(Replay) Machine learning in communication networks

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  • Date
    20 October 2023
    Timeframe
    10:00 - 17:00 CEST Geneva
    Duration
    7 hours
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    This is a replay of a workshop that took place in the ITU on the 5th of July, during the AI for Good Global Summit in Geneva, Switzerland.

    The “Machine learning in communication networks” workshop delves into the rapidly evolving landscape of AI-driven networks, as we journey from 5G to 6G and beyond. It brings together experts from across the industry to discuss the challenges and opportunities that arise from the integration of machine learning and artificial intelligence in network design and operations.

    Through four captivating sessions, attendees will explore the impact of generative AI on network use cases, the future of AI-native open networks, the dilemma faced by operators in choosing the right platforms for 6G, and the integration of AI/ML in 6G and future networks. Experts will discuss the role of standards organizations in this technological transformation, addressing the challenges of data privacy, architecture evolution, and the balance between cloud and edge computing.

    Join us for an engaging and insightful conference, as we examine the transformative potential of AI and machine learning in shaping the next generation of networks, and work together to build a more connected, intelligent, and innovative future.

  • This session starts with an imaginary (?) scenario where generative AI has taken over the networks. Use cases are generated by fine-tuned models, architectures and code, including test code generated by co-pilots and ChatGPT(-likes); digital twins including scenarios and objects are generated by AI-enabled gaming engines; and MLOps pipelines are triggered autonomously. Experts will present their views on the topic, including important challenges such as data collection and modeling in networks, AI-empowered features in 6G and the current state of MLOps. Discussions will focus on questions such as whether networks ready are for this, and identify some of the major areas which need further study including current standards and gaps.

     

    Questions to answer:

    1. Given the recent advances in AI/ML, are networks ready for taking advantage of these? 

    2. How to bring the best advances to networks so that operators and end-users can benefit? what are the integration strategies?

     

    Expected conclusions:

    1. More study is needed in the areas of ........

    2. Practical challenges in ......

    3. Standards gaps in this area are  ....

    In recent years, we have witnessed several advances in network architectures. Networks are becoming more open and decentralized. On one hand, data is increasingly generated, augmented and processed at the edge of the network.  On the other hand, cloud based, scalable compute can enable AI/ML models to infer at high speeds.  Sandbox environments would allow for training machine learning models on edge data while keeping it private and secure while controllers and digital twins are spun up on demand. Many algorithms and AI capabilities are now offered as cloud-based services that can be integrated on demand.

     

    Juxtaposing AI-enabled feature advances in future networks such as beam selection, semantic awareness, RIS-enabled radio optimizations, with the architecture evolution, the standards organizations face the difficult task of choosing the right network architectures, placement of functionalities and level of exposure of data while providing application development capabilities to boost opportunities for innovation.

     

    These considerations present new challenges for future networks such as 6G. To benefit from open networks, edge data, and on-demand models, standards organizations need to carefully consider what are the collaborative working models, especially for proof of concepts which can answer some of these questions. Discussions in this session would focus on some of the important considerations in AI-native design and network architectures which can host those designs.

     

    Questions to answer:

    1. what are the evolutions in network architectures needed for enabling the integration of AI/ML?

    2. What are the techniques to enable generation, collection, utilization of data in networks beyond 5G? 

     

    Expected conclusions:

    1. Collaborative analysis is needed in the areas of ........with ......

    2. PoC studies can mitigate risks in ....

    3. The relevant open source studies are .....

    4. use cases such as ... has data from ... part of the network, which may be extracted via ... interface, models may be trained in ... and deployed in ...

    The 6G vision is shaping up with emerging use cases from metaverse and other user-centric apps. Standards Developing Organizations are marching on with requirements and feature analysis for future networks. This spurs the need for network controllers and agents to manage bandwidth and latency demands from billions of devices. Network platforms spanning software, hardware, cloud and edge with/without GPUs, TPUs, FPGAs and sensors are emerging. Network operators now face a dilemma: what are the right platforms for 6G? Where does enterprise networks come into the picture? Do the major value-adding algorithms, including the network service optimization, become AI-ed and autonomous and move to cloud? The key questions to ponder over are: What platform architectures do we need for this network evolution? What role does open source play in these architectures?

     

    Questions to answer:

    1. what are the platform architectures needed for this?

    2. whats the role of open source in such architectures?

     

    AI/ML is becoming more and more pervasive in 5G and future networks but the realization options for AI/ML integrated use cases appear fragmented from a method, platforms and design view point. This is partly due to heterogeneity in use case requirements, datasets and models. In addition, we face challenges in bringing innovations from lab to networks due to different perspectives between innovators vs. incumbents, open vs. black boxes, models vs. people (developers, service providers, maintainers, operational engineers), architecture evolution vs. leap-frogging across generations, and cloud vs. edge. This brings to focus the unenviable position of Standards Developing Organizations such as ITU which is required to come up with roadmaps, work items for integration of AI/ML in future networks including 6G.

    Questions to answer:

    1. what should ITU and other SDOs do?

    2. Are there pre-standard, activities to look at?

    3. Is the Challenge activities serving the audiences well? what can be done better there?

     

    Expected conclusions:

    1. In collaboration with other SDOs, ITU should study ....

    2. Challenge should focus on ...type of use cases, expand to ....type of data and models.

    3. Papers and code should be published ....more/less... frequently

    Professor
    ,
    The Chinese University of Hong Kong, Shenzhen
    Zhi-Quan (Tom) Luo is the Vice President (Academic) of The Chinese University of Hong Kong, Shenzhen, where he has been a professor since 2014. He is concurrently the Director of Shenzhen Research Institute of Big Data.   Professor Luo received his Ph.D. in Operations Research from MIT in 1989 and his B.S. degree in Mathematics in 1984 from Peking University, China. His research interests lie in the area of optimization, big data, signal processing and digital communication, ranging from theory, algorithms to design and implementation. He served as the Chair of the IEEE Signal Processing Society Technical Committee on Signal Processing for Communications (SPCOM) and the Editor in Chief for IEEE Transactions on Signal Processing (2012--2014), and was an Associate Editor for many internationally recognized journals.   Professor Luo is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Society for Industrial and Applied Mathematics (SIAM). He received the 2010 Farkas Prize from the INFORMS Optimization Society, and the 2018 Paul Y. Tseng Memorial Lectureship from the Mathematical Optimization Society. He also received three Best Paper Awards in 2004, 2009 and 2011, a Best Magazine Paper Award in 2015, all from the IEEE Signal Processing Society, and a 2011 Best Paper Award from the EURASIP. In 2014, he was elected to the Royal Society of Canada. Professor Luo was elected to the Chinese Acadmy of Engineering (as a foreign member) in 2021, and was awarded the Wang Xuan Applied Mathematics Prize in 2022 by the China Society of Industrial and Applied Mathematics.
    China Mobile Chief Scientist, Wireless Technologies
    ,
    China Mobile Research Institute
    <!-- wp:paragraph --> <p>Chih-Lin I is CMCC Chief Scientist of Wireless Technologies. She received Ph.D. EE from Stanford University. She has won 2005 IEEE ComSoc Stephen Rice Prize, 2018 Fred W. Ellersick Prize, and 2015 IEEE Industrial Innovation Award for Leadership and Innovation in Next-Generation Cellular Wireless Networks.<br />She is the Chair of O-RAN Technical Steering Committee and an O-RAN Executive Committee Member, the Chair of FuTURE 5G/6G SIG, the Chair of WAIA (Wireless AI Alliance) Executive Committee, an Executive Board Member of GreenTouch, a Network Operator Council Founding Member of ETSI NFV, a Steering Board Member and Vice Chair of WWRF, a Steering Committee member and the Publication Chair of IEEE 5G and Future Networks Initiatives, a member of IEEE ComSoc SDB, SPC, and CSCN-SC, and a Scientific Advisory Board Member of Singapore NRF.<br />She has 100+ patents, published 200+ Journal and conference papers, and 3 books. Her current research interests center around ICDT Deep Convergence: “From Green & Soft to Open & Smart”.</p> <!-- /wp:paragraph -->
    Professor
    ,
    Fraunhofer Heinrich Hertz Institute (HHI)
    Slawomir Stanczak studied electrical engineering with specialization in control theory at the Wroclaw University of Technology and at the Technical University of Berlin (TU Berlin).  He received the Dipl.-Ing. degree in 1998 and the Dr.-Ing. degree (summa cum laude) in electrical engineering in 2003, both from TU Berlin; the Habilitation degree (venialegendi) followed in 2006. Since 2015, he has been a Full Professor for network information theory with TU Berlin and the head of the Wireless Communications and Networks department at Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI). Prof. Stanczak has been involved in research and development activities in wireless communications since 1997. In 2004 and 2007, he was a Visiting Professor with RWTH Aachen University and in 2008, he was a Visiting Scientist with Stanford University, Stanford, CA, USA. He is a co-author of two books and more than 200 peer-reviewed journal articles and conference papers in the area of information theory, wireless communications, signal processing and machine learning.   Prof. Stanczak received research grants from the German Research Foundation and the Best Paper Award from the German Communication Engineering Society in 2014. He was a Co-chair of the 14th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2013). Between 2009 and 2011, he was an Associate Editor of the European Transactions for Telecommunications (information theory) and an Associate Editor of the IEEE Transactions on Signal Processing between 2012 - 2015 and the chair of the ITU-T Focus Group on Machine Learning for Future Networks including 5G from 2017 - 2020. Since 2020, Prof. Stanczak is chairman of the 5G BERLIN association and an Editor of the IEEE Journal on Selected Areas in Communications for the special issue “Machine Learning in Communications and Networks”. Since 2021 he is coordinator of the 6G Research & Innovation Cluster and the flagship project CampusOS.
    Professor
    ,
    Universitat Pompeu Fabra (UPF)
    <span lang="en-US">Francesc is a Tenure Track Professor at Universitat Pompeu Fabra (UPF). Previously, he was with Nokia Bell Labs and Centre Tecnològic de Telecomunicacions de Catalunya (CTTC). His main research interests are in Wi-Fi technologies and their evolution, network simulators and network digital twinning, machine learning, decentralized learning, and distributed ledger technologies.</span>
    Research Manager
    ,
    EU SNS-JU 6G-MIRAI-HARMONY project
    Henning Sanneck is a research manager wireless technology at Apple. After he received his Dr.-Ing. (PhD) degree in Electrical Engineering from the Technical University of Berlin in 2000, Henning joined Siemens - Mobile Networks, becoming an Innovation Project Manager in 2003. In 2007, at the formation of Nokia Siemens Networks, he started to lead a line team creating Self Organizing Networks (SON) concepts and demos. Since 2009 Henning and his team worked to apply Analytics and Machine Learning technologies to Radio Network Management using network data- and simulation-based approaches. In 2014/15, as Head of Cognitive Network Management, he also was the coordinator of the research & standardization work, including strategy development and technology transfer. From 2016 to 2022 Henning acted as Research Department Head for 5G/6G Network Automation, providing vision, strategy, concepts and IPR to support Nokia's 3GPP and ETSI standardization efforts (with his department continuously involved in nationally (BMBF) and internationally (EU) funded research projects). Henning published 80+ papers and has 35 patents granted or published. He was co-editor of the book "LTE Self-Organizing Networks" (2011) and co-author of the book "Towards Cognitive Autonomous Networks" (2020).
    Researcher
    ,
    Telefonica Research
    José Suárez-Varela is an Associate Researcher at Telefónica Research. Prior to this, he was a postdoctoral researcher at the Barcelona Neural Networking center (BNN-UPC). He holds a Ph.D. in Computer Science from the Universitat Politècnica de Catalunya (UPC), in 2020, and a B.Sc and M.Sc. degrees in Telecommunication Engineering from the Universidad de Granada (UGR). He was co-Principal Investigator of the IGNNITION project (H2020 NGI POINTER), and main organizer of the Graph Neural Networking challenge, an international competition organized as part of the ITU AI/ML in 5G challenge. During 2019, he was a visiting researcher at the University of Siena, Italy, under the supervision of Prof. Franco Scarselli. His main research interests are in the field of Deep Learning for Mobile Networks, including network control and management, traffic monitoring and analysis, and cybersecurity.
    Chief Data Science, R&D, and Strategy Officer
    ,
    OREDATA
    Salih Ergüt is the Chief Data Science, R&D, and Strategy Officer at OREDATA, a consultancy firm providing cloud, big data, and data science services to various sectors, such as financial services, e-commerce, gaming, telecom, manufacturing, retail, oil and gas, and public sectors. With more than 20 years of experience in the IT and telecommunication domains, he has worked for various service and solution provider companies, including Ericsson Wireless, Aware, NextWave, and Turk Telekom Group. In addition to his professional work, he is also involved with the International Telecommunications Union (ITU), currently serving as the Vice Chairman of the focus group on "Autonomous Networking," and previously serving as the Vice Chairman of the focus group on "Machine Learning for Future Networks including 5G." He holds a Bachelor's degree in Electrical Engineering from Bilkent University, a Master's degree in Electrical and Computer Engineering from Northeastern University, and a Ph.D. in Electrical and Computer Engineering from the University of California San Diego. His research interests include wireless communications, machine learning, big data technologies, network automation, and the explainability of machine learning algorithms.
    Director of standard and open source planning
    ,
    ZTE
    <span class="NormalTextRun BCX4 SCXW148906483">Wei Meng </span><span class="NormalTextRun ContextualSpellingAndGrammarErrorV2 BCX4 GrammarErrorHighlight SCXW148906483">is</span><span class="NormalTextRun BCX4 SCXW148906483"> the director of standard and </span><span class="NormalTextRun ContextualSpellingAndGrammarErrorV2 BCX4 SCXW148906483">open-source</span><span class="NormalTextRun BCX4 SCXW148906483"> planning at ZTE Corporation for more than 10 years. Wei is an active Project Team Lead (PTL) of OF-CONFIG in </span><span class="NormalTextRun SpellingErrorV2 BCX4 SCXW148906483">Opendaylight</span><span class="NormalTextRun BCX4 SCXW148906483">. He is mainly engaged in pre-research and development on Networking and AI. He also has </span><span class="NormalTextRun ContextualSpellingAndGrammarErrorV2 BCX4 SCXW148906483">a rich</span><span class="NormalTextRun BCX4 SCXW148906483"> experience </span><span class="NormalTextRun ContextualSpellingAndGrammarErrorV2 BCX4 SCXW148906483">in</span><span class="NormalTextRun BCX4 SCXW148906483"> SDN, NFV, IPv6, SFC.</span>
    Lead Technology Standardization and Evolving Technologies
    ,
    du UAE
    Telecommunication Standardization subject matter expert with +25 years of experience. Leading cross-functional projects coordinating with global key partners, vendors, and customers. Interfacing the cooperation from standardization point of view with global Tier 1 telecommunication industry players and global Standardization bodies GSMA, GCF, ITU, ETSI, 3GPP, LCA and MetaVerse Standardization Forum. An expert level in Project management and product management, besides International Business management. Leading the Technology standardization involvement as a technology standards expert interfacing with GSMA, GCF, ITU, ETIS, 3GPP, LCA, MetaVesre Standardization Forum.   Mr. Abdeldayem, started his career at Siemens Germany as an R&D MSC, student for Chipset and terminal development. Moved to automotive industry working for BMW and Audi (Germany). Shifted back to Telecommunication branch as consultant expert with o2 Germany. Managing cross functional accounts, building the strategy demand for Technology and  Business divisions. Mr. Abdeldayem, has a wide expertise in creating strategy and roadmap for the company terminal portfolio. His next career section was Telefonica Germany developing and managing E2E terminal portfolio for Telefonica Germany end user including software engineering, Requirements engineering, managing Tier 1 key Terminal vendors. Mr. Abdeldayem has an expert level know-how in Telecommunication technologies, such as LTE, VoLTE, VoWiFi,5G NSA -SA, e-SIM, LiFi, Smart City deployments, Internet of Things, AI, ML, LiFi standardization, and  MetaVerse Standardization.   He is Winner of the 1st place Innovation Prize from du in H H Sheikh Mohammed bin Rashid Al Maktoum Innovation Week, Founder of the BE-AT-The Top work process, initiator of the UAE/GCC Profile Initiative and the Initiator of the 5G MENA Conference in cooperation with the Global Certification Forum (GCF).
    Principal Architect
    ,
    Red Hat
    Karim Rabie is an ICT Architect with 18 years of experience in diverse fields of Networks, Mobility, OSS, Cloud & Orchestration domains. He currently holds the position of Principal Telco Architect at Red Hat, with previous Technical and consulting roles at NEC, Netcracker, Tech Mahindra, STC, Nokia, Huawei, Equinox, & Orange. He is recognized as one of the Telco industry leaders with solid community contribution delivering numerous Webinars and Sessions focusing on Cloud, 5G, AI, & Digital Transformation, in addition to being a former member of multiple working groups such as OPNFV End-user Advisory Group, ETSI NFV Network Operators Council, ITU 5G Machine Learning Focus Group, & CNTT Edge Working Group.
    Lecturer
    ,
    University of Glasgow
    Paul Harvey is a lecturer in Autonomous Systems at the <a href="https://www.gla.ac.uk/schools/engineering/" target="_blank" rel="noopener">James Watt School of Engineering</a>, University of Glasgow. Here, he is exploring the cross-section of technologies and skills required for safe and meaningful fully-autonomous behaviour of both design and operation. Additionally, he is a working group co-chair in the UN’s ITU-T <a href="https://www.itu.int/en/ITU-T/focusgroups/an/Pages/default.aspx" target="_blank" rel="noopener">Focus Group on Autonomous Networks</a> and a visiting researcher at the <a href="https://www.strath.ac.uk/science/computerinformationsciences/" target="_blank" rel="noopener">University of Strathclyde</a>. Paul also possess extensive experience in industrial research, where he was co-founder and research lead of the <a href="https://netlab.mobile.rakuten.co.jp/" target="_blank" rel="noopener">Rakuten Mobile Innovation Studio</a>, and is a strong believer in open and collaborative research.
    Programme Coordinator
    ,
    International Telecommunication Union (ITU)
    Thomas BASIKOLO is Programme Coordinator in the Study Groups and Policy Department of the ITU Telecommunication Standardization Bureau (TSB). He coordinates and manages the AI for Good’s Machine Learning activities (including ML5G), is ITU lead of the Green Computing Pillar of the Green Digital Action, and is an advisor to the ITU-T Focus Group on AI-Native Networks. Prior to joining ITU, he worked as a Research Engineer in the Engineering Department of Microwave Factory Co., Ltd, Tokyo, Japan. He received a PhD in Electrical and Computer Engineering from Yokohama National University, Japan. He is recipient of multiple Best Paper Awards, the IEEE AP–S Japan Student Award and the Young Engineer of the year award by IEEE AP–S Japan in 2018. He has co-authored peer-reviewed journal and conference papers, predominantly in the areas wireless communications and antenna engineering. He serves as a Reviewer of IEEE and IEICE Journals. His interests includes, machine learning, deep learning, artificial intelligence and network science, and their applications in wireless networks as well as how technology can be used to advance the UN SDGs.
    Independent Research Consultant
    ,
    International Telecommunication Union (ITU)
    Vishnu has hands-on experience in the field of Telecom industry for more than 25 years, developing and implementing standards, and holds many international granted patents. Vishnu currently works as an independent consultant, is a Vice Chair of ITU Focus Group on Autonomous Networks and the co-convener of ITU Correspondence Group on datasets. Previously, he was a co-editor of ITU-T Focus Group specifications on Machine learning in 5G. His current passion includes coordinating standards initiatives, industry bodies, open source and academia, mentoring student projects and coordinating the ITU “AI/ML in 5G“ Challenge across the globe. He also curates and moderates webinars under the ITU Machine learning 5G webinar series and AI for Good. Vishnu was nominated as Scientific Advisory Board Associate (SABA) member of Motorola Networks and is a senior member of IEEE. He holds a Masters degree in Computer Science and Engineering from Indian Institute of Technology, Delhi.
    Assistant Professor
    ,
    Arizona State University
    Ahmed Alkhateeb received his B.S. and M.S. degrees in Electrical Engineering from Cairo University, Egypt, in 2008 and 2012, and his Ph.D. degree in Electrical Engineering from The University of Texas at Austin, USA, in 2016. After the Ph.D., he spent some time as a Wireless Communications Researcher at the Connectivity Lab, Facebook, before joining Arizona State University (ASU) in Spring 2018, where he is currently an Assistant Professor in the School of Electrical, Computer, and Energy Engineering. His research interests are in the broad areas of wireless communications, signal processing, machine learning, and applied math. Dr. Alkhateeb is the recipient of the 2012 MCD Fellowship from The University of Texas at Austin, the 2016 IEEE Signal Processing Society Young Author Best Paper Award, and the NSF CAREER Award in 2021.
    Deputy to the Director and Chief of Telecommunication Standardization Policy Department, TSB
    ,
    International Telecommunication Union (ITU)
    A distinguished engineer, leader, and diplomat; multilingual standardization expert and holder of 23 patents, Tunisian born Dr Bilel Jamoussi is the Deputy to the Director and Chief of Telecommunication Standardization Policy Department at the ITU Standardization Bureau (TSB) in Geneva, Switzerland. His primary mission is to establish international standards to promote universal, meaningful connectivity and champion sustainable digital transformation. He also aims to intensify industry engagement, ensure inclusivity in standards development and adoption, and bolster cooperation with other standardization bodies. Additionally, he is committed to leading in emerging tech discussions, building strategic partnerships, and pursuing organizational excellence. Previously, he was the Chief of the Study Groups Department of ITU Standardization Bureau (TSB) from 2010 and until 31 August 2023. He has led the coordination of the bureau’s standards moving activities into a new era characterized by digital transformation that needs an increased collaboration with vertical sectors such as healthcare, transportation, utility, and banking. His innovative approach has served as a catalyst to launch new standards initiatives related to emerging technologies such as IoT, Blockchain, AI and Quantum, attracting a new wave of memberships from non-traditional players. A standout accomplishment of Dr Jamoussi is his effort in bridging the telecommunications and financial sectors. Through this, he paved the way for the creation of digital payments guidelines and standards that aim to foster financial inclusion on a global scale. Key achievements under his tenure have been important new standards while effectively managing staff by recruiting new talent, improving gender balance, delivering new work methods, and staying within budget. Prior to 2010, he worked in the private sector for 15 years and held senior executive positions such as Director of Standards for Nortel. In this role he participated in over 90 standards making bodies worldwide. In the Internet Engineering Task Force (IETF), he authored a number of Internet standards. As an IEEE Senior Member, he was elected to the IEEE Standards Association (IEEE-SA) Board of Governors and the IEEE-SA Corporate Advisory Group. He holds a BSc, MSc and PhD degrees in Computer Engineering from the Pennsylvania State University, USA. In addition to his many accomplishments, Dr Bilel Jamoussi is a pivotal figure in the global ICT community. He is a sought-after speaker at tech events worldwide like the Global Cybersecurity Forum (GCF), often taking the stage as a keynote speaker or panellist. His expertise and insights are in high demand by media outlets such as Financial Times, resulting in frequent interviews, podcast features, and media appearances. Bilel has lived in Tunisia, Canada, USA, and Switzerland, giving him a unique global viewpoint. He is fluent in Arabic, French, and English and speaks some Spanish and German.
    Director of the Telecommunication Standardization Bureau (TSB)
    ,
    International Telecommunication Union (ITU)
    <span class="ui-provider ur b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak" dir="ltr">Seizo Onoe took office as Director of the Telecommunication Standardization Bureau (TSB) at the International Telecommunication Union (ITU) on 1 January 2023.</span> Before his election as TSB Director by ITU Member States, he completed an over 30-year career with Japanese mobile operator NTT DOCOMO. In 2021, he became Executive Vice President and Chief Standardization Strategy Officer for the Nippon Telegraph and Telephone (NTT) Corporation and a Fellow of NTT DOCOMO, INC. From 2017, he served as NTT DOCOMO’s Chief Technology Architect and President of its subsidiary DOCOMO Technology. Between 2012 and 2017, he served as NTT DOCOMO’s Chief Technology Officer and Executive Vice President, a Member of the Board of Directors, and Managing Director of R&D Innovation Division. Earlier, he served as Senior Vice President and Managing Director of NTT DOCOMO’s R&D Strategy Department and Managing Director of the company’s Radio Network Development Department. As TSB Director, he heads the part of ITU responsible for the coordination of technical standards and collaborative standardization processes that enable the interconnection and interoperability of information and communication technologies (ICTs) worldwide. Mr Onoe is committed to facilitating open and inclusive standardization processes, along with promoting digital technologies to address global issues, building a new ecosystem that reflects evolving technologies, and strengthening cooperation and collaboration in ICT standardization worldwide. Known in the industry as “the father of LTE” (Long-Term Evolution), he helped upgrade the wireless broadband standard for mobile devices and networks. He now aims for global outreach to bridge standardization gaps, deliver the benefits of technology widely and speedily, and ensure meaningful and affordable broadband access for everyone. Mr Onoe holds a Master’s degree in electronics from the Kyoto University Graduate School of Engineering.
    Co-Founder & CTO
    ,
    DeepSig Inc
    <!-- wp:paragraph --> <p>Tim is Co-Founder & CTO at DeepSig Inc, a venture-backed startup building unique AI/ML driven baseband technology which is pioneering the route to the AI-Native 6G RAN, making 4G MIMO and 5 mMIMO vRAN systems performant and autonomous, and pioneering the data-driven sensing and communications intersection with OmniSIG, the state of the art in data-driven wideband RF emission detection, mapping and analytics for vRAN and off-network sensing applications. Tim also serves as a research assistant professor at Virginia Tech in Arlington, VA, and previously worked with a USG lab on applied software and cognitive radio R&D helping lead the GNU Radio project. He is a Co-Chair of the IEEE Emerging Technology Area on Machine Learning for Communications, an editor for Transactions on Wireless Communications and TCCN, and organizer for IEEE SPAWC, IEEE INFOCOM, IEEE GlobeCom, IEEE ICC MLC workshops, GNU Radio Conference, and other events. He has authored of over 50 peer reviewed works with over 4500 citations, over 40 patents on machine learning in wireless communications.</p> <p>Previously he has previously worked with Hawkeye 360, Federated Wireless, Cisco Systems, and Stochastic Research. He has served on technical advisory boards for NSF, DARPA, EU HORIZON 2020, and other USG programs, and he completed his PhD from Virginia Tech ECE in 2017 and his BS/MS in ECE at NC State in 2007.</p> <!-- /wp:paragraph -->
    Professor
    ,
    Federal University of Technology Minna Nigeria
    James Agajo received a Bachelor of Engineering (B.Eng) degree in electrical and computer engineering from the Federal University of Technology Minna, and a Master of Engineering (M.Eng.) degree in electronics and telecommunication engineering from Nnamdi Azikiwe University, with a PhD in telecommunication and computer engineering from Nnamdi Azikiwe University. A former HOD, acting director, and postgraduate coordinator, Dr. James Agajo is presently a professor and Head of the Wireless Communication Network and Intelligent System Research Group at the School of Electrical Engineering, the Federal University of Technology Minna. He has published over 130 articles and received many awards, including IBM AI Analyst Master’s Award, IBM AI Analyst Award, IBM IoT Cloud Developer Award, IBM Blockchain Developer Award, and IBM Telecommunications Insights & Solutions.
    Senior Member
    ,
    IEEE
    Engr Dr. Fidelis Ikechukwu Onah is a Senior Member of the Institute of Electrical Electronic Engineering, Member of the Nigerian Society of Engineers, and a Fellow of the Nigerian Institute of Electrical Electronic Engineering. Dr Onah has an Ordinary National Diploma in Electrical/Electronic Engineering from the Institute of Management and Technology, Enugu, and a Master of Science degree with First Class Honours from the Moscow Technical University of Communications and Informatics, Moscow, Russia (USSR), a Post Graduate Diploma in Computer Science, from the University of Lagos, and a Doctor of Philosophy degree PhD, in Electronic Engineering from the University of Nigeria, Nsukka. Dr Onah worked with Data Sciences Nigeria Limited, and later joined the services of the Nigerian Communications Commission serving in various capacities, in the Spectrum Administration Department heading the Spectrum Planning and Licensing Unit and later the Spectrum Monitoring, Coordination and Interference Resolution Unit. He headed the Human Capital and Infrastructure Group and Special Projects as the Director and later the Department of Technical Standards and Network Integrity also as the Director. He represented the Commission in several technical Committees both within and outside the Country. He is researching in different topics of the Electronics Engineering and he has published several technical papers and delivered several technical papers in Conferences and workshops. He is presently a Senior Lecturer at the Veritas University, Abuja in the Dept of Electronic and Computer Engineering, Faculty of Engineering.
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