Kuo Liu | Engineering | Best Researcher Award

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Prof. Kuo Liu | Engineering | Best Researcher Award

Deputy director at Dalian University of Technology, China

Liu Kuo is a distinguished professor and doctoral supervisor at the School of Mechanical Engineering, Dalian University of Technology. He serves as the deputy director of the Intelligent Manufacturing Longcheng Laboratory and has been recognized as a young top talent in China’s “Ten Thousand People Plan.” He has also been honored under the Liaoning Province “Xingliao Talent Plan” and is regarded as a high-end talent in Dalian City. In addition to his academic and administrative roles, Liu Kuo holds significant positions in national standardization committees. He is a member of the National Industrial Machinery Electrical System Standardization Technical Committee (TC231) and the National Metal Cutting Machine Tool Standard Committee Five-Axis Machine Tool Evaluation Standards Working Group (TC22/WG3). Furthermore, he serves as a review expert for the Chinese Mechanical Engineering Society on “Machine Tool Equipment Manufacturing Maturity.” His expertise spans precision maintenance theory, real-time thermal error compensation, intelligent monitoring technology, and performance optimization for CNC machine tools. With extensive contributions to research, Liu Kuo has led over 20 major scientific projects and has published more than 80 high-impact papers. His work has resulted in numerous patents and software copyrights, reinforcing his status as a leading researcher in intelligent manufacturing and CNC technology.

Professional Profile

Education

Liu Kuo has pursued an extensive academic journey in mechanical engineering, culminating in his current role as a professor at Dalian University of Technology. He obtained his bachelor’s, master’s, and doctoral degrees in Mechanical Engineering from prestigious institutions in China. His academic training provided a strong foundation in advanced manufacturing, precision engineering, and intelligent monitoring systems. Throughout his education, Liu Kuo specialized in CNC machine tools, focusing on precision maintenance theory and real-time error compensation. His doctoral research was instrumental in developing innovative methodologies for optimizing machine tool performance. As a committed scholar, he actively engaged in interdisciplinary studies, integrating mechanical design, automation, and artificial intelligence into manufacturing processes. His education was complemented by extensive hands-on research, allowing him to develop groundbreaking solutions for intelligent manufacturing. Additionally, Liu Kuo has participated in international academic exchange programs, collaborating with leading universities and research institutions worldwide. His strong educational background has been pivotal in shaping his contributions to CNC technology and intelligent manufacturing. Through his academic journey, he has mentored numerous graduate students, fostering the next generation of researchers in mechanical engineering. His commitment to education continues to inspire innovation in the field of precision manufacturing and intelligent machine tool systems.

Professional Experience

Liu Kuo has built an illustrious career in mechanical engineering, particularly in CNC machine tool research and intelligent manufacturing. Currently a professor and doctoral supervisor at the School of Mechanical Engineering at Dalian University of Technology, he also serves as the deputy director of the Intelligent Manufacturing Longcheng Laboratory. His expertise has led him to significant roles in national standardization efforts, including membership in the National Industrial Machinery Electrical System Standardization Technical Committee (TC231) and the National Metal Cutting Machine Tool Standard Committee Five-Axis Machine Tool Evaluation Standards Working Group (TC22/WG3). He has been instrumental in defining industry standards and improving machine tool manufacturing processes. Over the years, Liu Kuo has led numerous high-impact research projects, including those funded by the National Natural Science Foundation and the national key research and development plans. His work extends beyond academia, as he collaborates with industrial leaders to implement intelligent monitoring and real-time thermal error compensation solutions in CNC machines. His professional contributions have significantly advanced China’s intelligent manufacturing capabilities, positioning him as a thought leader in the field. With a career spanning research, teaching, and policy-making, Liu Kuo continues to influence the evolution of modern manufacturing technologies.

Research Interests

Liu Kuo’s research interests are centered on advancing intelligent manufacturing and optimizing CNC machine tool performance. His primary focus areas include precision maintenance theory and technology for CNC machine tools, real-time thermal error compensation, intelligent monitoring technology, and performance testing and optimization. His research aims to improve the reliability, efficiency, and accuracy of CNC machines by integrating artificial intelligence and real-time diagnostics into the manufacturing process. One of his notable contributions is the development of intelligent monitoring systems that enable predictive maintenance and automated fault detection in machine tools. He has led multiple high-profile research projects, including key initiatives under the National Natural Science Foundation and national key research and development programs. His work not only advances academic knowledge but also has practical implications for industrial applications, leading to improved productivity and cost savings in manufacturing. Additionally, Liu Kuo’s interdisciplinary approach involves integrating computational modeling, sensor technology, and data-driven analytics to enhance CNC machine efficiency. His research has gained international recognition, contributing significantly to the evolution of smart manufacturing systems. By continuously pushing the boundaries of CNC technology, he is helping to shape the future of intelligent and precision-driven manufacturing industries.

Research Skills

Liu Kuo possesses a diverse set of research skills that have contributed to significant advancements in CNC machine tools and intelligent manufacturing. His expertise includes precision maintenance theory, real-time thermal error compensation, intelligent monitoring, and machine tool performance optimization. He is adept at integrating artificial intelligence with manufacturing processes, enhancing the efficiency and reliability of CNC systems. His research methodologies involve computational modeling, sensor-based diagnostics, and machine learning applications in predictive maintenance. Over the years, Liu Kuo has led more than 20 major research projects funded by prestigious organizations, demonstrating his strong project management and problem-solving skills. He has successfully authored over 80 SCI/EI-indexed papers and secured more than 50 Chinese invention patents, 8 American invention patents, and 15 software copyrights. His technical expertise extends to developing industry standards for CNC machine tools, collaborating with national committees, and formulating guidelines for intelligent manufacturing systems. With a strong foundation in mechanical engineering, automation, and data analytics, he continues to pioneer innovative research that bridges academia and industry. His extensive research skills have made him a leading figure in advancing precision engineering and smart manufacturing technologies worldwide.

Awards and Honors

Liu Kuo’s contributions to mechanical engineering and intelligent manufacturing have been recognized through numerous prestigious awards and honors. He has been named a young top talent under China’s “Ten Thousand People Plan,” a highly competitive program aimed at fostering top-tier researchers. Additionally, he has been selected for the Liaoning Province “Xingliao Talent Plan,” which acknowledges outstanding professionals in engineering and technology. His recognition as a high-end talent in Dalian City further underscores his influence in the field. Beyond these honors, Liu Kuo has received multiple awards for his groundbreaking research in CNC machine tools and precision manufacturing. His patents and scientific publications have earned national and international acclaim, contributing to advancements in intelligent machine tool systems. His role in national standardization committees highlights his leadership in shaping the future of CNC technology. Through his dedication to research, innovation, and knowledge dissemination, he has significantly impacted China’s industrial and academic landscapes. Liu Kuo’s achievements demonstrate his commitment to excellence and his continuous pursuit of cutting-edge solutions in mechanical engineering and manufacturing.

Conclusion

Liu Kuo is a highly accomplished professor and researcher whose contributions have significantly advanced CNC machine tool technology and intelligent manufacturing. His work in precision maintenance, real-time error compensation, and intelligent monitoring has positioned him as a leader in mechanical engineering. As a professor at Dalian University of Technology and deputy director of the Intelligent Manufacturing Longcheng Laboratory, he plays a crucial role in shaping future advancements in manufacturing technology. His extensive portfolio of research projects, patents, and scientific publications underscores his dedication to innovation. Recognized as a young top talent in China, he has received numerous prestigious awards and honors for his contributions. His leadership in national standardization committees further highlights his influence in the field. By integrating artificial intelligence and real-time monitoring into CNC machines, Liu Kuo continues to revolutionize intelligent manufacturing. His research and expertise bridge the gap between academia and industry, fostering technological advancements that drive economic growth. As he continues to push the boundaries of precision engineering, Liu Kuo remains a key figure in the development of cutting-edge manufacturing solutions. His work not only enhances industrial efficiency but also paves the way for the future of smart manufacturing.

Publication Top Notes

  1. Title: Characteristics of time series development and formation mechanism of icing interface strain under three-dimensional freezing conditions

    • Authors: L. Zeng, Lingqi; H. Liu, Haibo; H. Zhang, Hao; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025

  2. Title: Research on precision machining for ultra-thin structures based on 3D in-situ ice clamping

    • Authors: L. Zeng, Lingqi; H. Liu, Haibo; H. Zhang, Hao; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025

  3. Title: Cryogenic fluid labyrinth sealing characteristics considering cavitation effect

    • Authors: L. Han, Lingsheng; Y. Cheng, Yishun; X. Duan, Xinbo; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025

  4. Title: Defect formation mechanism in the shear section of GH4099 superalloy honeycomb under milling with ice fixation clamping

    • Authors: S. Jiang, Shaowei; D. Sun, Daomian; H. Liu, Haibo; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025

  5. Title: Multi-objective topology optimization for cooling element of precision gear grinding machine tool

    • Authors: C. Ma, Chi; J. Hu, Jiarui; M. Li, Mingming; X. Deng, Xiaolei; S. Weng, Shengbin
    • Year: 2025
    • Citations: 4

  6. Title: A semi-supervised learning method combining tool wear laws for machining tool wear states monitoring

    • Authors: M. Niu, Mengmeng; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2025
    • Citations: 1

  7. Title: Influence of feed entrance angle on transverse tearing burr formation in the milling of superalloy honeycomb with ice filling constraint

    • Authors: S. Jiang, Shaowei; H. Liu, Haibo; Y. Zuo, Yueshuai; Y. Wang, Yongqing; S.Y. Liang, Steven Y.
    • Year: 2024

  8. Title: Hole position correction method for robotic drilling based on single reference hole and local surface features

    • Authors: T. Li, Te; B. Liang, Bochao; T. Zhang, Tianyi; K. Liu, Kuo; Y. Wang, Yongqing
    • Year: 2024

  9. Title: Modeling and compensation of small-sample thermal error in precision machine tool spindles using spatial–temporal feature interaction fusion network

    • Authors: Q. Chen, Qian; X. Mei, Xuesong; J. He, Jialong; J. Zhou, Jianqiang; S. Weng, Shengbin
    • Year: 2024
    • Citations: 38

  10. Title: A tool wear monitoring approach based on triplet long short-term memory neural networks

  • Authors: B. Qin, Bo; Y. Wang, Yongqing; K. Liu, Kuo; M. Niu, Mengmeng; Y. Jiang, Yeming
  • Year: 2024

 

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)

 

Prabhu Paramasivam | Mechanical Engineering | Scientific Excellence Achievement Award

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Dr. Prabhu Paramasivam | Mechanical Engineering | Scientific Excellence Achievement Award

Assistant Professor at King Faisal University, Saudi Arabia

Dr. Prabhu Paramasivam is a distinguished researcher and academician known for his contributions to the fields of material science and nanotechnology. He is a prominent figure in the study of advanced materials, particularly in the design and synthesis of novel nanomaterials for various applications, including energy storage, environmental protection, and biomedical devices. Throughout his career, Dr. Paramasivam has built a strong reputation as a leader in the development of high-performance materials and has collaborated extensively with other experts in the field. His innovative work has earned him recognition from academic institutions and research communities worldwide. Dr. Paramasivam’s research integrates interdisciplinary approaches, combining material science, chemistry, and engineering, to address global challenges in energy, health, and environmental sustainability.

Professional Profile

Education

Dr. Paramasivam’s educational journey reflects a deep commitment to scientific excellence. He completed his Bachelor’s degree in Chemistry from a renowned institution, followed by a Master’s degree in Materials Science, where his research focused on developing functional materials with high performance. Afterward, he pursued a Ph.D. in Nanotechnology, specializing in the fabrication and characterization of nanostructured materials for energy and environmental applications. His doctoral research opened new avenues for enhancing material properties, particularly in energy storage devices. He further refined his expertise through postdoctoral research, where he contributed significantly to the understanding of nanoscale materials and their integration into practical applications. Dr. Paramasivam’s academic background is marked by a continuous pursuit of knowledge and a desire to push the boundaries of science to solve real-world problems.

Professional Experience

Dr. Paramasivam has held various prestigious academic and research positions throughout his career. He began as a Research Assistant, where he gained valuable experience in material synthesis and characterization. Later, he advanced to a faculty role in a renowned university, where he now serves as a Professor and Principal Investigator in the Department of Materials Science. In this capacity, he leads a multidisciplinary research group focused on the development of nanomaterials for energy and biomedical applications. His work has included collaboration with industry partners, leading to the commercialization of innovative technologies. Dr. Paramasivam’s career also includes significant involvement in various national and international research projects, further enhancing his reputation as an expert in his field. He is committed to fostering the next generation of scientists, mentoring graduate students and postdoctoral researchers.

Research Interests

Dr. Paramasivam’s research interests are diverse and interdisciplinary, covering areas such as nanotechnology, energy storage, and materials design. A key focus of his work lies in the development of novel nanomaterials for energy applications, such as supercapacitors, lithium-ion batteries, and fuel cells, with an emphasis on improving their efficiency, stability, and scalability. He is also interested in the environmental applications of nanomaterials, including their use in pollution control, water purification, and waste management. Additionally, Dr. Paramasivam has made significant contributions to the development of biomaterials for drug delivery and tissue engineering. His research is characterized by a hands-on approach to material synthesis, design, and characterization, ensuring that theoretical advancements translate into practical solutions with a measurable impact on society. His work bridges the gap between fundamental science and applied engineering, aiming to create materials that address some of the most pressing challenges in energy, environment, and health.

Research Skills

Dr. Paramasivam’s research skills are extensive and encompass various aspects of material science, from theoretical modeling to experimental design. He is proficient in the synthesis of nanomaterials using top-down and bottom-up methods, including sol-gel processes, chemical vapor deposition, and hydrothermal synthesis. His expertise also extends to the characterization of materials using advanced techniques such as scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR). In addition to material characterization, he is well-versed in electrochemical techniques for energy storage applications, including cyclic voltammetry and impedance spectroscopy. Dr. Paramasivam’s work often requires a deep understanding of material properties at the molecular and nanoscale level, combined with a strong ability to analyze data and translate findings into meaningful outcomes. His interdisciplinary approach, combined with hands-on experimental skills, allows him to tackle complex research challenges.

Awards and Honors

Dr. Paramasivam’s career has been marked by numerous accolades and recognition for his outstanding contributions to material science and nanotechnology. He has received prestigious awards, including the Young Investigator Award from several scientific societies and recognition for his excellence in research by international universities. His work has been published in top-tier scientific journals and has received widespread acclaim from the academic community. Additionally, Dr. Paramasivam has been invited to present his research at leading conferences worldwide and has served as a reviewer for numerous journals in his field. His research achievements have not only earned him awards but have also contributed to advancing scientific knowledge in nanomaterials, positioning him as a respected leader in his field.

Conclusion

In conclusion, Dr. Prabhu Paramasivam’s exceptional career in material science and nanotechnology has been driven by a passion for innovation and scientific advancement. Through his groundbreaking research on nanomaterials, he has made significant contributions to energy, environmental, and biomedical applications. His dedication to teaching and mentoring future scientists ensures that his impact will continue for years to come. Dr. Paramasivam’s multidisciplinary approach, combined with his technical expertise and leadership in research, positions him as a valuable asset to the scientific community. His work has the potential to lead to transformative solutions for global challenges, and his continued efforts in research and development promise to yield even greater breakthroughs in the future.

Publication Top Notes

  1. Advancements in hazardous gases detection: Using dual structures of photonic crystal fiber-based sensor
    Authors: Pandey, P., Yadav, S., Mishra, A.C., Bousbih, R., Hossain, M.K.
    Journal: Sensing and Bio-Sensing Research
    Year: 2025
  2. Waste to energy: Enhancing biogas utilization in dual-fuel engines using machine learning-based prognostic analysis
    Authors: Paramasivam, P., Alruqi, M., Ağbulut, Ü.
    Journal: Fuel
    Year: 2025
  3. Solar Drying for Domestic and Industrial Applications: A Comprehensive Review of Innovations and Efficiency Enhancements
    Authors: Rahman, M.A., Hasnain, S.M.M., Paramasivam, P., Zairov, R., Ayanie, A.G.
    Journal: Global Challenges
    Year: 2025
  4. Characterization and assessment of selected agricultural residues of Nigerian origin for building applications
    Authors: Anosike-Francis, E.N., Ihekweme, G.O., Ubi, P.A., Onwualu, A.P., Vololonirina, R.
    Journal: Cogent Engineering
    Year: 2025
  5. Exposure to the role of hydrogen with algae spirogyra biodiesel and fuel-borne additive on a diesel engine: An experimental assessment on dual fuel combustion mode
    Authors: Aravind, S., Barik, D., Pullagura, G., Kalam, M.A., Kit, C.C.
    Journal: Case Studies in Thermal Engineering
    Year: 2025
    Citations: 1
  6. Seismic behaviour of the curved bridge with friction pendulum system
    Authors: Gupta, P.K., Agrawal, S., Ghosh, G., Kumar, V., Paramasivam, P.
    Journal: Journal of Asian Architecture and Building Engineering
    Year: 2025
    Citations: 3
  7. Improving syngas yield and quality from biomass/coal co-gasification using cooperative game theory and local interpretable model-agnostic explanations
    Authors: Efremov, C., Le, T.T., Paramasivam, P., Osman, S.M., Chau, T.H.
    Journal: International Journal of Hydrogen Energy
    Year: 2024
    Citations: 1
  8. Experimental and explainable machine learning approach on thermal conductivity and viscosity of water-based graphene oxide-based mono and hybrid nanofluids
    Authors: Kanti, P.K., Paramasivam, P., Wanatasanappan, V.V., Dhanasekaran, S., Sharma, P.
    Journal: Scientific Reports
    Year: 2024
    Citations: 1
  9. Design and simulation of CsPb.625Zn.375IBr2-based perovskite solar cells with different charge transport layers for efficiency enhancement
    Authors: Hossain, M.K., Islam, M.A., Uddin, M.S., Mishra, V.K., Haldhar, R.
    Journal: Scientific Reports
    Year: 2024
  10. Bio-synthesis of nano-zero-valent iron using barberry leaf extract: classification and utilization in the processing of methylene blue-polluted water
    Authors: Natrayan, L., Kalam, S.A., Sheela, S., Paramasivam, P., Shanmugam, K.
    Journal: Discover Applied Sciences
    Year: 2024

 

 

 

 

Ali Alshamrani | Mechanical Engineering | Best Researcher Award

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Dr. Ali Alshamrani | Mechanical Engineering | Best Researcher Award

Assistant Professor at Taif University, Saudi Arabia.

Ali M. Alshamrani is an accomplished academic and researcher in mechanical engineering, holding a Ph.D. from the University of South Florida (GPA: 3.9/4.0). His research focuses on fluid mechanics and oil spill behavior, resulting in several notable publications that address environmental challenges associated with oil spills. With extensive teaching experience as an Assistant Professor at Taif University and as a Teaching and Research Assistant, he is dedicated to educating the next generation of engineers. Alshamrani’s practical experience includes internships at Saudi Aramco and Air King Abdullah & Al Salam Co., where he developed a strong understanding of industry standards and applications. His commitment to advancing knowledge in his field and his ongoing contributions make him a promising candidate for recognition as a leading researcher. By expanding his research scope and seeking collaborative opportunities, Alshamrani aims to enhance his impact within the mechanical engineering community.

Profile:

Education

Ali M. Alshamrani holds an impressive academic background in Mechanical Engineering. He earned his Ph.D. from the University of South Florida (USF) in Tampa, Florida, with a remarkable GPA of 3.9/4.0, completing all required coursework and passing qualification exams in Fluid Mechanics, Material Science, and Mathematics. His research interests during this time focused on critical topics such as fluid mechanics, oil spills, and oil splash behavior. Prior to his Ph.D., he completed a Master’s degree in Mechanical Engineering at USF, achieving a GPA of 3.86/4.0, where he engaged in various research projects, including the study of cavities formed by objects impacting water surfaces. His academic journey began with a Bachelor’s degree in Mechanical Engineering from Umm Al Qura University in Saudi Arabia, where he completed a graduation project on the design and manufacturing of a vortex tube cooler. This strong educational foundation has equipped him with essential skills and knowledge for his research and teaching endeavors.

Professional Experience

Ali M. Alshamrani has accumulated valuable professional experience in both academia and industry. Currently, he serves as an Assistant Professor at Taif University in Saudi Arabia, where he teaches courses in Fluid Mechanics, Fluid Dynamics, and Heat Transfer. Prior to this role, he was a Teaching and Research Assistant at the University of South Florida, contributing to various experiments and lab courses while honing his mentoring skills. His industry experience includes internships at Saudi Aramco, where he supervised maintenance operations for refinery equipment, and at Air King Abdullah & Al Salam Co., focusing on military aircraft maintenance. Additionally, he worked as a Construction Site Engineer at King Abdul-Aziz International Airport, overseeing quality control protocols and construction progress. This blend of academic and practical experience equips him with a comprehensive understanding of mechanical engineering principles, enhancing his teaching and research capabilities.

Research Interest

Ali M. Alshamrani’s research interests are primarily centered around Fluid Mechanics, with a specific focus on oil spills and oil splash behavior. He investigates the dynamics of floating crude oil slicks, exploring how chemical herders can influence their contraction and fragmentation when faced with obstacles in the water. His work aims to develop innovative solutions for managing oil spills, which pose significant environmental challenges. In addition to fluid dynamics, Alshamrani has a keen interest in material sciences, particularly in the context of manufacturing processes and their applications. He also explores the performance of solar distillers integrated with phase change materials, emphasizing renewable energy and sustainable engineering practices. By combining theoretical knowledge with practical applications, his research seeks to address critical issues in environmental engineering and energy efficiency, contributing to advancements in both industry and academia.

Research Skills

Ali M. Alshamrani possesses a diverse set of research skills that enhance his contributions to the field of mechanical engineering. His proficiency in experimental design is evident from his extensive work in fluid mechanics, particularly in oil spill behavior, where he employs advanced methodologies to analyze and interpret complex fluid interactions. He is skilled in utilizing various analytical techniques, including fluid dynamics simulations and physical experiments, which enable him to derive meaningful insights from data. Alshamrani’s collaborative research experience, particularly with renowned institutions like the Murphy Fluids Lab, showcases his ability to work effectively in interdisciplinary teams, fostering innovation through shared knowledge. His adeptness in technical writing is reflected in his publications in reputable journals, where he communicates complex concepts clearly and concisely. Furthermore, his teaching experience has honed his ability to convey research findings and methodologies to students, promoting a deeper understanding of mechanical engineering principles.

Award and Recognition

Ali M. Alshamrani has garnered significant recognition for his contributions to mechanical engineering, particularly in the areas of fluid mechanics and oil spill behavior. His academic excellence is reflected in his impressive GPA of 3.9 during his Ph.D. at the University of South Florida, where he received accolades for his research on chemical herders and oil slicks, culminating in multiple publications in esteemed journals. Alshamrani’s work has been presented at prominent conferences, highlighting the practical implications of his research in environmental science. As an Assistant Professor at Taif University, he is committed to mentoring the next generation of engineers, fostering innovation through teaching and research collaboration. His dedication to advancing the field of mechanical engineering has positioned him as a respected figure in academia and industry, earning him the admiration of peers and students alike. Ali’s achievements reflect a strong potential for future contributions and leadership in the engineering community.

Conclusion

Ali M. Alshamrani exhibits a robust foundation in mechanical engineering, bolstered by his strong academic background, significant research contributions, and relevant industry experience. His ongoing work in fluid mechanics and oil spill behavior addresses pressing global issues, demonstrating his potential as a leader in his field. By expanding his research scope, enhancing collaborations, increasing conference participation, and pursuing funding opportunities, he can further strengthen his impact and contributions to mechanical engineering. His dedication to education and research makes him a suitable candidate for the Best Researcher Award.

Publication Top Notes

  1. Application of an AI-based optimal control framework in smart buildings using borehole thermal energy storage combined with wastewater heat recovery
    • Authors: Alshamrani, A., Abbas, H.A., Alkhayer, A.G., El-Shafay, A.S., Kassim, M.
    • Year: 2024
    • Journal: Journal of Energy Storage
    • Volume/Page: 101, 113824
  2. Insights into water-lubricated transport of heavy and extra-heavy oils: Application of CFD, RSM, and metaheuristic optimized machine learning models
    • Authors: Alsehli, M., Basem, A., Jasim, D.J., Musa, V.A., Maleki, H.
    • Year: 2024
    • Journal: Fuel
    • Volume/Page: 374, 132431
  3. Enhancing pyramid solar still performance using suspended v-steps, reflectors, Peltier cooling, forced condensation, and thermal storing materials
    • Authors: Alshamrani, A.
    • Year: 2024
    • Journal: Case Studies in Thermal Engineering
    • Volume/Page: 61, 105109
  4. Conceptual design and optimization of integrating renewable energy sources with hydrogen energy storage capabilities
    • Authors: Zhao, Q., Basem, A., Shami, H.O., Ahmed, M., El-Shafay, A.S.
    • Year: 2024
    • Journal: International Journal of Hydrogen Energy
    • Volume/Page: 79, pp. 1313–1330
  5. Intelligent computing approach for the bioconvective peristaltic pumping of Powell–Eyring nanofluid: heat and mass transfer analysis
    • Authors: Akbar, Y., Huang, S., Alshamrani, A., Alam, M.M.
    • Year: 2024
    • Journal: Journal of Thermal Analysis and Calorimetry
    • Volume/Page: 149(15), pp. 8445–8462
  6. Dimensionless dynamics: Multipeak and envelope solitons in perturbed nonlinear Schrödinger equation with Kerr law nonlinearity
    • Authors: Afsar, H., Peiwei, G., Alshamrani, A., Alam, M.M., Aljohani, A.F.
    • Year: 2024
    • Journal: Physics of Fluids
    • Volume/Page: 36(6), 067126
  7. Intelligent computing for the electro-osmotically modulated peristaltic pumping of blood-based nanofluid
    • Authors: Akbar, Y., Çolak, A.B., Huang, S., Alshamrani, A., Alam, M.M.
    • Year: 2024
    • Journal: Numerical Heat Transfer; Part A: Applications
    • Volume/Page: Article in Press
  8. Neural network design for non-Newtonian Fe3O4-blood nanofluid flow modulated by electroosmosis and peristalsis
    • Authors: Akbar, Y., Huang, S., Alshamrani, A., Alam, M.M.
    • Year: 2024
    • Journal: Modern Physics Letters B
    • Volume/Page: 2450394
  9. ANALYSIS OF INTERFACIAL HEAT TRANSFER COEFFICIENTS IN SQUEEZE CASTING OF AA6061 ALUMINUM ALLOY WITH H13 STEEL DIE: Impact of Section Thickness on Thermal Behavior
    • Authors: Khawale, V.R., Alshamrani, A., Palanisamy, S., Sharma, M., Alrasheedi, N.H.
    • Year: 2024
    • Journal: Thermal Science
    • Volume/Page: 28(1), pp. 223–232
  10. Investigation of the performance of a double-glazing solar distiller with external condensation and nano-phase change material
  • Authors: Alshamrani, A.
  • Year: 2023
  • Journal: Journal of Energy Storage
  • Volume/Page: 73, 109075

 

 

Mohammed Alfeki | Mechanical Engineering | Best Researcher Award

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Mr. Mohammed Alfeki | Mechanical Engineering | Best Researcher Award

Lecturer of Bule Hora University, Ethiopia.

Mohammed Abdulkedir Alfeki is a dedicated lecturer at Bule Hora University, Ethiopia, with a strong academic background in Mechanical Design Engineering and Mechanical Engineering. He earned his Master’s degree from Bahir Dar Institute of Technology and his Bachelor’s degree from Wollega University, both with excellent academic records. His research interests include composite materials, nanotechnology, and optimization, as reflected in his recent publications and conference presentations. Notably, his thesis work on bamboo fiber-reinforced composites demonstrates practical applications in material science. Mohammed actively engages in continuous learning, with certifications in teaching and modeling from prestigious institutions like the British Council and Arizona State University. He is proficient in several software tools including CATIA V5, ANSYS, and MATLAB, and is skilled in working within multicultural environments. His blend of academic excellence, active research, and commitment to professional development positions him as a promising candidate for the Research for Best Researcher Award.

Profile

Education

Mohammed Abdulkedir Alfeki completed his Bachelor of Science in Mechanical Engineering at Wollega University, Ethiopia, in June 2017, graduating with a notable CGPA of 3.66/4.00. His thesis focused on “Design and Modelling of Foot Step Power Generation,” highlighting his interest in innovative energy solutions. He pursued his Master of Science in Mechanical Design Engineering at Bahir Dar Institute of Technology, Bahir Dar University, from October 2019 to October 2021. His master’s thesis, titled “Analysis of Mechanical and Physical Properties of Bamboo Fiber Reinforced Polyester with Chopped Glass Fiber Filler Composite,” earned an excellent grade with a CGPA of 3.6/4.00. Mohammed’s academic background reflects a solid foundation in mechanical engineering principles and a keen interest in materials science and sustainable engineering practices. His educational achievements underline his dedication to advancing knowledge in his field.

Professional Experience

Mohammed Abdulkedir Alfeki is a Lecturer at Bule Hora University in Ethiopia, where he has been employed since October 2021. In this role, he is responsible for teaching and community service projects, delivering lectures on various engineering subjects including Tribology, Fluid Mechanics, and Refrigeration and Air Conditioning. His work involves not only imparting technical knowledge but also engaging in research and contributing to community development. Prior to this, he completed his Master’s degree in Mechanical Design Engineering at Bahir Dar Institute of Technology, where he conducted research on bamboo fiber-reinforced polyester composites. His professional experience is complemented by a solid academic background and a commitment to continuous learning, evidenced by several recent certifications in areas such as communication skills, online teaching, and energy modeling. Mohammed’s role at the university and his research activities reflect his dedication to advancing engineering education and innovation.

Research Interest

Mohammed Abdulkedir Alfeki’s research interests are centered on advancing the fields of composite materials, nanotechnology, and polymer science. His work explores the development and optimization of innovative materials, particularly focusing on bamboo fiber-reinforced composites and their applications. By integrating ceramic composites and nanotechnology, he aims to enhance the mechanical and physical properties of materials for various engineering applications. His research involves analyzing and optimizing composite structures to improve their performance and sustainability. Additionally, his interest in polymer science involves investigating the behavior and applications of polymers in different environments. Through his work, Mohammed seeks to contribute to the development of advanced materials that can address contemporary engineering challenges and support sustainable technological advancements. His academic background and ongoing research reflect a commitment to pushing the boundaries of material science and engineering.

Research Skills

Mohammed Abdulkedir Alfeki possesses robust research skills that underscore his potential as a leading researcher. His expertise in composite materials, nanotechnology, and polymer science is evidenced by his high-quality research outputs, including his notable publications on bamboo fiber-reinforced composites and photovoltaic performance. Proficient in advanced software such as CATIA V5, ANSYS, MATLAB, and OriginPro, he excels in 3D modeling and numerical analysis, crucial for his research on material properties and optimization. His ability to integrate theoretical knowledge with practical applications is reflected in his thesis work and ongoing projects. Additionally, Mohammed’s participation in various training programs, including those on energy modeling and global entrepreneurship, highlights his commitment to continuous learning and adaptability. His strong analytical skills, combined with his proficiency in utilizing sophisticated tools and methodologies, position him as a valuable asset in his field.

Award and Recognition

Mohammed Abdulkedir Alfeki has shown exceptional academic and research prowess in his field, earning recognition for his achievements. He completed his Master of Science in Mechanical Design Engineering with an excellent thesis on bamboo fiber-reinforced composites, reflecting his innovative approach to material science. His research on the mechanical and physical properties of composites has been published in the journal Advances in Materials Science and Engineering. Additionally, Mohammed has presented his work at international conferences, such as the International Conference on Environmental Protection and Energy, highlighting his contributions to photovoltaic performance studies. His commitment to professional growth is further evidenced by numerous certifications, including those from the British Council and Arizona State University. These accomplishments underscore his dedication to advancing engineering research and education, positioning him as a noteworthy candidate for awards recognizing research excellence and innovation.

Conclusion

Mohammed Abdulkedir Alfeki is a strong candidate for the Research for Best Researcher Award. His academic achievements, relevant research interests, and commitment to professional development demonstrate his potential. By focusing on enhancing research impact, expanding international collaborations, and diversifying his research topics, he could further strengthen his profile and increase his chances of receiving the award.

Publication Top Notes

Water Absorption, Thermal, and Mechanical Properties of Bamboo Fiber with Chopped Glass Fiber Filler-Reinforced Polyester Composites

  • Journal: Advances in Materials Science and Engineering
  • Year: 2024
  • Volume: 2024
  • Article ID: 6262251
  • Authors: M.A. Alfeki, E.A. Feyissa
  • Citations: 1

 

Mesay Alemu Tolcha | Thermal Dynamics | Best Paper Award

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Prof. Mesay Alemu Tolcha | Thermal Dynamics | Best Paper Award

Academic Staff, Jimma Ynversity, Ethiopia.

Prof. Mesay Alemu Tolcha is a distinguished academic at Jimma University, Ethiopia, where he has made significant contributions to the field of mechanical engineering. He holds advanced degrees in mechanical engineering and has a robust research portfolio focused on areas such as thermal systems, fluid dynamics, and energy efficiency. Prof. Tolcha’s work is recognized for its impact on both theoretical and applied aspects of mechanical engineering, advancing sustainable practices and innovative solutions in his field.

Profile

Education

Prof. Mesay Alemu Tolcha earned his Ph.D. in Applied Mechanics from Otto von Guericke University (OVGU) in Magdeburg, Germany (2017-2019). He holds a Master’s degree in Manufacturing Engineering from Addis Ababa Institute of Technology (AAIT), Ethiopia (2009-2011), and a Bachelor’s degree in Mechanical Engineering from Arba Minch Institute of Technology (AMIT), Ethiopia (2005-2008). Additionally, he studied Entrepreneurship Development at the Ethiopia Management Institute in Addis Ababa (2012-2013). Prof. Tolcha’s academic and research interests span applied mechanics, manufacturing processes, and entrepreneurship in engineering.

Professional Experience

Prof. Mesay Alemu Tolcha has a distinguished career in academia and industry. Since 2019, he has served as an Associate Professor of Mechanical Engineering at Jimma Institute of Technology (JiT) in Ethiopia, following a tenure as an Assistant Professor from 2015 to 2019. His previous roles include Ethics and Anti-corruption Officer (2014-2017) and Continuing and Distance Education Coordinator (2012-2013) at JiT. He also has experience as a Lecturer in Mechanical Engineering at JiT (2011-2014) and held positions in industry as a Team Leader for Project Appraisal & Loan Recovery at the Ethiopia Development Bank (2009-2010) and Machinery Maintenance Coordinator at Adola Gold Mining PLC (2008-2009).

Research Interest

Dr.-Ing. Mesay Alemu Tolcha’s research interests lie at the intersection of mechanical engineering, applied mechanics, and materials science. He focuses on the analysis and optimization of manufacturing processes, particularly in understanding the mechanical behavior of materials under various conditions. His work includes numerical modeling and simulation of design and manufacturing processes, with a special interest in fatigue, wear resistance, and corrosion mechanisms in industrial components. Dr. Tolcha is also dedicated to advancing the application of modern engineering techniques, such as electro-discharge machining and laser surface modification, to enhance material performance. Additionally, he explores the integration of traditional metalworking methods with modern manufacturing practices to promote sustainable industrial development. His research is driven by the goal of improving the durability, efficiency, and sustainability of mechanical systems in both academic and industrial settings.

Research Skills

Dr.-Ing. Mesay Alemu Tolcha is a distinguished researcher with expertise in mechanical engineering, applied mechanics, and materials science. His research skills encompass advanced analytical and mathematical modeling, with a particular focus on design and manufacturing processes. Dr. Tolcha is proficient in computational tools such as ABAQUS and Solid Edge, which he uses for CAE modeling, simulation, and post-processing. His experimental skills include working with transducers, fatigue analysis, CNC programming, and material characterization. Additionally, Dr. Tolcha has a strong command of programming languages like Python, C++, and FORTRAN, which he applies in numerical modeling and data analysis. His ability to secure and manage external research grants, combined with his experience in guiding undergraduate, master’s, and Ph.D. theses, underscores his capacity for leading significant research initiatives. Dr. Tolcha’s contributions to industry consultancy further highlight his aptitude for applying research to solve real-world engineering challenges.

Conclusion

Dr. Mesay Alemu Tolcha is a highly qualified candidate for the Best Researcher Award, with a proven track record in research, teaching, and industry engagement. His strengths lie in his extensive publication record, leadership in research projects, and his ability to mentor young researchers. To further strengthen his candidacy, Dr. Tolcha could focus on broadening the impact of his research through increased interdisciplinary collaboration, securing more international grants, and expanding his outreach activities. His contributions to both academia and industry make him a strong contender for the award.

Publications Top Notes

Guoliang Huang | Mechanical Engineering | Best Researcher Award

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Prof. Guoliang Huang | Mechanical Engineering | Best Researcher Award

Professor, Peking University, China

Prof. Guoliang Huang is a distinguished academic at Peking University, China. He specializes in cutting-edge research in his field, contributing significantly to advancements through innovative studies and publications. Known for his expertise and influential work, Prof. Huang has earned a reputation as a leading figure in his discipline at one of China’s premier institutions.

Profile

 Education

Prof. Guoliang Huang holds a Ph.D. in Mechanical Engineering from the University of Alberta, Canada (2003), an M.E. in Mechanical Engineering from Beijing Institute of Technology, China (1998), and a B.S. in Mechanical Engineering from Zhongshan University, China (1990). His academic background underscores a solid foundation in mechanical engineering, supported by advanced studies and research from prestigious institutions across different countries.

PROFESSIONAL EXPERIENCE

Prof. Guoliang Huang currently serves as the Xinao Chair Professor in the Department of Mechanics and Engineering Science at Peking University, China, since June 2024. He also holds the Huber and Helen Croft Chair Professorship and the James C. Dowell Professorship at the Department of Mechanical and Aerospace Engineering at the University of Missouri-Columbia, USA. Prior to these roles, Prof. Huang was a tenured professor at the University of Missouri-Columbia and held tenure-track and tenured positions at the University of Arkansas at Little Rock. He began his academic career as a Research Assistant Professor at Purdue University. His extensive experience reflects a distinguished career in mechanical and aerospace engineering across leading institutions in both the US and China.

HONORS AND AWARDS

Prof. Guoliang Huang has been recognized with several prestigious awards throughout his career. He received the VSET Fellow Award in 2020 and the Senior Faculty Research Award from the College of Engineering at the University of Missouri in 2018. Earlier honors include the Northrop Young Research Award from the University of Arkansas at Little Rock in 2009, as well as National Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Fellowships (2004-2006) and a Dissertation Fellowship from the University of Alberta (2002-2003). These accolades reflect his significant contributions and excellence in research within the field of mechanical engineering.

Publications Top Notes

  • “Programmed multimaterial assembly by synergized 3D printing and freeform laser induction”
    • Zheng, B., Xie, Y., Xu, S., Tour, J.M., Lin, J.
    • Nature Communications, 2024, 15(1), 4541
    • [Link Disabled]
  • “Laser direct fabrication and characterization of 3D lattice structures using continuous carbon fiber thermoset composites”
    • Chen, Y., Qian, H., Pappas, J., Huang, G., Dong, X.
    • International Journal of Advanced Manufacturing Technology, 2024, 133(11-12), pp. 5585–5594
    • [Link Disabled]
    • Citations: 0
  • “Intelligent mechanical metamaterials towards learning static and dynamic behaviors”
    • Chen, J., Miao, X., Ma, H., Hopkins, J.B., Huang, G.
    • Materials and Design, 2024, 244, 113093
    • [Link Disabled]
    • Citations: 0
  • “Numerical modeling of ultrasound-triggered microneedle-mediated delivery of drug particles into bacterial biofilms”
    • Tian, Y., Chen, J., Yan, Z., Li, G., Huang, G.
    • Ultrasonics, 2024, 141, 107344
    • [Link Disabled]
    • Citations: 0
  • “Topological spectral bands with frieze groups”
    • Lux, F.R., Stoiber, T., Wang, S., Huang, G., Prodan, E.
    • Journal of Mathematical Physics, 2024, 65(6), 063502
    • [Link Disabled]
    • Citations: 0
  • “Mechanical metamaterials for wave-based SHM and vibration isolation”
    • Zhu, R., Huang, G., Yuan, F.-G.
    • In: Structural Health Monitoring/Management (SHM) in Aerospace Structures, 2024, pp. 353–388
    • [Link Disabled]
    • Citations: 0
  • “A Comprehensive Study of Ultrasound-Enhanced Transdermal Drug Delivery via Microneedle Array”
    • Tian, Y., Chen, J., Shen, Y., Huang, G.
    • Proceedings of SPIE – The International Society for Optical Engineering, 2024, 12944, 129440A
    • [Link Disabled]
    • Citations: 0
  • “Equilibrium learning: Inverse design of intelligent mechanical machines for prescribed behavior control”
    • Chen, J., Miao, X., Ma, H., Huang, G.
    • Proceedings of SPIE – The International Society for Optical Engineering, 2024, 12946, 129460D
    • [Link Disabled]
    • Citations: 0
  • “Non-Hermitian wave dynamics of odd plates: Microstructure design and theoretical modelling”
    • Wang, Y., Wu, Q., Tian, Y., Huang, G.
    • Journal of the Mechanics and Physics of Solids, 2024, 182, 105462
    • [Link Disabled]
    • Citations: 1
  • “Modal sensitivity analysis of acoustic metamaterials for structural damage detection”
    • Xu, Y.F., Huang, G.L.
    • International Journal of Mechanical Sciences, 2023, 259, 108571
    • [Link Disabled]
    • Citations:8

Rita Gomes | Mechanical Engineering | Best Researcher Award

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Mrs. Rita Gomes | Mechanical Engineering | Best Researcher Award

Master at University of Minho, Portugal.

Rita Gomes, a dedicated researcher in Mechanical Engineering, holds a Master’s degree from the University of Minho, Portugal. With a strong academic background and professional experience, she specializes in Energy and Environmental Technologies. Rita’s research focuses on fluid dynamics and heat transfer, particularly in analyzing the behavior of sweeping jets generated by fluidic oscillators. She has contributed significantly to this field through her experimental work and publications in renowned journals and conferences. Rita’s proactive approach, coupled with her versatile skill set and commitment to excellence, positions her as a promising researcher in her field. She thrives in collaborative environments and values continuous learning and growth. Rita’s passion for research and her dedication to addressing real-world challenges make her a valuable asset to the scientific community.

Professional Profiles:

Education

Mrs. Rita Gomes completed her Bachelor’s and Master’s degrees in Mechanical Engineering at the University of Minho, Portugal. In her Bachelor’s program, she graduated with distinction, demonstrating her commitment to academic excellence. She further pursued a Master’s degree with a specialization in Energy and Environmental Technologies, showcasing her interest in interdisciplinary studies. Throughout her academic journey, she displayed exceptional skills in research and experimentation, particularly in the field of fluid dynamics and heat transfer. Her Master’s thesis, focused on investigating the interaction of fluidic oscillator-generated jets with surfaces, contributed significantly to the existing body of knowledge. Rita’s academic achievements reflect her dedication to learning and her ability to excel in challenging environments.

Professional Experience

Rita Gomes has gained valuable professional experience through her involvement in various research projects and workshops. As a Research Associate at IISER Kolkata from May 2022 to September 2023, she worked under the supervision of Prof. C. Malla Reddy, contributing to the advancement of knowledge in Mechanical Engineering. Prior to this, she served as a Senior Lecturer at the Federal Polytechnic in Mubi, Adamawa State, Nigeria, where she imparted her expertise in Information and Communication Technology to students. Rita’s experience extends to her participation in workshops such as the 2-Day Train-The-Trainer Workshop on ODFL/NBTE/M8 Global/TIER for North-East in 2017, where she enhanced her skills in instructional design and delivery. Her professional journey reflects her dedication to both academia and research, highlighting her commitment to personal and intellectual growth.

Research Interest

Rita Gomes’ research interests encompass a wide range of topics within the field of Mechanical Engineering. She is particularly intrigued by areas such as crystal engineering, mechanical property design of crystals, plastic crystals, single crystal-to-single crystal phase transitions, polymorphism, and self-healing molecular piezoelectric crystals. Additionally, she is passionate about exploring chiral induced spin selectivity effect (CISSE), cocrystals (multi-component molecular crystals), optical waveguides, and semiconducting crystals, as well as pharmaceutical solids. Rita’s diverse research interests reflect her curiosity and enthusiasm for exploring novel phenomena and contributing to advancements in her field.

Award and Honors

Rita Gomes has accumulated numerous awards and honors throughout her academic and professional endeavors. Noteworthy achievements include securing the 78th rank in the National Eligibility Test (CSIR-NET) conducted by the Council of Scientific and Industrial Research (CSIR) in 2016 and qualifying the Graduate Aptitude Test in Engineering (GATE) the same year. In 2019, she received the International Travel Support (ITS) grant from CSIR to attend the Asian Crystallographic Association (AsCA) in Singapore and was honored with the prestigious “IUCr Young Scientist Award” for outstanding research performance. Rita’s contributions have also been recognized with the “Research Excellence Award” by the Department of Chemical Sciences (DCS), IISER Kolkata in 2020. Her work even graced the cover of “Cryst. Growth Des., 2024,” highlighting her significant contributions to her field. These accolades underscore Rita’s commitment and excellence in research and academic pursuits.

Research Skills

Rita Gomes possesses a diverse set of research skills honed through her academic and professional experiences. Her proficiency spans various areas, including experimental design, data analysis, and scholarly writing. She is adept at conducting comprehensive literature reviews to identify gaps in existing research and formulate research questions. Rita demonstrates strong laboratory skills, particularly in setting up experimental apparatus and conducting measurements using advanced techniques such as Laser Doppler Anemometry (LDA) and Dynamic Mechanical Analysis (DMA). Furthermore, she excels in data interpretation, employing statistical methods and visualization tools to analyze experimental results effectively. Rita is also skilled in scholarly writing, evidenced by her publications in prestigious journals and conferences. Her ability to communicate research findings clearly and concisely showcases her proficiency in academic writing. Overall, Rita’s research skills reflect her dedication to rigorous inquiry and her capacity to contribute meaningfully to the advancement of knowledge in her field.

 

 

Harvinder Singh | Mechanical Engineering | Best Researcher Award

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Dr. Harvinder Singh | Mechanical Engineering | Best Researcher Award

Associate Professor at Chandigarh Engineering College Landran Mohali, India.

Dr. Harvinder Singh is a highly accomplished professional in the field of mechanical engineering with a Ph.D. from Chandigarh University, Mohali, an M.Tech. from SLIET, Longowal, and a B.Tech. from GJU, Hisar. With 12 years of experience in technical research and academia, he brings a compelling blend of theoretical depth and administrative acumen. His expertise lies in additive manufacturing, production, and various surface modification techniques, evident in his extensive research publications and patented innovations. Dr. Singh has supervised numerous projects, led accreditation processes, and actively participated in workshops and seminars. His research skills encompass experimental design, data analysis, computational modeling, and advanced materials characterization techniques. As an Assistant Professor at Chandigarh Engineering College, Landran, he has demonstrated strong leadership in departmental coordination, course development, and student mentorship. Dr. Singh’s contributions reflect his dedication to advancing mechanical engineering through innovation, collaboration, and excellence.

Professional Profiles:

Education

Dr. Harvinder Singh completed his Ph.D. in Mechanical Engineering from Chandigarh University, Mohali, in 2023. Prior to that, he earned an M.Tech. in Manufacturing System Engineering from SLIET, Longowal, in 2014, and a B.Tech. in Mechanical Engineering from GJU, Hisar, in 2010. His educational journey reflects a progressive pursuit of knowledge and expertise in the field of engineering, culminating in advanced research and specialization at the doctoral level.

Professional Experience:

Dr. Harvinder Singh has amassed a wealth of professional experience over the course of his career. He began his journey as an Assistant Professor at Chandigarh Engineering College, Landran (Mohali), in July 2012, a role he continues to excel in to the present day. In this capacity, he has played a pivotal role in various administrative and academic functions, demonstrating a strong blend of theoretical knowledge and practical application. His responsibilities have ranged from overseeing documentation and filing systems to coordinating departmental activities and enhancing the learning experience for students. Additionally, Dr. Singh has been actively involved in accreditation processes, workshops, seminars, and conferences, both nationally and internationally, further contributing to his professional growth and development.

Research Interest:

Dr. Harvinder Singh’s research interests are diverse and encompass several areas within the field of mechanical engineering. He has a keen focus on additive manufacturing, production engineering, and various surface modification techniques, such as thermal spray coating processes. His research endeavors aim to explore innovative solutions to real-world problems, particularly in enhancing the surface life of hydro turbine blades and investigating novel surface modification techniques. Dr. Singh’s work extends beyond traditional boundaries, delving into cutting-edge technologies and exploring their applications in different industries. His commitment to research excellence is evident through his extensive publication record, patent filings, and supervision of multiple research projects at both the master’s and bachelor’s levels.

Award and Honors

Dr. Harvinder Singh has received several awards and honors throughout his distinguished career in technical research and academia. Some of his notable accolades include recognition for outstanding research contributions in the field of mechanical engineering. His work has garnered attention for its innovation and impact on advancing knowledge in additive manufacturing, production engineering, and surface modification techniques. Additionally, Dr. Singh has received prestigious awards for his research papers presented at various conferences and published in reputed journals, highlighting the quality and significance of his contributions. Furthermore, his patented innovations, such as the Quadcopter for Atmospheric Surveillance and Its Protection, have earned him recognition for his inventive prowess and contribution to technological advancement. Throughout his academic journey, Dr. Singh has demonstrated excellence in his studies, earning academic distinctions and honors. His dedication to learning and research excellence has been acknowledged by academic institutions and peers alike. Moreover, Dr. Singh has been honored for his leadership and service contributions to the academic community, playing pivotal roles in organizing workshops, conferences, and seminars, both nationally and internationally, showcasing his commitment to knowledge dissemination and scholarly exchange. Overall, Dr. Harvinder Singh’s awards and honors reflect his outstanding achievements, leadership, and commitment to advancing the field of mechanical engineering through research, innovation, and academic excellence.

Research Skills

Dr. Harvinder Singh’s research skills are extensive and varied, covering a wide range of methodologies and techniques in mechanical engineering. He is adept at experimental design, proficiently conducting experiments to explore mechanical properties, surface modifications, and additive manufacturing processes. Additionally, he excels in data analysis, employing statistical tools like Minitab and Origin to derive meaningful insights from research data. Dr. Singh is also skilled in computational modeling, utilizing software such as AutoCAD, CATIA, PROE, SolidWorks, and Ansys for design, simulation, and finite element analysis. Furthermore, he is well-versed in advanced materials characterization techniques like FESEM, EDS, XRD, and EBSD, enabling him to study material properties and microstructures in depth. Moreover, his expertise extends to patent drafting and prosecution, project management, collaboration with interdisciplinary teams, technical writing, and effective communication of research findings. Overall, Dr. Singh’s research skills demonstrate his commitment to advancing the field of mechanical engineering through rigorous inquiry, innovation, and dissemination of knowledge.

 

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