جست‌وجوی استاد و پژوهشگر

• Computer Networking
• Network Architecture
• Quality of Service
• +۴ مورد دیگر

Jordi Domingo-Pascual is a distinguished academic and researcher in the field of computer networking, affiliated with Universitat Politècnica de Catalunya (UPC) in Barcelona, Spain. With a publication record spanning nearly three decades from 1994 to 2022, he has established himself as a leading expert in network architecture, quality of service, and network performance analysis. His work has significantly contributed to advancements in networking technologies including Software-Defined Networking, Locator/Identifier Separation Protocol (LISP), and wireless network optimization. Dr. Domingo-Pascual's research primarily focuses on network architecture and performance , with specific expertise in: Quality of Service (QoS) mechanisms in heterogeneous networks Locator/Identifier separation protocols and their scalability Software-Defined Networking control plane optimization Wireless network capacity estimation and performance analysis Inter-domain routing and multicast solutions Traffic measurement and hidden traffic analysis His work bridges theoretical network models with practical implementations, often collaborating with industry partners to address real-world networking challenges. Throughout his career, Domingo-Pascual has evolved from early ATM network research in the 1990s to IP/MPLS integration in the 2000s, and more recently to Software-Defined Networking and network function virtualization. His most recent publications (2020-2022) show a strong focus on controller placement optimization, addressing critical challenges in network latency and reliability. This represents a natural progression from traditional networking protocols toward more modern, flexible network architectures that can adapt to evolving service requirements. Dr. Domingo-Pascual has mentored numerous researchers and collaborated extensively with colleagues across Europe and internationally. His research group at UPC has been particularly active in projects related to European Union-funded initiatives in networking technologies. While specific grant details aren't provided in the available information, his consistent publication record suggests sustained research funding throughout his career.

• Electromagnetic Compatibility (EMC)
• Risk Management
• Software Defined Radio (SDR)
• +۶ مورد دیگر

Dr. Robert Vogt-Ardatjew is a researcher specializing in Radio Systems , with a focus on Electromagnetic Compatibility (EMC) , Risk Management , and Software Defined Radio (SDR) . His work spans Shielding Effectiveness , Propagation Channel Modeling , and Frequency-Selective Emission Detection , contributing to both academic research and practical EMC engineering solutions.

Ioannis Lambadarisمشاهده پروفایل

استاد

• Network Traffic Modeling
• Quality of Service (QoS) Control
• Cloud Data Center Resource Allocation
• +۸ مورد دیگر

Ioannis Lambadaris is a Full Professor and Chancellor’s Professor at Carleton University's Department of Systems and Computer Engineering, Faculty of Engineering and Design. Holding a Ph.D. from the University of Maryland, he has contributed extensively to network performance analysis over 25+ years. Specializes in stochastic processes, cloud computing, and wireless edge systems Led Ericsson 5G Chair initiatives Supervised over 70 graduate students His research spans QoS control , VNF placement optimization , and IoT indoor localization , with over 170 publications. Recent work focuses on reinforcement learning and deep learning in network resource allocation. Scientific Recognition: Chancellor’s Professor Ericsson 5G Chair Contact: ioannis@sce.carleton.ca | Office: Mackenzie 4448, Ottawa, ON

• Applied Electromagnetics
• Computational Electromagnetics
• Metamaterials
• +۹ مورد دیگر

Francisco Javier Falcone Lanas is a Professor in the Department of Electrical, Electronic and Communication Engineering at the Public University of Navarre. He is affiliated with the Institute of Smart Cities and leads research in the Communication, Signals and Microwaves research group. He also participates in the Doctoral Program in Communications Technologies, Bioengineering, and Renewable Energy. His research focuses on applied and computational electromagnetics, with specializations in: Analysis and design of complex electromagnetic media and metamaterials Design of communication devices (filters, diplexers, couplers, antennas) Implementation of devices on flexible/paper substrates Wireless power transfer systems Computational electromagnetic code development (FDTD, 3D Ray Launching, Radar RCS) Implementation of devices for PLMN, WSN, LPWAN and Radar systems Radioelectric analysis at physical layer and system level His recent publications demonstrate a strong focus on millimeter-wave technology, MIMO antenna systems, 5G/6G communications, and wireless sensor networks. His work often addresses optimization challenges related to energy consumption, interference handling, and capacity/coverage in communication systems. He has made significant contributions to the fields of metamaterials and their application in antenna design and performance enhancement. With an H-index of 58 in Scopus, Professor Falcone Lanas has established himself as a leading researcher in his field. His research has practical applications in various domains including: 5G/6G mobile communication systems Wireless body area networks Vehicle-to-everything (V2X) communications Wireless sensor networks for industrial applications Digital twin modeling for UAV communications Earthquake disaster management systems

• Ambient Intelligence
• Decision Support Systems
• Intelligent Systems
• +۵ مورد دیگر

Ana Maria Neves de Almeida Baptista Figueiredo is a Coordinator Professor and academic leader at the Institute of Engineering of Polytechnic of Porto (ISEP/IPP). She currently serves as President of the ISEP Scientific Council (since 2018), Sub-Director of post-graduation programmes in Big Data & Decision Making and Industry 4.0, and holds numerous leadership roles in accreditation processes including A3ES, EUR-ACE, and ABET. She is a Senior Researcher at GECAD (Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development) and member of LASI (Associated Laboratory of Intelligent Systems). Education: PhD in Industrial and Systems Engineering (2003) from University of Minho MSc in Electronic and Computer Engineering - Specialization in Industrial Informatics (1996) from University of Porto BSc in Industrial Informatics (1993) from Polytechnic Institute of Oporto - Institute of Engineering BSc in Electronic Engineering (1990) from Polytechnic Institute of Oporto - Institute of Engineering Professor Figueiredo specializes in Ambient Intelligence, Decision Support Systems, and Intelligent Systems with applications spanning multiple domains. Her research combines artificial intelligence, big data analytics, and user-centered design to develop innovative solutions. She has particular expertise in creating personalized systems that adapt to user needs and contexts, with strong emphasis on practical applications in real-world settings. Her publication record reveals consistent research activity across three main application domains: tourism technology (personalized recommendation systems, smart travel planning), Industry 4.0 (intelligent manufacturing, production scheduling), and healthcare (respiratory monitoring, medical diagnostics). The research demonstrates a clear trajectory from foundational work in scheduling algorithms to increasingly sophisticated intelligent systems incorporating machine learning, sensor networks, and emotional computing. Awards and Recognition: 2017 Award of merit for scientific publication in TELEMATICA AND INFORMATICS journal 2017 Prémio SPAIC – AstraZeneca for FRASIS respiratory monitoring project 2013 PIPED honorable mention for Android e-learning platform 2012 1st place in POLIEMPREENDE entrepreneurship competition with NearTour project 1995 Best student award in Industrial Informatics Engineering Professor Figueiredo has supervised 3 completed PhD theses with 1 ongoing, and more than thirty MSc dissertations. She has participated as Principal or Co-Principal Investigator in 6 projects and as Researcher in more than 20 projects, securing funding from FCT and other agencies. Her work has been supported by significant grants including TheRoute, GROUPLANNER, Smartravel, ATT, InVALUE, INVALUE_PT, NIS, PIANISM, Cyberfactory, SECOIIA, and produtech_R3. She leads research activities within GECAD and LASI, collaborating with international teams from Spain, Canada, USA, Czech Republic, Turkey, and Italy. Her work bridges academic research with practical applications through partnerships with business organizations, public entities, and professional associations across multiple sectors.

• Computer Systems Performance Engineering
• Networking and Internet
• Cloud Computing
• +۷ مورد دیگر

Nicholas Bambos is the R. Weiland Professor in the School of Engineering at Stanford University, holding a joint appointment in the Department of Electrical Engineering and the Department of Management Science & Engineering. He served as the Fortinet Founders Department Chair of the Management Science & Engineering Department from 2016 to 2020. His academic career spans over three decades, with previous positions as an assistant professor (1989-1995) and tenured associate professor (1995-1996) at UCLA before joining Stanford in 1996. Prof. Bambos's primary research interests focus on the architecture and high-performance engineering of computer systems and networks, along with data analytics emphasizing medical and health-care applications. His work spans multiple domains including networking and the Internet, cloud computing, multimedia streaming, computer security, and digital health. Methodologically, his contributions extend to network control, online task scheduling, routing and distributed processing, and machine learning and artificial intelligence. His research has resulted in over 300 peer-reviewed publications that demonstrate a strong interdisciplinary approach, bridging theoretical computer science with practical healthcare applications. The trajectory of Prof. Bambos's recent publications reveals a strategic expansion from traditional networking and systems research into healthcare analytics, particularly opioid use prediction and digital health monitoring. His work increasingly integrates machine learning techniques with domain-specific medical knowledge, showing a clear evolution toward solving complex societal challenges through technological innovation. Many publications demonstrate collaborative work across engineering, medical, and data science disciplines, reflecting the growing importance of interdisciplinary research in addressing modern healthcare challenges. His significant scientific achievements have been recognized through numerous prestigious awards: R. Weiland Professorship in Engineering (2016-present) Eugene L. Grant Teaching Award (2014) IBM Faculty Award (2002) Cisco Systems Faculty Scholar (1999-2003) National Young Investigator Award from NSF (1992-1997) Prof. Bambos has graduated over 40 doctoral students who have gone on to leadership positions in academia, Silicon Valley industries, technology startups, finance, and venture capital. His research has been supported by significant funding, including a $30 million Stanford Networking Research Center which he directed from 1999 to 2005. Beyond traditional academic roles, he has served on various editorial boards, scientific committees, and as a consultant and co-founder of technology startups, demonstrating his commitment to translating academic research into real-world impact. He leads the Computer Systems Performance Engineering Lab (Perf-Lab) at Stanford, which comprises doctoral students and industry visitors engaged in various research projects. His lab serves as an interdisciplinary hub connecting theoretical computer science with practical applications in healthcare, energy, and networking domains. The lab's collaborative environment fosters innovation across traditional academic boundaries, reflecting Prof. Bambos's broader research philosophy of addressing complex problems through integrated, multi-disciplinary approaches.

Ramakrishnan Durairajanمشاهده پروفایل

دانشیار

• Computer Networking
• Multi-cloud Computing
• Internet Data Science
• +۶ مورد دیگر

Ramakrishnan Durairajan is an Associate Professor in the School of Computer and Data Sciences at the University of Oregon, where he co-directs the Oregon Networking Research Group (ONRG). He holds a Ph.D. and M.S. in Computer Sciences from the University of Wisconsin-Madison and a B.Tech in Information Technology from Anna University. His research employs data-driven approaches to enhance internet robustness, focusing on: Network infrastructure measurement using AI/ML and statistical methods Mitigation of intrinsic threats (e.g., terabit-scale DDoS attacks) Resilience against extrinsic threats (e.g., climate disasters) Innovations in programmable optics and multi-cloud systems Recent publications explore satellite-based internet resilience, optical topology programming, and dynamic telemetry systems, reflecting a strong emphasis on cybersecurity and network efficiency in high-stakes environments. Notable scientific honors include: NSF CAREER Award and CRII Award Best Paper Awards at ACM CoNEXT/SIGCOMM Popular Science's 'Best of What's New in Security' Ripple Faculty Fellowship He leads federally and industry-funded research projects totaling over $5M, advises graduate/undergraduate researchers, and consults for startups on network security and cloud architecture challenges.

Vasos Vassiliouمشاهده پروفایل

دانشیار

• Distributed Network Protocols
• 5G/6G Communication Systems
• Device-to-Device (D2D) Networking
• +۱۲ مورد دیگر

Vasos Vassiliou is an Associate Professor in the Department of Computer Science at the University of Cyprus and Founding Academic Member & Research Group Leader at the Smart Networked Systems (SNS) Multidisciplinary Research Group within the CYENS Research Center. His work focuses on systems and protocols for improving network performance, reliability, and security in next-generation communication systems (5G/6G), with a strong emphasis on distributed AI/ML techniques, device-to-device (D2D) networking, IoT security, programmable metasurfaces, and intelligent network resource management. Department of Computer Science, University of Cyprus CYENS Research Center, Cyprus His research spans multiple subfields including D2D communication (interference management, device discovery), IoT security (blockchain solutions, intrusion detection), network optimization (traffic prediction, power management), and programmable metasurfaces for advanced beam steering. Recent projects like ERMIS (3D Indoor Positioning), ADROIT-6G (DAI-driven architecture), and METACITIES (digital twins/metaverse) demonstrate his leadership in cutting-edge research. His publications reveal a strong focus on distributed intelligence , machine learning applications , and security protocols across wireless systems. He has supervised multiple PhD students to completion and actively contributes to IEEE/ACM as Senior Member. IEEE Senior Member ACM Senior Member Teaching responsibilities include core courses like Computer Networks and specialized postgraduate modules on IoT Networks .

• Telecommunications
• Wireless Networking
• Energy-Efficient Network Design
• +۳ مورد دیگر

Greta Vallero serves as a Fixed-term Assistant Professor in the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, affiliated with the College of Computer, Film, and Mechatronics Engineering. She actively contributes to multiple degree programs including Communications Engineering, Computer Engineering, and Electronic and Communications Engineering. Her research focuses on telecommunications infrastructure innovation , particularly in wireless network optimization, energy efficiency, and resilience. Key areas include HAPS integration for traffic management, AI-driven environmental impact reduction in network operations, and microgrid applications for maintaining network functionality during power disruptions. Her work bridges theoretical advancements with practical implementations to address modern telecommunications challenges. Recent publications reveal a strong trend toward sustainable network architectures , combining machine learning techniques with power system innovations. Her 2024 works demonstrate significant advancements in LSTM-based environmental impact reduction, HAPS offloading strategies, and microgrid integration for RAN resilience, reflecting a cohesive research direction focused on environmentally conscious network design. Vallero supervises four active PhD students in Electrical, Electronics, and Communications Engineering: Maoquan Ni, Jun Yin, Mohammadreza Jokar, and Aurora Martiny. Her collaborative network includes prominent researchers like Michela Meo, with whom she has co-authored multiple high-impact publications. She teaches core networking courses across multiple engineering programs, including Computer Networks and Communication Networks, while contributing to specialized labs like the Internet Performance and Troubleshooting Lab. Her research group operates within the Department of Electronics and Telecommunications, focusing on next-generation network technologies with emphasis on sustainability metrics and resilience engineering. Current projects integrate telecommunications infrastructure with renewable energy systems and AI-driven optimization frameworks.

Nasim Beigi-Mohammadiمشاهده پروفایل

استادیار

• Adaptive Systems
• Autonomic Computing
• Machine Learning
• +۷ مورد دیگر

Nasim Beigi-Mohammadi is an Assistant Professor at the Department of Electrical, Computer and Software Engineering within the Faculty of Engineering and Applied Science at Ontario Tech University. Her research focuses on Adaptive Systems and Autonomic Computing with applications in cloud infrastructure, cybersecurity, and smart grid technologies. PhD in Computer Science from York University (2019) MSc in Computer Science from Toronto Metropolitan University (2013) BEng in Computer Engineering from Shahed University (2008) Her work bridges Software Defined Networking with Self-Adaptive Applications , emphasizing automated threat mitigation (e.g., DDoS attacks), resource optimization in cloud environments, and secure smart grid implementations. Recent publications explore DevOps frameworks for system self-protection and network activity data privacy . Key article trends include: Cybersecurity (DDoS mitigation, intrusion detection), Cloud Computing (software-defined infrastructure, microservices), and Smart Grid Applications (secure communication protocols). Awards include the L'Oscar from York University and NSERC CGS D scholarship. Lassonde School of Engineering Award (L'Oscar) - York University (2017) NSERC Alexander Graham Bell Canada Graduate Scholarship (CGS D) - 2016 Recognition for Research Funding Achievements - York University (2016)

Rudra Duttaمشاهده پروفایل

استاد

• Networking Systems
• Internet Architecture
• Wireless Networks
• +۵ مورد دیگر

Rudra Dutta is a Professor and Associate Department Head in the Department of Computer Science at North Carolina State University, part of the College of Engineering. He joined the faculty in 2001 after completing his Ph.D. at NC State and working as a software developer at IBM. His academic journey includes progression from Assistant Professor (2001-2007) to Associate Professor (2007-2013) to Professor (2013-present), with additional administrative responsibilities as Associate Department Head since Fall 2018. His educational background includes: Ph.D. in Computer Science from North Carolina State University (2001) M.E. in Engineering System Science and Automation from Indian Institute of Science, Bangalore, India (1993) B.E. in Electrical Engineering from Jadavpur University, Kolkata, India (1991) Dutta's research focuses on the design and performance optimization of large-scale networking systems, Internet architecture, wireless networks, and network analytics, with recent emphasis on Cyber-Physical Systems and Software Defined Networking. His work has been particularly influential in areas such as drone communications, wireless security, and network optimization. He has led significant projects including the AERPAW (Aerial Experimentation and Research Platform for Advanced Wireless) testbed, which represents a major national research infrastructure for wireless experimentation. His research has been supported by over $24 million in funding from the National Science Foundation, Army Research Office, National Security Agency, and industry partners. The most recent major grant is the AERPAW project ($11.6 million from NSF, 2021-2025). His scientific honors include: ACM Distinguished Engineer (2016) IEEE Senior Member (2015) Dutta has advised numerous doctoral and master's students, with over ten PhD students completing their degrees under his supervision. He has served on editorial boards for journals including the Journal of Optical Switching and Networking and Photonic Communication Networks, and has contributed to major conferences including serving as General Co-Chair of the IEEE Sarnoff Symposium. At NC State, he has served on numerous university committees, including the University Standing Committee on Extension, Engagement, and Economic Development and the University Reappointment, Promotion, and Tenure Committee. He is currently teaching courses including CSC/ECE 573 (Fall 2024) and CSC402 (Spring 2025), with a focus on networking education that emphasizes software-defined approaches relevant to modern computer science practice.

• Mobile Networks
• Wireless Networks
• 5G
• +۵ مورد دیگر

Mauricio ITURRALDE serves as a Teacher-researcher at CESI La Rochelle Campus, France, within the Engineering and Digital Tools Research Team. His expertise bridges telecommunications engineering and cybersecurity, with significant contributions to mobile network optimization and security protocols. His academic credentials include: Doctorate in Networks, Telecom, Systems and Architecture from National Polytechnic Institute of Toulouse and ENSEEIHT (2012) Master's Degree in Computer Systems Security from Télécom SudParis and Paris EST University (2009) ITURRALDE's research centers on 5G/LTE networks, quality of service optimization, digital twin implementation for Industry 5.0, and cyber security solutions. His work addresses critical challenges in resource allocation using game theory, energy-efficient network design, and security mechanisms for mobile communications and transportation systems. Analysis of his 15 publications (2011-2020) reveals a consistent focus on mobile network performance, with evolving emphasis from LTE resource allocation (2011-2013) to 5G sleep strategies (2019) and transportation applications (2020). His methodologies frequently integrate machine learning and game theory to solve real-world network optimization problems. No scientific awards are documented in the provided materials. Information regarding student advising and research grants is unavailable in the source text. He actively contributes to the Engineering and Digital Tools Research Team at CESI La Rochelle, which develops digital innovation solutions for engineering contexts with particular focus on network technologies and security applications.

• Algorithm design and analysis
• Cellular networks
• Connected cars
• +۱۱ مورد دیگر

Carla Fabiana Chiasserini is a Full Professor and Deputy Director at the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin. She serves as a Component of the CARS@PoliTO Interdepartmental Center - Center for Automotive Research and Sustainable Mobility and acts as a Spoke leader for research and innovation activities. Her academic career spans multiple prestigious institutions and she maintains active collaborations worldwide. Professor Chiasserini's research interests span algorithm design and analysis, cellular networks, connected cars, edge computing, heterogeneous wireless networks, Internet of Things, machine learning, mobile networks, mobile services, and performance evaluation. Her work bridges theoretical algorithm development with practical applications in next-generation telecommunications systems. She leads the TNG research group at DET and focuses on Machine Learning for Networking, with specific research lines in Network Slicing in 5G, Connected autonomous cars, and Opinion dynamics in social networks. Her research aligns with Sustainable Development Goals including Industry, Innovation and Infrastructure; Sustainable Cities and Communities; and Climate Action. Her recent publications demonstrate a strong trend toward integrating machine learning with edge computing, 5G/6G systems, and automotive applications. The research spans from theoretical algorithm development to practical implementations for XR offloading, distributed service provisioning, reliability assessment of AI-based automotive systems, and satellite networking. Her work shows increasing focus on practical implementations with industry applications, particularly in the automotive sector and next-generation telecom infrastructure. Best Paper Award - Wireless Telecommunications Symposium (WTS) 2018 Best Paper Award - IEEE WoWMoM 2016 Best Paper Award Runner-up at ACM MSWiM 2016 Top Paper Award at the ACM CoNEXT 2016 Cloud-Assisted Networking (CAN) Workshop Best Paper Award at SPACOMM 2014 Best Paper Award at AD HOC NOW 2014 2010 Editor of the Year Award for the Ad Hoc Networks journal (Elsevier) IEEE Fellow (2018-) ACM Fellow (2024-) Professor Chiasserini actively advises numerous PhD students working on cutting-edge topics in network systems, with recent graduates focusing on edge services in 5G networks, resource-aware learning in mobile networks, and deployment of microservices at the network edge. She leads multiple significant research grants including O-RAN (2024-2027), CSI-Future (2023-2025), RESTART - Spoke 4 (2023-2025), PREDICT-6G (2023-2025), and several others funded by PNRR, EU Horizon programs, and industry partnerships. Her work has substantial practical impact through numerous patents including OffloaDNN and SEM-O-RAN. She leads the TNG research group within the Department of Electronics and Telecommunications and participates in the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. Her laboratory work focuses on practical implementations of theoretical concepts, particularly in the areas of connected vehicles, edge computing, and 5G/6G systems. She maintains strong industry connections through projects with Intel Corporation and other technology partners, ensuring her research has direct real-world applications.

Sobhy Masoudمشاهده پروفایل

استادیار مدعو

• Structural Engineering
• Civil Engineering
• Fiber Reinforced Polymers
• +۵ مورد دیگر

Sobhy Masoud is an Adjunct Assistant Professor in the Department of Civil Engineering at McMaster University. His research focuses on structural engineering, particularly the rehabilitation and monitoring of reinforced concrete structures using advanced materials and sensor technologies. His work spans fiber-reinforced polymers (FRP) for concrete repair, corrosion monitoring, fatigue analysis, and structural health monitoring. He has investigated the performance of corroded beams strengthened with CFRP sheets and the application of wireless sensors for infrastructure health assessment. Research trends in his publications highlight innovations in structural durability under extreme loading conditions, fire design for composite steel decks, and the development of non-destructive testing methods. These contributions emphasize sustainable solutions for aging infrastructure and enhanced safety protocols.

• Wireless Communications
• Mathematics
• Artificial Intelligence
• +۵ مورد دیگر

Keivan Navaie is a Professor of Intelligent Networks at Lancaster University’s School of Computing and Communications. He serves as a member of the Independent Scientific Advisory Committee at the Alan Turing Institute, overseeing the £100 million BridgeAI programme, and previously as Principal AI Technology Advisor to the UK Information Commissioner’s Office (ICO). He is recognized with Fellowships from the Institution of Engineering and Technology (IET), Chartered Engineer status in the UK, Senior Fellowship of the Higher Education Academy (HEA), and the IEEE Young Investigator Award. Research Focus: Wireless communications, mathematics, artificial intelligence, 6G networks, blockchain technology, edge computing, cognitive radio networks, and non-orthogonal multiple access (NOMA). Supervision: Actively supervises PhD students in areas like wireless communications and mathematical modeling. Projects: Involved in distributed learning, blockchain integration, 6G research, and spectrum sharing systems. Awards: IEEE Young Investigator Award, Fellow of IET, Chartered Engineer, Senior Fellow of HEA.