نیما خان
نیما خان
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    • Resume
    • Algorithms + Codes
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    • Videos
    • Contact Me
  • Home
  • Resume
  • Algorithms + Codes
  • Publications
  • Software
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  • Videos
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NIMA KHODADADI

NIMA KHODADADI NIMA KHODADADI NIMA KHODADADI

University of California, Berkeley

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ABOUT ME

NIMA KHODADADI

NIMA KHODADADI NIMA KHODADADI NIMA KHODADADI

University of California, Berkeley

DOWNLOAD CV
ABOUT ME

Crushed, but not defeated—now it’s my move

یا پدر من

Co-Authors

Khalid M Mosalam
Antonio Nanni
Ali Kaveh
Seyedali Mirjalili
Valav Snasel
Siamak Talatahari
  • Valav Snasel
  • Siamak Talatahari
  • Khalid M Mosalam
  • Antonio Nanni
  • Ali Kaveh
  • Seyedali Mirjalili
  • Valav Snasel
  • Siamak Talatahari
  • Khalid M Mosalam
  • Antonio Nanni

About me

Nima is a Pacific Earthquake Engineering Research Center (PEER) postdoctoral scholar at the University of California, Berkeley, conducting research in the Structural Artificial Intelligence Research Lab, an active research group working at the intersection of artificial intelligence and structural health monitoring (SHM), under the supervision of Professor Dr. Khalid Mosalam. He obtained his  2nd Ph.D. degree at the University of Miami (UM), working under the esteemed mentorship of Professor  Dr. Antonio Nanni. He holds a bachelor's degree in civil engineering and a master's degree in structural and civil engineering from the University of Tabriz, one of Iran's top ten universities, under the guidance of Dr. Siamak Talatahari. He earned his first Ph.D. at the Iran University of Science and Technology (IUST) with distinguished professor  Dr. Ali Kaveh, focusing on steel structures, particularly in the experimental and numerical investigation of steel-braced frames.

Nima has been actively involved in engineering optimization, specializing in evolutionary algorithms with Professor Dr. Seyed Ali Mirjalili.  His primary research interests include artificial intelligence (AI), machine learning, fiber-reinforced polymers (FRP), concrete, and metaheuristic algorithms. His work addresses single- and multi-objective engineering optimization, particularly solving large-scale and practical structural design problems. Recently, he has focused on AI techniques and applications for FRP-integrated concrete structures. His steadfast dedication has resulted in over 70 peer-reviewed publications, more than 2,800 citations, and an H-index of 34. His research interests also include Optimization, Swarm Intelligence, Evolutionary Algorithms, and Machine Learning.  


Find My Publications in the Following Platforms

Journals Editor

 

  • Editor Board: Journal of Artificial Intelligence and Metaheuristics
  • Guest Editor: Intelligent Automation & Soft Computing (Issues: Optimization Agorithm for Intelligent Computing Application)
  • Guest Editor: Computers, Materials & Continua (Issues: Optimization for Artificial Intelligence Application)
  • Big Data, AI, and the Environment (specialty section of Frontiers in Environmental Science

Journals Reviewer

  • PLOS ONE
  • Scientific Reports
  • CMC-Computers, Materials, and Continua
  • Computational Intelligence and Neuroscience
  • CMC-Computers, Materials, and Continua
  • Decision Analytics Journal
  • ACI 130-00 Committee Member- Sustainability of Concrete
  • Student Representative on the Student Affairs Committee at the University of Miami

  • IEEE Access
  • Neurocomputing
  • Intelligent Automation & Soft Computing
  • Frontiers in Energy Research
  • Computer Systems Science and Engineering
  • Artificial Intelligence Revie
  • ACI 243 Committee Member-Sea Water Concrete
  • ACI 440-0G Committee Member- FRP
  • Student Representative on the Board of Trustees at the University of Miami 

  • E-Board of ACI’s Task Group on Artificial Intelligence
  • ACI 135 Committee Voting Member- Machine Learning-Informed Construction and
  • Design
  •  E-Board of Graduate Student Association (GSA) at the University of Miami
  • ACI 440-00 Committee Member- Fiber Reinforce
  • Student Representative on the Faculty Committee at the University of Miami


Latest News

SEI Young Professional Scholarship

  • I have been awarded the SEI Young Professional Scholarship by the American Society of Civil Engineers. This scholarship, presented by the SEI Young Professionals Committee and the SEI Futures Fund, supports early-career structural engineers by providing opportunities to grow professionally and connect with leaders in the field at Structures Congress.

Read more


Outstanding Student Scholarship Award

  • I’m honored to receive the  Civil and & Architectural Engineering (CAE) Outstanding Student Scholarship Award in recognition of my scholarly research, including publications and citations in high-impact journals.

Nima Khodadadi

Frederick Palmer Prize

  • Thrilled to share that our research ANNA: Advanced Neural Network Algorithm for Optimisation of Structures, has been awarded the 2025 Frederick Palmer Prize by the Institution of Civil Engineers (ICE)!

    Established in 1818, ICE is one of the world’s oldest professional engineering bodies, with over 200 years of history in setting high standards and promoting excellence in civil engineering. This prestigious award recognizes outstanding contributions to the field.

New Publications

  • Predictive and experimental assessment of chloride ion permeation in concrete subjected to multi-factorial conditions using the XGBoost algorithm
  • Explainable prediction model for punching shear strength of FRP-RC slabs based on kernel density estimation and XGBoost
  • Enhancing bond strength prediction at UHPC-NC interface: A data-driven approach with augmentation and explainability

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.

Nima Khodadadi

Emerging Leaders Alliance

Young Professionals represented the American Concrete Institute during the Emerging Leaders Alliance (ELA) conference in September 2024 in Pittsburgh, PA, USA.

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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.

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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

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Nima Khodadadi

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

Watch now

New Publications

  • Fiber-reinforced polymer (FRP) in concrete: A comprehensive survey


  • Novel hybrid classifier based on fuzzy type-III decision maker and ensemble deep learning model and improved chaos game optimization


  • Multi-objective generalized normal distribution optimization: a novel algorithm for multi-objective problems

Nima Khodadadi; EMI

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."

More information

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 Publications

  • Data-Driven PSO-CatBoost Machine Learning Model to Predict the Compressive Strength of CFRP-Confined Circular Concrete Specimens
  • Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning

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. 

Watch now

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... 


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Nima Khodadadi

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

Watch now

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. ..

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Web of Science

1: Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems

2: Dynamic Arithmetic Optimization Algorithm for Truss Optimization Under Natural Frequency Constraints

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.

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