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Vikas Kumar Jha

Vikas Kumar Jha
School of Computer Engineering
Faculty Profile

Vikas Kumar Jha

Assistant Professor

Electronics

Biography and academic profile

Dr. Vikas has received his doctoral degree from Indira Gandhi Centre for Atomic Research, Department of Atomic Energy, (HBNI-BARC Mumbai), India. In his doctoral research, he has designed and developed Programmable System on Chip (PSoC) based Weld Pattern Analyzer (WPA) system for real-time monitoring of arc welding process.
His area of research primarily focuses on Interdisciplinary application of Signal Processing, Embedded system and Charcoal Electronics. Dr. Jha has over six years of teaching/research experience. Currently, he is also working on the project “Charcoal Based Low-Cost Smart Sensor for Agriculture Application” sponsored by the department of agriculture, government of Orissa.

Academic profile

Expertise, contributions
and professional engagement.

Only the sections completed and approved for this faculty profile are shown below.

01

Educational Qualifications

Ph.D

02

Awards and Achievements

  • 1) HOMI BHABHA GOLD MEDAL FOR OUTSTANDING Ph.D BY BARC Mumabai,India
  • 2) Best PhDthesis Award by INDIRA GANDHI CENTRE FOR ATOMIC RESEARCH,DAE,GOI,
  • 3) Best Innovative research award by Soft computing :Theory and application society at NIT Jalandhar
03

Projects and Collaborations

  • 1) MI – KNEE : A Chondroprotective Knee Health Monitring Orthosis For Knee Osteoarthrtis, NIDHI PRAYAS, Dept of Bio Technology, Govt of India; approved on July 2019.
  • 2) Cost Effective Charcoal Sensor for Agriculture: social impact and manpower development: collaborative work with Saraighat Peace Foundation (a registered non-government organization), Assam, India for field tests of the technical prototype and promotion of skill development on the project in rural areas of Assam (Ref: SPF/HQ/RD/1 with effect from October 9, 2018; duration: 2 years).
04

Books and Book Chapters

  • Vikas Kumar., and Shaju K Albert,(2019) Analysis of Arc Welding Parameters using Self Organizing Maps and Probability Density Distributions. Advs in Intelligent Syst., Computing. Vol. 1053. ISBN- 978-981-15-0750-2. Publisher- Springer.
  • Parida, M., Vikas Kumar., & Sundari, T. (2019). A GEANT4 simulation studies on estimating the efficiency of B10 based Stacked Semiconductor Neutron Detector. Advs in Intelligent Syst., Computing. Vol. 1053. ISBN- 978-981-15-0750-2. Publisher- Springer.
  • Mishra, S., Verma, S., Prasad, S., Bordoloi, S., Goswami, R., Jena, K., Vikas Kumar., & Parvathi, K. (2019). A Low Cost Charcoal Film Based Moisture Sensor: fabrication and computing. Proceedings of SoCTA 2018 at NIT Jalandhar. Publisher- Springer.
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