Tawseef Ayoub Shaikh | Innovation | Best Researcher Award

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Assist Prof Dr Tawseef Ayoub Shaikh | Innovation | Best Researcher Award

Senior Assistant Professor at  National Institute of technology Srinagar Jammu and Kashmir India

Dr. Tawseef Ayoub Shaikh is a highly qualified professional with a B-Tech in Computer Science & Engineering from Islamic University of Science & Technology (IUST), Awantipora, in 2011, achieving a CGPA of 7.06/10. He further pursued M-Tech in Software Systems from Guru Nanak Dev University (GNDU), Amritsar, in 2014, attaining an impressive CGPA of 8.90/10. His academic journey culminated in a Ph.D. in Computer Engineering from Aligarh Muslim University, successfully awarded in 2020.

 

Publication Profile:🌟👨‍🎓

📚 Educational Background:

  • M.Tech in Computer Science & Engineering (GNDU, 2014)
  • B.Tech in Computer Science & Engineering (IUST, 2011)

🎓 Academic Achievements:

  • GATE, JKSLET, UGC NET Qualified
  • Ph.D. Awarded in 2020
  • Visvesvaraya PhD Fellow (2015-2018)
  • Recognized for excellence in fully financed government projects

💡 Research Interests:

  • AI, Machine Learning, Big Data Analytics
  • Pattern Recognition
  • Medical Informatics & Healthcare Analytics
  • Soft Computing and its applications in search engines and advertising platforms

🏆 Awards and Honors:

  • Merit cum Means Fellowship during B-Tech and M-Tech
  • Multiple fully financed government projects
  • Recognized as a Visvesvaraya PhD fellow

👨‍🔬 Research Focus:

Dr. Tawseef Ayoub Shaikh’s research primarily focuses on applying advanced technologies to healthcare, particularly in the domains of Alzheimer’s disease and breast cancer diagnosis. His work includes the development of automated atrophy assessment for Alzheimer’s disease using MRI images, as well as leveraging transfer learning for Computer-Aided Diagnosis (CAD) in breast cancer. Dr. Shaikh has contributed to intelligent healthcare systems, employing optimization algorithms for breast cancer diagnosis and creating predictive models for Alzheimer’s disease. His research spans machine learning, big data applications in Indian healthcare, and the utilization of distributed algorithms in cloud computing. 🧠🩺🤖

 

Citations:
  • Citations: The individual has been cited 171 times across 157 documents. This metric reflects the impact and visibility of their research within the academic community.
  • Documents: The person has authored or co-authored 27 documents, which could include research papers, articles, or other scholarly publications.
  • h-index: The h-index is a metric that combines the number of publications and their impact. In this case, the h-index is 9, indicating that there are 9 papers that have been cited at least 9 times.

Publications Top Notes:

  1. Machine Intelligence and Medical Cyber-Physical System Architectures for Smart Healthcare: Taxonomy, Challenges, Opportunities, and Possible Solutions
    • Published in Artificial Intelligence in Medicine (2023, 146, 102692).
    • No citations reported.
  2. A Data-Centric Artificial Intelligent and Extended Reality Technology in Smart Healthcare Systems
    • Published in Social Network Analysis and Mining (2022, 12(1), 122).
    • 7 citations reported.
    • Appears to focus on data-centric AI and extended reality technologies in the context of smart healthcare.
  3. Machine Learning for Smart Agriculture and Precision Farming: Towards Making the Fields Talk
    • Published in Archives of Computational Methods in Engineering (2022, 29(7), pp. 4557–4597).
    • 18 citations reported.
    • Concentrates on the application of machine learning in smart agriculture and precision farming.
  4. Towards the Smart Diagnosis of Brain Disorders Using Artificial Intelligence
    • A book chapter in “AI-Enabled IoT for Smart Health Care Systems” (2022, pp. 45–66).
    • No citations reported.
    • Focuses on utilizing AI for the intelligent diagnosis of brain disorders.
  5. AI-Enabled IoT for Smart Health Care Systems
    • A book authored by T.A. Shaikh, T. Rasool, and M. Wasid (2022, pp. 1–269).
    • No citations reported.
    • Likely covers various aspects of AI-enabled IoT in healthcare systems.