Newcastle University in Singapore

Staff Profile

Dr Anurag Sharma

Assistant Professor in Electrical Power Engineering

Background

Biography

Dr. Anurag received Bachelor’s Degree in Electrical Engineering from Malaviya National Institute of Technology (MNIT) Jaipur, India, and the PhD degree from Department of Electrical and Computer Engineering, National University of Singapore (NUS). Dr Anurag is currently Assistant Professor at School of Electrical and Electronic Engineering at Newcastle University, Singapore campus. Before joining Newcastle University, he worked as a Research Engineer at Energy Management and Micro-grid Lab @ NUS.

Awards:

  • Fellow of the Higher Education Academy, UK
  • Postgraduate Certificate in Advanced Studies in Academic Practice
  • Newcastle Teaching Award
  • International Partnerships Seed Fund
  • QR Strategic Priority Fund
  • IEEE CIS conference support Award
  • IEEE PES conference support Award
  • Research Scholarship Award, NUS
Memberships:
  • IEEE Member: 2017-now
  • IEEE Power and Energy Society Singapore Chapter:
    • Member 2016, 2017
    • Secretary 2018
    • Vice-Chair 2019, 2020
    • Treasurer 2021, 2022


Research

Research Profile 

  • Service restoration and grid resiliency,
  • Energy management in Micro-grids,
  • Distributed energy resources - integration and their application for various ancillary services,
  • Planning of distributed storage for distribution systems,
  • Multi-agent system application in power systems

Google Scholar: https://scholar.google.com.sg/citations?user=DbW7jDoAAAAJ&hl=en 


Current Research Projects

  • 2022 - ongoing: "Towards multimodal sentiment analysis with heterogeneous information"
  • 2021 - ongoing: “Research on highly skewed turbine rotors fabricated via 3D printing for open water tests”
  • 2021 - ongoing: “Design and development of a cyber-physical system for cyber security assessment in smart distribution grid”
  • 2021 - ongoing: “Big data analytics for Smart Energy Management Systems”
  • 2020 - ongoing: “Machine Learning in Design for Manufacturing for Semiconductor Yield Improvement”
  • April 2021: "Machine Learning Techniques for Energy Demand and Generation Forecasting" 

Areas for PhD Supervision/Potential PhD Projects

Current PhD students and their projects:

  • Karthickumar P: Preventive Maintenance for Low Voltage Distribution Systems
  • Si Yong Heng: Developing a Vehicular Energy Network and integrating it with the Power Distribution System
  • Ngiap Koh (Drake): Big Data Analytics for Smart Energy Management Systems
  • Sarvanan Suppiah: Impact of EV Penetration on Distribution system
  • Irfan Malik: Hybrid Computational Intelligence for Multi-Objective Optimisation of Real Electrical Power System Operation and Maintenance
  • Ravi Suppiah: Development of a Hybrid Rehabilitative System
  • Martin Lim: Machine Learning in Design for Manufacturing for Semiconductor Yield Improvement
  • Shiraz S/O Kaderuppan: AI-Enabled Technology for Cellular Imaging and Profiling
  • Philip Solomon See: A decision-making framework inside ADABOOST to predict valence and arousal
External Supervisor:
  • Jovan Chew: "Towards multimodal sentiment analysis with heterogeneous information"

Potential PhD projects:

  • Siting and Sizing of Battery Energy Storage Systems
  • Smart Electric Charging Strategy with Reinforcement Learning for Urban Distribution Systems
  • Uncertainty Management in Urban Distribution Systems
  • Machine Learning for Fault Detection, Isolation and Restoration
  • A multi-Agent System Approach to Ensure a Resilient Cyber-Physical System



Teaching

Teaching Interests:

He has keen interest in teaching Electrical Power Engineering.

EPE1103 Circuit Theory - The aim of this module is to provide students with an understanding of basic circuit theory including AC and DC circuit analysis, phenomena of resonance and damping, operational amplifiers working etc.

EPE2201 Electrical Systems -To introduce students to topics in electrical engineering including poly-phase circuits; poly-phase synchronous machines; three-phase distribution systems; poly-phase induction machines; electric drives.

EEE3206 High Voltage Technology - The aim of this module is to provide students with an understanding of high voltage engineering, phenomena and technology and to introduce basic high voltage generation and measurement techniques.

EEE8207 Smart Grids and Applications of Computational Intelligence  - The aim of this module is to introduce students to the need for smart grid technology, its operation and potential of Computational intelligent techniques to develop smart grid technologies.

Undergraduate

  • EPE1103 Circuit Theory
  • EPE2201 Electrical Systems
  • EEE3206 High Voltage Technology 

Postgraduate

  • EPE8207 Smart Grids and Applications of Computational Intelligence
  • EPE8209 Individual Project

Publications