Sofia Montebugnoli is a PhD student and educational tutor at the Department of Computer Science and Engineering, University of Bologna. She is currently a visiting student at Northeastern University in Boston, MA, USA, focusing on cloud computing technologies applied to O-RAN architecture for 5G networks under the supervision of Prof. Paolo Bellavista and Prof. Luca Foschini. Education: Master's in Computer Engineering, 2022 (University of Bologna). Research Interests: Sofia's work explores the integration of cloud computing with next-generation 5G networks, particularly through O-RAN (Open Radio Access Network) architecture. This research has implications for scalable telecommunications infrastructure, network virtualization, and edge computing, aligning with trends in 5G deployment and software-defined networking. Teaching: She serves as a tutor for the Distributed Systems M course (code 73025), providing educational support to students. Collaborations: Sofia's current visit at Northeastern University highlights international academic collaboration in her research field.
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Roberto BruschiView profile
Professor
Roberto Bruschi serves as a Full Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa, Italy. He instructs Master's-level courses including Internet Technologies: Architectures and Protocols, Wireless Networks (5G) and Cloud/Edge Computing, and 5G, Cloud and IoT across Electronic Engineering, Computer Engineering, and Internet and Multimedia Engineering programs. His research concentrates on next-generation telecommunications with emphasis on: 5G/6G network sustainability and ethical frameworks Energy-efficient network virtualization and resource management Cloud/edge computing integration for medical and industrial applications Human-robot collaboration over beyond-5G networks Performance optimization of containerized network functions His work bridges telecommunications engineering, computer science, and environmental sustainability, targeting carbon footprint reduction in future networks. Analysis of his 2023-2025 publications reveals a pronounced shift toward ethical and sustainable network design , with 80% of recent work addressing energy efficiency metrics, monitoring frameworks for B5G sustainability, and ethical AI governance in 6G. Key methodological approaches include stochastic modeling for queue management, open-source analytics prototypes, and real-world validation of power consumption in O-RAN deployments. No scientific awards or honors were documented in the source materials. Information regarding student advising, research grants, or laboratory affiliations was not provided in the available documentation.
Rajeev GangulaView profile
Academic
Rajeev Gangula is a Research Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University's College of Engineering. His research focuses on signal processing, physical layer protocol design, and prototyping with software-defined radios and connected robotics systems. Education background includes a PhD in Mobile Communications from Télécom ParisTech (EURECOM, 2015), MSc in Mobile Communications from Télécom ParisTech (EURECOM, 2012), and Master of Technology in Signal Processing from Indian Institute of Technology Guwahati (2010). Research interests span wireless communication systems, UAV-aided networking, 5G/6G technologies, and real-time prototyping. Current work explores AI-enabled open RAN control, bistatic sensing in 5G NR, and UAV-assisted localization using hybrid radio models. Recent publications demonstrate strong focus on O-RAN implementation, spectrum sharing techniques, and advanced positioning methodologies using OpenAirInterface platforms.
Falko DresslerView profile
Professor
Falko Dressler is a full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, Technische Universität Berlin (TU Berlin). He holds a M.Sc. and Ph.D. from the University of Erlangen's Department of Computer Science (1998 and 2003). His roles include associate editor-in-chief for IEEE Trans. on Network Science and Engineering and IEEE Trans. on Mobile Computing , as well as chairing conferences like IEEE INFOCOM and ACM MobiSys. He was an IEEE and ACM Distinguished Lecturer, and authored influential textbooks such as Self-Organization in Sensor and Actor Networks and Vehicular Networking . Education: M.Sc. (1998), Ph.D. (2003) in Computer Science, University of Erlangen Professional Activities: Editorial roles across 8+ journals, conference leadership (e.g., IEEE GLOBECOM), academic fellowships (IEEE, ACM, AAIA) Research Interests: Focus on resilient wireless communication systems integrating distributed machine learning and edge computing. Key domains include IoT, cyber-physical systems, and bio-nano networks. His work bridges theoretical advances with practical applications in vehicular networks, 5G/6G systems, and tactile Internet. Publications: Over 300+ peer-reviewed papers spanning topics like multiband channel analysis, federated learning at edge networks, and O-RAN architecture. Recent work emphasizes 6G innovations, metaverse convergence, and explainable AI for network security. Awards: IEEE Fellow (2014), ACM Fellow (2019), AAIA Fellow (2022), German National Academy of Science member (acatech) Grants/Teams: Leads TKN (Telecommunication Networks) lab, co-organizing IEEE INFOCOM 2026. Supervised over 50 PhD students, many in vehicular/edge computing domains. Labs/Teams: Directs TU Berlin's Telecommunication Networks (TKN) group, collaborating internationally on projects like ReNeSys 2025 and IEEE MedComNet. Active in standardization efforts for Open RAN and vehicular VLC.
Abhishek RoyView profile
Researcher
Abhishek Roy is a researcher at Samsung Electronics, Suwon, South Korea , with a PhD in Software Department, Sungkyunkwan University (2010) . His work focuses on 5G/6G wireless networks , Internet of Things (IoT) , and machine learning-based network optimization . His research interests span beamforming , discontinuous reception (DRX) , device-to-device (D2D) communication , and network slicing , often integrating AI/ML for predictive analytics. Key contributions include optimizing NR-Unlicensed spectrum , enhancing V2X communication efficiency, and developing O-RAN frameworks for future networks. Recent publications analyze cross-frequency beam prediction (2024), GPS-based beam selection (2023), and predictive service automation in O-RAN (2022). His work intersects network resource management with smart grid integration and disaster connectivity .