Azal Ahmad Khan

I am an incoming first-year PhD student in Computer Science and Engineering at the University of Minnesota. At UMN, I am fortunate to be co-advised by Dr. Ali Anwar and Dr. Jon Weissman. My research is partially funded by the Departmental GAGE Fellowship. Prior to joining UMN, I spent four beautiful years completing undergraduate studies at the Indian Institute of Technology (IIT) Guwahati, India.

During my undergraduate studies, I worked with Dr. Debanga Raj Neog on my Bachelor Thesis on Large Language Models (LLMs). I also worked with Dr. Ali Anwar on Personalization and Optimization in Federated Learning, and with Dr. Rohitash Chandra on ML and optimization.

My current research focuses on the alignment of LLMs, including their applications and multi-objective alignment. I am also working on reasoning in LLMs. Additionally, I am working on developing LLM agents designed to assist software engineers in their daily tasks. More updates on this will be shared soon.

Research Interest: User-aligned Foundation Models, Machine Learning Systems

Email / LinkedIn / Google Scholar / Twitter / CV

Feel free to contact me via email.

News

Feb 10, 2024	Paper on Federated Learning accepted at `ACM EuroSys 2024`🎊.
Feb 3, 2024	Attended `Google Research Week 2024` at Google Research India, Bengaluru.
Jan 12, 2024	Journal paper on `Metaheuristic Optimization` accepted at Recent Advances in Algorithms for Swarm Systems🥳.
Dec 10, 2023	Journal paper on `Ensemble Learning` accepted at Expert Systems With Applications🥳.
Oct 8, 2023	I’ll be reviewing for `GenBio-NeurIPS 2023`🎊. Looking forward to a new experience😊.
Aug 1, 2023	Started working on my bachelor thesis under `Dr. Debanga Raj Neog`🎊.
Apr 15, 2023	Paper on `Personalized and Incentivized Federated Learning` out on arXiv🥳.
Apr 6, 2023	Paper on `Data Augmentation and Class Imbalance` out on arXiv🥳.
Dec 17, 2022	Paper on `Balanced Split` out on arXiv🥳.
Jun 1, 2022	Started working as a Research Intern at `Van Dijk Lab, Yale`🎊.

Selected Publications

ACM EuroSys ’24

FLOAT: Federated Learning Optimizations with Automated Tunnings

Ahmad Faraz Khan, Azal Ahmad Khan, Samuel Fountain, Ahmed M. Abdelmoniem, Ali Butt, and Ali Anwar

ACM EuroSys 2024 Feb 2024

RAASS

A quantum-inspired predator-prey algorithm for real-parameter optimization

Azal Ahmad Khan, Salman Hussain, and Rohitash Chandra

Recent Advances in Algorithms for Swarm Systems Jan 2024

Bib Paper Code

@article{khan2024quantum,
  title = {A quantum-inspired predator-prey algorithm for real-parameter optimization},
  author = {Khan, Azal Ahmad and Hussain, Salman and Chandra, Rohitash},
  journal = {Recent Advances in Algorithms for Swarm Systems},
  year = {2024},
  month = jan,
  paper = {https://www.mdpi.com/1999-4893/17/1/33},
}

Under review

PI-FL: Personalized and Incentivized Federated Learning

Ahmad Faraz Khan, Xinran Wang, Qi Le, Azal Ahmad Khan, Haider Ali, Jie Ding, Ali Anwar, and Ali Butt

Under review at ICML 2024 Apr 2024

arXiv Bib

@article{khan2024pifl,
  title = {PI-FL: Personalized and Incentivized Federated Learning},
  author = {Khan, Ahmad Faraz and Wang, Xinran and Le, Qi and Khan, Azal Ahmad and Ali, Haider and Ding, Jie and Anwar, Ali and Butt, Ali},
  journal = {Under review at ICML 2024},
  year = {2024},
  month = apr,
}

ESWA

A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation

Azal Ahmad Khan, Omkar Chaudhari, and Rohitash Chandra

Expert Systems With Applications Dec 2023

arXiv Bib Code

@article{khan2023ensemble,
  title = {A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation},
  author = {Khan, Azal Ahmad and Chaudhari, Omkar and Chandra, Rohitash},
  journal = {Expert Systems With Applications},
  year = {2023},
  month = dec,
}