Ilango Karuppasamy | Electrical Engineering | Best Researcher Award

Published on by Engineering Scientist

Best Researcher Award

Ilango Karuppasamy
Affiliation Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham
Country India
Scopus ID 37032616600
Documents 75
Citations 613
h-index 13
Subject Area Electrical Engineering
Event Engineering Scientist Awards
ORCID 0000-0003-3366-6354

Ilango Karuppasamy

Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham

The Best Researcher Award article summarizes the scholarly profile of Ilango Karuppasamy, whose research activities span electrical engineering, renewable energy technologies, battery management systems, smart energy applications, power electronics, and computational modeling. His publication record demonstrates continuous contributions to engineering research through interdisciplinary investigations involving simulation, intelligent energy management, wireless technologies, and sustainable power systems. The profile presented here reflects academic achievements using publicly available research metrics and representative publications while highlighting suitability for professional research recognition.[1]

Abstract

Ilango Karuppasamy has contributed to engineering research through studies addressing battery technologies, renewable energy systems, wireless battery management, solar forecasting, compressive sensing, and sustainable energy applications. His publications combine theoretical analysis with computational simulation and engineering implementation, supporting advances in efficient power utilization and intelligent monitoring. The research portfolio demonstrates collaboration across emerging engineering disciplines while maintaining practical relevance for industrial and academic applications.[2]

Keywords

  • Electrical Engineering
  • Battery Management Systems
  • Renewable Energy
  • Power Electronics
  • Solar Forecasting
  • Energy Modeling

Introduction

Electrical engineering continues to evolve through intelligent energy systems, advanced simulations, and sustainable technologies. Research activities involving lithium-ion batteries, wireless communication, cloud-integrated forecasting, and renewable energy optimization contribute to improving efficiency, reliability, and environmental sustainability. The documented scholarly record illustrates active participation within these developing research domains.[3]

Research Profile

According to the supplied academic metrics, the researcher has authored 75 indexed publications, received 613 citations, and attained an h-index of 13. These indicators reflect sustained scholarly productivity and measurable research visibility within electrical engineering. The publication portfolio encompasses energy management, battery technologies, computational intelligence, smart grids, and renewable energy systems.[4]

Research Contributions

  • Development of electro-thermal models for lithium-ion battery packs.
  • Investigation of wireless communication technologies for battery management systems.
  • Research on cloud-based LSTM solar forecasting and residential energy management.
  • Studies involving compressive sensing for power engineering applications.
  • Experimental evaluation of solar still performance and renewable energy optimization.

Publications

  • Integrated Electro-Thermal Modeling and Simulation of Lithium-Ion Cells for Customized Battery Pack (2026).
  • Wireless Communication in Battery Management Systems: A Review of Technologies, Challenges, and Future Prospects (2026).
  • Analytical Study of a Single Slope Solar Still: Experimental Evaluation (2025).
  • Compressive Sensing in Power Engineering: A Comprehensive Survey of Theory and Applications (2025).
  • A Cloud-Integrated Virtual Framework for LSTM-Driven Solar Forecasting and Residential Energy Management (2025).

Research Impact

The available citation indicators suggest consistent academic influence across engineering research topics. Publications addressing battery systems, renewable energy optimization, intelligent forecasting, and computational engineering support ongoing developments relevant to sustainable infrastructure and smart power technologies. The combination of citation performance and publication productivity indicates an established contribution to contemporary engineering scholarship.[5]

Award Suitability

The documented research achievements align with common evaluation criteria for professional research recognition, including publication quality, citation impact, interdisciplinary collaboration, engineering innovation, and sustained scholarly productivity. The research portfolio demonstrates relevance to both academic advancement and practical engineering applications while contributing to emerging technologies supporting clean energy and intelligent electrical systems.[6]

Conclusion

This academic profile presents a concise overview of Ilango Karuppasamy’s documented research activities within electrical engineering. Through publications addressing battery technologies, renewable energy, intelligent forecasting, and computational engineering, the researcher has established a measurable scholarly record supported by recognized citation metrics and peer-reviewed contributions. The profile represents a structured summary appropriate for academic recognition and professional reference.

External Links

References

  1. Integrated Electro-Thermal Modeling and Simulation of Lithium-Ion Cells for Customized Battery Pack (2026).
    DOI: 10.1007/978-981-96-9724-3_20
  2. Wireless Communication in Battery Management Systems: A Review of Technologies, Challenges, and Future Prospects (2026).
    DOI: 10.1007/978-981-96-9720-5_40
  3. Analytical Study of a Single Slope Solar Still: Experimental Evaluation (2025).
    DOI: 10.11591/ijeecs.v39.i2.pp850-859
  4. Compressive Sensing in Power Engineering: A Comprehensive Survey of Theory and Applications (2025).
    DOI: 10.3390/jsan14020028
  5. A Cloud-Integrated Virtual Framework for LSTM-Driven Solar Forecasting and Residential Energy Management (2025).
    DOI: 10.1109/ACCESS.2025.3601722
  6. Research metrics including publication count, citation count, h-index, institutional affiliation, and subject classification supplied for academic recognition profile preparation.

 

Malligunta Kiran Kumar | Electrical Engineering | Innovative research award

Published on by Engineering Scientist

Innovative Research Award

Malligunta Kiran Kumar
Koneru Lakshmaiah Education Foundation, India

Malligunta Kiran Kumar
Affiliation Koneru Lakshmaiah Education Foundation
Country India
Scopus ID 56583176800
Documents 137
Citations 780
h-index 14
Subject Area Electrical Engineering
Event Engineering Scientist Awards
ORCID 0000-0002-1154-9723

Malligunta Kiran Kumar is an electrical engineering researcher affiliated with Koneru Lakshmaiah Education Foundation, India. His scholarly work encompasses intelligent energy management, renewable energy integration, smart grid technologies, power electronics, inverter control systems, electric vehicle infrastructure, and advanced optimization algorithms. His research demonstrates a sustained contribution to developing practical engineering solutions for modern electrical power systems and has resulted in numerous peer-reviewed publications indexed in major scientific databases.[1]

Abstract

The research portfolio of MALLIGUNTA KIRAN KUMAR focuses on modern electrical engineering challenges through intelligent control, machine learning, renewable energy systems, smart meters, electric vehicle charging infrastructure, and advanced inverter technologies. His publications contribute to improving power quality, operational efficiency, sustainable energy utilization, and predictive energy management. These studies demonstrate practical relevance while advancing computational methods applicable to next-generation smart electrical systems.[1]

Keywords

  • Smart Grid
  • Power Electronics
  • Renewable Energy
  • Machine Learning
  • Electric Vehicles
  • Energy Management

Introduction

Rapid developments in renewable energy and intelligent power systems require innovative engineering solutions capable of ensuring efficiency, reliability, and sustainability. The research conducted by MALLIGUNTA KIRAN KUMAR addresses these priorities by integrating advanced computational intelligence with practical electrical engineering applications, contributing to energy optimization and improved grid performance.[2]

Research Profile

With 137 Scopus-indexed publications, 780 citations, and an h-index of 14, the researcher has established a consistent academic record in electrical engineering. His studies investigate inverter control, photovoltaic integration, anomaly detection, fuzzy neural networks, sliding mode control, and intelligent optimization techniques that enhance electrical system reliability.[3]

Research Contributions

  • Advanced anomaly detection for smart meter energy consumption analysis.
  • Power quality improvement using intelligent inverter control.
  • Optimization of electric vehicle charging infrastructure.
  • Grid-connected photovoltaic system enhancement.
  • Application of artificial intelligence in energy management.

Publications

Recent publications include studies on anomaly detection for smart meter data, hybrid optimization of electric vehicle charging stations, advanced inverter control using fuzzy neural networks, and sliding mode control for photovoltaic systems. These works collectively emphasize sustainable energy management and intelligent electrical engineering solutions.[1][4]

Research Impact

The research outputs contribute to practical improvements in energy efficiency, renewable integration, power quality, and smart infrastructure development. The combination of artificial intelligence and power engineering supports future-ready electrical systems for industrial and urban applications.[5]

Award Suitability

Considering his publication record, citation impact, and contributions to intelligent electrical engineering technologies, MALLIGUNTA KIRAN KUMAR demonstrates strong academic qualifications for recognition under the Engineering Scientist Awards. His work aligns with innovation in renewable energy, intelligent power electronics, and sustainable engineering research.[5]

Conclusion

The research activities of MALLIGUNTA KIRAN KUMAR illustrate continued contributions toward modern electrical engineering through interdisciplinary approaches involving artificial intelligence, renewable energy, and advanced power electronics. His scholarly achievements support ongoing technological advancements in sustainable electrical power systems.

External Links

References

  1. Malligunta Kiran Kumar et al. Empowering Energy Management: Anomaly Detection in Smart Meter Data for Proactive Consumption Control. Bulletin of Electrical Engineering and Informatics, 2026.
    10.11591/eei.v15i3.10957
  2. Malligunta Kiran Kumar et al. Enhanced UPS Inverter Control Using Backstepping and Fuzzy Neural Network for Improved Power Quality. International Journal of Power Electronics and Drive Systems, 2026.
    10.11591/ijpeds.v17.i2.pp1069-1083
  3. Malligunta Kiran Kumar et al. Super-Twisting Sliding Mode Control for Enhanced Performance of Grid-Connected PV Systems with H-Bridge Multilevel Inverter. International Journal of Applied Power Engineering, 2026.
    10.11591/ijape.v15.i2.pp464-479
  4. Malligunta Kiran Kumar et al. Enhancing Urban EV Integration: A Data-Driven Hybrid Approach to Charging Station Optimization and Energy Management. Bulletin of Electrical Engineering and Informatics, 2026.
    10.11591/eei.v15i2.10614
  5. Scopus Author Profile. MALLIGUNTA KIRAN KUMAR, Scopus ID: 56583176800. Elsevier Scopus Database.
    https://www.scopus.com/authid/detail.uri?authorId=56583176800