Anjali Singhal

Professional Qualifications

  • B. Tech:ECE
  • M.Tech: Information Technology
  • PhD :Software Engineering

Teaching Experience

16 yearsexperience teaching courses on undergraduate and postgraduate levels

Other Experience

4 yearsin TCS as IT Analyst

Subject of Interest

Database Management System, Operating System, Object Oriented Techniques, Web Technology, Software Engineering

Academic Achievements

International Journals
  • Anjali Singhal, Vikas Aggarwal, "Augmented Reality For Architect And Planning". Journal of Analysis and Computation (JAC), Volume XII, Issue I, July-Dec. 2019
  • Ms Anjali Singhal ,Dr R.P Saxena, "Smart grid Monitoring Model For Optimization at Distributed Level", International Journal Of Core Research in Communication Engineering,2015
  • Ms Anjali Singhal ,Ms Kalpana , "Smart Grid Demand Monitoring Model" International Journal of Advanced Studies in Computer Science & Engineering ,2013
  • Ms Anjali Singhal ,Dr R.P Saxena, "Software Models for Smart Grid". IEEE Xplore Digital Library, 2012
  • Anjali Singhal, “Adhering Agile Methodology In Covid-19”, International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR), 2021
  • Anjali Singhal, “Craft Cloud( E-Doorway for Artistic Works) Web development”, International Journal for Research in Applied Science & Engineering Technology, 2021
International Conferences
  • Anjali Singhal, Vikas Aggarwal, "Empirical Study of Test Driven Development with Scrum", Springer, ICACDS 2019.
  • Ms Anjali Singhal, Dr R.P Saxena, "Smart grid Monitoring Model at Distribution Level",
  • International Conference On Research And Sustainable Business 2015.
  • Anjali Singhal, Deepanshi Agarwal, Esha Singh, Rajat Valecha and Ritika Malik, "IPL Analysis and Match Prediction",INDIA-2022
Patents
  • Dr. Anjali Singhal, “METHOD AND SYSTEM TO REGISTER A MULTIMEDIA ATTACHMENT OF AN ELECTRONIC COMMUNICATION MESSAGE”, Patent number : 202111044320, Sep'2021, Published
  • Dr. Anjali Singhal, “SYSTEM AND METHOD TO IDENTIFY A PERSON FROM THE MULTIPLE POSE IMAGES”, Patent number : 202111046770, oct'2021, Published

Areas of Interest:

Database Management System, Software Engineering
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