• Ph.D. in Computer Science & Engineering – Shri Mata Vaishno Devi University, Kakryal, J&K
  Specialization: Computer Science & Engineering
• M.Tech. in Computer Science & Engineering – G.G.S.I.P. University, Delhi 
  Specialization: Computer Science & Engineering
• B.E. in Computer Science & Engineering – Institute of Engineering & Technology, Khandari, Agra
  Specialization: Computer Science & Engineering

• Assistant Professor, Computer Science & Engineering
  Shri Mata Vaishno Devi University, Kakryal (2008–Present)

Software Engineering:     Course Plan    Course Material

• Assistant Director, Human Resource Development Centre – Shri Mata Vaishno Devi University, Kakryal
• Member Board of Studies – School of CSE, Shri Mata Vaishno Devi University, Kakryal
• Member, Anti Ragging Squad–Shri Mata Vaishno Devi University, Kakryal
• Member, Telecom Committee–Shri Mata Vaishno Devi University, Kakryal

• Reviewer – Reviewer of a number of International Journals from Nature, Elsevier, Springer, IEEE, ACM, Inderscience, Taylor & Francis, John Willey, IGI Global-USA, ASP-USA, World Scientific etc.

• AI for Healthcare Diagnostics (2018–Present)

• Autonomous Vehicle Navigation Systems (2015–2017)

• Natural Language Understanding for Conversational AI (2012–2015)

• Reinforcement Learning in Multi-Agent Systems (2007–2012)

• List of 10 selected papers in SCI/SCIE/SSCI/Thomson Reuters Indexed Non Paid International Journals:  

  [1]  “A decision support system for surveillance of smart cities via a novel aggregation operator on intuitionistic fuzzy sets,” vol. 81, pp. 22587-22608, 2022, Multimedia Tools and Applications (Springer).

  [2]  “A novel service robot assignment approach for COVID-19 infected patients: a case of medical data driven decision making,” vol. 81, pp. 41995-42021, 2022, Multimedia Tools and Applications (Springer).

  [3]  “A deep learning based approach to detect IDC in histopathology images,” vol. 81, pp. 36309-36330, 2022, Multimedia Tools and Applications (Springer).

  [4] “An automated deep learning models for classification of skin disease using Dermoscopy images: a comprehensive study,” vol. 81, pp. 37379-37401, 2022, Multimedia Tools and Applications (Springer).

  [5] “UAVs path planning architecture for effective medical emergency response in future networks,” vol. 47, 2021, Physical Communication (Elsevier).

  [6] “Deep Learning Based Mathematical Model for Feature Extraction to Detect Corona Virus Disease using Chest X-ray Images,” vol. 29, pp. 921-947, 2021, International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems (World Scientific).

  [7] “Optimized Routing for Efficient Data Dissemination in MANET to Meet the Fast-Changing Technology,” vol. 26, pp. 1-10, 2018, Journal of Global Information Management (IGI, USA).

  [8] “Computational investigations on band structure and electronic features of chromium-based carbides and nitride Cr3PX (X = C and N) through the FP-APW+LO approach,” vol. 109, pp. 1-12, 2017, Superlattices and Microstructures(Elsevier).

  [9] “Realization and computational analysis of splitting in higher order optical vortices,” Optik, vol. 127, pp. 5757-5760, 2016 (Elsevier).

  [10] “Computational analysis of higher order optical vortex,” vol. 127, pp. 722-727, 2016, Optik (Elsevier).

   

• “Deep Learning based Identification of Genetic Syndromes using Facial Images,” in 15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024, 2024, pp. 1049-1057.

• “Analysis of Breast Cancer Prediction Using Machine Learning Techniques: Review Paper,” in Lecture Notes in Electrical Engineering, 2023, pp. 311-322.

• “Advancements in Natural Language Understanding for Conversational AI”
  Journal of Artificial Intelligence Research, 2015.

• “Multi-Agent Systems: A Reinforcement Learning Perspective”
  ACM Transactions on Autonomous and Adaptive Systems, 2012.

Selected Book Chapter in SCI/Scopus Indexed Book Series

• “Introduction to computer-aided diagnosis (CAD) tools and applications”
  Chapter in “Advances in Computers”, Elsevier, 2024.

• M. Tech. Thesis Advisor – Shri Mata Vaishno Devi University, Kakryal. 

  • Mentored 20+ M. Tech. students in Computer Science & Engineering research.

• “TPC/IPC Member of a Number of International Conferences”

• Delivered Talk on “Evolution of Telehealth Industry” in AICTE Programme

• “AI in Healthcare: Revolutionizing Diagnostics”

• “Reinforcement Learning for Autonomous Systems”

• Served as Associate Editor – International Journal of Computers and Applications, Acta Press Canada (Now Published by Taylor & Francis, UK), SCI/Scopus Indexed Journal 
• Expert– QS World Ranking
• Expert– Times Higher Education World University Rankings
• Grant Reviewer– International projects from Europe