tinyML Meetups on May 25, 2023 “tinyML So.Cal Presents IN-PERSON Meetup: Tiny Machine Learning and its future"

We held tinyML IN PERSON Meetup in Southern California on May 25th, 2023.


Tiny Machine Learning (TinyML) and its future
Date: 25 April, 2023
Time: 5 pm - 6:30 pm PT
Venue: Infineon Technologies, 7565 Irvine Center Dr, Irvine, CA 92614

The TinyML SoCal Chapter is excited to bring you the first in person meetup with a panel discussion on “Tiny Machine Learning (TinyML) and its future”. The panel consists of industry veterans with deep knowledge of building tinyML products in the areas of speech, computer vision and radar. The panel discussion will be followed by plenty of time for networking and food!

*Moenes Iskarous is Chief Technology Officer at Infineon Technologies. *

Mouna Elkhatib, CEO, CTO, and Co-Founder of AONDevices, Inc., is an innovative and passionate entrepreneur who successfully grew AONDevices into one of the leading Edge AI providers. An industry expert in voice and audio processing, Mouna has over 20 years of experience in semiconductor technology with a successful track record in both engineering and leadership. Prior to AONDevices, Mouna architected and led the development of cutting-edge voice and audio semiconductor solutions for smartphones, PCs, smart speakers, and Internet of Things (IoT) at Qualcomm and Conexant. Mouna serves on the Global Semiconductor Alliance Women’s Leadership Council, runs the WLI Entrepreneurial Committee and is a member of several industry organizations and actively contributes to the advancement of Edge AI. She holds an engineering degree from Ecole Nationale Supérieure d’Electricité et de Mécanique (ENSEM), thirteen US patents and fourteen pending patents…

Avik Santra received his M.S. (Hons) in signal processing from Indian Institute of Science and Ph.D in electrical, electronics, and informatics from FAU University of Erlangen, Germany. He is currently principal machine learning engineer responsible for developing system solutions for Wi-Fi, image and radar/depth sensors at Infineon, Irvine. Earlier in his career, he has worked as system engineer at Broadcom and research engineer at Airbus. He is associate editor at ‘IEEE Sensors Journal’ and ‘Elsevier Machine Learning with Applications’. He is co-author of two books on Deep Learning for mm-wave radars published at Artech and Wiley-IEEE. He is TPC at several conferences (ICMLA, RWW, Conasense), and has delivered 20+ invited talks at different venues. He has filed over 70 patents (38+ granted sofar) and published over 65 research papers. He is a senior member of IEEE.


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