جست‌وجوی استاد و پژوهشگر

• Cognitive Networks
• Internet of Things (IoT)
• Wireless Communication Systems
• +۴ مورد دیگر

Professor Klaus Moessner holds dual roles as a Professor in Cognitive Networks at the University of Surrey’s Institute for Communication Systems (5GIC) and Head of the Professorship of Communications Engineering at Technische Universität Chemnitz since 2019. His research focuses on cognitive networks, IoT deployments, resource management in wireless systems, and dynamic spectrum access. He leads major EU-funded projects such as Speed5G and Clear5G, exploring advanced 5G architectures and capacity enhancement methods. Research Interests: Cognitive Networks and Reconfigurable Systems IoT Deployments and Sensor Data Analytics Dynamic Spectrum Sharing & DSA 5G/6G Network Architecture Machine Learning for Resource Optimization Publications highlight innovative work in 5G NR-V2X, URLLC HARQ protocols, and industrial IoT security. Awards include Senior Member status with IEEE. Active in mentoring PhD students across IoT, network resource management, and machine learning applications. Key projects include EU-Japan iKaaS and EU-Taiwan Clear5G collaborations. Labs & Affiliations: 5G Innovation Centre (5GIC) at Surrey, leading the IEEE DySPAN working group on spectrum interfaces. Extensive industry engagement through 20+ EU projects and advisory roles.

Matthias Pezzuttoمشاهده پروفایل

استادیار

• Control Systems
• Networked Control Systems
• Wireless Communication for Control
• +۴ مورد دیگر

Matthias Pezzutto is an Assistant Professor at the Department of Information Engineering, University of Padova. His research focuses on advanced control systems, networked control systems, and wireless communication for control applications. He explores topics such as distributed estimation, epidemic control, and optimization in cyber-physical systems. His work bridges theoretical advancements with practical implementations, including experiments over Wi-Fi and multirotor robotics. Key areas of interest include: Control systems with communication constraints Epidemic modeling and intervention strategies Real-time wireless control architectures His publications emphasize robust control methodologies, such as self-triggered MPC and adaptive transmission protocols, addressing challenges like packet loss and latency. Recent works explore the integration of edge-cloud continuum for control systems and heterogeneous vehicle mission planning. While no specific awards or grants are listed, his research activities are supported by experimental validations and collaborations in industry and academia.

• Electrical Engineering
• Computer Science
• Wireless Communications
• +۵ مورد دیگر

Dr. Ahmed Mohamed Hossam is a part-time lecturer in the School of Electrical Engineering and Computer Science at the University of Ottawa. His research interests span multiple disciplines, including wireless communications, network security, renewable energy systems, and healthcare technology. He has contributed to advancements in reconfigurable intelligent surfaces (RIS) for 6G networks, IoT applications, and smart health systems. His work often intersects with interdisciplinary topics such as energy systems modeling (e.g., PV-wind systems for hydrogen generation) and medical informatics (e.g., obesity trends and neurological case studies). Recent publications highlight his focus on securing low-power wireless networks, optimizing 5G/6G architectures, and improving urban infrastructure through algorithmic solutions. Notable contributions include studies on physical layer security in emerging wireless systems, smart ambulance systems, and parking allocation algorithms. His research bridges theoretical advancements with practical applications in healthcare technology and sustainable energy.

Shivendra Panwarمشاهده پروفایل

استاد

• Wireless Networks
• 5G/6G Technology
• Millimeter Wave and Terahertz Communication
• +۴ مورد دیگر

Shivendra Panwar is a Professor in the Electrical and Computer Engineering Department at the NYU Tandon School of Engineering and Director of the New York State Center for Advanced Technology in Telecommunications (CATT). He holds IEEE Fellow and NAI Fellow distinctions. His research focuses on wireless networks (5G/6G, mmWave, terahertz), video distribution over wireless, AR/VR/XR applications, and R&D policy. Education: B.Tech from IIT Kanpur (1981), M.S. and Ph.D. from University of Massachusetts Amherst (1983, 1986). He co-founded the NY City Media Lab and is a member of NYU Wireless. Notable awards include the IEEE Leonard G. Abraham Prize (2004), 2011 Multimedia Best Paper Award, and Sony Research Awards (2016-2017). Recent work addresses challenges in millimeter wave systems, full-duplex cellular networks, and latency-sensitive applications. His contributions span protocol design, network architecture innovation, and economic analysis of telecom systems. He has authored/co-authored influential books on TCP/IP and network management.

Don Warsingمشاهده پروفایل

دانشیار

• Operations Management
• Supply Chain Engineering
• Inventory Control
• +۲ مورد دیگر

Dr. Donald Warsing is an Associate Professor of Operations and Supply Chain Management in the Department of Business Management at North Carolina State University's Poole College of Management. He holds a Ph.D. in Operations Management from UNC Chapel Hill, an M.S. in Management from NC State, and a B.S. in Industrial Engineering from Ohio State University. His research focuses on developing analytical tools for managing inventory, logistics, and business operations, with expertise in production/inventory management, additive manufacturing, and logistics/distribution. Dr. Warsing bridges academic research and industry practice through his work with the Supply Chain Resource Cooperative (SCRC), where he advises student teams solving real-world supply chain challenges. Prior to academia, he held engineering and management roles at IBM Corporation. His research has been published in leading journals including Production and Operations Management, Journal of Operations Management, and Decision Sciences. He co-authored the graduate textbook Supply Chain Engineering: Models and Applications .

Francesc Wilhelmiمشاهده پروفایل

استاد

• Wi-Fi Technologies
• Network Simulation
• Machine Learning
• +۳ مورد دیگر

Francesc Wilhelmi is a Tenure-Track Professor at Universitat Pompeu Fabra (UPF) and a Research Engineer at Nokia Bell Labs . He holds a Ph.D. in Information and Communication Technologies (2020) and an M.Sc. in Intelligent and Interactive Systems (2016), both from UPF. His research focuses on Wi-Fi technologies , machine learning , decentralized learning , and blockchain applications in telecommunications . He previously served as a researcher at CTTC and taught at UPF (2015–2020) and Universitat Oberta de Catalunya (2020–2022), specializing in networking courses. Key contributions include the Komondor wireless network simulator and standardization work at ITU-T , notably editing recommendation Y.3181 on Machine Learning Sandboxes. Active in FG-ML5G , organizing problem statements for the ITU AI/ML in 5G Challenge. Explores blockchain for O-RAN sharing and AI-driven spatial reuse in 5G/6G networks. His work bridges network simulation with machine learning to address challenges in dense wireless environments, emphasizing practical implementations and open-source tools.

• Network Security
• Software-Defined Networking
• Network Function Virtualization (NFV)
• +۵ مورد دیگر

Besmir Tola is an Associate Professor at the Department of Information Security and Communication Technology, NTNU. His affiliations include the Faculty of Information Technology and Electrical Engineering, where he holds a permanent academic position. Previously, he served as an Assistant Professor (2020-2022), Researcher (2019-2020), and held a Marie S. Curie Fellowship (2015-2019) within the same institution. He earned his Master's from the University of Siena (Italy) and PhD from NTNU. His research focuses on dependability modeling of software-defined networks, performance analysis of virtualized networks, wireless security, and NFV orchestration. He has published extensively on topics like NFV service resilience, redundancy allocation, and network availability modeling. His work emphasizes practical solutions for carrier-grade service provisioning and network reliability in cloud-native architectures. Dr. Tola has collaborated with industry partners such as Nokia Bell Labs and SIKT (Norway), contributing to both academic and applied research. He is also an accredited Cisco Networking Academy instructor, teaching courses like Cisco Certified Network Associate and Cloud Security. His voluntary roles include leadership in IEEE NTNU Student Branch and PhD/postdoc advocacy organizations.

Antonio Brogiمشاهده پروفایل

استاد

• Service Computing
• Cloud Computing
• Fog Computing
• +۴ مورد دیگر

Antonio Brogi is a Full Professor at the Department of Computer Science, University of Pisa. He leads the Service-Oriented, Cloud and Fog Computing (SOCC) research group and is actively involved in multiple editorial roles, including for Electronics , Heliyon Computer Science , and Journal of Computer Languages . His research focuses on cloud-edge computing, quantum software engineering, and formal methods for distributed systems. He chairs program committees for major conferences like ESOCC, ADAPTIVE, and IEEE ICWS. Research Interests: Service computing, fog computing, quantum software engineering, system coordination, resilience, and sustainability. He has pioneered declarative approaches for managing distributed systems and has contributed to frameworks like ECLYPSE and FREEDA. Teaching: Teaches Cloud Computing (BSc) and Advanced Software Engineering (MSc) at the University of Pisa. Supervises master's and bachelor's theses in related areas. Grants & Projects: Participated in EU-funded initiatives like SeaClouds and national projects DECLware and Through the Fog. Active in industry collaborations for cloud-edge infrastructure optimization.

Markus Perolaمشاهده پروفایل

پژوهشگر

• Biomedicine
• Genetic Epidemiology
• Population Health
• +۵ مورد دیگر

Markus Perola serves as a University Researcher at the University of Helsinki, holding dual roles as Supervisor for the Doctoral Programme in Biomedicine and the Doctoral Programme in Population Health. He maintains an active external position at THL (Finnish Institute for Health and Welfare) since 2001, demonstrating long-term commitment to national public health research. His research spans Biomedicine , Genetic Epidemiology , and Population Health , with particular focus on Genetic determinants of autoimmune diseases and diabetes Chronobiology and socioeconomic interactions Mitochondrial mechanisms in liver disease Large-scale biobank analytics (FinnGen) Electronic health record mining for clinical insights cutting-edge methodologies in precision medicine and population-scale data integration. Analysis of his 367 publications reveals dominant themes in genomic epidemiology and translational biomedicine , with recent work emphasizing AI-driven risk prediction (particularly for COVID-19 outcomes), mitochondrial pathways in chronic diseases, and fine-scale genetic ancestry mapping. His research increasingly integrates multi-omics data with real-world clinical records. His scientific leadership includes major EU-funded initiatives: B1MGplus (€10,420 funding) EU/PROPHET (€66,681 funding) PRIMUS privacy-preserving meta-learning project GoE: Genome of Europe initiative FinnGen biobank consortium Perola actively supervises doctoral candidates through two university programs while contributing to 34 media engagements that translate complex genomic findings for public understanding. His work demonstrates consistent translational impact from basic genetic mechanisms to clinical applications and public health policy.

Toktam Mahmoodiمشاهده پروفایل

استاد

• Communications Engineering
• Networking
• Edge Computing
• +۵ مورد دیگر

Prof. Toktam Mahmoodi is a Professor of Communications Engineering at King's College London, affiliated with the Department of Engineering under the Faculty of Natural, Mathematical & Engineering Sciences. She leads the Centre for Telecommunications Research, focusing on advanced networking, edge computing, and 5G/6G technologies. Her academic journey includes a BSc from Sharif University of Technology and a PhD from King's College London. Education: BSc in Electrical Engineering, Sharif University of Technology PhD in Telecommunications, King's College London Research Interests: Her work spans ultra-low latency networking, network virtualization, edge intelligence, and sustainable communication systems. She explores integration of cloud and mobile networks, autonomous networks, and energy-efficient solutions. Key areas include federated learning, tactile internet, and telemedicine applications. Grants & Projects: Principal Investigator for the Native Sensing in 6G Networks - Capgemini project (2023-2027). Co-Investigator in the VERGE project for AI-driven edge architectures (2023-2025). Lead in the ANIARA initiative for connected car communications (2020-2022). Pioneered projects like SoftEdge Networking and Primo-5G for immersive telepresence. Labs & Teams: Director of the Centre for Telecommunications Research, a global leader in telecommunications and cybersecurity research.

Roua TOUIHRIمشاهده پروفایل

مدرس

• Software-Defined Networking (SDN)
• Data Center Networks
• Cloud Computing
• +۴ مورد دیگر

Roua TOUIHRI is a Lecturer at Telecom SudParis and an associate member of the ACMES group. She is affiliated with the SAMOVAR research laboratory, which focuses on networking and distributed systems. She holds a PhD in Hardware Architecture from Paris-Est University (2021), where her thesis addressed optimizing routing and resource allocation in SDN-based server-only data center networks for private cloud architectures. Her research interests center on Software-Defined Networking (SDN), cloud computing, and service-level agreement (SLA) management. She explores topics such as autonomous multi-cloud SLA adaptation, process mining for SLA reporting, and optimizing routing protocols in data center networks. Her work often intersects with network protocol design, resource allocation strategies, and improving network throughput in distributed systems. Her publications span conferences like IEEE BigData, IEEE ICC, and GLOBECOM, focusing on SDN-based solutions for data center networks, multi-cloud SLA management, and protocol optimization. She has contributed to developing novel routing schemes like M-CRP and CRP for CamCube server-only architectures, addressing latency reduction and resource utilization challenges. Roua TOUIHRI’s academic contributions are anchored in practical applications of SDN and cloud technologies, with a focus on scalable and efficient network designs for modern distributed systems.

Jinhua Guoمشاهده پروفایل

دانشیار

• Networking
• Vehicular Networking
• Data Center Networking
• +۵ مورد دیگر

Jinhua Guo is an Associate Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn's College of Engineering and Computer Science. He holds a Ph.D. from the University of Georgia and B.E./M.E. degrees in Computer Science from Dalian University of Technology. His research spans vehicular networking , mobile/cloud computing , cybersecurity , and optimization algorithms . His recent work focuses on data center energy optimization using neural networks, cache robustness in named data networks , and real-time task scheduling on multi-core processors . Earlier contributions include MAC protocols for vehicular networks and context-aware routing in VANETs . Scientific awards and grants include: NSF Grant (co-PI): Enhancing Pervasive/Mobile Computing Security Education (2014-2016) Amazon AWS in Education Grant (PI): 2012-2015 NSF Grant (PI): Mobile Computing Research for Automotive Applications (2005-2010) He has advised 14 graduate students, including: John P. Baugh (Ph.D., 2018) Vishal Singh (Ph.D., 2016) Jun Liu (Ph.D., 2015) Ryan Bankston (Ph.D. in progress)

• Cardiac Arrest Resuscitation
• Emergency Medical Services
• Pre-hospital Care
• +۳ مورد دیگر

Gareth Clegg serves as a Senior Clinical Lecturer at the Centre for Population Health Sciences within the Usher Institute, College of Medicine and Veterinary Medicine at the University of Edinburgh. Based at the Edinburgh BioQuarter (5-7 Little France Road, Edinburgh EH16 4UX), his work focuses on optimizing out-of-hospital cardiac arrest (OHCA) response systems through interdisciplinary approaches spanning emergency medicine, public health, and behavioral science. Dr. Clegg's research centers on critical gaps in the OHCA 'chain of survival,' with particular emphasis on bystander intervention barriers , defibrillator accessibility equity , and resuscitation communication dynamics . His methodology integrates geospatial modeling of AED placement, linguistic analysis of emergency calls, and behavioral interventions to address socioeconomic disparities in survival outcomes. Recent work demonstrates innovative applications of narrative medicine to improve clinical practice and examines how depression and sex characteristics modify resuscitation outcomes. Analysis of his 2023-2025 publications reveals a strategic shift toward implementation science , with increasing focus on feasible real-world solutions like bystander support services and socially primed CPR training. His Scottish-centric research leverages national health data to address rural-urban divides and develop equity-focused interventions, while maintaining rigorous mixed-methods approaches combining quantitative modeling with qualitative insights from emergency call recordings. No scientific awards were documented in the source materials. Though specific student mentorship isn't listed, Dr. Clegg's work involves substantial collaboration with Scottish Ambulance Service, NHS Scotland, and public health agencies. His research program appears grant-funded through UK public health initiatives, particularly evident in geospatial modeling projects and nationwide cohort studies spanning 2011-2020. As part of the Centre for Population Health Sciences, he contributes to Edinburgh's leadership in emergency care epidemiology. His current work suggests active involvement in Scotland's OHCA strategy development, with emerging focus on post-resuscitation psychological support systems and advanced resuscitation technologies like extracorporeal CPR.

• Intensive Care
• Critical Care Medicine
• Artificial Intelligence in Healthcare
• +۵ مورد دیگر

Dr. Michel van Genderen serves as a Researcher in the Department of Intensive Care at Erasmus MC's Erasmus School of Medicine, Rotterdam. His work focuses on advancing critical care through innovative research in mechanical ventilation protocols, AI integration, and sustainable ICU practices. With 69 research outputs including 50 articles and 7 reviews, he actively contributes to European critical care initiatives. His research spans Intensive Care Medicine , AI applications in critical care , and environmental sustainability . Key interests include developing standardized data models for ICU networks, optimizing mechanical ventilation strategies, and implementing large language models for clinical decision support. Recent work examines green ICU initiatives from multiple stakeholder perspectives and leverages GPT-4 to improve patient understanding of radiology reports. Analysis of his 15 most recent publications reveals strong emphasis on data standardization for European ICU networks , AI-driven clinical decision tools , and sustainable critical care practices . His work consistently bridges technical innovation with practical clinical implementation, particularly in mechanical ventilation optimization and pandemic response protocols. Dr. van Genderen has supervised at least two graduate students and participates in multi-center collaborations across Europe. His research receives significant attention with news mentions and Mendeley readership. Current projects include the SWITCH study on ventilation strategies and development of the Common Data Model for Intensive Medicine Data Space in Europe. He contributes to critical care innovation through participation in European research networks focused on data interoperability and sustainable healthcare infrastructure. His work on "The green ICU" examines environmental sustainability from healthcare professional, procurement specialist, and regulatory perspectives.

• Digitalization
• Control Systems
• Optimization Algorithms
• +۴ مورد دیگر

Guoyuan Li is a Professor at the Department of Ocean Operations and Civil Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU), Ålesund Campus. His work bridges digitalization , artificial intelligence , and maritime engineering , focusing on ship maneuvering, robotics, and human-machine interaction. Ph.D. in Computer Science, University of Hamburg (2013) M.S. & B.S. in Computer Science, Chongqing University (2009 & 2006) Research Interests: Digital twin systems for ships, adaptive locomotion control in bio-inspired robotics, trajectory prediction for marine vessels, and human visual attention analysis in maritime operations. He integrates machine learning and physics-based models to enhance safety and efficiency in marine environments. Publications highlight trends in ship motion prediction , collision avoidance , and environmental disturbance modeling , with applications in digital twin technology and remote control centers . His work spans IEEE and Springer journals. Awards include multiple Best Paper Awards at IEEE conferences (2024-2014). He serves as Associate Editor for IEEE Journal of Oceanic Engineering and IEEE Transactions on Intelligent Transportation Systems . Projects include EU’s RoboSapiens (robot adaptation), Digital Twin for Green Ship Operations (Norway), and AuReCo (remote control systems). He collaborates with the Intelligent Systems Lab at NTNU.