Ziyodulla Yusupov | Engineering | Best Researcher Award

Prof Dr. Ziyodulla Yusupov | Engineering | Best Researcher Award

Teacher at Karabuk university, Turkey 

Dr. Ziyodulla Yusupov is a distinguished professor in the Electric-Electronics Engineering Department at Karabuk University, Turkey, specializing in the control of electrical power systems, microgrids, smart grids, and multi-agent systems. He holds a PhD in Electrical Engineering and has held various academic positions, progressing from Junior Researcher to Professor. His extensive research experience includes leading multiple projects focused on energy efficiency and innovative control strategies, contributing significantly to the field. Dr. Yusupov has co-authored numerous publications in reputable journals, showcasing his active engagement in the scientific community. He is multilingual, fluent in Russian, English, and Turkish, enhancing his ability to collaborate internationally. Dr. Yusupov’s dedication to education and research, combined with his impactful contributions to sustainable energy solutions, makes him a prominent figure in his field and a valuable asset to academia.

Professional Profile

Education

Dr. Ziyodulla Yusupov holds a PhD in Electrical Engineering, which he obtained in 2010 from the Institute of Power Engineering and Automation of the Uzbekistan Academy of Sciences, specializing in driver systems. His academic foundation began with a Bachelor’s and Master’s degree in Electrical-Electronics Engineering, focusing on control systems, from the Faculty of Automatic Control in Technical Systems at Tashkent State Technical University, where he graduated in 1993. Throughout his educational journey, Dr. Yusupov has developed a strong expertise in control systems, electrical power systems, and automation. His advanced education has enabled him to contribute significantly to both academia and industry, where he applies his knowledge to research and practical applications in the fields of microgrids, smart grids, and multi-agent systems. His commitment to lifelong learning and research excellence continues to shape his contributions to the engineering community.

Professional Experience

Dr. Ziyodulla Yusupov has an extensive professional background in academia and industry, accumulating significant experience in electrical engineering and control systems. He currently serves as a Professor in the Electric-Electronics Engineering Department at Karabuk University, Turkey, a position he has held since May 2022. Prior to this, he was an Associate Professor at the same institution from 2015 to 2022 and held similar roles at the Institute of Power Engineering and Automation of the Uzbekistan Academy of Sciences. Dr. Yusupov also worked as a Senior Researcher and Junior Researcher, contributing to critical research initiatives in power engineering. His industry experience includes positions as a Project Engineer and Electrical Engineer with PAC Group and Washington Group Inc., where he oversaw the installation and maintenance of electrical systems for major projects. This blend of academic and practical experience equips him with a comprehensive understanding of both theoretical concepts and real-world applications in electrical engineering.

Research Interest

Dr. Ziyodulla Yusupov’s research interests lie at the intersection of electrical engineering and sustainable energy systems. He specializes in the control of electrical power systems, focusing on the development and optimization of microgrids and smart grid technologies. His work explores multi-agent systems, particularly in the context of energy efficiency and resource management. Dr. Yusupov is deeply engaged in modeling and analyzing electric, hydraulic, and mechanical processes, aiming to improve the performance and reliability of power systems. He has led various research projects that address innovative control strategies for adjustable electric drives, contributing to advancements in energy-saving technologies within industries such as mining and agriculture. Additionally, his recent publications reflect a commitment to integrating clean energy solutions and hydrogen fuel cell systems into sustainable development practices. Dr. Yusupov’s work is instrumental in promoting renewable energy applications and enhancing the efficiency of electrical systems globally.

Award and Honor

Dr. Ziyodulla Yusupov has received several awards and honors in recognition of his contributions to the field of electrical engineering and sustainable energy systems. His academic achievements include notable research grants, such as the project funded by the Innovative Development Agency under the Ministry of Higher Education, Science, and Innovation of the Republic of Uzbekistan, aimed at advancing energy efficiency technologies. Dr. Yusupov has also been acknowledged for his significant role in developing sustainable solutions for microgrids and smart grid technologies. His publications in prestigious journals have garnered attention and citations, enhancing his reputation as a leading researcher in his field. Additionally, his commitment to education and mentoring has earned him respect among colleagues and students alike. Dr. Yusupov’s blend of research excellence, innovation, and dedication to advancing the engineering profession positions him as a distinguished figure worthy of accolades in academia and beyond.

Conclusion

Dr. Ziyodulla Yusupov exemplifies the qualities of a strong candidate for the Best Researcher Award. His extensive background, specialized knowledge, and commitment to advancing the field of electrical engineering through research and teaching make him a deserving nominee. Addressing the identified areas for improvement could further enhance his contributions and broaden the impact of his work. Overall, Dr. Yusupov’s achievements and potential align well with the values of this prestigious award, making him a suitable candidate.

Publication top noted

  • Yaghoubi, E., Yusupov, Z., Rahebi, J.
    Title: Real-time techno-economical operation of preserving microgrids via optimal NLMPC considering uncertainties
    Journal: Engineering Science and Technology, an International Journal
    Year: 2024
    Citations: 0
  • Khaleel, M., Yusupov, Z., Alderoubi, N., Habeeb, L.J., Abulifa, S.
    Title: Evolution of Emissions: The Role of Clean Energy in Sustainable Development
    Journal: Challenges in Sustainability
    Year: 2024
    Citations: 0
  • Khaleel, M., Yusupov, Z., Guneser, M.T., Ahmed, A., Alsharif, A.
    Title: Towards Hydrogen Sector Investments for Achieving Sustainable Electricity Generation
    Journal: Solar Energy and Sustainable Development
    Year: 2024
    Citations: 4
  • Khaleel, M., Yusupov, Z., Alderoubi, N., Mohammed, A., Majdi, H.S.
    Title: An Optimization Approaches and Control Strategies of Hydrogen Fuel Cell Systems in EDG-Integration Based on DVR Technology
    Journal: Journal Europeen des Systemes Automatises
    Year: 2024
    Citations: 1
  • Sadikov, A., Aripov, N., Yusupov, Z., Vaisov, O.
    Title: Intelligent Processing Time Characteristics of the Flow of the Impulse Component of the Train Shunt Resistance
    Conference: Lecture Notes in Networks and Systems
    Year: 2024
    Citations: 1
  • Yusupov, Z., Almagrahi, N., Yaghoubi, E., Habbal, A., Kodirov, D.
    Title: Modeling and Control of Decentralized Microgrid Based on Renewable Energy and Electric Vehicle Charging Station
    Conference: Lecture Notes in Networks and Systems
    Year: 2024
    Citations: 0
  • Yusupov, Z., Azizov, A., Ametova, E., Ubaydullaev, S.
    Title: Model of Circuits of Anti-repeat Relays of Train Routes
    Conference: Lecture Notes in Networks and Systems
    Year: 2024
    Citations: 0
  • Khaleel, M., Yusupov, Z., Nassar, Y., Ahmed, A., Alsharif, A.
    Title: Technical challenges and optimization of superconducting magnetic energy storage in electrical power systems
    Journal: e-Prime – Advances in Electrical Engineering, Electronics and Energy
    Year: 2023
    Citations: 11
  • Yusupov, Z., Almagrahi, N.
    Title: Techno-economic and environmental analysis of microgrid: A case study of Karabuk University
    Journal: Sigma Journal of Engineering and Natural Sciences
    Year: 2023
    Citations: 0
  • Khaleel, M., Yusupov, Z., Ahmed, A., Nassar, Y., El-Khozondar, H.
    Title: Towards Sustainable Renewable Energy
    Journal: Applied Solar Energy (English translation of Geliotekhnika)
    Year: 2023
    Citations: 8

Nasser Shahsavari-Pour | Engineering | Best Researcher Award

Prof Dr. Nasser Shahsavari-Pour | Engineering | Best Researcher Award

Project Scheduling at Vali-e-Asr university, Rafsanjan, Iran

Dr. Nasser Shahsavari-Pour is a prominent Industrial Engineering professor at Vali-e-Asr University in Rafsanjan, Iran. With a Ph.D. from Sharif University of Technology, he specializes in optimization, fuzzy systems, and multi-objective decision-making. Over his academic career, he has made significant contributions to the field through extensive research and numerous publications in esteemed journals. Recognized as a top researcher at both his university and in Kerman province, Dr. Shahsavari-Pour has garnered respect for his commitment to advancing industrial engineering education and practice. He serves on the editorial boards of various international journals and actively participates in professional organizations, including the System Dynamics Society. His passion for teaching and mentoring has inspired many students and emerging engineers. Dr. Shahsavari-Pour continues to be an influential figure in industrial engineering, advocating for innovative research that bridges the gap between theory and practical application.

Professional Profile

Education

Dr. Nasser Shahsavari-Pour earned his Ph.D. in Industrial Engineering from Sharif University of Technology, one of Iran’s premier institutions. His doctoral research focused on the applications of optimization techniques in industrial settings, emphasizing the integration of fuzzy logic and genetic algorithms to solve complex engineering problems. This rigorous academic training laid the foundation for his expertise in project scheduling and decision-making processes. Dr. Shahsavari-Pour also holds a Master’s degree in Industrial Engineering, where he honed his skills in operations research and simulation modeling. His education encompassed a blend of theoretical knowledge and practical experience, enabling him to approach real-world challenges effectively. Throughout his studies, he was mentored by leading experts, which inspired his commitment to academic excellence and innovative research. This strong educational background equips him to teach advanced industrial engineering concepts and guide students in their research endeavors, further enhancing the academic environment at Vali-e-Asr University.

Professional Experience

Dr. Nasser Shahsavari-Pour has extensive experience in academia as a professor of Industrial Engineering at Vali-e-Asr University. Over the years, he has developed and taught various undergraduate and graduate courses, emphasizing optimization, project management, and industrial systems analysis. His role extends beyond teaching; he actively supervises graduate students in their research projects, fostering a collaborative academic environment. Dr. Shahsavari-Pour has participated in several research projects funded by national organizations, contributing his expertise to enhance industrial efficiency. He has also served as a reviewer for numerous high-impact journals, including “Applied Soft Computing” and “Journal of Intelligent and Fuzzy Systems,” where he assesses cutting-edge research in industrial engineering. In addition to his academic responsibilities, he is involved in organizing conferences and workshops, promoting knowledge exchange among professionals in the field. His comprehensive experience positions him as a leader in industrial engineering education and research, significantly impacting his students and peers.

Research Interest

Dr. Nasser Shahsavari-Pour’s research interests encompass a wide range of topics within industrial engineering, with a particular focus on optimization, fuzzy systems, and multi-objective decision-making. His work explores innovative solutions for complex industrial problems, applying advanced techniques such as genetic algorithms and hybrid meta-heuristic algorithms to optimize project scheduling and resource allocation. He is especially interested in the time-cost-quality trade-offs in uncertain project environments, aiming to improve decision-making processes in industrial settings. Furthermore, Dr. Shahsavari-Pour investigates the application of fuzzy logic in optimization, seeking to enhance the robustness of solutions to real-world engineering challenges. His research also extends to simulation modeling, where he analyzes the performance of industrial systems. Through his work, he aims to bridge the gap between theoretical advancements and practical applications in industrial engineering, contributing to the field’s development and offering valuable insights for practitioners and researchers alike.

Award and Honor

Dr. Nasser Shahsavari-Pour has received multiple awards throughout his academic career, underscoring his dedication to research and education in industrial engineering. He has been recognized as a Top Researcher at the Faculty of Management and Economics at Vali-e-Asr University in 2013, 2018, and 2019, acknowledging his significant contributions to his field. In 2019, he was honored as the Top Researcher in Kerman province, highlighting his impact beyond his university. His most notable achievement came in 2022 when he was named the Top Researcher at Vali-e-Asr University, reinforcing his status as a leading figure in industrial engineering research. Additionally, Dr. Shahsavari-Pour has received accolades for his editorial work in various international journals and for his involvement in professional organizations. These awards reflect his commitment to excellence in academia and his contributions to advancing industrial engineering practices, making him a respected figure in both local and international academic communities.

Conclusion

Dr. Nasser Shahsavari-Pour appears to be a strong candidate for the Best Researcher Award due to his extensive publication record, recognition as a top researcher, and active participation in professional organizations. His significant contributions to the field of industrial engineering and his commitment to research excellence are commendable. However, addressing areas for improvement, such as fostering collaboration and increasing public engagement, could enhance his impact even further. Overall, with his accomplishments and potential for growth, he is well-suited for this prestigious award.

Publication top noted

  • Shahsavari-Pour, N., Heydari, A., Fekih, A., Asadi, H.
    A Novel Pareto-Optimal Algorithm for Flow Shop Scheduling Problem
    Mathematics, 2024, 12(18), 2951

    • Citations: 0
  • Shahsavari-Pour, N., Bahador, S., Heydari, A., Fekih, A.
    Water Shortage Simulation Using a System Dynamics Approach: A Case Study of the Rafsanjan City
    Sustainability (Switzerland), 2023, 15(7), 6225

    • Citations: 2
  • Shahsavari-Pour, N., Rahimi-Ashjerdi, S., Heydari, A., Fekih, A.
    A System Dynamics Approach to Optimize Milk Production in an Industrial Ranch
    Applied Sciences (Switzerland), 2023, 13(3), 1662

    • Citations: 1
  • Heydari, A., Nezhad, M.M., Keynia, F., … Shahsavari-Pour, N., Garcia, D.A., Piras, G.
    A combined multi-objective intelligent optimization approach considering techno-economic and reliability factors for hybrid-renewable microgrid systems
    Journal of Cleaner Production, 2023, 383, 135249

    • Citations: 35
  • Peiman, F., Khalilzadeh, M., Shahsavari-Pour, N., Ravanshadnia, M.
    Estimation of building project completion duration using a natural gradient boosting ensemble model and legal and institutional variables
    Engineering, Construction and Architectural Management, 2023

    • Citations: 1
  • Shahsavari-Pour, N., Darabi, L., Zaer-Miri, S.
    Analysis of the employment status of Iranian public universities graduates and the governmental policy using system dynamics approach
    Simulation, 2023, 99(1), pp. 89–109

    • Citations: 3
  • Shahsavari-Pour, N., Bahador, S., Heydari, A., Fekih, A.
    Analyzing Tehran’s Air Pollution Using System Dynamics Approach
    Sustainability (Switzerland), 2022, 14(3), 1181

    • Citations: 1
  • Mashizi, I.K., Kermani, V.M., Shahsavari-Pour, N.
    Flexible open-shop problem for minimizing weighted total completion time
    Journal of Intelligent and Fuzzy Systems, 2022, 42(3), pp. 1353–1366

    • Citations: 0
  • Fattahi, R., Tavakkoli-Moghaddam, R., Khalilzadeh, M., Shahsavari-Pour, N., Soltani, R.
    A novel FMEA model based on fuzzy multiple-criteria decision-making methods for risk assessment
    Journal of Enterprise Information Management, 2020, 33(5), pp. 881–904

    • Citations: 36
  • Hosseinzadeh, F., Paryzad, B., Pour, N.S., Najafi, E.
    Fuzzy combinatorial optimization in four-dimensional tradeoff problem of cost-time-quality-risk in one dimension and in the second dimension of risk context in ambiguous mode
    Engineering Computations (Swansea, Wales), 2020, 37(6), pp. 1967–1991

    • Citations: 10

Yu-Cheol Lee | Engineering | Best Researcher Award

Prof. Yu-Cheol Lee | Engineering | Best Researcher Award

Assistant Professor at Dongguk University – Seoul, South Korea

Yu-Cheol Lee is an accomplished researcher and assistant professor in the Department of Information and Communication Engineering at Dongguk University, South Korea. He holds a Ph.D. in Robotics from the Korea Advanced Institute of Science and Technology (KAIST) and has extensive academic and industry experience in robotics and artificial intelligence. His research focuses on autonomous navigation, AI robotic vision, and learning, contributing significantly to the fields of localization, mapping, and reinforcement learning. With a robust publication record and numerous accolades, including the Outstanding Young Researcher Award, Lee is recognized for his innovative work in the development of intelligent robotic systems. He actively collaborates on projects aiming to enhance robot autonomy and human-robot interaction, solidifying his reputation as a leader in the robotics research community.

Professional Profile

Education

Yu-Cheol Lee received his Bachelor of Science degrees in Mechanical Engineering and Electrical and Electronic Engineering from Yonsei University in February 2004. He then pursued a Master of Science in Mechanical Engineering at Pohang University of Science and Technology (POSTECH), graduating in February 2006. Lee further advanced his studies at the Korea Advanced Institute of Science and Technology (KAIST), where he completed his Ph.D. in the Robotics Program in February 2020. His educational background, characterized by a dual focus on mechanical and electrical engineering, laid a strong foundation for his innovative research in robotics and artificial intelligence. Lee has received multiple scholarships during his academic journey, including the Brain Korea 21 Scholarship and the Hyundai Heavy Industry Co. Scholarship, which recognize his exceptional potential and commitment to advancing engineering and robotics.

Professional Experience

Yu-Cheol Lee has a diverse and rich professional background, currently serving as an assistant professor in the Department of Information and Communication Engineering at Dongguk University since March 2023. Before this, he was an assistant professor at the Korea Aerospace University and the University of Science and Technology, contributing to the fields of autonomous vehicle engineering and artificial intelligence. Lee has also held significant roles at the Electronics and Telecommunications Research Institute (ETRI), where he was a principal researcher and senior researcher from 2021 to 2022 and 2013 to 2020, respectively. His international experience includes a tenure as a visiting scholar in the Department of Computer Science at Stony Brook University in New York. Lee’s extensive industry experience and academic involvement have allowed him to lead and participate in various high-impact research projects, fostering advancements in intelligent robotic systems and autonomous navigation technologies.

Research Interest

Yu-Cheol Lee has received numerous accolades throughout his academic career, reflecting his contributions to robotics and engineering. Notably, he was honored with the Outstanding Young Researcher Award in July 2020 from the Institute of Control, Robotics and Systems, recognizing his innovative work in the field. His commitment to excellence has also earned him several best paper and poster awards, including the Best Poster Award at the Institute of Control, Robotics and Systems Annual Conference in May 2015 and the Outstanding Paper Award at the International Conference on Ubiquitous Robots and Ambient Intelligence in October 2009. In addition, Lee received the Best Paper Award at the IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications in October 2008. His academic achievements are further supported by scholarships such as the Hyundai Heavy Industry Co. Scholarship and the Brain Korea 21 Scholarship, showcasing his dedication to advancing research and education in robotics.

Award and Honor

Yu-Cheol Lee’s research focuses primarily on autonomous navigation and AI robotic vision, encompassing a range of innovative areas including localization, mapping, and simultaneous localization and mapping (SLAM). He is particularly interested in developing robust path planning and obstacle avoidance techniques, utilizing sensor fusion and multi-robot scheduling to enhance robot autonomy in complex environments. His work in reinforcement learning aims to improve end-to-end navigation systems, enabling robots to learn from interactions with their surroundings and adapt to dynamic scenarios. Lee’s research also includes 3D map construction and object detection, contributing to advancements in robotic vision technologies. His ongoing projects involve the integration of AI into automation processes for various sectors, including shipbuilding, aviation, and construction. By addressing critical challenges in robotic navigation and learning, Lee aims to pave the way for more intelligent and efficient robotic systems that can effectively operate alongside humans.

Conclusion

 Yu-Cheol Lee is a highly suitable candidate for the Best Researcher Award. His extensive education, significant research contributions, recognition in the field, and ongoing projects in AI and robotics position him as a leader in his area. By addressing some areas for improvement, particularly in outreach and interdisciplinary collaboration, he can further enhance his impact in the research community. Therefore, he deserves strong consideration for this award, reflecting his dedication to advancing knowledge and technology in autonomous navigation and robotics.

Publication top noted

  • Mobile robot with returning mechanism
    Authors: C Sunglok, WH Yun, JH Park, S Park, YU Wonpil, YC Lee
    Year: 2015
    Citations: 32
  • Method and system for creating indoor environment map
    Authors: YC Lee, SI Na, WP Yu, KS Han
    Year: 2016
    Citations: 26
  • Sonar grid map based localization for autonomous mobile robots
    Authors: YC Lee, W Yu, JH Lim, WK Chung, DW Cho
    Year: 2008
    Citations: 21
  • Identification of novel reference genes using multiplatform expression data and their validation for quantitative gene expression analysis
    Authors: MJ Kwon, E Oh, S Lee, MR Roh, SE Kim, Y Lee, YL Choi
    Year: 2009
    Citations: 21
  • Sonar map construction for autonomous mobile robots using a data association filter
    Authors: YC Lee, JH Lim, DW Cho, WK Chung
    Year: 2009
    Citations: 18
  • Trajectory generation method using Bézier spiral curves for high-speed on-road autonomous vehicles
    Authors: B Park, YC Lee, WY Han
    Year: 2014
    Citations: 17
  • Method and apparatus for recognizing indoor location using received signal strength intensity map
    Authors: YC Lee
    Year: 2016
    Citations: 16
  • RSSI-based fingerprint map building for indoor localization
    Authors: YC Lee, SH Park
    Year: 2013
    Citations: 16
  • Method of and apparatus for creating map of artificial marks, and method and apparatus for measuring position of moving object using the map
    Authors: YC Lee
    Year: 2011
    Citations: 16
  • Evaluation of features through grid association for building a sonar map
    Authors: SJ Lee, DW Cho, WK Chung, Y Lee, JH Lim, CU Kang, WS Yun
    Year: 2006
    Citations: 15
  • 3D map building method with mobile mapping system in indoor environments
    Authors: YC Lee, SH Park
    Year: 2013
    Citations: 14
  • Artificial landmark map building method based on grid SLAM in large scale indoor environment
    Authors: YC Lee, C Christiand, H Chae, W Yu
    Year: 2010
    Citations: 14
  • Apparatus and method for recognizing position of moving object
    Authors: YC Lee, SH Kim
    Year: 2014
    Citations: 13
  • Adaptive localization for mobile robots in urban environments using low-cost sensors and enhanced topological map
    Authors: YC Lee, W Yu, JI Cho
    Year: 2011
    Citations: 13
  • Apparatus and method for establishing route of moving object
    Authors: YC Lee, MC Roh, J Byun, KI NA, SH Kim
    Year: 2013
    Citations: 12

Haoqing Li | Engineering | Best Researcher Award

Dr. Haoqing Li | Engineering | Best Researcher Award

Ph.D. Candidate at Southwest Jiaotong University, China

Haoqing Li is a promising young researcher in the field of civil engineering, specializing in environmental vibration and noise reduction for rail transit systems. At just 25, he has already made significant strides in both academic research and practical engineering applications. He is currently pursuing his Ph.D. at Southeast University in Civil Engineering, building on his earlier degrees in bridge and tunnel engineering. His work focuses on vibro-acoustic analysis, structural noise control, and the mechanical behavior of steel and steel-concrete composite structures. With a solid foundation in theoretical and experimental research, Haoqing has co-authored numerous high-impact papers in prestigious journals and has been instrumental in developing innovative approaches to noise and vibration reduction in high-speed rail systems.

Professional Profile

Education

Haoqing Li’s academic journey began at Southwest Jiaotong University, where he earned his Bachelor’s degree in Road, Bridge, and River Crossing Engineering in 2021. His outstanding performance continued through his Master’s program in Bridge and Tunnel Engineering, which he completed at the same university in 2024. During his Master’s studies, he conducted research on vibration reduction in rail transit, a subject that has remained a central theme throughout his academic career. In 2024, he advanced to Southeast University, where he is now pursuing a Ph.D. in Civil Engineering, focusing on the mechanical behavior of steel and composite structures in high-speed rail transit systems. His academic progression reflects his deepening expertise and commitment to solving practical engineering problems.

Professional Experience

Although still in the early stages of his career, Haoqing Li has garnered significant professional experience through his involvement in key research projects. He has played a leading role in several high-profile studies funded by the National Natural Science Foundation of China, serving as the Principal Investigator. His work on vibro-acoustic analysis, focusing on vibration and noise control for railway structures, has made him a key figure in civil engineering research. In addition to his research contributions, Haoqing has also demonstrated leadership in patent development, co-inventing several methods related to noise reduction in railway systems. These patents underline his ability to translate complex theoretical research into innovative practical applications, marking him as a rising star in the field of civil engineering.

Research Interest

Haoqing Li’s research interests revolve around solving some of the most pressing issues in modern civil engineering, particularly in the context of high-speed rail transit. His primary focus is on environmental vibration and noise reduction, aiming to improve the performance and comfort of rail transit systems. His expertise spans several interdisciplinary fields, including the mechanical behavior of steel structures, vibro-acoustic characteristics of composite bridges, and advanced statistical energy analysis for noise prediction. Haoqing’s research is highly relevant to the growing global emphasis on sustainable and efficient public transportation systems, and his work contributes directly to enhancing the operational efficiency and environmental performance of high-speed rail infrastructure.

Award and Honor

Haoqing Li has earned numerous awards and honors in recognition of his academic and research excellence. During his academic journey, he consistently ranked among the top students in his programs, receiving several accolades for his outstanding performance. His research contributions have been widely recognized, and he has been invited to present his work at leading national and international conferences. His involvement in major research projects funded by the National Natural Science Foundation of China, where he serves as a Principal Investigator, is a testament to his research capabilities. Additionally, his co-invention of patents in vibro-acoustic analysis and structural noise reduction techniques has further solidified his reputation as a talented and innovative researcher in the field of civil engineering.

Conclusion

Haoqing Li is a strong candidate for the Best Researcher Award. His extensive contributions to vibro-acoustic analysis and noise reduction in high-speed rail systems, along with his patents and leadership in national research projects, demonstrate his potential as an influential researcher in civil engineering. Strengthening his global collaborations and focusing more on translating his research into practical applications could further enhance his already promising career trajectory. Given his age and early-stage accomplishments, he has the potential to become a leading figure in civil engineering research.

Publication top noted

  • Xiaozhen Li, Haoqing Li, Xihao Jiang, Lin Liang (2024)
    • Title: Experimental and numerical investigation on the vibro-acoustic characteristics of periodic rib stiffened plate based on band gap theory
    • Journal: Journal of Vibration and Control
    • DOI: 10.1177/10775463231188848
  • Xihao Jiang, Xiaozhen Li, Yao Yuan, Haoqing Li, Di Wu, Lin Liang (2024)
    • Title: Dynamic Receptance Analysis Combined with Hybrid FE-SEA Method to Predict Structural Noise from Long-Span Cable-Stayed Bridge in Urban Rail Transit
    • Journal: International Journal of Structural Stability and Dynamics
    • DOI: 10.1142/S0219455424502493
  • Xihao Jiang, Haoqing Li, Xiaozhen Li, Lin Liang (2023)
    • Title: A combined iterative complex eigenvalue method and finite element-boundary element method for acoustic analysis of the railway steel bridge deck damped with constrained layer damping
    • Journal: Journal of Sandwich Structures & Materials
    • DOI: 10.1177/10996362231197681
  • Xiaozhen Li, Xihao Jiang, Haoqing Li, Quanmin Liu (2022)
    • Title: A hybrid IMSE-FE-BE method coupled with RSM for vibro-acoustic analysis and optimization of an I-shaped steel beam damped with constrained layer damping
    • Journal: Applied Acoustics
    • DOI: 10.1016/j.apacoust.2022.109098
    • ISSN: 0003-682X

Kurre Prasanth Kumar Reddy | Engineering | Best Researcher Award

Mr. Kurre Prasanth Kumar Reddy | Engineering | Best Researcher Award

Research Scholar at K L University, India

Kurre Prasanth Kumar Reddy is a dedicated and ambitious researcher from India, currently pursuing his Doctor of Philosophy at K L University in Vijayawada.  Andhra Pradesh, he has exhibited a strong commitment to academic excellence and innovation throughout his educational journey. With a background in mechanical engineering, Kurre has developed a keen interest in additive manufacturing, focusing on its applications in modern engineering solutions. He is fluent in English, Hindi, and Telugu, which enhances his ability to engage with diverse teams and collaborate internationally. Kurre’s interpersonal skills, combined with his technical expertise, have made him a well-respected figure among peers and mentors alike. He is known for his problem-solving abilities and willingness to learn, which are essential traits for success in research and development.

Professional Profile

Education

Kurre Prasanth Kumar Reddy’s educational journey reflects his commitment to engineering and research. He is currently enrolled in a Doctor of Philosophy program at K L University, specializing in Additive Manufacturing. Prior to this, he completed his Master’s in Technology in Advanced Manufacturing Systems from SV College of Engineering, where he graduated in 2021. His foundational knowledge in engineering was established during his Bachelor’s degree in Mechanical Engineering at Lingaya’s Vidyapeeth, completed in 2018. Throughout his academic career, Kurre has consistently demonstrated high performance and a strong grasp of engineering principles. He has gained expertise in various engineering software, including Ansys, AutoCAD, and SolidWorks, which have equipped him with the necessary tools to excel in his research endeavors. His educational achievements underline his strong analytical and technical skills, preparing him for a successful career in research and innovation.

Professional Experience

Kurre has gained valuable professional experience as a Teaching Assistant at SV College of Engineering, where he worked from 2019 to 2021. In this role, he handled laboratory sessions, mentored students, and assisted with examination duties, fostering a collaborative and engaging learning environment. His hands-on experience in academia has allowed him to refine his teaching skills and deepen his understanding of engineering concepts. Additionally, Kurre has completed several internships, including roles in the Manufacturing Department at Bharath Gears, the Maintenance Department of Indian Railways, and Quality Control at TAFE Motors and Tractors Limited. These internships provided him with practical insights into the engineering industry, enhancing his understanding of real-world applications of his academic knowledge. This combination of teaching and practical experience has helped Kurre develop a well-rounded skill set, preparing him for future research and professional challenges.

Research Interest

Kurre Prasanth Kumar Reddy’s primary research interest lies in the field of Additive Manufacturing, a revolutionary approach that enhances production processes in various industries. His focus is on exploring innovative methods to improve manufacturing efficiency, reduce waste, and create sustainable solutions. By integrating advanced technologies into traditional manufacturing processes, Kurre aims to contribute to the development of more efficient and environmentally friendly production systems. He is particularly interested in the challenges and opportunities presented by additive manufacturing in sectors such as automotive, aerospace, and biomedical engineering. His research not only aims to advance the technical aspects of manufacturing but also emphasizes the importance of sustainability and innovation. Through his work, Kurre seeks to bridge the gap between theoretical concepts and practical applications, ultimately driving advancements in the manufacturing landscape.

Award and Honor

Kurre Prasanth Kumar Reddy has received several accolades for his contributions to engineering and research. His active participation in national competitions, such as the Hybrid Vehicle Challenge and National Kart Racing Challenge, has earned him recognition for outstanding performance and leadership in team settings. Notably, he played a significant role in his team winning “Overall Best Performance” in both the National Solar Car Racing and the Go-Kart Racing events, showcasing his skills in design and fabrication. Additionally, his academic achievements have been acknowledged through various scholarships and recognition from his educational institutions. Kurre’s commitment to excellence, both in academia and in practical engineering applications, highlights his potential as a future leader in the field of manufacturing and innovation. As he continues to advance in his research career, he is likely to garner more awards and honors that reflect his dedication and contributions to the engineering community.

Conclusion

Kurre Prasanth Kumar Reddy is a promising candidate for the Best Researcher Award, given his strong academic background, technical skills, and commitment to his field. While he shows great potential with his research and practical experience, focusing on expanding his publication record, increasing networking efforts, and developing a niche expertise will further strengthen his profile. With targeted improvements, he can significantly enhance his contributions to the field of additive manufacturing and position himself as a leading researcher.

Publication top noted

  • Title: Selection of optimal process parameters to obtain defect-free builds in IN718 made by laser powder bed fusion
    Authors: KPK Reddy, BN Rao, MN Nazeemudheen, SK Manwatkar, SVSN Murty
    Year: 2023
    Cited by: 5
  • Title: Multi-objective optimization to specify optimal selective laser melting process parameters for SS316 L powder
    Authors: RK Prasanth Kumar, NR Boggarapu, SVS Narayana Murty
    Year: 2024
    Cited by: 1
  • Title: Analyzing the Influence of Tool Profile on Friction Stir Process with Taguchi Optimization and Tungsten Nano Powder
    Authors: K Syed, MA Ali, KPK Reddy, BN Rao
    Year: 2023
    Cited by: 1
  • Title: Multi-objective optimization to minimize cutting force and power consumption in corn stalk chopping processes
    Authors: KPK Reddy, SR Kumar, BN Rao
    Year: 2024
    Cited by: 0
  • Title: Optimal Turning Process Parameters for Finer Surface Finish of AZ31 Mg Alloy Rods for Automotive Products
    Authors: MT Anantha, S Pyatla, S Koneru, KPK Reddy, NR Boggarapu
    Year: 2024
    Cited by: 0
  • Title: Multi-Objective Optimization to Specify Optimal Friction Stir Welding Process Parameters for Dissimilar Mg Alloys (AZ31 and ZM21)
    Authors: MT Anantha, H Mugutkar, S Pyatla, KPK Reddy, BN Rao
    Year: 2024
    Cited by: 0
  • Title: Modified Taguchi Approach for Optimal Parameter Selection in Friction Spot Welding of AZ31 Mg Alloy
    Authors: MT Anantha, T Kanthimathi, S Pyatla, BN Rao, KPK Reddy
    Year: 2024
    Cited by: 0

Liangqi Wan | Engineering | Best Researcher Award

Mr. Liangqi Wan | Engineering | Best Researcher Award

Dr. at Nanjing University of Finance and Economics, China

Dr. Liangqi Wan is an accomplished assistant professor at Nanjing University of Finance and Economics, specializing in reliability-based design optimization and reliability analysis. He earned his Ph.D. from Nanjing University of Aeronautics and Astronautics, where he developed a solid foundation in engineering principles and methodologies. Dr. Wan’s academic journey reflects his dedication to enhancing the field of engineering through innovative research and teaching. He is known for his collaborative approach, working with fellow researchers to tackle complex problems in design optimization. His extensive publication record includes papers in esteemed journals, which highlights his contribution to advancing knowledge in his areas of expertise. Beyond academia, Dr. Wan is committed to mentoring the next generation of engineers, fostering an environment that encourages curiosity and critical thinking. His passion for research and education positions him as a prominent figure in his field, contributing not only to academic advancements but also to practical applications that can benefit society.

Professional Profile

Education

Dr. Liangqi Wan obtained his Ph.D. in engineering from Nanjing University of Aeronautics and Astronautics, a prestigious institution known for its focus on aeronautics and related disciplines. His academic journey began with a Bachelor’s degree, followed by a Master’s degree, both in fields closely aligned with engineering and applied sciences. This strong educational background equipped him with a comprehensive understanding of engineering principles, statistical methodologies, and optimization techniques. His doctoral research centered on reliability-based design optimization, where he explored innovative approaches to enhance design processes. Dr. Wan’s commitment to continuous learning is evident in his engagement with ongoing professional development activities and conferences, where he seeks to stay updated on the latest advancements in his field. This robust educational foundation and commitment to lifelong learning have significantly contributed to his success as a researcher and educator.

Professional Experience

Dr. Liangqi Wan currently serves as an assistant professor at Nanjing University of Finance and Economics, where he plays a vital role in shaping the academic landscape. In this capacity, he teaches various courses related to reliability engineering and design optimization, sharing his expertise with undergraduate and graduate students. His professional experience is marked by a strong emphasis on research, where he has led and participated in numerous projects focused on advanced methodologies in reliability analysis. Dr. Wan’s collaborative work with colleagues from diverse backgrounds demonstrates his ability to engage in interdisciplinary research. Additionally, his contributions extend beyond the university, as he actively participates in academic conferences and workshops, presenting his findings and networking with fellow researchers. His experience reflects a commitment to not only advancing his own research agenda but also fostering a culture of collaboration and innovation within the academic community.

Research Interest

Dr. Liangqi Wan’s research interests encompass a broad spectrum of topics, primarily focusing on reliability-based design optimization, reliability analysis, surrogate modeling, and robust design optimization. His work seeks to develop innovative methodologies that enhance the reliability and performance of engineering designs, addressing critical challenges in various industries. By employing advanced statistical techniques and machine learning approaches, Dr. Wan aims to create more efficient and effective design processes. His research also includes exploring the integration of Bayesian models and Gaussian processes, which contribute to improved decision-making in engineering design. Furthermore, Dr. Wan is interested in developing adaptive modeling techniques that can be applied in real-world scenarios, enhancing the applicability and impact of his research. Through his work, he aspires to contribute to the advancement of knowledge in reliability engineering and its practical applications, ultimately improving product performance and safety in engineering design.

Award and Honor

Dr. Liangqi Wan has received several accolades in recognition of his outstanding contributions to research and academia. His work has been acknowledged through publications in prestigious journals, which not only highlights the quality of his research but also reflects his commitment to advancing knowledge in his field. Additionally, he has been awarded various academic honors, demonstrating his dedication to excellence in teaching and research. Dr. Wan’s achievements include participation in international conferences where he has presented his research findings, earning him recognition among peers and industry experts. These awards and honors serve as a testament to his hard work and the impact of his research on the engineering community. Dr. Wan’s commitment to his field is further evidenced by his involvement in mentoring students and collaborating with fellow researchers, fostering a supportive environment for future innovations in reliability engineering.

Conclusion

Dr. Liangqi Wan is a highly qualified candidate for the Best Researcher Award, with a solid foundation in reliability-based design optimization and a track record of impactful research. His academic accomplishments, collaborative spirit, and potential for future contributions position him favorably for this recognition. Addressing areas for improvement, such as expanding his research impact and increasing his interdisciplinary collaboration, can further enhance his candidacy. Overall, Dr. Wan’s commitment to excellence in research makes him a deserving candidate for this prestigious award.

Publication top noted

  1. A new adaptive multi-kernel relevance vector regression for structural reliability analysis
    • Authors: Dong, M., Cheng, Y., Wan, L.
    • Year: 2024
    • Citations: 0
  2. Reliability sensitivity analysis for RBSMC: A high-efficiency multiple response Gaussian process model
    • Authors: Wu, J., Wan, L.
    • Year: 2024
    • Citations: 2
  3. A Novel Adaptive Bayesian Model Averaging-Based Multiple Kriging Method for Structural Reliability Analysis
    • Authors: Dong, M., Cheng, Y., Wan, L.
    • Year: 2024
    • Citations: 0
  4. Reselling or agency model under markdown pricing policy in the presence of strategic customers
    • Authors: Zhang, Q., Chen, H., Wan, L.
    • Year: 2022
    • Citations: 8
  5. Kriging ensemble model based on 0-1 programming model selection strategy for reliability-based design optimization
    • Authors: Wan, L., Ouyang, L.
    • Year: 2022
    • Citations: 1
  6. An improved reliability-based robust design optimization method using Bayesian seemingly unrelated regression and multivariate loss function
    • Authors: Wan, L., Ouyang, L., Zhou, T., Chen, Y.
    • Year: 2022
    • Citations: 5
  7. A novel adaptive Kriging method: Time-dependent reliability-based robust design optimization and case study
    • Authors: Jiang, Z., Wu, J., Huang, F., Lv, Y., Wan, L.
    • Year: 2021
    • Citations: 18
  8. Parallel efficient global optimization method: A novel approach for time-dependent reliability analysis and applications
    • Authors: Wu, J., Jiang, Z., Song, H., Wan, L., Huang, F.
    • Year: 2021
    • Citations: 16
  9. Robust Optimization for Precision Product using Taguchi-RSM and Desirability Function
    • Authors: Wu, J., Jiang, Z., Wan, L., Song, H., Abbass, K.
    • Year: 2021
    • Citations: 11
  10. Robust design method for non-normal distribution multiple quality characteristics of MEMS product
  • Authors: Wu, J., Song, H., Wan, L., Ma, D., Yang, J.
  • Year: 2020
  • Citations: 1

Manman Dong | Engineering | Best Researcher Award

Ms. Manman Dong | Engineering | Best Researcher Award

Dr. at Nanjing University of Aeronautics and Astronautics, China

Manman Dong, is a rising scholar specializing in Management Science and Engineering, with a strong interdisciplinary background in applied mathematics, reliability engineering, and computer science. She is currently pursuing her Ph.D. at Nanjing University of Aeronautics and Astronautics (NUAA), where her research has been distinguished by innovative methods in structural reliability analysis. In addition to her academic work at NUAA, she is conducting joint research at De Montfort University in the UK, further strengthening her expertise in computer science and technology. Manman Dong has consistently demonstrated a high level of intellectual rigor and a dedication to advancing knowledge in her fields of interest. Her work has earned her a strong reputation for both collaborative and independent research, contributing to international academic discussions.

Professional Profile

Education

Manman Dong has an impressive academic record. She completed her Bachelor’s degree in Information and Computing Science at Shandong University of Science and Technology in 2017, where she developed a solid foundation in mathematics and computational methods. This was followed by a Master’s degree in Mathematics from Qufu Normal University in 2020, where she focused on applied mathematics and its role in solving real-world problems. Currently, she is pursuing a Ph.D. in Management Science and Engineering at NUAA, where her research involves advanced methods in structural reliability analysis. Simultaneously, she is involved in a joint Ph.D. program at De Montfort University, where she deepens her expertise in computer science and its applications to engineering problems, making her educational background both diverse and specialized.

Professional Experience

Manman Dong’s professional experience is marked by her active participation in high-impact research projects that have been published in leading academic journals. She has worked closely with senior researchers on a variety of topics, including structural reliability analysis, Bayesian model averaging, and tensor approximation, contributing to the development of new computational models. Her collaborations with scholars like Yongbo Cheng and Liangqi Wan have resulted in significant advancements in structural reliability, and her work is regularly featured in prestigious journals such as Reliability Engineering & System Safety and IEEE Transactions on Reliability. In addition to her research work, Dong has presented her findings at several international conferences, further expanding her professional experience in academia. She also engages with both national and international academic communities through joint research and conferences.

Research Interest

Manman Dong’s research interests center on structural reliability analysis, Bayesian models, and computational optimization. She has a particular focus on developing innovative methods such as multi-kernel relevance vector regression and Bayesian model averaging for reliability analysis, making her work highly relevant to industries that rely on accurate and efficient structural assessments. Additionally, her studies on tensor approximation have explored advanced mathematical techniques to solve high-dimensional problems in both engineering and management. Her interdisciplinary approach combines methods from applied mathematics, engineering, and computer science, allowing her to tackle complex problems with cutting-edge solutions. This blend of expertise positions her at the forefront of research in structural reliability and optimization, where she continues to contribute novel insights and methodologies.

Award and Honor

Manman Dong has been recognized for her academic excellence and research contributions through several prestigious awards. In 2023, she was awarded the highly competitive CSC National Scholarship for Studying Abroad, which is a national-level honor that supports outstanding Chinese scholars in their pursuit of international academic training. Additionally, in 2022, she received the Excellence Award at the 10th Nanjing University of Aeronautics and Astronautics International Academic Conference, a school-level award recognizing her outstanding research presentations and contributions to academic discourse. These honors reflect both her academic rigor and the high regard in which she is held by her peers and mentors. Through her consistent academic achievements, Dong has established herself as an emerging leader in her field, with a strong potential for future accolades.

Conclusion

Manman Dong is a highly qualified candidate for the Best Researcher Award, thanks to her interdisciplinary expertise, strong academic background, and impactful contributions to reliability engineering and mathematics. Her recognition through awards and her publications in top-tier journals reflect her research excellence. With a focus on enhancing leadership in research and expanding her international collaborations, she has the potential to further elevate her research career. Overall, her achievements make her a deserving candidate for the award, positioning her as a promising and innovative researcher in her field.

Publication top noted

  • Title: A new adaptive multi-kernel relevance vector regression for structural reliability analysis
    Authors: Dong, M., Cheng, Y., Wan, L.
    Year: 2024
    Citations: 0
    Journal: Reliability Engineering and System Safety
    Volume: 243
    Article ID: 109890
  • Title: A Novel Adaptive Bayesian Model Averaging-Based Multiple Kriging Method for Structural Reliability Analysis
    Authors: Dong, M., Cheng, Y., Wan, L.
    Year: 2024
    Citations: 0
    Journal: IEEE Transactions on Reliability
  • Title: The partially symmetric rank-1 approximation of fourth-order partially symmetric tensors
    Authors: Dong, M., Wang, C., Zhu, Q., Chen, H.
    Year: 2023
    Citations: 1
    Journal: Optimization Letters
    Volume: 17
    Issue: 3
    Pages: 629–642
  • Title: Geometry of the Copositive Tensor Cone and its Dual
    Authors: Dong, M.-M., Chen, H.-B.
    Year: 2020
    Citations: 5
    Journal: Asia-Pacific Journal of Operational Research
    Volume: 37
    Issue: 4
    Article ID: 2040008
  • Title: A sparse rank-1 approximation algorithm for high-order tensors
    Authors: Wang, Y., Dong, M., Xu, Y.
    Year: 2020
    Citations: 9
    Journal: Applied Mathematics Letters
    Volume: 102
    Article ID: 106140

Caijin Wang | Engineering | Best Researcher Award

Mr. Caijin Wang | Engineering | Best Researcher Award

Associate professor at College of Civil Engineering and Architecture, Xinjiang University , China

Caijin Wang is an Associate Professor at Xinjiang University, Urumqi, China, specializing in civil engineering with a focus on Cone Penetration Test (CPTU) in-situ testing, highway reconstruction and expansion, and heat and mass transfer in porous media. Born on February 14, 1995, Wang’s research is critical for understanding soil behavior and enhancing infrastructure projects, particularly in regions needing modernization. His expertise contributes significantly to sustainable construction practices and energy efficiency. While Wang is recognized within the academic community, there are opportunities for him to improve his visibility through increased publications and interdisciplinary collaborations. By engaging in public outreach and connecting with industry stakeholders, he can further enhance the real-world application of his research. Overall, Caijin Wang’s combination of expertise and academic position positions him as a promising candidate for recognition in his field.

Professional Profile

Education

Caijin Wang obtained his academic qualifications with a strong focus on civil engineering and related fields. He earned his Bachelor’s degree in Civil Engineering from a reputable university, laying a solid foundation for his future studies. He then pursued a Master’s degree in Structural Engineering, where he specialized in highway reconstruction and expansion, further enhancing his expertise in infrastructure development. His academic journey culminated in a Ph.D. in Geotechnical Engineering, where he conducted extensive research on CPTU in-situ testing and heat and mass transfer in porous media. This rigorous educational background not only equipped him with advanced technical skills but also fostered a deep understanding of practical applications in civil engineering. Wang’s education reflects a commitment to excellence and innovation, positioning him as a knowledgeable and competent researcher and educator in his field.

Professional Experience

Mr. Caijin Wang is an accomplished Associate Professor at Xinjiang University, specializing in civil engineering with a focus on CPTU in-situ testing, highway reconstruction and expansion, and heat and mass transfer in porous media. His expertise in geotechnical engineering underpins significant advancements in infrastructure development, addressing the complexities of soil behavior in various environmental conditions.

Mr. Wang has led numerous research projects aimed at enhancing the performance and sustainability of civil engineering practices. His work involves innovative methodologies in soil testing and analysis, contributing to the effective design and implementation of transportation systems in China.

Additionally, he actively engages with students, fostering a collaborative learning environment and mentoring emerging engineers. His contributions to academic publications and conferences reflect his commitment to advancing the field of civil engineering, making him a respected figure in both academic and professional circles.

Research Interest

Mr. Caijin Wang’s research interests are centered around the field of civil engineering, with a particular focus on Cone Penetration Test (CPTU) in-situ testing, highway reconstruction and expansion, and heat and mass transfer in porous media. His work in CPTU is vital for assessing soil properties, enabling effective design and construction of civil engineering projects. By understanding the mechanics involved in highway reconstruction, he aims to improve existing infrastructure and develop more efficient expansion methods that enhance safety and sustainability. Additionally, his exploration of heat and mass transfer in porous media contributes to the understanding of thermal behavior in construction materials, which is essential for optimizing energy efficiency in buildings. Through his interdisciplinary approach, Mr. Wang seeks to address challenges in civil engineering while promoting sustainable practices and advancements in infrastructure development, ultimately contributing to the enhancement of urban environments.

Award and Honor

Mr. Caijin Wang, an Associate Professor at Xinjiang University, has garnered significant recognition for his outstanding contributions to civil engineering, particularly in CPTU in-situ testing, highway reconstruction, and heat and mass transfer in porous media. His research has led to innovations that enhance infrastructure development and sustainability in Xinjiang and beyond.

Mr. Wang has been honored with multiple awards for his academic excellence, including the Young Researcher Award at regional engineering conferences and recognition from professional engineering societies for his impactful publications. His commitment to mentoring students has also earned him accolades for excellence in teaching and academic guidance.

Furthermore, he actively engages with the local community, promoting engineering education and sustainable practices, reflecting his dedication to both academic and societal advancement. Mr. Wang’s achievements underscore his role as a leading figure in civil engineering research, making him a deserving candidate for various prestigious awards and honors.

Conclusion

Based on the strengths highlighted, Caijin Wang appears to be a suitable candidate for the Best Researcher Award. His expertise in critical areas of civil engineering, combined with his academic position, positions him well for recognition. However, focusing on improving his publication record, enhancing interdisciplinary collaborations, and increasing public engagement can further bolster his candidacy for the award. By addressing these areas for improvement, he can maximize his contribution to the field and enhance his impact as a researcher.

Publication top noted

  1. Wang, C., Yang, Y.-L., Cai, G., Zhang, T. (2024)
    Improvement of normalized prediction model of soil thermal conductivity. International Communications in Heat and Mass Transfer, 157, 107792.
  2. Wang, C., Yang, Y., Chang, J., Wu, M., Liu, S. (2024)
    Prediction of the Consolidation Coefficient of Soft Soil Based on Machine Learning Models. Soil Mechanics and Foundation Engineering, 61(3), 223–229.
  3. Wang, C., Wu, M., Cai, G., Zhao, Z., Chang, J. (2024)
    Prediction of soil thermal conductivity using individual and ensemble machine learning models. Journal of Thermal Analysis and Calorimetry, 149(11), 5415–5432.
  4. Wang, C.-J., Wu, M., Yang, Y., Liu, X.-N., Liu, S.-Y. (2024)
    Study on Spatial Variability of Soft Soil Parameters for Expressway Expansion Foundation Based on Piezocone Penetration Testing. Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 37(2), 197–208.
  5. Wu, M., Zhao, Z., Rong, Q., Duan, W., Wang, C. (2024)
    Evaluating undrained shear-strength of marine clay using free-fall penetration considering uncertainty: an experimental and Bayesian analysis study. Georisk, 18(3), 706–726.
  6. Wang, C.-J., Wu, M., Yang, Y., He, H., Chang, J.-X. (2023)
    Prediction of consolidation coefficient of soft soil using an artificial neural network models with biogeography-based optimization. Yantu Lixue/Rock and Soil Mechanics, 44(10), 3022–3030.
  7. Wang, C., Wu, M., Cai, G., Chang, J., Zhao, Z. (2023)
    Theoretical calculation model for the thermal conductivity of scrap tire rubber–sand mixtures based on soil components. Journal of Thermal Analysis and Calorimetry, 148(20), 11041–11051.
  8. Wang, C., Wu, M., Cai, G., Zhao, Z., Liu, S. (2023)
    Prediction of soil thermal resistivity based on multivariate distribution models. Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 42, 3674–3686.
  9. Wu, M., Zhao, Z., Wang, C., Cai, G. (2023)
    In-situ evaluation of barrier performance of cutoff wall based on Bayesian-Particle swarm optimization using piezocone penetration test. Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 42(2), 483–496.
  10. Wang, C., Yang, Y., Wu, M., Chang, J., Wang, M. (2023)
    Settlements of composite foundation for expressway expansion based on CPTU tests. Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering, 45, 176–179.

Xinghua Li | Engineering | Best Researcher Award

Dr. Xinghua Li | Engineering | Best Researcher Award

 Beijing University of Posts and Telecommunications , China

Dr. Xinghua Li, is a dedicated researcher specializing in drone cluster control and multi-robot cooperative control. He holds a Ph.D. in Mechanical Engineering from Beijing University of Posts and Telecommunications and is currently pursuing postdoctoral studies in Control Science and Engineering at Zhejiang University. Dr. Li’s research focuses on collaborative control methods for firefighting robots, contributing to significant projects in emergency management. He has published numerous papers in reputable journals and holds several patents related to robotic control technologies. Dr. Li has received multiple academic scholarships and awards, recognizing his achievements and commitment to innovation. Proficient in various technical tools, he actively applies his knowledge to real-world challenges, enhancing safety and efficiency in critical scenarios. His expertise positions him as a promising figure in the field, dedicated to advancing research and practical applications in robotics and automation.

Professional Profile

Education

Dr. Xinghua Li has a comprehensive and impressive educational background in engineering and control science. He completed his Bachelor’s degree in Automation at Jiujiang University in 2016, followed by a Master’s in Control Engineering from North China Electric Power University in 2019. Dr. Li pursued his Ph.D. in Mechanical Engineering at Beijing University of Posts and Telecommunications, where he developed expertise in collaborative control methods for multiple firefighting robots. Currently, he is expanding his knowledge and research capabilities as a postdoctoral researcher in Control Science and Engineering at Zhejiang University, focusing on drone cluster control and multi-robot cooperative control. His educational journey reflects a strong foundation in robotics and automation, complemented by hands-on research experience and contributions to key projects in the field, making him a prominent figure in his area of expertise.

Professional Experience

Dr. Xinghua Li is an accomplished researcher specializing in drone cluster control and multi-robot cooperative control. Currently a postdoctoral researcher at Zhejiang University, he focuses on advanced control science and engineering. Dr. Li earned his Ph.D. in Mechanical Engineering from Beijing University of Posts and Telecommunications, where he developed collaborative control methods for multiple firefighting robots as part of significant projects funded by the Ministry of Emergency Management of China. His research includes innovative work on collaborative positioning, environmental firefighting strategies, and intelligent UAV systems. Dr. Li has published multiple articles in prestigious journals, contributed to key patents, and received various scholarships and awards throughout his academic career, reflecting his dedication and impact in the field. His professional experience encompasses leading projects that enhance the efficiency and effectiveness of robotic systems in complex environments, underscoring his commitment to advancing technology in emergency management and robotics.

Research Interest

Dr. Xinghua Li’s research interests primarily focus on drone cluster control and multi-robot cooperative control systems. His work emphasizes the development of collaborative control methods for intelligent firefighting robots, aiming to enhance efficiency and safety in emergency response situations. Dr. Li investigates advanced technologies for real-time three-dimensional space mapping, obstacle avoidance, and multi-source heterogeneous information fusion to enable seamless coordination among multiple robotic systems. His innovative research includes designing algorithms for autonomous navigation, dynamic path planning, and collaborative positioning, particularly in complex and unpredictable environments. By integrating theoretical principles with practical applications, Dr. Li’s research seeks to revolutionize the capabilities of robotic systems, contributing to fields such as disaster management, industrial automation, and smart logistics. Through his efforts, he aims to address pressing societal challenges, enhancing the operational effectiveness of robotics in real-world scenarios.

Award and Honor

Dr. Xinghua Li is a distinguished researcher in the fields of drone cluster control and multi-robot cooperative control. Throughout his academic journey, he has received numerous accolades, including the National Inspirational Scholarship and Outstanding Graduate honors from both Jiujiang University and Beijing University of Posts and Telecommunications. His innovative contributions to emergency management through collaborative control methods for firefighting robots have garnered recognition at various levels. Dr. Li has published several impactful papers in renowned journals and holds multiple patents, showcasing his commitment to translating research into practical applications. His dedication to advancing technology for public safety has made him a key figure in his field, earning him respect and admiration from peers and institutions alike. As a postdoctoral researcher at Zhejiang University, he continues to push the boundaries of robotics research, solidifying his status as a leading expert and promising future innovator.

Conclusion

Li Xinghua is a strong candidate for the Best Researcher Award, given his robust educational background, significant research contributions, and innovative projects in the field of robotics and control. His work on collaborative control of firefighting robots is particularly commendable and aligns well with societal needs for safety and emergency management. While there are opportunities for growth in terms of broader exposure and public engagement, his current achievements position him as a promising researcher deserving of this recognition. His ongoing commitment to innovation and excellence in research further solidifies his candidacy for the award.

Publication top noted

  • Publication Title: Adaptive virtual leader–leader–follower based formation switching for multiple autonomous tracked mobile robots in unknown obstacle environments
    Authors: Li, X., Liu, X., Wang, G., Wu, S., Li, W.
    Year: 2024
    Citation Count: 0
  • Publication Title: A Formation Obstacle-avoidance Control Method for Multiple Intelligent Firefighting Robots
    Authors: Li, X., Liu, X., Wang, G., Wu, S., Li, W.
    Year: 2024
    Citation Count: 1
  • Publication Title: Semi-direct Visual SLAM Algorithm Based on Online Photometric Calibration
    Authors: Gu, K., Liu, X., Wang, G., Li, X.
    Year: 2022
    Citation Count: 1
  • Publication Title: Discrete open-closed-loop PID-type iterative learning control for trajectory tracking of tracked mobile robots
    Authors: Li, X., Liu, X., Wang, G., Gu, K., Che, H.
    Year: 2022
    Citation Count: 2
  • Publication Title: Cooperative Target Enclosing and Tracking Control with Obstacles Avoidance for Multiple Nonholonomic Mobile Robots
    Authors: Li, X., Liu, X., Wang, G., Shi, C., Che, H.
    Year: 2022
    Citation Count: 11
  • Publication Title: Trajectory Tracking for Wheeled Mobile Robots Considering the Castor Wheel’s Torsion Angle Disturbance
    Authors: Tian, Z., Liu, X., Wang, G., Zhao, Y., Li, X.
    Year: 2022
    Citation Count: 0
  • Publication Title: An Adaptive Hybrid Filter Algorithm for Attitude Estimation
    Authors: Li, X.-H., Liu, X.-P., Wang, G., Zhao, Y.-L., Li, Y.-W.
    Year: 2021
    Citation Count: 1

Vuong Duc-Phuc | Engineering | Best Researcher Award

Mr. Vuong Duc-Phuc | Engineering | Best Researcher Award

Lecturer at Vimaru, Vietnam

Mr. Vuong Duc Phuc is a highly qualified engineer with a Doctor of Philosophy in Engineering from Mokpo National Maritime University, specializing in Maritime Sciences. With extensive experience in technical supervision and project management, he has contributed to the construction of various vessels, including container ships and naval ships, serving as a Technical Supervisor at Namanh Co. Ltd. and previously at Vinashin. Since 2004, he has been a lecturer at Vietnam Maritime University, educating future engineers in marine electrical systems and automation. His technical skills encompass various PLC programming languages and machinery maintenance, enhancing his teaching and research capabilities. Proficient in English, he possesses strong analytical and problem-solving skills. Despite his substantial practical experience, he aims to increase his research output and engage in collaborative projects to further his impact in maritime engineering. Vuong Duc Phuc’s blend of academic and practical expertise positions him as a valuable asset in his field.

Professional Profile

Education

Mr. Vuong Duc Phuc has an impressive educational background in engineering, particularly in maritime sciences and automation. He earned his Doctor of Philosophy in Engineering from Mokpo National Maritime University in South Korea, where he focused on control and automation engineering, completing his dissertation on the study of control systems. Prior to this, he obtained a Master’s degree in Automation Engineering from Vietnam Maritime University, specializing in Marine System Engineering. His academic journey began with a Bachelor’s degree in Marine System Engineering, also from Vietnam Maritime University, where he laid the foundation for his expertise in marine engineering. This solid educational foundation, complemented by his hands-on experience in various maritime projects, has equipped Mr. Phuc with a deep understanding of marine systems and automation technologies, allowing him to excel both as an educator and a practitioner in the maritime engineering field.

Professional Experience

Mr. Vuong Duc Phuc has extensive professional experience in maritime engineering and automation. He began his career as a Maintenance Engineer at PTSC Production Services, where he played a vital role in maintaining and optimizing the performance of machinery on Floating Storage and Offloading (FSO) and Floating Production Storage and Offloading (FPSO) units. His responsibilities included developing maintenance procedures, scheduling maintenance plans, and conducting root cause analyses for equipment failures.

Currently, he serves as a Technical Supervisor at Namanh Co. Ltd., overseeing the overhaul of electrical machines and programming Human-Machine Interfaces (HMIs) and Programmable Logic Controllers (PLCs) for maritime applications. His previous role as a Technical Supervisor for Vinashin involved supervising the auto-electronic and electrical systems of various vessels, including container ships and naval ships. Additionally, Mr. Phuc is a dedicated lecturer at Vietnam Maritime University, teaching courses on marine auto-electric systems and contributing to the next generation of maritime engineers.

Research Interest

Mr. Vuong Duc Phuc’s research interests primarily lie in maritime engineering, focusing on control and automation systems within marine environments. His academic background, which includes a Ph.D. in Engineering with a specialization in Maritime Sciences, provides a solid foundation for his research endeavors. He is particularly interested in the development and optimization of auto-electric systems for marine applications, including the integration of advanced technologies such as Human-Machine Interfaces (HMIs) and Programmable Logic Controllers (PLCs).

Additionally, Mr. Phuc explores innovative solutions for enhancing the efficiency and reliability of electrical systems on maritime vessels, contributing to safety and operational effectiveness. His work includes investigating maintenance strategies for rotating machinery on Floating Storage and Offloading (FSO) and Floating Production Storage and Offloading (FPSO) units. As a lecturer at Vietnam Maritime University, he is also dedicated to mentoring students and fostering research in marine automation and system engineering.

Award and Honor

Mr. Vuong Duc Phuc has received several awards and honors throughout his academic and professional career, reflecting his dedication and contributions to maritime engineering and education. As a senior lecturer at Vietnam Maritime University, he has been recognized for his excellence in teaching, particularly in the fields of marine auto-electric systems and marine electrical equipment. His commitment to student mentorship and research development has earned him accolades from both students and faculty.

In addition, Mr. Phuc has played a significant role in various maritime projects, receiving recognition for his technical leadership and innovative solutions in the overhaul of electrical machines and systems on ships. His contributions to the industry, particularly in the maintenance and optimization of floating storage and production systems, have been acknowledged by his peers, further solidifying his reputation as a leader in the field. These awards and honors exemplify his impact on maritime engineering and education in Vietnam

Conclusion

Vuong Duc Phuc demonstrates strong qualifications and experience in engineering and maritime sciences, making him a suitable candidate for the Best Researcher Award. His strengths in project management, teaching, and technical skills position him well in his field. However, to enhance his candidacy, he should focus on increasing his research output and visibility, engaging in collaborative projects, and seeking funding opportunities. With these improvements, he could significantly contribute to the advancement of maritime engineering and solidify his reputation as a leading researcher in his field.

Publication top noted

  1. Priority-aware scheduling method based on linguistic interval type 2 fuzzy logic systems for dense industrial IoT networks employing soft computing

    📝 Authors: Roy, S., Vuong, D.-P., Jana, D.K.

    📅 Year: 2024

    📊 Citations: 2

  2. Fuzzy-proportional-integral-derivative-based controller for object tracking in mobile robots

    📝 Authors: Vuong, D.-P., Nguyen, T.-T.

    📅 Year: 2023

    📊 Citations: 2

  3. The optimal control system of the ship based on the linear quadratic regular algorithm

    📝 Authors: Nguyen, M.-C., Vuong, D.-P.

    📅 Year: 2020

    📊 Citations: 1

  4. The MRAC based – adaptive control system for controlling the speed of direct current motor

    📝 Authors: Nguyen, M.-C., Vuong, D.-P., Nguyen, T.-T.

    📅 Year: 2020

    📊 Citations: 3

  5. Correlation Receiver with Nonlinearity Blanking for DCSK Systems under Pulse Jamming Attack

    📝 Authors: Vuong, D.-P., Le, D.-K., Nguyen, K.-K., Van Nguyen, B.

    📅 Year: 2019

    📊 Citations: 6

  6. Capacity Maximization for an RF Energy-harvesting Cooperative Cognitive Radio Network

    📝 Authors: Nguyen, K.-K., Vuong, D.-P., Khanh, L.D.

    📅 Year: 2018

    📊 Citations: 0

  7. Resource Allocation with Minimum Outage Probability in Multicarrier Multicast Systems

    📝 Authors: Vuong, D.-P., Dao, M.-Q., Le, D.-K.

    📅 Year: 2018

    📊 Citations: 3

  8. Pump efficiency instrumentation based on thermodynamic method and traditional technique

    📝 Authors: Bae, C.-O., Vuong, D.-P., Park, Y.-S.

    📅 Year: 2012

    📊 Citations: 2