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D-Index & Metrics

Engineering and Technology

D-Index
72
Citations
23317
World Ranking
899
National Ranking
309

Overview

Amir H. Alavi is a researcher primarily affiliated with the University of Pittsburgh in the United States. Their scholarly output spans significant contributions in engineering and computer science, with a focus on multiple intersecting subfields including mechanical engineering, civil and structural engineering, artificial intelligence, biomedical engineering, and pollution.

Their research work covers several main topics, prominently:

  • Advanced Sensor and Energy Harvesting Materials
  • Structural Health Monitoring Techniques
  • Smart Materials for Construction
  • Infrastructure Maintenance and Monitoring
  • Advanced Materials and Mechanics
  • Cellular and Composite Structures
  • Metaheuristic Optimization Algorithms Research

Amir H. Alavi has published extensively, with recent papers including:

  • "Mechanical metamaterials and beyond" (2023) published in Nature Communications
  • "Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and Sciences" (2021) published in Architecture Structures and Construction
  • "Monarch butterfly optimization: A comprehensive review" (2020) published in Expert Systems with Applications
  • "Piezoelectric Sensing Techniques in Structural Health Monitoring: A State-of-the-Art Review" (2020) published in Sensors
  • "Elephant Herding Optimization: Variants, Hybrids, and Applications" (2020) published in Mathematics

Frequent coauthors in their body of work include:

  • Kaveh Barri
  • Qianyun Zhang
  • Pengcheng Jiao
  • Zhong Lin Wang

Amir H. Alavi's work appears regularly in several publication venues with multiple contributions, including:

  • Advanced Materials
  • Advanced Functional Materials
  • arXiv (Cornell University)
  • Scientific Reports
  • Artificial Intelligence Review

In the area of academic publishing beyond journals, Amir H. Alavi has contributed to books published by Springer Science+Business Media, including the title Disruptive Technologies for Big Data and Cloud Applications in 2022.

Their research integrates interdisciplinary efforts bridging advanced engineering principles with computational approaches, particularly in applying artificial intelligence methods to optimize and monitor structural and material performance.

Best Publications

  • Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems

    Amir Hossein Gandomi;Xin-She Yang;Amir Hossein Alavi

  • Krill herd: A new bio-inspired optimization algorithm

    Amir Hossein Gandomi;Amir Hossein Alavi

  • Machine learning in geosciences and remote sensing

    David J. Lary;Amir H. Alavi;Amir H. Gandomi;Annette L. Walker

  • Firefly algorithm with chaos

    Amir H. Gandomi;Xin-She Yang;Siamak Talatahari;Amir Hossein Alavi

  • Mixed variable structural optimization using Firefly Algorithm

    Amir Hossein Gandomi;Xin-She Yang;Amir Hossein Alavi

  • Bat algorithm for constrained optimization tasks

    Amir Hossein Gandomi;Xin-She Yang;Amir Hossein Alavi;Siamak Talatahari

  • Internet of Things-enabled smart cities: State-of-the-art and future trends

    Amir H. Alavi;Pengcheng Jiao;William G. Buttlar;Nizar Lajnef

  • Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and Sciences

    M. Z. Naser;Amir H. Alavi

  • Nonlinear Genetic-Based Models for Prediction of Flow Number of Asphalt Mixtures

    Amir Hossein Gandomi;Amir Hossein Alavi;Mohammad Reza Mirzahosseini;Fereidoon Moghadas Nejad

  • A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems

    Amir Hossein Gandomi;Amir Hossein Alavi

  • A robust data mining approach for formulation of geotechnical engineering systems

    Amir Hossein Alavi;Amir Hossein Gandomi

  • Metaheuristic Applications in Structures and Infrastructures

    Amir Hossein Gandomi;Xin-She Yang;Siamak Talatahari;Amir Hossein Alavi

  • 1 – Metaheuristic Algorithms in Modeling and Optimization

    Amir Hossein Gandomi;Xin-She Yang;Siamak Talatahari;Amir Hossein Alavi

  • An effective krill herd algorithm with migration operator in biogeography-based optimization

    Gai-Ge Wang;Amir H. Gandomi;Amir H. Alavi

  • Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing

    Amir Hossein Alavi;Amir Hossein Gandomi

  • Multi-stage genetic programming: A new strategy to nonlinear system modeling

    Amir Hossein Gandomi;Amir Hossein Alavi

  • A new predictive model for compressive strength of HPC using gene expression programming

    Seyyed Mohammad Mousavi;Pejman Aminian;Amir Hossein Gandomi;Amir Hossein Alavi

  • An evolutionary approach for modeling of shear strength of RC deep beams

    Amir Hossein Gandomi;Gun Jin Yun;Amir Hossein Alavi

  • Stud krill herd algorithm

    Gai-Ge Wang;Amir H. Gandomi;Amir H. Alavi

  • Chaotic cuckoo search

    Gai-Ge Wang;Suash Deb;Amir H. Gandomi;Zhaojun Zhang

  • Formulation of flow number of asphalt mixes using a hybrid computational method

    Amir Hossein Alavi;Mahmoud Ameri;Amir Hossein Gandomi;Mohammad Reza Mirzahosseini

Frequent Co-Authors

Amir H. Gandomi
Amir H. Gandomi University of Technology Sydney
Gai-Ge Wang
Gai-Ge Wang Ocean University of China
William G. Buttlar
William G. Buttlar University of Missouri
Xin-She Yang
Xin-She Yang Middlesex University
Siamak Talatahari
Siamak Talatahari University of Tabriz
Ziv Bar-Joseph
Ziv Bar-Joseph Carnegie Mellon University
Suash Deb
Suash Deb C. V. Raman Global University
Mohamed Abd Elaziz
Mohamed Abd Elaziz Ajman University of Science and Technology
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Sami F. Masri
Sami F. Masri University of Southern California

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