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Kazem Meidani

Ph.D. Student
Carnegie Mellon University
mk.meydani@gmail.com


Biography

I am a senior PhD candidate at Carnegie Mellon University. I am a graduate research assistant in the Mechanical and Artificial Intelligence Lab (MAIL), advised by Amir Barati Farimani. During my PhD, I also spent summer internships at Netflix Research and Electronic Arts as AI Research Scientist Intern.

Research Interests

My primary research interests revolve around Large Language Models and AI for Science. Most of my works fall into one of the following categories:

Publications

  1. ICML
    LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
    Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D Doan, Chandan K Reddy
    International Conference on Machine Learning (ICML), 2025.
    PDF Oral (top 1%)

  2. ICLR
    LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
    Kazem Meidani*, Parshin Shojaee*, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy (*Equal Contribution)
    International Conference on Learning Representations (ICLR), 2025.
    PDF Oral (top 1.8%)

  3. ICLR
    SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
    Kazem Meidani*, Parshin Shojaee*, Chandan K. Reddy, Amir Barati Farimani(*Equal Contribution)
    Twelfth International Conference on Learning Representations (ICLR), 2024.
    PDF Spotlight (top 5%)

  4. NeurIPS
    Transformer-based Planning for Symbolic Regression
    Kazem Meidani*, Parshin Shojaee*, Amir Barati Farimani, Chandan K. Reddy (*Equal Contribution)
    Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
    PDF BibTex

  5. TMLR
    Transformer for Partial Differential Equations' Operator Learning
    Zijie Li, Kazem Meidani, Amir Barati Farimani
    Transactions on Machine Learning Research (TMLR), 2023.
    PDF BibTex

  6. ESwA
    Identification of Parametric Dynamical Systems using Integer Programming
    Kazem Meidani, Amir Barati Farimani
    Expert Systems with Applications (ESwA), 2023.
    PDF

  7. CMAME
    Data-driven identification of 2D Partial Differential Equations using extracted physical features
    Kazem Meidani, Amir Barati Farimani
    Computer Methods in Applied Mechanics and Engineering (CMAME), 2021.
    PDF BibTex

  8. JCP
    Graph neural networks accelerated molecular dynamics
    Zijie Li, Kazem Meidani, Prakarsh Yadav, Amir Barati Farimani
    The Journal of Chemical Physics (JCP), 2022.
    PDF BibTex

  9. MLST
    Graph convolutional networks applied to unstructured flow field data
    Francis Ogoke, Kazem Meidani, Amirreza Hashemi, Amir Barati Farimani
    Machine Learning Science and Technology (MLST), 2021.
    PDF BibTex

  10. LION
    Inverse Lighting with Differentiable Physically-Based Model
    Kazem Meidani, Igor Borovikov, Amir Barati Farimani, Harold Chaput
    The 17th Learning and Intelligent Optimization Conference (LION), 2023.
    Work from Internship at Electronic Arts (EA)

  11. ESwA
    Online Metaheuristic Algorithm Selection
    Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani
    Expert Systems with Applications (ESwA), 2022.
    PDF

  12. ASC
    MAB-OS: Multi-Armed Bandits Metaheuristic Optimizer Selection
    Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani
    Applied Soft Computing (ASC), 2022.
    PDF

  13. NCAA
    Adaptive grey wolf optimizer
    Kazem Meidani, AmirPouya Hemmasian, Seyedali Mirjalili, Amir Barati Farimani
    Neural Computing and Applications, 2022.
    PDF

Professional Services

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