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.

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.

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.

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.

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.

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.

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

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