جست‌وجوی استاد و پژوهشگر

Michele Poleseمشاهده پروفایل

استادیار

• Open RAN
• 5G/6G Wireless Networks
• mmWave Networks
• +۳ مورد دیگر

Michele Polese is a Research Assistant Professor at the Institute for the Wireless Internet of Things (WIoT) and the Department of Electrical and Computer Engineering at Northeastern University in Boston. He holds a Ph.D. from the University of Padova (2020) and has conducted research visits at NYU, AT&T Labs, and Northeastern. His work focuses on 5G/6G wireless networks, O-RAN, mmWave/terahertz systems, spectrum sharing, and open-source networking. He leads projects funded by NTIA, O-RAN Alliance, NSF, and others. Education: Ph.D. in Information Engineering, University of Padova (2020) Visiting Researcher at NYU, AT&T Labs, and Northeastern University Research Interests: Polese specializes in Open RAN architectures , 6G wireless systems , and mmWave technologies . His work includes developing protocols for spectrum sharing between active/passive users, contributing to O-RAN technical specifications, and creating tools like Colosseum (a digital twin testbed). He also focuses on AI-driven network control and security for O-RAN systems. Key Projects: AutoRAN: Automated Open RAN Testing (CHIPS Act funding) Dynamically Adjustable Spectrum Sharing (NSF-funded) Open6G testing center and O-RAN Gym development Awards & Recognition: 2022 Mario Gerla Award for Research in Computer Science ISSNAF Young Investigator Award (2022) Best Paper Awards (CNSM 2024, VNC 2024) Labs & Teams: He leads the Wireless Networks and Embedded Systems Lab at Northeastern, focusing on experimental platforms like Colosseum and OpenRAN Gym. His team collaborates with industry partners on standards and testbeds.

• Wireless Communication
• 5G/6G Networks
• Internet of Things (IoT)
• +۳ مورد دیگر

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 .

• Computer Science
• Cybersecurity
• Artificial Intelligence
• +۳ مورد دیگر

Selim Yilmaz is a faculty member at the Faculty of Engineering , Mugla Sıtkı Koçman University , serving in the Department of Software Engineering . With a PhD in Computer Engineering from Hacettepe University, he teaches courses including Deep Learning, Advanced Programming, and Information Security. His editorial roles span journals like PLOS ONE and Expert Systems With Applications . Research Interests : Selim Yilmaz focuses on Cybersecurity for Internet of Things Evolutionary Computation Machine Learning Applications Network Protocol Optimization Heuristic Algorithm Development Publication Trends reveal expertise in intrusion detection systems (IDS) for IoT environments, federated learning approaches, and evolutionary algorithm applications. His work spans interdisciplinary domains from dental diagnostics to industrial security. Scientific Contributions include Editorial board memberships (2016-2024) 11+ international conference presentations Key projects: CoCoIDS collaborative IDS framework Development of Electric Fish Optimization algorithm

Constandinos Mavromoustakisمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Mobile and Wearable Computing
• Wireless Communications
• +۳ مورد دیگر

Constandinos Mavromoustakis is a Professor at the Department of Computer Science, University of Nicosia (School of Sciences and Engineering). He leads the Mobile Systems Lab (MOSys Lab) and holds leadership roles in IEEE, including Vice-Chair of the Cyprus Section and Chair of the Computer Society Chapter. He actively contributes to IEEE Communications Society committees and standardization groups like IEEE-SA SCC42 WG2040. Education includes: Dipl.Eng in Electronic and Computer Engineering from Technical University of Crete MSc in Telecommunications from University College London PhD from Aristotle University of Thessaloniki His research integrates Mobile Systems, IoT, and Wireless Communications, with emphasis on: 5G/6G network security using AI-driven strategies Resource optimization in cloud-edge ecosystems UAV-assisted networks for critical infrastructure Healthcare applications via IoMT and data analytics Recent publications (2024-2025) demonstrate strong focus on securing next-gen networks (O-RAN, 6G), optimizing edge computing for VR/IoT, and advancing smart healthcare/cities. Dominant themes include Deep Reinforcement Learning, quantum-inspired optimization, and latency minimization techniques. He participates in EU-funded initiatives including FP7, H2020, Eureka, and national projects. Industrial collaborations include consultancy for Intel Corporation. He directs the MOSys Lab, which researches mobile systems, IoT interoperability, and network security, with projects spanning UAV communications, medical IoT, and sustainable computing.