Ayman AL-Quraan | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Ayman AL-Quraan | Engineering | Best Researcher Award

Associate Professor at Yarmouk University, Jordan

Dr. Ayman A. Al-Quraan, born in Abu Dhabi, UAE in 1986, is an Associate Professor in the Department of Electrical Power and Energy at Yarmouk University in Irbid, Jordan. He earned his Ph.D. in Electrical and Computer Engineering from Concordia University, Montreal, in 2016. After completing his doctoral studies, he undertook a brief postdoctoral position at Concordia University before joining Yarmouk University in 2017. He is the founder of the Power and Energy Research Lab at Yarmouk University and has significantly contributed to research in the fields of power systems and renewable energy. His research interests focus on optimizing hybrid renewable energy systems (HRES) and developing capacity determination and energy management strategies. Dr. Al-Quraan has served in various editorial roles for top-tier international journals and has received several research grants and funding for his projects. He is also recognized for his extensive academic contributions, having published several articles in well-respected journals and conferences. His work in renewable energy optimization and system modeling reflects his commitment to addressing global energy challenges through research and innovation.

Professional Profile

Education:

Dr. Ayman A. Al-Quraan completed his academic journey with a Ph.D. in Electrical and Computer Engineering from Concordia University in Montreal, Canada, in 2016. Prior to this, he obtained his Master’s degree in Electrical Power Engineering in 2011 and his Bachelor’s degree in Electrical Power Engineering in 2009, both from Yarmouk University, Jordan. His academic pursuits reflect a strong foundation in power engineering, with particular emphasis on energy systems and optimization. During his doctoral studies, Dr. Al-Quraan conducted advanced research in the field of urban wind energy estimation, contributing to the understanding of renewable energy potential in urban environments. His graduate studies at Yarmouk University were marked by excellence, as evidenced by scholarships and awards, including the King Abdullah Fund Grant during his undergraduate years. The combination of his diverse educational background and solid academic performance has positioned Dr. Al-Quraan as a leading figure in the power and energy sector, fostering significant contributions to both research and teaching. His doctoral research, in particular, allowed him to engage deeply with renewable energy technologies, a key area in his ongoing work at Yarmouk University.

Professional Experience:

Dr. Ayman A. Al-Quraan has extensive professional experience in both academic and industry settings. After completing his doctoral studies at Concordia University, he joined Yarmouk University in 2017, where he currently serves as an Associate Professor in the Department of Electrical Power and Energy. He has held various roles at Yarmouk University, including Assistant Professor and Research Assistant, and has contributed to the development of the university’s Power and Energy Research Lab. Additionally, he has participated as a Principal Investigator in several research projects, such as those focused on optimizing Hybrid Renewable Energy Systems (HRES), receiving funding from Yarmouk University for his innovative work. Dr. Al-Quraan’s professional background also includes industry experience at the National Electrical Power Company (NEPCO) in Jordan, where he worked as an Electrical Substation Engineer from 2008 to 2009. His industry experience complements his academic roles, allowing him to bridge the gap between theoretical research and practical application. Furthermore, Dr. Al-Quraan’s role as an editor and guest editor for several international journals, including those in the renewable energy field, further demonstrates his significant impact on the academic and professional community.

Research Interests:

Dr. Ayman A. Al-Quraan’s research interests lie at the intersection of renewable energy systems, power optimization, and energy management strategies. His work primarily focuses on the development and optimization of Hybrid Renewable Energy Systems (HRES), specifically addressing the challenges of integrating multiple energy sources, such as solar and wind, into a cohesive system for efficient power generation. He has conducted extensive research on predictive control and capacity determination strategies for renewable energy systems, aimed at maximizing energy yield and ensuring sustainability in both connected and isolated systems. Additionally, Dr. Al-Quraan is interested in the application of optimization techniques to solve complex energy management problems, such as those found in off-grid systems and urban energy solutions. His interdisciplinary approach combines electrical engineering, energy optimization, and control systems. As a Principal Investigator (PI) for a project related to n-layers optimization for HRES, Dr. Al-Quraan continues to push the boundaries of research in energy systems. His expertise in modeling and control has led to significant contributions to the understanding and development of efficient energy solutions that are critical to addressing global energy demands.

Research Skills:

Dr. Ayman A. Al-Quraan possesses a robust skill set that allows him to lead cutting-edge research in the fields of power engineering and renewable energy systems. His skills in modeling and optimization techniques have been critical in his work on Hybrid Renewable Energy Systems (HRES), where he applies advanced mathematical models to optimize energy production and consumption. Dr. Al-Quraan is proficient in the use of predictive control systems, which is central to his research on energy management strategies for renewable systems. He is also skilled in wind and solar energy estimation techniques, utilizing tools such as wind tunnels and data collection for urban energy analysis. As an academic editor and reviewer for several international journals, Dr. Al-Quraan demonstrates a keen eye for quality research and contributes his expertise to the scientific community. His ability to collaborate across disciplines, along with his strong knowledge of electrical power systems and renewable energy technologies, further enhances his research capabilities. Dr. Al-Quraan’s technical skills are complemented by his leadership in securing research funding, which has enabled him to spearhead innovative projects in energy optimization.

Awards and Honors:

Dr. Ayman A. Al-Quraan’s academic journey has been marked by numerous awards and honors that reflect his dedication and excellence in research and education. As a graduate student, he was awarded the Graduate Research Assistantship at Concordia University from 2012 to 2016, recognizing his outstanding research capabilities during his Ph.D. studies. He also received a Ph.D. scholarship from Yarmouk University, which supported his doctoral research in renewable energy. His undergraduate and graduate studies were funded by prestigious scholarships, including the King Abdullah Fund Grant, which allowed him to pursue his education with distinction. Dr. Al-Quraan was ranked first in both his Bachelor’s and Master’s degrees in Electrical Power Engineering at Yarmouk University, which is a testament to his academic excellence. These awards highlight Dr. Al-Quraan’s strong commitment to advancing the field of electrical power and energy systems, especially in the areas of renewable energy optimization and energy management strategies. His accomplishments have earned him recognition both locally and internationally, making him a prominent figure in the academic and professional energy sectors.

Conclusion:

Dr. Ayman A. Al-Quraan is an exemplary candidate for the Research for Best Researcher Award due to his profound contributions to the fields of electrical power engineering and renewable energy systems. His expertise in optimizing hybrid energy systems, coupled with his leadership in establishing research labs and securing funding, positions him as a leader in his field. Dr. Al-Quraan’s involvement in prestigious editorial roles and his publication record in top-tier journals further attests to his influence in the academic community. His work on energy management strategies, particularly in the context of hybrid renewable energy systems, has significant implications for sustainable energy solutions. While there are opportunities for further industry collaboration and public outreach, Dr. Al-Quraan’s research continues to drive innovation in energy systems, contributing to the global pursuit of sustainability. With a strong foundation in both academic research and practical experience, he is highly deserving of this prestigious award.

Publication Top Notes

  • Title: Urban wind energy: Some views on potential and challenges
    • Authors: T. Stathopoulos, H. Alrawashdeh, A. Al-Quraan, B. Blocken, A. Dilimulati, …
    • Journal: Journal of Wind Engineering and Industrial Aerodynamics
    • Volume: 179
    • Pages: 146-157
    • Citations: 229
    • Year: 2018
  • Title: Comparison of wind tunnel and on-site measurements for urban wind energy estimation of potential yield
    • Authors: A. Al-Quraan, T. Stathopoulos, P. Pillay
    • Journal: Journal of Wind Engineering and Industrial Aerodynamics
    • Volume: 158
    • Pages: 1-10
    • Citations: 80
    • Year: 2016
  • Title: Modelling, design and control of a standalone hybrid PV-wind micro-grid system
    • Authors: A. Al-Quraan, M. Al-Qaisi
    • Journal: Energies
    • Volume: 14 (16)
    • Article Number: 4849
    • Citations: 61
    • Year: 2021
  • Title: Active and reactive power control for wind turbines based DFIG using LQR controller with optimal Gain‐scheduling
    • Authors: A. Radaideh, M. Bodoor, A. Al-Quraan
    • Journal: Journal of Electrical and Computer Engineering
    • Year: 2021
    • Article Number: 1218236
    • Citations: 38
  • Title: Assessment of wind energy resources in Jordan using different optimization techniques
    • Authors: B. Al-Mhairat, A. Al-Quraan
    • Journal: Processes
    • Volume: 10 (1)
    • Article Number: 105
    • Citations: 29
    • Year: 2022
  • Title: Optimal coordination of wind power and pumped hydro energy storage
    • Authors: H. M. K. Al-Masri, A. Al-Quraan, A. AbuElrub, M. Ehsani
    • Journal: Energies
    • Volume: 12 (22)
    • Article Number: 4387
    • Citations: 25
    • Year: 2019
  • Title: Rolling horizon control architecture for distributed agents of thermostatically controlled loads enabling long-term grid-level ancillary services
    • Authors: A. Radaideh, A. Al-Quraan, H. Al-Masri, Z. Albataineh
    • Journal: International Journal of Electrical Power & Energy Systems
    • Volume: 127
    • Article Number: 106630
    • Citations: 22
    • Year: 2021
  • Title: Optimal prediction of wind energy resources based on WOA—A case study in Jordan
    • Authors: A. Al-Quraan, B. Al-Mhairat, A. M. A. Malkawi, A. Radaideh, H. M. K. Al-Masri
    • Journal: Sustainability
    • Volume: 15 (5)
    • Article Number: 3927
    • Citations: 20
    • Year: 2023
  • Title: Minimizing the utilized area of PV systems by generating the optimal inter-row spacing factor
    • Authors: A. Al-Quraan, M. Al-Mahmodi, K. Alzaareer, C. El-Bayeh, U. Eicker
    • Journal: Sustainability
    • Volume: 14 (10)
    • Article Number: 6077
    • Citations: 20
    • Year: 2022
  • Title: Machine learning classification and prediction of wind estimation using artificial intelligence techniques and normal PDF
    • Authors: H. H. Darwish, A. Al-Quraan
    • Journal: Sustainability
    • Volume: 15 (4)
    • Article Number: 3270
    • Citations: 19
    • Year: 2023

 

Giseo Park | Mechanical Engineering | Best Researcher Award

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Assist. Prof. Dr. Giseo Park | Mechanical engineering | Best Researcher Award

Assistant professor at University of Ulsan, South Korea

Giseo Park is an Assistant Professor at the School of Mechanical Engineering, University of Ulsan, South Korea. He holds a Ph.D. in Mechanical Engineering from KAIST and has substantial experience in both academia and industry. Prior to joining the University of Ulsan, he worked as a senior engineer at Hyundai Motor Company, specializing in vehicle control and dynamics. Dr. Park’s expertise lies in the control and dynamics of autonomous and electric vehicles, with a focus on vehicle actuator control and vehicle state estimation. His innovative research contributes to advancements in vehicle control systems, particularly in enhancing the performance of electric and autonomous vehicles. Throughout his academic and professional career, he has actively participated in research projects, with a particular focus on vehicle dynamics and control algorithms. Dr. Park has published numerous articles in high-impact journals and has received prestigious awards recognizing his contributions to the field. His passion for vehicle engineering and technological advancements has made him a prominent figure in both academic and industry circles.

Professional Profile

Education

Giseo Park completed his Ph.D. in Mechanical Engineering from KAIST (Korea Advanced Institute of Science and Technology) in 2020. Prior to his doctoral studies, he obtained a Master’s degree in Mechanical Engineering from the same institution, KAIST, in 2016. His academic journey began with a Bachelor’s degree in Mechanical Engineering from Hanyang University, South Korea, in 2014. Dr. Park’s education has provided him with a robust foundation in mechanical engineering, particularly in the areas of vehicle dynamics, control systems, and automation. His doctoral research focused on autonomous vehicle control and the development of optimal driving control strategies for electric vehicles, integrating advanced algorithms to enhance vehicle performance. Throughout his academic career, he has gained extensive knowledge in various mechanical engineering domains, which he applies in both his research and teaching. His academic achievements are complemented by his active engagement in the automotive industry, where he applied his theoretical knowledge in real-world engineering applications at Hyundai Motor Company. His educational background is a key asset in his current academic role, where he continues to mentor students and contribute to research advancements.

Professional Experience

Dr. Giseo Park has a solid professional background, combining both academic and industry experience. Since March 2021, he has been serving as an Assistant Professor at the School of Mechanical Engineering at the University of Ulsan, where he teaches and conducts research in vehicle dynamics and autonomous systems. Prior to his academic career, Dr. Park worked as a Senior Engineer at Hyundai Motor Company from March 2020 to February 2021. In this role, he contributed to the development of cutting-edge vehicle control technologies, focusing on electric vehicle dynamics and autonomous systems. His time at Hyundai allowed him to bridge the gap between theoretical research and practical engineering applications. This experience has been invaluable in shaping his current research direction, particularly in vehicle control algorithms and actuator design. Throughout his professional journey, Dr. Park has developed a unique blend of academic expertise and industry insight, which enables him to approach research from a holistic perspective. His current position at the University of Ulsan allows him to further refine his research while guiding the next generation of engineers in the rapidly advancing fields of autonomous and electric vehicle technologies.

Research Interests

Dr. Giseo Park’s primary research interests are focused on autonomous vehicle control, electric vehicle dynamics, and vehicle actuator systems. His work integrates control theory, optimization algorithms, and sensor fusion techniques to improve the performance and safety of autonomous and electric vehicles. Specifically, Dr. Park is deeply engaged in the development of optimal control strategies for autonomous driving systems, utilizing advanced methods such as artificial potential fields and adaptive Kalman filters. His research extends to vehicle state estimation, including vehicle positioning, lateral motion control, and sensor fusion for accurate path tracking. Additionally, Dr. Park has explored the application of model predictive control (MPC) to enhance the cornering and handling performance of electronic four-wheel-drive vehicles. He is also interested in advancing the capabilities of electric vehicle powertrains, particularly in terms of actuator control and energy efficiency. With an emphasis on real-time control and adaptive algorithms, his research aims to contribute to the broader field of intelligent transportation systems. His work has significant implications for the development of safer, more efficient, and environmentally sustainable transportation technologies, particularly in the context of the rapidly growing autonomous vehicle market.

Research Skills

Dr. Giseo Park possesses a diverse set of research skills in the fields of mechanical engineering and automotive technology. His expertise includes control systems, vehicle dynamics, and optimization techniques. He is highly skilled in vehicle modeling, simulation, and control algorithm development, utilizing advanced techniques such as artificial potential fields, model predictive control, and Kalman filtering. His research often involves the integration of multiple sensors for accurate vehicle state estimation and path planning, a skill he has honed through years of both academic study and practical experience. Dr. Park is proficient in using computational tools and software such as MATLAB/Simulink for system modeling and simulation. Additionally, he is experienced in the development and application of real-time control systems for both electric and autonomous vehicles. His ability to combine theoretical insights with practical engineering solutions has made him adept at addressing complex problems in vehicle control and dynamics. Dr. Park’s research also includes significant work in sensor fusion, real-time system integration, and the application of control systems to enhance the performance of autonomous vehicles in dynamic environments. His skills are continuously evolving through his ongoing involvement in industry collaborations and research projects.

Awards and Honors

Dr. Giseo Park has been recognized for his outstanding contributions to the field of automotive engineering through various prestigious awards. In 2024, he received the International Journal of Automotive Technology (IJAT) 발전기여상 for his valuable contributions to the automotive engineering community. In 2020, he was honored with the Mechanical Engineering Excellence Award from KAIST, recognizing his exceptional performance in mechanical engineering research and academics. Additionally, Dr. Park has received the Best Presentation Paper Award from the Korea Society of Automotive Engineers in 2014 for his innovative research in vehicle dynamics and control systems. These accolades reflect his dedication to advancing the automotive industry through research and innovation. His recognition is a testament to his ongoing impact in the fields of autonomous vehicle technology, electric vehicle control, and vehicle dynamics. Dr. Park’s research and technical contributions continue to garner the attention and respect of both academic and industry communities, positioning him as a leading researcher in his field.

Conclusion

Dr. Giseo Park is a highly accomplished researcher and educator with a deep commitment to advancing the fields of vehicle control and dynamics, particularly in the context of autonomous and electric vehicles. His impressive academic background, combined with industry experience at Hyundai Motor Company, allows him to approach research with a practical mindset while contributing to the theoretical foundations of vehicle engineering. Dr. Park’s research on vehicle actuator control, state estimation, and autonomous vehicle path planning has led to significant advancements in automotive technology. His work continues to influence the development of safer, more efficient transportation systems, especially with regard to the integration of autonomous vehicles. With numerous awards and publications in top-tier journals, Dr. Park has proven himself as a leader in his field. His ongoing research projects and his role as an assistant professor at the University of Ulsan reflect his commitment to educating future engineers and continuing to push the boundaries of vehicle technology. Given his exceptional academic and professional achievements, Dr. Park is a strong candidate for the Best Researcher Award, as his work aligns with the criteria of innovation, impact, and excellence in research.

Publication Top Notes

  1. Online adaptive identification of clutch torque transmissibility for the drivability consistency of high-performance production vehicles
    • Authors: Kim, S., Lee, H., Kim, J., Park, G.
    • Year: 2024
    • Citations: 2
  2. Optimal vehicle position estimation using adaptive unscented Kalman filter based on sensor fusion
    • Authors: Park, G.
    • Year: 2024
    • Citations: 8
  3. Autonomous-Driving Control of Differential Drive Robots with Switching between Lane Recognition and Map-Based Path Tracking
    • Authors: Jo, M.S., Park, G.S.
    • Year: 2024
  4. Path Tracking Control for Differential Drive Robots Using Lane Recognition
    • Authors: Park, G., Jo, M.
    • Year: 2024 (IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2024)
  5. Optimal Driving Control for Autonomous Electric Vehicles Based on In-Wheel Motors Using an Artificial Potential Field
    • Authors: Park, G., Kim, S., Kang, H.
    • Year: 2024
  6. Developing a Model-Based Control Algorithm for Automatic Excavator Systems
    • Authors: Park, G.S.
    • Year: 2024
    • Citations: 1
  7. Optimal Path Planning for Autonomous Vehicles Using Artificial Potential Field Algorithm
    • Authors: Park, G., Choi, M.
    • Year: 2023
    • Citations: 8
  8. Model-Based Control of Automatic Excavator Using Kinematic Models of Operation Part
    • Authors: Park, G., Jeon, P., Ahn, K.
    • Year: 2023 (3rd International Conference on Robotics, Automation, and Artificial Intelligence, RAAI 2023)
  9. Automatic Excavator Control Using Model-Based Control Algorithm
    • Authors: Jeon, P., Park, G.
    • Year: 2023 (26th International Conference on Mechatronics Technology, ICMT 2023)
  10. Unscented Kalman Filter for Estimation of Vehicle Velocity in Real Time
    • Authors: Park, G.
    • Year: 2023 (7th International Conference on Automation, Control, and Robots, ICACR 2023)

 

De-Rui Dai | Mechanical Engineering | Best Researcher Award

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Mr. De-Rui Dai | Mechanical Engineering | Best Researcher Award

Top Youth Talen at North China Electric Power University, China

De-Rui Dai, a PhD candidate at North China Electric Power University, is a notable figure in sustainable engineering, focusing on the condition monitoring and failure prevention of electric machines, vibration theory, and multi-physics field analysis. His research, supported by national and provincial grants, addresses critical challenges in electrical system reliability and efficiency. Dai’s work is impactful in China’s energy sector, with collaborative efforts evident in his publications in leading journals. His applied research on insulation wearing and thermal load characteristics contributes to advancements in energy storage and generator technology. Although not directly related to environmental health, his research promotes sustainability by enhancing energy system performance. Recognized with several prestigious awards, including the Graduate Student First-Class Scholarship and the Grand Prize for Technological Innovation, Dai exemplifies leadership and innovation in sustainable engineering, making him a strong candidate for the Research for Sustainable Engineering Leadership Award.

Profile

Education

De-Rui Dai earned his Bachelor’s degree in Mechatronics Engineering from North China Electric Power University in June 2021, demonstrating early excellence in a multidisciplinary field combining mechanical and electronic engineering. He continued his academic journey at the same institution, pursuing a Ph.D. in Power Engineering and Engineering Thermal Physics, a program he commenced in September 2021 and is expected to complete in December 2025. Throughout his studies, he has been recognized for his outstanding performance, receiving multiple scholarships, including the Graduate Student First-Class Scholarship in 2021 and 2022. In addition, he has been honored as an Outstanding Graduate Student in 2023 and has received accolades for his contributions to equipment management and technological innovation. His academic background reflects a strong foundation in engineering principles and a commitment to advancing knowledge in power engineering and thermal physics.

Professional Experience

De-Rui Dai has garnered extensive professional experience in the field of Power Engineering and Engineering Thermal Physics. Currently, as a Ph.D. candidate at North China Electric Power University, he has actively participated in high-impact research projects, including those funded by the National Natural Science Foundation of China and the Natural Science Foundation of Hebei Province. His role involves investigating the complex mechanical properties of generator stator windings and insulation wear under various operational conditions. Previously, Dai has worked on projects related to flywheel energy storage and vibration control, showcasing his expertise in condition monitoring and failure prevention. His contributions extend to leading innovation in large-scale energy systems, evidenced by his role in developing high-pressure additive manufacturing valves and manifolds. His professional journey is marked by significant advancements in energy technology, underscored by a series of prestigious awards and recognitions for his research and technological innovations.

Research Contributions

De-Rui Dai’s research contributions are highly relevant to the field of Power Engineering and Engineering Thermal Physics. His work focuses on condition monitoring and failure prevention of electric machines, particularly in the context of flywheel energy storage, vibration theory and control, and multi-physics field analysis of electric machines. His research has led to significant advancements in understanding the complex mechanical properties and insulation wear patterns in large-capacity generators. These contributions are instrumental in improving the reliability and performance of power generation systems.

Geographic Impact

De-Rui Dai’s research has a significant impact within China, particularly through his involvement with national and provincial research projects. His work on generator stator windings and insulation deterioration under various conditions is directly applicable to large-scale energy systems in China. The results of his research contribute to the development of more reliable and efficient energy solutions, benefiting both industrial and residential energy users across the country.

Collaborative Efforts

De-Rui Dai has demonstrated strong collaborative skills through his participation in several high-profile research projects. His work often involves collaboration with other researchers and institutions, such as the National Natural Science Foundation of China and the Natural Science Foundation of Hebei Province. This collaborative approach is evident in his co-authored publications, where he works with multiple researchers to address complex engineering challenges and advance the field.

Applied Research

Dai’s research has practical applications in the energy sector, particularly in the design and maintenance of large generators. His studies on insulation wear and mechanical properties under various operational conditions provide valuable insights for improving the durability and efficiency of power generation equipment. This applied research is crucial for developing technologies that enhance the performance and reliability of energy systems.

Specific Projects and Publications

De-Rui Dai has been involved in several significant research projects, including those funded by the National Natural Science Foundation of China and the Natural Science Foundation of Hebei Province. His recent publications in reputable journals, such as IET Electric Power Applications and Alexandria Engineering Journal, highlight his contributions to the understanding of stator and rotor vibrations, dynamic air-gap eccentricity faults, and insulation damage. These publications reflect his ongoing commitment to advancing knowledge in his field and addressing key engineering challenges.

Environmental Health

While De-Rui Dai’s research primarily focuses on engineering and power systems, the implications of his work can indirectly contribute to environmental health. By improving the efficiency and reliability of power generation systems, his research helps reduce the environmental impact of energy production, leading to cleaner and more sustainable energy solutions.

Vector Control

De-Rui Dai’s work does not directly address vector control. However, the principles of vibration theory and failure prevention in electric machines could potentially be applied to various technological solutions that impact public health and safety.

Parasitology and Infectious Diseases

De-Rui Dai’s research does not encompass parasitology or infectious diseases. His expertise is centered around power engineering and thermal physics, with a focus on mechanical and electrical systems rather than biological sciences.

Awards and Recognition

De-Rui Dai has received several prestigious awards, including the Graduate Student First-Class Scholarship, Outstanding Graduate Student award, and the Grand Prize for Equipment Management and Technological Innovation. These accolades recognize his exceptional academic achievements and contributions to the field of power engineering.

Conclusion

De-Rui Dai’s impressive academic background, extensive research contributions, and significant awards make him a strong candidate for the Research for Best Researcher Award. His work in power engineering addresses critical challenges in energy systems, with practical applications that enhance the performance and reliability of power generation technologies. His collaborative efforts, applied research, and notable publications underscore his impact and innovation in the field.

Publications Top Notes

  1. A comprehensive study on electromagnetic torque and rotor UMP based on an improved 3D static air-gap eccentricity model
    📝 Authors: Xu, M.-X., He, Y.-L., Zhang, W., Pang, Z.-W., Gerada, D.
    📅 Year: 2024
    🏢 Journal: Alexandria Engineering Journal
    🔢 Volume: 105
    📄 Pages: 370–380
    📉 Citations: 0
  2. Mechanical properties and insulation damage of PMSG stator end windings with eccentricity considerations
    📝 Authors: Dai, D.-R., He, Y.-L., Xu, M.-X., Fu, Z.-X., Gerada, D.
    📅 Year: 2024
    🏢 Journal: Alexandria Engineering Journal
    🔢 Volume: 105
    📄 Pages: 156–169
    📉 Citations: 0
  3. Cable Conduit Defect Recognition Algorithm Based on Improved YOLOv8
    📝 Authors: Kong, F., Zhang, Y., Zhan, L., Zheng, H., Dai, D.
    📅 Year: 2024
    🏢 Journal: Electronics (Switzerland)
    🔢 Volume: 13(13)
    📄 Pages: 2427
    📉 Citations: 0
  4. Impact of rotor interturn short circuit on stator thermal response characteristics in turbo generator
    📝 Authors: Zhang, W., He, Y., Xu, M., Wang, X., Li, J.
    📅 Year: 2024
    🏢 Journal: Dianji yu Kongzhi Xuebao/Electric Machines and Control
    🔢 Volume: 28(6)
    📄 Pages: 13–24
    📉 Citations: 0
  5. Comprehensive Investigation of Winding Mechanical Properties in Generators under RISC: Impact of Position, Degree, and Eccentricity
    📝 Authors: Xu, M.-X., He, Y.-L., Zhang, W., Zhang, Y.-S., Gerada, D.
    📅 Year: 2024
    🏢 Journal: IEEJ Transactions on Electrical and Electronic Engineering
    🔢 Volume: N/A
    📄 Pages: N/A
    📉 Citations: 0
  6. Diagnosis Method for Eccentric Fault Severity of Permanent Magnet Synchronous Generator Based on Bearing Seat Vibration Characteristics
    📝 Authors: He, Y., Fu, Z., Xu, M., Xing, Y., Wang, X.
    📅 Year: 2024
    🏢 Journal: Lecture Notes in Electrical Engineering
    🔢 Volume: 1165 LNEE
    📄 Pages: 148–156
    📉 Citations: 0
  7. Experimental Simulation and Electromechanical Characterization of Dynamic Air Gap Eccentricity Faults in PMSG
    📝 Authors: He, Y.-L., Dai, D.-R., Xu, M.-X., Zheng, W.-J., Gerada, D.
    📅 Year: 2023
    🏢 Journal: IEEJ Transactions on Electrical and Electronic Engineering
    🔢 Volume: 18(12)
    📄 Pages: 1903–1913
    📉 Citations: 1
  8. Rotor Mechanics Behavior Characteristics for Diagnosis SAGE Fault in PMSG with Load Change
    📝 Authors: Zhang, W., He, Y.-L., Bai, Y.-F., Dai, D.-R., Xu, M.-X.
    📅 Year: 2023
    🏢 Conference: 2023 26th International Conference on Electrical Machines and Systems (ICEMS 2023)
    📄 Pages: 1277–1283
    📉 Citations: 0
  9. Impact of Radial Air-Gap Eccentricity on Stator End Winding Vibration Characteristics in DFIG
    📝 Authors: Xu, M.-X., He, Y.-L., Zhang, W., Gerada, D., Shi, S.-Z.
    📅 Year: 2022
    🏢 Journal: Energies
    🔢 Volume: 15(17)
    📄 Pages: 6426
    📉 Citations: 2
  10. Analysis of the Characteristics of Stator Circulating Current Inside Parallel Branches in DFIGs Considering Static and Dynamic Air-Gap Eccentricity
    📝 Authors: He, Y.-L., Liu, X.-A., Xu, M.-X., Wan, S.-T., Gerada, D.
    📅 Year: 2022
    🏢 Journal: Energies
    🔢 Volume: 15(17)
    📄 Pages: 6152
    📉 Citations: 2

 

 

SUDHANSU SEKHAR MISHRA | MECHANICAL ENGINEERING | Best Researcher Award

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Dr. SUDHANSU SEKHAR MISHRA | MECHANICAL ENGINEERING | Best Researcher Award

ASSISTANT PROFESSOR at GOVERNMENT COLLEGE OF ENGINEERING KEONJHAR ODISHA INDIA, India.

Dr. Sudhansu Sekhar Mishra is an Assistant Professor in the Mechanical Engineering Department at the Government College of Engineering in Keonjhar, Odisha, India. He holds a Ph.D. in Bio-fuel from C V Raman Global University, Bhubaneswar, and has a strong background in mechanical engineering, with expertise in areas such as bio-fuels, heat exchangers, optimization, and multiphase flow. Dr. Mishra has a robust academic profile, including a Master’s degree from the National Institute of Foundry & Forge Technology and a Bachelor’s degree from Seemanta Engineering College. Throughout his career, he has gained valuable experience through teaching and research positions at various institutions. His research interests and skills encompass experimental techniques, computational modeling, data analysis, and optimization. Dr. Mishra’s dedication to advancing knowledge in mechanical engineering is evident through his active involvement in research and academic activities.

Professional Profiles:

Education:

Dr. Mishra’s academic journey includes a Ph.D. in Bio-fuel from C V Raman Global University, Bhubaneswar, awarded in 2023. Prior to his doctoral studies, he obtained an M.Tech. in FFT (Foundry & Forge Technology) from the National Institute of Foundry & Forge Technology, Ranchi, in 2013, achieving a commendable CGPA of 7.83/10. His undergraduate education comprised a B.Tech. in Mechanical Engineering from Seemanta Engineering College, Mayurbhanj, Odisha, in 2006, where he attained a solid academic performance with a score of 72%. Dr. Mishra initiated his academic journey with a Diploma in Science from SCTE&VT, Odisha, in 2001, and completed his secondary education with distinction under the Board of Secondary Education, Odisha, in 1998.

Work Experience:

Dr. Sudhansu Sekhar Mishra has accumulated significant professional experience in academia, contributing his expertise to various educational institutions. Currently serving as an Assistant Professor at the Government College of Engineering, Keonjhar, since October 21, 2016, he plays a crucial role in guiding and mentoring students. Prior to this role, Dr. Mishra worked as an Assistant Professor at GIFT, Bhubaneswar, from July 1, 2013, to October 20, 2016, where he made substantial contributions to the academic and research environment. He began his career as a Lecturer at BCET, Balasore, on July 9, 2007, and served until July 31, 2011, laying the foundation for his teaching career. Throughout his tenure in academia, Dr. Mishra has demonstrated dedication to education, fostering learning, and nurturing the next generation of engineers.

Research Interest:

Dr. Sudhansu Sekhar Mishra’s research interests span several critical areas within mechanical engineering. His primary focus lies in bio-fuels, where he explores innovative approaches to enhance fuel efficiency and sustainability. Additionally, Dr. Mishra is deeply engaged in research related to three-fluid heat exchangers, aiming to optimize their design and performance for various applications. His expertise extends to areas such as natural convection and multiphase flow, where he investigates phenomena essential for understanding and improving heat transfer processes. Furthermore, Dr. Mishra is involved in research on conjugate heat transfer, seeking to elucidate the complex interactions between fluid flow and heat transfer in different systems. Through his diverse research interests, Dr. Mishra contributes to advancing knowledge and addressing critical challenges in mechanical engineering.

Award and Honors:

Dr. Sudhansu Sekhar Mishra’s dedication to academic excellence and research has earned him recognition and accolades throughout his career. His notable achievements include receiving prestigious awards and honors in the field of mechanical engineering. Dr. Mishra has been commended for his outstanding contributions to research and innovation, reflecting his commitment to advancing knowledge and addressing critical challenges in his field. These awards serve as a testament to Dr. Mishra’s expertise and leadership in mechanical engineering and underscore his significant impact on the academic and scientific community.

Research Skills:

Dr. Sudhansu Sekhar Mishra possesses a diverse set of research skills that enable him to conduct cutting-edge studies and contribute to the advancement of knowledge in mechanical engineering. His expertise includes proficiency in experimental techniques, data analysis, and computational modeling. Dr. Mishra is skilled in conducting literature reviews, designing experiments, and collecting and analyzing data using various statistical methods and software tools. Additionally, he has experience in numerical simulations, finite element analysis, and computational fluid dynamics. Dr. Mishra’s research skills also extend to the development and optimization of engineering systems, as well as the interpretation and dissemination of research findings through publications and presentations. His comprehensive skill set allows him to tackle complex research problems and generate impactful insights that contribute to the field of mechanical engineering.

Publications:

  1. Thermo-hydraulic performance augmentation in residential heating applications using a novel multi-fluid heat exchanger with helical coil tube insertion
    • Authors: Almasri, B., Mishra, S.S., Mohapatra, T.
    • Citations: 1
    • Year: 2024
  2. Experimental investigation and performance optimization of thermo-hydraulic and exergetic characteristics of a novel multi-fluid heat exchanger
    • Authors: Almasri, B., Mohapatra, T., Mishra, S.S.
    • Citations: 0
    • Year: 2023
  3. Performance, emissions, and economic evaluation of a VCR CI engine using a bio-ethanol and diesel fuel combination with Al2O3 nanoparticles
    • Authors: Mohapatra, T., Mishra, S.S., Sahoo, S.S., Albani, A., Awad, M.M.
    • Citations: 2
    • Year: 2023
  4. Determination of the sustainability index along with energy-exergy-emission-economic analysis of a VCR diesel engine fuelled with diesel-bioethanol-Al2O3 nanoparticles
    • Authors: Mohapatra, T., Mishra, S.S., Sahoo, S.S.
    • Citations: 2
    • Year: 2023
  5. Experimentation and Performance Parametric Optimization of Soybean-Based Biodiesel Fired Variable Compression Ratio CI Engine Using Taguchi Method
    • Authors: Mishra, P., Mahapatra, T., Padhi, B.N., Sahoo, S.S., Mishra, S.S.
    • Citations: 1
    • Year: 2023
  6. Functional Investigation, Multiple Response Optimization, and Economic Analysis of a VCR CI Engine Fired with Diesel, Calophyllum Inophyllum Oil, and Waste Biomass-Derived Producer Gas in Multi-fuel Mode
    • Authors: Mishra, S.S., Mohapatra, T., Sahoo, S.S.
    • Citations: 2
    • Year: 2023
  7. Multi-response optimization of energy, exergy, emission, economic characteristics of a variable compression ratio diesel engine fuelled with diesel–bioethanol–Al2O3 nanoparticle blend using Taguchi–Grey approach
    • Authors: Mishra, S.S., Mohapatra, T.
    • Citations: 0
    • Year: 2023
  8. Taguchi and ANN-based optimization method for predicting maximum performance and minimum emission of a VCR diesel engine powered by diesel, biodiesel, and producer gas
    • Authors: Mohapatra, T., Mishra, S.S., Bathre, M., Sahoo, S.S.
    • Citations: 41
    • Year: 2023
  9. Energy-exergy-emission-economic performance and multi-response optimisation of a VCR CI engine using bio ethanol blended diesel fuel with Al2O3 nanoparticles
    • Authors: Mishra, S.S., Mohapatra, T.
    • Citations: 4
    • Year: 2023
  10. Parametric optimization of a VCR diesel engine run on diesel-bioethanol-Al2O3 nanoparticles blend using Taguchi-Grey and RSM method: a comparative study
    • Authors: Mohapatra, T., Mishra, S.S.
    • Citations: 2
    • Year: 2023