Title: Edge Intelligence in the Internet of Things.
Speaker: Dr. Abhishek Hazra
Venue: Seminar hall, second floor, IEOR Building
Day, Date, Time: Monday, 30th September 2024, 11:30AM-12:30PM
Abstract: The significance of edge computing in the context of the Internet of Things (IoT) lies in its ability to process data near its source, reducing latency, energy consumption, and the demand for intelligent decision-making capabilities. Machine Learning (ML) is a crucial technique that can be employed in edge computing networks to enable intelligent decision-making based on the real-time status of edge devices. However, bringing ML to edge-level devices also poses several new challenges, especially when considering latency-critical IoT applications (such as Industrial IoT). Therefore, in this seminar, I will focus on the open research challenges of integrating edge computing into IoT applications and explore how ML techniques can help address these challenges. The advantages include improved responsiveness, reduced costs associated with data transmission, and enhanced operational efficiency, contributing to the advancement of smart cities and industries.
Brief Bio: Dr Abhishek Hazra is an Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Information Technology Sri City. He was a Postdoc Research Fellow at the Communications and Networks Lab, Department of Electrical and Computer Engineering, National University of Singapore. He has defended his PhD at IIT (ISM) Dhanbad, India. He completed his master's degree in Computer Science and Engineering from NIT Manipur, India, and his bachelor's degree from NIT Agartala, India. His research area of interest is in the field of IoT, Edge Computing, Machine Learning, and Industry 4.0/5.0.