麻豆传媒

Biography

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

Awards:

• Fellow of the Higher Education Academy, UK
• Postgraduate Certificate in Advanced Studies in Academic Practice
• 麻豆传媒 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 Senior Member: 2024-now
• IEEE Member: 2017-2023
• IEEE Power and Energy Society Singapore Chapter:
• Member 2016, 2017
• Secretary 2018
• Vice-Chair 2019, 2020
• Treasurer 2021, 2022
• Vice-Chair 2023, 2024
• Chair 2025, 2026

My research focuses on enhancing the resilience, efficiency, and intelligence of modern power systems. We explore strategies for service restoration and grid resiliency, ensuring rapid recovery from disruptions. Additionally, we investigate energy management in microgrids, optimizing the interplay of generation, storage, and consumption. Our work on distributed energy resources (DERs) integration addresses their role in providing essential ancillary services like frequency regulation and voltage support. We also delve into the planning and optimization of distributed storage, aimed at improving the reliability of distribution networks. Furthermore, we leverage multi-agent systems to develop decentralized, intelligent solutions for real-time decision-making and automation in power systems. 

Google Scholar:  

Looking for a candidate (only Singaporean or PR): Development of a hybrid energy storage solution to improve the system performance, safety, and economics

Research Projects

• 2024 - 2026: "Developing Critical Intelligent Modules for Large-scale Vehicle-to-Grid (V2G) Implementation", Collaborator
• 2024 - 2025: "Hybrid Cloud and Edge-based Energy Management for Distributed Energy Resources", Collaborator
• 2024 - 2025: "Development of New Electrode Materials for the Next-Generation Batteries with Improved Energy and Power Density", Co-PI
• 2024 - 2028: "Development of hybrid energy storage solution to improve the system performance, safety, and economics", Co-PI
• 2022 - 2024: "Towards multimodal sentiment analysis with heterogeneous information", Collaborator
• 2021 - 2022: “Research on highly skewed turbine rotors fabricated via 3D printing for open water tests”, PI
• 2021 - 2022: “Design and development of a cyber-physical system for cyber security assessment in smart distribution grid”, Collaborator
• 2021 - 2025: “Big Data Analytics for Smart Energy Management Systems”, Co-PI
• 2020 - 2024: “Machine Learning in Design for Manufacturing for Semiconductor Yield Improvement”, Co-PI
• April 2021 - July 2021: "Machine Learning Techniques for Energy Demand and Generation Forecasting", PI 

Current PGR 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
• Andy Chua: Design of GaN-based Single-Stage Inverters for Renewable Energy Integration
• Shiraz S/O Kaderuppan: AI-Enabled Technology for Cellular Imaging and Profiling
• Boon Siong Wee: Urban Reconfigurable Intelligent Farming System for High-value Mushrooms
• Sudha Palanisamy: RBI integrated Asset Integrity Management System for Marine and Offshore Structures
• Mille Goh: Planning and Optimization of Charging Stations for Public Transport in Singapore
• Ron Koh: Improving the Flow Battery Performance by Reducing Various Losses in Multi-kW to MW Flow Batteries
• Sua Hong Neo: Trustworthy AI for Defect Detection
• Ziyuan Qian: Enhanced Precision and Dynamic Adaptation in MEMS-based Tilt Measurement Utilizing Sensor Fusion and Machine Learning

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

Graduated Student:

• Dr Ravi Suppiah (PhD), Associate Professor, Higher Colleges of Technology, UAE
• Mr Jovan Chew (M. Eng External Supervisor), Solutions Architecture at NVIDIA Singapore
• Mr Martin Lim (M.Phil): Engineer, SP Power, Singapore
• Dr Ngiap Koh (Drake): Quantitative Analyst at ENGIE Lab Singapore
• Dr Irfan Malik: Regional Technical Program Manager with the Google Data Centre, Singapore

More details:

Teaching Interests:

He has a keen interest in teaching Electrical Power Engineering.

EPE1103 - 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.

EPE2301 -To introduce students to topics in electrical engineering including poly-phase circuits; poly-phase synchronous machines; three-phase distribution systems; poly-phase induction machines; and electric drives.

EPE3206/2304 - 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.

EPE3313/8207 - The aim of this module is to introduce students to the need for smart grid technology, its operation, markets, and the potential of Computational Intelligence techniques to develop smart grid technologies.

Undergraduate

• EPE1103 Circuit Theory
• EPE2301 Electrical and Magnetic Systems
• EPE3206/EPE2304 High Voltage Technology
• EPE3313 Smart Grids and Electricity Markets

Postgraduate

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

• Articles

  • Koh R, Bhattarai A, Kumar A, Ghimire PC, Ranjan R, Sahu A, Yong W, Sharma A, Abidi K, Chong J. . Journal of Power Sources 2026, 670, 239402.
  • Koh NT, Sharma A, Xiao J, Chin CS, Xing CJ, Woo WL. . IEEE Access 2025, 13, 149976-149990.
  • Cavus M, Ayan H, Dissanayake D, Sharma A, Deb S, Bell M. . Energies 2025, 18(13), 3425.
  • Koh NT, Sharma A, Xiao J, Chin CS, Xing CJ, Woo WL. . IEEE Access 2025, 13, 85156 - 85169.
  • Malik IM, Sharma A, Naayagi RT. . IEEE Transactions on Dielectrics and Electrical Insulation 2025, epub ahead of print.
  • Bisht R, Sikander A, Sharma A, Abidi K, Saifuddin MR, Lee SS. . Sustainability 2025, 17(12), 5285.
  • Kaderuppan SS, Sharma A, Saifuddin MR, Wong WLE, Woo WL. . Sensors 2024, 24(19), 6248.
  • Chew J, Sharma A, Kumar DS, Zhang W, Anant N, Dong J. . Sustainability 2024, 16(14), 5881.
  • Babu R G S, Reddy K MV, Shwetha S, Sivasankari GS, Narayanan K, Sharma A, Tellez AA. . IET Generation, Transmission and Distribution 2024, 18(9), 1815-1829.
  • Wee BS, Chin CS, Sharma A. . IEEE Transactions on AgriFood Electronics 2024, 2(1), 59-80.
  • Suppiah R, Noori K, Abidi K, Sharma A. . Biomedical Physics & Engineering Express 2024, 10(4), 045034.
  • Bhattar PL, Pindoriya NM, Sharma A. . International Journal of Critical Infrastructure Protection 2024, 45, 100672.
  • Shan W, Yu Quan JC, Wang Z, Sharma A, Ng AB, See S. . SSM - Population Health 2024, 26, 101679.
  • Bhattar PL, Pindoriya NM, Sharma A, Naayagi RT. . Electric Power Systems Research 2024, 226, 109924.
  • Malik IM, Sharma A, Naayagi R. . IEEE Transactions on Dielectrics and Electrical Insulation 2023, 30(5), 2277-2284.
  • Chin CS, Sharma A, Kumar DS, Madampath S. . IEEE Electrification Magazine 2022, 10(4), 84-89.
  • Kaderuppan SS, Wong WLE, Sharma A, Woo WL. . Microscopy and Microanalysis 2022, 28(5), 1584-1598.
  • Suppiah R, Kim N, Sharma A, Abidi K. . Biomedical Physics and Engineering Express 2022, 8(6), 065032.
  • Kucevic D, Englberger S, Sharma A, Trivedi A, Tepe B, Schachler B, Hesse H, Srinivasan D, Jossen A. . Applied Energy 2021, 295, 116936.
  • Kumar DS, Lau P, Sharma A, Khambadkone A, Srinivasan D. . IET Smart Grid 2021, 4(1), 1-14.
  • Kaderuppan SS, Wong WLE, Sharma A, Woo WL. . IEEE Access 2020, 8, 214801 - 214831.
  • Kumar DS, Sharma A, Srinivasan D, Reindl T. . Energy 2019, 187, 115927.
  • Sharma A, Trivedi A, Srinivasan D. . IET Generation, Transmission and Distribution 2018, 12(19), 4319-4326.
  • Kumar DS, Srinivasan D, Sharma A, Reindl T. . IET Generation, Transmission and Distribution 2018, 12(13), 3212-3220.
  • Sharma A, Srinivasan D, Trivedi A. . IEEE Transactions on Smart Grid 2018, 9(4), 3394-3405.
  • Srinivasan D, Rajgarhia S, Radhakrishnan BM, Sharma A, Khincha HP. . Energy 2017, 126, 132–143.
  • Sharma A, Srinivasan D, Trivedi A. . IEEE Transactions on Smart Grid 2015, 6(6), 2784-2793.

• Conference Proceedings (inc. Abstracts)

  • Dash PS, Sani SNNBM, Sharma A, Kumar DS, Krishnan SB, Dong J. . In: 9th International Conference on Green Energy and Applications (ICGEA). 2025, Singapore, Singapore: Institute of Electrical and Electronics Engineers Inc.
  • Kumar DS, Krishnan SB, Sharma A, Tak TK, Rathore AK. . In: IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES 2024). 2024, Mangalore, India: IEEE.
  • Dong J, Chiaki T, Sharma A, Kumar DS, Sivaneasan B. . In: 2024 IEEE 11th Power India International Conference (PIICON). 2024, Jaipur, India: Institute of Electrical and Electronics Engineers Inc.
  • Dong J, Borhan SZB, Sharma A, Kumar DS, Anant N, Sivaneasan B, Deb S, Khan N. . In: 2024 IEEE 11th Power India International Conference (PIICON). 2024, Jaipur, India: Institute of Electrical and Electronics Engineers Inc.
  • Aravindhanathan G, Narayanan K, Rana AS, Aguila Tellez A, Senjyu T, Sharma A. . In: 2024 IEEE 11th Power India International Conference (PIICON). 2024, Jaipur, India: Institute of Electrical and Electronics Engineers Inc.
  • Lin M, Sharma A, Chin CS, Yip T, Ong J. . In: 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2022). 2022, Hersonissos, Crete, Greece: Springer.
  • Wee BS, Chin CS, Sharma A. . In: 24th IEEE/ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. 2022, Taichung, Taiwan: IEEE.
  • Bakar MA, Logenthiran T, Sharma A, Phan V-T. . In: Asia-Pacific Power and Energy Engineering Conference (APPEEC). 2018, Bangalore, India: IEEE.
  • Zhang W, Srinivasan D, Sharma A. . In: International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018. 2018, Singapore, Singapore: Institute of Electrical and Electronics Engineers Inc.
  • Zhang W, Quan H, Gandhi O, Rodriguez-Gallegos CD, Sharma A, Srinivasan D. . In: Asia-Pacific Power and Energy Engineering Conference, APPEEC. 2018, Bangalore, India: IEEE Computer Society.
  • Sharma A, Srinivasan D, Kumar DS. . In: 2016 IEEE Congress on Evolutionary Computation (CEC). 2016, Vancouver, BC, Canada: IEEE.
  • Sharma A, Shih S, Srinivasan D. A smart scheduling strategy for charging and discharging of electric vehicles. In: Innovative Smart Grid Technologies-Asia (ISGT ASIA), 2015 IEEE. 2015, IEEE. In Preparation.
  • Sharma A, Arokiasami WA, Srinivasan D. A multi-agent approach for service restoration with distributed generation. In: Innovative Smart Grid Technologies-Asia (ISGT Asia), IEEE. 2013, IEEE.

• Reports

  • Goh KL, Sharma A. . 麻豆传媒: 麻豆传媒, 2023. Version 5.
  • Goh KL, Cheong VS, Tan KCK, Sharma A. . Singapore: 麻豆传媒 in Singapore, 2023. REACH Bytes E-Newsletter.