KEYNOTE SPEAKERS

Ian Petersen

Australian National University, Australia

Keynote Speech Title:

Will be published soon!!!

Abstract:

Will be published soon!!!

Homepage:

https://cecs.anu.edu.au/people/ian-petersen

Toshio Fukuda

Meijo University, Japan, and the Beijing Institute of Technology, China

Keynote Speech Title:

Will be published soon!!!

Abstract:

Will be published soon!!!

Homepage:

http://www.toshiofukuda.org/index.html

Wei Xu

Huazhong University of Science and Technology (HUST), China

Keynote Speech Title:

Efficiency Improvement for Linear Induction Machine and Drive System Adopted for Urban Transportation

Abstract:

Urban transportation, e.g. linear metro, driven by linear induction machine (LIM) has been paid much more attention both by academic and industrial communities recently for its direct thrust drive, strong climbing ability, flexible line choice, smaller cross-section area, lower noise, etc. However, this system suffers greatly to lower working efficiency in comparison to the rotary IMs due to its cut-open primary (end effect), vertical force resulted from the asymmetric structure, and so on. There exists great difficulty for accurate modeling for LIM influenced by nonlinear circuit and partial magnetic saturation. This speaking will discuss different ways to increase the working efficiency of LIM and drive from design and control. Furthermore, some emerging techniques, like system-level optimization methodology on LIM and drive will be discussed briefly.

Homepage:

http://faculty.hust.edu.cn/xuwei4/zh_CN/index.htm

Professor-Zhiyong-Chen

Zhiyong Chen

The University of Newcastle, Australia

Keynote Speech Title:

Secure Networked Control of Large-Scale Cyberphysical Systems Using Cryptographic Techniques

Abstract:

We present a secure environment for networked control systems composed of multiple dynamic entities and computational control units via networking, in the presence of disclosure attacks.  In particular, we consider the situation where some dynamic entities or control units are vulnerable to attacks and can become malicious. Our objective is to ensure that the input and output data of the benign entities are protected from the malicious entities as well as protected when they are transferred over the networks in a distributed environment. Both these security requirements are achieved using cryptographic techniques. However, the use of cryptographic mechanisms brings additional challenges to the design of controllers in the encrypted state-space; the closed-loop system gains and states are required to match the specified cryptographic algorithms.  We propose a methodology for the design of secure networked control systems integrating the cryptographic mechanisms with the control algorithms. The approach is based on the separation principle, with the cryptographic techniques addressing the security requirements and the control algorithms satisfying their performance requirements. This talk presents the design of private controllers for two typical control problems, namely stabilization and consensus, as well as the discussion of numerical simulations and results.

Homepage:

https://www.newcastle.edu.au/profile/zhiyong-chen

Professor Latifur Khan

Latifur Khan

The University of Texas at Dallas, USA

Keynote Speech Title:

Data to knowledge: Modernizing political event data, social media data and covid19 images using machine learning (ml)

Abstract:

We have developed the software and big data infrastructure to provide machine coded event data from news reports from historical and real-time inputs from the web. The project is ongoing and will produce coded news reports based on Natural language processing (NLP) applications across English, and Spanish news reports. Human annotations and validations are conducted for data validation and cross-lingual support. Geo-location of the events is also improved for better spatial resolutions. One of the main computational challenges we address in this work is related to the efficiency and scalability of parsing online news articles in real-time. In particular, we designed a distributed system with Apache Spark and Kafka to process large amount of news articles for event coders and the actor recommender system. This system processes articles in near real-time while generating events which are provided to end-users using our REST API at http://eventdata.utdallas.edu.

We are developing tools to scrap data from social media (Twitter) to extract actionable information to support first responders for Road traffic injuries (RTI) victims in low and middle-income countries. In the long term, this tool will provide new, low-cost technology based on semi-supervised learning that provides simple, accurate and reliable methods to improve the timeliness and accuracy of RTI reporting, shorten response times, and enhance triage decisions by first responders.  We will demonstrate how this novel semi-supervised learning techniques can be applied to Covid19 image classification.

The event coding work is a collaborative effort with political scientists at UT Dallas, Dr. Patrick Brandt and Dr. Jennifer Holmes, funded by NSF. The extraction of actionable information from social media is collaborative work with the University of Texas Southwestern Medical Center (UTSW), funded by NIH.

Homepage:

www.utdallas.edu/~lkhan

Celia Shahnaz

Chair, IEEE Bangladesh Section & Bangladesh University of Engineering and Technology, Bangladesh

Keynote Speech Title:

Will be published soon!!!

Abstract:

Will be published soon!!!

Homepage:

https://eee.buet.ac.bd/faculty/details/dr-celia-shahnaz

S. M. Muyeen

Curtin University, Australia

Keynote Speech Title:

Will be published soon!!!

Abstract:

Will be published soon!!!

Homepage:

https://research.curtin.edu.au/supervisor/aprof-s-m-muyeen/

Mariofanna Milanova

University of Arkansas at Little Rock, USA

Keynote Speech Title:

Will be published soon!!!

Abstract:

Will be published soon!!!

Homepage:

https://ualr.edu/computerscience/faculty-and-staff/mariofanna-milanova/

Raad Raad

University of Wollongong, Australia

Keynote Speech Title:

Will be published soon!!!

Abstract:

Will be published soon!!!

Homepage:

https://scholars.uow.edu.au/display/raad_raad

Abdullah Al Mamun

National University of Singapore, Singapore

Keynote Speech Title:

Will be published soon!!!

Abstract:

Will be published soon!!!

Homepage:

https://online.ece.nus.edu.sg/staff/web.asp?id=eleaam