Distinguished Lecture: Jakob Hoydis (Carnegie Mellon University, USA)
Date: 13 February 2024
Chapter: Switzerland Chapter
Chapter Chair: Thomas Mittelholzer
Topic: Digital Twins for Communications: How to create and use them
SPS Distinguished Lectures
Distinguished Lecture: Björn W. Schuller (Imperial College, London)
Date: 14 December 2023
Chapter: Tunisia Chapter
Chapter Chair: Maha Charfeddine
Title: From R2-D2 to Samantha: Artificial Emotional Intelligence Evolved
Distinguished Lecture: KC Santosh (Applied AI Research Lab)
Date: 18-20 October 2024
Chapter: Uttar Pradesh Chapter
Chapter Chair: Satish Kumar Singh
Title: Deep Learning for Medical Imaging Informatics: why explainability matters
Distinguished Lecture: Prof. Woon-Seng Gan (Nanyang Technological University, Singapore)
Date: 26 December 2023
Chapter: Singapore Chapter
Chapter Chair: Corey Manders
Title: Harnessing the Power of Deep Learning for Urban Sound Sensing and Noise Mitigation
Distinguished Lecture: Prof. Woon-Seng Gan (Nanyang Technological University, Singapore)
Date: 30 October 2023
Chapter: Taipei Chapter
Chapter Chair: Jing Ming Guo
Title: Harnessing the Power of Deep Learning for Urban Sound Sensing and Noise Mitigation.
Distinguished Lecture: Yue M. Lu (Harvard University, USA)
Date: 28 November 2023
Chapter: Vietnam Chapter
Chapter Chair: Nguyen Linh_Trung
Title: Exploring and Exploiting the Universality Phenomenon in High-Dimensional Estimation and Learning
Distinguished Lecture: Linda Moore (AFRL, Wright-Patterson Air Force Base, USA)
Date: 18 October 2023
Chapter: North Jersey Chapter
Chapter Chair: Alfredo Tan
Title: Synthetic Aperture Radar (SAR) Signal Processing Challenges and Data Sets for Associated Research
Distinguished Lecture: Jakob Hoydis (Carnegie Mellon University, USA)
Date: 21 November 2023
Chapter: German Chapter
Chapter Chair: Wolfgang Utschick
Topic: Differentiable Tools for Digital Twin Networks
Distinguished Lecture: Yuejie Chi (Carnegie Mellon University, USA)
Lecture Date: 19 October 2023
Chapter: France Chapter
Chapter Chair: William Puech
Topic: Reinforcement Learning meets Federated Learning and Distributional Robustness
