Dr. SHEFALI SHARMA

Dr. Shefali Sharma, Assistant Professor (SG) in the Department of Electronics & Communication Engineering at Jaypee University of Engineering and Technology (JUET), Guna has rich teaching experience of more than 23 years.

Educational Qualifications

• Ph.D.: Completed at Jaypee University of Engineering and Technology in 2016.

• M.E: Communications from BITS Pilani in 2002.

Professional Background (Prior to JUET)

• Senior Lecturer in Electronics & Communication Engineering at South East Asian College of Engineering & Technology, Bangalore (2007–2009).

• Senior Lecturer in Electronics & Communication Engineering at Galgotias College of Engineering & Technology, Greater Noida (2003–2007).

• Lecturer in ECE at the Institute of Information Technology & Management, Gwalior (2002–2003).

Research & Publications

• Publications: 16 total publications (journal articles, conference proceedings and books)

  • Citation Metrics: Approximately 130 citations

  • Research Domains & Expertise:

    • Digital Image Processing

    • Artificial Neural Networks

    • Biometrics (e.g. hand shape coding, identity verification)

    • Pattern Recognition

    • Telecommunication Networks

    • Microprocessor & Microcontroller Systems

   Publications :

  1.   Shefali Sharma, Gaurav Saxena and Anurag Mahajan, “Local Extrema Gabor Patterns: A Hybrid Approach for Enhanced Palmprint Recognition” Recent Advances in Electrical & Electronic Engineering, Bentham Science Publishers DOI:10.2174/0123520965407832250712064609, September 2025.

  2.  R. Chauhan, S. Sharma and R. Pachauri, “Deep Learning for Massive MIMO: AI-Driven Channel Estimation with Reduced Pilot Usage” AI in Sustainable Energy and Environment (AISES), 24 August 2025.

  3.   R. Chauhan, S. Sharma and R. Pachauri, “Performance Prediction of Conventional and Modified Solar Stills Using Levenberg Marquardt Algorithm-Based Artificial Neural Network Model: An Experimental and Stochastic Evaluation'' Journal of Solar Energy Research, 9(3), 1966-1980. doi: 10.22059/jser.2024.380006.1449, 2024.

  4.   Rishika Chauhan, Shefali Sharma, and Rahul Pachauri, “Modelling and Simulation of various detection algorithms in uplink Massive MIMO systems: A Comparative Analysis” Advances in Engineering Software, Elsevier, Nov 2022.

  5.   Rishika Chauhan, Shefali Sharma, and Rahul  Pachauri, “Deep Neural Network-based Channel Estimation In OFDM Systems”, International Journal of Engineering Research & Technology (IJERT) Vol. 10 Issue 11, November-2021.

  6.   Rishika Chauhan, Shefali Sharma, Rahul Pachauri, Pankaj Dumka and Dhanjay R. Mishra “Experimental and theoretical evaluation of thermo physical properties for moist air within solar still by using different algorithms of artificial neural network” J. Energy storage, vol 30,pp 101408, March 2020.

  7.   Shefali Sharma, Shiv Ram Dubey, Satish Kumar Singh, Rajiv Saxena, Rajat Kumar Singh, “Identity verification using shape and geometry of human hands”, Expert Systems with Applications. Vol.42, No.2, pp. 821-832, Feb 2015. [Citation Index: SNIP: 2.362, SJR: 1.49, Impact Factor: 1.965, H- Index: 85]

  8.   Shefali Sharma, Satish Kumar Singh, Rajiv Saxena , “Centroid-Shape-Signature-Wavelet Descriptor based Hand Biometric System” The Mediterranean Journal of Electronics and Communication, Vol. 11, No. 1, pp. 800-809, Jan 2015.

  9.   Shefali Sharma, Ashutosh Kumar Singh, Rajiv Saxena, “Hand shape coding: A robust approach for human identity verification" i-manager's Journal on Pattern Recognition, Vol.1, No. 3,pp. 8-17, September – November 2014.

  10.    Shefali Sharma, Satish Kumar Singh, Rajiv Saxena, “Hand Biometrics using Weighted Geometrical Features” in 17^th Annual Conference of GAMS and National Symposium on Computational Mathematics & Information Technology, JUET, Guna on December 7-9, 2012.

  11.   Jagrati Gupta, Saahiba Katare, Shefali Sharma , “Spectrum Sensing using Cognitive Radio Network: Energy Detection Technique and its Analysis” Research and Applications: Emerging Technologies Volume 3 Issue 2 , October 2021.

  12. Rishika Chauhan, Shefali Sharma, and Rahul  Pachauri “Deep Neural Network-Based Prediction of the COVID-19 Spread in India,” Research and Applications: Emerging Technologies,  vol. 3, no. 1, pp. 1–11, March 2021.

  13.   Shradha Sharma, Divyank Tambi, Shefali Sharma, “Brain Tumor Extraction from MRI images using a hybridized method of K means Clustering, Watershed segmentation and Morphological operations”, International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-3, Issue-5, May 2015.

  14.   Akash Agarwal , Mayank Singhal , Naina Sehgal , Shefali Sharma, “Fusion of Geometrical and Statistical Techniques for Human Ear Recognition”, International Journal of Emerging Technology and Advanced Engineering Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 4, Issue 1, January 2014).

  15. Dr. Gaurav Saxena, Dr. Shefali Sharma and Dr. Ranu Gupta," Power Electronics”, First Edition, Imprint: Deccan International Academic Publishers, Registered Under MSME, Govt of India, ISBN: 978-81-980462-9-1, DOI: 10.5281/zenodo.13992722, October 2024.

  16. Dr.Shefali Sharma, Dr.Deepak Sharma and Dr.Baliram Gupta, "Hybrid Watermarking Framework Using Discrete Wavelet Transform and Visual Cryptographic Scheme" Current Concepts in Engineering Research and Technology Vol. 1, DOI 10.9734/bpi/ccert/v1/6977.

  • Doctoral Supervision

    • Guided Dr. Rishika Chauhan’s Ph.D. titled “Performance Augmentation of Prediction and Optimization Algorithms in Artificial Neural Network”.

Professional Recognition

• Holds memberships in professional bodies, notably:

  • Fellow of the Institution of Electronics and Telecommunication Engineers (IETE) since 2024.

  • Lifetime member of the Indian Science Congress (since 2010)