. Key research interests include autonomous driving technologies, computer vision, sensor fusion, and energy-efficient systems. His work spans robotics navigation, traffic management systems, and AI-driven safety solutions. Recent publications emphasize autonomous vehicle decision-making, energy optimization in EV charging, and human-robot interaction in healthcare. Notable contributions include real-time obstacle detection algorithms, gaze-based driver monitoring, and green machine learning implementations on embedded hardware. Prof. Ocaña's research integrates multi-disciplinary approaches: combining vision-based SLAM with GPS data, developing explainable AI for driver attention estimation, and optimizing solar module efficiency through thermal engineering. His projects often bridge theoretical advancements with real-world applications in automotive safety and smart energy systems. Publications highlight trends in fusion of sensor data (LiDAR/camera), transfer learning for autonomous systems, and simulation-based validation (CARLA). While no specific grants or awards are listed, his prolific output reflects sustained innovation in robotics and intelligent systems. The Robesafe lab serves as a hub for collaborative R&D in service robotics and e-safety technologies.

• Robotics
• Autonomous Systems
• Computer Vision
• +۳ مورد دیگر

Pedro Alfonso Revenga de Toro is an Associate Professor at the Department of Electronics of the Universidad de Alcalá. His research focuses on robotics, autonomous systems, computer vision, and real-time embedded systems. He holds a Ph.D. from Universidad de Alcalá with a thesis on real-time image processing architectures (2017), supervised by Dr. José Luis Lázaro Galilea and Dr. Alfredo Gardel Vicente. His work integrates advanced AI techniques like deep learning and reinforcement learning into autonomous vehicle systems, emphasizing safety and efficiency. He leads the Robesafe research group, dedicated to service robotics and road safety technologies. Key research areas include autonomous driving decision-making, 3D object detection in dynamic environments, and energy-efficient embedded systems. His contributions span both theoretical advancements (e.g., GAN-based driver attention models) and practical implementations (e.g., ROS-based autonomous vehicles). He has developed educational robotics workshops (Depecabot) to enhance student engagement in electronics and robotics. His publications address challenges in sensor fusion, path planning, and real-time positioning systems for autonomous applications. No scientific awards or grants are explicitly listed, but his extensive publication record reflects sustained contributions to robotics and transportation engineering since the 1990s. His work bridges academic research and real-world applications, particularly in improving road safety and vehicle automation.

• Robotics
• Renewable Energy Systems
• Microgrids
• +۴ مورد دیگر

Enrique Santiso Gómez is a Professor in the Department of Electronics at the University of Alcalá, specializing in electronic engineering applications for intelligent transport and renewable energy systems. His work bridges theoretical control strategies with real-world implementations in robotics and energy infrastructure. He earned his PhD from the University of Alcalá in 2003 with the thesis Absolute positioning of a mobile robot from brand recognition , supervised by Dr. Manuel Ramón Mazo Quintas and Dr. Jesús Ureña Ureña. His educational background established the foundation for his current research trajectory in mobile robotics and sensor systems. His research focuses on event-triggered and aperiodic control systems applied to diverse domains. Key areas include Robotics: Trajectory tracking, indoor positioning, and multi-robot coordination Renewable Energy: Blockchain-based microgrid management and photovoltaic integration Transport Systems: Railway safety with virtual balises and vehicle platooning Sensor Innovation: Laser scanning for state estimation and pressure monitoring in industrial processes Analysis of his 15 most recent publications (2022-2013) reveals a consistent evolution toward resource-efficient control architectures . Early work emphasized robot localization and event-based sensing (2013-2017), transitioning to energy-focused applications (2020-2022) where blockchain strategies now optimize community microgrids. The interdisciplinary nature spans electrical engineering, computer science, and transportation engineering with recurring themes of delay tolerance and measurement error reduction. He actively contributes to two major research groups: GEINTRA : Electronic Engineering Applied to Intelligent Spaces and Transport GEISER : Electronic Engineering Applied to Renewable Energy Systems These groups drive his collaborative projects in smart infrastructure and sustainable energy solutions.

• Cartography
• Surveying Techniques
• Geomatics Engineering
• +۵ مورد دیگر

Assoc. Prof. Dr. Serdar Bilgi is an academic at Istanbul Technical University (ITU), affiliated with the Civil Engineering Faculty and the Department of Geomatics Engineering . He holds the rank of Associate Professor and has served in leadership roles such as Head of Department and Vice Dean at ITU. His research focuses on Cartography , Surveying Techniques , and interdisciplinary applications of geomatics, including 3D modeling, deformation monitoring, and geospatial analysis. Education : PhD in Geomatics Engineering, ITU (2003–2012) MSc in Geodesy and Photogrammetry Engineering, ITU (1997–2001) BSc in Geodesy and Photogrammetry Engineering, ITU (1997–2001) Research Interests : Prof. Bilgi’s work spans cultural heritage documentation (using UAVs and 3D modeling), deformation monitoring of dams and fault zones via GPS and geodetic methods, and GIS applications in urban planning and disaster management. He has led projects on topics like laser scanning for endoscopic imaging and integrating historical data into modern systems. Publications : His recent work includes studies on visual localization algorithms, dam deformation analysis, and spatial patterns in Istanbul. These reflect his expertise in computational geomatics, sensor fusion, and geophysical modeling. Awards : BİDEB 2214 International Research Scholarship (TUBITAK, 2010) Grants & Projects : He has executed over 15 research projects, including: Deformation Monitoring of Atatürk Dam (2006–2013) – Geodetic risk assessment Integration of 3D UAV Models into GIS (2019–2024) – Heritage site preservation CBS Sel Heyelan Hasar Tahmini (2009–2017) – Flood risk modeling Labs/Teams : Though not explicitly named, his projects involve collaboration with ITU’s geomatics and engineering teams, focusing on fieldwork and computational modeling.