Dr. Gurjar Ajay Anil
My Social Links

Dr. Gurjar Ajay Anil

Professor
Sipna College Of Engineering And Technology, Amravati, Maharashtra, India


Highest Degree
Ph.D. in Electronics Engineering from Sant Gadge Baba Amravati University, Amravati, India

Share this Profile

Biography

Presently I am working as a Professor & IQAC & NAAC Coordinator in Sipna’s College of Engineering & Technology Having worked as a NAAC Coordinator, the college has been accorded with Grade A in NAAC in 2018. In addition to Teaching & Research, I worked as an Expert for Orientation Seminar in NAAC & NBA Process in various Institutes of Vidarbha Region. Because of Research Orientation & Contribution, selected on Panel of Examiners for M.E. & PhD in Nagpur, Jalgaon & Mumbai University. Invited as expert to judge National & International technical events and for talks on Research methodology. Recommended as PhD supervisor in Electronics & Information Technology in SGBAU Amravati & NMU Jalgaon University. Received Junior Research Fellowships of CSIR-UGC in 1995. From 2013 Researchers are pursuing PhD in Electronics Engg. & Information Technology, supervised M.E. Dissertation in Electronics Engg. & Information Technology. Main research areas of interest are Spiritual Sciences, Biomedical Signal Processing, Image & Video Signal Processing, Wavelets, and Electromagnetic fields & Microwaves.

The first research project undertaken entitled “Analysis of Time-frequency representation of Acoustic Waveform generated by ‘OM’ to study its effect on nerve system” is appreciated by Ministry of Science & Technology, Higher Technical Education, Sahara TV and England’s Newspaper “Guardian”. Digital Signal Processing techniques are utilized to study the structure of OM Sound. I developed unique mathematical model to dissect and analyze the structure of traditional mantra “OM”. This research in Signal Processing is acclaimed at international level and is recognized all over.

Area of Interest:

Computer Sciences
100%
Communication
62%
Soft Computing
90%
Electronics
75%
Security
55%

Research Publications in Numbers

Books
0
Chapters
2
Articles
55
Abstracts
0

Selected Publications

  1. Ramteke, S.P., A.A. Gurjar and D.S. Deshmukh, 2022. A novel weighted SVM classifier based on SCA for handwritten marathi character recognition. IETE J. Res., 68: 845-857.
    CrossRef  |  Direct Link  |  
  2. Ramteke, S.P., A.A. Gurjar and D.S. Deshmukh, 2018. A streamlined OCR system for handwritten marathi text document classification and recognition using SVM-ACS algorithm. Int. J. Intell. Eng. Syst., 11: 186-195.
    Direct Link  |  
  3. Wankhade, A.A., A.A. Gurjar and S.C. Amt, 2016. Suspect identification by matching composite sketch with photo: A forensic application. Int. J. Eng. Sci., 6: 2377-2379.
    Direct Link  |  
  4. Khandare, K.P. and A.A. Gurjar, 2016. Dental biometric approach for human identification using dental X-ray images of maxillary bone. Int. Res. J. Eng. Technol., 3: 1566-1570.
    Direct Link  |  
  5. Dere, S.N., A.A. Gurjar and C.O.E.T. Sipna, 2016. Human identification using palm-vein images: A new trend in biometrics. Int. J. Eng. Sci., 6: 2298-2299.
    Direct Link  |  
  6. Raut, R.K. and A.A. Gurjar, 2015. Bio-medical (EMG) signal feature extraction using wavelet transform for design of prosthetic leg. Int. J. Elect. Commun. Soft Comput. Sci. Eng., 4: 81-84.
    Direct Link  |  
  7. Raut, R. and A.A. Gurjar, 2015. Bio-medical (EMG) signal analysis and feature extraction using wavelet transform. Int. J. Eng. Res. Applic., 85: 17-19.
    Direct Link  |  
  8. Gulhane, S.A. and A.A. Gurjar, 2015. Content based image retrieval from forensic image databases. Int. J. Eng. Res. Applic., 5: 66-70.
    Direct Link  |  
  9. Korde, N.S. and D.A. Gurjar, 2014. Wavelet based medical image compression for telemedicine application. Am. J. Eng. Res., 3: 106-111.
    Direct Link  |  
  10. Dahake, G.V. and A.A. Gurjar, 2014. A review on enhancing media access using cloud computing for mobile devices. Int. J. Applic. Innovat. Eng. Manage., 3: 415-417.
    Direct Link  |  
  11. Gurjar, A.A. and A.A. Dande, 2013. Black hole attack in Manet's: A review study. Int. J. IT, Eng. Applied Sci. Res., 2: 12-14.
    Direct Link  |  
  12. Dhole, N.P. and A.A. Gurjar, 2013. Detection of speech under stress: A review. Int. J. Eng. Innov. Technol., 2: 36-38.
    Direct Link  |  
  13. Gurjar, A.A., M.S.M. Patil and S.B. Kasturiwala, 2012. Fusion technique for multi-focused images using stationary wavelet packet transform. Int. J. Scient. Eng. Res., 3: 1-8.
    Direct Link  |  
  14. Gurjar, A.A. and V.A. Gulhane, 2012. Disease detection on cotton leaves by eigenfeature regularization and extraction technique. Int. J. Elect. Commun. Soft Comput. Sci. Eng., 1: 1-4.
    Direct Link  |  
  15. Soni, A.H. and A.A. Gurjar, 2011. Microwave based classification of material using neural network. Int. J. Eng. Sci. Technol., 3: 5974-5978.
  16. Soni, A.H. and A. Gurjar, 2011. Microwave based classification of material: A statistical approach. Int. J. Adv. Res. Comput. Sci., 2: 214-216.
    Direct Link  |  
  17. Soliv, M.V.A. and A.A. Gurjar, 2011. An analytical approach to design VLSI implementation of low power, high speed SRAM cell using sub-micron technology. Int. J. Enterprise Comput. Bus. Syst., Vol. 2. .
    Direct Link  |  
  18. Gulhane, V.A. and A.A. Gurjar, 2011. Detection of diseases on cotton leaves and its possible diagnosis. Int. J. Image Process., 5: 590-598.
    Direct Link  |  
  19. Gurjar, A.A. and S.A. Ladhake, 2009. Spectral analysis of sanskrit devine sound OM. Inform. Technol. J., 8: 781-785.
    CrossRef  |  Direct Link  |  
  20. Gurjar, A.A. and S.A. Ladhake, 2008. Time-frequency analysis of chanting Sanskrit divine sound "OM" mantra. Int. J. Comput. Sci. Network Security, 8: 170-175.
    Direct Link  |