Co-Authors
Find My Publications in the Following Platforms
Latest News
Presentations at ACI
Thrilled to share that I recently presented at the American Concrete Institute conference!
It was an incredible experience discussing how AI can make a change in civil engineering. Presenting among experts in the field and exchanging insights was truly inspiring.
Emerging Leaders Alliance
Young Professionals represented the American Concrete Institute during the Emerging Leaders Alliance (ELA) conference in September 2024 in Pittsburgh, PA, USA.
Presentations
I'm thrilled to share that I will be presenting at the upcoming CAMX - The Composites and Advanced Materials Expo conference, where I will deliver one presentation and showcase two poster presentations! This is a fantastic opportunity to discuss my recent work on machine learning models and advanced computational techniques in engineering.
Presentations
I am thrilled to inform that I have two presentations at ASCE Florida Section 2024 Annual Conference.
- Optimizing Truss Structures Using Composite Materials under Natural Frequency Constraints with a New Hybrid Algorithm Based on Cuckoo Search and Stochastic Paint Optimizer (CSSPO).
- Development of an ANN-based Predictive Model for GFRP-CC Compressive Strength Using Five Metaheuristic Optimization Algorithms and Analysis of Influencing Factors .
New Award
I am thrilled to inform that I have been selected as the 2024 recipient of the prestigious John Ries Scholarship! On behalf of the Expanded Shale, Clay, and Slate Institute
ACI's website Presentation
Machine Learning Approach for the Flexural Strength of 3D-Printed Fiber-Reinforced Concrete (3DP-FRC) Based on the Meta-heuristic Algorithm with Sensitivity Analysis
New Publications
Presentations at EMI
If you are attending EMI/PMC 2024 (EMI - Engineering Mechanics Institute). I will be presenting three papers during the conference. I am also honored to chair the session "0121: Contributions of high-performing lightweight materials to sustainable development and infrastructure resilience of engineering systems."
New Award
I'm very pleased and honored to have been awarded the Academic Excellence, Leadership, and Service Award (AELS) for the second time at the University of Miami.
I want to give special thanks to the Graduate Student Association (GSA), my advisor, Prof. Antonio Nanni, and Dr. Francisco De Caso, who have always helped me.
This scholarship awards monetary support to a select group of outstanding graduate students, excelling in the areas of scholarship, leadership, and service.
New Award
I am thrilled to announce that I have been awarded the ACI Fellowship! Special. Thanks American Concrete Institute & ACI Foundation. This wouldn't have been possible without the guidance and support of my advisor, Prof. Antonio Nanni. I am deeply grateful for his mentorship and encouragement throughout this journey.
Special thanks also go to Dr. Francisco De Caso, Prof. Seyedali Mirjalili, Dr. Prannoy Suraneni, Dr. El-Sayed M. El-kenawy, Dr. Laith Abualigah for their invaluable recommendations and unwavering support. Your belief in me has truly made a difference.Special thanks to all my colleagues at UMiami College of Engineering.
Here's a video sharing the story behind my dream and journey: https://lnkd.in/esivhJwG
I am humbled and honored to receive this recognition, and I look forward to continuing my research and contributing to the field. Thank you to everyone who has been a part of this incredible experience!
New Award
I am thrilled and humbled to share that I have been honored as the Graduate Student of the Year at the University of Miami, receiving the prestigious Toppel Career Center Award.
New Publication
- The novelty of this article lies in introducing a novel stochastic technique named the Hippopotamus Optimization (HO) algorithm. The HO is conceived by drawing inspiration from the inherent behaviors observed in hippopotamuses, showcasing an innovative approach in metaheuristic methodology.
The HO is conceptually defined using a trinary‐phase model that incorporates their position updating in rivers or ponds, defensive strategies against predators, and evasion methods, which are mathematically formulated.
Scholarship award
We are excited to announce that being selected to receive the SEI Futures Fund Student Scholarship to participate at SEICon24 March 19-22 along with the broader NASCC in San Antonio, Texas!
Seminar Speaker
We are excited to announce that the next speaker in the CAE Spring 2024 Seminar Series will be Nima Khodadadi, PhD student, Civil & Architectural Engineering at the University of Miami. Please note that this is a joint CAE seminar, mandatory for all CAE PhD students. The talk is titled “Data-Driven PSO-CatBoost Machine Learning Model to Predict the Compressive Strength of CFRP-Confined Circular Concrete Specimens” and will take place through Zoom on Friday, Feb 2 at 11: 00 AM.
New Publication
Puma Optimizer (PO) is proposed as a new optimization algorithm inspired from the intelligence and life of Pumas in. In this algorithm, unique and powerful mechanisms have been proposed in each phase of exploration and exploitation, which has increased the algorithm's performance against all kinds of optimization problems. In addition, a new type of intelligent mechanism, which is a type of hyper-heuristic for phase change, is presented (PI)
Wulkan Family American Public Transportation Foundation Endowed Scholarship 2023-2024
Wulkan Family American Public Transportation Foundation Endowed Scholarship Fund is awarded to a graduate student that excels in the field of public transportation. The winner is awarded with educational stipend; appropriate recognition in APTA website; paid travel expenses and attendance fees to one APTA annual convention; and an industry mentor.
National Science Foundation INTERN Award
“With such big data sets, we need to apply machine learning and AI algorithms to find the most sustainable solutions,” Khodadadi said. “Since concrete produces more than 8 percent of the world’s carbon dioxide emissions, civil engineers have an excellent opportunity to contribute to sustainability on a global basis.”A native of Iran, Khodadadi earned a bachelor's degree in civil engineering and a master's degree in structural civil engineering from the University of Tabriz. He obtained his first Ph.D. in artificial intelligence at the Iran University of Science and Technology, one of the nation’s top universities. To date, he has written more than 50 papers and 10 book chapters relating to concrete and sustainability, including three since coming to the U.S. last year...
Speaking at ACI
- We are very happy to share that we will be showcasing our newest endeavor at the University of Miami during the American Concrete Institute convention at the Boston Convention Center.
We will be presenting twice at the ACI. Here are the details:
1. Sunday, October 29, 2023, 10:30 AM - 12:30 PM, W-Marina Ballroom I.
- Title: Meta-Heuristic Optimization: Effective Machine Learning Techniques for Concrete Structures.
- Link: https://lnkd.in/eiDByqS8
2. Tuesday, October 31, 2023, 1:30 PM - 3:30 PM, W-Marina Ballroom II.
- Title: PSO-CatBoost Machine Learning Model to Predict the Compressive Strength of CFRP-Confined Circular Concrete Columns.
- Link: https://lnkd.in/ejvzA5Sq
New Publication
Nature-inspired metaheuristic approaches draw their core idea from biological evolution in order to create new and powerful competing algorithms. Such algorithms can be divided into evolution-based and swarm-based algorithms. This paper proposed a new nature-inspired optimizer called the Greylag Goose Optimization (GGO) algorithm. The proposed algorithm (GGO) belongs to the class of swarm-based algorithms and is inspired by the Greylag Goose. Geese are excellent flyers and during their seasonal migrations, they fly in a group and can cover thousands of kilometers in a single flight. ..
New Publication
An original swarm-based, bio-inspired metaheuristic algorithm, named electric eel foraging optimization (EEFO) is developed and tested in this work. EEFO draws inspiration from the intelligent group foraging behaviors exhibited by electric eels in nature. The algorithm mathematically models four key foraging behaviors: interaction, resting, hunting, and migration, to provide both exploration and exploitation during the optimization process. In addition, an energy factor is developed to manage the transition from global search to local search and the balance between exploration and exploitation in the search space. EEFO reveals various foraging patterns based on the foraging characteristics of electric eels. In this study, such dynamic patterns and behaviors are mathematically imitated to design an effective global optimizer.