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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.

• Telecommunications
• Wireless Networking
• Energy-Efficient Network Design
• +3 more

Aamir Mahmood is an Associate Professor at the Department of Computer and Electrical Engineering at Mid Sweden University and an Adjunct Professor at NUST, Pakistan. His research focuses on 5G/6G wireless communication , Industrial IoT , RF interference management , and time synchronization . Education: B.Sc. NUST (2002), M.Sc. and Ph.D. Aalto University (2008, 2014) Collaborations: Nokia Research Center, IEEE Sweden VT-COM-IT His recent work explores STAR-RIS for 6G IoT, NOMA for industrial networks, and deep reinforcement learning in MEC systems. Key trends include ultra-reliable communication for industrial automation and interference management in heterogeneous networks. Awards : IEEE WCNC’13 Best Paper Ericsson Research Foundation Grant Nokia Foundation grant STINT grants IEEE Sweden VT-COM-IT Best Student Journal Paper Award Swedish Institute funding Interreg Aurora funding Awarded 80+ peer-reviewed publications and active in IEEE leadership roles.

• Wireless Communications
• Industrial IoT
• 5G/6G Networks
• +4 more

Qi Luo is an Assistant Professor in the Department of Business Analytics at Tippie College of Business, University of Iowa. His research focuses on developing data-driven decision-making models in supply chain management, emerging mobility services, and healthcare systems, alongside designing efficient algorithms for online learning, dynamic games, and nonlinear optimization. Education: While specific educational background details are not provided in the text, Dr. Luo's extensive research portfolio and academic position suggest advanced training in operations research, business analytics, or related quantitative fields. Research Interests: Core Areas: Data-driven decision making, supply chain optimization, urban transportation systems, healthcare operations Methodological Focus: Online learning algorithms, dynamic game theory, stochastic optimization, nonlinear programming Application Domains: Emerging mobility services (ride-sharing, autonomous vehicles), multimodal transit systems, inventory management with fixed costs, clinical trial optimization Research Impact: Dr. Luo's work spans from theoretical algorithmic developments to practical applications in transportation and healthcare. His publications demonstrate a consistent focus on solving real-world problems through advanced optimization techniques, with particular emphasis on stochastic modeling and learning-based approaches. The research addresses critical challenges in modern transportation systems including ride-pooling, multimodal transit, and autonomous vehicle operations, as well as healthcare applications like clinical trial design and robotic surgery optimization. Scientific Recognition: TRB Kikuchi-Karlaftis Best Paper Award INFORMS APS Best Student Paper (finalist) IEEE I-Sim Best Student Paper Award Research Funding & Support: Principal Investigator: "Early-Stage Clinical Trials with Patient Choice" - National Science Foundation (NSF), funded June 2023 - August 2026 ($XXX,XXX) Investigator: "Exploring Passenger-Parcel Comodality Transportation in Rural Regions" - Tippie College of Business, funded March 2025 - February 2026 Professional Affiliations: Dr. Luo maintains active memberships in leading professional organizations including the Association for Computing Machinery (ACM) since 2020, Institute of Electrical and Electronics Engineers (IEEE) since 2019, and Institute for Operations Research and the Management Sciences (INFORMS) since 2015.

• Supply Chain Management
• Urban Transportation
• Emerging Mobility Services
• +8 more

Claudia Rinaldi is a Post Doctoral Researcher at the Faculty of Engineering , University of L'Aquila , with a focus on telecommunications and signal processing. She contributes to projects involving Wireless Sensor Networks (WSN) , Software Defined Radio , and Cognitive Radio applications in both engineering and artistic domains. Doctorate in Wireless Communications (2009, University of L'Aquila) Master's in Electronic Engineering (cum laude) with thesis work at KTH Stockholm Trumpet graduate from Conservatory of Music "A. Casella", L'Aquila (2006) Her research spans physical layer protocol design , WSN applications in electronic music , and MAC layer optimization for WiMax. Key projects include: RFSounding : Interactive installation converting radio frequencies to audible sound Homeland Security : Wireless perimeter monitoring systems SMILING : Home automation sensor technologies VISION : 3D video sensing with UWB radios She has taught Signal Analysis , Wireless Communications , and Electrical Communications , and contributed to book chapters in Technological Innovation and Springer Verlag publications.

• Telecommunications
• Signal Processing
• Wireless Sensor Networks
• +4 more

Douglas M. Blough is a Professor at the Georgia Institute of Technology's School of Electrical and Computer Engineering, where he has served since 1999. He previously held faculty positions at the University of California at Irvine from 1988 to 1999. Dr. Blough directs the Critical Networking Laboratory and has served as the School's associate chair for faculty development since January 2018, including a five-month term as Interim Steve W. Chaddick School Chair in 2021. Dr. Blough's research focuses on wireless networks, distributed computer systems, and computer systems security. His specific interests include healthcare security, mobile and wireless communications, telecommunications, and computer systems and software. He has led 37 federally-funded or industry-sponsored research projects with over $8 million in funding, including current NSF grants for next-generation wireless networks exploring design challenges for networks operating in the millimeter-wave bands. His recent scholarly work demonstrates a strong emphasis on millimeter-wave communications, intelligent reflecting surfaces, and next-generation wireless LAN technologies. His publications reveal a progression from foundational work in dependable computing systems to cutting-edge research in wireless networking, with a particular focus on mmWave technology and intelligent surfaces in recent years. His research group has produced numerous award-winning papers, including multiple Best Paper Awards in 2021-2022. Professional Distinctions: Best Paper Award, IEEE International Symposium on Local and Metropolitan Area Networks, 2022 Best Paper Award, IEEE Consumer Communications and Networking Conference, 2021 Associate Editor, IEEE Transactions on Wireless Communications (2020-present) Associate Editor, IEEE Transactions on Cloud Computing (2020-present) Japan Society for the Promotion of Science (JSPS) Faculty Fellow, 1996 NASA/ASEE Faculty Fellow, 1993 Dr. Blough has advised numerous PhD students who now hold positions at leading technology companies including Microsoft, Google, Amazon, Intel, and Huawei. His research has resulted in over 160 archival publications and 10 patents related to wireless communications, bioinformatics, verifiable health records, and identity management. He has held significant leadership roles within his department, including chairing technical interest groups and serving on key committees for faculty development and honors.

• Wireless Networks
• Network Security
• Computer Systems Design
• +5 more

Saurabh Gupta is an Associate Professor in the Electrical and Computer Engineering Department at the University of Illinois Urbana-Champaign (UIUC), where he is based at the Coordinated Science Lab (CSL 319). He previously served as a Research Scientist at Facebook AI Research in Pittsburgh working with Prof. Abhinav Gupta. His educational background includes a PhD in Computer Science from UC Berkeley advised by Prof. Jitendra Malik, and an undergraduate degree in Computer Science and Engineering from IIT Delhi, India. Gupta's research focuses on building intelligent agents that can interact with the physical world, with particular emphasis on computer vision, robotics, and machine learning. His work explores representations that enable physical interaction and learning from active engagement with environments. Key research directions include spatio-semantic and topological representations for visual navigation, skill discovery, learning from videos, and active visual learning. His recent publications reveal a strong trend toward practical robotics applications with an emphasis on real-world deployment. The research spans multiple domains including humanoid robotics, egocentric vision, physical reasoning, and wireless sensing. Significant attention is given to bridging the sim-to-real gap and developing systems that work in practical environments rather than controlled laboratory settings. As an educator, Gupta teaches advanced courses including Deep Learning for Computer Vision (CS 444/ECE 494), Computer Vision (ECE 549/CS 543), and Learning-Based Robotics (ECE 598 SG). Gupta advises multiple PhD students including Arjun Gupta, Shaowei Liu, Aditya Prakash, Xiaoyu Zhang, Runpei Dong, and Xialin He, with former student Matthew Chang completing his PhD in 2024 on Robot Learning from Videos. His research group operates within the Coordinated Science Laboratory at UIUC, collaborating with researchers across computer vision, robotics, and machine learning domains. The group maintains strong connections with industry research labs including Meta AI Research, where former students have pursued research scientist positions.

• Computer Vision
• Robotics
• Machine Learning
• +5 more

Philip Brighten Godfrey is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC) and Technical Director at VMware (formerly Broadcom). He co-founded network verification startup Veriflow, which was acquired in 2019. His research focuses on networked systems, blending theoretical and practical approaches to low-latency networking, software-defined architectures, microservices communication, and machine learning for network optimization. Education: Ph.D. in Computer Science (UC Berkeley, 2009), B.S. in Computer Science (Carnegie Mellon, 2002) His work spans data center design, network verification (e.g., VeriFlow), congestion control (PCC Vivace), and innovative projects like cISP (Speed-of-Light Internet). Recent publications address microservice tracing (TraceWeaver), fault localization (Flock), and XR device offloading (XRgo). Notable awards include the ACM SIGCOMM Rising Star Award, NSF CAREER Award, Sloan Research Fellowship, and multiple best paper recognitions. He has chaired SIGCOMM and HotNets, and his teaching excellence in courses like CS 538 Advanced Computer Networks has been repeatedly recognized. Scientific Honors ACM SIGCOMM Rising Star Award NSF CAREER Award (2012) Sloan Research Fellowship (2014) Best Paper Awards (SIGCOMM, HotSDN, CoNEXT) IEEE ComSoc Data Storage Best Paper Engineering Council Outstanding Advisor Award (2015) Godfrey leads research in the Coordinated Science Laboratory (CSL) and contributes to the LDOS NSF Expeditions project. His group advises Ph.D. students on topics ranging from network verification to XR systems optimization, with alumni now at Meta, Google, and academic institutions like ETH Zurich.

• Networked Systems
• Machine Learning for Networks
• Data Center Networking
• +7 more

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.

• Mobile Networks
• Wireless Networks
• 5G
• +5 more

Iñaki Vazquez Gomez is a Lecturer and Researcher at the University of Deusto , affiliated with the College of Engineering and Department of Computing, Electronics and Communication Technologies . He holds a PhD in Computer Science and Artificial Intelligence (University of Deusto and Lancaster University) and served as Director of Deusto Institute of Technology (2020-2023). His research focuses on Reinforcement Learning , Internet of Things , and Cognitive Robotics , with applications in human-robot interaction and ambient intelligence. Member of European Internet of Things Council Founder of technology startups Editorial board member of International Journal of Ambient Computing and Intelligence His 15 most recent publications (2005-2024) span themes of Autonomous Systems , Context-Aware Computing , and Smart Environments , with subtopics including semantic device communication, adaptive positioning algorithms, and collaborative robotics architectures. 2024: Adaptive Robot Behavior via Reinforcement Learning 2021: Gesture Recognition for Resource-Constrained Devices 2015: Context-Aware Service Matching in AAL Scientific honors include: X Premio UD-Banco Santander de Investigación (2015) Sexenio de Investigación (2018-2025) Profesor Doctor de Universidad Privada (2009-2025) He supervised PhD students like Asier Gonzalez Santocildes and Ignacio Fidalgo Astorquia, while leading grants such as AI-Driven Cognitive Robotics (2021-2024) and Quantum Technologies (2021-2022). His work includes developing middleware for smart spaces and founding the Sentient Things project for self-adapting environmental systems.

• Reinforcement Learning
• Internet of Things (IoT)
• Cognitive Robotics
• +4 more

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.

• Algorithm design and analysis
• Cellular networks
• Connected cars
• +11 more

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.

• Wireless Communications
• Mathematics
• Artificial Intelligence
• +5 more

Audun Jøsang is a Professor of Cybersecurity at the University of Oslo and holds a Visiting Professor position at Queensland University of Technology (QUT) . His work focuses on trust and reputation systems in digital environments, with notable contributions to subjective logic —a mathematical framework for reasoning under uncertainty. Education : MSc in Information Security from Royal Holloway, University of London , MSc and PhD in Telecommunications from Norwegian University of Science and Technology (NTNU) Books : Subjective Logic: A Formalism for Reasoning Under Uncertainty (2016), Cybersecurity: Technology and Governance (2011) His research spans cybersecurity , artificial intelligence , and risk assessment , with applications in online marketplaces , social media , and decision-making under uncertainty . He has developed mathematical models for uncertainty-aware influence propagation and competitive information spread using subjective logic. Audun Jøsang’s work bridges theoretical foundations and industrial applications of computational trust and security analytics . His recent publications explore ethical AI , fair federated learning , and dynamic intelligence assessment for artificial general intelligence development.

• Cybersecurity
• Artificial Intelligence
• Trust and Reputation Systems
• +4 more

Lena Wosinska is a Research Professor at Chalmers University of Technology, specifically in the field of Optical Networks since June 2019. Prior to her current position, she served as a Professor of Telecommunications at KTH Royal Institute of Technology, where she established and directed the Optical Networks Lab.

• optical networks
• 5G transport networks
• energy efficiency
• +5 more

Yao Zhu is a Visiting Professor at the Chair of Information Theory and Data Analytics, RWTH Aachen University . His research focuses on advanced wireless communication systems, particularly in Edge Computing , Ultra-Reliable Low-Latency Communication (URLLC) , and Physical Layer Security , leveraging Finite Blocklength Codes for next-generation network optimization. Key research areas include: Optimization of resource allocation and task scheduling in distributed edge learning and fog computing environments Reliability and energy efficiency trade-offs in Industrial IoT and V2X networks Novel applications of NOMA (Non-Orthogonal Multiple Access) and short-packet communication for secure and fresh data transmission Integration of physical layer deception with semantic reliability models His work explores the interplay between telecommunications and computer science principles to address challenges in low-latency, high-reliability networked systems. The Chair of Information Theory and Data Analytics serves as his academic base, focusing on theoretical and practical advancements in data-driven communication frameworks.

• Wireless Communication
• Edge Computing
• Network Security
• +3 more

Hossein Saidi is a Professor in the Department of Electrical and Computer Engineering at Isfahan University of Technology, Iran. His research spans High Speed Switching Networks, QoS Algorithms in Broadband Networks, Internet Security, Cryptography, Wireless Networks, Information Theory, and Coding. Research Interests: High Speed Switching Networks, QoS Algorithms, Internet Security, Cryptography, Wireless Networks, Information Theory, Coding Email: hsaidi@iut.ac.ir His recent publications focus on Software-Defined Networking (SDN), Blockchain Consensus, Wireless IoT, and Energy Management Systems. Key themes include network optimization, security protocols, distributed systems, and hardware design.

• High Speed Switching Networks
• QoS Algorithms in Broadband Networks
• Internet Security
• +4 more