IEEE International Conference on Cloud Networking
1–3 November 2023 // New York Area, USA


Main Conference Panel

Nov. 2, 4:15 – 5:15 PM, UCC TechFlex B & C

Cloud Networking in Artificial Intelligence/ML and Wireless Networking Era


Emerging technologies, such as 5G/6G and beyond, de-centralized finance, social media platforms, and health and scientific applications, are contributing to the production of massive volumes of data that are processed, routed, and stored in the cloud. This, coupled with artificial Intelligence/Machine Learning (ML), which aims to transform these data into actionable information, will require rethinking cloud networking paradigms for the future. Several questions need to be answered –  What are the most effective solutions we currently employ for efficient data transmission from edge computing to the cloud, inter and intra-cloud networks, training ML models for decision support, and intelligently providing security and privacy? The panel consists of a team of seminal researchers from academia and leaders from DoD that will discuss some critical aspects of wireless communications and artificial intelligence/ML integration into cloud networking, how these challenges are currently addressed with novel research ideas, where we need to be in the near future and how we get there in terms of R&D investments by industry/academia and government/national labs?


Dr. Noor Ahmed (Air Force Research Laboratory-AFRL/RIS)

Noor Ahmed is a Senior Computer Scientist at the Air Force Research Laboratory in Rome NY, since 2003. He holds a BS from Utica College, a MS from Syracuse University, and a PhD from Purdue University, all in computer science.  He has been the technical lead for numerous cloud-based information management and networking, security and privacy, and most recently blockchain and IoT related research projects.  He works closely with government labs, industry, and academia,  for government funded programs/projects.



Dr. Cristian Borcea (New Jersey Institute of Technology)

Cristian Borcea is a Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT) and the Associate Dean for Strategic Initiatives in the Ying Wu College of Computing at NJIT. He also holds a Visiting Professor appointment at the National Institute of Informatics in Tokyo, Japan. His research interests include mobile computing & sensing; vehicular computing & networks; cloud & distributed systems. His current projects focus on ML for mobility and mobile systems for ML. His recent research has been funded by NSF, AT&T, and Qualcomm.


Mr. Jason Bryant (Air Force Research Laboratory-AFRL/RIS)

Jason Bryant is a Senior Supervisory Computer Scientist of the Air Force Research Laboratory at Rome, NY, and has overseen many cloud, networking, and cloud-based information management research as well as administered research roadmaps and strategic plans for investment strategy involving cloud information R&D for Connectivity and Dissemination (CAD) and Command and Control (C2) Core Technical Competencies (CTCs). He has also been an adjunct lecturer at SUNY-Polytechnic University, and authored multiple semantic, information management, cloud information dissemination, and related technical and conference publications.  He currently oversees 25 military and civilian researchers executing research across joint planning, mission adaptive information management, generative AI, ML Battle Management, and many other research initiatives.


Dr. Yu-Dong Yao (Stevens Institute of Technology)

Prof. Yu-Dong Yao has been with Stevens Institute of Technology since 2000. His research interests include information technologies, wireless communications, and artificial intelligence. He is a Fellow of IEEE and National Academy of Inventors.

Workshop Panel

Nov. 3, 11:20 AM – 12:50 PM, UCC TechFlex B & C

Unleashing the Intelligent Continuum: Cross-Domain Cloud Opportunities


 This panel will address various aspects of the next generation of AI-powered edge-to-cloud continuum, including cross-domain continuum management, B5G enablers and applications, the role of AI and emerging security, trust, and privacy challenges.


Luis Cordeiro, OneSource, Portugal


Namseok Ko, Electronics and Telecommunications Research Institute, South Korea

Dr. Namseok Ko is currently a Director leading Mobile Core Network Research Section at Electronics and Telecommunication Research Institute (ETRI). He is also an associate professor at the department of Information and Communication Engineering, University of Science and Technology (UST). He is serving as a Vice-Chair of SG11 and a Rapporteur of Q20 of SG13 in ITU-T. He is also serving as a Vice-Chair of the Technology Committee and the leader of the Network Technology Work Group at 5G Forum Korea. He has participated in various research and development projects including developments of 5G mobile core network technologies since he joined ETRI in 2000. Now he is leading several ongoing projects related to 6G network architecture. His research interests include 5G/6G mobile core network architecture and its enabling technologies, e.g., to support network programmability as well as the convergence of networking and computing.


Slawomir Kuklinski, Orange, Poland

In 1994, Sławomir received a PhD with honours from the Warsaw University of Technology, and since then, he has been an assistant professor. His PhD thesis concerned neural networks (now part of AI). For about 20 years, he also worked for Orange Polska as a Research Expert. At the beginning of his career, he was involved in digital signal processing for military (radar systems) and non-military applications (voice compression and recognition). Later, he worked on wireless mesh networks (MANET), VANET (V2X), and SDN. For about 15 years, he has been involved in research concerning autonomic network management and mobile networks. He is working on network slicing, 5G, 6G and autonomic and cognitive techniques applied to network management and control. As a principal investigator, he was involved in more than ten EU-funded projects, including FP6 MIDAS, FP7 4WARD, FP7 EFIPSANS, Celtic COMMUNE (Cognitive Network Management under Uncertainty), 5G!Pagoda, 5G-DRIVE, 5G!Drones, MonB5G and Hexa-X (6G flagship project in Europe). Actually, he is involved in the Hexa-X follow-up project, Hexa-X-II. He has also been engaged in ITU-T standardization concerning future networks (SG13). Slawomir Kukliński has published more than 90 scientific papers, has been a TPC member of many conferences and has given several invited keynotes.


Kiran Makhijani, Futurewei, USA

Mrs. Kiran Makhijani Kiran Makhijani is Principal Research Scientist at Network Technologies Lab, Futurewei USA. She is responsible for innovations in next-generation network technologies and architecture. Her recent work involves network stack evolution for Industrial IoT enabling OT/IT convergence including other aspects such as decentralization of industrial operations from factory floors to the edge networks. Kiran has contributed to several standards bodies (ETSI, ITU, IETF). Her experience areas cover all things networking such as cloud scale routing, identity-oriented networking, 5G backhaul optimizations and Network Slices. Currently, Kiran is serving as a co-chair of newly formed IETF working group on Stub Network Auto Configuration (SNAC). Ms. Makhijani served as the general chair of the 2018-19 edition of the ACM SIGCOMM Workshop on Networking for Emerging Applications and Technologies and 2020-21 Workshop on New Internetworking Protocols, Architecture and Algorithms (NIPAA).


Jin Nakazato, University of Tokyo, Japan

Jin Nakazato (Student Member, IEEE) received the B.E. and M.E. degrees from The University of Electro Communications, Japan, in 2014 and 2016, respectively. He is currently pursuing the Ph.D. degree with the Department of Electrical and Electronic Engineering, Tokyo Institute of Technology. He is currently working with Rakuten Mobile, Inc. His current research interests include multi-access edge computing, cellular networks, and mm-wave communications. He is a Student Member of IEICE. He received the Best Paper Award from the 11th International Conference on Ubiquitous and Future Networks (ICUFN 2019) in 2019.


Carlos Palau, Politècnica de València, Spain

Carlos E. Palau (Senior Member, IEEE) received the M.Sc. and Ph.D. (Dr.Ing.) degrees in telecommunication engineering from the Universitat Politècnica de València, in 1993 and 1997, respectively. He is currently a Full Professor with the Escuela Técnica Superior de Ingenieros de Telecomunicación, Universitat Politècnica de València. He has over 20 years of experience in ICT research areas in the field of networking. He has collaborated extensively in the research and development of multimedia streaming, security, networking, and wireless communications for government agencies, and defense. He was a Main Researcher with the European Commission of EU-FP6, EU-FP7, and EU-H2020 Programs. He has authored or coauthored over 120 research articles. He is a TPC Member of several IEEE, ACM, and IFIP conferences.



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