Assist. Prof. Dr. Mai Noipitak | Acoustics | Best Researcher Award 

Assist. Prof. Dr. Mai Noipitak | Acoustics | Best Researcher Award 

Assist. Prof. Dr. Mai Noipitak| King Mongkut’s University of Technology Thonburi | Thailand

Asst. Prof. Dr. Mai Noipitak is a leading researcher in materials engineering and nondestructive testing (NDT), with expertise spanning ultrasonic, radiographic, eddy current, and time-of-flight diffraction techniques. His work focuses on developing advanced evaluation methods for detecting material degradation, improving welded joint reliability, and enhancing the precision of inspection processes in industrial applications. He has made significant contributions to the understanding of stress measurement, residual stress analysis, and the mechanical behavior of metals and composites under diverse thermal and operational conditions. His research includes pioneering studies on ultrasonic energy attenuation, acoustoelastic coefficient improvement, and eddy current analysis for deterioration prediction. Dr. Noipitak’s scientific contributions are reflected in numerous publications in reputed international journals and conferences, emphasizing innovation in inspection technology and material characterization. His investigations into carbon steel, stainless steel, and alloy structures have advanced nondestructive evaluation for energy and manufacturing sectors. He also explores the use of magnetic Barkhausen noise and digital radiography in stress and defect analysis. Dr. Noipitak’s research bridges academic rigor and industrial application, promoting safer, more efficient testing standards. He collaborates extensively with industry partners to solve complex engineering problems through applied NDT methods. His academic leadership in the Material and Nondestructive Testing Laboratory strengthens the link between research and professional practice. Additionally, he contributes to the training of engineers and technicians in advanced NDT and welding inspection. His work supports the development of sustainable inspection technologies and quality systems across industrial fields. Dr. Noipitak remains a driving force in advancing the science of materials evaluation and nondestructive engineering.

Profile: Scopus 

Featured Publications

Chiablam, C., Noipitak, M., Poopat, B., Saetang, V., & Heyrman, S. (2025). Evaluation of carburization-induced degradation in service-exposed nickel–chromium alloys using time-of-flight diffraction (TOFD). Progress in Engineering Science, 100175.

Chiablam, C., Poopat, B., Noipitak, M., & Heyrman, S. (2024). Eddy current analysis for predicting deterioration stages in alumina former radiant coils. Engineering Failure Analysis, 158, 107943.

Dumrongkit, C., Noipitak, M., Chiablam, C., & Chiablam, C. (2023). Investigation of transfer correction for in-service inspection of coated steel welds using ultrasonic method. Journal of Renewable Energy and Smart Grid Technology, 18(1), 14–28.

Sodsai, K., Noipitak, M., Saetang, V., & Tuengsook, P. (2023). Effects of thermal treatment on the mechanical and electromagnetic properties of 9Cr–1Mo steel. Journal of Materials Science and Applied Energy, 12(1), 1–13.

Preedawiphat, P., Mahayotsanun, N., Sa-ngoen, K., Noipitak, M., Tuengsook, P., Sucharitpwatskul, S., & Dohda, K. (2021). Creep behaviors of ASTM A36 welded joints. Engineering and Applied Science Research, 48(4), 446–455.

Mr. Tiancai Liao | Mathematical Physics | Best Researcher Award 

Mr. Tiancai Liao | Mathematical Physics | Best Researcher Award 

Mr. Tiancai Liao | Natural Science Research General Project of Higher Education Institutions in Jiangsu Province, China

Dr. Tiancai Liao is a researcher in biomathematics whose work focuses on the mathematical modeling of complex ecological systems. His research integrates deterministic and stochastic differential equation frameworks to study the dynamic behavior of aquatic ecosystems, particularly phytoplankton–zooplankton interactions and coral reef dynamics. He investigates how environmental factors such as temperature variation, salinity changes, acid-base balance, and global warming influence ecosystem stability and biodiversity. By incorporating size-dependent mechanisms and stochastic perturbations, his studies reveal intricate patterns of ecological oscillations, bifurcations, and chaotic dynamics in planktonic populations. Dr. Liao has contributed numerous papers to international journals including Chaos, Solitons & Fractals, Chinese Journal of Physics, Mathematical Methods in the Applied Sciences, and Journal of Applied Mathematics and Computing. His research also explores the role of Allee effects, time delays, and noise-induced transitions in shaping population dynamics. He applies advanced mathematical tools to understand ecological resilience and critical thresholds under environmental stress. His theoretical findings provide a framework for predicting algal bloom formation and coral reef degradation. Dr. Liao’s interdisciplinary approach bridges mathematics, biology, and environmental science. His studies enhance understanding of nonlinear ecological behaviors and stochastic processes in natural systems. Through his modeling work, he offers valuable insights into sustainable management of aquatic ecosystems.

Profiles: Orcid

Featured Publications

Liao, T. (2024). Dynamical complexity driven by water temperature in a size-dependent phytoplankton–zooplankton model with environmental variability. Chinese Journal of Physics, 87, Article 106225.

Liao, T. (2024). The impact of temperature variation on the algae–zooplankton dynamics with size-selective disturbance. Chaos, Solitons & Fractals, 181, Article 114615.

Liao, T., & Ruan, X. (2024). Deterministic and stochastic analysis of a size-dependent phytoplankton–zooplankton model with additive Allee effect. Journal of Biological Systems, 32(1), Article 2450011.

Liao, T. (2024). Stochastic dynamics of a plankton model with zooplankton selectivity and nutritional value of phytoplankton. Journal of Applied Mathematics and Computing, 70(1–2), 185–202.

Liao, T. (2022). Dynamics of interacting plankton induced by plankton body size in deterministic and stochastic environments. Chinese Journal of Physics, 77, 1533–1548.

Liao, T. (2022). The impact of plankton body size on phytoplankton–zooplankton dynamics in the absence and presence of stochastic environmental fluctuation. Chaos, Solitons & Fractals, 155, Article 111617.

Liao, T. (2020). Impact of noise in a phytoplankton–zooplankton system. Journal of Applied Analysis & Computation, 10(6), 2563–2578.

Liao, T. (2020). Dynamical analysis of a stochastic toxin-producing phytoplankton–fish system with harvesting. Advances in Difference Equations, 2020(1), Article 657.