جست‌وجوی استاد و پژوهشگر

Ketao Zhangمشاهده پروفایل

مدرس ارشد

• Robotics
• Aerial Robotics
• Soft Robotics
• +۱۱ مورد دیگر

Ketao Zhang is a Senior Lecturer in Robotics at the School of Engineering and Materials Science, Queen Mary University of London, and serves as the Industrial Engagement Lead of the Centre for Intelligent Transport. He is also affiliated with the Centre for Advanced Robotics, where he leads research in aerial robotics, soft robotics, and bio-inspired design. Senior Lecturer in Robotics, Queen Mary University of London Industrial Engagement Lead, Centre for Intelligent Transport Research Affiliation: Centre for Advanced Robotics Research Group: Robotic Systems Dr. Zhang's research focuses on advanced robotic systems, particularly in the domains of aerial robotics, soft robotics, kinematics, and reconfigurable mechanisms. His work integrates origami-inspired design, bio-inspired locomotion, and additive manufacturing to develop innovative robotic solutions. Key interests include screw theory, reconfigurable parallel manipulators, soft actuators and sensors, and morphable soft-bodied robots. His research themes are highly interdisciplinary, bridging mechanical engineering, materials science, and autonomous systems. The recent publications of Dr. Zhang span high-impact journals and conferences, with a clear trend toward aerial additive manufacturing, soft-actuated systems, and reconfigurable UAVs. His work often involves multi-robot coordination, bio-inspired design, and novel actuation mechanisms. Themes such as electroadhesion, variable stiffness, and 3D printing with drones are recurrent, indicating a strong focus on autonomy, adaptability, and real-world deployment. ERC SyG 2023: Multi-sensor Eversion Robot for Intelligent Endoscopic Microsurgery NERC: EMPreSS – Methane Monitoring with UAVs Innovate UK: Human-Augmented Robotics for Precision Viticulture Royal Society: Electroadhesion for Perching UAVs Royal Society: Bio-inspired Quadruped Locomotion EPSRC: Core Equipment for Robotics Research Dr. Zhang has secured substantial research funding from major UK and EU agencies, supporting interdisciplinary projects with applications in healthcare, environmental monitoring, and agriculture. He collaborates extensively with researchers such as Kaspar Althoefer, Lei Su, and Mohamed Thaha. While student advising details are not publicly listed, his active grants and publications suggest mentorship of PhD and postdoctoral researchers. His lab focuses on intelligent transport systems, aerial robotics, and soft robotic platforms, contributing to both fundamental mechanism design and applied autonomous systems.

• Photonics
• Quantum Information
• Nonlinear Optics
• +۳ مورد دیگر

Prof. Dr. Michael Kues is a Professor in the Institute of Photonics at Leibniz University Hannover's Faculty of Mathematics and Physics. He holds key roles in academic governance, including serving as a Representative for Professors on the Examination Board and Admissions Board. His research focuses on advanced photonics, quantum information, and nonlinear optics, with emphasis on quantum networks, photonic computing, and integrated optical systems. He is affiliated with the Leibniz School of Optics and Photonics, contributing to interdisciplinary research initiatives. Research Interests: Quantum Photonics and Quantum Networks Nonlinear Optics and Ultrafast Phenomena Optical Signal Processing and Machine Learning Integration Integrated Photonics and Additive Manufacturing Entanglement-Based Quantum Communication Publications: Prof. Kues' recent work explores scalable quantum technologies, including photonic computing architectures, entanglement-based quantum key distribution, and novel fabrication methods for optical waveguides. His research bridges theoretical and applied optics, with applications in secure communication and high-performance computing. Awards: No scientific awards explicitly mentioned in available data. Labs/Teams: Active within the Institute of Photonics, contributing to the Leibniz University's Photonics and Optics research clusters.

• Embedded Systems
• Machine Learning
• Internet of Things (IoT)
• +۳ مورد دیگر

Prof. Dr. Gregor Schiele is a Full Professor at the University of Duisburg-Essen , where he leads the Embedded Systems Department of Computer Science since 2014. His research focuses on self-organizing embedded systems in the Internet of Things (IoT), with emphasis on local embedded intelligence using deep learning and neural networks, as well as programming abstractions for adaptive systems . PhD in Computer Science (2007) from the University of Stuttgart Prior affiliations: Insight Centre for Data Analytics (Ireland), National University of Ireland, Galway, University of Mannheim Current research explores Embedded Machine Learning , FPGA-based AI Accelerators , and Energy-Efficient IoT Systems , with recent publications on quantization-aware training , configuration-aware power management , and medical signal processing . His 15 most recent articles highlight expertise in FPGA optimization , soft sensors , and adaptive architectures for time-series forecasting and fluid flow estimation . Key collaboration networks include the Elastic AI Ecosystem , ZaKI.D , and TransfAIr projects. He teaches courses like Programmieren in C , Internet of Things: Protocols and System Software , and Embedded Systems , while supervising research assistants and student teams in the IoT Garage initiative.

• Distributed Computing
• Database Systems
• Consensus Protocols
• +۵ مورد دیگر

Michael J. Whittaker is a researcher in computer science, with a 2021 PhD thesis on Compartmentalizing State Machine Replication from the University of California, Berkeley. His work focuses on distributed systems, consensus protocols, and coordination avoidance in database environments. Key Research Areas : Distributed Computing, Database Systems, Consensus Protocols, Coordination Avoidance Whittaker's research emphasizes scalable state machine replication, quorum systems, and fault-tolerant design. His recent publications explore compartmentalization techniques for improving system performance and reconfigurable consensus protocols like Matchmaker Paxos. Collaborative efforts include high-profile conferences such as VLDB, EuroSys, and SoCC. His 15 most recent articles (2021–2016) span topics from zero-coordination transactions to quorum design in distributed databases. Notable trends include modular protocol design (Bipartisan Paxos), systems scalability (Meerkat), and debugging techniques for distributed environments (Why-Across-Time Provenance).

• Vehicular Edge Computing
• Internet of Things Security
• Wireless Networks
• +۶ مورد دیگر

Liang Zhao is a prominent professor at Shenyang Aerospace University's School of Computer Science, with extensive research contributions in vehicular edge computing, IoT security, and wireless communications. Previously earning a PhD from Napier University's School of Computing in 2011, Zhao has established himself as a leading researcher in mobile computing through numerous high-impact publications in IEEE journals and conferences. Dr. Zhao's research focuses on cutting-edge challenges in vehicular networks, UAV communications, and edge computing systems. His work bridges theoretical advances in deep reinforcement learning with practical applications in transportation and IoT systems, particularly addressing task offloading optimization, resource allocation, and security challenges in mobile environments. Recent projects explore innovative solutions for LEO satellite constellations, RIS-assisted communications, and federated learning applications across distributed systems. Analysis of Zhao's recent publication trends reveals a strong emphasis on practical implementations of AI techniques for mobile computing challenges, with significant contributions to vehicular edge computing frameworks, secure IoT protocols, and energy-efficient UAV communications. His research consistently addresses real-world constraints like network limitations, harsh environments, and heterogeneous system requirements. Dr. Zhao maintains an exceptionally productive research trajectory with 246 publications spanning from 2009 to 2025, demonstrating sustained contributions to the field. His collaborative network is extensive, with particularly strong partnerships with Ammar Hawbani (113 co-authored papers), Na Lin (41 papers), and Xingfu Wang (40 papers), suggesting well-established research groups and international collaborations. While specific grant information isn't detailed in the publication record, the scale and scope of Zhao's research output across multiple institutions suggest significant research funding support for projects in mobile computing, vehicular networks, and edge computing systems.

• Healthcare Technology
• Music Therapy
• Human-Machine Interfaces
• +۳ مورد دیگر

Cédric Bornand is an Associate Professor at the Haute école d'Ingénierie et de Gestion du Canton de Vaud (HEIG-VD), affiliated with the Reconfigurable & Embedded Digital Systems Institute. His research focuses on healthcare technology, music therapy integration in psychiatric care, and human-machine interfaces. He specializes in developing low-power embedded systems for applications in healthcare and sensor-based measurement techniques. Research Interests: Design of music listening devices for psychiatric seclusion rooms to improve patient well-being and reduce isolation effects. Development of user-friendly interfaces for high-risk environments, prioritizing patient autonomy and caregiver safety. Interdisciplinary collaboration between engineering, psychology, and nursing for innovation in mental health care. Key Projects: A decade-long action research project on musical listening devices in psychiatric hospitals, involving nurses, psychologists, and engineers. Exploration of artificial intelligence applications to personalize music playlists for patients based on emotional responses. Design of secure yet accessible interfaces for patients in seclusion, balancing therapeutic goals with safety. Awards: No scientific awards explicitly mentioned. Grants & Advising: No specific grants listed. Collaborations include institutions like HESAV (Health School Vaud) and CHUV (University Hospital of Vaud). Labs/Teams: Active in the ReDS Institute, focusing on embedded systems and healthcare technology innovations.

• Storage Systems
• Persistent Memory Technologies
• Machine Learning
• +۴ مورد دیگر

Oana Balmau is an Assistant Professor in the School of Computer Science at McGill University, leading the Data-Intensive Storage and Computer Systems Laboratory (DISCS Lab). She also holds a status-only appointment at the University of Toronto and chairs the MLPerf Storage working group. Her research focuses on storage systems, persistent memory, machine learning workloads, and edge computing. Balmau earned her PhD in Computer Science from the University of Sydney (2020) under Prof. Willy Zwaenepoel, with earlier degrees from EPFL. She has received notable awards including the SEC 2024 Best Paper Award, MLCommons Hero Award (2023), and the CORE John Makepeace Bennett Award (2021). Education: PhD in Computer Science, University of Sydney (2020) MSc in Computer Science, EPFL BSc in Computer Science, EPFL Research Interests: Her work spans storage infrastructure optimizations for ML and edge computing, including the MLPerf Storage benchmark and frameworks for secure hierarchical edge computing. Key contributions include systems like KeVell , SILK , and FloDB , addressing latency spikes, write amplification, and I/O efficiency in key-value stores. Recent projects explore processing-in-memory virtualization and live reconfiguration for edge stream processing. Awards & Honors: SEC 2024 Best Paper Award MLCommons Hero Award 2023 ACM SIGOPS Dennis M. Ritchie Doctoral Dissertation Award (Honorable Mention, 2021) CORE John Makepeace Bennett Award (2021) USENIX ATC 2019 Best Paper Award Teaching & Service: Teaches advanced courses on computer systems (COMP-513, COMP-604) and OS fundamentals at McGill. Serves on program committees for SOSP, SIGMOD, FAST, and EuroSys. Co-organizes workshops like Dagstuhl’s Resource-efficient ML and DSDS. Active in academic service, including the EuroSys Roger Needham Award committee. Labs & Collaborations: DISCS Lab focuses on scalable storage solutions for data-intensive workloads. Collaborates with institutions like UBC, ETS Montréal, and University of Toronto on edge computing initiatives through the DND IDEaS micro-net. Open-source contributions include the SILK and TRIAD systems.

Meng Huaمشاهده پروفایل

عضو هیئت علمی

• Integrated Sensing and Communication (ISAC)
• Reconfigurable Intelligent Surfaces (RIS)
• Wireless Communication Systems
• +۳ مورد دیگر

Meng Hua is a Research Associate at the Department of Electrical and Electronic Engineering, Imperial College London (since 2024), focusing on integrated sensing and communication (ISAC), reconfigurable intelligent surfaces (RIS), and wireless communication systems. He holds an M.S. from Nanjing University of Science and Technology (2016) and a Ph.D. from Southeast University (2021). His postdoctoral research included the University of Macau (2021–2023) and City University of Hong Kong (2023–2024). Education: M.S. in Electrical and Information Engineering (Nanjing University of Science and Technology, 2016); Ph.D. in Information Science (Southeast University, 2021) Postdoctoral Experience: University of Macau (2021–2023), CityU Hong Kong (2023–2024) His research emphasizes ISAC, RIS-enabled systems, and 5G/6G technologies. He explores applications such as terahertz communication, satellite systems, and energy-efficient designs. Recent work highlights RIS optimization for multi-path exploitation, IRS-aided symbiotic radio systems, and over-the-air computation frameworks. Key themes in his publications include IRS array design, multi-cell communication optimization, and full-duplex MIMO systems. His contributions address challenges in channel uncertainty, hardware constraints, and cross-layer integration. His lab affiliations include the Information Processing and Communications Lab at Imperial College London, where he collaborates on cutting-edge wireless communication solutions.

• Software Defined Networking
• Programmable Data Planes
• Machine Learning
• +۳ مورد دیگر

Cristian Bermudez Serna is a researcher at the Chair of Communication Networks (Prof. Kellerer) at the Technical University of Munich (TUM). He holds an M.Sc. in Electrical Engineering from TUM and a Bachelor's in Telecommunications Engineering from Universidad de Antioquia, Colombia. His research focuses on mechanisms for efficient network reconfigurations in mobility scenarios, with emphasis on Software Defined Networking (SDN), programmable data planes, and machine learning applications in networking. Education: Bachelor's in Telecommunications Engineering, Universidad de Antioquia (2016) M.Sc. in Electrical Engineering, Technical University of Munich (2021) Research Interests: Optical access networks planning and robustness Future railway communication systems Survivable multi-domain network routing Post-quantum cryptography in optical networks Publications span topics like infrastructure cost savings in rural PONs, survivable routing mechanisms, and SDN control plane optimization. His work integrates algorithmic approaches with real-world network challenges in telecommunications and transportation systems.

Metafas Dimitriosمشاهده پروفایل

مدرس

• Real-Time Software development
• System-On-a-Chip design
• DSP architectures
• +۴ مورد دیگر

Metafas Dimitrios is a Lecturer in the Department of Electrical and Electronic Engineering at the University of West Attica, School of Engineering. His office is located in Building Z, Room ZB201. He holds a Doctoral Degree from the University of Patras (1993) and an Electrical Engineering Diploma (1987). His research focuses on Real-Time Software, System-On-a-Chip design, DSP architectures, and applications of AI/Machine Learning in games and education. Teaches courses such as Introduction to Programming, Algorithms and Data Structures, and UML-based system design methodologies. Active in interdisciplinary research, including educational technology and embedded systems. Recent work emphasizes AI-driven educational tools and reinforcement learning applications in gaming. Earlier contributions span wireless communication systems, VLSI design, and hardware-software co-development.

• Wireless Communications
• Machine Learning
• Network Security
• +۶ مورد دیگر

Demosthenes Vouyioukas is an Associate Professor at the Department of Digital Systems, University of Piraeus. Previously, he served as a Professor at the University of the Aegean (2011–2024), Head of the Department of Information and Communication Systems Engineering (2019–2022), and Director of the MSc program 'IoT: Intelligent Environments in Next-Generation Networks' (2018–2022). He holds a Ph.D. in Electrical and Computer Engineering from NTUA and has extensive experience in R&D projects across Europe and Greece. Education: Ph.D., Electrical and Computer Engineering, National Technical University of Athens (2003) M.Sc. in Engineering-Economics, NTUA (2004) Diploma in Electrical and Computer Engineering, NTUA (1996) His research focuses on mobile and wireless communications, machine learning for network optimization, UAV/aerial systems, IoT, 5G/6G technologies, and network security . He has authored over 140 publications and serves as an Associate Editor for journals like Telecommunication Systems and Frontiers in Space Technologies . His work emphasizes secure UAV deployments, hybrid satellite-terrestrial networks, and AI-driven path loss prediction . Recent studies explore energy-efficient solutions and spectrum monitoring for next-generation systems. Awards & Memberships: Senior Member, IEEE Member, ACM and IFIP Member, Technical Chamber of Greece He has advised numerous projects, including the General Chair of the International Summer School on 5G Networks. His lab focuses on integrating emerging technologies for smart communication systems.

Amor Nafkhaمشاهده پروفایل

پژوهشگر

• Physical layer security
• Hardware Security
• Reconfigurable Computing
• +۴ مورد دیگر

Amor Nafkha is a Researcher at the Rennes Institute of Electronics and Telecommunications (IETR), specializing in Physical layer security, Hardware Security, and Reconfigurable Computing. His work focuses on advancing Cognitive Radio, Software Defined Radio (SDR), and 5G/6G technologies. He has contributed to pioneering research in spectrum sensing, hardware vulnerability analysis, and reconfigurable systems. His research interests include developing robust security mechanisms against side-channel attacks, optimizing SDR architectures for energy efficiency, and applying machine learning techniques to device activity detection in massive MTC networks. Key projects include the ANR-POSEIDON initiative and the WONG5 document on 5G integration for machine-type communication. Notable contributions include multi-screaming-channel attacks leveraging frequency diversity and hybrid spectrum sensing frameworks validated on USRP platforms. His work bridges theoretical signal processing with practical hardware implementations, emphasizing real-world deployment challenges.

Christos Strydisمشاهده پروفایل

دانشیار

• High-Performance Computing (HPC)
• Hardware Acceleration
• Reconfigurable Computing
• +۶ مورد دیگر

Dr. Ir. Christos Strydis is an Associate Professor jointly affiliated with the Erasmus Medical Center (Neuroscience department) and Delft University of Technology (Quantum & Computer Engineering department). He is also the founder and head of the Neurocomputing Laboratory and a senior member of the IEEE . His roles span academic research, engineering leadership at Neurasmus BV , and teaching at both institutions. BSc, MSc, and PhD in Computer Engineering from the Technical University of Crete and Delft University of Technology 2011–present: Post-Doctoral Researcher, Chief Engineer, and faculty member at Erasmus Medical Center 2016–present: Assistant and Associate Professor at Erasmus Medical Center Dr. Strydis’s research lies at the intersection of neuroscience and computer engineering , focusing on high-performance computing (HPC) , low-power embedded systems , and functional ultrasound (fUS) imaging . His work bridges hardware acceleration, reconfigurable computing, and brain simulations to advance neural implants and neuroimaging technologies. His recent publications highlight innovations in exascale FPGA architectures for brain simulations, AI chip performance analysis , real-time spike detection algorithms , and secure health data integration via cloud HPC. Themes span from hardware security to cerebellar signal processing, emphasizing scalability and energy efficiency. At Erasmus and Delft, he supervises PhD, MSc, and BSc students , teaches bachelor- and master-level courses , and leads grants funded by the ICT Delft Research Centre , Google Inc. , and national/EU projects. His lab, the Neurocomputing Laboratory , focuses on translating computational neuroscience into clinical applications.

Maurice ter Beekمشاهده پروفایل

پژوهشگر

• Formal Methods
• Software Engineering
• Railway Systems
• +۵ مورد دیگر

Maurice ter Beek is a Senior Researcher at the Formal Methods and Tools (FMT) Group of the Institute of Information Science and Technologies (ISTI) , part of the Italian National Research Council (CNR) in Pisa, Italy. He leads the FMT Lab since 2019 and coordinates critical projects like ADVENTURE (railway systems evaluation) and T-LADIES (typeful language adaptation). He serves as Editor-in-Chief of Formal Aspects of Computing and holds editorial roles in journals like Science of Computer Programming . His career spans academic leadership in international conferences (chair of ETAPS 2026 , RSSRail 2025 , etc.) and extensive collaborations in formal methods, railway systems, and software product lines. Research Interests: His work focuses on formal methods applied to industrial critical systems, particularly railways, with expertise in variability modeling, attack-defense trees, contract automata, and team automata. Publications address quantitative analysis of reconfigurable systems model checking for railway safety empirical studies on formal methods security risk modeling collaborative software engineering Scientific Awards: ERCIM Fellowship (2003, 2002) SegraVis Fellowship (2005) Best Paper at SPLC 2019 Best Paper at ICIW 2007 Socrates Grant (EU, 2000-2001) Additional Roles: He is a faculty member of the joint PhD program in Smart Computing (Florence, Pisa, Siena), member of ISTI’s Institute Council, and coordinates CNR’s involvement in the PNRR National Sustainable Mobility Centre . His global engagement includes over 50 conference organizing roles and editorial board memberships.

• Robotics and Autonomous Systems
• Control Theory and Applications
• Wireless Sensor Networks
• +۵ مورد دیگر

Professor Andrei Savkine is a distinguished academic at the University of New South Wales, serving as Professor and Head of Systems & Control within the School of Electrical Engineering and Telecommunications. With a PhD and MS from Leningrad State University, he has established himself as a leading researcher in robotics, control systems, and wireless networks. University: University of New South Wales School: School of Electrical Engineering and Telecommunications Department: Systems & Control Position: Professor and Head of Systems & Control Email: a.savkin@unsw.edu.au Professor Savkine's research spans robotics, control theory, and wireless communications with particular emphasis on UAV navigation, autonomous systems, and power grid applications. His work bridges theoretical control systems with practical implementations in surveillance, disaster response, and energy management. Recent publications demonstrate cutting-edge research in Reconfigurable Intelligent Surfaces (RIS), multi-robot coordination, and secure communications. Analysis of his publication record from 2023-2025 reveals a strong focus on UAV applications across diverse terrains and scenarios, with increasing integration of machine learning techniques. His work shows consistent innovation in trajectory optimization, sensor networks, and communications infrastructure, with particular attention to real-world constraints like uneven terrain and security concerns. Professor Savkine has authored numerous influential books including 'Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery' (2022) and 'Wireless Communication Networks Supported by Autonomous UAVs and Mobile Ground Robots' (2022), establishing foundational frameworks for modern drone applications. His research program demonstrates significant interdisciplinary collaboration, particularly with researchers in power systems and computer science, addressing critical challenges in infrastructure resilience, emergency response, and next-generation wireless networks.