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Kazem Meidani

Ph.D. Student
Carnegie Mellon University
mmeidani@andrew.cmu.edu


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 Language Models and AI for Science. Most of my works fall into one of the following categories:

Publications

  1. arXiv
    LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
    Parshin Shojaee*, Kazem Meidani*, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy (*Equal Contribution)
    arXiv Preprint
    PDF New

  2. 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

  3. 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

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

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

  6. 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

  7. 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

  8. 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

  9. 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)

  10. ACS Appl. Nano Mater.
    Titanium Carbide MXene for Water Desalination: A Molecular Dynamics Study
    Kazem Meidani*, Zhonglin Cao*, Amir Barati Farimani (*Equal Contribution)
    ACS Applied Nano Materials (ACS Appl. Nano Mater.), 2021.
    PDF

  11. Additive Manufacturing
    MeltpoolNet: Melt pool characteristic prediction in Metal Additive Manufacturing using machine learning
    Parand Akbari, Francis Ogoke, Ning-Yu Kao, Kazem Meidani, Chun-Yu Yeh, William Lee, Amir Barati Farimani
    Additive Manufacturing, 2022.
    PDF

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

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

  14. 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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