IEEE Singapore CIS

IEEE CIS Singapore Chapter Members –

Chair – Dr. Dipti Srinivasan, Professor, Electrical & Computer Engineering Department, National University of Singapore

Vice-Chair – Dr. P.N. Suganthan, Associate Professor, School of Electrical and Electronic Engineering, Nanayang Technological University

Secretary – Dr. Teng Teck Hou, Deputy Head, Data Analytics Strategic Technology Center, ST Engineering

Member – Dr. Ah Hwee Tan, Professor, School of Computing and Information Systems, Singapore Management University

Member – Dr. Mahardhika Pratama, Assistant Professor, School of Computer Science and Engineering, Nanayang Technological University

Member – Yao Jian Chao, Defence Science Organization (DSO) National Laboratories

Member – Dr. Abhishek Gupta, Scientist III, A*Star Singapore Institute of Manufacturing Technology (SimTech)

Member – Dr. Mojtaba Shakeri, Scientist II, A*Star Singapore Institute of Manufacturing Technology (SimTech)

Member – Dr. Kentaroh Toyoda, Scientist, A*Star Singapore Institute of Manufacturing Technology (SimTech)

Member – Dr. Anupam Trivedi, Senior Research Scientist, Electrical & Computer Engineering Department, National University of Singapore

Upcoming Event –

Webinar on “Manufacturing Analytics – Fundamentals & Success Stories” by Mr. Partha Ray, CEO, dDriven on 9th November 2021, 1-2 pm

Abstract –

Analytics of industrial data requires substantial data engineering for the blending of multiple IT and OT data streams. This data engineering and its complexities is the primary reason behind most unsuccessful analytics or digitalization projects. Current investments in verticalized solutions and analytics/visualization tools do not address this data engineering challenge, and it remains a blind spot. dDriven addresses this challenge through its platform, UNLSH – an industry-agnostic data backbone that reduces risks, complexity, and time-to-value of any analytics project. It is the core digital infrastructure that connects data, analytics, and operations.

This webinar will cover:

1. the fundamentals of data engineering and how UNLSH simplifies the whole process
2. some of the real-life case studies where UNLSH helped manufacturers achieve significant ROI/bottom-line impact within a short period

The registration link will be shared by end of October 2021.

Recent Events –

• Webinar on “Data in Manufacturing Business: Impacts, Challenges, and Solutions”, by Mr. Partha Ray, CEO, dDriven, 17th Aug 2021
• Webinar on “Randomization‐based deep and shallow learning algorithms for pattern classification”, by Prof. Suganthan, NTU, Singapore, 15th Aug 2021
• Seminar on “Data-Driven Evolutionary Computation”, by Prof. Handing Wang, Xidian University, China, 16th July 2021
• Seminar on “A Cooperative Hierarchical Multi-Agent System for EV Charging Scheduling”, by Mr. Can Berk Saner, NUS, Singapore, 2nd July 2021
• Seminar on “Co-Evolved Parallel Algorithm Portfolios”, by Prof. Ke Tang, SUSTech, China, 2nd July 2021Seminar on “Coordinated Planning Method for Optimizing Tidal Current Electricity Generation”, by Mr. Li Hui, NUS, Singapore, 11th June 2021
• Seminar on “Hybrid Multi-Objective Optimization Approach For Collaborative Truck-Drone Routing Problems”, by Mr. Qizhang Luo, NUS, Singapore, 10th June 2021
• Seminar on “Optimization Model of a Combined Wind-PV-Thermal Dispatching System under Carbon Emissions Trading in China”, by Mr. Shufan Mei, NUS, Singapore, 10th June 2021