Ali Asghar Heidari
Ali Asghar Heidari is a researcher in artificial intelligence and image processing. During high school in Iran in the early 2000s, he read about MIT and dreamed of studying there. His work included a chaotic water-cycle optimizer, a grey-wolf method, and grasshopper-based neural-network training; in 2019, he coauthored Harris Hawks Optimization while interning at NUS. He coauthored a PM2.5 prediction system in 2022, and researchers applied Harris Hawks Optimization to a maximum-cut problem in 2024. As of October 2026, he is a researcher affiliated with the University of Tehran in artificial intelligence and image processing.
- Now at
- University of Tehran
- Works
- 422
- Citations
- 37,051
- h-index
- 93
- Rankings
- #55 by h-index since 2021
- Badges
Publication numbers from OpenAlex, as of 18 October 2026.
Timeline
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Early 2000s
Reading about MIT
As a high-school student in Iran in the early 2000s, he reads about MIT in science magazines and dreams of studying there.
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2015–2017
Early optimization algorithms
In 2015, he coauthors a chaotic water-cycle algorithm for optimization tasks; in 2017, he coauthors a modified grey-wolf optimizer with Lévy flight.
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2019
Grasshopper training for neural networks
In 2019, he and three coauthors use the grasshopper optimization algorithm to train multilayer perceptrons on five datasets, including breast cancer, Parkinson, diabetes and coronary heart disease.
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2019
Research internship at NUS
In 2019, he takes a research internship in the School of Computing at the National University of Singapore.
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2019
Harris Hawks Optimization
In 2019, he and coauthors propose Harris Hawks Optimization, a gradient-free method with time-varying exploration and exploitation phases inspired by cooperative hawk hunting.
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2022
PM2.5 prediction
In 2022, he coauthors a wavelet PM2.5 prediction system using optimized kernel extreme learning with Boruta-XGBoost feature selection.
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2024
Harris Hawks for maximum cut
In 2024, researchers use Harris Hawks Optimization, proposed by Heidari and coauthors in 2019, to solve a maximum-cut problem.
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As of October 2026
Researcher at the University of Tehran
As of October 2026, he is affiliated with the University of Tehran.
Career
- Since 2013University of TehranResearcher
- 2020–2026Wenzhou University
- 2019National University of SingaporeResearch Intern
Most-cited works
- Harris hawks optimization: Algorithm and applications
- Slime mould algorithm: A new method for stochastic optimization
- RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method
- RIME: A physics-based optimization
- Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
Sources and credits
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- Sanctions drive Iranian students away from US, UK and towards Asia
- Publication List of Ali Asghar Heidari
- An efficient hybrid multilayer perceptron neural network with grasshopper optimization
- Harris Hawks Optimization (HHO): Algorithm and Applications
- Solving the maximum cut problem using Harris Hawk Optimization algorithm
- Heidari, Ali Asghar, University of Tehran | TOPSCINET

