Advancing knowledge in power systems through rigorous research, peer-reviewed publications, and technical contributions to the global engineering community.
Peer-reviewed articles in top-tier international journals covering power systems, renewable energy, and smart grid technologies.
Technical presentations at leading international and national conferences, workshops, and symposiums in electrical engineering.
Comprehensive technical reports for industry partners, government agencies, and research funding organizations.
Innovation protection through patents and contributions to national and international standards development.
This paper presents a novel approach to predictive maintenance for power transformers using artificial intelligence and multi-modal sensor fusion. The proposed methodology combines dissolved gas analysis (DGA), thermal imaging, vibration monitoring, and acoustic emission data to provide accurate fault prediction with 95.7% accuracy.
This work presents an optimization framework for hybrid energy storage systems combining lithium-ion batteries, supercapacitors, and flywheel energy storage for enhanced grid-scale renewable energy integration.
Investigation of natural ester fluids as environmentally friendly alternatives to mineral oil in power transformers, with focus on thermal stability enhancement and dielectric performance optimization.
Novel wireless power transfer system with real-time alignment correction for electric vehicle charging applications, achieving 92% efficiency at 50kW power levels.
First demonstration of quantum magnetometry for non-invasive current sensing in high-voltage transmission lines, achieving unprecedented measurement precision and immunity to electromagnetic interference.
Implementation of edge AI and digital twin concepts for next-generation substation automation, enabling autonomous operations and predictive maintenance capabilities.
Total citations across all publications with h-index of 18 and growing international recognition.
Countries where our research has been cited, demonstrating global impact and relevance.
Active researchers in our collaboration network across 25 institutions worldwide.
Research awards and recognition from professional societies and industry organizations.
Application of machine learning, deep learning, and AI algorithms for grid optimization, fault detection, and predictive maintenance.
Research in renewable energy integration, energy storage, and environmentally sustainable power system technologies.
Development of new materials for electrical insulation and advanced diagnostic techniques for power equipment.
Internet of Things (IoT), communication technologies, and digitalization of power systems for enhanced efficiency.
Exploration of quantum sensing, quantum computing applications, and quantum-enhanced measurement techniques.
Cybersecurity, grid resilience, and protection systems for critical power infrastructure against various threats.
Complete publication database with detailed abstracts, citation metrics, and download links available in our research portal. Contact our research team for access to full publications and collaboration opportunities.
Spectrum Group is committed to open science principles, making research findings accessible to the global research community and promoting knowledge sharing for accelerated innovation in power systems technology.
60% of our publications are available under open access licenses, ensuring free availability of research findings to researchers worldwide.
Open datasets and research data available for reproducible research and collaborative studies in power systems.
Research software and tools made available under open source licenses for community benefit and collaborative development.
Free educational materials, tutorials, and courses based on our research for student and professional development.