I am a tenure-track Assistant Professor at University of Central Florida, under the AI Initiative, with the joint appointment in the Department of ECE and CS. I obtained my Ph.D. degree in Electrical and Computer Engineering from Oregon State University, under the supervision of Dr. Xiao Fu. My research focus is in designing provable and efficient methods for various data-driven tasks in machine learning and AI. I also work in the fields of signal processing and optimization with applications of various structured factorization tools and related algorithm design.
Before joining PhD, I had interned with the GPU team at NVIDIA, Santa Clara, USA in 2018 and had been working as a System Validation Engineer with Texas Instruments, Bengaluru, India, from 2012 to 2017.
Prospective students: I am seeking highly motivated PhD students to join my research lab with RA/TA funding. For more details about my research directions, please take a look at my publications page. If you are interested, please send me an email, clearly stating your research interests along with your detailed resume.
Research
The rise of AI opens the door to unimaginable opportunities for making the world a better place. However, challenges abound. My research goal is to enhance the learning techniques in AI to be robust, reliable, and efficient for critical applications in our daily lives. 
Latest News
May 2025: One paper got accepted at IEEE ICIP 2025. Congratulations Faizul!
May 2025: Our tutorial paper Learning from Crowdsourced Noisy Labels: A Signal Processing Perspective got accepted at IEEE Signal Processing Magazine.
April 2025: Attended ICASSP 2025 in Hyderabad India. Presented the tutorial, lecture, and a poster!
Checkout the slides of our tutorial End-to-End Learning from Crowdsourced Labels: A Signal Processing Perspective here
December 2024: We recieved the AI-BTO DARPA grant to study the conformational properties of intrinsically disordered proteins using physics-informed machine learning.
December 2024: Two papers got accepted at ICASSP 2025.
Multi-label Recognition under Noisy Supervision: A Confusion Mixture Modeling Approach
Under-Counted Matrix Completion Without Detection Features
October 2024: Attended Asilomar 2024 at Pacefic Grove, CA. Presented our paper “Deep Learning under Instance-dependent Label Noise: A Tensor Factorization Perspective” and also served as the session chair.
September 2024: One paper got accepted at NeurIPS 2024.
Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom
July 2024: Recieved the outstanding PhD dissertation award from EECS, Oregon State University. Special thanks to my advisor Dr. Xiao Fu for supporting my research.
September 2023: Served as the PC member of AISTATS 2023
September 2023: One paper got accepted at IEEE CAMSAP 2023. Congrats Grey for your first paper acceptance!
September 2023: Exciting News!! I officially accepted the tenure-track assistant professor position at UCF! I will be joining the ECE department with joint appointment in CS under the AI initiative, starting Spring 2024:)
September 2023: Served as the PC member of AAAI Artificial Intelligence for Social Impact Track 2023
September 2023: Served as the PC member of WiML NeurIPS Workshop 2023
July 2023: Attended ICML2023 at Honolulu, Hawaii.
July 2023: Succesfully defended my PhD thesis. Congrats Dr. Shahana Ibrahim :)
June 2023: Gave a talk at SIAM Conference on Optimization (OP23)
Check out the slides here!
April 2023: Two papers got accepted at ICML 2023
Under-Counted Tensor Completion with Neural Incorporation of Attributes
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach