Academic Contribution

Contribution for the University and other Institutions

• Act as a RUSA coordinator for formatting the RUSA Proposals at State level and University Level R & D Projects
• Nomination as a Senate Member of Dr. Babasaheb Ambedkar Marathwada University, Aurangabad under section 25(2) (U) of the Maharashtra University Act 1994 by the Hon’ble Vice- Chancellor of this
• Develop the course curriculum for PG and UG course in Information Technology and Computer Science (2002-01) in the Capacity of the Chairman of the Committee
• Act as a team manager and jury member of State Level Inter University Research Festival AVISHKAR-(2007-08 and 2009 respectively).
• Perform the role to provide the academic services to the SRT University Nanded (MS), YCMO University Nasik (MS), and Dr. B. A. M. University Aurangabad (MS) as a BOS Member and Faculty to SGB Amravati University Amravati (MS)
• Act as a technical member and expert on committees of various universities like Selection Committee, Affiliation Committee, Technical Committee
• Help to develop the University Computerization
• Given the keynote address, invited talks, seminars and technical lectures in various National- International Conferences, Refresher Course and Orientation Course
• In the capacity of Chief Guest inaugurated various technical symposium (Jalgaon , Aurangabad, Amravati)
• Work as an EC member, Hony. Secretary and Sub Centre Chairman of IETE Aurangabad and taken the sincere efforts to upgrade this sub Centre into the full fledge centre and presently working as a Chairman of the IETE Aurangabad Centre to provide the voluntary services for the society and Nation
• Presently working as a Chairman, for Ad-hoc Board in B.Sc. Networking & Multimedia, Chairman of Paper Setting Committee of M.Sc. Computer Science and act as an Observer and Member of SET Setting and evaluation Committee
• Research Contribution

The research work performed during the last 18 years in the department in the field of Image Processing, Biometrics, Bio-Informatics, & Software Engineering found to be new and challenging. It has started with studying and analyzing the different aspects and prospective to solve the real world problems and gives appropriate findings.

• Medical Imaging:

The basic objective of the medical imaging research work was to provide the optimum solution in terms of quality medical images, for perfect diagnosis.The research work carried

 

out by collecting the medical image databases from the local medical institutes and processed these images using the Image Processing techniques with optimum H/W & S/W cost in comparison to existing medical imaging system available in market.

While handling medical image enhancement short comings found in the process of early detection of the breast cancer, in screening mammogram can be reduced by newly developed image enhancement algorithm using heterogeneous approach (i.e. Morphology, FFT etc.) which found helpful in computerized analysis and detection of cancers missed by radiologists. Similar approach has been studied to analyze ultrasonic images. About 10 articles in International conferences/Journal have been published. This work may extend to generate the critical databases of the various types of medical images for various types of disease diagnosis.

• Biometrics:

In an increasingly digital technology world, among the main innovation prospects and framework of future communication systems, design of database access integral services, e-commerce, remote control of terminals and devices being the result of global services derived from last generation. Some features standout from such future services like authentication in human machine interacting to deal with security and identification problems, that’s why the use of biometric based technology get developed. This is new and emerging technology due to its high degree of maturity and reliability.

Fingerprint The performance of fingerprint recognition system is depends on the quality of input fingerprint image, so huge efforts are required to improving the quality of fingerprint image. In this work the composite algorithm, a novel SWT based Composite methods has been proposed for the Fingerprint Image enhancement. Also compared the performance of before and after of applying these algorithm by extracting features in terms of sensitivity and specificity. This result also reflects the average sensitivity that was 89% and 95% before and after post processing respectively. Similarly, for specificity, we got high specificity after pre- processing i.e. 89% as compare to before i.e. 78%.

Recently moved towards the Face Recognition and the hybrid biometrics (like Face & fingerprint, multiple fingerprints of different fingers etc)

• Handwritten Recognition:

Free style handwriting recognition is a difficult problem, not only because of the great amount of variants in handwriting, but also because of the overlapping and the interconnection of the neighboring character. In this work the development of an investigation of segmentation technique, structural based character classification. The box fitting method has been proposed and it gives 80% of recognition.

• Bio Informatics:

Computational simulation of experimental biology is another application for bioinformatics which is apply to refer to as ‘in silico’ testing. This perhaps an area, which will expand in prolific way, given a need to obtained a greater degree of predictability in animal and human clinical trials. Added to this, is interesting scope that in silico’ testing provides to deal with the brewing hostility towards animal testing.

The sequence based searching and explorations of the biological databases (Plant viruses) are often saves a lot of time in the lab. Identifying homologous sequences provides bases for phylogenetic analysis and sequence pattern recognition. Software for prediction for ORF, genes, exon splice sites, promoter binding sites, repeat sequences, and tRNA gene

 

helps molecular biologist make sense out of unmapped DNAs. Inadequate sequences and data are available on plant viruses, which need further expansion and revision. These sequence need to be characterized for their use in agri biotech and pharmaceuticals. Thus, data Intensive techniques such as high throughput screening and gene expression experiments demand methods to correlate large and diverse datasets. Genomic research requires analysis of large sequences and is heavily dependent upon bioinformatics computation where strict standards, requiring careful data selection for protein model building, followed by adequate testing and validation through bioinformatics tools required.

Bioinformatics research is very large database with complex queries and essential requirements for reliability, availability, and scalability of sequence analysis. Under this study around 1837 Plant virus databases has been studied as per the above mentioned aspect and published 7 articles in world class journals. The work may continue further for gene prediction and drug designing under this scenario.

• Software Engineering:

In this work we had studied the various aspects of traditional and Object Oriented Software Engineering in view of S/W Reliability, various S/W Reliability model has been studied in view of trend analysis, Defect Density, exponential and Logarithmic Model Parameters. It is found that the existing S/W Reliability Models are used late in the implementation phase or operational phase which seems too late to be utilized for enhancing the reliability of the S/W. Since changes made to the S/W design after the product is almost complete requires around 20% to 80% of additional cost. With this motivation we had studied the existing OO Quality models, frameworks and metrics in the early design phase and predicted the reliability focus quality model for OO design through various case studies. The practical exploration to this model using various test cases shows that the R-square and adjusted R-square close to one & zero value of P shows the model validity. The reliability estimation shows that as the CMM level goes on increasing the reliability go on increasing also the team level increases the reliability increases. About 5 articles in International conferences/Journal have been published.

• Geospatial Technology

Geospatial technology is increasingly applied in organizations today for its information-rich and highly visual interface that enables real-time business decisions.The rapid development of Geospatial technologies in recent years has made available new tools and capabilities to Extension services and clientele for management of spatial data. In particular, the evolution of geographic information systems (GIS), the global positioning system (GPS), and remote sensing (RS) technologies has enabled the collection and analysis of field data in ways that were not possible before the advent of the computer.

One of the most important applications of Geospatial Technologies is Agricultural, where we have done Crop area estimation, Crop type classification, Soil type classification and Agriculture Drought Severity Studyby using Multispectral Satellite data of Aurangabad (MS), region.Land use / Land Cover Mapping of various region has been done from 2006 to till date using Multispectral Images of LISS-3, LISS-4, LandSAT-8 etc.; also these Temporal data sets were used to identify a change in LULC. Results have been used for Future planning and better land management for socio-economic development. From 2010 we were working on various SMART CITY Modules to make our city sustainable. For this purpose we have also designed and develop a GIS data base for various applications like Transport Network Analysis, Smart Public Transportation, Health Care information System, Crime Mapping, Solid Waste Management and many more.

 

Our lab is also equipped with a FieldSpec-4 Spectro-radiometer and it is a Non-Imaging Hyperspectral Device used for data collection in both Laboratory as well as in-Situ (on field). By using this Hyperspectral device we have designed a Spectral library of Crop, soil, Plants etc. These data are used for Dieses Identification, Leaf Identification, Soil type classification, Mineral Identification etc.In this remarkable area we have produced 20 research articles in reputed journals.

Sponsored Major Research Projects

1.       Development of Intelligent Biometric Technique in Fingerprint Recognition (Sponsored by University Grants Commission, Budget Rs.- 6.47 Lakh ) This project provides a comprehensive evaluation of fingerprint compression techniques using wavelet and wavelet packet, fingerprint image enhancement techniques, fingerprint image enhancement techniques using SWT, Fourier and spatial domain techniques and finally the feature extraction using mathematical morphology in terms of specificity and sensitivity to increase the robustness of the Automatic Fingerprint Recognition System (AFRS). The main has been given to how compression ratio can increases by selecting appropriate threshold value. The compression ratio of noisy and noiseless fingerprint images are determining by considering number of zeros (NZ) and retain energy (RE) occurs after compression. In this work in first phase we have applied Daubechies, Symlet and Coiflet transforms with different orders to fingerprint images of FVC2002 database. We determined NZ and RE at different orders from 1st to 5th level. If NZs are more, then compression ratio is also more. We found that to get highest compression ratio, the order and level must be high. We have compared these three transforms and their order as well as levels, and found that Coif let is most suitable for fingerprint image compression, because it gives more NZs at 4th order with 5th level. Hence for fingerprint image compression Coif let transform is most suitable. In Second phase a novel SWT based Composite method has been used to deal with fingerprint image enhancement. The new approach adopts the de-noising by SWT. The SWT based composite method provided better results on low contrast and noisy fingerprint images Finally, we have introduced a method for removing superfluous information for genuine fingerprint feature extraction using mathematical morphological operation. This algorithm removes the spikes, spurs and dots very effectively and extracts a clear and reliable ridge map structure from input fingerprint image. We have also compared the performance of before and after of this morphological algorithm by extracting features in terms of sensitivity and specificity. This result also reflects the average sensitivity that was 89% and 95% before and after post processing respectively. Similarly, for specificity, we got high specificity after preprocessing i.e. 89% as compare to before i.e. 78%. About 28 articles in International conferences/Journal have been published. 2.       Development of Multimodal Fingerprint Recognition System through Multiple Impressions and Matching Techniques (Sponsored by University Grants Commission, Budget Rs.- 8.96 Lakh) Automatic pattern recognition system is essential to makes a personal identification by determining the authenticity of specific psychological characteristic (fingerprint) posses by the  user to  improve  the system performance by  considering  performance evolution. At present so many work has done in biometric (Unimodal) recognition system, but these system

 

have limitations in terms of noise in sensed data, intra-class variations, distinctiveness, non- universality (Failure to accept), spoof attack etc. cause poor performance. To overcome these problems the use of multimodal is substitute and influential solution. In this proposed work our object is to develop intelligent biometric techniques by taking multiple impressions (snapshot) and multiple matching algorithms (pattern recognition techniques i.e. advanced matching techniques). Fingerprint matching is basically divided in two categories i.e. Minutiae pattern matching and Structural matching. Recently, observed that taking minutiae types into consideration while matching can increase the system’s accuracy. Therefore, minutiae types should be considered when high-quality images are being used and the minutiae extraction algorithm is reliable. As per our study and reported work, it is observed that due to high distortion of fingerprint image the biometric automatic recognition does not show the higher performance of recognition even though in the well-matured recognition system. So, probable solution for this problem is to take multiple fingerprint images as an input of an individual (multiple fingerprints of different fingers) or can also possible for heterogeneous matching algorithms. For fingerprints point pattern matching, graph-based matching, fuzzy graph model generally used. Further we can extend this study by using advanced pattern recognition techniques, Neural Network, and fuzzy logic. 3.       UGC-SAP(II) DRS Phase I Programme Multimodal Biometrics (Sponsored by University Grants Commission, Budget Rs.- 62.05 Lakh+ Rs. 20.0 Lakh under BSR) Objective: Development of Multimodal biometric system (using Face, Fingerprint, Palm print, Iris, and Signature) by considering the appropriate fusion level for the person’s authentication or identification wherever it required also construction of the multimodal database system. 4.      UGC-BSR One Time Research Grant (Rs. 7.0 Lakh under BSR) two times(2011-12, 2014-15) Objective: Development of Robust Biometric System by considering recent problems and challenges in the biometrics technology through multimodal advance database designing and Neural Network & pattern recognition technique. 5.      DST FIST 2013 (Rs. 120.0 Lakh) Objective: Hyper Spectral Imaging and Non-Imaging data creation analysis and development of the spectral signatures libraries for the classification of vegetation crop, soil & minerals components through GIS applications.

6.       UGC-SAP(II) DRS Phase II Programme Multimodal Biometrics (Sponsored by University Grants Commission, Budget Rs.- 77.75 Lakh) Objective: Development of Multimodal biometric system (using 3D Face, Ear, EEG,ECG, Big Data) by considering the appropriate fusion level for the person’s authentication or identification wherever it required also construction of the multimodal database. 7.       DST Major Research Project entitled, “Design and Development of Hyperspectral Data Analysis Tools and Algorithms for end member Identification” [32.70/- Lakhs] Objective: Design and Development of tools and techniques for Hyperspectral data analysis. The end member would be benefited for the best decision making.   8.       Media Lab Asia, Ministry of Communications and Information Technology, Govt. of India, “Vishvesvaraya PhD Scheme for Electronics and IT”[55.06 Lakhs] Objective: Electronic System Design and Manufacturing(ESDM) and IT/ IT Enabled Services(ITES) sector. 9.       Rashtriya Uchchatar Shiksha Abhiyan (RUSA), RR-Interval Measurement for Heart Rate Variability (HRV) Analysis, [15 Lakhs] Year 2016

 

Objective: This work aims to focus on Heart Rate Variability (HRV) Analysis for innovative biometrics and pre-assessment of Heart-related disease. The outcome of the work is directly converted into pilot product form and then converted into the real market product.

 

10. University Infrastructural Grants for various Department Under Rashtriya Uchchatar Shiksha Abhiyan (RUSA), 2016 [20 Crore]

Objective: The initiative has been taken to develop advance multidisciplinary research in the domain of Geospatial Technology, Sensor Technology and Bar Coding Technology through which Big Data Analysis and Advanced Sensor Development work has been carried out. Along with this the creation of state-of-art research laboratory for all stakeholders.

11. DST National Network Project on “Big Data Analytics – HSRS Data (BDA-HSRS) of Rs. 20 Crore”, our research Project entitled, “Design and Development of Hyper Spectral Data Analysis Tools and Algorithms for End Member Identification”, 2016, [32.96/- Lakhs]. Objective: This is the National project having one of the main objectives is to create national resources databases using Hyper Spectral and Multi Spectral Remotely sensed This big task has been divided into 37 different components on different sub areas at various IIT’s and top level institutes to integrate the multiple sub domain of this Big Data Analytic under one roof.Furthermore after creation of data new algorithms and methods is going to discover and study in different domain. My contribution in this project is to identify the End Member Analysis of Hyper Spectral and Multi Spectral Datasystem.The outcome of this work would significantly contribute for automatic Hyper Spectral Data Classification and miniaturization of the complexity of the problem of un-mixing pixel. It will further found beneficial to high end decision making and supporting system based on the big data analytics of the domain.