Faculty Member
- Qualification
Ph.D
- Designation
Professor
- Thrust Area
Management Information System,Bioinformatics, Machine Learning, Deep Learning,Data Mining
- Address
4/808 Sir Syed Nagar,Aligarh-2
- Mobile
9410059635
- Email
swalehazubair@yahoo.com
- Time Table
Presently working as a Professor in the Department of Computer Science, Aligarh Muslim University, Aligarh. Have been a faculty of the University since 2007. Besides active involvement in teaching various courses to BSc., MSc., MCA and PhD students, she has successfully established an active research group with a focus on Bioinformatics, Data mining, Big data Analytics, and Machine Learning as a tool to unravel intricate mysteries of biological events. The amalgamation of computer-assisted algorithms with biologically relevant big data involving bio-macro-molecules such as DNA/RNA and proteins provides insight into the functioning of drug molecules at the molecular level. She has also exploited bioinformatics-related tools to identify potent antigens that can function as a candidate vaccine. The bioinformatics-based algorithms developed in Dr. Swaleha’s group, not only helped in the development of subunit vaccines but also resulted in robust protection against various relevant pathogens such as Mycobacterium tuberculosis, Brucella abortifaciens, and Listeria monocytogenes. She has also extensively worked on the exploitation of machine learning in deciphering various complex biological events. This has made a revolutionary impact in the prognosis, treatment, and prevention of various important diseases of global importance.
Her contribution in the field of bioinformatics has been acknowledged by various research bodies. She has been bestowed with various national as well as international awards such as Indus Research Excellence Award, 2015, BEST RESEARCH AWARD by International Research Awards on New Science Inventions, NESIN 2020. and Asia’s Top 50 Academicians & Researchers-22 Award by Education Expo tv.
She has published 91 research articles in peer-reviewed journals of international repute. Her research findings have been highly appreciated by her peers and published in relevant journals of international repute.
Presently, three (04) students are pursuing PhD and six (06) students have been awarded PhD degrees under her supervision. She has organized various faculty development /orientation programs for teachers at Aligarh Muslim University, Aligarh
- Publication
HMA Ahmed, S Zubair, M Tawfik. “A privacy-preserving cloud storage framework with hybrid encryption, homomorphic keyword search, and blockchain-based integrity verification”, Scientific Reports. (16 April 2026). [Indexing: SCIE]
TF Khan, S Zubair. “Optimizing Lung Nodule Classification through the Integration of Image Processing and Transfer Learning Techniques”, Cluster Computing. (15 September 2025). [Indexing: SCIE]
A Khan, S Zubair, I Ali. “ADNeuroNet: a neuroevolution-based neural network algorithm for the diagnosis of neurodegenerative diseases” Neural Computing and Applications. (27 February 2025). [Indexing: SCIE]
M Haris, S Zubair. “Battle Royale deep reinforcement learning algorithm for effective load balancing in cloud computing”, Cluster Computing. (21 October 2024). [Indexing: SCIE]
A Khan, S Zubair, M Shuaib, A Sheneamer, S Alam. “Development of a robust parallel and multi-composite machine learning model for improved diagnosis of Alzheimer's disease: correlation with dementia-associated drug usage and AT (N) protein biomarkers, Frontiers in Neuroscience. (06 September 2024). [Indexing: SCIE]
G Sultan, S Zubair. “An ensemble of bioinformatics and machine learning approaches to identify shared breast cancer biomarkers among diverse populations”, Computational Biology and Chemistry, (5 December 2023) [Indexing : SCIE]
Singha, A. K., & Zubair, S. A Design Framework for Deep Convolutional Neural Network Architectures. CSSE Journal. 2023 [Indexing : SCIE] (IF: 4.477).
Haris, M. and Zubair, S. “Mantaray modified multi-objective Harris hawk optimization algorithm expedites optimal load balancing in Cloud Computing” Journal of King Saud University - Computer and Information Sciences, 2021, ISSN 1319-1578. [Indexing SCI] (I.F 13.473)
Khan, A. and Zubair, S. “An Improved Multi-Modal based Machine Learning Approach for the Prognosis of Alzheimer’s Disease”, J. King Saud Univ. - Comput. Inf. Sci., April (2020). [Indexing: SCIE, Scopus] (IF: 13.473)
Khan, A. and Zubair, S. “Longitudinal Magnetic Resonance Imaging as a Potential Correlate in the Diagnosis of Alzheimer Disease: Exploratory Data Analysis”, JMIR Biomed. Eng., vol. 5, no. 1, pp. 1– 13, April (2020). [Indexing: SCIE, Scopus] (IF: 5.43)