Digital signal processing

Harnessing Multi-modal AI and Machine Learning for Next-Generation 6G Networks

Asmaa Abdallah, Research Scientist, Electrical and Computer Engineering

Apr 27, 12:00 - 13:00

B9 L2 R2325

LLM machine learning 6G Wireless communication Digital signal processing

This seminar explores how multi-modal AI and large language models can optimize future 6G wireless networks by integrating diverse data sources to enhance reliability, efficiency, and overall performance.

Ahsan Mehmood

Intern (former), Information Science Lab

IoT Biomedical Signal Processing healthcare Digital signal processing machine learning

Visiting student at King Abdullah University of Science and Technology (KAUST).

Mohammad F. Hashem

M.S. Student, Electrical and Computer Engineering

Digital signal processing CMOS integrated circuits

Asmaa Abdallah

Research Scientist, Electrical and Computer Engineering

Deep learning Digital signal processing Resource allocation Machine learning applications for wireless communication systems

Ahmed Hussain

Ph.D. Student, Electrical and Computer Engineering

Digital signal processing Next generation wireless communications

Ahmed Hussain, (Member, IEEE) received his B.E. degree in Avionics Engineering from NUST University, Islamabad, Pakistan, in 2014 and his M.S. in Avionics Engineering from Aerospace and Aviation Campus, Kamra, Pakistan. Currently, he is pursuing a PhD degree at KAUST, Thuwal, KSA. His research interests include deep learning-enabled near-field communication, digital array signal processing, and wireless communication.