Application of Machine Learning for 6G

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Dr. Adnan Ahmad Cheema from Ulster University will illuminate the groundbreaking applications of machine learning in shaping the landscape of 6G communications. Through a fusion of advanced algorithms and predictive analytics, he will unveil how machine learning revolutionizes spectrum management, network optimization, and resource allocation in next-generation wireless networks. Join us as Dr. Cheema explores the transformative potential of machine learning in unlocking unprecedented speed, reliability, and connectivity, propelling us towards the era of 6G communications.



  Date and Time

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  • Start time: 29 Feb 2024 02:00 PM
  • End time: 29 Mar 2024 02:30 PM
  • All times are (UTC-03:00) Brasilia
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  • DES-CTG-UFPE
  • RECIFE, Pernambuco
  • Brazil 50.740-550

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  Speakers

Adnan Cheema of CH09104 - Northeast Brazil Section Chapter, MTT17

Topic:

Application of Machine Learning for 6G

Dr. Adnan Ahmad Cheema from Ulster University will illuminate the groundbreaking applications of machine learning in shaping the landscape of 6G communications. Through a fusion of advanced algorithms and predictive analytics, he will unveil how machine learning revolutionizes spectrum management, network optimization, and resource allocation in next-generation wireless networks. Join us as Dr. Cheema explores the transformative potential of machine learning in unlocking unprecedented speed, reliability, and connectivity, propelling us towards the era of 6G communications.

Biography:

Dr. Adnan Ahmad Cheema obtained BSc in Computer Engineering from the COMSATS University, Pakistan and MSc in Signal Processing for Communication from the King’s College London, UK. He has a Ph.D. degree in Electronics Engineering from the Durham University, UK, in 2015 and worked in Durham as a postdoctoral research associate on a project funded by OFCOM, UK, dealing with the 5G radio propagation channel measurements and modeling (sub 6 GHz and 24-90 GHz). He joined the Ulster University, UK, as a lecturer (Assistant Professor) in Electronics Engineering. He is currently leading the Sensing and Communication (SenComm) research lab, part of NIBEC research centre. His current research interests include:Wireless Communication and related applications, Channel measurements and modelling, ML-based channel estimation, RIS-assisted networks for sensing and communication,  RF-EMF and health impact, Human blockage and characterisation, Dynamic spectrum access, Machine learning and data analytics. His work has been part of various ITU recommendations (e.g. 1238 and 1411).

Email:

Address:University of Ulster, , Belfast, Ireland