Assist Prof Dr. Meysam Jalali | Materials Science | Excellence in Research
Assistant Professor at Shahrood University of technology, Iran
Assist. Prof. Dr. Meysam Jalali is a distinguished academic and professional in the field of Civil and Structural Engineering, currently serving as an Assistant Professor at Shahrood University of Technology (SUT). With a Ph.D. in Civil/Structural Engineering from Shahrood University of Technology and an MSc in Civil/Earthquake Engineering from the University of Tehran, Dr. Jalali has developed significant expertise in construction materials, seismic behavior of structures, and advanced cementitious composites. He is also the Head of the Construction Material Lab at SUT, where he leads innovative research in experimental investigations and numerical modeling. Dr. Jalali’s work has earned him recognition in both academic and professional circles, particularly for his contributions to the development of novel fibers for reinforcing ultra-high-performance concrete and other cement-based materials. His research interests include the application of soft computing methods in civil engineering, net-zero construction, and 3D concrete printing. Dr. Jalali has published extensively in high-impact journals and has been involved in several high-profile research projects and consulting roles in Iran’s infrastructure development.
Education
Assist. Prof. Dr. Meysam Jalali holds a Ph.D. in Civil/Structural Engineering from Shahrood University of Technology, where he developed advanced expertise in structural analysis and design. He also earned a Master of Science (MSc) in Civil/Earthquake Engineering from the University of Tehran, focusing on the seismic behavior of structures, which has significantly influenced his research and professional work. Dr. Jalali completed his Bachelor of Science (BSc) in Civil Engineering at Shahrood University of Technology, laying the foundation for his extensive academic and professional career in civil and structural engineering.
Professional Experience
Assist. Prof. Dr. Meysam Jalali has a wealth of professional experience in the field of Civil and Structural Engineering, with a particular focus on construction materials and seismic behavior. He has been an Assistant Professor at Shahrood University of Technology (SUT) since 2010, where he also serves as the Head of the Construction Material Lab. In addition to his academic roles, Dr. Jalali is a Professional Engineer registered with the Tehran Engineering Organization and has extensive consulting experience. He has worked as a consultant engineer for Iran Water & Power Resources Development Company (IWPCO) and Tehran Engineering and Technical Consultant Organization (TETCO) for Underground Structures. Dr. Jalali has also held key positions in major infrastructure projects, including serving as Project Manager for the Hakim Twin Tunnels of Tehran and as the Head Engineer for the East-West Lot of Tehran Metro Line 7. His professional expertise extends to the design of structures, where he has contributed to various projects, bringing innovative solutions and technical acumen to the field.
Research Interest
Assist. Prof. Dr. Meysam Jalali’s research interests are centered around the experimental investigation of construction materials and structural engineering. His work focuses on cement-based materials, including Engineered Cementitious Composites (ECC), High-Performance Concrete (HPC), Fiber-Reinforced Concrete (FRC), and Slurry Infiltrated Fiber Concrete (SIFCON). Dr. Jalali is particularly interested in the development of innovative fiber types for reinforcing cementitious composites and the application of additive manufacturing techniques, such as 3D concrete printing, in construction. His research also encompasses the application of soft computing methods in civil engineering, multi-scale testing, and numerical modeling. He is dedicated to advancing net-zero construction practices and has been involved in pioneering projects related to the mechanical behavior of construction materials, the prediction of composite material performance using machine learning, and the development of new testing apparatus for fibrous composites. Dr. Jalaliās work contributes significantly to the innovation and sustainability of construction materials and methods.
Research Skills
Assist. Prof. Dr. Meysam Jalali is highly skilled in a broad range of research areas within civil and structural engineering. His expertise includes experimental investigations of construction materials, particularly cement-based composites such as ECC, HPC, FRC, and SIFCON. He has demonstrated significant proficiency in developing innovative fiber types for reinforcing these composites and is adept at conducting multi-scale testing to evaluate material performance. Dr. Jalali’s research extends to advanced numerical modeling, where he utilizes sophisticated computational techniques to predict and analyze structural behaviors. Additionally, he is well-versed in applying soft computing methods, including artificial neural networks (ANN), genetic programming (GEP), adaptive neuro-fuzzy inference systems (ANFIS), and group method of data handling (GMDH), to model and forecast the performance of construction materials. His innovative approach is further highlighted by his work in additive manufacturing, specifically 3D concrete printing, and his development of patented testing apparatus and methodologies for fibrous composites. Dr. Jalali’s research skills are complemented by his strong project management capabilities and his success in securing research funding from various academic and industry sources.
Conclusion
Given their extensive academic background, innovative research contributions, professional experience in large-scale engineering projects, and leadership in both education and research, this individual is a highly deserving candidate for the “Excellence in Research” award. Their work not only advances the field of civil and structural engineering but also addresses critical challenges in construction materials and sustainability.
Publications Top Notes
- Shear strengthening of RC beams using innovative manually made NSM FRP bars
- Journal: Construction and Building Materials
- Year: 2012
- Cited by: 81
- Volume: 36, Pages: 990-1000
- Experimental and analytical investigations on seismic behavior of ductile steel knee braced frames
- Journal: Steel and Composite Structures
- Year: 2014
- Cited by: 38
- Volume: 16(1), Pages: 1-21
- Machine learning prediction of fiber pull-out and bond-slip in fiber-reinforced cementitious composites
- Journal: Journal of Building Engineering
- Year: 2023
- Cited by: 14
- Volume: 63, Article ID: 105474
- Tunnel Rehabilitation in Fault Zone Using Sequential Joints Method – Case Study: Karaj Water Conveyance Tunnel
- Journal: International Journal of Mining and Geo-Engineering
- Year: 2018
- Cited by: 14
- Volume: 52(1), Pages: 87-94
- Flexural characteristics of fibre reinforced concrete with an optimised spirally deformed steel fibre
- Journal: International Journal of Engineering, Transactions C: Aspects
- Year: 2021
- Cited by: 7
- Volume: 34(6), Pages: 1390-1397
- Experimental investigation on the performance of engineered spiral fiber: Fiber pull-out and direct tension tests
- Journal: Construction and Building Materials
- Year: 2022
- Cited by: 2
- Volume: 347, Article ID: 128569
- Effect of seawater on micro-nano air bubbles concrete for repair of coastal structures
- Journal: Journal of Rehabilitation in Civil Engineering
- Year: 2020
- Cited by: 2
- Volume: 8(3), Pages: 34-42
- Numerical investigation of mechanized shield tunnels cross-cut
- Journal: Journal of Analytical and Numerical Methods in Mining Engineering
- Year: 2018
- Cited by: 1
- Volume: 8(16), Pages: 29-43
- Numerical investigation on shear strengthening of RC beams using near surface mounted (NSM) FRP
- Conference: 6th National Congress on Civil Engineering
- Year: 2011
- Cited by: 1
- Pull-out behavior of twin-twisted steel fibers from various strength cement-based matrices
- Journal: Construction and Building Materials
- Year: 2024 (upcoming publication)
- Article ID: 137855