Ling Xu | Engineering | Young Scientist Award | 4273

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Assoc. Prof. Dr. Ling Xu | Engineering | Young Scientist Award

Teacher | Fuzhou University | China

Assoc. Prof. Dr. Ling Xu is an Associate Professor at the College of Civil Engineering, Fuzhou University, specializing in transportation infrastructure construction, pavement materials, and maintenance engineering. He holds a doctorate in Transportation Engineering, a visiting scholarship in civil infrastructure research, and a bachelor’s degree in Civil Engineering, providing a solid academic foundation in pavement mechanics, material behavior, and life-cycle performance. His professional experience includes contributing to national and industry-funded projects on polyurethane concrete runway overlays, rubberized asphalt durability, high RAP mixture cracking mechanisms, high-speed railway waterproofing layers, and flexible interlayer systems for airfield pavements. His research focuses on low-carbon pavement materials, road maintenance technologies, numerical simulation, data mining, image processing, and life-cycle analysis, leading to impactful publications in high-ranking international journals on asphalt modification, pavement sustainability, thermal-mechanical behavior, and innovative maintenance materials. Recognized with a Young Scientist Award, he has also contributed to the academic community through editorial and review activities, professional memberships, and active participation in interdisciplinary research collaborations.

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Featured Publications

Md Ataur Rahman | Mechanical Enginnering | Excellence in Research Award

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Prof. Md Ataur Rahman | Mechanical Enginnering | Excellence in Research Award

Professor | Eastern Michigan University | United States

Professor Md Ataur Rahman is a faculty member in the GameAbove College of Engineering and Technology at Eastern Michigan University, where his research centers on automotive engineering, electric mobility, and intelligent mechanical systems. His academic foundation includes a PhD in Automotive Engineering from Universiti Putra Malaysia, an Executive MBA in Techno-Entrepreneurship jointly awarded by Cranfield University and Universiti Teknologi Malaysia, and a Bachelor of Science in Mechanical Engineering from Chittagong University of Engineering and Technology. His research portfolio integrates advanced electric vehicle technologies, intelligent control systems, adaptive machine-learning models, and sustainable transportation solutions. He has contributed to the development of novel electric propulsion systems, energy-efficient drivetrains, smart supercapacitors, and intelligent gearboxes, supported by multidisciplinary collaborations and strong publication output. His work in prototype development and technology commercialization bridges academia and industry, informed by his experience in electric vehicle design, electrification consultancy, and automated tractor system innovation. He also provides leadership in research mentoring, grant proposal development, and engineering program enhancement, fostering impactful research culture and interdisciplinary innovation. A Chartered Engineer and active member of ASME and SAE, he is recognized for his contributions to advancing electric mobility research, intelligent mechanical design, and future-focused engineering technologies.

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Top 5 Featured Publications

 

Feng Xiang | Mechanical Engineering | Best Researcher Award

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Prof. Dr. Feng Xiang | Mechanical Engineering | Best Researcher Award

Professor | Wuhan University of Science and Technology | China

Prof. Dr. Xiang Feng, Vice Dean, Professor, and Doctoral Supervisor in the School of Mechanical Engineering at Wuhan University of Science and Technology, is a distinguished scholar in manufacturing intelligent services, digital twins, and green manufacturing, holding advanced degrees in mechanical engineering with a specialization aligned to intelligent manufacturing systems. With extensive professional experience, he has led major national, provincial, and industrial research initiatives as principal investigator of multiple NSFC projects as well as key programs supported by leading government and industry bodies, while contributing significant academic leadership as a co-initiator of the National Conference on Digital Twins and Intelligent Services. His research has produced influential advancements in digital-twin-enabled intelligent service systems and sustainable manufacturing, reflected in more than thirty publications in top-tier journals including IEEE Transactions on Industrial Informatics, Journal of Manufacturing Systems, International Journal of Advanced Manufacturing Technology, Advanced Intelligent Systems, CIMS, China Mechanical Engineering, and Scientia Sinica Informationis, alongside six granted invention patents and co-editorship of three English monographs on digital twins. Prof. Feng’s academic service is equally distinguished: he serves on national expert committees for digital-twin and manufacturing-service standards, acts as an Advisory Board Member of the high-impact journal Digital Twin, contributes as an Editorial Board Member of Digital Engineering, and holds leadership roles such as Deputy Secretary-General of the Digital Twin Application Branch of the China Productivity Promotion Center Association. Recognized for his scientific contributions, he is a recipient of the First Prize of the Mechanical Industry Science and Technology Award, underscoring his sustained impact on advancing intelligent manufacturing and digital-twin technologies.

Profiles: Scopus | ORCID

Featured Publications

1. Inverse kinematics solution for demolition robot manipulators based on improved Newton–Raphson algorithm. (2025). Concurrency and Computation: Practice and Experience.

2. A federated learning-based method for personalized manufacturing service recommendation with collaborative relationships. (2025). Applied Soft Computing.

3. Human-centric smart manufacturing: Analysis and prospects of human activity recognition. (2025). Journal of Mechanical Engineering (Jixie Gongcheng Xuebao).

4. Analysis and control of manufacturing service collaboration networks failure under intentional attacks. (2025). Knowledge-Based Systems.

5. Modeling and optimization of manufacturing service collaboration based on digital twins. (2025). International Journal of Advanced Manufacturing Technology.

Prof. Dr. Xiang Feng’s pioneering research in digital twins and intelligent manufacturing enhances the scientific foundations of smart industrial systems while driving practical advancements in sustainable, efficient, and human-centric production. His innovations bridge academic discovery and industrial application, shaping next-generation manufacturing technologies that strengthen global competitiveness and accelerate digital transformation.

Chang Soo Kim | Engineering | Best Researcher Award

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Prof. Chang Soo Kim | Engineering | Best Researcher Award

Professor | Pukyong National University | South Korea

Professor. Chang Soo Kim is a distinguished Full Professor in the Division of Computer and AI Engineering at PuKyong National University, recognized for his expertise in intelligent manufacturing systems, artificial intelligence, and computational optimization. He holds advanced degrees in computer science with specialization in AI-driven optimization and machine learning, forming the foundation for his multidisciplinary research career. Throughout his long-standing academic tenure, he has served in key leadership roles including department chair, graduate program administrator, research center director, and executive leader for university–industry cooperation, successfully guiding large-scale projects, fostering collaborative innovation, and advancing strategic academic initiatives. His research focuses on flexible job shop scheduling, deep learning–based fault diagnosis, time-series forecasting, metaheuristic optimization, and smart industrial systems. He has produced an extensive portfolio of influential publications in high-impact SCI-indexed journals, contributing novel hybrid algorithms, trainable fusion strategies, adaptive scheduling frameworks, lightweight diagnostic models, and intelligent computational methods that support the evolution of smart manufacturing and data-driven engineering. His scholarly achievements have earned him multiple recognitions, including awards for research excellence, and he actively contributes to the global academic community through editorial service, participation in professional societies, and engagement in scientific committees. With a sustained record of innovative research, academic leadership, and impactful contributions to computer and AI engineering, Professor Chang Soo Kim exemplifies the qualities of a leading researcher whose work continues to influence both industry and academia.

Profiles:  Scopus

Featured Publications

1. Kim, C. S., et al. (2025). Flexible job shop scheduling optimization with multiple criteria using a hybrid metaheuristic framework. Processes.

2. Kim, C. S., et al. (2025). Multi-branch global Transformer-assisted network for fault diagnosis. Applied Soft Computing.

3. Kim, C. S., et al. (2025). DL-MSCNN: A general and lightweight framework for fault diagnosis with limited training samples. Journal of Intelligent Manufacturing.

4. Kim, C. S., et al. (2025). Enhanced quantum-based DNA sequence alignment with noise handling and error detection. IEEE Access.

5. Kim, C. S., et al. (2024). GAILS: An effective multi-object job shop scheduler based on genetic algorithm and iterative local search. Scientific Reports.

Professor Chang Soo Kim’s pioneering research in intelligent manufacturing, AI-driven optimization, and fault diagnosis advances the scientific foundations of smart industry while enabling more efficient, reliable, and data-driven production systems. His innovative computational frameworks and adaptive algorithms contribute directly to industrial digital transformation, fostering technological competitiveness and sustainable global innovation.

Weitao Yue | Engineering | Research Excellence Award

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Dr. Weitao Yue | Engineering | Research Excellence Award

China University of Mining and Technology | China

Dr. Weitao Yue is a Ph.D. candidate in Safety Science and Engineering at the China University of Mining and Technology, recognized for his specialization in coal and rock dynamic disaster prevention and control. With an academic foundation centered on advanced safety engineering and a research focus on hazardous dynamic phenomena in mining environments, he has developed strong expertise in the investigation of disaster mechanisms, monitoring technologies, early-warning strategies, and innovative control methods. His professional experience includes substantial involvement in major national scientific projects, where he has taken on core research roles involving theoretical modeling, experimental system development, large-scale data analysis, and interdisciplinary coordination. Through these efforts, he has demonstrated leadership, technical depth, and the ability to drive complex research tasks toward impactful outcomes. Dr. Yue has published multiple high-quality SCI papers as first or corresponding author in internationally renowned journals, with several works recognized among the most globally cited in the field, reflecting his rising academic influence and contribution to advancing coal mine safety science. His research achievements have earned significant academic recognition, further supported by his participation in professional research communities and contributions to collaborative scientific endeavors. Known for integrating theoretical insight with practical application, he consistently delivers research that supports safer mining operations and enhances scientific understanding of dynamic disasters. His growing portfolio of accomplishments, strong methodological capabilities, and commitment to scientific innovation position him as a promising researcher with substantial potential for future leadership and continued contribution to the safety engineering discipline.

Profiles:  Scopus

Featured Publications

1. [Authors not provided]. (2026). Failure mechanisms of fault fracture zone under dynamic loading. Engineering Failure Analysis.

Sayyid Ali Banihashemi | Engineering | Editorial Board Member

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Assist. Prof. Dr. Sayyid Ali Banihashemi | Engineering | Editorial Board Member

Faculty Member | Payame Noor University | Iran

Assist. Prof. Dr. Sayyid Ali Banihashemi, Associate Professor in the Department of Industrial Engineering at Payame Noor University, is a recognized scholar specializing in project scheduling, data envelopment analysis, supply chain management, and organizational agility. He holds advanced degrees in industrial engineering with a concentration in operations research and performance evaluation, complemented by rigorous training in quantitative decision-making. His professional experience includes leading academic programs, supervising research initiatives, and contributing to major analytical and optimization projects that support organizational and operational improvement. Dr. Banihashemi’s research portfolio encompasses influential publications, high-impact citations, and methodological advancements that have shaped contemporary practices in project planning efficiency, productivity assessment, and supply chain performance. His scholarly contributions are further reflected in editorial responsibilities for reputable journals, memberships in distinguished professional societies, and certifications in advanced analytical methods. Widely cited and respected in his field, he has earned multiple recognitions for research excellence, academic service, and contributions to the industrial engineering community, establishing him as a dedicated leader committed to advancing theory and practice in operations and performance management.

Profiles: Google Scholar

Featured Publications

1. Dahmardeh, N., & Banihashemi, S. A. (2010). Organizational agility and agile manufacturing. European Journal of Economics, Finance and Administrative Sciences, 27, 178–184.

2. Banihashemi, S. A. (2011). The role of communication to improve organizational process. European Journal of Humanities and Social Sciences, 1(1), 13–24.

3. Banihashemi, S. A., Khalilzadeh, M., Shahraki, A., Malkhalifeh, M. R. M., & others. (2020). Optimization of environmental impacts of construction projects: A time–cost–quality trade-off approach. International Journal of Environmental Science and Technology, 1–16.

4. Banihashemi, S. A., & Khalilzadeh, M. (2021). Time-cost-quality–environmental impact trade-off resource-constrained project scheduling problem with DEA approach. Engineering, Construction and Architectural Management, 28(7), 1979–2004.

5. Banihashemi, S. A., Khalilzadeh, M., Antucheviciene, J., & Edalatpanah, S. A. (2023). Identifying and prioritizing the challenges and obstacles of green supply chain management in the construction industry using the fuzzy BWM method. Buildings, 13(1), 38.

Dr. Sayyid Ali Banihashemi’s work advances scientific and industrial practice by integrating optimization, sustainability, and performance evaluation to improve project delivery and supply chain systems. His research supports data-driven decision-making that enhances organizational efficiency, reduces environmental impacts, and strengthens the resilience and agility of modern industries.

Dongfeng Qi | Engineering | Best Researcher Award

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Prof. Dongfeng Qi | Engineering | Best Researcher Award

Professor | Shandong University of Technology | China

Prof. Dongfeng Qi is a leading researcher in laser manufacturing and material processing, specializing in femtosecond and nanosecond laser applications for advanced materials and flexible electronics. His work integrates theoretical modeling with experimental techniques to develop innovative micro- and nanostructures, including copper and silicon-based materials, phase-change films, and smart electronic devices. Prof. Qi has made substantial contributions to understanding laser-material interactions and patterning technologies, with high-impact publications in top-tier journals. He demonstrates strong interdisciplinary collaboration and mentorship, fostering international research partnerships and the growth of emerging scientists. His research is recognized for both fundamental insights and practical applications in photonics, energy storage, and flexible electronics. Prof. Qi’s consistent innovation, high-quality experimental work, and leadership in the field establish him as a leading figure in laser-based materials science. According to Scopus, he has 535 citations, 71 documents, and an h-index of 13.

Profiles: Scopus | Google Scholar

Featured Publications

1. Programming nanoparticles in multiscale: optically modulated assembly and phase switching of silicon nanoparticle array; L. Wang, Y. Rho, W. Shou, S. Hong, K. Kato, M. Eliceiri, M. Shi, …; ACS Nano, vol. 12, no. 3, pp. 2231–2241, 2018; 39 citations

2. Time-resolved analysis of thickness-dependent dewetting and ablation of silver films upon nanosecond laser irradiation; D. Qi, D. Paeng, J. Yeo, E. Kim, L. Wang, S. Chen, C. P. Grigoropoulos; Applied Physics Letters, vol. 108, no. 21, 2016; 37 citations

3. Femtosecond laser-induced large area of periodic structures on chalcogenide glass via twice laser direct-writing scanning process; X. Yu, Q. Zhang, D. Qi, S. Tang, S. Dai, P. Zhang, Y. Xu, X. Shen; Optics & Laser Technology, vol. 124, 105977, 2020; 34 citations

4. Progress in the design, nanofabrication, and performance of metalenses; Z. Wang, Y. Wu, D. Qi, W. Yu, H. Zheng; Journal of Optics, vol. 24, no. 3, 033001, 2022; 31 citations

5. Progress in preparation and applications of Te-As-Se chalcogenide glasses and fibers; Z. Wu, Y. Xu, D. Qi, Q. Nie, X. Zhang; Infrared Physics & Technology, vol. 102, 102981, 2019; 31 citations

Ivett Greta Zsak | Engineering | Best Researcher Award

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Ms. Ivett Greta Zsak | Engineering | Best Researcher Award

Ivett Greta Zsak | Technical University of Cluj-Napoca | Romania

Ms. Ivett-Gréta Zsák is an accomplished architect, lecturer, and PhD candidate with a strong focus on sustainable architecture, heritage preservation, and adaptive design. She has developed innovative frameworks, notably the Building Identity Passport for prefabricated housing rehabilitation, reflecting a unique integration of health, community engagement, and building performance. Her work demonstrates a balance between academic rigor and practical implementation, including coordinating heritage interventions and contributing to national architectural guidelines. She has actively participated in international conferences, showcasing thought leadership and fostering cross-cultural collaboration. Her technical proficiency in BIM, AutoCAD, and participatory design tools enhances her research’s practical impact, while her multilingual skills allow effective engagement in diverse academic environments. Recognized with multiple architecture awards, Ms. Zsák exemplifies a researcher whose work bridges theory and practice. Her research is measurable in Scopus, with 2 documents cited by 11 sources and an h-index of 2, demonstrating both productivity and scholarly influence.

Profile: Scopus | ORCID

Featured Publications

1. C. Savu, A.-H. Pescaru, I.-G. Zsak, A.-M. Durgheu, A.-P. Frent, N.-S. Suba, A. S. Buda, and S. Nistor, “Analysis on Using 3D Scanning and BIM to Reduce the Physical and Non-Physical Construction Waste for Sustainable Fireproofing of Steel Trusses,” Sustainability, Feb. 2024.

2. G. I. Zsak, “Ghiduri de arhitectură pentru încadrarea în specificul local din mediul rural,” The Order of Architects of Romania, Mar. 2020.

3. G. I. Zsak, “Regeneration of the industrial heritage in the central area of Oradea,” Materials Science and Engineering, vol. 603, Sep. 2019.

Prof. Vassilis Kostopoulos | Engineering | Best Researcher Award

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Prof. Vassilis Kostopoulos | Engineering | Best Researcher Award

Professor at University of Patras, Greece

Professor Vassilis Kostopoulos is a distinguished Greek academic in Mechanical Engineering, currently serving at the University of Patras. With a PhD in Applied Mechanics, he has built a prolific career specializing in composite materials, aerospace structures, non-destructive evaluation, and nano-engineering. He has published over 260 peer-reviewed journal papers, authored several books, and amassed more than 8,800 citations with an h-index of 48. As principal investigator in 85 international research projects funded by bodies like the EU, ESA, and NSF, he has made significant contributions to advanced materials and aerospace research. He has served on multiple European advisory bodies (ACARE, Clean Sky), editorial boards, and has supervised 34 PhD and 185 MSc theses. His work has earned international recognition through patents and awards, including the TRA VISIONS Senior Scientist Award. Widely respected for his innovation, mentorship, and research leadership, he exemplifies excellence in academic and applied engineering research.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile 

Education

Professor Vassilis Kostopoulos received his Diploma in Mechanical Engineering from the National Technical University of Athens in 1980. He later pursued a Ph.D. in Applied Mechanics at the University of Patras, completed in 1987, with a focus on wave propagation, scattering, and non-destructive testing of composite materials. His academic formation established a robust foundation in mechanics, materials science, and engineering physics. Over the years, he expanded his expertise through advanced training, collaborations, and international academic exposure. His educational background underpins his deep theoretical and applied understanding of composite materials and aerospace engineering. In addition to his own education, he has contributed extensively to the academic growth of students through comprehensive undergraduate and graduate-level teaching in subjects such as dynamics, elasticity, and thermomechanical behavior of advanced materials. His educational journey has continuously evolved in parallel with his research and teaching responsibilities, ensuring a solid, interdisciplinary academic foundation.

Professional Experience

Professor Kostopoulos holds a long-standing faculty position at the University of Patras, where he previously served as Director of the Applied Mechanics and Vibrations Laboratory. He has also held visiting positions at prestigious institutions, including JRC Petten in the Netherlands and, more recently, the University of Delaware and George Emil Palade University in Romania. Beyond academia, he has actively contributed to European aviation and aerospace research policy through roles with ACARE, Clean Sky, and Clean Aviation Joint Undertakings. He has been a national delegate and evaluator for several EU framework programs (FP6, FP7) and other international research agencies. His editorial and peer review responsibilities span over 60 international journals. These roles highlight his influence across both academic and policy-making spheres. As a mentor, advisor, evaluator, and leader in multi-institutional projects, Professor Kostopoulos has consistently demonstrated professional excellence and leadership, further reinforcing his global academic reputation in the field of mechanical and aerospace engineering.

Research Interest

Professor Kostopoulos’s research spans a wide array of cutting-edge engineering topics, primarily centered on composite materials and aerospace structures. His key interests include the design, optimization, and damage assessment of lightweight composite structures, with particular attention to fatigue, fracture, and high strain rate behavior. He is also deeply involved in non-destructive inspection and structural health monitoring, nano-augmentation of materials, anisotropic elasticity, and additive manufacturing. His work extends into space technologies, such as microsatellites, as well as UAVs and aeronautic applications. In recent years, he has ventured into biomechanics and bioengineering, focusing on implant design and fatigue in biomedical components. His interdisciplinary approach links advanced mechanics with real-world applications in aerospace, defense, and biomedical engineering. Notably, his integration of life cycle and cost analysis into material design reflects a forward-thinking approach. His comprehensive, problem-solving research focus continues to shape innovations in engineering science across multiple domains.

Award and Honor

Professor Kostopoulos has received numerous prestigious awards recognizing his innovation, mentorship, and scientific impact. Notably, he was honored with the 1st Senior Scientist Award at the TRA VISIONS 2020 Researcher Competition, a major European recognition in transport and aerospace research. In 2024, under his supervision, the UPOGEE student team won the Special Award in the ESA Student Aerospace Challenge. Other honors include the Communication Award and Innovation Award at ESA educational events and UK competitions, as well as high placements in international contests such as iGEM and the CubeSat Mission Contest in China. His influence in mentoring award-winning student teams underscores his commitment to academic development. Additionally, he holds 3 European, 1 U.S., and 7 national patents, further highlighting his innovative contributions. These accolades reflect his leadership in research, education, and industry collaboration, establishing him as a prominent figure in European and global engineering research communities.

Conclusion

In conclusion, Professor Vassilis Kostopoulos is an exemplary academic and researcher whose career embodies excellence in education, professional service, and scientific innovation. With over four decades of impactful research in composite materials and aerospace engineering, he has significantly advanced both the theoretical and applied aspects of the field. His extensive publication record, international collaborations, high-level policy engagement, and commitment to student mentorship make him a model of academic leadership. His work not only contributes to cutting-edge technologies in space, defense, and aviation but also addresses sustainability, cost-effectiveness, and health applications. Recognized globally through awards, patents, and editorial roles, he maintains a dynamic presence in the research community. As a result, he is not only a deserving candidate for high-level research awards but also a vital contributor to the future of engineering science. His legacy continues to inspire innovation, education, and international collaboration in multiple scientific domains.

Publications Top Notes

  • Title: Overview and future challenges of nearly zero energy buildings (nZEB) design in Southern Europe
    Authors: S. Attia, P. Eleftheriou, F. Xeni, R. Morlot, C. Ménézo, V. Kostopoulos, M. Betsi, …
    Year: 2017
    Citations: 378

  • Title: Impact and after-impact properties of carbon fibre reinforced composites enhanced with multi-wall carbon nanotubes
    Authors: V. Kostopoulos, A. Baltopoulos, P. Karapappas, A. Vavouliotis, A. Paipetis
    Year: 2010
    Citations: 361

  • Title: The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery
    Authors: T.H. Loutas, D. Roulias, E. Pauly, V. Kostopoulos
    Year: 2011
    Citations: 283

  • Title: Enhanced fracture properties of carbon reinforced composites by the addition of multi-wall carbon nanotubes
    Authors: P. Karapappas, A. Vavouliotis, P. Tsotra, V. Kostopoulos, A. Paipetis
    Year: 2009
    Citations: 271

  • Title: Condition monitoring of a single-stage gearbox with artificially induced gear cracks utilizing on-line vibration and acoustic emission measurements
    Authors: T.H. Loutas, G. Sotiriades, I. Kalaitzoglou, V. Kostopoulos
    Year: 2009
    Citations: 230

  • Title: Bearing fault detection based on hybrid ensemble detector and empirical mode decomposition
    Authors: G. Georgoulas, T. Loutas, C.D. Stylios, V. Kostopoulos
    Year: 2013
    Citations: 187

  • Title: On the identification of the failure mechanisms in oxide/oxide composites using acoustic emission
    Authors: V. Kostopoulos, T.H. Loutas, A. Kontsos, G. Sotiriadis, Y.Z. Pappas
    Year: 2003
    Citations: 161

  • Title: On the fatigue life prediction of CFRP laminates using the electrical resistance change method
    Authors: A. Vavouliotis, A. Paipetis, V. Kostopoulos
    Year: 2011
    Citations: 157

  • Title: Finite element analysis of impact damage response of composite motorcycle safety helmets
    Authors: V. Kostopoulos, Y.P. Markopoulos, G. Giannopoulos, D.E. Vlachos
    Year: 2002
    Citations: 151

  • Title: Health monitoring of carbon/carbon, woven reinforced composites. Damage assessment by using advanced signal processing techniques. Part I: Acoustic emission monitoring
    Authors: T.H. Loutas, V. Kostopoulos
    Year: 2009
    Citations: 142

  • Title: Health monitoring of carbon/carbon, woven reinforced composites: Damage assessment by using advanced signal processing techniques. Part II: Acousto-ultrasonics monitoring
    Authors: T.H. Loutas, V. Kostopoulos
    Year: 2009
    Citations: 142

  • Title: Dynamic fiber Bragg gratings based health monitoring system of composite aerospace structures
    Authors: A. Panopoulou, T. Loutas, D. Roulias, S. Fransen, V. Kostopoulos
    Year: 2011
    Citations: 140

  • Title: Damage evolution in center-holed glass/polyester composites under quasi-static loading using time/frequency analysis of acoustic emission monitored waveforms
    Authors: T.H. Loutas, V. Kostopoulos, C. Ramirez-Jimenez, M. Pharaoh
    Year: 2006
    Citations: 140

  • Title: Intelligent health monitoring of aerospace composite structures based on dynamic strain measurements
    Authors: T.H. Loutas, A. Panopoulou, D. Roulias, V. Kostopoulos
    Year: 2012
    Citations: 135

  • Title: On the interlaminar fracture toughness of carbon fiber composites enhanced with graphene nano-species
    Authors: C. Kostagiannakopoulou, T.H. Loutas, G. Sotiriadis, A. Markou, …
    Year: 2015
    Citations: 125

Xingjia Li | Engineering | Best Researcher Award

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Dr. Xingjia Li | Engineering | Best Researcher Award

Senior Engineer at Shanghai Liangxin Electrical Co. Ltd, China

Dr. Xingjia Li is a promising early-career researcher who earned his Ph.D. in Mechanical Engineering from Jiangsu University in 2023. He is currently a Postdoctoral Associate at the postdoctoral workstation of Shanghai Liangxin Electrical Co., Ltd. in Shanghai, China. His research focuses on robotics and electrical systems, with a particular emphasis on sensor data processing using machine learning techniques. Dr. Li is dedicated to advancing human-centered applications by enhancing the reliability, intelligence, and security of robotic systems in daily life. His interdisciplinary approach integrates mechanical engineering, electronics, and artificial intelligence, aligning with the evolving demands of modern technology. While still in the early stages of his research career, his industry collaboration and applied research focus position him as a strong candidate for future leadership in his field. Dr. Li’s work holds potential for significant contributions to smart systems and intelligent automation in real-world environments.

Professional Profile 

ORCID Profile

Education

Dr. Xingjia Li obtained his Ph.D. in Mechanical Engineering from Jiangsu University, Zhenjiang, China, in 2023. During his doctoral studies, he focused on the integration of robotics and intelligent systems, building a strong foundation in both theoretical and applied aspects of mechanical and electrical engineering. His education emphasized sensor systems, automation, and machine learning, which prepared him for interdisciplinary research and practical implementation in advanced robotics. Dr. Li demonstrated strong academic performance and research capabilities throughout his graduate studies, contributing to academic discussions and research forums. His educational background reflects a rigorous training in engineering principles, analytical thinking, and innovation, which has shaped his approach to problem-solving in complex systems. Through research projects, seminars, and collaboration with faculty, he developed a deep understanding of how mechanical systems can be enhanced through intelligent control and data-driven methods, laying the groundwork for his postdoctoral research and future contributions to intelligent automation.

Professional Experience

Following his Ph.D., Dr. Xingjia Li joined the postdoctoral workstation at Shanghai Liangxin Electrical Co., Ltd., a key player in the electrical technology industry. In this role, he has been actively involved in research and development, focusing on advanced robotics and intelligent systems. His work emphasizes real-world implementation of sensor-based machine learning techniques to enhance system performance, reliability, and human-machine interaction. At Liangxin, Dr. Li collaborates with both engineering teams and academic partners to design and improve intelligent robotic systems that can operate efficiently in complex environments. His professional experience bridges academia and industry, allowing him to apply theoretical models to practical challenges in automation and electrical systems. This hands-on engagement with cutting-edge technologies has not only expanded his technical skill set but also positioned him as a valuable contributor in the emerging fields of smart manufacturing and AI-powered industrial automation, where reliability and adaptive performance are critical.

Research Interest

Dr. Xingjia Li’s research interests lie at the intersection of robotics, electrical systems, and machine learning, with a strong focus on sensor data processing for human-centered applications. He is passionate about enhancing the intelligence, reliability, and safety of robotic systems operating in dynamic environments. His work aims to empower robots with the ability to interpret complex sensory inputs through machine learning algorithms, thereby enabling real-time decision-making and adaptive behavior. He is particularly interested in applications that improve quality of life, such as assistive robotics, industrial automation, and intelligent monitoring systems. By integrating advanced data analytics and control strategies, Dr. Li seeks to develop systems that can function autonomously with minimal human intervention while maintaining high levels of trust and safety. His interdisciplinary approach combines the strengths of mechanical design, signal processing, and artificial intelligence, positioning him to contribute meaningfully to the advancement of next-generation robotics and smart systems.

Award and Honor

As a rising researcher in the field of intelligent robotics, Dr. Xingjia Li is at the beginning of his professional recognition journey. While specific awards and honors have not been listed in the available information, his acceptance into a postdoctoral research position at Shanghai Liangxin Electrical Co., Ltd. itself signifies recognition of his academic potential and technical proficiency. The opportunity to work in a dedicated industrial research environment reflects a high level of trust in his expertise and capability to contribute to meaningful innovation. His early involvement in cutting-edge projects and interdisciplinary work also positions him as a strong candidate for future academic and industrial awards. As he continues to publish research, develop prototypes, and contribute to real-world solutions, it is expected that Dr. Li will accumulate professional honors that recognize his growing impact in the fields of robotics, electrical systems, and intelligent automation technologies.

Conclusion

Dr. Xingjia Li is an emerging researcher whose interdisciplinary expertise bridges mechanical engineering, robotics, and artificial intelligence. With a strong educational foundation from Jiangsu University and practical postdoctoral experience at Shanghai Liangxin Electrical Co., Ltd., he is well-positioned to make significant contributions to the field of intelligent systems. His research aims to improve human-robot interaction and automation reliability through advanced sensor data processing and machine learning techniques. Though still in the early stages of his career, Dr. Li’s work shows great promise for practical impact in industry and society. His commitment to innovation, real-world application, and cross-disciplinary collaboration sets the stage for a distinguished research trajectory. With continued focus, publication, and recognition, Dr. Li has the potential to emerge as a thought leader in the development of smart, adaptive, and secure robotic systems that support both industrial and human-centered needs.

Publications Top Notes