Stochastic Cumulative DNN Inference for Intelligent IoT Applications

        CSE Distinguished Seminar
Speaker: Professor Weihua ZHUANG
         University Professor
         Tier I Canada Research Chair in Wireless Communication Networks
         University of Waterloo

Title:  "Stochastic Cumulative DNN Inference for Intelligent IoT

Date:   Monday, 16 October 2023

Time:   4:00pm - 5:00pm

Venue:  Lecture Theater F
        (Leung Yat Sing Lecture Theater)
        near lift 25/26, HKUST


Artificial intelligence models will continue to be pervasively deployed to
support diverse intelligent Internet of Things (IoT) applications in the
5G/6G era. Many such applications rely on deep neural networks (DNN) for
object classification. In this presentation, DNN inference uses a
pre-trained DNN model to process an input data sample such as raw sensing
data, and generates a classification result. We will discuss when to
offload DNN inference computation from resource constrained IoT devices to
the edge and how to incorporate different contributions from multiple
random DNN inference results to improve task classification accuracy,
while achieving high transmission, computation, and energy resource


Weihua Zhuang is a University Professor and a Tier I Canada Research Chair
in Wireless Communication Networks at University of Waterloo, Canada. Her
research focuses on network architecture, algorithms and protocols, and
service provisioning in future communication systems. She was the
Editor-in-Chief of the IEEE Transactions on Vehicular Technology from 2007
to 2013, General Co-Chair of 2021 IEEE/CIC International Conference on
Communications in China (ICCC), Technical Program Chair/Co-Chair of
2017/2016 IEEE VTC Fall, and Technical Program Symposia Chair of 2011 IEEE
Globecom. She is an elected member of the Board of Governors and the
President of the IEEE Vehicular Technology Society. Dr. Zhuang is a Fellow
of the IEEE, Royal Society of Canada, Canadian Academy of Engineering, and
Engineering Institute of Canada.