IEEE SPS Seasonal School – 2021
The main objective of the Seasonal school is to provide a platform to create awareness on recent developments in Signal Processing and its applications to the latest technological developments. The main focus of this IEEE SPS Seasonal School – 2021, to explore the techniques for 5G. A well-curated course covering the recent advances and latest techniques like low-density parity-check (LDPC) code, application of Artificial Intelligence, and Machine Learning to 5G is an amazing part of the program. Similarly, several novel and innovative applications based on 5G are also included in the lectures’ agenda to allow the participants a wide scope of opportunities in research and career.
The School is opened to the grand fraternity of SPS members throughout the world. Welcomes participation of Ph.D. students, practitioners, UG, and PG students to have a strong focus on signal processing. The lectures and the live online interactions would be the most significant part of the program.
Speakers
Dr. Francisco García-Herrero
Professor, ARIES Research Centre, Universidad Nebrija, Spain.
Dr. Seong Kim
Senior Director and Distinguished Engineer, Data Center Architect at Xilinx, USA.
Dr. Chris Dick
R&D Engineering at the Intersection of 5G and AI at NVIDIA San Jose, California, United States.
Program
Day-1: 13th September 2021
Title of the Lecture: LDPC based Advanced Error Correction Coding and 5G
Day-2: 14th September 2021
Title of the Lecture: LDPC based Advanced Error Correction Coding and 5G
Day-3: 15th September 2021
Title of the Lecture: GPU Acceleration for 5G Signal Processing and Machine Learning
Day-4: 16th September 2021
Title of the Lecture: Building low latency and low power Smart City Applications
Day-5: 17th September 2021
Title of the Lecture: Machine Learning for Next Generation Wireless Communication Systems 5G/6G
Designed by MNV HARSHA VARDHAN