Prof. Kinjal S. Parmar

Prof. Kinjal S. Parmar

Ph.D. (Pursuing), M.E., B.E. 

Area of Interest

Electronics, Communication, Electromagnetics, Communication Systems.

Qualification
Majors Degrees

  • Ph.D. (Pursuing) - GTU

  • M.E.  Communication Systems Engineering - GTU (2014-2016)

  • B.E.  Electronics & Communications - GTU (2009-2013)


Online Certified Courses

  • Wireless Communications for Everybody by YONSEI University- COURSERA on June 2021.

  • Introduction to Probability by Harvard University-edX on May- 2021.

  • Python Basics for Data Science by IBM-edX on February- 2021.

  • Identifying Entrepreneurial Opportunities by University of Maryland on Feb- 2021.

  • Being a Researcher (in Information Science & Technology) by Politecnico- COURSERA on Aug- 2020.

  • Understanding Research Methods by University of London- COURSERA on Aug- 2020.

  • Computer Networks Security from Scratch to Advanced by Udemy on Aug- 2020.

  • Microwave Integrated Circuits by NPTEL on Sept- 2017.

Academic

  • Total academic experience is of 7  years.

Graduate Level

  • Digital Electronics, Engineering Electromagnetics and Wave Propagation, Analog and Digital Communication, Microprocessor and Microcontroller, Computer Organization, Computer Organization and Architecture, Digital Fundamentals,Physics, Fundamental of Electronics and Electrical Engineering

Seminars/Workshop Attended

  • IEEE 6th International Conference on Computing, Communication and Automation (ICCCA), Dec 2021.

Research Papers 

  • Kinjal Parmar and A. C. Suthar, “A Comprehensive Survey of Microstrip Patch Antenna based on Metamaterial,” 2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA), Arad, Romania, 2021, pp. 620-625.

  • Parmar Kinjal & Singh Shailendra. (2016). “”50–60 GHz waveguide to microstrip transition on LTCC for enabling integrated MMIC packaging”, IEEE, International Journal for Innovative Research in Science & Technology.

  • Sharma, Deepti, K. Sellvasundaram, Prasanta Chatterjee Biswas, K. Suresh Kumar, S. R. Ganesh, and Kinjal Parmar. "Machine Learning and HRM: A Path to Efficient Workforce Management." Journal of Informatics Education and Research 4, no. 2 (2024).

    Patents

  • Prof. Darshan P. Patel, Dr. Ramesh T. Prajapati, Jitiya Dipali, Bhawana Chaudhary, Kinjal Parmar, and Dr. Anilkumar Suthar. DEEP LEARNING AND IMAGE PROCESSING FOR LUNG CANCER DETECTION IN IOT HEALTHCARE SYSTEMS, issued May 3, 2024.

  • NA