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Dr. Ruqaiya Khanam

Professor, Electrical Electronics and Communication Engineering (EECE)

ruqaiya.khanam@sharda.ac.in

About

Dr. Ruqaiya Khanam received PhD in engineering from Jamia Millia Islamia University, Delhi, in VLSI Systems for Biomedical Applications. Currently, she is serving as a Professor at Sharda University. She is supervising 07 PhD scholars and also supervised 27 M.Tech Scholars. She has published more than 45 research papers in reputed international journals and conferences, 03 books and one patent. She is editor & reviewers of reputed International Journals. Dr. Khanam is the life member of IETE and IEEE professional member..

Experience
  • Teaching: 14 Years
  • Industry: 04 years
Qualification
  • Ph.D. from Jamia Millia Islamia University
  • M.Tech from Aligarh Muslim University
Award & Recognition

  • Invited as Distinguished Guest Speaker and Session Chair for several International Conferences and Events in India and Abroad.
  • Reviewer of various Journals Such as IET Biometrics, Informatics in Medicine Unlocked ,The Journal of Engineering Research and many more

Research

  • Patent: 01
  • Journal:  22
  • Conference: 21
  • Book Chapters: 03

Certifications

  • “Teaching And Learning in Engineering”, January- April 2019.
  •  “Hardware-Software Co-design on Zynq SoC”, at IIITD during 18-23 December 2018.
  • “Soft Computing Techniques using MATLAB through ICT at Galgotias University, Greater Noida during 5th – 9th March 2018.
  • “Integrated Automation Technologies” at IIT Delhi during 1st -6th June, 2015.
  • “Patent Searching, Drafting and Filing”, at Panimalar Institute of Technology during 29 May20- 02 June20, Chennai, Tamil Nadu, India
  • “Outcome based Education(OBE)” at Galgotias University during 13-20 December 2017, by Engineering Staff College of India,
  • “Universal Human Values” at Galgotias University during 23-24 December 2014.
  • “Pattern Recognition and Soft computing” at Delhi Technological University during 5-9 May 10.

Area of Interest

  • VLSI Design
  • Low Power Chip Designing
  • Image Processing
  • Biomedical Signal and Image Processing
  • High level designing using VHDL/Verilog
  • Internet of Things
  • Artificial Intelligence
  • Image Processing