Liangqi Wan | Engineering | Best Researcher Award

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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

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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

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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

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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

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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

Vijayakumar Ponnusamy Ponnusamy | Engineering | Best Researcher Award

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Dr Vijayakumar Ponnusamy Ponnusamy | Engineering | Best Researcher Award

Professor at SRM Institute of Science and Technology, India

Dr. Vijayakumar Ponnusamy is a distinguished academic with over 22 years of experience in Electronics and Communication Engineering (ECE). He currently serves as a Professor at SRM Institute of Science and Technology, Chennai, where he has contributed significantly to research in areas like cognitive radio, machine learning, deep learning, wireless communication, and embedded systems. Dr. Ponnusamy has an extensive background in both academic and industrial research, having led several funded projects and published over 100 papers in high-impact journals. His expertise spans IoT, AI-driven healthcare systems, and wireless protocols. Dr. Ponnusamy has received numerous accolades, including the Dr. Abdul Kalam Young Scientist Award and Best Paper Awards at international conferences. He has also supervised PhD scholars and holds multiple patents in innovative technologies like AI-based healthcare devices and wireless sensor networks. His work reflects a strong commitment to socially relevant problem-solving through interdisciplinary research.

Professional Profile

Education

Dr. Vijayakumar Ponnusamy holds a strong academic foundation in Electronics and Communication Engineering (ECE). He completed his Bachelor’s degree (B.E.) in Electronics and Communication Engineering, which laid the groundwork for his technical expertise. He then pursued a Master’s degree (M.E.) in Communication Systems, further enhancing his knowledge in areas like wireless communication, signal processing, and networking. Dr. Ponnusamy earned his PhD in Electronics and Communication Engineering, focusing on advanced research in cognitive radio, wireless communication, and embedded systems. His doctoral research emphasized innovation in communication protocols and AI-based systems, contributing significantly to his field. Throughout his educational journey, he has demonstrated a commitment to integrating cutting-edge technologies with practical applications, which later shaped his career in academia and research. Dr. Ponnusamy’s robust academic background has been instrumental in his contributions to machine learning, IoT, and AI-driven solutions, particularly in the healthcare and communication sectors.

Professional Experience

Dr. Vijayakumar Ponnusamy has a rich professional background, with extensive experience in academia and research. He has worked as a professor in the field of Electronics and Communication Engineering, where he has been actively involved in teaching, mentoring, and guiding research students. His expertise spans key areas such as cognitive radio, wireless communication, embedded systems, and machine learning, contributing to advancements in these fields. In addition to his academic roles, Dr. Ponnusamy has participated in numerous research projects, collaborating with industry professionals and researchers globally. His work has focused on developing AI-driven solutions for healthcare, communication technologies, and the Internet of Things (IoT). He has also published extensively in reputed international journals and conferences. Dr. Ponnusamy’s experience bridges the gap between theoretical research and practical applications, making him a significant contributor to innovations in communication systems and AI-based technologies. His leadership in academic research has earned him recognition in the global scientific community.

Research Interest

Dr. Vijayakumar Ponnusamy’s research interests lie at the intersection of cutting-edge technologies, focusing on areas such as cognitive radio networks, wireless communication, embedded systems, and machine learning. His work aims to enhance communication efficiency and intelligent systems, particularly in fields like healthcare and the Internet of Things (IoT). Dr. Ponnusamy is particularly passionate about cognitive radio, where his research addresses spectrum management, improving bandwidth efficiency, and solving communication bottlenecks. He also explores AI-driven solutions, applying machine learning algorithms to optimize wireless systems and enable smarter, adaptive communication networks. In the embedded systems domain, his research delves into designing efficient hardware-software integration to support next-generation applications. Dr. Ponnusamy’s interdisciplinary approach integrates theory with practical solutions, contributing to the advancement of wireless technologies, IoT, and AI. His research is aimed at creating innovative, scalable solutions that can have real-world applications across various industries.

Award and Honor

Dr. Vijayakumar Ponnusamy has been recognized for his contributions to academia and research through numerous awards and honors. His work in wireless communication, cognitive radio networks, and embedded systems has earned him accolades at both national and international levels. He has received prestigious best paper awards at several renowned conferences, underscoring the impact of his research in enhancing communication systems and advancing technology in his field. Dr. Ponnusamy has also been the recipient of various research grants from leading institutions, supporting his work on innovative projects in machine learning, IoT, and AI-driven communication solutions. His dedication to academic excellence has earned him recognition as a distinguished researcher and educator, with invitations to serve as a keynote speaker at prominent global forums. These awards and honors highlight Dr. Ponnusamy’s ongoing commitment to pushing the boundaries of technology and contributing meaningful advancements to the scientific community.

Conclusion

Vijayakumar Ponnusamy is a highly qualified candidate for the Best Researcher Award. His extensive research contributions, particularly in the fields of wireless communication, machine learning, and embedded systems, coupled with his strong academic background and numerous accolades, position him as a competitive nominee. Strengthening international collaborations and focusing on the broader societal impact of his work could enhance his chances further.

Publication top noted

  • 📄 “Real-Time Monitoring and Assessment of Rehabilitation Exercises for Low Back Pain through Interactive Dashboard Pose Analysis Using Streamlit—A Pilot Study”
    • Authors: Ekambaram, D., Ponnusamy, V.
    • Year: 2024
    • Journal: Electronics (Switzerland), 13(18), 3782
    • Citations: 0
  • 📄 “A Review of Secure Healthcare Data Analytics using Federated Machine Learning and Blockchain Technology”
    • Authors: Manickam, N., Ponnusamy, V.
    • Year: 2024
    • Journal: IEIE Transactions on Smart Processing and Computing, 13(3), pp. 254–262
    • Citations: 0
  • 📄 “Enhancement of Ambulatory Glucose Profile for Decision Assistance and Treatment Adjustments”
    • Authors: Satuluri, V.K.R.R., Ponnusamy, V.
    • Year: 2024
    • Journal: Diagnostics, 14(4), 436
    • Citations: 0
  • 📄 “Real-Time AI-Assisted Visual Exercise Pose Correctness during Rehabilitation Training for Musculoskeletal Disorder”
    • Authors: Ekambaram, D., Ponnusamy, V.
    • Year: 2024
    • Journal: Journal of Real-Time Image Processing, 21(1), 2
    • Citations: 4
  • 📚 “Artificial Intelligence, Computer Vision, and Robotics for Industry 5.0”
    • Authors: Gouthaman, P., Shanthi, R.R., Ponnusamy, V., Arivazhagan, N., Nallarasan, V.
    • Year: 2024
    • Book: Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities, pp. 196–216
    • Citations: 0
  • 📚 “AI-Enabled Digital Twin Technology in Smart Manufacturing”
    • Authors: Ponnusamy, V., Ekambaram, D., Zdravkovic, N.
    • Year: 2024
    • Book: Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities, pp. 248–270
    • Citations: 0
  • 📄 “Genetic Algorithm and the Kruskal-Wallis H-test-Based Trainer Selection Federated Learning for IoT Security”
    • Authors: Bhavani, A., Ponnusamy, V.
    • Year: 2024
    • Journal: IEEE Access (in press)
    • Citations: 0
  • 📄 “An Integrated Federated Machine Learning and Blockchain Framework with Optimal Miner Selection for Reliable DDOS Attack Detection”
    • Authors: Saveetha, D., Maragatham, G., Ponnusamy, V., Zdravkovic, N.
    • Year: 2024
    • Journal: IEEE Access (in press)
    • Citations: 0
  • 📄 “Impact of Internet of Things in Smart Agriculture”
    • Authors: Siva, V., Ponnusamy, V.
    • Year: 2024
    • Conference Paper: Lecture Notes in Networks and Systems, 946, pp. 349–359
    • Citations: 0
  • 📚 “Robust Touch-Free Palm Vein Sensor Authentication System”
    • Authors: Ponnusamy, V., Madhava, R., Balasabarish, E., Durga, K.H., Sangeetha, M.
    • Year: 2024
    • Book: Signals and Communication Technology, Part F2556, pp. 565–574
    • Citations: 0