Bimal Kumar Dora | Engineering | Best Researcher Award

Mr. Bimal Kumar Dora | Engineering | Best Researcher Award

PhD at Visvesvaraya National Institute of Technology Nagpur, India

Bimal Kumar Dora is an emerging researcher in electrical engineering with a strong focus on power system optimization and renewable energy integration. Currently pursuing a PhD at Visvesvaraya National Institute of Technology, his research addresses critical challenges in developing a global electricity grid by integrating advanced machine learning and meta-heuristic algorithms. He has contributed significantly to academic literature through multiple publications in reputed international journals and conferences, emphasizing innovative solutions such as hybrid optimization techniques and robust algorithmic frameworks. His work bridges traditional power systems with modern computational methods, demonstrating both theoretical insight and practical application. Alongside his research, he actively participates in workshops and seminars that further enhance his expertise in control, power, and electric drives. His dedication is evidenced by prestigious fellowships and continuous professional development. Dora’s interdisciplinary approach and commitment to solving complex energy problems make him a promising candidate for future advancements in sustainable power systems.

Professional Profile 

Education

Bimal Kumar Dora’s academic journey reflects a dedicated and robust foundation in electrical engineering and research methodologies. He began his studies with a Diploma in Electrical Engineering from Odisha School of Mining Engineering, where he built his fundamental technical skills. Subsequently, he earned a Bachelor’s degree in Electrical Engineering from Gandhi Institute for Technological Advancement, further solidifying his expertise in the field. His academic progression continued with a Master of Technology from the National Institute of Technology Sikkim, where he specialized in Control, Power, and Electric Drives, achieving an outstanding CGPA and engaging in research on power system optimization. Currently, he is pursuing a PhD at Visvesvaraya National Institute of Technology, focusing on the global electricity grid and integrating innovative approaches in machine learning and meta-heuristic algorithms. This comprehensive educational background has equipped him with both theoretical knowledge and practical skills necessary for addressing complex challenges in sustainable energy systems.

Professional Experience

Bimal Kumar Dora’s professional experience exemplifies high-level research and practical applications in the electrical engineering domain. As a dedicated researcher, he has contributed to multiple international journals and conference proceedings, showcasing his work on power system optimization, renewable energy integration, and advanced algorithm development. His work has earned international acclaim. His research projects involve developing innovative hybrid algorithms such as the Exchange Market based Butterfly Optimization Algorithm, tested on standard IEEE systems and real-world power grids. Dora’s experience extends to collaborating with renowned academic institutions and industry experts, enhancing the translational impact of his work. In addition, he has participated in various workshops and seminars focused on control systems, power electronics, and emerging technologies. His technical proficiency in programming tools like Python and MATLAB reinforces his ability to tackle complex engineering challenges. Through professional development and engagement in cutting-edge research, he remains a key asset to the sustainable energy sector.

Research Interest

Mr. Bimal Kumar Dora’s research interests lie at the intersection of power system optimization, renewable energy integration, and advanced computational techniques. His work primarily focuses on developing efficient algorithms to tackle complex challenges in modern electrical grids, including the integration of renewable energy sources into a global electricity grid. He employs machine learning, meta-heuristic, and soft computing methods to design and implement innovative solutions for generation expansion planning and optimal reactive power dispatch. His exploration of hybrid optimization techniques—such as the Exchange Market based Butterfly Optimization Algorithm—demonstrates his commitment to enhancing system reliability and efficiency. By integrating traditional power system engineering with contemporary data-driven methodologies, his research addresses both theoretical and practical aspects of sustainable energy systems. This multidisciplinary approach not only contributes to academic literature but also offers tangible benefits for industry applications, making his work highly relevant in the evolving landscape of energy management and smart grid technologies.

Award and Honor

Throughout his academic and research career, Mr. Dora has received significant recognition for his dedication and innovative contributions. Notably, he qualified in the GATE examination in 2018, which paved the way for prestigious scholarships and fellowships. His academic excellence was further acknowledged through the AICTE GATE Scholarship awarded by MHRD during his M. Tech studies, reinforcing his capability in rigorous research and problem-solving. Currently, his potential is recognized with the MHRD Research Fellowship, an honor that supports his PhD work at Visvesvaraya National Institute of Technology. These awards not only underscore his technical proficiency and research acumen but also reflect his commitment to pushing the boundaries of electrical engineering. Such accolades serve as a testament to his ability to innovate and lead in the field of sustainable energy solutions, earning him respect and admiration among his peers and mentors.

Research Skill

Mr. Bimal Kumar Dora exhibits a robust set of research skills that are fundamental to his success as an emerging scholar in electrical engineering. His technical expertise spans a wide array of programming and simulation tools, including Python, MATLAB, and Octave, which he adeptly applies to model complex power systems and optimize performance. Proficient in using specialized software such as QGIS, MiPower, and Power World, he efficiently conducts simulations and analyses that support his research hypotheses. Additionally, his familiarity with real-time simulators like Typhon HIL and the Real-Time Transmission Line Simulator enhances his ability to test theoretical models under practical conditions. His skills extend to academic writing and presentation, supported by his proficiency in LATEX and MS Office. This comprehensive toolkit not only allows him to conduct innovative experiments and develop hybrid algorithms but also ensures that his findings are communicated effectively through high-impact publications and presentations at international conferences.

Conclusion

Bimal Kumar Dora demonstrates significant promise as a researcher with a strong foundation in innovative and interdisciplinary work. His solid academic record, impactful publications, and technical proficiency make him a compelling candidate for the Best Researcher Award. Addressing areas such as leadership in collaborative projects and extending the societal impact of his research could further elevate his profile. Overall, his achievements and ongoing commitment to advancing power system optimization and renewable energy integration mark him as a deserving contender for this recognition.

Publications Top Noted

Inverse Thresholding to Spectrogram for the Detection of Broken Rotor Bar in Induction Motor
Title: Inverse Thresholding to Spectrogram for the Detection of Broken Rotor Bar in Induction Motor
Authors: S Halder, S Bhat, BK Dora
Year: 2022
Citation Count: 18

An Enhanced Pathfinder Algorithm Based MCSA for Rotor Breakage Detection of Induction Motor
Title: An Enhanced Pathfinder Algorithm Based MCSA for Rotor Breakage Detection of Induction Motor
Authors: S Halder, BK Dora, S Bhat
Year: 2022
Citation Count: 15

Optimal Reactive Power Dispatch Problem Using Exchange Market Based Butterfly Optimization Algorithm
Title: Optimal Reactive Power Dispatch Problem Using Exchange Market Based Butterfly Optimization Algorithm
Authors: BK Dora, A Rajan, S Mallick, S Halder
Year: 2023
Citation Count: 14

Start-up Transient Analysis Using CWT and Ridges for Broken Rotor Bar Fault Diagnosis
Title: Start-up Transient Analysis Using CWT and Ridges for Broken Rotor Bar Fault Diagnosis
Authors: S Halder, S Bhat, B Dora
Year: 2023
Citation Count: 14

Solution of Reactive Power Dispatch Problems Using Enhanced Dwarf Mongoose Optimization Algorithm
Title: Solution of Reactive Power Dispatch Problems Using Enhanced Dwarf Mongoose Optimization Algorithm
Authors: BK Dora, S Bhat, S Halder, M Sahoo
Year: 2023
Citation Count: 13

A Solution to the Techno-Economic Generation Expansion Planning Using Enhanced Dwarf Mongoose Optimization Algorithm
Title: A Solution to the Techno-Economic Generation Expansion Planning Using Enhanced Dwarf Mongoose Optimization Algorithm
Authors: BK Dora, S Bhat, S Halder, I Srivastava
Year: 2022
Citation Count: 8

A Solution to Multi Objective Stochastic Optimal Power Flow Problem Using Mutualism and Elite Strategy Based Pelican Optimization Algorithm
Title: A Solution to Multi Objective Stochastic Optimal Power Flow Problem Using Mutualism and Elite Strategy Based Pelican Optimization Algorithm
Authors: BK Dora, S Bhat, S Halder, I Srivastava
Year: 2024
Citation Count: 6

Optimum Scheduling and Dispatch of Power Systems with Renewable Integration
Title: Optimum Scheduling and Dispatch of Power Systems with Renewable Integration
Authors: A Rajan, BK Dora
Year: 2022
Citation Count: 5

Prediction of Broken Rotor Bar in Induction Motor Using Spectral Entropy Features and TLBO Optimized SVM
Title: Prediction of Broken Rotor Bar in Induction Motor Using Spectral Entropy Features and TLBO Optimized SVM
Authors: S Halder, S Bhat, B Dora
Year: 2022
Citation Count: 3

An Enhanced Path Finder Algorithm for the Estimation of the Stator Current Envelope to Detect Rotor Bar Breakage in an Induction Motor
Title: An Enhanced Path Finder Algorithm for the Estimation of the Stator Current Envelope to Detect Rotor Bar Breakage in an Induction Motor
Authors: S Halder, BK Dora, S Bhat
Year: 2024
Citation Count: 2