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 micro-grids, 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.
2024 - 2026: "Developing Critical Intelligent Modules for Large-scale Vehicle-to-Grid (V2G) Implementation", Collaborator (with SIT, NUS, and Strides)
2024 - 2025: "Hybrid Cloud and Edge-based Energy Management for Distributed Energy Resources", Collaborator (with SIT and VFlowTech)
2024 - 2025: "Development of New Electrode Materials for the Next-Generation Batteries with Improved Energy and Power Density", Co-PI (with Cancrie and IIT Kanpur)
2024 - 2028: "Development of hybrid energy storage solution to improve the system performance, safety, and economics", Co-PI (with VFlowTech)
2023 - 2024: "Design and Development of a Virtual High-Voltage Laboratory for Effective Applied Learning", Collaborator (with SIT)
2021 - 2025: “Big Data Analytics for Smart Energy Management Systems”, Co-PI (with Engie Lab Singapore)
2020 - 2024: “Machine Learning in Design for Manufacturing for Semiconductor Yield Improvement”, Co-PI (with Globalfoundaries)
2022 - 2024: "Towards multimodal sentiment analysis with heterogeneous information", Collaborator with SIT and NVIDIA
2021 - 2022: “Research on highly skewed turbine rotors fabricated via 3D printing for open water tests”, PI (with NTU)
2021 - 2022: “Design and development of a cyber-physical system for cyber security assessment in smart distribution grid”, Collaborator (with IIT Gandhinagar)April 2021 - July 2021: "Machine Learning Techniques for Energy Demand and Generation Forecasting", PI
Current
Karthickumar P: Preventive Maintenance for Low Voltage Distribution Systems
Si Yong Heng: Development and Integration of a Vehicular Energy Network 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
Mille Goh: EV Infrastructure Planning for Public Transport
Ron Koh: Minimizing the impact of Shunt Current for Vanadium Redox Flow Batteries
Sutha Palanisamy: RBI integrated Asset Integrity Management System for Marine and Offshore Structures
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
Graduated
Ngiap Koh (Drake): Big Data Analytics for Smart Energy Management Systems
Irfan Malik: Hybrid Computational Intelligence for Multi-Objective Optimisation of Real Electrical Power System Operation and Maintenance
Dr Ravi Suppiah (PhD), Associate Professor, Higher Colleges of Technology
Jovan Chew (M. Eng External Supervisor), Solutions Architecture at NVIDIA Singapore
Martin Lim (M. Eng), Machine Learning in Design for Manufacturing for Semiconductor Yield Improvement
Current
1 Dr. Prajwalasimha S N
Quantum Encryption for Securing Image Data in Intelligent Transportation Systems
2 Dr. Umesh Trambakrao Kute
Classification of Power Quality Disturbances in Microgrid
3 Dr. M. Anand
Automated Detection of Pigment Epithelial Detachment in Retinal OCT Images Using Boosting Algorithms
4 Dr. Baalamurugan KM
Sustainable Smart City Waste Management with Edge-AI Vision Classification and Secure Decentralized IoT-Blockchain Systems
5 Dr. Rajesh Kumar
Cyber Risk Scoring Models for Small Businesses Based on Vulnerability Metrics
6 Dr. Archana Patil
Artificial Intelligence in Health Care
7 Dr. Ashish Semwal
Concept of mind and self in Yoga philosophy and Western phenomenology: A Comparative Analysis
8 Dr. Prashant Kumar
E-commerce adoption, financial inclusion, and MSME development in India: A Panel Data Econometric Approach
9 Dr. Tripti Juyal
Emotional Intelligence among children: A study of school environment and school interaction in India.
10 Dr. Manish Pandey
AI in Mental Health: Sentiment Analysis and Predictive Models for depression and stress distribution
11 Dr. Arun Kumar Singh
Extending the Consumer Loyalty Model: The Role of Brand Authenticity in the Relationship between Product Features, Consumer Belief, Consumer Perception, and Consumer Loyalty – Evidence from Ayurvedic FMCG Brands in India
12 Dr. Ushasukhanya S
A Deep Learning Framework to Analyze the Volume of Corpus Callosum using Neuro Imaging for Early Intervention of Neurodevelopmental Impairments.
13 Prof Yogendra Chhetri
An Intelligent Hybrid Machine Learning Approach for Cancer Detection and Diagnostic Support
14 Dr. Prabhushankar K C
A Quantum-Resilient Hybrid Cryptographic Architecture for Secure and Scalable Distributed Medical Imaging Systems.
15 Dr Hema M
Behavior-Aware Hybrid Access Control with Deep Anomaly Detection for Secure Fog-Based Compressed Multimedia Systems
16 Dr J Ramaprabha
Machine Learning Driven Intelligent Healthcare Systems For Early Detection and Management of Parkinson's Disease
17. Dr S. Premkumar
Edge Computing and IoT-Driven Precision Cultivation Systems for Sustainable Urban Agriculture Using AI-based Predictive Analytics.
18. Dr Rahul T S
Synergizing hyperspectral remote sensing, regression analysis, and neural networks for surface water quality assessment.
19 Dr. Sreeraj R
Advancing Automated Liver Tumour Segmentation and Classification Using Deep Learning and Hybrid Attention Mechanisms in Multi-Phase CT Imaging.
20. Dr. Vinod C
Enhancing Early Prognosis of Lung Cancer with Generative AI: A Predictive Deep Learning Framework.
21. Prof. D. David Neels Ponkumar
Advanced Persistent Threats, Breach, and Botnet Detection System using Network Traffic Analysis.
22 Dr. D. Stalin David
NeuroPredict: AI-Driven Multimodal Imaging Fusion for Early Detection of Neurodegenerative Disorders.
23. Dr. S. Ramesh
A novel approach in context to Lightweight, Energy-Efficient Mutual Authentication Protocol for Constrained IoT Devices.
24. Dr. Beulah Jackson
Design and Development of Digital Coded Metasurface Antenna for Adaptive Beamforming Applications.
25 Dr Amit Sharma
Tourism Diplomacy in the Green Economy Era: A Framework for Cross-Border Collaboration in Sustainable Regional Development
26. Dr Bharat Bhushan
A Novel Routing Scheme for MANETs Featuring Machine Learning and Awareness of Mobility Patterns, RSSI, and Energy
27. Dr. Goshtu Hemanth Kumar
AI-Driven Zero-Trust Digital Twin Framework for Cyber-Resilient Smart Grids
28 Dr. E. D. Kanmani Ruby
AI-Enhanced 6G-IoT Networks for Intelligent, Autonomous, and Sustainable Systems.
29. Dr. Bhawani Sankar Panigrahi
Federated Ensemble Machine Learning with evolutionary optimization for Privacy-Preserving Diagnostic Intelligence in Healthcare
30. Dr. Kondru Ayyappa Swamy
Adaptive AI-Driven Reconfigurable Architectures for Next-Generation Personalized Hearing Aids
31 Dr. SV. Shri Bharathi
Sentiment-Driven Effective Stock Market Prediction by Integrating Technical Indicators with Social Media Data Analysis
32. Dr. Ranjith R
Speech Intelligibility Enhancement for Aphasic Individuals Using Large Language Models
33. Dr. Omji Porwal
Machine Learning- Based Predictive Modeling for Precision Breast Cancer Therapies Using Clinical and Genomic Data
34 Dr M L Sworna Kokila
Privacy-Preserving Multimodal Person Re-Identification Frameworks for Robust and Ethical Visual Pattern Analysis
35. Dr B Prakash
Multi-Objective Hybrid Evolutionary Algorithms for Energy, Latency, and Reliability Trade-offs in Future Green Wireless Networks
36. Dr V Bibin Christopher
Semantic-Aware Energy-Efficient Routing with Location Privacy and Congestion Control for Next-Generation Wireless Sensor Networks
37 Dr. Deeba. K
XAI-AgroSustain: An Explainable Deep Learning System for Resilient Plant Disease Prediction in Sustainable Real-World Farming Environments
38. Dr. Ishwarya M.V
The AI-Catalyzed Cipher: Machine Learning Optimization of Homomorphic Encryption for Secure Database Querying
39. Dr. Lalita Babulal Malusare
AI Transformation in Indian Banking: Systemic Risk, Algorithmic Convergence, and Techno-Regulatory Governance under the FREE-AI Framework
40. Dr. Neeraj Kumar
Fault Detection and Diagnosis in Power Systems using Deep Learning: A Review-Based Approach
41. Dr. E Sujatha
A Robust Federated Explainable AI Framework for Sustainable Smart Healthcare and Climate Resilient Communities
42. Dr. Sundaram K Meenakshi
Next-Gen COPD Prediction using Quantum-Powered Explainable AI Models
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
Chew J, Sharma A, Kumar DS, Zhang W, Anant N, Dong J. Unveiling the Dynamics of Residential Energy Consumption: A Quantitative Study of Demographic and Personality Influences in Singapore Using Machine Learning Approaches. Sustainability 2024, 16(14), 5881 .
Babu R G S, Reddy K MV, Shwetha S, Sivasankari GS, Narayanan K, Sharma A, Tellez AA. Techno-economic assessment of distribution system considering different types of electric vehicles and distributed generators. IET Generation, Transmission and Distribution 2024, 18(9), 1815-1829.
Wee BS, Chin CS, Sharma A. Survey of Mushroom Harvesting Agricultural Robots and Systems Design. IEEE Transactions on AgriFood Electronics 2024, 2(1), 59-80
Suppiah R, Noori K, Abidi K, Sharma A. Real-time edge computing design for physiological signal analysis and classification. Biomedical Physics & Engineering Express 2024, 10(4), 045034
Bhattar PL, Pindoriya NM, Sharma A. False data injection in distribution system: Attacker's perspective. International Journal of Critical Infrastructure Protection 2024, 45, 100672.
Shan W, Yu Quan JC, Wang Z, Sharma A, Ng AB, See S. Examining the cultural influence on online stances towards COVID-19 preventive measures and their impact on incidence and mortality: A global stance detection analysis of tweets. SSM - Population Health 2024, 26, 101679.
Bhattar PL, Pindoriya NM, Sharma A, Naayagi RT. AC-DC multi-phase power flow algorithms for active distribution system analysis. Electric Power Systems Research 2024, 226, 109924.
Malik IM, Sharma A, Naayagi R. A Comprehensive and Practical Method for Transformer Fault Analysis with Historical Data Trend using Fuzzy Logic. IEEE Transactions on Dielectrics and Electrical Insulation 2023, 30(5), 2277-2284.
Chin CS, Sharma A, Kumar DS, Madampath S. Singapore's Sustainable Energy Story: Low-carbon energy deployment strategies and challenges. IEEE Electrification Magazine 2022, 10(4), 84-89.
Kaderuppan SS, Wong WLE, Sharma A, Woo WL. O-Net: A Fast and Precise Deep-Learning Architecture for Computational Super-Resolved Phase-Modulated Optical Microscopy. Microscopy and Microanalysis 2022, 28(5), 1584-1598.
Suppiah R, Kim N, Sharma A, Abidi K. Fuzzy inference system (FIS) - long short-term memory (LSTM) network for electromyography (EMG) signal analysis. 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. Reducing grid peak load through the coordinated control of battery energy storage systems located at electric vehicle charging parks. Applied Energy 2021, 295, 116936
Suppiah R, Kim N, Sharma A, Abidi K. Fuzzy inference system (FIS) - long short-term memory (LSTM) network for electromyography (EMG) signal analysis. Biomedical Physics and Engineering Express 2022, 8(6), 065032.
Kumar DS, Lau P, Sharma A, Khambadkone A, Srinivasan D. Improvement of transient response in grid-tied photovoltaic systems using virtual inertia. IET Smart Grid 2021, 4(1), 1-14.
Kaderuppan SS, Wong WLE, Sharma A, Woo WL. Smart Nanoscopy: A Review of Computational Approaches to achieve Super-resolved Optical Microscopy. IEEE Access 2020, 8, 214801 - 214831.
Kumar DS, Sharma A, Srinivasan D, Reindl T. Stability implications of bulk power networks with large scale PVs. Energy 2019, 187, 115927.
Sharma A, Trivedi A, Srinivasan D. Multi-stage restoration strategy for service restoration in distribution systems considering outage duration uncertainty. IET Generation, Transmission and Distribution 2018, 12(19), 4319-4326.
Kumar DS, Srinivasan D, Sharma A, Reindl T. Adaptive directional overcurrent relaying scheme for meshed distribution networks. IET Generation, Transmission and Distribution 2018, 12(13), 3212-3220.
Sharma A, Srinivasan D, Trivedi A. A Decentralized Multi-Agent Approach for Service Restoration in Uncertain Environment. IEEE Transactions on Smart Grid 2018, 9(4), 3394-3405.
Srinivasan D, Rajgarhia S, Radhakrishnan BM, Sharma A, Khincha HP. Game-Theory based dynamic pricing strategies for demand side management in smart grids. Energy 2017, 126, 132–143.
Sharma A, Srinivasan D, Trivedi A. A decentralized multiagent system approach for service restoration using DG islanding. IEEE Transactions on Smart Grid 2015, 6(6), 2784-2793.
Lin M, Sharma A, Chin CS, Yip T, Ong J. Prediction of Wafer Map Categories using Wafer Acceptance Test Parameters in Semiconductor Manufacturing. In: 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2022). 2022, Hersonissos, Crete, Greece: Springer.
Wee BS, Chin CS, Sharma A. Artificial Intelligence of Things Enabled Fungiculture in Shipping Container. 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. Optimal placement of DGs in a distributed power system with power system studies. In: Asia-Pacific Power and Energy Engineering Conference (APPEEC). 2018, Bangalore, India: IEEE.
Zhang W, Srinivasan D, Sharma A. Comment on 'Distributed coordination of Electric Vehicles providing V2G regulation services' by E. L. Karfopoulos, K. A. Panourgias N., and D. Hatziargyriou. 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. An ensemble machine learning based approach for constructing probabilistic PV generation forecasting. In: Asia-Pacific Power and Energy Engineering Conference, APPEEC. 2018, Bangalore, India: IEEE Computer Society.
Sharma A, Srinivasan D, Kumar DS. A comparative analysis of centralized and decentralized multi-agent architecture for service restoration. 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.