About Me

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.

Select Publications

Under-Counted Tensor Completion with Neural Incorporation of Attributes
Shahana Ibrahim, Xiao Fu, Rebecca Hutchinson, and Eugene Seo.
accepted at International Conference on Machine Learning (ICML), 2023
[PDF] [CODE]

</tr> Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
Tri Nguyen, Shahana Ibrahim, and Xiao Fu.
accepted at International Conference on Machine Learning (ICML), 2023
[PDF] </tr>

</tr> Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization
Shahana Ibrahim, Tri Nguyen, and Xiao Fu.
International Conference on Learning Representations (ICLR), 2023
[PDF] [CODE] [SLIDES] [POSTER] </tr>

</tr> Stochastic Mirror Descent for LowRank Tensor Decomposition Under Non-Euclidean Losses
Wenqiang Pu, Shahana Ibrahim, Xiao Fu, and Mingyi Hong.
IEEE Transactions on Signal Processing, 2022
[PDF] </tr>

</tr> Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals
Shahana Ibrahim and Xiao Fu.
IEEE Transactions on Signal Processing, 2021
[PDF] [CODE] [SLIDES] </tr>

</tr> Mixed Membership Graph Clustering via Systematic Edge Query
Shahana Ibrahim and Xiao Fu.
IEEE Transactions on Signal Processing, 2021
[PDF] [CODE] </tr>

</tr> Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
Shahana Ibrahim and Xiao Fu.
International Conference on Machine Learning (ICML), 2021
[PDF] [CODE] [SLIDES] [POSTER] </tr>

</tr> On Recoverability of Randomly Compressed Tensors with Low CP Rank
Shahana Ibrahim, Xiao Fu, and Xingguo Li.
IEEE Signal Processing Letters, 2020
[PDF] </tr>

</tr> Block-Randomized Stochastic Proximal Gradient for Low Rank Tensor Factorization
Xiao Fu, Shahana Ibrahim, Hoi-To Wai, Cheng Gao, and Kejun Huang.
IEEE Transactions on Signal Processing, 2020
[PDF] [CODE] </tr>

</tr> Crowdsourcing via Pairwise Cooccurrences: Identifiability and Algorithms
Shahana Ibrahim and Xiao Fu.
Advances in Neural Information Processing Systems, 2019
[PDF] [CODE] [SLIDES] [POSTER] </tr>

</tr> Estimating Phase Duration for SPAT messages
Shahana Ibrahim, Dileep Kalathil, Rene Sanchez, and Pravin Varaiya.
IEEE Transactions on Intelligent Transportation Systems, 2019
[PDF] [SLIDES] </tr>

Latest News

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.

Defense

July 2023: Succesfully defended my PhD thesis. Congrats Dr. Shahana Ibrahim :)

Defense

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