Jiayin Tang | Automotive Artificial Intelligence | Excellence in Research Award

Dr. Jiayin Tang | Automotive Artificial Intelligence  |  Excellence in Research Award

Associate professor  |  Southwest Jiaotong university  |  China

Prof. Jiayin Tang is a distinguished academic and researcher whose work bridges the fields of manufacturing, reliability engineering, and intelligent systems, with a strong focus on mechanical, electrical, and automation technologies. His scholarly pursuits emphasize reliability assessment, degradation modeling, fault diagnosis, and intelligent prediction within industrial systems, contributing to both theoretical innovation and practical applications in smart manufacturing and system health management. His research encompasses areas such as accelerated life testing, reliability inference under multiple stress factors, and fault detection using deep learning and advanced signal processing. Prof. Tang’s notable publications in leading international journals including IEEE Transactions on Instrumentation and Measurement, Quality and Reliability Engineering International, PLOS ONE, and IEEE Sensors Journal demonstrate his mastery of reliability modeling and intelligent diagnostic algorithms. He has developed advanced methodologies such as Wiener process-based models, complex attention transformers, and graph attention networks to enhance predictive maintenance and system dependability in modern industrial environments. With expertise in automation, transportation systems, and electronic reliability, he continues to contribute significantly to the advancement of smart industrial solutions and sustainable engineering practices. Prof. Tang’s research skills include data-driven modeling, machine learning, statistical analysis, and sensor-based fault detection, reflecting his interdisciplinary strength and innovative vision. His dedication to academic excellence and impactful research has earned him recognition within the international reliability and automation research communities. He has acheived 250 Citations, 39 Documents, 8 h-index.

Profiles:  ORCID Scopus

Featured Publication

  1. Gan, W., & Tang, J. (2024). Multi-Performance Degradation System Reliability Analysis with Varying Failure Threshold Based on Copulas. Symmetry, 16(1), 57.

 

Eshetu Gorfie | Hybrid Vehicles | Best Researcher Award

Assoc. Prof. Dr. Eshetu Gorfie | Hybrid Vehicles | Best Researcher Award

Researcher | Bahir Dar University | Ethiopia

Dr. Eshetu Haile is a distinguished mathematician and academician who has made remarkable contributions to mathematical sciences through his extensive teaching, research, and leadership experience. With over two decades of service at Bahir Dar University, Ethiopia, he has been instrumental in shaping the academic and research culture within the Department of Mathematics. His professional career reflects excellence in teaching both undergraduate and postgraduate students, supervising more than 30 MSc and 8 PhD candidates, and providing strong mentorship to emerging researchers. Dr. Haile’s research interests encompass fluid dynamics, differential equations, complex analysis, special functions, and fractional calculus, areas in which he has published more than 37 peer-reviewed papers in reputed international journals. His research skills include mathematical modeling, computational fluid dynamics, analytical methods, and the application of advanced numerical techniques in solving real-world scientific and engineering problems. Beyond academia, he has demonstrated outstanding leadership as Head of the Mathematics Department, Coordinator of Distance Education Programs, and Chair of various institutional committees, contributing significantly to academic development and policy formation. His dedication to quality education and research excellence has been recognized through multiple honors, including Best Teacher of the Year and appreciation awards for leadership and conference organization. Dr. Haile’s scholarly achievements continue to influence both theoretical and applied mathematics, advancing knowledge in modern fluid mechanics and computational mathematics. His commitment to fostering academic innovation and community engagement underscores his vital role in Ethiopia’s higher education landscape and the global scientific community.He has acheived  356 Citations, 19 Documents, 9 h-index.

Profiles:  ORCID | Research Gate | Scopus

Featured Publications

1. Moltot, A. T., Haile Gorfie, E., Zergaw, G. A., & Asress, H. D. (2025). Influences of variable thermal conductivity, viscous dissipation, and Cattaneo–Christov heat and mass fluxes on MHD tangent hyperbolic ternary hybrid nanofluid flow over a stretching sheet. Engineering Reports.

2. Eneyew, E., Haile, E., Walelgn, A., & Tsegaw, E. (2025, May 14). Dual-phase thermal and concentration relaxation effects on magneto-viscoelastic Williamson nanofluid: A Cattaneo–Christov flux approach. Preprint.

3. Haile Gorfie, E., Moltot, A. T., Zergaw, G. A., & Dessie, H. (2025). Influence of Joule heating and nonlinear thermal radiation on the electrical conductivity of second-grade hybrid nanofluid flow over a stretching cylinder. Engineering Reports.

4. Tsegaye, A., Haile, E., Zergaw, G. A., & Dessie, H. (2025, March 31). Effect of non-linear thermal radiation and Cattaneo–Christov heat and mass fluxes on the flow of Williamson hybrid nanofluid over a stretching porous sheet [version 2; peer review: 2 approved, 2 approved with reservations]. F1000Research.

5. Moltot, A. T., Haile Gorfie, E., Zergaw, G. A., & Dessie, H. (2025, March 10). Unsteady MHD flow of tangent hyperbolic ternary hybrid nanofluid in a Darcy–Forchheimer porous medium over a permeable stretching sheet with variable thermal conductivity [version 2; peer review: 3 approved]. F1000Research.