Dr. Shahid Ahmad Wani

Assistant Professor

Interest Area(s)

  • Single Cell Genomics,
  • Machine Learning,
  • Deep Learning,
  • Computational Biology

Shahid Ahmad Wani has a Ph.D. in Computer Science specializing in single-cell genomics. His research focuses on integrating multimodal single-cell datasets to extract biological insights using machine learning and deep learning techniques. He works at the intersection of artificial intelligence and genomics, developing computational models to analyze complex cellular data and uncover patterns that drive biological discovery. In addition to his research, he is a passionate educator, dedicated to teaching and mentoring students in computer science.

  • Ph. D.
  • 4 Years
  • Wani, Shahid Ahmad, Sumeer Ahmad Khan, and S. M. K. Quadri. “scJVAE: A novel method for integrative analysis of multimodal single-cell data.” Computers in Biology and Medicine 158 (2023): 106865.
  • Wani, Shahid Ahmad, Sumeer Ahmad Khan, and S. M. K. Quadri. “Application of Deep Learning for Single Cell Multi-Omics: A State-of-the-Art Review.” Archives of Computational Methods in Engineering (2025): 1-43.
  • Wani, Shahid Ahmad, and S. M. K. Quadri. “Evaluation of computational methods for single cell multi-omics integration.” Procedia Computer Science 218 (2023): 2744-2754.
  • Wani, Shahid Ahmad, et al. “A Comparative Study of Machine Learning Techniques for Cell Annotation of scRNA-Seq Data.” Algorithms 18.4 (2025): 232.
  • Presented “Applications, Issues and Deep Learning Analysis of Electronic Health Records” at 9th International Conference on Signal Processing and Integrated Networks (SPIN-2022) held on 25-26 August, 2022 through Virtual Mode at Amity University, Noida, India.
  • A paper titled “Evaluation of Computational Methods for Single Cell Multi-Omics Integration” was presented at International Conference on Machine Learning and Data Engineering (ICMLDE 2022) held from September 7-8, 2022 at School of Computer Science, University of Petroleum and Energy Studies, Dehradun (Uttrakhand), India.
  • A paper titled “A Comparative Evaluation of Single-cell Integration Methods” was presented at International Conference on Advances in Science, Engineering and Technology (ICASET – 2024) from 30 – 31 July, 2024 organized by Department of Computer Application, Integral University, Lucknow, India in association with CRC Press, Routledge, Taylor and Francis Group.
  • Wani, Shahid Ahmad, S. M. K. Quadri, and Gowhar Mohiudin. “Applications, Issues, and Deep Learning Analysis of Electronic Health Records.” International Conference on Signal Processing and Integrated Networks. Singapore: Springer Nature Singapore, 2022.
  • Wani, Shahid Ahmad, and S. M. K. Quadri. “A comparative evaluation of single-cell integration methods.” Advances in Science, Engineering and Technology. CRC Press, 2025. 65-71.
  • Qualified UGC NET in computer science
  • Qualified twice the Jammu and Kashmir State Eligibility Test (JKSET)
  • Qualified Graduate Aptitude Test (GATE)