Syed Tauhid Ullah Shah

According to our database, Syed Tauhid Ullah Shah authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Explainability as a Compliance Requirement: What Regulated Industries Need from AI Tools for Design Artifact Generation.

Syed Tauhid Ullah Shah, Mohammad Hussein, Ann Barcomb, Mohammad Moshirpour

CoRR, July, 2025

TinyVit-LightGBM: A lightweight and smart feature fusion framework for IoMT-based cancer diagnosis.

Hongwei Wang, Xu Dai, Shipeng Ning, Jinjun Ye, Gautam Srivastava, Fazlullah Khan, Syed Tauhid Ullah Shah, You Pan

Inf. Fusion, 2025

DSRS: DELIGHT sequential recommender system.

Syed Tauhid Ullah Shah, Fazlullah Khan, Shirin Yamani, Ryan Alturki, Foziah Gazzawe, Muhammad Imran Razzak

Eng. Appl. Artif. Intell., 2025

From Inductive to Deductive: LLMs-Based Qualitative Data Analysis in Requirements Engineering.

Syed Tauhid Ullah Shah, Mohamad Hussein, Ann Barcomb, Mohammad Moshirpour

Proceedings of the Joint Proceedings of REFSQ 2025 Workshops, 2025

2024

Explainable Detection of Fake News on Social Media Using Pyramidal Co-Attention Network.

Fazlullah Khan, Ryan Alturki, Gautam Srivastava, Foziah Gazzawe, Syed Tauhid Ullah Shah, Spyridon Mastorakis

IEEE Trans. Comput. Soc. Syst., August, 2024

2023

A Secure Ensemble Learning-Based Fog-Cloud Approach for Cyberattack Detection in IoMT.

Fazlullah Khan, Mian Ahmad Jan, Ryan Alturki, Mohammad Dahman Alshehri, Syed Tauhid Ullah Shah, Ateeq Ur Rehman

IEEE Trans. Ind. Informatics, October, 2023

Trustworthy and Reliable Deep-Learning-Based Cyberattack Detection in Industrial IoT.

Fazlullah Khan, Ryan Alturki, Md. Arafatur Rahman, Spyridon Mastorakis, Imran Razzak, Syed Tauhid Ullah Shah

IEEE Trans. Ind. Informatics, 2023

2020

DDFL: A Deep Dual Function Learning-Based Model for Recommender Systems.

Syed Tauhid Ullah Shah, Jianjun Li, Zhiqiang Guo, Guohui Li, Quan Zhou

Proceedings of the Database Systems for Advanced Applications, 2020