Research Background

1. T Ali, RE Kim, KS Kim (2025), “Computational forensics framework for material property identification of reinforced structures leveraging DIC-based FEM updating via metaheuristic optimization ”, Computers & Structures

Impact Factor: 4.4, https://doi.org/10.1016/j.compstruc.2025.107696 

1. Q Abbas, T Ali, AT Asad, M Aslam (2024), “Analyzing the impact of geosynthetic reinforcement on Sinkhole: A numerical investigation with Machine Learning approach ”, Engineering Failure Analysis

Impact Factor: 3.9, https://doi.org/10.1016/j.engfailanal.2023.107915 

1. T Ali, RE Kim, KS Kim, KT Park (2023), “Nonlinear finite element modeling and parametric analysis for the design implication of expanded rib steel bars in RC beams”, Developments in the Built Environment

Impact Factor: 8.2, https://doi.org/10.1016/j.dibe.2023.100242

2. KS Kim, KT Park, KS Jung, RE Kim, T Ali, C Park (2023), “Development of a novel connection method using expanded rib and spiral bars for reinforced concrete beams with cold joints”, Engineering Structures

Impact Factor: 5.5, https://doi.org/10.1016/j.engstruct.2023.116863

3. T Ali, W Haider, M Haziq, O Khan Muhammad, A Hussain (2023), “The Development and Validation of Correlation Charts to Predict the Undisturbed Ground Temperature of Pakistan: A Step towards Potential Geothermal Energy Exploration”, Eng 4 (3), https://doi.org/10.3390/eng4030104

4. T Ali, S Ahmed, M Aslam (2023), “Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation”, Antibiotics

Impact Factor: 4.8, https://doi.org/10.3390/antibiotics12030523

5. T Ali, MN Eldin, W Haider (2023), “The Effect of Soil-Structure Interaction on the Seismic Response of Structures Using Machine Learning, Finite Element Modeling and ASCE 7-16 Methods” Sensors

Impact Factor: 3.9, https://doi.org/10.3390/s23042047

6. M Noureldin, T Ali, J Kim (2023), “Machine learning-based seismic assessment of framed structures with soil-structure interaction”, Frontiers of Structural and Civil Engineering

Impact Factor: 3.0, https://doi.org/10.1007/s11709-022-0909-y

1. T Ali, W Haider, N Ali, M Aslam (2022), “A Machine Learning Architecture Replacing Heavy Instrumented Laboratory Tests: In Application to the Pullout Capacity of Geosynthetic Reinforced Soils”, Sensors

Impact Factor: 3.9, https://doi.org/10.3390/s22228699

2. T Ali, J Lee, RE Kim (2022), “Machine learning tool to assess the earthquake structural safety of systems designed for wind: In application of noise barriers”, Earthquakes and Structures

Impact Factor: 1.5, https://doi.org/10.12989/eas.2022.23.3.315

3. C Yoo, A Tabish, JW Yang, Q Abbas, JS Song (2022), “Effect of internal drainage on deformation behavior of GRS wall during rainfall”, Geosynthetics International

Impact Factor: 4.5, https://doi.org/10.1680/jgein.21.00015

1. C Yoo, T ALI (2020), “Variation of Pull-out Resistance of Geogrid with Degree of Saturation of Soil”, Journal of the Korean Geosynthetics Society, https://doi.org/10.12814/jkgss.2020.19.1.001

1. C Yoo, SA HAIDER, J Yang, T ALI (2019), “Development of AI-based Prediction and Assessment Program for Tunnelling Impact”, Journal of the Korean Geosynthetics Society, https://doi.org/10.12814/jkgss.2019.18.4.039 

1. T Ali, RE Kim, "A Vision-Based Computational Forensics Framework for Structural Material Property Identification", Engineering Mechanics Institute, Anaheim, California, USA, May 2025

2. T Ali, RE Kim, “Development of a Computational Forensics Framework for Material Identification of RC Structures: A Vision-based Approach”, The 3rd SKY Retreat, High-1 Resort Gangwon-do, South Korea, February 2025 (Grand Prize for Outstanding Oral Presentation)

1. T Ali, RE Kim, “Development of a Computational Forensics Framework for Identifying Structural Material Properties in Reinforced Concrete Structures Using DIC and FEMU”, 4th IABSE Young Engineers Colloquium in East Asia, PolyU, Hong Kong, Dec. 2024

2. T Ali, RE Kim,  “Advanced Computational Forensics for Structural Material Identification of Reinforced Concrete Beams”, The 8th Asia-Pacific Symposium on Structural Reliability and Its Applications (APSSRA), Ulsan, South Korea, Sep. 2024, https://apssra2024.kr/ 

3. T Ali, RE Kim, “As-built Condition assessment of a reinforced concrete structure using Digital Image Correlation Technique”, Earthquake Engineering Society of Korea (EESK) 2024 Workshop and Conference, Jeju, South Korea, September 2024

4. T Ali, RE Kim, “FORENSIC TECHNIQUE FOR STRUCTURAL MATERIAL IDENTIFICATION OF REINFORCED CONCRETE STRUCTURES USING 2D DIC AND METAHEURISTIC OPTIMIZATION”, Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC 2024) — (ASCE), Chicago, Illinois, USA, May 2024 

5. T Ali, RE Kim, “Advanced Computational Forensics for Structural Material Identification of Reinforced Concrete Beams”, Korea Institute for Structural Maintenance and Inspection, Phoenix Jeju, South Korea, April 2024

1. T Ali, RE Kim, “Forensic Analysis of Concrete Structures in Real and Synthetic Environments using Digital Image Correlation”, SKY Retreat, Vivaldi Park Gangwon-do, South Korea, January 2023

1. SH Song, T Ali, RE Kim, “A Long Short-Term Memory-Based Algorithm for Seismic Response Prediction Using Structural and Material Parameters”, Engineering Mechanics Institute, Baltimore, Maryland, USA, June 2022

1. T Ali, RE Kim, “A Machine Learning Framework for the Design Assessment of Noise Barriers considering Dynamic Interaction”, Korea Institute for Structural Maintenance and Inspection, Phoenix Jeju, South Korea, November 2021

2. T Ali, RE Kim, “Optimized Multilayer Perceptrons to Predict the Dynamic Response of Buildings”, Korea Institute for Structural Maintenance and Inspection, Busan, South Korea, June 2021

1. T Ali, JW Yang, SA Haider, CS Yoo, “Effect of Elevated Temperature on the Pull-out Capacity of Geogrid Installed in Saturated Weathered Granite Soil” 한국지반신소재학회 학술발표회, South Korea, October 2019, https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE10486076 (Best Conference Presentation Award)

2. SA Haider, T Ali, JW Yang, CS Yoo. “Development of GIS-ANN Tunneling Impact and Damage Assessment System”, 한국지반신소재학회 학술발표회, Seoul, South Korea, October 2019 https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE10486069