Mehdi Yazdani-Jahromi

Hello, I’m Mehdi Yazdani-Jahromi, an AI Ph.D. Researcher at the University of Central Florida and a dedicated Graduate Research Assistant. My research primarily revolves around the dynamic fields of computer vision, drug discovery, and graph neural networks. My work has been recognized in prominent conferences such as AAAI and Neurips, where I have contributed my insights and findings to the broader AI community.

My journey in AI research is marked by significant achievements. Recently, I was honored with the $30,000 Amazon Research Credit Award for my project CoViT and received the prestigious Outstanding Graduate Fellowship at UCF. These awards are a testament to my commitment and the impact of my research in AI. I am particularly interested in leveraging AI to transform healthcare, with a focus on drug target interactions and the advancement of computer vision technologies. My goal is to continue contributing innovative solutions and insights in AI, driven by the potential to revolutionize healthcare and technology through intelligent systems.

News

Sep 25, 2024	Our paper, “Fair Bilevel Neural Network (FairBiNN): On Balancing Fairness and Accuracy via Stackelberg Equilibrium,” has been accepted to NeurIPS 2024. We introduce a novel bilevel optimization approach to enhance fairness in machine learning, achieving superior results on key datasets.
Apr 20, 2024	I will be presenting our work at RECOMB 2024 in Cambridge Boston at MIT campus! Join me on the 30th of April from 14:00 - 14:55 as I present our paper titled “FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation.”
Dec 22, 2023	Thrilled to announce that our paper (FragXsiteDTI) has been accepted at RECOMB 2024, following its acceptance at the NeurIPS 2023 AI for Drug Discovery and Development Workshop!
Dec 11, 2023	We are excited to unveil DeepDrugDomain, an advanced Python toolkit tailored for enhancing drug-target interaction and drug-target affinity prediction through deep learning. GitHub Link

Latest Posts

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Selected Publications

Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium

Mehdi Yazdani-Jahromi , Ali Khodabandeh Yalabadi , AmirArsalan Rajabi , and 3 more authors

Neurips 2024, 2024

Bib

@article{yazdani2024fair,
  title = {Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium},
  author = {Yazdani-Jahromi, Mehdi and Yalabadi, Ali Khodabandeh and Rajabi, AmirArsalan and Tayebi, Aida and Garibay, Ivan and Garibay, Ozlem Ozmen},
  journal = {Neurips 2024},
  url = {https://arxiv.org/abs/2410.16432},
  year = {2024}
}

HELM: Hierarchical Encoding for mRNA Language Modeling

Mehdi Yazdani-Jahromi , Mangal Prakash , Tommaso Mansi , and 2 more authors

arXiv preprint arXiv:2410.12459, 2024

Bib

@article{yazdani2024helm,
  title = {HELM: Hierarchical Encoding for mRNA Language Modeling},
  author = {Yazdani-Jahromi, Mehdi and Prakash, Mangal and Mansi, Tommaso and Moskalev, Artem and Liao, Rui},
  journal = {arXiv preprint arXiv:2410.12459},
  url = {https://arxiv.org/abs/2410.12459},
  year = {2024}
}

FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation

Ali Khodabandeh Yalabadi , Mehdi Yazdani-Jahromi , Niloofar Yousefi , and 3 more authors

In International Conference on Research in Computational Molecular Biology , 2024

Bib

@inproceedings{khodabandeh2024fragxsitedti,
  title = {FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation},
  author = {Khodabandeh Yalabadi, Ali and Yazdani-Jahromi, Mehdi and Yousefi, Niloofar and Tayebi, Aida and Abdidizaji, Sina and Garibay, Ozlem Ozmen},
  booktitle = {International Conference on Research in Computational Molecular Biology},
  url = {https://arxiv.org/abs/2311.02326},
  pages = {68--85},
  year = {2024},
  organization = {Springer}
}

AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification

Mehdi Yazdani-Jahromi , Niloofar Yousefi , Aida Tayebi , and 4 more authors

Briefings in Bioinformatics, 2022