Vikas Kumar Jha
Vikas Kumar Jha
Assistant Professor
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.
Profile Links
Email :
[email protected]
Google Scholar :
https://sites.google.com/view/vikaskumarjha
Social Links
Educational Qualification
Ph.D
Research Interests
Signal and data processing
Projects
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).
Awards & Honours
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
Memberships
IIW ,INDIA,SOCTA Society india
Outreach Activity
1. Computer Aided Manufacturing:- Real time monitoring of Arc Welding Process for quality analysis of SMAW/GMAW/TIG Process using High speed data acquisition and analysis techniques. 2. Random Number Generators:- Design of cost effective random number generators for security and verification. 3. Charcoal Electronics:- Utilization of charcoal for electronics as sensing elements in agriculture and random number generation.
Ph.D
Research Interests
Signal and data processing
Projects
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).
Awards & Honours
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
Memberships
IIW ,INDIA,SOCTA Society india
Outreach Activity
1. Computer Aided Manufacturing:- Real time monitoring of Arc Welding Process for quality analysis of SMAW/GMAW/TIG Process using High speed data acquisition and analysis techniques. 2. Random Number Generators:- Design of cost effective random number generators for security and verification. 3. Charcoal Electronics:- Utilization of charcoal for electronics as sensing elements in agriculture and random number generation.
Journals/Conferences :
Vikas Kumar., Parida, Manoj & Verma, O P (2019). Evaluation of power sources and the effect of varying current in SMAW process. International journal of system assurance engineering and management. 1-11. doi:10.1007/s13198-019-00877-8. Publisher- Springer.
Kumar, V., Albert, S., Chandrasekhar, N., & Jayapandian, J. (2018). Performance Analysis of Arc Welding Process using Weld Data Analysis. International Journal of Minerals, Metals and Materials Engineering, 1-13. doi:10.1007/s12666-018-1450-5. (SCI) Impact factor 0.91.
2. Kumar, V., Albert, S., & Chandrasekhar, N. (2018). Signal processing approach on weld data for evaluation of arc welding electrodes using Probability Density Distributions. Measurement, 133, 23 - 32. Publisher- Elsevier, (SCI) Impact factor 2.3.
3. Kumar, V., Albert, S., Chandrasekhar, N., & Jayapandian, J. (2017). Evaluation of Welding Skill using Probability Density Distributions and Neural Network Analysis. Measurement, 116, 114-121. doi:10.1016/j.measurement.2017.11.009. Publisher- Elsevier, (SCI) Impact factor 2.3
Kumar, V., Albert, S., Chandrasekhar, N., & Jayapandian, J. (2015). Analysis of Shielded Metal Arc Welding Using Digital Storage Oscilloscope. Measurement, 81, 1-12. doi:10.1016/j.measurement.2015.11.031. Publisher- Elsevier, (SCI) Impact factor 2.3
Kumar, V., Albert, S., Chandrasekhar, N., & Venkatesan, M. (2016). Performance Analysis of Arc welding Parameters using Self Organized maps and Probability Distributions. IEEE First International Conference on Control, Measurement and Instrumentation (CMI), Kolkata, India, , 196-200. doi:10.1109/CMI.2016.7413738.
Kumar, V., Albert, S., Chandrasekhar, N., Jayapandian, J., & Ravichandran, T. (2016). A novel method to classify welding Power sources using weld data analysis. 9th DAE-VIE 2016 Symposium on Emerging Trends in I&C and Computer Systems, Indira Gandhi Centre for Atomic Research and Board of Research in Nuclear Sciences, Kalpakkam, India,, , 281-285.
Kumar, V., Albert, S., Chandrasekhar, N., & Jayapandian, J. (2015). Monitoring the Learning of Welding Skill using High-Speed Data Acquisition System. National welding Seminar, Indian Institute of Welding, Mumbai, India
Kumar, V., Albert, S., Chandrasekhar, N., & Jayapandian, J. (2013). Study of Manual Metal Arc Welding Using Digital Storage Oscilloscope. National welding meet, Indian Institute of welding, Mohamed Sathak Engineering College, Rameswaram, India, , 19
PATENT FILED
Vikas Kumar, Rupam Goswami and Jonathan Joshi, “Charcoal Film Based Sensor and Random Signal Generator” Application No. TEMP/E1/27607/2018-DEL, Ref No. 201811025225.
PROJECT AREAS OPEN FOR UG/PG/PhD. STUDENTS
UG
1. Optimization of noise filtering procedure for weld data analysis.
2. Design of an offline random number generator based on charcoal sensors.
3. Development of an IoT module for agriculture application.
PG
Development of signal conditioning module for high-speed weld data acquisition and analysis.
Fabrication of charcoal-based fertilizer detectors in soil samples of agricultural fields and development of a GUI for users.
PhD
Development of High Speed Data Acquisition and Signal Conditioning Module for Tungsten Inert Gas Welding (TIG) for real time analysis and monitoring of TIG Process
.
Development of Digital Signal Processing Algorithm on the pre amplifier pulse output for radiation sensors.
Monte Carlo simulation using GEANT - 4 tool kit in order to obtain critical geometory parametrs aheead of semiconductor detector fabrication.
Books :
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.
Vikas Kumar., Parida, Manoj & Verma, O P (2019). Evaluation of power sources and the effect of varying current in SMAW process. International journal of system assurance engineering and management. 1-11. doi:10.1007/s13198-019-00877-8. Publisher- Springer.
Kumar, V., Albert, S., Chandrasekhar, N., & Jayapandian, J. (2018). Performance Analysis of Arc Welding Process using Weld Data Analysis. International Journal of Minerals, Metals and Materials Engineering, 1-13. doi:10.1007/s12666-018-1450-5. (SCI) Impact factor 0.91.
2. Kumar, V., Albert, S., & Chandrasekhar, N. (2018). Signal processing approach on weld data for evaluation of arc welding electrodes using Probability Density Distributions. Measurement, 133, 23 - 32. Publisher- Elsevier, (SCI) Impact factor 2.3.
3. Kumar, V., Albert, S., Chandrasekhar, N., & Jayapandian, J. (2017). Evaluation of Welding Skill using Probability Density Distributions and Neural Network Analysis. Measurement, 116, 114-121. doi:10.1016/j.measurement.2017.11.009. Publisher- Elsevier, (SCI) Impact factor 2.3
Kumar, V., Albert, S., Chandrasekhar, N., & Jayapandian, J. (2015). Analysis of Shielded Metal Arc Welding Using Digital Storage Oscilloscope. Measurement, 81, 1-12. doi:10.1016/j.measurement.2015.11.031. Publisher- Elsevier, (SCI) Impact factor 2.3
Kumar, V., Albert, S., Chandrasekhar, N., & Venkatesan, M. (2016). Performance Analysis of Arc welding Parameters using Self Organized maps and Probability Distributions. IEEE First International Conference on Control, Measurement and Instrumentation (CMI), Kolkata, India, , 196-200. doi:10.1109/CMI.2016.7413738.
Kumar, V., Albert, S., Chandrasekhar, N., Jayapandian, J., & Ravichandran, T. (2016). A novel method to classify welding Power sources using weld data analysis. 9th DAE-VIE 2016 Symposium on Emerging Trends in I&C and Computer Systems, Indira Gandhi Centre for Atomic Research and Board of Research in Nuclear Sciences, Kalpakkam, India,, , 281-285.
Kumar, V., Albert, S., Chandrasekhar, N., & Jayapandian, J. (2015). Monitoring the Learning of Welding Skill using High-Speed Data Acquisition System. National welding Seminar, Indian Institute of Welding, Mumbai, India
Kumar, V., Albert, S., Chandrasekhar, N., & Jayapandian, J. (2013). Study of Manual Metal Arc Welding Using Digital Storage Oscilloscope. National welding meet, Indian Institute of welding, Mohamed Sathak Engineering College, Rameswaram, India, , 19
PATENT FILED
Vikas Kumar, Rupam Goswami and Jonathan Joshi, “Charcoal Film Based Sensor and Random Signal Generator” Application No. TEMP/E1/27607/2018-DEL, Ref No. 201811025225.
PROJECT AREAS OPEN FOR UG/PG/PhD. STUDENTS
UG
1. Optimization of noise filtering procedure for weld data analysis.
2. Design of an offline random number generator based on charcoal sensors.
3. Development of an IoT module for agriculture application.
PG
Development of signal conditioning module for high-speed weld data acquisition and analysis.
Fabrication of charcoal-based fertilizer detectors in soil samples of agricultural fields and development of a GUI for users.
PhD
Development of High Speed Data Acquisition and Signal Conditioning Module for Tungsten Inert Gas Welding (TIG) for real time analysis and monitoring of TIG Process
.
Development of Digital Signal Processing Algorithm on the pre amplifier pulse output for radiation sensors.
Monte Carlo simulation using GEANT - 4 tool kit in order to obtain critical geometory parametrs aheead of semiconductor detector fabrication.
Books :
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.