Harish Pulluri | Power |Excellence in Research

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Dr.Harish Pulluri | Power | Excellence in Research

Dr. Harish Pulluri, Anurag University,India.

Dr. Harish Pulluri is a prominent faculty member at Anurag University in India, specializing in [insert specific field or area of expertise]. With a robust academic background and a commitment to research, he has made significant contributions to [mention notable projects or publications]. Dr. Pulluri is passionate about enhancing student learning experiences and actively promotes innovative teaching methods within his courses. His dedication to education and research continues to inspire both students and colleagues alike.

Summary:

Dr. Harish Pulluri is a prominent faculty member at Anurag University, recognized for his contributions to [specific field or area of expertise]. With a robust academic background and a passion for research, he has made significant strides through various projects and publications. His commitment to enhancing student learning experiences and promoting innovative teaching methods underscores his dedication to education.

Professional Profiles:

Google Scholar

šŸŽ“ Education :

Dr. Pulluri earned his Ph.D. from the National Institute of Technology Hamirpur, specializing in optimal power flow methods. He also holds a Master of Technology in Electrical Power Systems from JBIET and a Bachelor of Technology in Electrical and Electronics Engineering from VCE, all completed with first-class distinctions.

šŸ¢Ā Experience:

Currently an Associate Professor in the Electrical & Electronics Engineering Department at Anurag University, Dr. Pulluri has accumulated significant teaching and research experience across various institutions, including Geethanjali College of Engineering & Technology and the National Institute of Technology Hamirpur. His roles have spanned from teaching assistant and research associate to his current position, where he is involved in mentoring students and guiding research projects.

šŸ› ļøSkills:

Dr. Harish Pulluri possesses extensive expertise in Electrical Power Systems, Power System Optimization, Metaheuristic Techniques, and Computer Aided Power System Analysis. Proficient in utilizing optimization toolboxes in MATLAB, he is well-versed in renewable energy sources and their applications.

Research Focus :

Dr. Pulluri’s research primarily centers around optimal power flow using metaheuristic approaches, with a keen interest in the optimization of electrical power systems. He has published numerous papers in international journals, focusing on topics such as multi-objective hydrothermal scheduling and economic dispatch with valve point loading. His work often explores innovative algorithms and their applications in enhancing power system performance and efficiency.

šŸ”¬Awards:

Throughout his career, Dr. Pulluri has received various recognitions, including serving as a coordinator for several technical events and short-term courses. He has delivered expert talks on energy harvesting technologies and research methodologies, contributing to the academic community and fostering innovation within the field of electrical engineering.

 

Conclusion:

Dr. Pulluri is a strong candidate for the Best Researcher Award, given his expertise, impactful contributions, and commitment to innovative teaching. While there are opportunities for him to broaden his research visibility and engagement, his influence as an educator and researcher is commendable. His dedication continues to inspire both students and colleagues, positioning him as a leader in his field.

Publications :

  • Pulluri, H., Naresh, R., & Sharma, V. (2017). An enhanced self-adaptive differential evolution based solution methodology for multiobjective optimal power flow. Applied Soft Computing, 54, 229-245.
  • Pulluri, H., Naresh, R., & Sharma, V. (2018). A solution network based on stud krill herd algorithm for optimal power flow problems. Soft Computing, 22, 159-176.
  • Basetti, V., Rangarajan, S. S., Shiva, C. K., Pulluri, H., Kumar, R., & Collins, R. E. (2021). Economic emission load dispatch problem with valve-point loading using a novel quasi-oppositional-based political optimizer. Electronics, 10(21), 2596.
  • Rao, U. M., Pulluri, H., & Kumar, N. G. (2018). Performance analysis of transformer oil/paper insulation with ester and mixed dielectric fluids. IEEE Transactions on Dielectrics and Electrical Insulation, 25(5), 1853-1862.
  • Pulluri, H., Naresh, R., & Sharma, V. (2017). Application of stud krill herd algorithm for solution of optimal power flow problems. International Transactions on Electrical Energy Systems, 27(6), e2316.
  • Vedik, B., Shiva, C. K., & Harish, P. (2020). Reverse harmonic load flow analysis using an evolutionary technique. SN Applied Sciences, 2(9), 1584.
  • Pulluri, H., Vyshnavi, M., Shraddha, P., Sai Priya, B., Sri Hari, T., & Preeti. (2020). Genetic algorithm with multi-parent crossover solution for economic dispatch with valve point loading effects. Innovations in Electrical and Electronics Engineering: Proceedings of the ā€¦
  • Pulluri, H., Goutham Kumar, N., Rao, U. Mohan, Preeti, & Kumar, M. G. (2019). Krill Herd Algorithm for solution of economic dispatch with valve-point loading effect. Applications of Computing, Automation and Wireless Systems in Electrical ā€¦
  • Sharma, V., Naresh, R., & Pulluri, H. (2016). Automatic generation control of multi-source interconnected power system including DFIG wind turbine. 2016 IEEE 1st International Conference on Power Electronics, Intelligent ā€¦
  • Vedik, B., Shiva, C. K., & Harish, P. (2020). Reverse harmonic load flow analysis using an evolutionary technique. SN Applied Sciences, 21584.
  • Pulluri, H., Naresh, R., & Sharma, V. (2016). A new colliding bodies optimization for solving optimal power flow problem in power system. 2016 IEEE 6th International Conference on Power Systems (ICPS), 1-6.
  • Srihari, T., Boppa, M., Anil Kumar, S., & Pulluri, H. (2020). The application of genetic algorithm with multi-parent crossover to optimal power flow problem. Innovations in Electrical and Electronics Engineering: Proceedings of the ā€¦
  • Dahiya, P., Dogra, S., Sharma, V., Pulluri, H., Gouthamkumar, N., & Rao, U. Mohan. (2019). Performance Analysis of Classical Controllers Tuned Using Heuristic Approaches for Frequency Regulation. Applications of Computing, Automation and Wireless Systems in Electrical ā€¦
  • Kalyan, C. H. N. S., Anusree, K., Goud, B. S., Pulluri, H., Gopi, P., & Sekhar, B. (2022). Falcon optimization algorithm based regulator for the study of automatic load frequency control. 2022 3rd International Conference on Communication, Computing and Industry 4 ā€¦
  • Mahender, K., Vyshnavi, M., Patange, S., & Pulluri, H. (2020). Solution of optimal power flow problem using colliding bodies optimization. AIP Conference Proceedings, 2269(1).
  • Sharma, V., Naresh, R., & Pulluri, H. (2015). Automatic generation control using disrupted gravitational search algorithm based proportional integral derivative controller. 2015 2nd International Conference on Recent Advances in Engineering ā€¦
  • Pulluri, H., Preeti, B., Vedik, B., & Kumar, T. A. (2022). A New Genetic Algorithm Variant Designed for Dynamic Economic Dispatch. Proceedings of 3rd International Conference on Machine Learning, Advances in ā€¦
  • Pulluri, H., Naresh, R., & Sharma, V. (2015). Solving non-convex and non-linear optimal power flow problems using colliding bodies optimization. 2015 2nd International Conference on Recent Advances in Engineering ā€¦
  • Pulluri, H., Basetti, V., Goud, B. Srikanth, & Kalyan, C. H. N. S. (2024). Exploring Evolutionary Algorithms for Optimal Power Flow: A Comprehensive Review and Analysis. Electricity, 5(4), 712-733.
  • Pulluri, H., Preeti, P., Kumar, T. A., Vedik, B., & Mahender, K. (2024). Heuristic algorithm based solution to dynamic economic dispatch problem. AIP Conference Proceedings, 2900(1).