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Mr. Syed Naseer Ahmad Shah

Assistant professor

Mr. Syed Naseer Ahmad Shah serves as an Assistant Professor in the Department of Information Technology at the School of Business, Galgotias University, Greater Noida. A passionate and goal-oriented computer science researcher pursuing his P.hD. from Jamia Millia Islamia New Delhi, his work focuses on AI and Deep Learning in Healthcare, particularly in tackling cancers.

He teaches various subjects, including Data Science, AI, Machine Learning, Database Management, Python Programming, Operating Systems, Data Analytics, and Business Analytics. Mr. Syed has published papers in Web of Science-indexed and international journals, contributed to book chapters, and presented his research at conferences. He consistently updates his knowledge and skills to stay at the forefront of his field, with the aim of contributing back to society through his research and teaching. Additionally, he serves as a reviewer for many Web of Science-indexed journals and actively participates in many projects, publications, and Faculty Development Programs (FDPs).

UGC-NET qualified.

Experience

  • 5 years of Research Experience

Qualification

  • Ph.D. (Pursuing)
    Jamia Millia Islamia, Central University, New Delhi (2021–Present)
  • M.C.A.
    Islamic University of Science and Technology, Awantipora, J&K (2017–2020)
  • B.C. A
    University of Kashmir, Srinagar, J&K (2014–2017)

Award & Recognition

  • Best Paper Award at 4th International Conference on ICT for Digital, Smart and Sustainable Development. New Delhi.
  • UGC-NET Computer Science
  • Gold Medallist (MCA).

Research

  • Shah, S.N.A., Parveen, R. An Extensive Review on Lung Cancer Diagnosis Using Machine Learning Techniques on Radiological Data: State-of-the-art and Perspectives. Arch Computat Methods Eng30, 4917–4930 (2023). https://doi.org/10.1007/s11831-023-09964-3  (SCIE, Q1, IF: 9.7)
  • Shah, S. N. A., & Parveen, R. (2024, August). Lung Cancer Biomarker Identification from Differential Expression Analysis Using RNA-Seq Data for Designing Multitargeted Drugs. In Biology and Life Sciences Forum(Vol. 35, No. 1, p. 2). MDPI. DOI: https://doi.org/10.3390/blsf2024035002 (MDPI)

Certifications

  • Research Applications of Deep Learning, Department of Computer Science & Engineering, NIT, Hamirpur,in collaboration with IIT Roorkee and IUST Jammu and Kashmir.
  • Enabling Technology Training Workshop on NGS Data QC and Transcriptome Analysis. Jawaharlal Nehru University (JNU) New Delhi.
  • Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT by Hadelin de PontevesUdemy
  • Python for Genomic Data Science, Johns Hopkins University, Coursera
  • NEP 2020 Orientation and Sensitization Programme under Malaviya Mission Teacher Training Program (MM-TTP) of University Grant Commission (UGC) organisedBy Jamia Millia Islamia New Delhi

Area of Interest

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Health Cancer
  • Transcriptomics and Cancers
  • Data Science
  • Bioinformatics

Links

Book Published

Other Achievements

  • One month workshop on “Enabling Technology Training Workshop” at JNU New Delhi
  • Computation Techniques for AI and Data Science Applications, Workshop by Banasthali Vidyapeeth
  • Development of Android Application, lets conference: A java based android application for Video and audio conferencing
  • Fake news detection web application using Twitter
  • New paper article: Mastering the Art of Dealing Setbacks, Celebrate Your Uniqueness, and Keep Moving Towards Your Goals, Overcoming Obstacles to Achieve Personal Growth and Success