| Aug 15, 2025 |
 Excited to Join Google!
Thrilled to announce that I'm starting my Software Engineering Intern PhD at Google, Mountain View!  
I'll be working on foundation models for video pre-processing regression tasks, including denoising, super-resolution, smart downscaling, and compression, mentored by Dr. Shan Li.  
Excited to contribute to the training of foundation models for YouTube video regression and work on creating pipelines to generate up to 1 million training data images for image-to-image regression tasks!  
Looking forward to this incredible opportunity to work on cutting-edge AI research at Google! 
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| Aug 10, 2025 |
 IBM Research Internship Completed!
Excited to share that I have successfully completed my Research Internship at IBM Research, Almaden! 
During my time at IBM Research, I worked on continual learning and targeted data generation for foundational models, mentored by Dr. Taiga Nakamura and Dr. Swanand Ravindra Kadhe. 
Key achievements include designing a post-training self-optimizing loop that increased training data to accuracy efficiency by 2.5×, contributing to IBM's Granite 4.0 model, and submitting 2 patents!  
Grateful for the incredible learning experience and looking forward to applying these insights in my future research!
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| Aug 05, 2025 |
Honored to Receive the Pratt Fellowship!
I am thrilled to announce that I have been awarded the Pratt Fellowship for Outstanding Graduate Research at Virginia Tech! 
This prestigious fellowship recognizes exceptional graduate research contributions and provides support for continued academic excellence. I am deeply grateful for this recognition and the opportunities it will provide to further my research in Machine Learning Systems and Federated Learning. 
Thank you to my advisor Dr. Ali R. Butt, my collaborators, and the Virginia Tech community for their continued support! 
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| Jul 31, 2025 |
Another Exciting Milestone!
Thrilled to share that my paper as first author, FLStore: A Cache for Non-Training Workloads in Federated Learning, has been accepted at MLSys 2025! 
A huge thank you to my incredible collaborators for their support and contributions. Looking forward to presenting this work and engaging in discussions at MLSys’25!
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| Jun 03, 2025 |
Exciting News!
Thrilled to share that my paper as first author, titled IP-FL: Incentive-driven Personalization in Federated Learning, has been accepted at IPDPS 2025! 
A huge thank you to all my amazing co-authors from UMN and VT for their incredible support and collaboration. 
Looking forward to presenting this work and continuing our research journey together!
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| Dec 16, 2024 |
 Our paper DynamicFL: Federated Learning with Dynamic Communication Resource Allocation! has been selected as the Best Paper at IEEE BigData 2024!
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| Dec 15, 2024 |
Thrilled to share some exciting news!
4 new papers on Federated Learning and LLM Sycophancy have been published in BigData’24!
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| Feb 24, 2024 |
Serving on the external review committee for ATC 2024.
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| Feb 07, 2024 |
Thrilled to announce my paper has been accepted as the first author in EuroSys’24. A big shout-out to my co-authors Azal, Sam, and our team for the collaboration! 
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| Oct 27, 2023 |
Excited to share that our paper, with me as the lead author, has been accepted for publication at IEEE BigData’24. Immense gratitude to my co-authors Yuze and Xinran for their invaluable contributions!
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| Oct 20, 2023 |
Preprint released for incentivized personalization, now available on Arxiv!
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| Oct 20, 2023 |
Paper accepted at IEEE Access, congratulations to Haider and rest of the team!
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| Jul 10, 2022 |
Paper accepted at IEEE CLOUD, Congratulations Jingoo!
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| Jul 01, 2022 |
Workshop paper accepted at IEEE BigData, kudos to Jingoo for leading this work!
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