Bikram Das | Power Electronics | Research Excellence Award

Dr. Bikram Das | Power Electronics | Research Excellence Award

Assistant Professor | NIT Agartala | India

Dr. Bikram Das has made notable research contributions in power electronics, renewable energy conversion systems, and smart grid technologies, demonstrating a clear focus on improving efficiency, reliability, and power quality in modern energy infrastructures. His scholarly work includes impactful publications in prominent international journals such as the IEEE Transactions on Industry Applications, where he co-authored an advanced 11-level grid-interactive hybrid inverter topology designed for medium-voltage applications. This innovation supports enhanced energy conversion processes and improved integration of renewable energy into electrical networks. His contributions to photovoltaic (PV) energy systems are evidenced through the development and validation of an improved perturb-and-observe MPPT algorithm, which optimizes solar energy extraction under varying environmental conditions. Additionally, he has collaborated on research involving TSBC converters integrated with battery energy storage systems to advance DFIG-based wind energy conversion systems, improving system efficiency and operational stability. His work addressing power quality challenges through D-STATCOM analysis further reflects his strong engagement with distribution network enhancement solutions. Several conference contributions also highlight complementary research on inverter topologies and smart grid power electronics. Across his research portfolio, Dr. Das demonstrates technical depth, interdisciplinary collaboration, and a commitment to advancing technologies that align with global clean energy transition goals. His publications collectively showcase his ability to address key engineering challenges associated with renewable energy integration and highlight his strengths in applied research that has direct industrial and societal relevance, positioning him as a promising contributor to advancements in modern sustainable power systems.

Profile: Google Scholar

Featured Publications

N. Panda, Das, B., Chakrabarti, A., Kasari, P. R., Bhattacharya, A., & Chatterjee, D. (2020). A new grid‐interactive 11‐level hybrid inverter topology for medium‐voltage application. IEEE Transactions on Industry Applications, 57(1), 869–881.

Das, B., Jamatia, A., Chakraborti, A., Kasari, P. R., & Bhowmik, M. (2012). New perturb and observe MPPT algorithm and its validation using data from PV module. International Journal of Advances in Engineering & Technology, 4(1), 579–587. (Page range added based on standard format)

Das, A., Kar, A. K., Kumar, C., Kumar, U., Verma, A., Pal, S., Joseph, A., & Das, B. (2020). TSBC converter with BESS for DFIG‐based wind energy conversion system. IEEE Transactions on Industry Applications, 56(6), 6158–6173.

Kasari, P. R., Paul, M., Das, B., & Chakraborti, A. (2017). Analysis of D‐STATCOM for power quality enhancement in distribution network. In 2017 IEEE Region 10 Conference (TENCON) (pp. 1421–1426). IEEE.

Panda, N., Das, B., Kasari, P. R., & Chakrabarty, A. (2020). A developed eleven‐level inverter topology for medium‐voltage application. In 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE) (pp. 1–6). IEEE.

Dr. Elaheh Yaghoubi | Smart Grid | Best Researcher Award

Dr. Elaheh Yaghoubi | Smart Grid | Best Researcher Award

Dr. Elaheh Yaghoubi, Karabuk University, Turkey

Dr. Elaheh Yaghoubi is a skilled researcher in power system analysis and smart grids, currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where she focuses on optimal power control for grid-connected distributed generation using Model Predictive Control (MPC). She holds a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, specializing in error detection for grid systems. As a Principal Researcher at PEDAR, she integrates AI techniques like machine learning and deep learning into power management solutions and has held senior roles in companies such as Rico Electronics and Kati Kabl Tabarestan Factory.

Professional Profile

Google Scholar

Suitability for the Best Researcher Award:

Dr. Elaheh Yaghoubi is an excellent candidate for the Best Researcher Award. Her ongoing research in optimal power control for distributed generation, coupled with her expertise in MPC and AI integration, positions her as a forward-thinking researcher addressing critical issues in the energy sector. Her work is both theoretically robust and practically applicable, which is essential for the future development of sustainable and intelligent power systems.

Education & Expertise:

Dr. Elaheh Yaghoubi is currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where her research focuses on optimal power control of grid-connected distributed generation using Model Predictive Control (MPC). She also holds a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, specializing in error detection for grid systems.

Research Interests:

Her areas of interest include power system analysis, smart grids, renewable energy, distributed generation, and the application of AI techniques like machine learning and deep learning in power management.

Work Experience:

Dr. Yaghoubi is a Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) Group and has held senior management positions at Rico Electronics and Kati Kabl Tabarestan Factory. Additionally, she worked as a website designer at WebCore Company.

Her work integrates advanced power control strategies with AI-driven solutions for future energy systems.

Publication Top Notes:

  • “The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems”
    • Citations: 16
    • Published: 2023
  • “Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide”
    • Citations: 12
    • Published: 2021
  • “Reducing the vulnerability in microgrid power systems”
    • Citations: 11
    • Published: 2023
  • “Electric vehicles in China, Europe, and the United States: Current trend and market comparison”
    • Citations: 10
    • Published: 2024
  • “Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide”
    • Citations: 10
    • Published: 2022