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Principal, and Professor, Electronics and Telecommunication Engineering Department
Sant Gajanan Maharaj Rural Polytechnic Mahagaon
Dr. Sanjay H. Dabhole
Ph.D E&C, M.E. E&TC, M.I.E.
Principal – Sant Gajanan Maharaj Rural Polytechnic, Mahagaon, Tal- Gadhinglaj-416503, Dist- Kolhapur, Maharashtra State-INDIA. since 2008.
M.- 9767199299, Email – firstname.lastname@example.org
Experience : Teaching Years : 17 yrs. Industrial : 01 Yr.
R&D Projects Undertaken : 01, self power bike (patented through MSBTE Mumbai)
Area of specialization : Image processing, wireless communication, Biomedical and MATLAB based Engineering solutions.
Papers published : 10 (IEEE -04, other journals-06) and 10 (Nal. /Internal. Conferences).
Award/ Rewards and recognition:
Received National level ‘Best Teacher award’ from Aviskar Social and Educational Foundation Kolhapur (M.S.), INDIA; dated 5th Oct. 2014.
Received National level ‘Guru- Dakshina award’ from Education Department Kolhapur (M.S.), INDIA; dated 16th FEB.2015.
Received National level ‘Bharat Vidhya Shiromani Award and Certificate of Education Excellence’ from Indian Solidarity Council, New Delhi; dated 03rd June 2017.-Working as a Board of Study member for Autonomous, Three years Diploma in Engineering at Government polytechnic,Kolhapur, Maharashtra and for Autonomous, B.E.(Electronics) and M.Tech (E&TC) at KIT’s College of Engineering Kolhapur-Maharashtra.
Working as a member for skill development ‘kaushalyaSetu’ special program of Govt. of Maharashtra for dropouts of 8,9 and10th students along with MSBTE, Mumbai.
Working as a Reviewer for 256 international research conferences/ Journal papers connected to EDAS portal.
Life time member of the Institution of Engineers, India. (IEI) apex body (M-150507-0)
Ph.D (E&C) - Chhatrapati Shahu Ji Maharaj University, Kanpur- INDIA - Electronics and Communication Engineering 2016
M.E.(E&TC) - Shivaji University, Kolhapur KIT’s College of Engineering, Kolhapur. 75.44% -First class with Distinction- Electronics and Telecommunication Engineering 2006
B.E. (ETRX) Shivaji University, Kolhapur Walchand College of Engineering, Sangli. 65.13 % First Class - Electronics Engineering -2002
Diploma Ind. ETRX Engg - M.S.B.T.E. Mumbai - First class with Distinction-Industrial Electronics -1999
S.S.C.- Kolhapur Board-75.44% First class with Distinction - General subjects - 1996
Neural Network and Artificial Intelligence
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International Journal of Innovative Technology and Exploring Engineering, eISSN: 22783075, Pages: 1-7, Published: January 2018
Sanjay H. Dabhole and Sharad. T. Jadhav
2nd International Conference on Electronics and Communication Systems, ICECS 2015, Pages: 84-91, Published: 16 June 2015 IEEE
Lifting is an efficient algorithm to implement the discrete wavelet transform in order to overcome the drawbacks of the conventional wavelet transform that does not provide a compact representation of edges which are not in horizontal and vertical directions. The lifting scheme provides a general and flexible tool for the construction of wavelet decompositions and perfect reconstruction filter banks. It has been adopted in JPEG 2000. The paper follows this research line, improved SPIHT based on adaptive coding becomes analyzed and tuned with two dimensional Adaptive Directional Lifting based on CDF 9/7 has structured for lossy to lossless JPEG 2000 image coding. The proposed 2D-ADL scheme incorporates the directionally spatial prediction into the conventional lifting based on 9/7 wavelet transform and forms a novel, efficient and flexible lifting structure with proposed scaling coefficients. In order to obtain better compression on image edge, an improved Set Partitioning In Hierarchical Trees (ASPIHT) algorithm based on prior scanning the coefficients around which there were more significant coefficients was replaced with conventional SPIHT. Although, the proposed 2D-ADL based on CDF9/7 scheme followed by ASPIHT codec significantly reduce edge artifacts and ringing and outperforms the conventional 1D lifting scheme followed by SPIHT upto 12dB as reported.
Sharad. T. Jadhav and Sanjay H. Dabhole
2nd International Conference on Electronics and Communication Systems, ICECS 2015, Pages: 264-270, Published: 16 June 2015 IEEE
The main contribution of this paper is the presentation of a novel tool for WCE image analysis and classification by exploiting color-texture features. The proposed scheme has based on the ingenious combination of optimal selection of image components (IMFs) of BEEMD and DLac, applied on the green/red component of WCE images in order to identify ulcerations and polyp affected images from WCE images. Optimal IMF's of BEEMD was exploited to reveal the intrinsic components (IMFs) of the images in order to achieve data driven, Coefficient of standard Deviation and efficient SVM classifier to boost the distinctness between polyp and ulcer regions. However, DLac analysis facilitates to extract efficient texture characteristics. The proposed approach has evaluated on selected WCE images, captured from patients, depicting ulcer and polyp tissue. The optimum image components (IMFs) that contain the majority of texture information include IMFs 5- 8which produce 100% accuracy for ulcer images. Individual IMFs score up to 80 % classification accuracy, while their higher exploitation as a group enhances the detection rate up to 93.34% for ulcer and 90% for polyp tissue.
S. H. Dabhole, V. A. Gundale, and J. Potgieter
International Conference on Signal Processing, Image Processing and Pattern Recognition 2013, ICSIPR 2013, Pages: 269-274, Published: 2013 IEEE
We present a modified structure of 2-D CDF 9/7 wavelet transforms based on adaptive lifting in image coding. Instead of alternately applying horizontal and vertical lifting, as in present practice, Adaptive lifting performs lifting-based prediction in local windows in the direction of high pixel correlation. Hence, it adapts far better to the image orientation features in local windows. The predicting and updating signals of Adaptive lifting can be derived even at the fractional pixel precision level to achieve high resolution, while still maintaining perfect reconstruction. To enhance the performance of adaptive based modified structure of 2-D CDF 9/7 is coupled with SPIHT coding algorithm to improve the drawbacks of wavelet transform. Experimental results shows that the proposed scaling coefficients of modified structure based on adaptive lifting for image coding technique outperforms JPEG 2000 in both PSNR and visual quality, with the improvement up to 6.0 dB than existing structure on images with rich orientation features.
S. H. Dabhole, V. A. Gundale, and J. Potgieter
International Conference on Signal Processing, Image Processing and Pattern Recognition 2013, ICSIPR 2013, Pages: 112-116, Published: 2013 IEEE
Nowadays wavelet transform has been one of the most effective transform means in the realm of image processing, especially the biorthogonal 9/7 wavelet filters proposed by Daubechies, which have good performance in image compression. Hence, in this paper an attempt has been made to analyse traditional and adaptive lifting based wavelet techniques for image compression. The original image is transformed using adaptive lifting based CDF 9/7 wavelet transform and traditional CDF 9/7 followed by it is compressed using Set Partitioning In Hierarchical Tree algorithm (SPIHT) and the performance was compared with the popular traditional CDF9/7 wavelet transform. The performance metric Peak Signal to Noise Ratio (PSNR) for the reconstructed image was computed. The proposed adaptive lifting algorithm give better performance than traditional CDF9/7 wavelet, the most popular wavelet transforms. Lifting allows us to incorporate adaptivity and nonlinear operators into the transform. The proposed methods efficiently represent the edges and appear promising for image compression. The proposed adaptive methods reduce edge artifacts and ringing and give improved PSNR of 4.69 to 6.09 dB than the traditional CDF 9/7 for edge dominated 2D images.
Efficient lossy Image compression Using Adaptive Directional Lifting Based 9/7 wavelet Transform. International Journal of Emerging Technologies in Computation al and Applied Sciences (Print): 2279- 0047 (Online): 2279-0055 - IJETCAS12- 203 Vol. 02, issue1,pp. 05-11 Aug.-Nov., 2012 30-10-2012
Modified Adaptive Lifting Structure Of CDF,9/7Wavelet With Spiht For Lossy Image Coding, International Journal on Recent Trends in Engineering and Technology(print): 2249-7277(online): 2277-7970), Vol. 8, No. 2,Jan 2013, 01.IJRTET.8-2-2013
An Efficient Codec of 2D Adaptive Directional Lifting Based SPL5/3 With Improved International Journal of Innovative Technology and Exploring ISSN: 2278–3075 (Online) Volume-4 Issue-7, Page No.: 100- 107,December 2014.
Optimal Design of Update and Predictions of Adaptive Directional Lifting based on CDF9/7 or SPL 5/3 for lossy to lossless Image Compression International Journal of Innovative Technology and Exploring Engineering ISSN: 2278–3075(Online) Volume-6 Issue- 5, Page No.: 1-11,October 2016.
Optimum performance of 802.11g WLAN for various chanel conditions National Conference on Sun Rising Technologies,Parshvanath College of Engg.Thane in association with Mumbai,Nov. 2005
Performance evaluation of SPIHT for an efficient Image coding National Conference on advanced computing & Computer Network NCACCN 2007 Dr.Vithalraovikhepatil college of Engg. Ahmednagar, MaharashtraMarch 2007
Performance analysis of embedded Zero Tree wavelet (EZW) coder for 2D images National Conference on advanced computing & Computer Network NCACCN 2007 Dr.Vithalraovikhepatil college of Engg. Ahmednagar, Maharashtra March 2007
Optimum Lloyd-Max quantizer for wireless data transmission through scalable Joint source/ channel coding technique National Conference on advanced computing & Computer Network NCACCN 2007, Dr.Vithalraovikhepatil college of Engg. Ahmednagar, Maharashtra March 2007
Acquisition of images through fling mechatronic kite and camera set up for intelligent Image processing, National Conference on recent trends in manufacturing (NCRTM 2006),KIT”s college of engineering, Kolhapur,7-8 Jan. 2006
Web server on nios-II Embedded processor International Conf. on Advances in manufacturing & technology Management (ICAMTM-2007) Parshvanath College of Engg.Thane in association with Mumbai,18-20 Jan,2007
Atal Community Innovation Centre(ACIC 2019) 244 Lacs INR
DST - NIMAT Project 2019-20 (EAC) 20,000.00 INR
Self Powered Bike (TRL 7)
Homogeneous Charged Compression Ignition Technology
DST Sponsored Three EAC camp (398)
HR TPO Meet (36)
DST sponsored FDP (21)
For Community Training
Support for Capstone and Micro Projects
Expert Lecture, Workshop
Consultancy and Services
Proposal to ACIC
Silver Ranking by AICTE n CII
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Skool Connect-19 (Koushalya Setu), Jointly Organized with MSBTE, Mumbai, Awareness About Technical Education at school Sector. (0.5 Lac INR)
Static Career Fair On 14/6/2018, Jointly Organized with MSBTE, Mumbai, Awareness About Technical Education at Rural Sector. (2 Lacs INR)
VTP Skill Development Courses, Approved By Maharashtra State Skill Development Society
Skill Awareness in Society (6Lacs INR)
Two months Training Course with Stipend Jointly Organized with District Industries Centre Kolhapur Short Term Skill Based Courses. (3 Lacs INR)
State Level Technical Quiz, Competition Jointly Organized with MSBTE, Mumbai, Technical content updates for Electrical group. (1 Lac INR)
Anuttara - A Technical Symposium, @ EVERY YEAR Jointly Organized with Robokart Pvt. Ltd., Mumbai, Competition for Skill sets to empower Engineering (4 Lacs INR)