Alexey Beskopylny | Civil Engineering | Best Researcher Award

Published on by Popular Engineer

Prof. Dr. Alexey Beskopylny | Civil Engineering | Best Researcher Award

Don State Technical University | Russia

Dr. Alexey N. Beskopylny is a distinguished researcher and Vice Rector at Don State Technical University, serving as a Professor in the Department of Transport Systems. He holds a Doctor of Technical Sciences degree and has made significant contributions to civil and structural engineering, materials science, and transport systems. His studies span concrete technology, geopolymers, recycled construction materials, digital modeling, and structural optimization using AI and machine learning. Dr. Beskopylny’s works are frequently featured in high-impact journals such as Scientific Reports, Polymers, Buildings, and Applied Sciences. He has collaborated extensively on international projects focusing on sustainable materials and innovative construction technologies. Recognized for his academic excellence and leadership, he has received multiple institutional honors for advancing the field of transport infrastructure and sustainable construction. His continued efforts contribute to the modernization of engineering education and the promotion of environmentally responsible building practices worldwide.

Profile : Orcid

Featured Publications

Zubarev, K. P., Razveeva, I., Beskopylny, A. N., Stel’makh, S. A., Shcherban’, E. M., Mailyan, L. R., Shakhalieva, D. M., Chernil’nik, A., & Nikora, N. I. (2025). Predicting the strength of heavy concrete exposed to aggressive environmental influences by machine learning methods. Buildings, 15(21), Article 3998.

Özkılıç, Y. O., Kalkan, İ., Aksoylu, C., Madenci, E., Umiye, O. A., Althaqafi, E., Stel’makh, S. A., Shcherban’, E. M., & Beskopylny, A. N. (2025). Effect of stirrup spacing and recycled steel wires on the shear and energy dissipation of pultruded GFRP hybrid beams. Journal of Engineered Fibers and Fabrics, 20, Article 15589250251380680.

Ecemiş, A. S., Yildizel, S. A., Beskopylny, A. N., Stel’makh, S. A., Shcherban’, E. M., Aksoylu, C., Madenci, E., & Özkılıç, Y. O. (2025). Sustainable concrete with waste tire rubber and recycled steel fibers: Experimental insights and hybrid PINN–CatBoost prediction. Polymers, 17(21), Article 2910.

Özkılıç, Y. O., Başaran, B., Aksoylu, C., Karalar, M., Zeybek, Ö., Althaqafi, E., Beskopylny, A. N., Stel’makh, S. A., Shcherban’, E. M., & Umiye, O. A. (2025). Bending performance of reinforced concrete beams with partial waste glass aggregate replacement assessed by experimental, theoretical and digital image correlation analyses. Scientific Reports, 15, Article 20716.

Stel’makh, S. A., Shcherban’, E. M., Beskopylny, A. N., Mailyan, L. R., Shilov, A. A., Razveeva, I., Oganesyan, S., Pogrebnyak, A., Chernil’nik, A., & Elshaeva, D. (2025). Enhancing the mechanical properties of sulfur-modified fly ash/metakaolin geopolymers with polypropylene fibers. Polymers, 17(15), Article 2119.

Ahmed Fouly | Mechanical Engineering | Best Academic Researcher Award

Published on by Popular Engineer

Assoc. Prof. Dr. Ahmed Fouly | Mechanical Engineering | Best Academic Researcher Award

College of Engineering, King Saud University | Saudi Arabia

Dr. Ahmed Fouly is an accomplished engineer and researcher with a robust interdisciplinary profile: he holds a PhD in Mechatronics and Robotics (2017) from the Egypt–Japan University of Science and Technology, and earlier earned an MSc and BSc in Production Engineering & Mechanical Design from Minia University. Over the years he has progressed through academic ranks to become Associate Professor at King Saud University and concurrently in Minia University. He has published over 90 peer-reviewed articles . 873 citations and a current h-index of 18 as per Google Scholar . His research spans materials science tribology and wear, mechatronics and MEMS, AI modeling, and contact modeling using FEA. His academic experience includes service as course instructor in mechatronics, robotics, control, sensors, mechanical design, and finite element analysis, and supervising numerous projects in biomedical composites and robotics. He has secured competitive research grants (e.g. from King Salman Center, oriented research programs) and won multiple awards including “scientific publication awards” over successive years, best conference paper awards, and institutional recognition for robotics design. In sum, Dr. Fouly is a dynamic scholar fusing engineering, materials, and intelligent systems, with strong publication impact and leadership in emerging interdisciplinary fields.

Profiles : Google Scholar | Scopus | Orcid

Featured Publications

Fouly, A., Ibrahim, A. M. M., Sherif, E. S. M., FathEl-Bab, A. M. R., & Badran, A. H. (2021). Effect of low hydroxyapatite loading fraction on the mechanical and tribological characteristics of poly (methyl methacrylate) nanocomposites for dentures. Polymers, 13(6), 857.

Ahmadian, H., Fouly, A., Zhou, T., Kumar, A. S., Fathy, A., & Weijia, G. (2024). Investigating the valence balance of adding Nano SiC and MWCNTs on the improvement properties of copper composite using mechanical alloying and SPS techniques. Diamond and Related Materials, 145, 111113.

Fouly, A., & Alkalla, M. G. (2020). Effect of low nanosized alumina loading fraction on the physicomechanical and tribological behavior of epoxy. Tribology International, 152, 106550.

Fouly, A., Assaifan, A. K., Alnaser, I. A., Hussein, O. A., & Abdo, H. S. (2022). Evaluating the mechanical and tribological properties of 3D printed polylactic-acid (PLA) green-composite for artificial implant: Hip joint case study. Polymers, 14(23), 5299.

Fouly, A., Abdo, H. S., Seikh, A. H., Alluhydan, K., Alkhammash, H. I., Alnaser, I. A., … (2022). Evaluation of mechanical and tribological properties of corn cob-reinforced epoxy-based composites—theoretical and experimental study.

Suk-Ju Kang | Computer Science and Artificial Intelligence | Best Researcher Award 

Published on by Popular Engineer

Prof. Suk-Ju Kang | Computer Science and Artificial Intelligence | Best Researcher Award 

Sogang University | South Korea

Prof. Suk-Ju Kang is a distinguished Professor in the Department of Electronic Engineering at Sogang University, Seoul, Korea, specializing in visual computing, computer vision, and artificial intelligence. His research spans image synthesis and restoration, real-time 2D/3D human and hand pose estimation, and industrial AI applications such as anomaly detection and remaining useful life prediction. Prior to joining Sogang University in 2015, he served as Assistant Professor at Dong-A University and worked as a Senior Research Engineer at LG Display, contributing to advanced display technologies. He earned his Ph.D. in Electrical Engineering from POSTECH under the supervision of Dr. Young Hwan Kim, and his B.S. in Electronic Engineering from Sogang University. Prof. Kang has authored over 209 peer-reviewed publications, which have collectively garnered over 2,143 citations with an h-index of 25, reflecting his global research impact. He has been recognized with numerous honors, including the 2025 Haedong Best Paper Award, multiple Samsung Best Paper Awards (2023, 2024), the 2022 Merck Young Scientist Award, and the 2020 Young Researcher Award from The Korean Institute of Broadcast and Media Engineers. He also plays an active leadership role in academia, serving as Chairman of the AI and Computational Technology Society for Display, Chairman of the Image Processing Research Society, and Organizing Committee Chair for major international conferences such as ITC-CSCC and AISPC.

Profiles: Scopus | Google Scholar

Featured Publications

“Luminance Compensation for Stretchable Displays Using Deep Visual Feature-Optimized Gaussian-Weighted Kernels.” Journal of the Society for Information Display, 2025.

“DGTFNet: Depth-Guided Tri-Axial Fusion Network for Efficient Generalizable Stereo Matching.” IEEE Robotics and Automation Letters, 2025.

“CRAN: Compressed Residual Attention Network for Lightweight Single Image Super-Resolution.” IEEE Signal Processing Letters, 2025.

“Supervised Denoising for Extreme Low-Light Raw Videos.” IEEE Transactions on Circuits and Systems for Video Technology, 2025.

“Query-Vector-Focused Recurrent Attention for Remaining Useful Life Prediction.” IEEE Transactions on Reliability, 2025.