Prof. Dr. Władysław Papacz | Engineering | Research Excellence Award
University of Zielona Góra | Poland
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Mr. Shunming Li is a senior researcher at Nantong University, China, specializing in intelligent fault diagnosis, vibration signal processing, rolling bearing health monitoring, and data-driven prognostics. He has published 323 peer-reviewed articles, 4,570 citations with an h-index of 34, demonstrating sustained scholarly impact. His research integrates deep learning, transfer learning, digital twins, and advanced signal denoising methods to address complex machinery health monitoring challenges under multi-operating and data-limited conditions. Dr. Li has developed interpretable and domain-adaptive diagnostic models that enhance fault detection accuracy and remaining useful life prediction. He maintains extensive national and international collaborations, having worked with over 250 co-authors across engineering disciplines. His contributions support safer, more reliable industrial systems and promote predictive maintenance strategies, delivering significant societal and economic benefits for smart manufacturing and infrastructure health management.
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Dr. Esmael Adem Esleman is a researcher at Adama Science and Technology University, Adama, Ethiopia, with expertise in computational science, artificial intelligence, and applied mathematics. His research focuses on the development of AI-driven optimization and search algorithms inspired by physical and thermodynamic principles, with particular emphasis on solving complex ordinary differential equations. He has authored eight peer-reviewed publications, receiving over forty citations, and has established an emerging research profile reflected in his growing academic impact. Dr. Esleman actively collaborates with national and international researchers in interdisciplinary areas bridging mathematics, computer science, and engineering. His work contributes to improved numerical modeling, efficient computational methods, and intelligent problem-solving frameworks with potential applications in science, engineering, and data-driven decision systems, supporting technological advancement and innovation-oriented research.
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Dr. Chengbiao Tong is a researcher at Hunan Agricultural University specializing in intelligent aquaculture, computer vision, and deep-learning-based environmental monitoring. He has contributed a growing body of scientific work, with publications advancing automated recognition systems, image-based analysis, and smart farming technologies. His research has accumulated meaningful citations and demonstrates increasing visibility within the agricultural technology community. Dr. Tong actively collaborates with multidisciplinary teams and co-authors, supporting innovation at the intersection of artificial intelligence and modern aquaculture. His work on YOLO-based detection models, including applications for fish health monitoring, contributes to improving sustainability, efficiency, and early-warning capabilities in aquatic farming systems. Through his research, he promotes data-driven decision-making and enhances the technological transformation of agriculture.
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Mr. Izhar Ahmed is a geoscientist at the University of Chinese Academy of Sciences, Beijing, China, specializing in geomechanics, fault zone characterization, and tectonic processes. His research focuses on understanding the mechanical behavior of fault damage zones, particularly in the active Himalayas of Northern Pakistan, providing critical insights into rock strength, seismic hazards, and earthquake risk mitigation. To date, he has authored six peer-reviewed publications, which have garnered 36 citations, reflecting the significance of his contributions in Earth sciences. Dr. Ahmed has collaborated with 19 international researchers, fostering interdisciplinary studies that integrate field investigations, laboratory analyses, and computational modeling. His work has practical implications for infrastructure safety, natural hazard assessment, and geotechnical engineering in seismically active regions. Through rigorous research and global collaborations, Dr. Ahmed continues to advance knowledge in geomechanics and tectonics, demonstrating both scientific excellence and societal relevance in addressing complex geological challenges.
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Associate Researcher | Aerospace Technology Institute of CARDC | China
Dr. Yong Xu is a researcher specializing in intelligent sensing, autonomous systems, and advanced signal processing, with a particular focus on drone vision systems and radar-based environmental perception. His research integrates computer vision, machine learning, and adaptive signal normalization techniques to enhance the reliability, efficiency, and resilience of autonomous aerial and maritime systems in complex real-world environments. Dr. Xu has authored several high-impact publications, including An Air-to-Ground Visual Target Persistent Tracking Framework for Swarm Drones (Automation) and Adaptive Clustering-Based Marine Radar Sea Clutter Normalization (Journal of Sensors), showcasing his expertise in persistent target tracking, swarm coordination, and environmental noise reduction. These works demonstrate his ability to bridge theoretical innovation with practical engineering solutions, improving both sensor performance and system-level autonomy. Throughout his career, Dr. Xu has collaborated extensively with interdisciplinary teams, including researchers such as Shuai Guo, Hongtao Yan, An Wang, Tao Jia, Dong Cao, Pengyu Guo, Yue Ma, Tian Yao, and Jaime Lloret, highlighting his strong engagement in international and cross-institutional research. His contributions support real-world applications in autonomous drone navigation, maritime surveillance, environmental monitoring, and defense technologies, promoting safer and more efficient operational systems. By advancing methodologies for persistent tracking and adaptive radar signal processing, Dr. Xu’s research contributes significantly to the fields of robotics, unmanned systems, and intelligent sensing, offering societal benefits in areas such as public safety, disaster monitoring, and infrastructure protection, while reinforcing the development of next-generation autonomous technologies on a global scale.
Profile: ORCID
1. Xu, Y., Guo, S., Yan, H., Wang, A., Ma, Y., Yao, T., & Song, H. (2025). An Air‑to‑Ground Visual Target Persistent Tracking Framework for Swarm Drones. Automation, 6(4), 81. https://doi.org/10.3390/automation6040081 MDPI
2. Xu, Y., Jia, T., Cao, D., Guo, P., Ma, Y., & Yan, H. (2021). Adaptive Clustering‑Based Marine Radar Sea Clutter Normalization. Journal of Sensors, 2021, Article 2938251 (11 pages). https://doi.org/10.1155/2021/2938251
Lecturer | İzmir Katip Çelebi University | Turkey
Dr. Sümeyye Sınır is a researcher at İzmir Kâtip Çelebi University in Izmir, Turkey, specializing in applied mechanics, nonlinear systems, and fractional calculus, with a focus on developing innovative mathematical and computational methods for analyzing complex dynamical behaviors. She has authored 3 peer-reviewed publications, which have collectively received 63 citations, and holds an h-index of 2, reflecting her emerging influence in the field of applied mechanics and nonlinear dynamics. Among her notable contributions is the development of a general solution procedure for nonlinear single-degree-of-freedom systems incorporating fractional derivatives, providing critical insights for engineering applications, physics modeling, and mechanical system simulations. Dr. Sınır actively collaborates with colleagues across mathematics, engineering, and computational mechanics, demonstrating a commitment to interdisciplinary research and advancing methodologies that bridge theoretical developments with practical applications. Her work enhances the understanding and prediction of complex nonlinear behaviors, supporting innovations in structural engineering, robotics, energy systems, and other technologically relevant domains. Through her research, she contributes to improved simulation accuracy, efficient system design, and the development of tools that address real-world engineering challenges, translating theoretical insights into tangible societal benefits. Committed to scientific rigor, innovation, and collaboration, Dr. Sınır continues to expand her research portfolio, strengthen academic partnerships, and advance methodologies in nonlinear mechanics, promoting both the theoretical foundation and applied solutions in engineering and physics, while fostering technological progress and contributing to the broader scientific community through impactful research and interdisciplinary engagement.
Profiles: Google Scholar | Scopus | ResearchGate
1. Sınır, S., Çevik, M., & Sınır, B. G. (2018). Nonlinear free and forced vibration analyses of axially functionally graded Euler-Bernoulli beams with non-uniform cross-section. Composites Part B: Engineering, 148, 123–131. (Cited by 76)
2. Sınır, S., Yıldız, B., & Sınır, B. G. (2021). Approximate solutions of nonlinear pendulum with fractional damping. In 5th International Students Science Congress Proceedings Book (p. 295). (Cited by 3)
3. Sınır, S., & Çevik, M. (2013). Taylor matrix solution of Euler-Bernoulli beam equation subjected to static loads. In Proceedings of the Fourth International Conference on Mathematical and …. (Cited by 3)
4. Sınır, S., Yıldız, B., & Sınır, B. G. (2025). A general solution procedure for nonlinear single degree of freedom systems including fractional derivatives. International Journal of Non-Linear Mechanics, 169, 104966. (Cited by 2)
5. Küzün, D., Yıldız, B., & Sınır, S. (2023). Euler-Bernoulli beam with fractional viscoelastic boundary conditions. 18. UBAK Kongresi. (Cited by 1)
Professor at Wuhan University, China
Prof. Guozhen Liang is a distinguished expert in optics, photonics, and laser technologies, currently serving as a professor at the School of Electronic Information, Wuhan University. He earned his Ph.D. in Electrical and Electronic Engineering from Nanyang Technological University, Singapore, in 2015, following a B.S. in Physics from the University of Science and Technology of China. His research spans quantum cascade lasers, mid-infrared photonics, integrated modulators, and LiDAR systems. With over 2,100 citations and an h-index of 17, his work has been featured in top-tier journals such as Nature Photonics and Materials Today. He has held research positions at Columbia University and KLA-Tencor, contributing to global innovations in laser systems. Prof. Liang also holds multiple U.S. patents, reflecting his strength in both academic and applied research. His career demonstrates a commitment to advancing photonic technologies with strong potential for leadership in international research and interdisciplinary collaboration.
Professional Profile
Prof. Guozhen Liang has a strong academic background rooted in two of the world’s leading institutions. He earned his Bachelor of Science degree in Physics from the University of Science and Technology of China (USTC) in 2010, a university renowned for its rigorous scientific training and research excellence. Driven by a passion for photonics and laser technologies, he pursued his doctoral studies at Nanyang Technological University (NTU), Singapore, where he obtained his Ph.D. in Electrical and Electronic Engineering in 2015. During his Ph.D., he focused on the development of terahertz quantum cascade lasers and advanced photonic systems, laying the groundwork for his future research career. His educational journey combined strong theoretical foundations with hands-on experimental research, enabling him to transition seamlessly into high-impact roles in academia and industry. This solid and internationally recognized educational background continues to support his research contributions and leadership in the fields of optics and optoelectronics.
Prof. Guozhen Liang has amassed a diverse and impactful professional experience across top-tier academic institutions and industry leaders in photonics. He is currently a Professor at the School of Electronic Information, Wuhan University (since May 2024), where he leads research in optics and laser technologies. Prior to this, he served as a Laser Research Scientist in the CTO group at KLA-Tencor Singapore (2019–2024), focusing on the development of high-power, highly stable DUV–VUV solid-state lasers for industrial applications. From 2017 to 2019, he was a Postdoctoral Research Scientist at Columbia University, working on silicon photonics and LiDAR technologies. His early postdoctoral and project officer roles at Nanyang Technological University (2014–2017) involved pioneering work on mid-infrared and terahertz quantum cascade lasers. His blend of academic and industrial experience positions him as a well-rounded researcher with deep technical expertise and a strong record of innovation in optoelectronic systems.
Prof. Guozhen Liang’s research interests lie at the forefront of optics, photonics, and laser technologies, with a particular focus on quantum cascade lasers, integrated photonic devices, and mid-infrared and terahertz optoelectronics. He is passionate about developing advanced laser systems, including DUV–VUV solid-state lasers, for high-precision industrial and scientific applications. His work also explores graphene-based modulators, nano-photonic structures, and LiDAR systems, aiming to miniaturize and enhance the performance of optical devices for next-generation communication and sensing technologies. Prof. Liang is deeply interested in bridging fundamental research with practical applications, contributing to innovations in both academic and commercial settings. His interdisciplinary research combines materials science, nanotechnology, and electronic engineering to tackle challenges in photonics integration, light–matter interaction, and waveguide design. With a global outlook and experience in collaborative international research, his ongoing efforts aim to shape the future of ultrafast optics, photonic chips, and compact laser systems.
Prof. Guozhen Liang has received notable recognition for his impactful research in the fields of optics and photonics, with his work being featured in prestigious journals such as Nature Photonics, Materials Today, and ACS Photonics. Several of his research articles have been highlighted in Nature Photonics and Laser Focus World, signifying their innovation and influence in the global scientific community. His contributions have also led to multiple U.S. patents, reflecting his excellence in applied research and technology transfer. He has been invited to present at major international conferences, including the Conference on Lasers and Electro-Optics (CLEO) and SPIE Photonics Asia, often selected for post-deadline or high-impact sessions. These invitations underscore his standing as a respected voice in the photonics field. While formal titles or specific awards were not listed, the consistent visibility and impact of his work across both academia and industry highlight his strong qualifications and growing recognition as a leader in photonic innovation.
Prof. Guozhen Liang is a highly deserving candidate for the Best Researcher Award due to his outstanding contributions to the fields of optics, photonics, and laser technology. With a strong foundation in both academia and industry, he has advanced research in quantum cascade lasers, integrated photonic devices, and next-generation laser systems, with work published in globally recognized journals such as Nature Photonics and Materials Today. His innovations hold significant potential for real-world applications in sensing, communication, and imaging technologies. As a newly appointed professor and experienced international collaborator, Prof. Liang is well-positioned to lead pioneering research initiatives and mentor the next generation of scientists, further amplifying his impact on science and society.
Title: 2D perovskite-based metasurfaces for enhanced plasmonic sensing
Authors: S. Zen, G. Liang, A. Gheno, S. Vedraine, N. Yu
Year: 2019
Citations: 3
Title: A metal–dielectric–graphene sandwich for surface enhanced Raman spectroscopy
Authors: X. Yu, J. Tao, Y. Shen, G. Liang, T. Liu, Y. Zhang, Q.J. Wang
Year: 2014
Citations: 27
Title: Amorphous random lasing at terahertz frequency
Authors: Y. Zeng, G. Liang, H. Liang, S. Mansha, B. Meng, T. Liu, X. Hu, J. Tao, L. Li, …
Year: 2016
Citations: 2
Title: Amplitude and phase light modulator based on miniature optical resonators
Authors: G. Liang, H. Huang, M. Lipson, N. Yu
Year: 2023
Citations: 3
Title: Broadband high photoresponse from pure monolayer graphene photodetector
Authors: B.Y. Zhang, T. Liu, B. Meng, X. Li, G. Liang, X. Hu, Q.J. Wang
Year: 2013
Citations: 1113
Title: Broadband saturable absorption of graphene oxide thin film and its application in pulsed fiber lasers
Authors: X. Li, Y. Tang, Z. Yan, Y. Wang, B. Meng, G. Liang, H. Sun, X. Yu, Y. Zhang, …
Year: 2014
Citations: 119
Title: Broadly continuously tunable slot waveguide quantum cascade lasers based on a continuum-to-continuum active region design
Authors: B. Meng, Y.Q. Zeng, G. Liang, J. Tao, X.N. Hu, E. Rodriguez, Q.J. Wang
Year: 2015
Citations: 7
Title: Coherent emission from integrated Talbot-cavity quantum cascade lasers
Authors: B. Meng, B. Qiang, E. Rodriguez, X.N. Hu, G. Liang, Q.J. Wang
Year: 2017
Citations: 36
Title: Designer multimode localized random lasing in amorphous lattices at terahertz frequencies
Authors: Y. Zeng, G. Liang, H.K. Liang, S. Mansha, B. Meng, T. Liu, X. Hu, J. Tao, L. Li, …
Year: 2016
Citations: 32
Title: Efficient pure phase optical modulator based on strongly over-coupled resonators
Authors: G. Liang, H. Huang, S. Shrestha, I. Datta, M. Lipson, N. Yu
Year: 2019
Citations: 5
Title: Electrically Pumped Mid‐Infrared Random Lasers
Authors: H.K. Liang, B. Meng, G. Liang, J. Tao, Y. Chong, Q.J. Wang, Y. Zhang
Year: 2013
Citations: 66