Svetlana Fa Nedeljkovic | Learning & Development | Research Excellence Award | 2704

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Dr. Svetlana Fa Nedeljkovic | Learning & Development | Research Excellence Award

Senior Research Associate | The University of  Faculty of Sciences University of Novi Sad | Serbia

Dr. Svetlana Fa Nedeljković is a distinguished researcher whose scientific contributions lie at the intersection of reproductive toxicology, developmental biology, endocrine disruption, and epigenetic regulation. Her work advances fundamental understanding of how environmental contaminants particularly endocrine-disrupting chemicals interfere with cellular signaling, steroidogenesis, reproductive development, and early-life programming of health and disease. With a research portfolio comprising 35 peer-reviewed publications, 578 citations, and an h-index of 17, she has made a sustained and influential impact within the fields of toxicology and environmental health sciences. Her research spans multiple biological systems, including human granulosa cells, endothelial cells, zebrafish models, and rodent reproductive cells, enabling multi-layered insight into mechanisms of toxicity. She has significantly contributed to deciphering how chemicals such as phthalates bisphenol A, atrazine, and hexabromocyclododecane alter intracellular pathways, including linked regulatory cascades. Her findings helped reveal how these pathways subsequently impact steroid hormone synthesis, mitochondrial function, angiogenesis, reproductive competence, and cellular homeostasis. A notable dimension of her work addresses the Developmental Origins of Health and Disease  through epigenetic changes in early fetal tissues. Her studies on methylation patterns in response to maternal exposures have contributed valuable evidence for understanding how early environmental influences shape long-term physiological outcomes. Dr. Nedeljković has also engaged in extensive collaborative research across international projects focusing on reproductive biology, ecotoxicology, chemical risk assessment, and artificial intelligence based toxicological modeling. Her work integrates in vitro, in vivo, in silico, and systems-level approaches to build mechanistic frameworks for predicting human health risks. Through her broad and methodologically diverse contributions, Dr. Nedeljković continues to advance cutting edge research aimed at protecting reproductive health and improving scientific foundations for chemical safety evaluation.

Profiles:  Scopus | ORCID 

Featured Publications

Tesic, B., Fa Nedeljkovic, S., Markovic Filipovic, J., Samardzija Nenadov, D., Pogrmic-Majkic, K., & Andric, N. Early-life exposure to di(2-ethylhexyl) phthalate impairs reproduction in adult female zebrafish (Danio rerio).

Tesic, B., Samardzija Nenadov, D., Tomanic, T., Fa Nedeljkovic, S., Milatovic, S., Stanic, B., Pogrmic-Majkic, K., & Andric, N. DEHP decreases steroidogenesis through the cAMP and ERK1/2 signaling pathways in FSH-stimulated human granulosa cells.

Stanic, B., Milošević, N., Sukur, N., Samardzija Nenadov, D., Fa Nedeljkovic, S., Škrbić, S., & Andric, N.  An in silico toxicogenomic approach in constructing the aflatoxin B1-mediated regulatory network of hub genes in hepatocellular carcinoma.

Zhaoxia Li | HR Technology and Digital Transformation | Research Excellence Award

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Mrs. Zhaoxia Li | HR Technology and Digital Transformation | Research Excellence Award

Associate Professor | The University of  Yunnan University of Finance and Economics | China

Mrs. Zhaoxia Li is an emerging researcher in the field of Management Science and Engineering, specializing in supply chain management, digital transformation, and HR digitalization. Her scholarly work is driven by a commitment to strengthening the integration of data analytics and decision sciences within organizational systems, particularly focusing on the evolving dynamics of digital supply chains and human resource technologies. With a growing research portfolio, she has contributed to the development and evaluation of innovative decision models designed to improve efficiency, adaptability, and sustainability across complex supply chain environments. Her academic contributions span multiple peer-reviewed journals and conference publications, including studies on logistics alliance strategies, low carbon pharmaceutical cold chain distribution, intelligent cold chain quality control, and evolutionary game models for distribution optimization. These publications demonstrate her ability to merge theoretical modeling with practical industry challenges, offering actionable insights for digital transformation in modern enterprises. She has published four academic papers, including two journal articles indexed in SCI and Scopus, which reflect her increasing impact within her discipline. Mrs. Li has completed or is currently engaged in five research projects, including work related to digital tools, evolutionary models, and algorithm-driven optimization. Her research has also generated a patent currently under review, underscoring her inclination toward applied innovation. Although early in her research career, her contributions have already gained attention through growing citation activity and expanding scholarly collaborations. Her central research agenda emphasizes the construction of multi dimensional adaptive frameworks that integrate supply chain decision making with HR digitalization. This framework seeks to advance enterprise digital transformation by aligning operational processes, technology adoption, and organizational decision systems. Through her consistent academic output, systems oriented perspective, and commitment to digital innovation, Mrs. Li is establishing a meaningful trajectory within the global research community of Management Science and Engineering.

Profile: ORCID 

Featured Publications

Ran, W., Li, Z., Xue, Y., & He, D.  Literature review: Current trends and future prospects of digital vaccine supply chain support technology.

Li, Z., Ran, W., Zheng, H., & Xue, Y. Quality control of vaccine cold chain transportation under intelligent system monitoring From China’s experience. In Lecture Notes on Data Engineering and Communications Technologies.

Ran, W., Li, Z., & Xue, Y. Optimization and application of pharmaceutical low-carbon cold chain logistics distribution model based on improved ant colony algorithm.

Ran, W., He, D., Li, Z., Xue, Y., He, Z., & Basnayaka Gunarathnage, Research on distribution strategy of logistics enterprise alliance based on three-party evolution game.

Asterios Patsiaouras | Coaching & Mentoring | Research Excellence Award

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Dr. Asterios Patsiaouras | Coaching & Mentoring | Research Excellence Award

EEP | The University of  Thessaly | Greece

Dr. Asterios Patsiaouras is a prominent researcher in sport psychology, sport didactics, and elite performance training, with a particular emphasis on volleyball and team sports. His research portfolio, comprising 18 scholarly documents, has accumulated 244 citations and an h-index of 8, reflecting both the academic impact and practical relevance of his work in applied sport science. A major focus of his studies is resilience, anxiety, and psychological readiness in athletes, particularly volleyball players. His research investigates how team dynamics, gender, and coaching styles influence resilience, stress management, and performance outcomes. Several studies have examined the technical elements of elite volleyball teams and their predictive power for match outcomes, providing data-driven insights to enhance athlete preparation and strategic coaching. Dr. Patsiaouras has also contributed to the understanding of coach athlete relationships, exploring the ethical, social, and value-based dimensions of mentorship in sports. His work highlights the critical role of communication, leadership, and relational dynamics in optimizing athlete development and mental health. In addition, his research addresses broader psychosocial and developmental issues, such as the mental health of children and adolescents, the role of sport in fostering social values, and the integration of neurodiversity considerations in performance and well-being. By combining psychological theory with applied methodology, his studies offer practical recommendations for coaches, educators, and sport professionals seeking to promote both performance excellence and holistic athlete development. Dr. Patsiaouras’s publications, which include peer-reviewed articles, book chapters, and interdisciplinary contributions, are widely recognized for advancing knowledge in sport psychology and applied sports science. His work bridges theory and practice, emphasizing evidence-based approaches to resilience, mental fitness, ethical coaching, and high level performance. Collectively, his contributions provide a comprehensive understanding of the psychological and social factors that influence athletes, their teams, and the broader sporting environment.

Featured Publication

Chatzipanteli, A., Zafeiroudi, A., Trigonis, I., Tsartsapakis, I., Fotiadis, A., Patsiaouras, A., & Digelidis, N.  Justifications for judgment accuracy in sports.

Bingfei Gu | Rewards & Recognition | Research Excellence Award

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Prof. Dr. Bingfei Gu | Rewards & Recognition | Research Excellence Award

Professor | The University of Zhejiang Sci-Tech University | China

Prof. Dr. Bingfei Gu is a prominent researcher in the interdisciplinary domain of digital apparel engineering, computational ergonomics, and intelligent garment technologies. With a scholarly record of 81 publications, 255 citations, and an h-index of 11, the author has built a strong research presence that spans human body modeling, fabric behavior simulation, and advanced garment design systems. Their work integrates computational methods, image processing, 3D point cloud analytics, and artificial intelligence to address long-standing challenges in apparel fit, pattern generation, body measurement accuracy, and digital clothing representation. A central focus of the author’s research is the development of precise and scalable human body measurement frameworks using hybrid scanning and imaging systems. This includes advanced classification of body shape, automated feature extraction, and individualized prototype generation for apparel design. Their studies on digital garment systems explore virtual fittings, numerical simulations of fabric drape, and biomechanics-based modeling of clothing body interaction, contributing to improved prediction of wearer comfort and performance. The author has produced influential work on garment technologies, including new algorithms for pattern adaptation, topologically consistent model reconstruction, and simulation-driven design optimization. Their research in garment virtual simulation extends into computational evaluations of ergonomics, ballistic protection mechanisms, and AI driven virtual try on methods leveraging generative diffusion models. Through collaboration with multidisciplinary teams, the author has contributed to notable advancements in industrial ergonomics, textile engineering, and digital fashion innovation. Their publications in high impact journals demonstrate a commitment to methodological rigor and practical relevance, supporting the broader transition toward intelligent apparel manufacturing, personalized garment engineering, and data-driven fashion technologies. The author’s contributions continue to shape emerging standards in digital human modeling and next-generation garment simulation.

Featured Publications

Hou, J., Lu, Y., Wang, M., Ouyang, W., Yang, Y., Zou, F., Gu, B., & Liu, Z.  A Markov Chain approach for video-based virtual try-on with denoising diffusion generative adversarial network. Knowledge Based Systems.

Jin, S., & Gu,, Production scheduling optimization of shirt component module based on standard man-hour prediction.

Sheng, X., Zhao, S., & Gu, B. Construction of shirt component module groups based on process similarity

Sun, Y., Niu, W., Chen, X., Chen, Q., Gu, B., & Liu, Y. Application of human finite element model in flexible protective products. Journal of Medical Biomechanics.

Feng, H., Sheng, X., Zhang, L., Liu, Y., & Gu, B. Color analysis of brocade from the 4th to 8th centuries driven by image based matching network modeling.

Jin, S., & Gu, B. Individualized generation of women’s prototype based on the classification of body shape.

Chao-Feng Shih | Leadership Development | Best Researcher Award

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Assist. Prof. Dr. Chao-Feng Shih | Leadership Development | Best Researcher Award

Assist. Prof | The University of  Central Police University | Taiwan

Dr. Chao-Feng Shih is a scholar and engineer specializing in marine engineering, maritime safety, smart port technologies, and computational mechanics. His academic background and research trajectory focus on advancing hydrodynamics, nonlinear sloshing analysis, marine risk assessment, and intelligent port-based monitoring systems. He has developed strong expertise in integrating engineering theory with modern computational tools to address complex maritime challenges and enhance operational safety in port and offshore environments. His doctoral research applied a modified Lie-Group algorithm to nonlinear sloshing problems, contributing new numerical strategies for analyzing fluid structure interactions in confined and dynamic marine systems. Dr. Shih’s broader research in nonlinear hydrodynamics includes studies on sloshing suppression using baffle designs, meshless methods for heat transfer simulation, and explicit/implicit Lie-Group numerical schemes. His work has been published in reputable indexed journals, addressing topics such as underwater vehicle acoustics, two-dimensional tank sloshing behavior, and Trefftz-based multi-scale methods. Beyond theoretical contributions, Dr. Shih’s research intersects with applied maritime safety and smart harbor development. He has played key roles in projects involving 5G-enabled port monitoring, based inspection systems, and driven maritime applications. His recent works explore remote sensing for port operations, edge-computing frameworks for drone communications, and AI-enhanced solutions for underwater environmental monitoring. These efforts highlight his commitment to integrating emerging technologies with marine engineering to support safer, more efficient, and data-driven maritime operations. His academic publications also include studies on fire prevention in cargo vessels, unmanned underwater vehicle applications, and marine safety risk assessment. Future research directions involve developing AI assisted maritime training systems, simulation-based digital twin platforms, autonomous navigation technologies, and advanced predictive models for port-level risk management. Through this multidisciplinary research portfolio, Dr. Shih continues to contribute to innovation across marine engineering, intelligent maritime systems, and computational analysis.

Featured Publications

Tan, C.-C., Shih, C.-F., Shen, J.-H., & Chen, Y.-W.  A time–space numerical procedure for solving the sideways heat conduction problem.

Chen, Y.-W., Pan, C.-C., Lin, Y.-H., Shih, C.-F., Shen, J.-H., & Chang, C.-M. Acoustic field radiation prediction and verification of underwater vehicles under a free surface. Journal of Marine Science and Engineering

Salah-Eddine Chorfi | Rewards & Recognition | Young Researcher Award

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Assist. Prof. Dr. Salah-Eddine Chorfi | Rewards & Recognition | Young Researcher Award

Assistant Professor | The University of Cadi Ayyad University | Morocco

Dr. Salah-Eddine Chorfi is an applied mathematician whose research lies at the intersection of inverse problems, control theory, and the analysis of partial differential equations. His work focuses on developing rigorous mathematical frameworks to address fundamental questions related to identification, stability, and controllability in complex dynamical systems. A key aspect of his research involves studying equipped with dynamic boundary conditions, which arise in models describing diffusion, heat transfer, and wave propagation in heterogeneous media. Chorfi’s contributions span multiple interrelated themes. He investigates inverse source problems, coefficient determination, and initial data reconstruction using advanced tools such as Carleman estimates, semigroup theory, and logarithmic convexity methods. These approaches enable the establishment of uniqueness and quantitative stability results for parabolic, hyperbolic, and time-fractional evolution equations. His work also explores the control and stabilization of PDEs, including null controllability, impulsive control, and finite-time stabilization, offering new insights into systems governed by coupled or degenerate equations. Another significant direction in his research is the analysis of time-fractional diffusion models and mean field game systems, where he examines backward problems, non-symmetric operators, and degenerate dynamics. His investigations contribute to bridging theoretical PDE analysis with computational and applied challenges, particularly in contexts where data are incomplete or the underlying systems are ill-posed. Chorfi has authored 23 scientific documents, which collectively have received 67 citations, resulting in an h-index of 7. His work is published in highly regarded journals including Evolution Equations and Control Theory, Journal of Mathematical Analysis and Applications, Mathematical Methods in the Applied Sciences, Applicable Analysis, Inverse Problems, and others. Through his collaborations with researchers in analysis, control theory, and mathematical modeling, he contributes to advancing modern approaches to inverse problems and dynamical systems. His research continues to influence emerging methodologies for understanding complex driven phenomena in both theoretical and applied settings.

Featured Publications

Chorfi, S. E., Habbal, A., Jahid, M., Maniar, L., & Ratnani, A. Stability of backward inverse problems for degenerate mean field game systems.

Chorfi, S.-E., Ismailov, M. I., Maniar, L., & Oner, I. Boundary null controllability of the heat equation with Wentzell boundary condition and Dirichlet control.

Pascal Vrignat | Learning & Development | Best Academic Researcher Award

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Assist. Prof. Dr. Pascal Vrignat | Learning & Development | Best Academic Researcher Award

Assist. Prof. Dr.Pascal Vrignat | The University of Orleans University | France

Dr. Pascal Vrignat is a highly accomplished researcher whose scientific contributions lie at the intersection of operational safety, diagnostics, prognosis, and maintenance strategies for complex systems. His research focuses on the modeling and optimization of system reliability and performance using Markovian and stochastic processes, with particular attention to system obsolescence, shortages, and life-cycle management. He integrates survival laws and Hidden Markov Models  to develop advanced models for remaining useful life prediction and degradation analysis, addressing key challenges in industrial maintenance and decision support. With a strong publication record of 25 scholarly works, 242 citations, and an h-index of 6, Vrignat has established himself as a significant contributor in the fields of industrial systems engineering and intelligent maintenance. His research output includes high-impact journal articles, such as his recent paper, “Contribution to Estimating the Level of Bearing Degradation Using an HMM MultiBranch Approach” which demonstrates a refined methodology for mechanical fault diagnosis and predictive maintenance. His studies consistently bridge theoretical modeling with applied engineering, especially in areas involving industrial computer applications, systems, IoT integration, and digital communication networks. Vrignat’s work extends to the development of AI-driven tools for sustainability and automation, reflecting a broader commitment to advancing the Industry 4.0 and smart manufacturing paradigm. His publication, “The Effectiveness of AI: Feedback on the Experience to Counteract Food Waste” (Journal of Sustainability Research, exemplifies his interdisciplinary reach, applying artificial intelligence for societal benefit. Beyond technical innovation, his research promotes practical solutions that enhance reliability, optimize maintenance planning, and extend system longevity.

Featured Publications

Vrignat, P., Avila, M., Duculty, F., Bardet, C., Begot, S., & Marangé, P. Innovative pedagogies for Industry 4.0: Teaching RFID with serious games in a project-based learning environment. Education Sciences.

Vrignat, P., Kratz, F., Avila, M., Duculty, F., Begot, S., & Bardet, J. C. The effectiveness of AI: Feedback on the project to counteract food waste. Journal of Sustainability Research.

Ghasem Noorkhajavi | Leadership Development | Best Researcher Award

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Dr. Ghasem Noorkhajavi | Leadership Development | Best Researcher Award

Researcher | The University of  Tabriz Medical Sciences | Iran

Ghasem Noorkhajavi is an accomplished researcher whose scientific contributions span the interdisciplinary fields of nanomedicine, cancer immunotherapy, and biomedical nanotechnology. His research primarily focuses on developing and optimizing nanostructured systems for targeted drug delivery, immunogenic cell death induction, and exosome-mediated cancer therapy. With a growing academic influence reflected in 6 research documents, 93 citations, and an h-index of 6, his scholarly work demonstrates both depth and innovation in translational nanomedicine. His studies have explored the immunotherapeutic mechanisms of icilin and menthol-loaded nanoparticles, emphasizing their role in triggering  and enhancing antitumor immune responses. Through the design of icilin-based nanostructures and nanolipid carriers, he has contributed to understanding how nanoscale systems can modulate cancer cell signaling and immune activation. His research also extends to the synthesis of quantum dots and carbon nanomaterials with applications in bioimaging, drug delivery, and cancer detection. Beyond oncology, his investigations encompass postbiotics and their potential applications in detoxification, antimicrobial defense, and as adjuvants in viral therapy. Notable works include studies on aflatoxin biodetoxification, pesticide mitigation, and postbiotics for SARS-CoV-2 disease therapy, which highlight his multidisciplinary approach bridging nanotechnology, microbiology, and biomedical engineering. His publications in reputed journals such as Nanomedicine, Cancer Cell International, Journal of Biological Engineering, and Probiotics and Antimicrobial Proteins reflect both academic rigor and translational potential. Through his innovative focus on nanostructured systems and biological interactions, his research contributes significantly to advancing therapeutic nanotechnology, particularly in the context of precision oncology and regenerative medicine. Ghasem Noorkhajavi’s scholarly profile embodies a balance of scientific curiosity, technological innovation, and commitment to improving human health through the integration of nanoscience and biomedical research.

Featured Publications

Khani, N., Abedi Soleimani, R., Noorkhajavi, G., Abedi Soleimani, A., Abbasi, A. Postbiotics as potential promising tools for disease adjuvant therapy. Journal of Applied Microbiology.

Khani, N., Noorkhajavi, G., Soleiman, R. A., Raziabad, R. H., Rad, A. H.Aflatoxin biodetoxification strategies based on postbiotics. Probiotics and Antimicrobial Proteins.

Khani, N., Noorkhajavi, G., Reziabad, R. H., Rad, A. H., & Ziavand, M. Postbiotics as potential detoxification tools for mitigation of pesticides. Probiotics and Antimicrobial Proteins.

Esmaeili, A., Soleimani, M., Rouhani, M., Noorkhajavi, G., Aghaei-Zarch, S. M. Xenograft-based skin substitutes: A critical review. Journal of Drug Delivery Science and Technology.

Panahizadeh, R., Panahi, P., Asghariazar, V., Makaremi, S., Noorkhajavi, G. A literature review of recent advances in gastric cancer treatment: Exploring the cross-talk between targeted therapies. Cancer Cell International.

Michal Kravčík | HR Business Partnering | Best Researcher Award

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Dr. Michal Kravčík | HR Business Partnering | Best Researcher Award

Researcher | The University of People and Water NGO | Slovakia

Michal Kravčík is a Slovak environmental researcher and hydrologist whose work has profoundly influenced modern thinking on water management, climate restoration, and sustainable regional development. His research centers on the interdependence between water cycles, ecosystems, and climate regulation, forming the foundation of the New Water Paradigm, a globally recognized framework for water and climate recovery. This theory emphasizes retaining rainwater within ecosystems to restore the small water cycle, replenish groundwater, regulate temperatures, and support biodiversity. Kravčík’s approach challenges conventional hydrological models that prioritize drainage and diversion, proposing instead that water restoration is essential to reversing climate degradation and desertification. Kravčík’s initiatives, particularly through the Blue Alternative and People and Water, illustrate how decentralized water management can drive both environmental renewal and community empowerment. His integrated approach demonstrates that water restoration serves as a pathway to ecological stability and economic resilience, especially in regions facing high unemployment and social marginalization. By linking hydrology to social innovation, his work has contributed to broader understandings of participatory governance, sustainability, and climate adaptation. His research publications, including Water for the Recovery of the Climate. A New Water Paradigm , Water for the Third Millennium , Between Floods and Droughts and Water Without Borders provide comprehensive insights into how water retention can serve as both a mitigation and adaptation strategy for climate change. These works have become key references for policymakers, environmentalists, and sustainability researchers worldwide. Kravčík’s research influence is reflected in four major publications, 25 citations, and an h-index of 3. His scholarship continues to inspire global environmental discourse, emphasizing that climate recovery and water restoration are inseparable. By integrating ecological science, community action, and systems thinking, Kravčík’s contributions remain central to shaping sustainable water and climate management.

Featured Publication

Kravcik, M., et al. Costs and benefits of landscape-based water retention measures as nature-based solutions to mitigating climate impacts in eastern Germany, Czech Republic, and Slovakia. Land Degradation & Development.

Manwika Kongpuang | Rewards & Recognition | Best Researcher Award

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Assist. Prof. Dr. Manwika Kongpuang | Rewards & Recognition | Best Researcher Award

Engineering Lecturer | The University of Faculty of Engineering Prince of Songkla | Thailand

Dr. Manwika Kongpuang dedicated scholar in metallurgy and materials engineering, this researcher’s work focuses on advancing nondestructive testing and structural health monitoring technologies for improved material reliability and infrastructure safety. Their primary expertise lies in acoustic emission techniques, rail steel behavior, metal forming, and semi-solid processing bridging materials science and engineering applications to address industrial and transportation challenges. The research emphasizes the development of innovative diagnostic and monitoring approaches for metallic components, particularly in railway systems, enabling real-time defect detection, predictive maintenance, and performance optimization. The author’s contributions span several high-impact, peer-reviewed journals indexed in Scopus and Web of Science, including Nondestructive Testing and Evaluation, Results in Engineering, Sensors, and Transactions of the Indian Institute of Metals. Their studies have provided new insights into the relationships between microstructure, mechanical performance, and acoustic emission signals in metals under various loading and thermal conditions. Additionally, significant research has been devoted to improving the mechanical and tribological properties of metal matrix composites through advanced casting and heat-treatment processes. Through active participation in international conferences such as the World Conference on Acoustic Emission and the International Conference on Condition Monitoring and Asset Management, the researcher has contributed to global discussions on rail maintenance, digital twin technologies, and sustainable engineering solutions. Their interdisciplinary approach combines experimental investigation, data analysis, and materials characterization to develop efficient, data-driven methods for assessing and extending the life of engineering systems. Overall, the author’s research demonstrates a strong commitment to advancing intelligent condition monitoring, reliability-based maintenance, and sustainable materials innovation, contributing valuable knowledge to the fields of materials science, nondestructive evaluation, and infrastructure engineering.

Featured Publications

Kaewunruen, S., AbdelHadi, M., Kongpuang, M., Pansuk, W., & Remennikov, A. M. Digital twins for managing railway bridge maintenance, resilience, and climate change adaptation.

Kongpuang, M., Chaideesungnoen, S., Muangjunburee, P., Oo, H. Z., & Janudom, S. Effect of post-weld heat-treatment on microstructure and mechanical behavior of Inconel  overlay cladding on  Cr-1Mo steel. Transactions of the Indian Institute of Metals.

Muangjunburee, P., Poolsiri, N., Chaideesungnoen, S., Naultem, A., Oo, H. Z., & Kongpuang, M. Observation on the weld metal of resurfaced rail steel. Chiang Mai Journal of Science.

Kongpuang, M., Culwick, R., Cheputeh, N., Marsh, A., Jantara Junior, V. L., Vallely, P., Kaewunruen, S., & Papaelias, M. Quantitative analysis of the structural health of railway turnouts using the acoustic emission technique. Insight: Non-Destructive Testing and Condition Monitoring.