Mr. Navjot Kumar | Spectroscopy | Best Researcher Award

Mr. Navjot Kumar | Spectroscopy | Best Researcher AwardΒ 

Mr. Navjot Kumar, CSIR-Central Electronics Engineering Research Institute , India

Dr. Navjot Kumar is a Principal Scientist in the Food & Dairy Instrumentation Division at CSIR-CEERI, Jaipur, Rajasthan. With a strong academic foundation in Electronics and Communication Engineering (B.Tech from Punjabi University Patiala) and a Master’s degree in Advanced Electronics Systems from AcSIR, he is currently pursuing a Ph.D. in Chemometrics at CSIR-CEERI. His research and professional experience span across electronics instrumentation, sensor and interface circuitry, spectroscopy, embedded systems, and chemometrics. Over his career, Dr. Kumar has held various research and development positions at CSIR-CEERI and Central Electronics Limited, contributing significantly to national projects involving spectroscopic analyzers, IoT-enabled devices, and rapid detection systems for food and environmental quality assessment. His projects have achieved advanced technology readiness levels (TRL), and some have been successfully commercialized or are ready for technology transfer. He actively contributes to innovations at the interface of electronics and analytical instrumentation, addressing challenges in food safety, environmental monitoring, and quality assurance.

Professional Profile:

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Summary of Suitability for Best Researcher Award:

Dr. Navjot Kumar is a highly accomplished researcher in the field of Electronics Instrumentation, Chemometrics, and Embedded Systems, with a notable focus on food and dairy instrumentation. As a Principal Scientist at CSIR-CEERI, he has demonstrated exceptional leadership in translational research, bridging advanced electronic systems with real-world applications in food safety, environmental monitoring, and agricultural diagnostics.

πŸŽ“ Educational Background

  1. πŸ§‘β€πŸŽ“ B.Tech in Electronics & Communication Engineering

    • πŸ“ CoE, Punjabi University Patiala

    • πŸ“… 2011 | πŸ“ˆ CGPA: 9.17/10

  2. πŸ‘¨β€πŸ’» M.Tech in Advanced Electronics System

    • πŸ“ CSIR-CEERI via AcSIR

    • πŸ“… 2014 | πŸ“ˆ CGPA: 8.96/10

  3. πŸ“š Ph.D. (Ongoing)

    • πŸ“ CSIR-CEERI via AcSIR

    • πŸ’‘ Specialization: Chemometrics

🧠 Fields of Expertise

  • πŸ“‘ Electronics Instrumentation

  • πŸ§ͺ Sensor & Interface Circuitry

  • πŸ“Š Chemometrics

  • 🌈 Spectroscopy

  • πŸ”§ Embedded Systems

🧰 Work Experience

  1. πŸ”¬ Quick Hire Scientist, CSIR-CEERI (2011–2014)

    • Electronics instrumentation, sensor circuitry

  2. 🚦 System Engineer, CEL (2014–2016)

    • Railway signaling equipment

  3. πŸ§ͺ Scientist, CSIR-CEERI (2016–2020)

    • Chemometrics, spectroscopy, embedded systems

  4. πŸ“ˆ Senior Scientist, CSIR-CEERI (2020–2024)

    • Signal analytics, instrumentation R&D

  5. πŸ§‘β€πŸ”¬ Principal Scientist, CSIR-CEERI (2024–Present)

    • Specializing in Food & Dairy Instrumentation

πŸ† Achievements / Awards / Honors

  • πŸ§ͺ Successfully led 7+ national R&D projects, all completed with working lab prototypes

  • 🧬 Developed Fluori-PCRΒ©, commercialized to 3 industries – TRL 8 πŸ’Ό

  • πŸ”¬ Several prototypes reached Technology Readiness Levels (TRL) 5–8

  • 🧾 Multiple patents & copyrights filed

  • πŸš€ Technologies Ready for Technology Transfer (ToT)

PublicationΒ Top Notes:

Analysis of interleaved DC-DC converter using ANFIS control for EV charging applications

CITED:16

Application of handheld NIR spectroscopy for detection of adulteration in turmeric powder

CITED:13

Characterization of edible oils using NIR spectroscopy and chemometric methods

CITED:11

Hybrid mine wide communication system for surveillance and safety of the miners in underground coal mines

CITED:11

Application of various Pre-processing techniques on Infrared (IR) Spectroscopy data for classification of different ghee samples

CITED:08

Selectivity enhancement for metal oxide (MOX) based gas sensor using thermally modulated datasets coupled with golden section optimization and chemometric techniques

CITED:08

Discrimination of Various pure Honey samples and its Adulterants using FTIR Spectroscopy Coupled with Chemometrics

CITED:06

K-Means Algorithm: An Unsupervised Clustering Approach Using Various Similarity/Dissimilarity Measures

CITED:05