Mr. Navjot Kumar | Spectroscopy | Best Researcher Award

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:

GOOGLE SCHOLAR

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.

🎓 Educational Background

🧑‍🎓 B.Tech in Electronics & Communication Engineering
- 📍 CoE, Punjabi University Patiala
- 📅 2011 | 📈 CGPA: 9.17/10
👨‍💻 M.Tech in Advanced Electronics System
- 📍 CSIR-CEERI via AcSIR
- 📅 2014 | 📈 CGPA: 8.96/10
📚 Ph.D. (Ongoing)
- 📍 CSIR-CEERI via AcSIR
- 💡 Specialization: Chemometrics

🧠 Fields of Expertise

📡 Electronics Instrumentation
🧪 Sensor & Interface Circuitry
📊 Chemometrics
🌈 Spectroscopy
🔧 Embedded Systems

🧰 Work Experience

🔬 Quick Hire Scientist, CSIR-CEERI (2011–2014)
- Electronics instrumentation, sensor circuitry
🚦 System Engineer, CEL (2014–2016)
- Railway signaling equipment
🧪 Scientist, CSIR-CEERI (2016–2020)
- Chemometrics, spectroscopy, embedded systems
📈 Senior Scientist, CSIR-CEERI (2020–2024)
- Signal analytics, instrumentation R&D
🧑‍🔬 Principal Scientist, CSIR-CEERI (2024–Present)
- Specializing in Food & Dairy Instrumentation

🏆 Achievements / Awards / Honors

🧪 Successfully led 7+ national R&D projects, all completed with working lab prototypes
🧬 Developed Fluori-PCR©, commercialized to 3 industries – TRL 8 💼
🔬 Several prototypes reached Technology Readiness Levels (TRL) 5–8
🧾 Multiple patents & copyrights filed
🚀 Technologies Ready for Technology Transfer (ToT)

Publication 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

Dr. Lu Wang, The Fifth Affiliated Hospital of Sun Yat-sen University, China

Dr. Lu Wang is a dedicated clinician and postdoctoral researcher specializing in Traditional Chinese Medicine (TCM) with a focus on acupuncture and its applications in treating neurological and internal medical conditions. He earned his Doctorate in Internal Medicine of Traditional Chinese Medicine from Heilongjiang University of Traditional Chinese Medicine and has extensive experience conducting research on cognitive improvement in Alzheimer’s disease through electro-acupuncture therapy. Currently, he is affiliated with the School of Chinese Medicine at the University of Hong Kong, where he explores the molecular mechanisms of TCM therapies for dementia and depression. Dr. Wang is an active member of several professional committees in TCM and has received multiple accolades, including the China National Scholarship and the Yong Investigator Award. His research has been published in high-impact journals, reflecting his commitment to integrating traditional and modern medical practices.

Professional Profile:

Orcid

Summary of Suitability for the Award

Lu Wang exemplifies the qualities of a leading researcher through his extensive educational background, impactful research, and dedication to the integration of traditional and modern medical practices. His commitment to advancing the understanding of traditional Chinese medicine, particularly in the realm of neurodegenerative diseases, positions him as an outstanding candidate for the Best Researcher Award. His accomplishments not only reflect personal excellence but also contribute significantly to the advancement of knowledge and practice in the field.

🎓Education:

Dr. Lu Wang holds an extensive educational background in Traditional Chinese Medicine (TCM). He earned his Doctorate in Internal Medicine of Traditional Chinese Medicine from Heilongjiang University of Traditional Chinese Medicine (SEP 2018 – JUL 2021). Prior to that, he completed his Master’s in Acupuncture and Moxibustion at the same university (SEP 2014 – JUL 2017) and his Bachelor’s in Acupuncture and Moxibustion (SEP 2009 – JUL 2014).

🏢Work Experience:

Dr. Wang has significant clinical and research experience in the field of TCM. He has been a clinician and postdoctoral researcher at The Fifth Affiliated Hospital of Sun Yat-sen University since JUL 2021, focusing on outpatient care for neurological and various internal medical conditions, particularly utilizing acupuncture and Chinese herbal prescriptions. Additionally, he has conducted scientific research on cognitive improvement in Alzheimer’s disease through electro-acupuncture therapy. Currently, he is a postdoctoral researcher at the School of Chinese Medicine, LKS Faculty of Medicine, The University of Hong Kong (SEP 2024 – present), where he investigates TCM therapies for dementia and depression.

🏅Awards and Certifications:

Dr. Lu Wang has received several prestigious awards and certifications that highlight his expertise in Traditional Chinese Medicine. He was honored with the China National Scholarship for two consecutive years (2018-2019; 2019-2020) and achieved third place for the Yong Investigator Award at the 2023 CASNMMI. Additionally, he holds the Qualification Certificate of Traditional Chinese Medicine Attending Physician obtained in 2020, as well as the Practicing Physician of Traditional Chinese Medicine certification awarded in 2017. Dr. Wang also completed the Qualified Resident Physician Standardized Training in 2017 and possesses the Qualification Certificate of Traditional Chinese Medicine Practicing Physician, which he received in 2015. These accolades reflect his dedication and significant contributions to the field of Traditional Chinese Medicine.

Publication Top Notes:

Effectiveness of electro‐acupuncture for cognitive improvement on Alzheimer’s disease quantified via PET imaging of sphingosine‐1‐phosphate receptor 1
Molecular Imaging of Sphingosine-1-phosphate Receptor 1 via PET Tracer [18F]-TZ4877 in Response to Electro-puncture Treatment for Alzheimer’s Disease
Molecular Nuclear Medicinal Imaging in the Translation of Traditional Chinese Medicine