Emrah Cetin |Electric Machines | Best Researcher Award

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Assist. Prof. Dr. Emrah Cetin |Electric Machines | Best Researcher Award

Assistant Professor,Tarsus University,Turkey

Assist. Prof. Dr. Emrah Çetin is a faculty member in the Department of Electrical and Electronics Engineering at Tarsus University, Turkey. His research focuses on electric vehicle technologies, motor design, and energy systems. Dr. Çetin has contributed extensively to the development of permanent magnet motors, machine learning applications in autonomous vehicles, and electric drive systems. He has published widely in scientific journals and conferences, showcasing expertise in advanced motor designs and renewable energy technologies

Summary:

Assist. Prof. Dr. Emrah Cetin is a highly skilled and dedicated academic and researcher with a focus on electric machine design, motor drives, and renewable energy systems. His solid academic background, postdoctoral research, and diverse international collaborations position him as a promising candidate for the Best Researcher Award. His research interests align with crucial global challenges, and his academic contributions have the potential to influence both academic and practical advancements in electrical engineering.

 

Professional Profiles:

Scopus

Google Scholar

🎓 Education :

Dr. Emrah Çetin holds a PhD in Electrical and Electronics Engineering from Erciyes University (2012–2018), where he focused on advanced electric machine design and analysis. He also earned his Master’s degree in the same field from Erciyes University (2010–2012), specializing in motor design and power electronics applications. He completed his undergraduate studies in Electrical and Electronics Engineering at Gazi University (2005–2010), establishing a strong foundation in electrical systems.

 

🏢 Experience:

Dr. Çetin is currently an Assistant Professor at Yozgat Bozok University in the Engineering and Architecture Faculty (2018–Present), where he leads research in electric machine design, power electronics, and renewable energy technologies. Previously, he worked as a Postdoctoral Research Associate at the University of Sheffield (2021–2022), focusing on electric machine designs for industrial applications. He also served as a Research Scholar at the University of Wisconsin-Madison’s WEMPEC group (2015–2016), conducting research in electric machine design and power electronics. Earlier, he contributed as a Research Assistant at Erciyes University (2010–2018), participating in several funded projects on electric vehicle motor designs.

🛠️Skills:

Dr. Çetin possesses specialized expertise in electric machine design, particularly in axial flux and permanent magnet machines. He is proficient in developing advanced motor drives for electric vehicles, including the use of brushless DC motors and SiC MOSFETs. His strong knowledge in power electronics and renewable energy technologies, such as wind energy, complements his work on motor drives and electric vehicles. He is fluent in both Turkish and English, which supports his international collaboration and communication in academic research.

 

Research Focus :

Dr. Emrah Çetin’s research focuses on sustainable energy solutions through electric machine design and power electronics. His work is centered on enhancing the efficiency and performance of electric vehicles, particularly through the development of axial flux machines and permanent magnet motors. He also explores renewable energy systems, including wind energy, aiming to create innovative, efficient designs that address the growing global demand for sustainable technologies.

 

🔬Awards:

Dr. Çetin has successfully managed and completed multiple projects, including the “Brushless DC motor drive design for electric vehicles using SiC MOSFETs” (2022) and “Hub Motor Design for Electric Vehicles” (2020). His research contributions are recognized through a h-index of 6, indicating significant academic influence in the field of electrical engineering.

 

Conclusion:

Dr. Cetin demonstrates substantial strengths as an academic and researcher, with a focused and promising research trajectory. However, there is room for growth in terms of increasing his research visibility and broadening his collaborative efforts. With strategic improvements in these areas, Dr. Cetin has the potential to make even more significant contributions to the field of electrical engineering and related industries. Therefore, he is a suitable candidate for the Best Researcher Award, especially considering his ongoing commitment to advancing knowledge in key technological sectors.

 Publications:

  • Cogging torque reduction by utilizing the unequal rotor slot arc method for FSPM Machines
    Author: Çetin, E.
    Journal: Ain Shams Engineering Journal, 2024, 15(11), Article ID: 103008.
    Citations: 0

 

  • The Effects of the Unequal Rotor Slot Arc on Cogging Torque for Flux Switching Permanent Magnet Machines
    Author: Çetin, E.
    Journal: El-Cezeri Journal of Science and Engineering, 2024, 11(1), pp. 73–80.
    Citations: 0

 

  • Rotor pole and stator tooth shaping in FSPM machines for torque performance optimization
    Authors: Çetin, E., Zhu, Z.Q.
    Journal: COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2024.
    Citations: 0

 

  • Solution of Real-Time Traffic Signs Detection Problem for Autonomous Vehicles by Using YOLOV4 and Haar Cascade Algorithms
    Authors: Ortataş, F.N., Çetin, E.
    Journal: International Journal of Automotive Science and Technology, 2023, 7(2), pp. 125–140.
    Citations: 2

 

  • Torque Effects of the Stator Slot Opening Geometry Error in Production of Axial Flux PM Motors
    Author: Çetin, E.
    Journal: El-Cezeri Journal of Science and Engineering, 2022, 9(3), pp. 1005–1012.
    Citations: 0

 

  • The Performance Comparison of the SiC and Si Mosfets Used in the 3-Phase Brushless DC Motor Drives for Electric Vehicles
    Authors: Sevım, E., Çetin, E.
    Journal: International Journal of Automotive Science and Technology, 2022, 6(4), pp. 331–339.
    Citations: 3

 

  • Optimization of Torque Performance of FSPM Machines by Rotor Pole Shaping using FEA and Genetic Algorithm
    Authors: Çetin, E., Zhu, Z.Q.
    Conference: SMART 2022, 2nd International Conference on Sustainable Mobility Applications, Renewables, and Technology, 2022.
    Citations: 4

 

  • Lane Tracking with Deep Learning: Mask RCNN and Faster RCNN
    Authors: Ortatas, F.N., Çetin, E.
    Conference: ASYU 2022, Innovations in Intelligent Systems and Applications Conference, 2022.
    Citations: 5

 

  • Comparative Study of Yokeless Dual-rotor and External-rotor Radial-Flux Fractional-Slot PM Machines
    Authors: Ran, Z.T., Zhu, Z.Q., Wei, F.R., Çetin, E.
    Conference: ICEM 2022, International Conference on Electrical Machines, 2022, pp. 1913–1919.
    Citations: 3

 

  • Traffic sign recognition and the application of simulation using machine learning in electric and autonomous vehicles
    Authors: Ortataş, F.N., Çetin, E.
    Journal: El-Cezeri Journal of Science and Engineering, 2021, 8(3), pp. 1081–1092.
    Citations: 4

 

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

🎓 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.

🏢 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.

🛠️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.

🔬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 …
  • 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 …
  • 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 …
  • 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 …
  • 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 …
  • 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 …
  • 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 …
  • 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 …
  • 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 …
  • 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).