جست‌وجوی استاد و پژوهشگر

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.

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.

• Measurement Technique
• GIS and Information Technologies in Planning
• Lidar
• +۳ مورد دیگر

Ramazan Alper Kuçak is an Assistant Professor at the Department of Geomatics Engineering, Faculty of Civil Engineering at Istanbul Technical University. He holds a PhD in Geomatics Engineering from the same institution and has extensive experience as a Research Assistant at multiple universities, including Nigde University and Republic University. His research focuses on advanced geospatial technologies, including LiDAR, 3D modeling, and GIS applications in urban planning. Education: PhD in Geomatics Engineering (2016), Istanbul Technical University Master's Degree in Surveying Engineering (2013), Yildiz Technical University Bachelor's Degree in Surveying Engineering (2010), Yildiz Technical University Research Interests: His work emphasizes innovative applications of geomatics technologies, such as terrestrial laser scanning for heritage preservation, mobile mapping systems for smart cities, and comparative analysis of localization algorithms. He also explores low-cost sensor integration and open-source software for geospatial data analysis. Publications Trends: His recent articles highlight advancements in LiDAR sensor performance, 3D point cloud processing, and algorithmic improvements for geospatial data. He frequently publishes in domains like cultural heritage documentation, urban infrastructure analysis, and sensor fusion techniques. Professional Contributions: Dr. Kuçak has no documented scientific awards but has actively contributed to academic research through collaborative projects and teaching. His work experience spans research roles at multiple institutions, demonstrating a strong commitment to advancing geomatics engineering. Future Work: Ongoing research includes optimizing LiDAR integration with consumer electronics and enhancing point cloud registration algorithms for real-world applications.

Visa Koivunenمشاهده پروفایل

استاد

• Statistical Signal Processing
• Wireless Communications
• Radar Signal Processing
• +۴ مورد دیگر

Visa Koivunen is the Aalto Distinguished Professor at Aalto University, Finland, with a global reputation in statistical signal processing and wireless communications. He has held prestigious positions including Academy Professor (2010-2014) and Principal Investigator for the SMARAD Center of Excellence (2002-2013). Education: D.Sc. (EE) from University of Oulu Current roles: Full Professor at Aalto University Visiting appointments: EPFL (2022-2023), Princeton University (2007, 2010-2013) His research spans statistical signal processing , radar systems , machine learning for radio frequencies , and integrated sensing and communications (ISAC) , with a focus on robust algorithms and practical applications. Recent work explores reinforcement learning for ISAC resource allocation and James-Stein estimator-based change detection. Notable awards include IEEE Fellow , EURASIP Fellow , Mannerheim Research Foundation Award , and Knight of the Order of the White Rose of Finland . Patents: 5 co-invented (US Patent Nos. 7787548, 7929937, 7949357, 20090197550, 20100120467) Publications: 490+ scientific papers, 116 peer-reviewed journal papers, h-index 60 Service: IEEE Fourier Award Committee, SPS Awards Board, NATO Radar panels

Simon Cottonمشاهده پروفایل

استاد

• Wireless Communication
• Electrical Engineering
• Computer Science
• +۳ مورد دیگر

Simon Cotton is a Professor at Queen's University Belfast, affiliated with the School of Electronics, Electrical Engineering and Computer Science and the Wireless Communication Systems Institute. His research focuses on advanced wireless communication systems, including 5G/6G networks, reconfigurable intelligent surfaces (RIS), and millimeter-wave technologies. He has led major projects such as the Future Communications Hub in All-Spectrum Connectivity and contributed to initiatives like the UK Telecoms Innovation Network (UKTIN). His work encompasses channel modeling, antenna design, and machine learning applications in wireless networks. Key awards include the Harold A. Wheeler Prize Paper Award and Philip Leverhulme Prize, reflecting his impactful contributions to the field. He has been actively involved in national committees, such as the Wireless 2030 Report for the UK Government and DCMS 6G Consultation. His research has been widely disseminated through conferences and media, including BBC features on 5G and future wireless technologies. Recent projects span topics like secure wireless systems, energy-efficient MIMO architectures, and AI-driven network optimization. Collaborative work with institutions like the University of Oxford and Strathclyde highlights his role in advancing cross-disciplinary research in next-generation communication networks.

Erik Leitingerمشاهده پروفایل

عضو هیئت علمی

• Ultrawideband Wireless Communication
• Indoor Positioning
• Estimation/Detection Theory
• +۳ مورد دیگر

Erik Leitinger is a Senior Researcher at the Graz University of Technology, Austria. He holds a Dipl.-Ing. (M.Sc.) and Ph.D. in electrical engineering from the same institution, awarded in 2012 and 2016 respectively. His work focuses on ultrawideband (UWB) wireless communication, indoor positioning systems, Bayesian inference, and factor graph-based algorithms. He has contributed to multipath-based simultaneous localization and mapping (SLAM), cooperative localization, and MIMO systems. Leitinger’s research integrates theoretical frameworks like belief propagation and variational inference with practical applications in automotive radar, RFID positioning, and 5G/6G systems. His academic contributions span over 50 peer-reviewed articles, with recent work emphasizing non-ideal reflective surfaces, scalable positioning systems, and neural-enhanced SLAM algorithms. He actively collaborates with institutions like the University of Lund (Sweden) and KTH Royal Institute of Technology, contributing to projects such as the EU-funded IPIN competitions. Leitinger teaches courses on adaptive systems, signal processing, and machine learning. His student projects include topics like neural-enhanced SLAM, acoustic source localization using reflections, and real-time multipath-assisted localization with channel sounders. He is affiliated with TUGRAZonline and ORCID, maintaining an open research profile.

• Activity Recognition
• Sensor Networks
• Machine Learning
• +۳ مورد دیگر

Roles and Affiliations: Duc V. Le is an Assistant Professor at the Digital Society Institute and Pervasive Systems department. His work focuses on pervasive computing, sensor networks, and machine learning applications in smart environments. Research Interests: Dr. Le's research spans activity recognition, indoor localization, underground communication, and IoT systems. He explores innovative solutions like inertial navigation using Transformers and anchor-free localization techniques. His work integrates machine learning with sensor data to address challenges in smart infrastructure monitoring and human activity analysis. Awards: Best Paper Nominee (2023) - Pervasive Computing Key Contributions: Notable contributions include patents on fluid parameter detection and publications on subsoil communication, Wi-Fi CSI activity recognition, and self-diagnostic water pipelines. His research bridges theoretical advancements with practical applications in smart cities and environmental monitoring.

Julian Huberمشاهده پروفایل

دانشیار

• Energy Informatics
• Smart Grids
• Data Science
• +۳ مورد دیگر

Julian Huber is an Associate Professor at MCI Management Center Innsbruck, where he also served as Senior Lecturer from 2021 to 2024. Previously, he held roles such as Senior Expert in Smart Grids & Energy Markets at FZI Forschungszentrum Informatik and led the Information Management and Analytics department there. He earned a Dr. rer. pol. in Information Systems from Karlsruher Institute für Technologie (KIT) and holds M.Sc. and B.Sc. degrees in Engineering from KIT and TU Berlin. His research focuses on integrating technical and behavioral dimensions of energy systems, including smart charging systems, energy markets, and sustainable technologies. Notable projects include optimizing EV charging for carbon efficiency and improving indoor air quality using IoT sensors. He teaches courses on data science, IoT, and energy systems at MCI and other institutions. Huber’s work spans over 30 peer-reviewed publications, with recent emphasis on environmental data analysis, user-centric systems, and smart grid innovation. He actively contributes to conferences like the DACH+ Conference on Energy Informatics and co-leads research initiatives on energy informatics and sustainability.

Silvia Öttlمشاهده پروفایل

مدرس ارشد

• Smart Building Technologies
• Energy Efficiency in Buildings
• Ventilation Systems Design
• +۳ مورد دیگر

Silvia Öttl is a Senior Lecturer at MCI Management Center Innsbruck in the Smart Building Technologies department. Previously, she held a PostDoc position at the University of Innsbruck’s Institute for Construction and Material Science and worked at Bartenbach GmbH in R&D, focusing on energy-efficient building technologies. Her academic career includes a PhD in Astrophysics (2014) and prior roles in astrophysical research at the University of Innsbruck’s Institute for Astro- and Particle Physics. Education: PhD in Astrophysics (University of Innsbruck, 2014), MSc/BSc in Physics (University of Innsbruck, 2011), and Matura from Naturwissenschaftliches Bundesrealgymnasium Wörgl (2001). Research interests span smart building systems, energy-efficient ventilation, fire safety in HVAC systems, and sustainable construction. Her astrophysical work focused on planetary nebulae ionization, gamma-ray sources via H.E.S.S. collaboration, and astrochemistry of interstellar molecules. Publications include peer-reviewed studies in astrophysics and building technology, including contributions to the H.E.S.S. collaboration’s gamma-ray observations and recent work on indoor air quality optimization in educational facilities. She has received the MCI Teaching Award (2022). Teaching roles include courses on energy-efficient lighting, building physics, and astrophysics at the University of Innsbruck. She advises Bachelor’s theses on energy communities, renewable energy integration, and indoor environment monitoring. Professional training includes project management for Horizon 2020, didactic qualifications, and mediation in academic environments.