Title : Adoption of Reinforcement Learning for EV charging Station Network Planning and Operations

Date: 09 Nov 2023
Time: 03:30 PM CST to 04:30 PM

Registration : https://forms.gle/vYnhwQFr1Q2zxEDz8

Overview : Dynamic pricing, which aims to dynamically adjust the charging price in a timely fashion to unlock the flexibility of electric vehicle (EV) customers, has been extensively studied with the rapid development of charging technologies. Many existing works on dynamic pricing focus on maximizing the social welfare of charging service providers and EV customers. Cases of high-dimensional charging environments, which are often encountered with the rapid growth of EV market penetration, have been rarely considered to date.

This talk introduces a new dynamic pricing framework for EV charging stations that can offer multiple charging options to customers over a finite time horizon. The charging price can be dynamically adjusted to maximize the quality of service (QoS) with a differentiated service requirement level (SRL) whenever the arrival rates and queuing system capacities of the charging systems are given at the end of a time period. The dynamic pricing problem is formulated as a finite-discrete horizon Markov decision process (MDP) with a mixed state space. A customized deep reinforcement learning (DRL) approach is employed to solve the examined EV dynamic pricing problem. The simulation results demonstrate the effectiveness of the proposed method.

Speaker :  Assoc. Prof. Dr. Carman Lee Ka Man of The Hong Kong Polytechnic University

About Speaker : Carman K. M. Lee (Senior Member, IEEE) received the B.Eng. and Ph.D. degrees from The Hong Kong Polytechnic University, Hong Kong. She is currently an Associate Professor with the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong. She is also the Program Leader of [B.Sc. (Hons.)] Enterprise Engineering with Management. Her main research areas include industrial engineering, enter[1]prise resource planning (ERP), logistics and supply chain management, the Industrial Internet of Things (IIoT), wireless sensor and actuator networks (WSANs), cloud computing, and big data analytics.

Title : Statistical Process Control Charts and Their Potential Applications in Industry

Date : 08 Nov 2023
Time : 02:00 PM to 03:00 PM

Registration : https://forms.gle/WyuHxcWE2AQBAguZ9

Overview : In the fast-paced and data-driven world, understanding the concept of statistical process control (SPC) is indispensable for organisations striving to achieve excellence in quality, efficiency, and productivity. Control charts, a cornerstone of SPC, are powerful tools used to provide visual representations of data and help industrial practitioners make informed decisions.

In this talk, we will discuss how SPC enables organisations to monitor and manage processes with precision, ensuring consistency and minimising variations. We will discuss various types of control charts established for different data and explain how they can be effective in addressing issues with special cause variations.

Our discussion will extend beyond manufacturing, highlighting how control charts are applicable across diverse industries. From healthcare to aerospace and beyond, attendees will gain insights into how these tools can be tailored to suit various contexts and lead to data-driven decision-making and process optimisation.

Speaker : Dr. Teoh Wei Lin of Heriot-Watt University Malaysia

About Speaker : Dr. Teoh Wei Lin is an Assistant Professor in the School of Mathematical and Computer Sciences, Heriot-Watt University Malaysia (HWUM). She received her PhD in Applied Statistics in 2013 from Universiti Sains Malaysia (USM). Her research interest is in statistical process control and statistical quality control. She was one of the recipients of the MIMOS Prestigious Award in 2013, which represents MIMOS’ highest recognition of the contributions of the academia to the nation’s innovation. She has authored or co-authored more than 80 papers in reputable peer-reviewed international journals and proceedings of international conferences, including 11 Q1 journals indexed in the Web of Science (WoS) database. She has added another important mark of recognition to her publication achievement by obtaining 15 Google scholar and Scopus h-index. She is an Associate Editor of the Journal of Statistical Computation and Simulation, which is a journal published by Taylor & Francis, and indexed in the WoS and SCOPUS databases. She also has reviewed numerous journal articles indexed in the WoS database. Her active research collaborators in her research network consist of 11 researchers from Malaysia, France, United Kingdom, Italy, China, and India. Furthermore, as the principal investigator or co-investigator, she is / was conducting numerous external grants and internal grants about new control charting methods and their applications in the manufacturing industries. She is / was supervising 8 research-mode postgraduate students. Moreover, she serves as the Associate Director of Research for the School of Mathematical and Computer Science at HWUM. She also acts as one of the HWUM auditors for Malaysia Research Assessment (MyRA), representing the Malaysia Foundation Programme.