Dr. NAVEEN SHARMA

Scientist-E, Bio-medical Instrumentaion

Computer Vision, Machine Learning, Biomedical Imaging (RGB, Thermal, THz), Cyberforensics

Brief Profile

Dr. Naveen Sharma is a Scientist E at CSIR-Central Scientific Instruments Organisation (CSIR- CSIO), Chandigarh. He holds a B.Tech and M.Tech from ABV-IIITM Gwalior and a Ph.D. from the Academy of Scientific and Innovative Research (AcSIR), New Delhi. He has experience across leading software multinationals (KPIT Cummins, TCS) and premier government R&D institutions (CDAC, CSIR), with expertise in Computer Vision, Machine Learning, Biomedical Imaging (Visual, Thermal, and Terahertz), IoMT, and Cyber Forensics.

His current research focuses on developing low-cost, non-contact diagnostic devices that utilize imaging technologies integrated with artificial intelligence. He has significantly contributed to R&D in areas including diabetic foot ulcer detection, compartment syndrome diagnosis, cognitive load assessment in psychiatric patients, and IoMT devices

Dr. Sharma is a Fellow of IETE and a Life Member of the ISCA and Vigyan Bharati (VIBHA).

Current Work Area

Medical Instrumentation & Devices
  • Medical Instrumentation & Devices
  • Diabetic Foot Ulcer
  • Human Cognition Monitoring
  • Muskskeleton disease diagnosis, such as Compartment syndrome, etc.
  • Smart Prosthesis Fitment
  • Smart Foot Mat

Qualification

  • PhD (Engineering Sciences), Academy of Scientific and Innovative Research (AcSIR) New Delhi.
  • M.Tech (Information Technology) from the Indian Institute of Information Technology & Management, Gwalior, MP
  • B.Tech (Information Technology) from the Indian Institute of Information Technology & Management, Gwalior, MP

R&D Interest

Artificial Intelligence, Computer Vision, Biomedical Imaging (RGB, Thermal, & Terahertz), Medical Image Analysis, Smart Healthcare Systems, Non-Invasive Diagnostics, and Intelligent Medical Devices.

Research Publications

1. SHARMA NAVEEN, MIRZA SARFARAJ, RASTOGI ASHU, MAHAPATRA PRASANT K, KUMAR DEEPAK. PFUTnet: A Novel Deep Learning Architecture for Diabetic Foot Severity Mapping and Analysis. IEEE Sensors Journal. 20-03-2024, ,
2. SHARMA NAVEEN, MIRZA SARFARAJ, RASTOGI ASHU, MAHAPATRA PRASANT K. Utilizing Mask R-CNN for Automated Evaluation of Diabetic Foot Ulcer Healing Trajectories: A Novel Approach. Traitement du Signal. 31-08-2023, 40(4), 1601-1610
3. SHARMA NAVEEN, MIRZA SARFARAJ, RASTOGI ASHU, SINGH SATBIR, MAHAPATRA PRASANT K. Region-wise severity analysis of diabetic plantar foot thermograms. Biomedical Engineering / Biomedizinische Technik. 09-06-2023, ,
4. SHARMA NAVEEN, SHARMA NITIN MOHAN, SHARMA APURVA, MIRZA SARFARAJ. Comparison and convergence of compartment syndrome techniques: a narrative review. Expert Review of Medical Devices. 26-04-2023, 20(4), 283-291
5. SINGH ROOP, IZHAR LILA IZNITA, ELAMVAZUTHI IRRAIVAN, ASHOK ALAKNANDA, AOLE SUMIT, SHARMA NAVEEN. Efficient Watermarking Method Based on Maximum Entropy Blocks Selection in Frequency Domain for Color Images. IEEE Access. 13-05-2022, 10, 52712-52723

Patents

Patent(s) Filed
1. METHOD AND DEVICE FOR MEASURING INTRACOMPARTMENTAL PRESSURE
Country Filed: INDIA
Application Number: 202211064425   Date of Filing: 03-11-2023
Inventor(s):  SHARMA NAVEEN, CHANDER S ANUP, BANIBRATA DATTA, MIRZA SARFARAJ, BACHHAL VIKAS


Significant recognition: Awards, Honours and Fellowships

Other Information

Technology (Developed/Transfered/Commercialised) / Software Applications, Algorithms designed/developed/deployed and implemented

· Thermal imaging based non-invasive technique for diagnosis of musculoskeletal disorders (MSD)- Part B: Compartment Syndrome
· Design and Development of Fibre Optic gas Sensors and System for Petroleum Industry – Phase 1

Contact



Email:

naveensharma[dot]csio[at]csir[dot]res[dot]in

Telephone:

01722672211


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