Mahmoud Afshari | Direct Metal Deposition | Best Researcher Award

Dr. Mahmoud Afshari | Direct Metal Deposition | Best Researcher Award

Adjunct Professor at Ministry of Education of the Islamic Republic of Iran | Iran

Dr. Mahmoud Afshari’s research focuses on the integration of additive manufacturing, welding technologies, and composite materials design to advance high-precision fabrication methods in modern engineering. His body of work explores the mechanics, thermodynamics, and microstructural behavior of materials subjected to advanced manufacturing processes. Through the development of laser additive manufacturing models and friction stir welding simulations, Dr. Afshari has contributed to optimizing the thermal and mechanical performance of alloys such as Inconel 718, Ti-6Al-4V, and Al-Mg systems. His investigations have extended into polymer nanocomposites and fused filament fabrication (FFF), enhancing tensile modulus, hardness, and impact resistance through process-parameter optimization. His research outputs-comprising 30 Scopus-indexed publications with 168 citations and an h-index of 8-reflect rigorous experimentation combined with computational modeling. Notably, his recent articles in high-impact journals like Optics and Laser Technology, Journal of Molecular Structure, and Journal of Materials Science: Materials in Electronics highlight his expertise in material characterization, heat-transfer simulation, and nanostructure control. Alongside his scholarly publications, Dr. Afshari’s patents on advanced thermal systems and automated machinery demonstrate his applied research orientation and industry relevance. His scientific productivity, innovation in simulation-based design, and multidomain mastery exemplify excellence in metallurgical and manufacturing research, marking him as a strong candidate for the Best Researcher Award.

Profiles : Scopus | ORCID | Google Scholar

Featured Publications

Afshari, H., Taher, F., Alavi, S. A., Afshari, M., Samadi, M. R., & Allahyari, F. (2024). Studying the effects of FDM process parameters on the mechanical properties of parts produced from PLA using response surface methodology. Colloid and Polymer Science, 302(6), 955–970. Cited by: 26

Afshari, M., Bakhshi, S., Samadi, M. R., & Afshari, H. (2023). Optimizing the mechanical properties of TiO₂/PA12 nano-composites fabricated by SLS 3D printing. Polymer Engineering & Science, 63(1), 267–280. Cited by: 26

Afshari, M., Hamzekolaei, H. G., Mohammadi, N., Yazdanshenas, M., … (2023). Investigating the effect of laser cladding parameters on the microstructure, geometry and temperature changes of Inconel 718 superalloy using the numerical and experimental approaches. Materials Today Communications, 35, 106329. Cited by: 25

Taher, F., Afshari, M., Houmani, A., Samadi, M. R., Bakhshi, S., & Afshari, H. (2024). Simultaneous enhancement of the impact strength and tensile modulus of PP/EPDM/TiO₂ nanocomposite fabricated by fused filament fabrication. Colloid and Polymer Science, 302(3), 393–407. Cited by: 15

Hardani, H., Afshari, M., Samadi, M. R., Afshari, H., & López, S. A. (2025). An enhancement in the tensile modulus and bending resistance of polylactic acid/carbon nanotube composite by optimizing FFF process parameters. Journal of Thermoplastic Composite Materials, 38(4), 1379–1403. Cited by: 13

Jiaqi Chang | Manufacturing | Best Researcher Award

Mr. Jiaqi Chang | Manufacturing | Best Researcher Award

Doctoral Researcher at Tongji university, China.

Jiaqi Chang is a dedicated researcher specializing in tunnel and underground engineering. 🌌👷‍♂️ His passion for advancing civil and geotechnical engineering has driven him to excel in academia and research. Currently pursuing a dual Doctor of Engineering degree at Tongji University in China and Ruhr University Bochum in Germany, Jiaqi has consistently demonstrated exceptional talent and commitment. 📚🌍 His work focuses on cutting-edge technologies like machine learning, wireless sensing, and numerical simulations in tunneling projects. He is a recipient of numerous awards for his academic excellence and research contributions. 🏆🌟 In his leisure time, Jiaqi enjoys exploring innovative approaches to solving complex engineering challenges. 💡⚙️

Professional Profiles📖

ORCID

Scopus

Education 🎓

Jiaqi Chang embarked on his academic journey at Tongji University, earning a Bachelor of Engineering in Civil Engineering in 2019, ranking an impressive 7th out of 429 students. 🏅📐 He deepened his expertise with advanced coursework in soil mechanics, rock mechanics, structural mechanics, and mathematical modeling. 🌟✏️ Currently, he is pursuing dual doctoral degrees at Tongji University, China, and Ruhr University Bochum, Germany, with anticipated graduation dates in June 2025. 🌍 His education integrates rigorous training in tunnel engineering and computational modeling, preparing him for impactful research and innovation in his field. 💡🔬

Professional Experience💼

Jiaqi Chang’s career is marked by a blend of research, practical application, and collaboration on high-profile projects. 🌐 He has actively contributed to Chinese national and international research initiatives, focusing on safety risks in shield tunnels, adaptive intelligent construction technologies, and undersea tunnel diagnostics. 🌊🏗️ His responsibilities include analyzing disturbances caused by tunnel construction, intelligent sensing, and mechanical analysis. As a skilled communicator, Jiaqi has delivered oral presentations at prestigious conferences such as ECSMGE 2024 and ISGSR 2022. 🎤📊 His hands-on approach and academic rigor make him a standout in his field. 💪✨

Research Focus 🔍

Jiaqi’s research delves into the intersection of traditional civil engineering and advanced computational methods. 🌐💻 His work in shield tunneling construction leverages physics-informed machine learning, wireless sensing, and numerical simulation to address real-world challenges. 🚇📈 He also explores surrogate modeling to optimize tunnel designs, ensuring safety and efficiency. 🛠️📉 His interdisciplinary approach integrates engineering principles with data-driven technologies, aiming to revolutionize geotechnical practices. 🔄💡

Awards and Honors

Jiaqi Chang’s dedication has been recognized with several accolades, including the Scholarship of Outstanding Doctor at Tongji University (2019, 2023) and the prestigious China Scholarship Council award in 2022. 🎖️💼 His achievements extend to international competitions, such as the ISSMGE TC304 Student Contest, where he won an Excellent Award in 2021. 🌎⚙️ Notably, he received the 1st Prize in the Concrete Canoe Competition at the ASCE Mid-Pacific Student Conference in 2018. 🚤✨ These honors reflect his excellence in academic performance and innovative research contributions. 🌟📜

Conclusion ✅

Jiaqi Chang exemplifies the qualities of a distinguished researcher with a rare combination of theoretical depth and practical impact. His prolific contributions to tunneling and underground engineering, coupled with his pioneering use of machine learning and advanced modeling, make him a strong candidate for the Best Researcher Award. Continued expansion into multidisciplinary collaborations and global initiatives will only further solidify his position as a leader in his field.

Publications to Noted📚

Improved model-free adaptive control of shield machine posture during tunnelling

Authors: Hongwei Huang, Jiaqi Chang, Dongming Zhang, Markus Thewes, Wei Lin

Year: 2025

Journal: Advanced Engineering Informatics

Deformational behaviors of existing three-line tunnels induced by under-crossing of three-line mechanized tunnels: A case study

Authors: Jiaqi Chang, Markus Thewes, Dongming Zhang, Hongwei Huang, Wei Lin

Year: 2024

Journal: Canadian Geotechnical Journal

Data-Based postural prediction of shield tunneling via machine learning with physical information

Authors: Jiaqi Chang, Hongwei Huang, Markus Thewes, Dongming Zhang, Wu H.M.

Year: 2024

Journal: Computers and Geotechnics

Machine learning-based automatic control of tunneling posture of shield machine

Authors: Hongwei Huang, Jiaqi Chang, Dongming Zhang, Zhang J., Wu H.M., Li G.

Citations: 60 (Google Scholar)

Year: 2022

Journal: Journal of Rock Mechanics and Geotechnical Engineering

Transverse deformational behaviors of segmental lining during shield tunneling: A case study

Authors: Jiaqi Chang, Hongwei Huang, Dongming Zhang, Wu H.M., Yan J.Y.

Year: 2022

Journal: Structural Control & Health Monitoring

A hybrid sensing of rotation-induced stress of segmental lining during shield tunneling via WSN and surrogate numerical modeling

Authors: Jiaqi Chang, Dongming Zhang, Hongwei Huang, Jia J.W.

Year: 2023

Journal: Tunnelling and Underground Space Technology