Krishna Pavan Inala | Smart Grids | Best Researcher Award

Published on by Innovation Technologist

Assist. Prof. Dr. Krishna Pavan Inala | Smart Grids | Best Researcher Award

Assistant Professor at BV Raju Institute of Technology | India

Dr. Krishna Pavan Inala is an accomplished researcher specializing in communication networks for smart grids, electric vehicle integration, and intelligent energy management systems. His research advances focus on Vehicle-to-Grid (V2G) communication, distributed grid voltage stability, communication-system impacts on power networks, and machine-learning-based load forecasting. He has published impactful journal articles in leading venues such as IEEE Systems Journal, IEEE Transactions on Industrial Informatics, IET Power Electronics, and the International Journal of Ambient Energy. His research output is well-recognized, with 103 citations, an h-index of 5, and an i10-index of 2 (with 100 citations, h-index 5, and i10-index 2 since 2020). His conference and book-chapter contributions, presented in prominent IEEE conferences and Springer proceedings, span optimal load prediction using machine learning, AI and IoT applications in smart-grid security, deep learning for household demand forecasting, and the role of communication networks in V2G environments. His expertise includes MATLAB, Python, communication-network simulators, and advanced data-analytics tools, enabling him to develop and evaluate innovative solutions for smart-grid communication reliability, predictive modeling, and energy optimization. In teaching and mentoring roles, he integrates concepts from communication engineering, artificial intelligence, and power systems to guide student research and project development. Dr. Inala’s research vision emphasizes building intelligent, secure, and resilient smart-grid infrastructures through robust communication frameworks, AI-driven forecasting, and sustainable energy technologies, contributing significantly to the evolution of next-generation smart electric systems.

Profile: Google Scholar

Featured Publications

1. Sah, B., Kumar, P., Rayudu, R., Bose, S. K., & Inala, K. P. (2018). Impact of sampling in the operation of vehicle to grid and its mitigation. IEEE Transactions on Industrial Informatics, 15(7), 3923–3933.

2. Inala, K. P., Sah, B., Kumar, P., & Bose, S. K. (2020). Impact of V2G communication on grid node voltage at charging station in a smart grid scenario. IEEE Systems Journal, 15(3), 3749–3758.

3. Inala, K. P., Kumar, P., & Bose, S. K. (2019). Impact of communication systems on grid node voltage and operation of a vehicle-to-grid controller in a smart-grid scenario. IET Power Electronics, 12(13), 3499–3509.

4. Inala, K. P., & Thirugnanam, K. (2022). Role of communication networks on vehicle-to-grid (V2G) system in a smart grid environment. In Proceedings of the 2022 4th International Conference on Energy, Power and Environment (ICEPE) (pp. 1–5). IEEE.

5. Manojkumar, R., & Inala, K. P. (2024). Optimised rule-based peak shaving and its impact on annual energy cost reduction. International Journal of Ambient Energy, 45(1), 2397672.

Jun Li | Energy Materials | Best Researcher Award

Published on by Innovation Technologist

Prof. Jun Li | Energy Materials | Best Researcher Award

Associate Professor of Kunming university, China

Li Jun is a dedicated researcher and educator passionate about advancing sustainable building technologies and energy storage solutions. His work emphasizes the development of safe and efficient materials to tackle modern energy challenges. 🌍💡📚

Publication Profile : 

Scopus

🎓 Educational Background :

Li Jun earned his Ph.D. in Power Engineering and Engineering Thermophysics from Chongqing University (September 2016 – December 2020). He completed his Master’s in the same field at Guangdong University of Technology (September 2013 – June 2016) and obtained his Bachelor’s in Physics from Donghua University of Science and Technology (September 2008 – June 2012).

💼 Professional Experience :

Li Jun has a rich academic career, currently serving as a Lecturer at Kunming University since February 2023. Prior to this role, he was involved in postdoctoral research at Guangdong University of Technology from January 2021 to November 2022. His extensive training and research experiences have equipped him with expertise in thermal safety and energy storage technologies.

📚 Research Interests : 

Li’s research interests lie primarily in the fields of thermal energy storage, phase change materials, and enhanced thermal safety. He focuses on the design and construction of innovative materials for high heat flux density electronic cooling.

📝 Publication Top Notes :

  • Jun Li, Yingbiao Yuan, Haoxin Chen, Lisi Jia, Na Zhang, Shuxian He, Renjie Chen, Rao Tao, Hongfei Zhang, Jiaoyang Li.
    Highly stable and nonflammable hydrated salt nanocapsules with inorganic-organic composite shell for sustainable building technology.
    Journal of Energy Storage, 2024, 79: 110173.
    (Sole First Author, Sole Corresponding Author)
  • Jun Li, Haoxin Chen, Lisi Jia, Xiaoyun Zhu, Guangjun Qin, Ying Chen.
    Preparation and characterization of Na2HPO4·12H2O@polymethyl methacrylate nanocapsule for efficient thermal energy storage.
    Journal of Energy Storage, 2022, 53: 105133.
    (Sole First Author)
  • Jun Li, Lisi Jia, Ying Chen, Longjian Li, Songping Mo, Jiacheng Wang, Chao Wang.
    Microfluidic fabrication and thermal properties of microencapsulated n-heptadecane with hexanediol diacrylate shell for thermal energy storage.
    Applied Thermal Engineering, 2019, 162: 114278.
    (Sole First Author)
  • Jun Li, Xiaoyun Zhu, Huichang Wang, Pengcheng Lin, Lisi Jia, Longjian Li, Ying Chen.
    Synthesis and properties of multifunctional microencapsulated phase change material for intelligent textiles.
    Journal of Materials Science, 2020, 3(56): 2176-2191.
    (Sole First Author)
  • Jun Li, Haoxin Chen, Lisi Jia, Ying Chen.
    Nanoencapsulation of Silicon Carbide-Doped Hydrated Salt for Safe and High-Efficient Battery Thermal Management.
    ACS Applied Energy Materials, 2022, 5(9): 11581-11590.
    (Sole First Author)