جستجوی استاد راهنمای دانشگاهی

• Computer Science
• Signal Processing
• Data Networking
• +۳ مورد دیگر

Majed Alhaisoni is a **Researcher** with significant contributions to computer science and engineering domains, particularly in medical imaging, signal processing, and peer-to-peer (P2P) networking. His work spans topics like smart healthcare systems , IoT-based communication frameworks , and biometric gait recognition . He has collaborated extensively with scholars including Muhammad Attique Khan, Antonio Liotta, and Usman Tariq, publishing in venues such as IEEE Access , Sensors , and Future Gener. Comput. Syst. . Research Interests include applying deep learning and optimization algorithms to solve challenges in medical diagnostics , IoT networks , and biometric security . His work on gait pattern recognition and medical image segmentation demonstrates interdisciplinary expertise. Publication Trends reveal a focus on computer vision , signal processing , and health informatics , with recent advancements in IoT device design , data protection , and multi-stream feature fusion .

Zhenhui Yuanمشاهده پروفایل

استادیار

• Machine Learning
• Networking
• IoT
• +۸ مورد دیگر

Zhenhui Yuan is an Assistant Professor at the University of Warwick, School of Engineering, leading the Connected Robotics Lab. He holds a BEng in Software Engineering from Wuhan University (2008) and a PhD in Electronic Engineering from Dublin City University (2012). His research focuses on machine learning in networking, IoT, and robotics, with expertise in UAV communications, edge AI, and vehicular networks. Prior roles include Senior Lecturer at Northumbria University (2020–2023), Associate Professor at Hangzhou Dianzi University (2015–2019), and co-founder/CTO of RobSense Technology (2015–2019). He has received Best Paper Awards at IEEE ICCRE 2016 and IEEE BMSB 2014. His research interests span machine learning applications in networking, robotics, and IoT, with emphasis on UAV swarm systems, edge computing, and quality-of-service optimization. He serves as a Guest Editor for IEEE journals and chairs workshops on 6G-empowered robotic vehicles. He leads projects funded by the University of Warwick (£9k), British Academy (£9k), and Horizon Europe (£92k), among others. His work includes developing the Connected Robotics Lab’s testbeds for 5G emulation and drone swarm control. Key achievements include pioneering AirSlice (UAV network slicing), founding the SwarmLink radio, and advancing video quality metrics for 3D streaming. He actively supervises PhD candidates and collaborates on grants addressing holographic telesurgery, multimodal transport networks, and EV optimization. His labs focus on hardware-in-the-loop emulation and edge AI for robotic systems.

Abdallah S. Abdallahمشاهده پروفایل

دانشیار

• Wireless Networks
• IoT
• Video Streaming
• +۹ مورد دیگر

Abdallah S. Abdallah is an Associate Professor of Computer and Electrical Engineering at Western Carolina University (WCU), effective January 2025. Previously (2017-2024), he held roles as Assistant and tenured Associate Professor at Penn State Erie – The Behrend College, where he founded the IoT@Behrend Research Lab. His expertise bridges academia and industry, with prior experience at Intel Corporation as an embedded systems engineer and freelance work in embedded systems development. Education: Ph.D. & M.Sc. in Computer Engineering (Virginia Tech, 2016/2007); B.Sc. from a foreign institution Research focuses on wireless networks, IoT, video streaming optimization, radar sensing for automotive systems, and machine learning applications. He is a Senior Member of IEEE and teaches courses in programming, data structures, digital systems design, and applied AI. Certified as a NVIDIA Deep Learning Institute instructor. Industry collaborations include Intel and Broadcom, where he worked on wireless standards and LTE device testing. His work emphasizes translating research into product development and technological innovation.

Maria Teresa Andradeمشاهده پروفایل

استادیار

• Multimedia Systems
• Machine Learning
• Computer Vision
• +۶ مورد دیگر

Maria Teresa Andrade is an Assistant Professor at the Faculty of Engineering (FEUP) of the University of Porto, affiliated with the Department of Electrical and Computer Engineering (DEEC). She holds degrees in Electrotechnical and Computing Engineering (1986), MSc (1992), and PhD (2008) from FEUP. Her research focuses on multimedia systems, with emphasis on context-aware applications, multi-view video streaming, and quality of service/experience optimization. She is a Senior Researcher at INESC TEC, contributing to the Multimedia Systems Area within the Telecommunications and Multimedia Center. Education: Bachelor's: Electrotechnical and Computing Engineering (FEUP, 1986) Master's: FEUP (1992) PhD: FEUP (2008) Research Interests: Adaptable multimedia systems in heterogeneous environments 3D/multiview video streaming optimization Semantic technologies for content recommendation Quality of service/experience (QoS/QoE) in multimedia services Context-aware applications and digital cinema innovation Key Contributions: Her work includes datasets like Data2MV for multi-view user behavior analysis, predictive view-selection mechanisms for reduced latency, and semantic-aware video generation from static images. These contributions address efficiency in facial recognition tasks and immersive video streaming challenges. Advising & Grants: Supervised 6 theses at FEUP (2023) on topics like multi-view quality adaptation, bandwidth prediction, and multimedia branding. Active in collaborative projects at INESC TEC, though specific grants are not detailed here. Labs/Teams: Integral member of the Multimedia Systems research team at INESC TEC's Telecommunications and Multimedia Center, contributing to experimental platforms and open-source tools for gaze tracking and dataset analysis.

Hamza Aagelaمشاهده پروفایل

مدرس ارشد

• Robotics
• Industrial Internet of Things
• Cloud Computing
• +۴ مورد دیگر

Dr. Hamza Aagela serves as a Senior Lecturer in Electrical and Electronic Engineering at the University of Huddersfield's School of Computing and Engineering. He holds affiliations with two research centers: the Centre for Efficiency and Performance Engineering and the Centre for Thermofluids, Energy Systems and High-Performance Computing. His research focuses on transformative technologies including cloud robotics, industrial IoT security, and sustainable energy systems. Research interests span: Robotics systems design and teleoperation Industrial Internet of Things (IIoT) security frameworks Cloud-based computational platforms for education Sustainable energy transition strategies High-performance computing resource optimization Humanoid robot applications and control systems Publication analysis reveals strong emphasis on cloud robotics architectures, industrial IoT security, and sustainable energy solutions. Recent work (2024) addresses green hydrogen infrastructure development across North Africa and Europe. Earlier contributions established frameworks for secure manufacturing intelligence and cloud-based robotic control systems. Dr. Aagela actively supports academic development through PhD supervision and contributes to engineering education research. He explores innovative teaching methods using reconfigurable computing resources to train future engineers in high-performance computing.

• Robotics
• Control Systems
• Machine Learning
• +۳ مورد دیگر

Cong Wang is an Associate Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research focuses on robotics, control systems, and mechatronics, with a particular emphasis on physical intelligence, robot learning, and human-robot interaction. He has led significant projects funded by the National Science Foundation (NSF), including the CAREER Award for Surrogate Learning in robotics and collaborative work on exoskeleton development for mobility restoration. Wang’s research interests span robotics manipulation, networked systems, and automation technologies. He has published extensively in top-tier conferences and journals, with notable contributions to topics like remote driving systems, video streaming codecs, and UAV-based manufacturing. His work integrates theoretical advancements with practical applications, such as assistive robotics for mobility assistance and teleoperated systems for intelligent transportation. Notable achievements include the NSF CAREER Award and collaborative grants involving interdisciplinary teams. His research has been highlighted in media coverage for innovations in robotic hand skills and exoskeleton technologies. Wang’s lab actively explores adaptive control strategies, crowdsourced learning methodologies, and the ethical implications of automation in labor markets.

Paterakis Michaelمشاهده پروفایل

استاد

• Computer Communication Networks
• Protocol Design
• Performance Evaluation
• +۵ مورد دیگر

Michael Paterakis is a Professor of Telecommunications at the Technical University of Crete (TUC), School of Electrical and Computer Engineering (ECE). He holds a Ph.D. from the University of Virginia (1988), an M.Sc. from the University of Connecticut (1986), and a Diploma in Electrical Engineering from the National Technical University of Athens (1984). His roles include Vice Rector for Academic Affairs (2005–2010), Director of the Telecommunication Systems Institute (2000–2005), and Chair of the ECE Department (1999–2001). He is a Senior Member of the IEEE. Education: Ph.D. in Electrical Engineering, University of Virginia, 1988 M.Sc. in Electrical Engineering, University of Connecticut, 1986 Five-Year Diploma in Electrical Engineering, National Technical University of Athens, 1984 Research Interests: His work focuses on computer communication networks, including protocol design, performance evaluation of broadband and wireless systems, queueing theory, and distributed multimedia systems. Key areas include: - Design and analysis of MAC protocols for wireless and powerline networks - Call Admission Control (CAC) mechanisms for multimedia traffic - Cache management policies for video streaming - Network modeling and simulation. Recent Research Trends: Recent publications emphasize optimizing protocols for heterogeneous networks (e.g., CRNs), improving CAC accuracy for video traffic, and enhancing MAC protocols for powerline systems. His work integrates theoretical models with practical network deployment. Awards & Recognition: Senior Member of the IEEE. Grants & Projects: Principal Investigator of the EU-funded project to design broadband fiber-optic MANs in Crete (2005–2009). Labs & Teams: Leads the Information and Networks Laboratory at TUC, focusing on advanced networking and telecommunications research.

• Network Economics
• Peer-to-Peer Systems
• Video Streaming
• +۵ مورد دیگر

Dah-Ming Chiu is a Professor in the Department of Computer Science and Engineering at the Chinese University of Hong Kong's Faculty of Engineering. With over 190 publications spanning from 1988 to 2025, his work demonstrates sustained academic leadership in network systems and data science applications. Chiu's research focuses on network economics, peer-to-peer systems, video streaming technologies, and social network analysis. His work bridges theoretical computer science with practical applications in ride-on-demand services, e-payment systems, and social media platforms. Recent research demonstrates increasing interdisciplinary work connecting computer science with social sciences, particularly in analyzing Hong Kong's social and health metrics. His publication trends show evolution from foundational networking research to contemporary data science applications. Early work centered on P2P systems and network protocols, while recent publications increasingly apply machine learning to transportation, social services, and public health domains, often using Hong Kong as a case study. Chiu has mentored numerous researchers who have become established scholars in networking and data science fields. His collaborative work spans multiple institutions and demonstrates strong industry relevance through applications in video streaming, ride-hailing services, and financial technology. His laboratory work focuses on real-world system implementations with applications in urban mobility, social services, and academic ecosystem modeling. Current projects integrate multi-source urban data for predictive modeling in transportation and social service domains.

• Telecommunications
• Machine Learning
• Network Optimization
• +۳ مورد دیگر

Darijo Raca is a researcher in the Department of Telecommunications , focusing on advanced telecommunications systems, machine learning applications in network optimization, and adaptive video streaming technologies. He actively contributes to academic activities such as organizing workshops on optical fiber systems and fostering collaborations with institutions like TU Dublin. Research Interests: His work emphasizes telecommunications infrastructure , machine learning for network prediction , 5G and 4G LTE optimization , and quality of experience (QoE) in adaptive streaming . He has developed frameworks like JuliaGrid and DashReStreamer , and contributed to datasets like the 360 video DASH dataset . Key Contributions: Over 20 journal articles and conference papers highlight his expertise in throughput prediction, distributed state estimation, and video streaming algorithms. Notable trends include integrating AI/ML into 5G networks and improving real-world network performance through empirical testing. Labs/Teams: He is part of the initiative to establish a quantum cryptography laboratory within the Department of Telecommunications, pushing boundaries in secure communication systems.

• Computer Vision
• Machine Learning
• Signal Processing
• +۶ مورد دیگر

Qian Huang is a Professor in the Department of Computer Science at Sun Yat-sen University's School of Computer Science and Engineering. With over 350 publications spanning from 1992 to 2025, Dr. Huang has established themselves as a leading researcher in multiple interdisciplinary fields at the intersection of computer science, engineering, and applied mathematics. Dr. Huang's research spans several critical domains in modern computing. Their primary interests include computer vision with applications in medical image analysis, machine learning with emphasis on transformer architectures and federated learning, signal processing for video compression, and wireless communications for IoT applications. Recent work demonstrates significant contributions to nuclei segmentation in cervical cell images, advanced video compression techniques using spatiotemporal modeling, and predictive maintenance systems for industrial equipment that incorporate uncertainty quantification. An analysis of Dr. Huang's 15 most recent publications reveals a strong trend toward interdisciplinary research that bridges theoretical computer science with practical applications. Their work consistently addresses real-world challenges in healthcare diagnostics, industrial automation, and communication systems. The publications demonstrate expertise in developing novel deep learning architectures while maintaining theoretical rigor in mathematical foundations. Multiple publications in IEEE Transactions journals across various domains Regular contributions to top-tier conferences including ICASSP, ICIP, NeurIPS, and CVPR Collaborations with researchers from leading institutions globally Dr. Huang's research program appears well-funded through collaborations with industrial partners and Chinese national research grants, though specific grant information isn't detailed in the publication record. Their work on federated learning frameworks and medical image analysis suggests strong connections with healthcare technology companies and medical research institutions. The extensive publication record across multiple domains indicates leadership of a substantial research group with expertise spanning computer vision, machine learning, and signal processing.

Eirini Liotouمشاهده پروفایل

استادیار

• 5G Mobile Cellular Networks
• Software-Defined Networking (SDN)
• Network Functions Virtualization (NFV)
• +۵ مورد دیگر

Eirini Liotou is an Assistant Professor at the Department of Informatics and Telematics, Harokopio University, within the School of Digital Technology. She holds a PhD from the National and Kapodistrian University of Athens (2017), with postdoctoral research funded by the State Scholarship Foundation (ΙΚΥ) from 2019–2021. Her academic career includes adjunct teaching roles at the National and Kapodistrian University of Athens, Hellenic Open University, and Business College of Athens. She has extensive industry experience as a Senior Software Engineer at Siemens and as a Project Manager/Researcher in EU projects like 5G-IANA and XGain. Education: PhD: Quality of Experience in Mobile Networks (NTUA, 2017) MSc: Communications & Signal Processing (Imperial College London, 2012) MSc: Informatics & Telecommunications (NTUA, 2011) Diploma: Electrical & Computer Engineering (National Technical University of Athens, 2006) Research Interests: Focuses on 5G/6G networks, Software-Defined Networking (SDN), Quality of Experience (QoE), and automotive networking. Her work addresses challenges in network virtualization, edge computing, federated learning, and vehicular communications. She has contributed to projects like CASPER and SMART-NRG, emphasizing user-centric service provisioning and network orchestration. Publications: Over 25 peer-reviewed papers spanning SDN applications, QoE management, and vehicular networks. Recent trends include federated learning for cellular networks, edge computing in automotive systems, and QoE-driven network optimization. Awards: Post-doctoral Research Scholarship (ΙΚΥ, 2019–2021) Grants & Projects: Deputy Coordinator: 5G-IANA (EU 5G PPP Phase 3.VI) Deputy Coordinator: XGain (Horizon 2021) Senior Researcher: Marie Curie projects CASPER and CROSSFIRE Labs/Teams: Active in the Communication Networks Laboratory (NTUA) and the I-SENSE group at ICCS. Leads research in intelligent automotive networking and edge-cloud continuum applications.

Thomas Schierlمشاهده پروفایل

پژوهشگر

• Video Coding
• Wireless Communication Protocols
• Multimedia Systems
• +۳ مورد دیگر

Dr. Thomas Schierl is the Head of the Video Communication and Applications Department at Fraunhofer Heinrich Hertz Institute (HHI) in Berlin. Since 2010, he has led research groups in multimedia communications and video coding, co-developing key video coding standards such as H.264 SVC and HEVC. He currently heads the Video Coding & Analytics department since 2015, focusing on video compression, wireless transmission, and standardization. Education: Diplom-Ingenieur (Computer Engineering) from Berlin University of Technology, 2003 Dr.-Ing. in Electrical Engineering and Computer Science, Berlin University of Technology, 2010 Research interests span video over wireless networks, system integration of video codecs, and cellular network protocols. He contributed to MPEG-2 Transport Stream standards and co-authored IETF RFCs for video payload formats. In 2014, he received the Emmy Award for MPEG-2 Transport Stream development. Active in standardization bodies: JCT-VC, MPEG, IETF, 3GPP, and DVB. His work includes high-level syntax for HEVC parallelism and V2X resource pooling for 5G NR. Labs/Teams: Leads the Video Coding & Analytics team at HHI, specializing in cutting-edge video compression and communication technologies.

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.

Romain Jacobمشاهده پروفایل

مدرس

• Computer Networks
• Real-Time Systems
• Wireless Communication
• +۵ مورد دیگر

Romain Jacob is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich, where he also holds a postdoctoral researcher position in Prof. Laurent Vanbever's group. His research focuses on computer networks, real-time systems, and sustainable networking, with an emphasis on reproducible experimental design and open science advocacy. He completed his PhD under Prof. Lothar Thiele at ETH Zürich in 2019, followed by a visiting scholar position at UC Berkeley in 2014. His academic background includes a Master of Science in Engineering of Complex Systems from École Normale Supérieure de Cachan (now ENS Paris-Saclay). Key research interests include: Time-triggered wireless architectures for cyber-physical systems Energy-efficient networking and sustainability Reproducibility frameworks like TriScale Real-time communication protocols Notable contributions include the Best Paper Award at HotCarbon'24 for work on router energy optimization. He actively promotes open science through initiatives like the ORCID Researcher Advisory Council and serves as Editor-in-Chief for JSys. His teaching includes a master's lecture on Sustainable Networking, emphasizing practical applications and open educational resources. He collaborates with the Swiss Reproducibility Network (SwissRN) to advance rigorous research practices.

• 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.