جست‌وجوی استاد و پژوهشگر

Raul DE LACERDAمشاهده پروفایل

دانشیار

• Wireless Communication
• Signal Processing
• Electromagnetic Compatibility
• +۴ مورد دیگر

Raul DE LACERDA is an Associate Professor at the Signals and Intelligent Networks Department of CentraleSupélec and a researcher at the Signals and Systems Laboratory (L2S - CNRS). He holds degrees from the Federal University of Ceará (Brazil), Eurecom (France), and Alcatel-Lucent Bell Labs collaboration. His research focuses on advanced signal processing for wireless communications, spectrum sharing, and electromagnetic compatibility. He has contributed to projects like L-DACS2 and DME system coexistence, commercial PLC adaptation for avionics, and indoor positioning techniques. Raul has received awards for his work, including the Valuetools 2007 Best Student Paper Award and DASC 2010 Best Session Paper Award. He coordinates international partnerships through programs like the Erasmus Mundus EM-SMART2 consortium. Education: Electrical Engineering (Dipl.Ing., 2003) from UFC, M.Sc. in Teleinformatics (2005), French M.Sc. in Communication Systems (DEA), and Ph.D. in Wireless Communication (Eurecom). Research interests emphasize signal processing for wireless networks, including MIMO systems, UWB technologies, and interference mitigation. His work bridges theoretical advancements with practical applications in aerospace and avionics. Recent projects include hierarchical fingerprinting for indoor localization and 1-bit ADC MIMO data detection. Awards highlight his contributions to aeronautical communication systems and adaptive modulation. He collaborates with labs like L2S and has published extensively on coexistence systems, channel division multiple access (CDMA), and PLC adaptation for avionics. Advising and grants: No listed advisees but actively involved in Erasmus Mundus programs and international partnerships. His work is supported by collaborations with Ericsson, CNRS, and Bell Labs. Labs/Teams: Signals and Systems Laboratory (L2S), Inverse Problems Group, and Modelling and Estimation team.

Michele Magnoمشاهده پروفایل

مدرس ارشد

• Smart Sensing
• Low-Power Machine Learning
• Wireless Sensor Networks
• +۴ مورد دیگر

Michele Magno is a Senior Lecturer and Privatdozent at ETH Zürich's Department of Information Technology and Electrical Engineering (D-ITET), leading the D-ITET Center for Project-based Learning (pbl.ee.ethz.ch). He holds a PhD in Electronic Engineering from the University of Bologna (2010) and has held visiting roles at institutions like the University of Nice and Mid Sweden University. His research focuses on low-power systems, wearable devices, energy harvesting, and IoT applications. Magno has authored over 350 peer-reviewed papers, with a Google H-index of 49. Notable awards include the 2024 Best Paper Award at ECCV and multiple best poster/demo recognitions at IEEE conferences. His industrial collaborations include projects with STMicroelectronics, Texas Instruments, and Logitech. Teaching contributions include courses on embedded systems, FPGA programming, and machine learning on microcontrollers. Magno's innovations span smart sensors for wind turbines, bio-medical monitoring, and autonomous racing systems, with patents in touch communication and energy-neutral devices. Recent work emphasizes ultra-low-power solutions for AI-integrated wearables, energy-efficient IoT nodes, and real-time embedded vision systems. His labs and teams pioneer technologies like TinyssimoRadar for in-ear gesture recognition and WakeMod for ultra-low-power IoT connectivity.

Eli De Poorterمشاهده پروفایل

استاد

• IoT
• Wireless Network Protocols
• Wireless Testbeds
• +۴ مورد دیگر

Eli De Poorter is a Professor at the Faculty of Engineering and Architecture , Ghent University , and affiliated with IMEC since 2017. His work bridges experimental wireless research with machine learning techniques, focusing on IoT , UWB localization , and self-learning networks . Received his PhD in 2011 from Ghent University’s Department of Information Technology FWO Postdoctoral Research Grant recipient Co-author of over 100 international publications Active in program committees of multiple conferences His research spans wireless protocol optimization , interference detection , and system configuration dependencies . Notable projects include UWB-based healthcare monitoring , industrial IoT networks , and animal wearables for agriculture . Develops energy-aware tinyML models for battery-less devices Explores Transformer networks and self-supervised learning for wireless systems Investigates multi-modal industrial IoT and Wi-Fi/UWB hybrid synchronization Scientific Awards FWO Postdoctoral Research Grant Labs & Teams Internet Technology and Data Science Lab (IDLab) IMEC research institute

Irtaza Shahidمشاهده پروفایل

پژوهشگر

• Secure and Private Speech Communication
• Generative AI and Speech/Audio Models
• Deepfake and Misinformation Detection
• +۳ مورد دیگر

Irtaza Shahid is a Ph.D. candidate in Computer Science at the University of Maryland, College Park, and a Researcher in the Networking, Mobile Computing, and Autonomous Sensing Lab (iCoSMoS) under Prof. Nirupam Roy. He is also a Founding Deep Learning Engineer at Hearvana.ai, a stealth AI startup under the AI2 Incubator. Ph.D. in Computer Science (University of Maryland, College Park) MS in Computer Science (University of Maryland, College Park) BS in Electrical Engineering (Lahore University of Management Sciences, Pakistan) His research spans Human-Centric Acoustics , focusing on Speech Privacy , Deepfake Detection , and Earable-Based Health Sensing . He has published in top venues like USENIX Security, ACM MobiSys, and IEEE ICASSP. Recent publications highlight Secure Speech Communication (USENIX Security 2025), UWB Localization (NSDI 2025), and Privacy Frameworks for Extended Reality (HotMobile 2025). These works emphasize Edge AI , Low-Power Acoustic Systems , and Signal Integrity . Scientific Awards: Student Travel Grant (USENIX Security 2025), Student Seed Funding (Maryland Cybersecurity Center 2023), Dean's Fellowship (University of Maryland 2020), and multiple Dean's Honor List Awards (LUMS 2016-2020) His projects include VoiceSecure (tamper-proof speech systems), DPOAE Estimation (health sensing via earbuds), and ThermWare (side-channel defense for IoT devices). He has contributed to Audio Engineering Society conferences and collaborated with industry partners like Nokia Bell Labs.

Emanuel Radoiمشاهده پروفایل

استاد

• UWB signal processing
• full-duplex communications
• spectrum sensing
• +۳ مورد دیگر

Emanuel Radoi is a Professor in Signal Processing at the University of Brest , France, and a member of the "Information Security, Intelligence and Integrity" research team at Lab-STICC, CNRS UMR 6285. He has been an IEEE Senior Member since 2014 and served as Associate Editor for IEEE Communications Letters (2018-2021). M.Sc. (1997) and Ph.D. (1999) in Electronic Engineering and Signal Processing from University of Brest 20 book chapters and over 120 international conference/journal papers Specializes in UWB signal processing, full-duplex communications, spectrum sensing, time-frequency analysis, and sparse signal processing His recent research focuses on IR-UWB radar applications for indoor localization, people counting, and collision avoidance systems, as well as full-duplex communication architectures and compressed sensing techniques. He has developed experimental USRP-based implementations for real-time signal processing and contributed to advanced sea clutter models for radar target detection. Key publications address: Compressed sensing for UWB channel estimation (2016-2022) Self-interference cancellation in full-duplex transceivers (2020-2022) Machine learning integration with radar signal processing (2024) Cognitive radio architectures for high-speed railway applications (2014) Scientific Contributions: 2014 IEEE Senior Membership 2018-2021 IEEE Communications Letters Associate Editor Best Paper Award and Exemplary Reviewer recognition He actively participates in international conferences, chairs technical sessions, and contributes to journal special issues. His work bridges theoretical signal processing with practical implementations in wireless systems and radar technologies.

Roua Youssefمشاهده پروفایل

استادیار

• UWB Signal Processing
• Compressive Sampling
• Full-Duplex Communications
• +۴ مورد دیگر

Roua Youssef is an Assistant Professor at the University of Brest, France, and a member of the SI3 (Security, Intelligence and Integrity of Information) research team within Lab-STICC (CNRS UMR 6285). Her work focuses on advanced signal processing techniques for telecommunications, including UWB systems, compressive sampling, full-duplex communications, and drone detection. Education: She earned a Telecommunications Engineering diploma from the Lebanese University (Beirut, Lebanon) and an M.Sc. in Electronic Engineering from IMT Atlantique (Brest, France) in 2007. She completed her Ph.D. in Telecommunications at IMT Atlantique in 2011. Research interests include radar-based sensing for Industry 4.0 applications, robust heart rate detection in vehicular environments, and interference cancellation in full-duplex systems. Her work combines machine learning with UWB radar and compressive sensing to address challenges in indoor localization, collision avoidance, and non-cooperative signal detection. Recent contributions include experimental validation of IR-UWB radar systems for people detection in industrial settings and digital self-interference cancellation techniques for full-duplex transceivers. She has also explored low-complexity drone control signal detection and optimal Fourier coefficient selection for UWB channel estimation. Labs/Teams: Active member of Lab-STICC’s SI3 team, focusing on secure and intelligent information systems. Her research integrates hardware prototyping (e.g., USRP platforms) with algorithm development for real-world wireless communication problems.

• Robotics
• Human Localization and Navigation
• Behaviour Sensing
• +۳ مورد دیگر

Zhao Huang is a Lecturer in the Department of Computer and Information Sciences at Northumbria University, U.K. He holds a PhD in Computer Science from Queen Mary University of London. His research focuses on robotics, human localization, IoT, and behavior sensing with applications in sensor networks and real-time systems. Education: PhD in Computer Science, Queen Mary University of London, U.K. Research Interests: Robotics, Human Localization and Navigation, IoT-enabled sensing systems, fall detection, Bayesian learning, and augmented reality applications. His work emphasizes practical implementations in healthcare monitoring and indoor positioning. Articles Trends: Recent publications address real-time localization optimization, fall detection via UWB signals, and camera pose estimation techniques. Themes include sensor integration, machine learning algorithms, and AR-human interaction systems. Advising & Grants: Currently accepting PhD students. Active in collaborative research projects involving multi-university teams in the U.K. and China. Labs/Teams: Engaged in cross-disciplinary projects combining IoT, robotics, and healthcare technologies through Northumbria's research networks.

Chunxu Liمشاهده پروفایل

مدرس ارشد

• Motion planning
• Human-robot interaction
• Cybernetics
• +۳ مورد دیگر

Dr. Chunxu Li is a Senior Lecturer in Mechanical Engineering at Swansea University's School of Aerospace, Civil, Electrical and Mechanical Engineering. He holds a PhD from Swansea University (2019) and has extensive experience in robotics, including expertise in ROS, C++, Python, and MATLAB. He has published over 40 academic papers, with 33 indexed in SCI/EI, and has been recognized with awards such as the Best Student Paper Award at IEEE conferences. His research focuses on motion planning, human-robot interaction, cybernetics, and soft robotics. Dr. Li's research interests include advanced control systems for robots, fault-tolerant manipulation, and the development of intuitive human-machine interfaces. His work integrates machine learning, neural networks, and sensor fusion to enhance robotic autonomy and precision. Notable projects include the Blue Hand soft robotic hand and studies on trajectory capture for KUKA iiwa robots. He has secured significant funding, including a £1.013 million grant for intergenerational technology co-creation. His teaching includes modules on electromechanical control and systems engineering. Awards include being an Associate Fellow of the Higher Education Academy and membership in IEEE. Dr. Li supervises PhD students in areas like neural network control for unmanned aerial vehicles and human-machine interaction systems. He collaborates on projects such as wearable rehabilitation robots and sensor fusion platforms for localization, demonstrating a strong commitment to interdisciplinary robotics research.

• Cyber-Physical Systems
• Smart Energy Systems
• Energy Conscious Networks
• +۳ مورد دیگر

Dr Ahmad Taha is a Lecturer in Autonomous Systems and Connectivity at the James Watt School of Engineering, University of Glasgow. He holds roles as an academic advisor to the Commonwealth Scholarship Commission and sits on the Glasgow Retrofit Advisory Board, focusing on energy efficiency in Scottish housing. His research centers on cyber-physical systems for energy management and digital healthcare, with a focus on smart energy systems, IoT-enabled healthcare, and AI-driven solutions. Education: Not explicitly stated in the text, but expertise spans UK, Egypt, and China institutions. Affiliations: Royal Academy of Engineering (Global Talent scheme), UK Young Academy, International Science Council (ISC) Global Roster of Experts. Research interests include smart energy systems, energy-conscious networks, and healthcare technologies. His work integrates AI and IoT for applications like contactless health monitoring, radar-based activity detection, and sustainable urban systems. Recent projects explore virtual power plants, 6G-enabled healthcare, and blockchain-based vehicular security. Notable achievements include contributions to £19M+ research grants and publications in Energy Reports , IEEE Sensors Journal , and Frontiers in Communications and Networks . Awards include FHEA and Royal Academy recognition. Grants and advising span energy policy, autonomous systems, and smart housing. Collaborations include NHS hospital energy studies and precision agriculture 6G use-cases. Labs/Teams: Involved in Glasgow’s Cyber-Physical Systems and Digital Twins initiatives, along with multi-institutional projects on net-zero carbon and 6G applications.

• Sensor Systems
• Embedded Systems
• Ultrasound Imaging
• +۷ مورد دیگر

Stefan Johann Rupitsch is a Professor at the University of Freiburg, leading the Professorship for Electrical Measurement Technology and Embedded Systems since December 2020. He holds a prominent role in academic and industrial research collaborations, focusing on interdisciplinary fields such as sensor systems, biomedical engineering, and embedded technologies. His work bridges theoretical research with practical applications, including drug delivery systems, environmental monitoring, and disaster response technologies. **Education**: Information not explicitly provided in the text. **Research Interests**: His primary research areas include wireless sensor networks, ultrasound imaging for biomedical applications, magnetic nanoparticle localization, and energy-efficient embedded systems. He has pioneered advancements in magnetomotive ultrasound for drug targeting and developed innovative sensor platforms for industrial and environmental monitoring. His projects often integrate machine learning and robotics to enhance system precision and autonomy. **Projects**: As a project manager or coordinator, he oversees initiatives such as wireless microsensor probes for tree canopy monitoring (B1), cochlear implant sensing (CIAS), and disaster-site radar systems (avaRES). Recent efforts focus on sustainable sensor technologies for wear part optimization (Smart Belt) and gas infrastructure resilience (LEAKALERT). **Grants & Advising**: Rupitsch has supervised numerous theses in fields like sensor design, AI for building acoustics, and earthquake monitoring. He actively participates in reviewing academic works and industry projects, reflecting his leadership in technical communities. **Labs & Teams**: His research is conducted through collaborations with the Microsystems for Biomedical Imaging Laboratory and the Sustainability Performance Center, emphasizing interdisciplinary teamwork and real-world impact.

JAVIER DÍEZ GONZÁLEZمشاهده پروفایل

استاد

• Robotics
• Wireless Sensor Networks
• Smart Manufacturing
• +۴ مورد دیگر

JAVIER DÍEZ GONZÁLEZ is a Professor at the Universidad de León , affiliated with the College of Industrial, Information and Aerospace Engineering and the Department of Mechanical, Computer and Aerospace Engineering . He leads research in intelligent systems for manufacturing ( SINFAB research group), focusing on cutting-edge applications of localization technologies, robotics, and optimization algorithms. Research Interests : Advanced localization systems for autonomous vehicles and robots Smart manufacturing and Industry 4.0/5.0 integration Optimization techniques for wireless sensor networks Metaverse applications in industrial and educational contexts Hybrid AI and fuzzy logic for aerospace engineering problems Scientific Contributions : His recent work (2025-2024) explores asynchronous localization architectures, collaborative robotics, mixed reality training, and metaverse-human interaction. He has pioneered UWB-based positioning solutions for UAVs and AMRs, with a strong focus on error characterization, sensor deployment, and robustness under failure conditions. Academic Background : Earned a PhD (2020) from Universidad de León with a thesis on time-based local positioning systems, supervised by Dr. Hilde Pérez García.

ALBERTO MARTÍNEZ GUTIÉRREZمشاهده پروفایل

استادیار

• Smart Manufacturing
• Industry 5.0
• Metaverse applications in industry
• +۵ مورد دیگر

ALBERTO MARTÍNEZ GUTIÉRREZ is an Assistant Professor at the Department of Mechanical, Computer and Aerospace Engineering, within the School of Industrial, Computer and Aerospace Engineering at the University of León. His research focuses on the intersection of smart manufacturing, metaverse technologies, and optimization algorithms for UAV positioning and wireless sensor networks. Department: Mechanical, Computer and Aerospace Engineering University: University of León Research Group: SINFAB (Intelligent Systems for Manufacturing) His research interests include Industry 5.0, digital twin technologies, collaborative robotics, and optimization techniques like Black Widow and Memetic algorithms. His work explores how these technologies can enhance manufacturing processes and operator training. His recent publications show a strong focus on positioning systems for UAVs and mobile robots, metaverse applications in industry, and optimization techniques for smart manufacturing. These works demonstrate his interdisciplinary approach combining mechanical engineering, computer science, and industrial technology. As a doctoral student, he was supervised by Dr. Hilde Pérez García and Dr. Javier Díez González for his thesis on Metaverse hyperconnected for operators training within industry 5.0.

Aleksandr Ometovمشاهده پروفایل

عضو هیئت علمی

• Internet of Things
• Wireless Communications
• 5G Networks
• +۳ مورد دیگر

Aleksandr Ometov is a Senior Research Fellow in the Department of Electrical Engineering, focusing on cutting-edge research in wireless communications, Internet of Things (IoT), and extended reality (XR) technologies. His work bridges hardware optimization, network protocols, and applied engineering solutions. Education: Doctor of Science (Technology) in Telecommunications Technology (2018) Master of Science (Technology) in Information Technology (2016) His research explores adaptive computing, terrestrial and non-terrestrial networks, and spurious signal analysis in wireless systems. Recent publications highlight innovations in maritime IoT, XR-assisted surgery, and UWB-Wi-Fi coexistence challenges. Scientific Awards: ECIU Research Mobility Fund (2024) Mobility grant from Finland to Japan, Taiwan or Russia (2022) Nokia Scholarship (2018) Publisher of the Year Award (2022) Recognition of excellent doctoral dissertation (2019) Ometov actively contributes datasets on IoT, localization, and sensor technologies, demonstrating his commitment to open research. His collaborations span global institutions, focusing on 5G/6G, wearable devices, and mission-critical systems.

• Wireless Communications
• Computer Networks
• Smart Sensors
• +۹ مورد دیگر

Spilios Giannoulis is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture , Department of Information Technology (EA05). He actively contributes to wireless networking research through collaborations with IMEC and leadership in projects like 6G-SHINE and CODYSUN. Current Position: IMEC Postdoctoral Researcher University: Ghent University (UGent) Department: Information Technology (EA05) His research focuses on wireless communications and network protocol development , particularly addressing: Spectrum Sharing in heterogeneous networks MAC Protocol Design for IoT and LPWAN Wireless Testbed Development (WiSHFUL, LoRa) Dynamic Resource Allocation in ad hoc systems Recent publications highlight advancements in: 6G short-range wireless architectures Energy-efficient OTA software updates Cross-technology synchronization mechanisms Distributed spectrum sharing paradigms Protocol portability across radio platforms He serves as PhD supervisor and copromotor in funded research initiatives like the 2024-2026 Better than Wired Reloaded project focused on industrial wireless control systems.

• Image Processing and Analysis
• Signal Processing
• Pattern Recognition
• +۷ مورد دیگر

Michel Ménard is a Teacher-Researcher at the University of La Rochelle, affiliated with the Mathematics and Computer Science departments. His research focuses on image and signal processing, particularly in cardiovascular imaging, dynamic texture analysis, and UWB radar applications for through-wall imaging. Key projects: ANR DIAMS, FISC consortium, A.Gaugue project Applications: Cardiovascular imaging, environmental monitoring, mobile application programming Research Interests Ménard's work centers on modeling information ambiguity, imprecision, and uncertainty in image analysis, pattern recognition, and information fusion. He has developed generalized fuzzy coalescence methods, non-parametric Bayesian approaches for trajectory analysis, and variational formulations for image filtering inspired by quantum physics. His team focuses on: Dynamic texture modeling via spatio-temporal decomposition Low-level image processing with information theory Through-wall imaging systems using UWB radar Information fusion techniques with minimal a priori assumptions Applications in coastal environment monitoring and biomedical imaging Publications Ménard's publications reflect his expertise in advanced image processing techniques applied to diverse domains. Notable contributions include: Theoretical works on total variation and sublinear functionals Algorithm developments for multistatic radar systems Applications in 3D bee tracking and cardiovascular flow analysis Extensions of Chambolle's algorithm to color images Decomposition methods for dynamic textures Integration of quantum physics concepts in image filtering Collaborations He collaborates with: Laboratoires: L3i, MIA, CLDG/BQR, IRPHE CNRS, ETIS, LASIE Institutions: University Hospitals of Poitiers and Angers, ONERA, LEAT, Tronico Researchers: Abdallah El-Hamidi, Alain Gaugue, Damien Coisne, Gilles Aubert Teaching Ménard teaches across eight departments/programs including: Electronics and Industrial Computing Automation Network Security and Cryptography Video Game Programming Smartphone Programming Digital Media Distribution He has developed new educational initiatives in mobile application programming since 2010.