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How AI is boosting the Telecommunications Sector
The IEEE Spain Signal Processing and Communications Joint Chapter, in collaboration to its sister chapter IEEE ComSoc Bangalore Chapter, celebrates an industry event under the theme “How AI is boosting the Telecommunications Sector”. The event is part of the Sister Chapters Program of the IEEE ComSoc and will be held at the University of Salamanca. It can be attended onsite and virtually, and will include talks from four industry leaders in the telecommunications sector, including the IEEE SPS Distinguished Industry Speaker Farhan Baqai, from Apple. Don’t miss the opportunity and register now at no cost.
AGENDA
1st part: Onsite session (Salamanca)
• 10:00 – Keynote: “Digital Camera Signal Processing — History, Recent Advances, Challenges, and Opportunities” by Farhan Baqai, Senior Research Manager at Apple Inc., USA
• 10:45: “AI and Blockchain in Telecom: Digitalization of interactions with customers across the value chain” by José Luis Marín, Head of Corporate Digitalization Strategy, Data and AI, Madison MK, Spain
11:30 – Coffee Break
2nd part: Virtual session (Bangalore)
• 12:00: “Convergence of AI and data in Enterprise and Consumer IoT for telco operators – Challenges and opportunities” by Hariprasad Anumala, AVP at Reliance Jio, India
• 12:30: “AI in Telecommunications – challenges and the way forward” by Rahul Soundrarajan, Principal Engineer at Tejas Networks, India
ABOUT THE SPEAKERS
Farhan Baqai
Farhan Baqai earned a M.S. and a Ph.D. degree in Electrical and Computer Engineering from Purdue University. Before that, he received the Master of Engineering Science degree from the University of Melbourne, Australia and the B.S. degree in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan. After his PhD, he worked on halftoning algorithms for inkJet printers at Xerox Corporation and on digital camera image processing at the Sony US Research Center. Currently he is a Senior Research Manager at Apple Inc. where he leads a research group focused on the development of state of the art algorithms for digital photography.
Dr. Baqai’s research and product contributions span digital camera image processing, machine learning, computer vision, stereoscopic image processing, statistical signal processing, digital printing, and radar imaging. He has been the driving force behind several key technologies for Apple and Sony. His algorithms have been implemented in hardware, firmware, and software. Dr. Baqai’s innovations have shipped in more than a billion devices which are being used to capture trillions of images every year.
Dr. Baqai is a Fellow of the IEEE. He is a Deputy Editor in Chief (2023-present) of IEEE Transactions on Image Processing. Dr. Baqai sits on the IEEE Fellow Committee (2024-present) and on IEEE SPS Image, Video, and Multidimensional Signal Processing Technical Committee (2020-present). He served as a Member of IEEE SPS Industry DSP Technology Standing Committee (2007-2014) and was Publicity Co-Chair of 2012 IEEE Conference on Image Processing. Dr. Baqai has authored several peer-reviewed journal articles, conference papers, book chapters, and holds 40 issued US patents with more than 10 US patents pending.
In 2020, the Purdue University Elmore Family School of Electrical and Computer Engineering conferred on him its Outstanding Electrical and Computer Engineer (OECE) award. More details can be found on his LinkedIn page: https://www.linkedin.com/in/farhanbaqai/.
Abstract
In a relatively short period of time, the digital camera has become ubiquitous in our daily lives. The pace at which innovations are being made in this area is remarkable. The exciting aspect is that there is much more to come. In this talk, we review the evolution of digital cameras from camera obscura to film to digital to mobile. Along the way, we identify events that precipitated the change to a digital photography ecosystem. We briefly discuss practices and assumptions that are prevalent in the scientific community and look at a few signal processing solutions that we have developed over the years for problems in digital photography. Using these examples, we demonstrate the multidisciplinary nature of digital camera image processing. We present recent results to show the progress that has been achieved in computational photography on mobile cameras and conclude with challenges and opportunities.
José Luis Marín
Jose Luis Marín is a Telecommunications Engineer (Msc) and holds a degree in Business Management (Bsc). He has more than 25 years of experience in various companies related to consulting, technology, and innovation. He currently works as the Head of Digitalization Strategy, Data, and AI at Madison MK.
He has been acting as an expert evaluator of Research and Innovation projects for the European Commission for more than 15 years and has led more than 18 R&D&I projects based on technologies associated with Cloud computing, Big Data, Data Science, and Artificial Intelligence. On the other hand, he is the author of several publications such as the book “Web 2.0: A simple description of the changes we are experiencing” and co-author of “Open Data: Reuse of public information” (Netbiblo).
He frequently engages in initiatives aimed at fostering innovation and promoting open knowledge, such as those related to the Open Data movement. He has been a speaker at events such as FICOD09, PSI Meeting 2010, 1st EU Digital Agenda Assembly, and at universities such as Oviedo, La Laguna, Murcia, Almería, or Girona, advocating for the release of public sector data in open and reusable formats.
LinkedIn: http://www.linkedin.com/in/joseluismarin
Abstract
In a rapidly evolving digital landscape, the telecommunications industry is leveraging cutting-edge technologies to redefine customer engagement and support. At the forefront of this transformation, Madison MK is driving innovation through its brand Digitel TS, working with telecom sector to enhance operational efficiency, build trust, and deliver better customer experiences.
This keynote will highlight the pivotal role of AI and Web3 technologies in redefining the industry, offering insights into how AI revolutionizes customer journeys with personalization, automation, and proactive service, while Blockchain ensures transparency, security, and digital trust.
Through compelling case studies, including AI-powered digital customer journeys, paperless contracting, and Blockchain-enhanced transaction transparency, we showcase real-world applications and success stories from industry leaders.
Hariprasad Anumala
Hariprasad Anumala, Assistant Vice President – Reliance Jio, leads product and engineering teams for Reliance Jio Smart Home and Enterprise IoT Solutions. He has led product and solution development on connectivity solutions from ideation to scale at Samsung Electronics.
He represented Samsung Electronics in various developer conferences for technical talks on P2P connectivity solutions. He has played a key role in the global deployment of Rich Communication Suite (RCS) service for Samsung, including a demonstration of the world’s first RCS Mobile Client at the Mobile World Congress in Barcelona. I have more than ten patents in IMS, M2M, IoT, and Data convergence areas and have published various papers at IEEE conferences.
Rahul Soundrarajan
Rahul Soundrarajan is a Principal Engineer with Tejas Networks, responsible for solution architecture of RAN Observability, RIC Apps and AI/ML for Radio. Prior to this, he was an entrepreneur and independent research consultant. He has designed, developed and evaluated ML Algorithms for NearRT RIC, Non-RT RIC and network optimization use cases for which he holds several patents. His career spanning 23 years is a rich mix of Systems Architecture and Engineering of 2G-5G RAN, and application of ML in Telecom, Computer Vision and Sensor Fusion.
Abstract
A Telecom network’s primary objectives are to provide global connectivity (voice, data), seamless mobility, vendor-interworking, regulatory compliance, etc.
Since the architecture is purpose built for these objectives, the network data comprising of metrics, alarms, logs, traces and their periodicity are meant for functional validation, health-monitoring, troubleshooting, etc. and less for data driven insights.
AI adoption is expected to enable data-driven decision making, intelligent resource management and reduce operator’s operational costs and increase revenue.
To ride the AI wave, the Telecom ecosystem is rapidly evolving to enable data-exposure, be cloud-friendly, agile, modularized, and have a future-proof architecture for high programmability, adaptability and automation. Evolution paths and adoption strategies are defined for greenfield and brownfield deployments through existing and new forums and alliances.
The talk will cover the growth-pains of this evolution and pointers to the way forward.