Dr. Shabir Hussain(侯赛因)

Assistant Professor | Artificial Intelligence, Biomedical Data Science & Computational Intelligence

School of Computer Science and Artificial Intelligence | Zhengzhou University | Zhengzhou, China

Biography

Dr. Shabir Hussain (侯赛因), born in 1990 in Rahim Yar Khan, Punjab, Pakistan, is an Assistant Professor in the School of Computer Science and Artificial Intelligence at Zhengzhou University. His research lies at the intersection of artificial intelligence, biomedical data science, multimodal learning, computer vision, natural language processing, and computational biology, with a particular emphasis on developing intelligent computational methods for healthcare and life-science applications.

His work explores how modern machine learning and deep learning systems can transform heterogeneous biomedical and clinical data into meaningful, interpretable, and actionable knowledge. His recent research includes spatial transcriptomics, medical image analysis, multimodal clinical intelligence, disease detection, explainable AI, and AI-assisted biomedical discovery.

Before joining Zhengzhou University as an Assistant Professor, Dr. Hussain was a Postdoctoral Research Fellow at Tsinghua University Shenzhen International Graduate School, where he conducted interdisciplinary research at the Institute of Biopharmaceutical and Health Engineering.

He has published research in internationally recognized journals including Briefings in Bioinformatics, Expert Systems with Applications, Scientific Reports, IEEE Access, Computerized Medical Imaging and Graphics, IEEE Sensors Journal, Applied Sciences, Computers, Materials & Continua, and other peer-reviewed venues.

In addition to research, he has extensive university-level teaching and academic mentoring experience and has taught courses in programming, machine learning, deep learning, databases, web technologies, and data science.

Education

Academic Appointments

Selected Publications

First Author Journal  and Conference Articles

1.Shabir Hussain, Fei Ye, Muhammad Ayoub, and Xiaohui Liu*. “MLN2SVG: Domain-aware spatially variable gene detection using contrastive variational autoencoder and multi-level neighbor search” Briefings in Bioinformatics, 2026. CAS Q1 | JCR Q1 | IF: 7.7

2.Shabir Hussain, Ghaffar M, and Babar R. “Overcoming temporal and sequential data challenges in electroencephalography for harmful brain activity classification” Biomedical Engineering Communications, 5(2), 2026: 8. SJR Q3

3.Lifeng Li, Ashfaque Khowaja, Yucheng Song, Mingwei Zhang, and Shabir Hussain*. “Advanced Deep Learning and Hybrid Architectures in Biomedical Data Analysis for Advances in Medicine” Medicine Advances, 2026. Corresponding Author | JCR Q1 | IF: 5.5

4.Shabir Hussain, Muhammad Ayoub, Junaid Abdul Wahid, Akmal Khan, Amerah Alabrah, and Gehad Abdullah Amran. “Cough2COVID-19 detection using an enhanced multi layer ensemble deep learning framework and CoughFeatureRanker” Scientific Reports, 14(1), 2024: 25207. JCR Q1 | IF: 4.6

5.Shabir Hussain, Gehad Abdullah Amran, Amerah Alabrah, Lubna Alkhalil, and Ali A. AL-Bakhran. “C19-MLE: A Multi-Layer Ensemble Deep Learning Approach for COVID-19 Detection Using Cough Sounds and X-ray Imaging” IEEE Access, 2024. JCR Q2 | IF: 3.9

6. Shabir Hussain, Muhammad Ayoub, Yang Yu, Junaid Abdul Wahid, Akmal Khan, Dietmar P.F. Moller, and Hou Weiyan. “Ensemble Deep Learning Framework for Situational Aspects-Based Annotation and Classification of International Student’s Tweets during COVID-19” Computers, Materials & Continua, 75(3), 2023: 5355-5377. JCR Q3 | IF: 1.7

7.Shabir Hussain, Muhammad Ayoub, Ghulam Jilani, Yang Yu, Akmal Khan, Junaid Abdul Wahid, Muhammad Farhan Ali Butt, Guangqin Yang, Dietmar P.F. Moller, and Hou Weiyan. “Aspect2Labels: A novelistic decision support system for higher educational institutions by using multi-layer topic modelling approach” Expert Systems with Applications, 209, 2022: 118119. CAS Q1 | JCR Q1 | IF: 8.665

8.Shabir Hussain, Yang Yu, Muhammad Ayoub, Akmal Khan, Rukhshanda Rehman, Junaid Abdul Wahid, and Weiyan Hou. “IoT and deep learning based approach for rapid screening and face mask detection for infection spread control of COVID-19” Applied Sciences, 11(8), 2021: 3495. JCR Q2 | IF: 2.7

9.Shabir Hussain, Nimra Bukhari, Akmal Khan, Yang Yu, Muhammad Ayoub, and Junaid Abdul Wahid. “GCA2ST: A Contrastive Graph Autoencoder Framework for Domain Identification in Spatial Transcriptomics.” 2026 5th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), 2026, pp. 1-6. First Author

10.Shabir Hussain, Nimra Bukhari, Akmal Khan, Yang Yu, Muhammad Ayoub, Junaid Abdul Wahid. “HybridSVG: Ensemble Framework for Detecting Spatially Variable Genes in Spatial Transcriptomics using Fusion of Global and Local Autocorrelation” Pakistan Journal of Scientific Research, 5(1), 2025: 54-62.

Co-Authored Journal Articles

11.Muhammad Ayoub, Hai Zhao, Lifeng Li, Dongjie Yang, Shabir Hussain, and Junaid Abdul Wahid. “Structured clinical approach to enable large language models to be used for improved clinical diagnosis and explainable reasoning” Communications Medicine, 2026. JCR Q1 | IF: 5.0

12. Junaid Abdul Wahid, Muhammad Ayoub, Mingliang Xu, Xiaoheng Jiang, Lei Shi, and Shabir Hussain. “NN2ViT: Neural Networks and Vision Transformers based approach for visual anomaly detection in industrial images” Neurocomputing, 615, 2025: 128845. CAS Q2 | JCR Q1 | IF: 6.0

13. Junaid Abdul Wahid, Mingliang Xu, Muhammad Ayoub, Shabir Hussain, Lifeng Li, and Lei Shi. “A hybrid ResNet-ViT approach to bridge global and local features for myocardial infarction detection” Scientific Reports, 14(1), 2024: 4359. JCR Q1 | IF: 4.6

14. Muhammad Ayoub, Zhifang Liao, Shabir Hussain, Lifeng Li, Chris W.J. Zhang, and Kelvin K.L. Wong. “End-to-end vision transformer architecture for brain stroke assessment based on multi-slice classification and localization using computed tomography” Computerized Medical Imaging and Graphics, 109, 2023: 102294. CAS Q2 | JCR Q1 | IF: 5.7

15. Junaid Abdul Wahid, Lei Shi, Yufei Gao, Bei Yang, Lin Wei, Yongcai Tao, Shabir Hussain, Muhammad Ayoub, and Imam Yagoub. “Topic2Labels: A framework to annotate and classify social media data through LDA topics and deep learning models for crisis response” Expert Systems with Applications, 195, 2022: 116562. CAS Q1 | JCR Q1 | IF: 8.7

16.Yang Yu, Oskar Carl, Shabir Hussain, Weiyan Hou, and Torben Weis. “A privacy-protecting step-level walking direction detection algorithm based on floor vibration” IEEE Sensors Journal, 23(10), 2022: 10814-10824. CAS Q2 | JCR Q1 | IF: 4.3

17.Yang Yu, Xiangju Qin, Shabir Hussain, Weiyan Hou, and Torben Weis. “Pedestrian counting based on piezoelectric vibration sensor” Applied Sciences, 12(4), 2022: 1920. JCR Q2 | IF: 2.7

18. Junaid Abdul Wahid, Lei Shi, Yufei Gao, Bei Yang, Lin Wei, Yongcai Tao, and Shabir Hussain. “Topic2features: A novel framework to classify noisy and sparse textual data using LDA topic distributions” PeerJ Computer Science, 7, 2021: e677. CAS Q3 | JCR Q2 | IF: 3.0

19.Nimra Bukhari, Shabir Hussain*, Hafiz Muhammad Anwar Shahzada, Rafique Haider, Hassan Munir, Imran Ali Mudassar, Yang Yu, and Akmal Khan. “Multi-Scale Dual-Stream CNN-Mamba Hybrid Framework for Accurate Nuclei Segmentation in H&E Images” Pakistan Journal of Scientific Research, 5(2), 2025: 18-25. Corresponding Author

20.Nimra Bukhari, Hassan Munir, Rafique Haider, and Shabir Hussain*. “MASKYLO: Hybrid Deep Learning Framework for Detection and Segmentation of HE Stained Histology Image” Pakistan Journal of Scientific Research, 4(2 Suppl.), 2025: 92-101. Corresponding Author

Current Research Focus

Academic & Professional Service

Dr. Hussain serves as a reviewer for international journals and conferences across artificial intelligence, biomedical informatics, machine learning, and software engineering.

His reviewing activities include venues associated with:

IEEE: IEEE Transactions on Neural Networks and Learning Systems; IEEE Journal of Biomedical and Health Informatics; IEEE Access; IEEE ICDM

Elsevier: Expert Systems with Applications; Computers in Biology and Medicine; Journal of Biomedical Informatics; Computer Methods and Programs in Biomedicine

Other Publishers and Conferences: Wiley journals; ENASE; ICL; ACM SIGKDD-related academic activities.

Honors & Recognition

Best Poster Award, 3rd International Biopharmaceutical and Health Engineering Cup Graduate Academic Forum, Tsinghua Shenzhen International Graduate School, Tsinghua University, 2025

Best Presenter Award, Asia Pacific International Conference on Emerging Engineering (APICEE 2025), 2025

Presidential Scholarship - Fully Funded Ph.D., Zhengzhou University, 2018-2023

Prime Minister's Laptop Scheme Award, Government of Pakistan

Research Profiles

Google Scholar: scholar.google.com/citations?user=taN-J0MAAAAJ

ResearchGate: researchgate.net/profile/Shabir-Hussain-15

Contact

Dr. Shabir Hussain | Assistant Professor | School of Computer Science and Artificial Intelligence | Zhengzhou University, Zhengzhou, China
Email: hussein@zzu.edu.cn   |   Alternative Email: shabir.nicaas@gmail.com   | WeChat ID: Hussain05_08