Al Zadid Sultan Bin Habib

About

Al Zadid Sultan Bin Habib is a PhD student in Computer Science at West Virginia University (WVU), USA, and an NSF NRT Bridges in Digital Health Fellow. His research interests are in Tabular Deep Learning and its applications to Digital Health. He is advised by Dr. Donald A. Adjeroh.

He received a BSc in Electronics and Communication Engineering (ECE) from Khulna University of Engineering & Technology (KUET), Bangladesh (Sep 2017), and an MSc in Computer Science from Jahangirnagar University, Bangladesh (Oct 2020).

Email CV (PDF)

WVU · Digital Health · Tabular DL

Highlights

Research Focus

Representation learning and architectures for high-dimensional, low-sample-size tabular data; applications to digital health, with extensions to image–tabular multimodal modeling.
Open Source

Code and experiments on GitHub. New projects on tabular models pipelines.

Browse repositories →
Collaborations

Open to collaborations in health AI, tabular deep learning models, and multimodal image-tabular benchmarks.

Updates

August 2026 PhD Milestone

Passed my PhD Candidacy Exam and successfully defended my Dissertation Proposal at West Virginia University.

July 2026 NeurIPS 2026

Reviewed 4 papers for NeurIPS 2026.

June 2026 ECCV 2026 Main Conference

First-authored paper accepted at the ECCV 2026.

June 2026 ICML 2026 arXiv

The arXiv version of our ICML paper “GOTabPFN: From Feature Ordering to Compact Tokenization for Tabular Foundation Models on High-Dimensional Data” is available now, along with the OpenReview, GitHub repository, project webpage, ICML portal, live demo, CPU backup demo, and PyPI package.

May 2026 AAAI 2026 NeuroAI Workshop PMLR Proceedings

Paper “DynaTab: Dynamic Feature Ordering as Neural Rewiring for High-Dimensional Tabular Data” published in the Proceedings of the AAAI 2026 NeuroAI Workshop .

Apr 2026 ICML 2026 Regular

First-authored paper accepted at the ICML 2026.

Mar 2026 ICPR 2026

Two first-authored papers accepted at the ICPR 2026.

Mar 2026 ICLR 2026 DeLTa Workshop

Full paper accepted at the ICLR 2026 DeLTa Workshop.

Mar 2026 ICPR 2026

Reviewed 7 papers for the ICPR 2026.

Feb 2026 ICLR 2026 Gen² Workshop

Reviewed 3 short papers for the ICLR 2026 Gen² Workshop.

Dec 2025 AAAI 2026 NeuroAI Workshop

Received a paper decision of “Accepted for archival publication” for my submission to AAAI 2026 NeuroAI Workshop (NeuroAI 2026) .

Nov 2025 AAAI 2026 NeuroAI Workshop

Reviewed 3 papers for AAAI 2026 NeuroAI Workshop .

Nov 2025 AISTATS 2026

Reviewed 3 papers for AISTATS 2026.

Nov 2025 NeurIPS 2025 · MusIML Affinity Workshop

Paper “Tabular Deep Learning vs Classical Machine Learning for Urban Land Cover Classification” published in the NeurIPS 2025 MusIML Affinity Workshop .

Oct 2025 ICLR 2026

Reviewed 1 paper for ICLR 2026.

Oct 2025 Symposium Visit

Attended the Duke Medical Robotics Symposium 2025 and presented a poster. Organized by Duke TAST; part of my NSF NRT BridgesDH traineeship visit and collaboration.

Sep 2025 NeurIPS ER WS

Reviewed 3 papers for the NeurIPS 2025 Efficient Reasoning (ER) Workshop.

Aug 2025 AAAI 2026

Reviewed 4 papers for AAAI 2026.

Jul 2025 Workshop Talk

WVAR-CRESH: 2025 WVU Summer Workshop on AI, Digital Health & BioML, and NSF BridgesDH NRT Mini-Workshop Series.
Multimodal Learning for Image and Tabular Data.

Recording

Jan 2025 Fellowship

Awarded the NSF NRT Bridges in Digital Health (BridgesDH) Fellowship. Details

Dec 2024 ICPR 2024

Published paper, “TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering” at ICPR 2024. See the paper: Springer chapter.

Nov 2024 ICLR 2025

Reviewed 1 paper for ICLR 2025.

About

Highlights

Research Focus

Open Source

Collaborations

Updates