Welcome to my personal page!

NEWS I and my colleagues (Jana Doppa, Aryan Deshwal, Minh Hoang) will give a tutorial on Black-Box Optimization with Offline Datasets at AAAI-26.

NEWS A paper on Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge has been accepted for publication as spotlight in NeurIPS-25. This is led by my PhD student Hung Tran and undergaduate mentee Cuong Dao. Congrats Hung and Cuong!

NEWS A paper on Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data has been accepted for publication in NeurIPS-25. This is led by my mentee Duong Nguyen. Congrats Duong!

NEWS A paper on Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data has been accepted for publication in ICCV-25. This is led by my mentees Hang Phung and Duong Nguyen. Congrats Hang and Duong!

NEWS A paper on Federated Learning with Sparse and Scarce Data has been accepted for publication in IEEE Transactions on Computers. This is led by my mentee Hung Nguyen. Congrats Hung!

NEWS A paper on Probabilistic Federated Prompt-Tuning has been accepted for publication in NeurIPS-24. This is led by my PhD student Pei-Yau Weng. Congrats Pei-Yau!

NEWS A paper on Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques has been accepted for publication in NeurIPS-24. This is (again) led by my undergraduate mentee Cuong Dao. Congrats Cuong!

NEWS A paper on Boosting Offline Optimizers with Surrogate Sensitivity has been accepted for publication in ICML-24. This is led by my undergraduate mentee Cuong Dao. Congrats Cuong!

NEWS A paper on Learning Surrogates for Offline Black-Box Optimization via Gradient Matching has been accepted for publication in ICML-24. This is led by my PhD student Azza Fadhel and collaborator Minh Hoang. Congrats Minh and Azza!

NEWS A paper on Revisting Kernel Attention with Correlated Gaussian Process Representation has been accepted for publication in UAI-24. This is led by my PhD student Long Bui. Congrats Long!

NEWS I and my colleagues (Jana Doppa, Yan Yan, Ganapati Bhat, Taha Belkhouja) have given a tutorial on Advances in Robust Time-Series ML at AAAI-24.

I am currently a tenure-track Assistant Professor at the School of Electrical Engineering and Computer Science, Washington State University.

Prior to my current appointment, I was a Senior Research Scientist at the AWS AI Labs, Amazon (2020-2022) in Santa Clara, CA.

Before Amazon, I was a Research Staff Member of the MIT-IBM Watson AI Lab, IBM Research in Cambridge, MA (2018-2020).

Before IBM, I was a Postdoctoral Research Associate at the Laboratory for Information and Decision Systems (LIDS), MIT (2017-2018).

Prior to MIT, I was a Research Fellow at National University of Singapore (2015-2017) where I earned my PhD degree in Machine Learning (2010-2015).

My PhD adviser is Associate Professor Kian Hsiang Low.