IEEE SB Universitas Sriwijaya

General Lecture Hello, Young Fighters👋🏻 General Lecture is the inaugural lecture hosted by the IEEE Student Branch at Universitas Sriwijaya. It aims to provide information and insights to the audience through presentations and interactive sharing sessions, fostering engagement between speakers and listeners. Artificial intelligence and unlimited internet access make life increasingly connected and intelligent. Like an invisible veil, this technology infiltrates every aspect of our lives, speeding up communication, providing timely information, and opening the door to endless possibilities.💡🌃 We are very excited to announce series 1 with the theme Changing everyday life: The Impact of Artificial Intelligence and the Internet.🛰️✨ Event details: 👤: Ir. Prof. Dr. Leong Wai Yei, INTI (International University & colleges), Malaysia 📆 : Saturday, February 17, 2024 🕙 : 09.00 - finished 📍 : Zoom Meeting 📌 : https://bit.ly/generallectureseries1 Don't forget to mark your calendar for this event, so you don't miss it!🗓️🌠 Regards, IEEE SB UNSRI 2024 General Lecture

Austin ComSoc/SP/CtSoc and Computer/EMBS joint chapters would like to invite you to attend a special VDL talk on "AI Based Zero Energy Communication in 6G” Speaker: Prof. Sinem Coleri, Koc University (Turkey) Abstract —————- Supporting low- or zero-energy machine type devices through the incorporation of energy harvesting technologies in 6G is expected to reduce frequent battery replacements as well as sustaining the operation of battery-less devices. The nodes can harvest energy from natural sources, such as sun, vibration and pressure; inductive and magnetic coupling; and radio frequency (RF) based wireless energy transfer. The complexity of the integration of energy harvesting into communication system design is increasing with the wide variety of the requirements of massive machine type communication scenarios in terms of reliability, delay and throughput. This high complexity can only be handled by the usage of AI techniques to continuously monitor the system knowledge and update the optimal communication and energy harvesting parameters accordingly. In this talk, novel optimal resource allocation algorithms are presented for low- or zero-energy machine type devices based on the usage of AI techniques. The wireless communication network and energy harvesting parameters are mapped to the optimal resource allocation by using deep neural networks. Bio —— Sinem Coleri is Professor in the department of Electrical and Electronics Engineering at Koc University. She is also the founding director of Wireless Networks Laboratory (WNL). Her research interests are in wireless communications and networking with applications in machine-to-machine communication, sensor networks and intelligent transportation systems. Sinem Coleri received the BS degree in electrical and electronics engineering from Bilkent University in 2000, the M.S. and Ph.D. degrees in electrical engineering and computer sciences from University of California Berkeley in 2002 and 2005. She worked as a research scientist in Wireless Sensor Networks Berkeley Lab under sponsorship of Pirelli and Telecom Italia from 2006 to 2009. Since September 2009, she has been a faculty member in the department of Electrical and Electronics Engineering at Koc University. Dr. Coleri has more than 180 peer-reviewed publications with citations over 8900 ((https://scholar.google.com/citations?user=XhV0a1UAAAAJ&hl=en)). She has received numerous awards and recognitions, including TUBITAK (The Scientific and Technological Research Council of Turkey) Incentive Award and IEEE Vehicular Technology Society 2020 Neal Shepherd Memorial Best Propagation Paper Award in 2020, College of Engineering Outstanding Faculty Award at Koc University and IEEE Communications Letters Exemplary Editor Award as Area Editor in 2019, Turkish Academy of Sciences Distinguished Young Scientist (TUBA-GEBIP) in 2015. Dr. Coleri has been Area Editor of IEEE Communications Letters and IEEE Open Journal of the Communications Society since 2019, Editor of IEEE Transactions on Vehicular Technology since 2016 and Senior Editor of IEEE Access since 2022. She is an IEEE Fellow. Zoom info will be issued to all that registered. For any additional information, please send an email to F. Behmann at [email protected] Virtual: https://events.vtools.ieee.org/m/321886

We invite you to a three-day hands-on machine learning workshop organized by the IEEE student branch at INRS-EMT and IEEE Montreal section. We virtually host Dr. Pedram Abdolghader, a research and development scientist at Few-Cycle Inc., to interactively learn about machine learning with Python. Basic knowledge of programming and familiarity with Python language is required. Speaker(s): Dr. Pedram Abdolghader , Agenda: 1st Day Date: Sep 14, 2022 17:00-19:00 (Montreal time) Introduction to Machine Learning linear regression cost function gradient descent optimization generalization overfitting/underfitting feature engineering a practical example of linear regression in Python :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 2nd Day Date: Sep 15, 2022 17:00-19:00 (Montreal time) K-mean clustering algorithm Principal Component Analysis Python practice (implementation of k-mean clustering and PCA in Python) :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 3rd Day Date: Sep 16, 2022 17:00-19:00 (Montreal time) Introduction to Neural Network Convolutional Neural Network Denoising Autoencoder Using Autoencoder to classification Application of Convolutional Autoencoder in Raman Microscopy Virtual: https://events.vtools.ieee.org/m/320345