جست‌وجوی استاد و پژوهشگر

• Geodesy
• GPS Technology
• Atmospheric Science
• +۳ مورد دیگر

Anna Jensen is a Professor of Geodesy at KTH Royal Institute of Technology, specializing in atmospheric effects on Global Navigation Satellite Systems (GNSS). Her research focuses on modeling ionospheric and tropospheric influences on GPS signals, particularly how weather parameters and electric currents impact signal transmission. Applications of her work include precision surveying, aviation navigation, and construction site monitoring. She has contributed to projects such as the Fehmarnbelt Fixed Link positioning system and Arctic navigation challenges. Her research interests span geodesy, satellite navigation, and remote sensing, with a strong emphasis on improving GNSS accuracy in challenging environments like urban areas and polar regions. Jensen’s studies address issues like ionospheric scintillation, RFI geolocation with smartphones, and robust positioning in jamming conditions. Jensen has published extensively on topics including network RTK data screening, GNSS network optimization, and ionospheric modeling. Her work often integrates statistical methods and geostatistical techniques to enhance positioning reliability. No scientific awards or grants are explicitly mentioned in the provided texts. She has advised no formal students, though her involvement in the Fehmarnbelt project and other large-scale infrastructure initiatives highlights her role in applied geodetic engineering. No specific labs or teams are detailed, but her collaborations likely involve KTH’s geomatics and geophysics groups.

Michel KIEFFERمشاهده پروفایل

استاد

• Signal Processing
• Communication Systems
• Networking
• +۵ مورد دیگر

Michel KIEFFER is a Professor in Signal Processing for Communications at Paris-Sud University and a researcher at the Laboratoire des Signaux et Systèmes (L2S), Gif-sur-Yvette, France. He holds a Ph.D. (1999) and Habilitation (2005) from Université Paris-Sud. Previously, he served on part-time leave at Laboratoire de Traitement et Communication de l’Information (CNRS-Télécom ParisTech, 2009–2016) and was a junior member of the Institut Universitaire de France (2011–2016). His research focuses on joint source-channel coding, signal processing for communication networks, and robust control systems. Key contributions include works on multimedia transmission reliability, UAV localization, and fault identification in power grids. He co-authored over 100 publications and books like Applied Interval Analysis (Springer, 2001) and Joint Source-Channel Decoding (Academic Press, 2009). He serves as Associate Editor for Signal Processing (since 2008) and IEEE Transactions on Communications (2012–2016). His work spans interdisciplinary areas such as energy systems, robotics, and telecommunications, addressing challenges in real-time data transmission, network slicing, and distributed control.

Lynda ZITOUNEمشاهده پروفایل

دانشیار

• Systems and Control
• Telecommunications and Networks
• Signal Processing
• +۵ مورد دیگر

Lynda ZITOUNE is an Associate Professor at the Laboratory of Signals and Systems (L2S) within CentraleSupélec, located in Gif-sur-Yvette, France. Her research focuses on systems and control, telecommunications, and signal processing, with applications in energy-efficient networks, Industry 4.0, and health-related technologies. She is affiliated with the COMEDY, MODESTY, and Modelling and Estimation teams, contributing to projects like SYCOMORE. Her work emphasizes innovative solutions for network optimization, including load balancing in WiFi networks, congestion control in IoT systems, and energy efficiency in cellular and mesh architectures. She employs advanced techniques such as deep reinforcement learning, fluid modeling, and hybrid algorithms (e.g., Q-learning with ant systems) to address complex networking challenges. ZITOUNE’s recent publications (2021–2025) highlight contributions to intelligent association protocols, distributed control in large-scale systems, and AI-driven approaches to network management. Her research bridges theoretical modeling with practical applications, aiming to enhance network scalability, reliability, and sustainability. She collaborates actively with international teams and participates in key conferences like ICC, MASCOTS, and GLOBECOM. Her research interests span telecommunications, signal processing, and control systems, with a focus on interdisciplinary applications in energy and healthcare. She leads initiatives in fluid-based modeling for cellular networks and develops protocols for delay-tolerant wireless sensor networks using aerial mobile sinks.

• Machine Learning
• Signal Processing
• Computer Vision
• +۴ مورد دیگر

Yuan Liao is an active researcher with a focus on interdisciplinary areas spanning computer science, electrical engineering, and applied mathematics. His work emphasizes innovative solutions in signal processing, machine learning, robotics, and human mobility studies. Notably, he has contributed to advancements in wearable biomedical devices, remote sensing image analysis, and next-generation wireless communication systems like 6G. Collaborations with institutions like Academia Sinica and co-authors such as Vasilis Friderikos highlight his global academic network. Liao's research often bridges theoretical frameworks with practical applications, addressing challenges in healthcare, transportation, and urban planning. Key contributions include developing novel neural network architectures for tasks like image inpainting and emotion recognition from EEG signals. His work on robotic aerial base stations for mmWave backhauling demonstrates expertise in cutting-edge wireless systems. While specific institutional affiliations are not explicitly stated in the provided data, his prolific publication record across top-tier journals and conferences indicates an established academic role, likely as a researcher or faculty member in a technical discipline.

• Wireless Communication
• Machine Learning
• Signal Processing
• +۳ مورد دیگر

Yoan Shin is a researcher active in wireless communication, machine learning, and remote sensing. His work spans indoor localization, SAR ship detection, UAV object detection, and IoT resource allocation. Key research areas: Wireless Sensor Networks, Deep Learning, SAR Imagery, UAV Systems, IoT Recent publications focus on hybrid Wi-Fi/PDR indoor tracking (2023), enhanced RT-DETR architectures for UAV imagery (2024), and SAR ship detection optimization (2024). Trends show expertise in sensor fusion, attention mechanisms, and domain-specific neural networks. Collaborates extensively with researchers like Chushi Yu, Thu L. N. Nguyen, and Oh-Soon Shin. No explicit awards or teaching roles listed.

• Wireless Communication
• Internet of Things (IoT)
• Network Protocols
• +۴ مورد دیگر

Jong-Deok Kim is an active researcher in wireless communication and IoT systems, with frequent collaborations on publications spanning dynamic channel bonding, network optimization, and low-power protocols. His work addresses challenges in Wi-Fi, LoRa, and millimeter-wave networks, focusing on throughput, latency, and reliability. Research Focus: Wireless networks, edge computing, and blockchain for IoT. Key Topics: Channel allocation, federated learning, and error compensation methods. His recent publications highlight trends in adaptive algorithms for dense networks, hybrid positioning systems, and federated learning applications. Awards and grants are not explicitly mentioned in the provided data.

• Cloud Computing
• Blockchain Technology
• Data Security
• +۵ مورد دیگر

Xiaojun Zhang is a Professor actively contributing to cloud computing, blockchain technology, data security, and educational technology. His work spans cybersecurity, signal processing, and wireless systems. Key Research Areas: Privacy-preserving data aggregation, machine learning for biomedical imaging, blockchain-based integrity auditing, and educational metacognition studies. Recent Article Trends (2022–2025): Focus on secure federated learning, data denoising algorithms, and blockchain applications in smart grids, healthcare, and education. Collaborations include institutions in China and international researchers.

• Machine Learning
• Neural Networks
• Computer Vision
• +۴ مورد دیگر

Xiao Wu is a researcher affiliated with multiple academic institutions, including Southwest Jiaotong University (School of Information Science and Technology), University of Michigan (Department of Electrical Engineering and Computer Science), and Chinese Academy of Sciences (Institute of Computing Technology). His work spans diverse areas such as machine learning, computer vision, remote sensing, and medical image analysis. Research interests include transformer architectures , deep learning for time series and image processing , multi-agent control systems , and industrial optimization . Recent publications focus on novel neural network designs for applications in drilling process optimization, brain-computer interfaces, and multispectral/hyperspectral image fusion. His work integrates advanced algorithms like tensor decomposition , multiscale temporal convolution , and adaptive recalibration modules to address challenges in engineering and biomedical domains. Collaborations involve institutions like Harvard University, Jiangnan University, and Hong Kong Polytechnic University.

Il-Min Kimمشاهده پروفایل

استاد

• Wireless Artificial Intelligence
• Machine Learning
• Deep Learning
• +۹ مورد دیگر

Professor Il-Min Kim is a Full Professor in the Department of Electrical and Computer Engineering at Queen's University (Smith Engineering). He leads the Wireless Artificial Intelligence Laboratory (WAI Lab), focusing on AI-driven wireless systems, IoT/IoE/IIoT, federated learning, edge computing, and 6G/V2X communications. His work integrates machine learning, signal processing, and cybersecurity with wireless infrastructure. Education: B.S. (Yonsei University, 1996), M.S./Ph.D. (KAIST, 2001). Postdoctoral research at MIT (2001-2002) and Harvard (2002-2003) preceded his faculty role at Queen's since 2003. Promoted to Associate Professor (2009) and Full Professor (2014). Research emphasizes Wireless AI , including on-device AI, federated learning, geoscience AI (Geo-AI), and secure communication protocols. Key areas: AI for 6G/V2X, energy-efficient edge computing, and robust spectrum sensing. His lab develops frameworks for distributed systems, compressive sensing, and nonlinear energy harvesting. Notable contributions include hybrid replay mechanisms for incremental learning, diffusion models for industrial IoT, and deep learning-based channel estimation. His work addresses challenges in data security, model robustness, and real-time inference under resource constraints.

Øystein Haugenمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Modeling Languages
• Software Engineering
• +۷ مورد دیگر

Øystein Haugen is a Professor at the Department of Computer Science and Communication at Høgskolen i Østfold (HiØF), Norway. He specializes in Cyber-Physical Systems (CPS), Modeling Languages (e.g., UML/SysML), and Software Engineering. His work focuses on standardization efforts for modeling languages (ITU/OMG), variability modeling, and real-time systems. Haugen has led EU projects like Productive4.0 and Arrowhead Tools, emphasizing Industrial IoT and digital twin technologies. He co-chaired MODELS 2010 and currently contributes to SysML v2 development. Collaborations include SINTEF Digital, University of Oslo, and Luleå Technical University. Research Interests : Cyber-Physical Systems & IoT Model-Driven Engineering Software Product Line Engineering Formal Methods in Systems Design Standardization of Modeling Languages (SDL/MSC/UML/SysML) Industrial Applications of CPS (Manufacturing, Automation) Recent Article Trends : His 2020-2024 work emphasizes CPS applications, digital twin evolution, industrial IoT interoperability, and imitation learning in manufacturing automation. Key areas include model-based debugging, energy-efficient IoT networks, and autonomic service orchestration in industrial systems. Grants/Projects : Led EU ECSEL projects Productive4.0 (smart manufacturing) and Arrowhead Tools (IoT middleware). Active in standardization through OMG committees and ITU. Recent contributions include WP leadership in EU Horizon projects focusing on industrial digitalization. Labs/Teams : Leads the CPS Research Group at HiØF. Involved in the Arrowhead Tools consortium and Productive4.0 industrial partnerships (Jotne, Prediktor, Unger Fabrikker).

Pin-Han Hoمشاهده پروفایل

استاد

• Wireless Communications
• Quantum Communications
• Unmanned Aerial Vehicles (UAV)
• +۴ مورد دیگر

Pin-Han Ho is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering (ECE), part of the Faculty of Engineering. His research focuses on advanced wireless communication systems, including Near-Field Communications (NFC), Reconfigurable Intelligent Surfaces (RIS), and Quantum Key Distribution (QKD). He explores applications in UAV-enabled networks, IoT security, and energy-efficient trajectory planning for autonomous systems. His work integrates machine learning techniques such as Deep Reinforcement Learning (DRL) and Graph Neural Networks (GNN) to address challenges in signal processing, resource allocation, and network optimization. Key contributions include beamforming design for dynamic environments, secure resource management in optical networks, and hybrid communication systems combining near-field and far-field capabilities. Dr. Ho's publications span over 50 peer-reviewed articles, emphasizing interdisciplinary approaches to modern communication challenges. Notable areas include UAV trajectory optimization, quantum CNN-based detection systems, and connectivity-preserving routing algorithms. His research has been featured in special issues on NFCs, quantum networks, and IoT security. Despite extensive contributions, no academic awards or grants are explicitly listed in the provided information. His advising role and lab affiliations remain unspecified in the text.

Tuna Tuğcuمشاهده پروفایل

استاد

• NanoNetworking
• Molecular Communications
• 5G Networks
• +۳ مورد دیگر

Tuna Tuğcu is a Professor in the Department of Computer Engineering at Bogazici University, where he leads research in nanonetworking and wireless communications. He holds affiliations with the Computer Networks Research Lab (NetLab), Nanonetworking Research Group (NRG), and Telecommunications and Informatics Technologies Research Center (TETAM). He earned his PhD in Computer Engineering from Bogazici University in 2001 and completed postdoctoral research at Georgia Institute of Technology. His research focuses on NanoNetworking/Molecular Communications , 5G Networks , Cognitive Radio , and Wireless Systems . Key areas include diffusion-based signal propagation, modulation techniques for molecular channels, and optimization of nanoscale communication protocols. His recent publications emphasize practical applications in transmitter localization, error minimization, and throughput enhancement for emerging technologies. Awards include: Best Paper Award at ISCC'12 (2012) Best Paper Award at AICT (2010) National Utility Model for disaster coordination systems (TR 2013 11786 Y) He serves as Senior Projects Coordinator and chairs the Information Technologies Committee. He also contributes to ÖBİKAS and TETAM governance. No specific grants or student advisees are detailed in the source text.

Ove Edforsمشاهده پروفایل

استاد

• Radio Systems
• Statistical Signal Processing
• Massive MIMO
• +۵ مورد دیگر

Ove Edfors is a Professor at the Department of Electrical and Information Technology, Lund University, affiliated with the Faculty of Engineering (LTH). His primary research focuses on radio systems, statistical signal processing, and massive MIMO technologies. He is a core member of the LTH Profile Area: AI and Digitalization and the LU Profile Area: Natural and Artificial Cognition. Edfors leads the NEXTG2COM Vinnova Competence Centre and contributes to ELLIIT initiatives. His research spans multi-carrier systems, low-complexity algorithms, and wireless communication applications. Key projects include 6G radio testbed development and millimeter-wave channel characterization. He has co-authored over 225 publications and supervised 22 graduate students. Notable achievements include the IEEE Signal Processing Society Donald G. Fink Award (2023) and the IEEE Communications Society Best Tutorial Paper Award (2018). Recent work emphasizes indoor localization via multi-sensor fusion (LuViRA Dataset) and energy-efficient MIMO processors. Active collaborations involve global institutions and industry partners in 5G/6G infrastructure. Edfors' contributions align with UN SDGs for affordable and clean energy (Goal 7) through energy-efficient wireless systems and innovation (Goal 9).

Jyri Hämäläinenمشاهده پروفایل

استاد

• Wireless Communications
• Mobile Communication
• Radio Resource Management
• +۷ مورد دیگر

Jyri Hämäläinen is a Professor and Vice President of Research Services at Aalto University, affiliated with the Department of Information and Communications Engineering within the School of Electrical Engineering. His research focuses on wireless and mobile systems, including 4G/5G/6G networks, small cell systems, network relaying, and the Internet of Things (IoT). He holds doctoral degrees in Engineering and Technology (Helsinki University of Technology, 2007) and Natural Sciences (University of Oulu, 1998), alongside a licentiate and master's in Natural Sciences from the same institution. His work addresses both theoretical and applied aspects of telecommunications, emphasizing analytical rigor and practical impact. Notable contributions span dynamic heterogeneous networks, resource management, and energy-efficient communication strategies. He has received the 2009 Good Teacher Award from Aalto University. Key Research Areas: Wireless Communications, Mobile Networks, 6G Architecture, IoT, Network Relaying, and Data-Driven Communication Grants & Projects: Principal Investigator in multiple flagship initiatives including FinnCERES, FCAI, and PREIN, with ongoing projects extending to 2030. Collaborations: Active in international partnerships, hosting visiting scholars and collaborating with institutions like the Technical University of Denmark and Parsons New School of Design. Labs/Teams: Leads research groups focused on 6G innovation and network optimization within Aalto's research ecosystem. Recent publications emphasize 6G QoS optimization, energy harvesting, and IoT system analysis, reflecting his dual focus on foundational research and real-world applications.

• Wireless Communication
• Machine Learning
• Digital Signal Processing
• +۶ مورد دیگر

Prof. Christoph Studer is a Full Professor of Integrated Information Processing at ETH Zurich's Department of Information Technology and Electrical Engineering. He leads the Integrated Systems Laboratory and directs SwissChips. His research focuses on wireless communication, machine learning, signal processing, and hardware-efficient algorithms, with applications in B5G systems, sensing-communication integration, and low-power signal processing. He holds a Ph.D. and M.S. from ETH Zurich (2009 and 2006) and has held academic positions at Cornell University before returning to ETH in 2020. Notable honors include the NSF CAREER Award (2017), ETH Medal for Doctoral Dissertation (2011), and multiple teaching awards. Education: M.S. and Ph.D. in Information Technology and Electrical Engineering, ETH Zurich (2006, 2009) Visiting Researcher, Stanford University (2005) Research Interests: Develops algorithms and hardware for high-throughput, low-power wireless systems. Key areas include: B5G multi-antenna systems and simultaneous sensing-communication (SISCO) Analog-to-feature (A2F) conversion for low-power signal classification Hardware-software co-design for efficient microchip integration Publications: Focus on channel charting, jammer mitigation, and deep learning for communication. Recent work includes CSI2Vec, jammer-resilient synchronization, and distributed MIMO systems. Awards: US NSF CAREER Award (2017) Michael Tien Teaching Award (2016) ETH Medal for Doctoral Thesis (2011) Labs/Teams: Leads the Integrated Systems Laboratory at ETH and directs SwissChips, a national initiative for integrated circuit development.