SHIVASHANKARA N. Email: adsxjt@r.postjobfree.com

Mobile: +91-636*******

Objective

To increase my Knowledge, Experience, and Aptitudes within the organization, to grow as a better person and professional.

Work Experience

Currently working as Software Engineer at Global Buzz Pvt Ltd.

Worked as Guest Lecturer in the Department of Studies in Computer Science, University of Mysore, Mysuru for the academic years from 18/10/2014 to 23/12/2021.

Worked as Cyber Security Analyst at Cyber Security and Privacy Foundation Pvt Ltd from 01/11/2019 to 31/03/2021.

Paper Presentation

Presented a paper entitled Heterogeneous Ternary Tree Based Dynamic Multi Hop (HTTBDMH)-LEACH Energy Efficient Routing Protocols (EERP) in WSN’s in the “International Conference on Recent Trends in Science & Technology (ICRTST -2020)” organized by ATME College of Engineering, Mysuru held on 17th and 18th June 2020.

Workshops, Seminars, And Conferences Attended

1.Attended one day workshop titled ‘Technology in Higher Education’ in collaboration with Karnataka Jnana Aayoga and University of Mysore held on 7th February, 2015 at Senate Bhavan, Manasagangotri, University of Mysore.

2.Participated in the one day “Intel HPC code modernization (Parallelization) workshop 2015” organized by High Performance Computing Centre (HPCC), Department of Studies in Computer Science, Manasagangotri, University of Mysore on 7th July 2015 at Mysuru.

3.Participated in the 3 days National Level Seminar on “Soft Computing Techniques to Pattern Recognition 2016 [SCTPR2015]’ held at Department of Studies in Computer Science, University of Maysore, Mysuru from 3rd to 5th November, 2016.

4.Worked as a VOLUNTEER for the conduction of the First International Conference on “Data Analytics & Learning 2018 [DAL’18]” held at Department of Studies in Computer Science, University of Mysore, Mysuru during 30th & 31st March 2018.

5.Participated in the One Day National Seminar on “APPLICATIONS OF MACHINE LEARNING AND PATTERN RECOGNITION IN BIOINFORMATICS (AMLPRB-2019)” held at Department of Studies in Computer Science, University of Mysore, Manasagangotri, Mysuru, on Monday, 30th SEPTEMBBER 2019.

6.Served as the member of Organising Committee in the DST (Interdisciplinary Cyber Physical System Division) sponsored Three Days “National Level Workshop Data Analytics and Learning (NWDAL-2019)” on “Artificial Intelligence (AI), Machine Learninig (ML) and Deep Learning (DL)” from 18-11-2019 to 20-11-2019 organised by Department of Studies in Computer Science held at VIJNANA BHAVANA, University of Mysore, Manasagangotri, Mysuru – 570006, Karnataka, India.

Other Than Teaching Activity At The University of Mysore

Served as a Member of Library Subcommitte to look after the infrastructure/facilities of the department library at the Department of Studies in Computer Science, University of Mysore, Manasagangotri, Mysuru from 01-12-2020 to 20-12-2020.

Mentored several students, focused academic counseling and career advice to students.

Invigilated PG-CET Examination during the emergency requirement of University of Mysore at various departments across the University Campus on 02-07-2019 (Forenoon and Afternoon Session) and on 04-07-2019 (only Afternoon Session) during the academic year 2019-2020.

Conducted the Dissertation as an External Examinar on 13-06-2019 (Forenoon Session) for Sixth Semester/Final Year M.C.A. Programm of SBRR Mahajana First Grade College, Post graduate wing, Pooja Bhagavath Memorial Mahajana Education Centre, KRS Road, Metagalli, Mysore–570 016, Karnataka, India.

Educational Qualification

Course

University/Board

College/School

Year of passing

M.Phil (Computer Science).

University of Mysore.

Department of Studies in Computer Science, Mysore.

2018.

M.Tech

(Computer Science and Technology).

University of Mysore.

Department of Studies in Computer Science, Mysore.

2014.

B.E

(Computer Science and Engineering).

Visvesvaraya Technological University, Belgaum.

Maharaja Institute of Technology, Mysore.

2012.

Pre-University Examination (PUC).

Government of Karnataka Pre-University Education.

Govt. Maharaja’s PU College,

Mysore.

2008.

SSLC.

Karnataka Secondary Education Examination Board.

Sadvidya High School, Mysore.

2006.

Technical Cognizance

Programming Tools

C, C++, MATLAB, R, Python, HTML 5, CSS, Php, Ajax, Mysql, React JS, Wordpress.

Operating systems

Windows, Linux.

Additional Tools

Solid Edge.

Cyber security tools

Hybrid Analysis, Total Virus, Web of Trust, Wayback Machine, SandBox Analysis, Spam and Spamhaus check, VulnerabilityAnalysis, Anti-phishing monitoring, defacement monitoring.

Subjects of Interest

Data Structures.

Data Clustering.

Algorithms

Machine Learning.

Probability and Statistics

Big Data Analytics

Computer Graphics

Computer Networks

Web designing

Data Base Management System

Concepts of programming in C and C++.

Areas of Research Interest

Dimension Reduction

Big Data Analytics

Image Compression

Project Details

1.ROI Guided Dimension Reduction and Compression of Big Image Frame.

Programming Tool: MATLAB.

Team size: 1.

Degree: Master of Philosophy in Computer Science.

Semester: 2.

Type: Major Project.

Summary: Visual data is the most diverse media having numerous classes growing at an exponential pace in the field of Hyper-spectral imaging. The goal of Hyper-spectral imaging is to obtain the spectrum for each pixel in the image of a scene, to find objects, identify materials, or detecting processes. Despite a large number of classes present in a big image frame, most of the time a user would be focusing on specific vicinity called Region of Interest- RoI. For instance, a doctor would be interested in analyzing the disease affected region from a digital medical image. Similarly, the urban development monitoring agency would be interested to study the changes due to urbanization in a specific region. In such circumstances, an RoI may consist of more than one class and accurate representation of RoI, in turn, should ensure the accurate classification of all the classes present in it. However, processing the RoI could turn out to be challenging for computation when the input is of a high dimensional feature type. Moreover, the presence of irrelevant features in the original input space may degrade the representation of the classes present in the RoI. Unless the relevant features which could represent the RoI accurately are not determined, the classification accuracy of the classes within it cannot be ensured. Therefore, this work proposes a dimensionality reduction technique that is supervised by the knowledge of the RoI so that, the classification of all the classes present within the RoI is expected to be accurate irrespective of the performance of the other region in the input. After the processing of the RoI since the user may be interested in either store or transmit the data, a compression technique is also developed in the dimensionally reduced input space for the volume reduction to facilitate effective storage and transmission. The selection of the region of interest is pre-decided. The proposed method is validated with a standard dataset like the Fisher Iris data set and Rosis, University of Pavia hyper-spectral data set. Overall, the proposed method demonstrates that the Region of Interest guided dimensionality reduction and compression of a big image frame.

2.Lossless Recovery of Selected Regions.

Programming Tool: MATLAB

Team size: 1

Degree: Master of Technology

Semester: 4.

Type: Major Project.

Summary: In the literature of image compression, generally we find two popular compression schemes, where the entire image is either losslessly or lossily compressed. However, in case we require some part of the image to be losslessly compressed; with the available techniques, the whole image has to be losslessly compressed which consumes more space than actually required. Therefore in this work, we present a novel method of losslessly compressing and recovering of selected regions of interest within the image, while leaving the remaining part of the image to undergo lossy compression, which results in consuming less amount of memory when compared to lossless compression of the entire image. To demonstrate this objective we employ JPEG and Huffman compression algorithms for respective lossy and lossless compression and recover the selected regions of interest. The selection of region of interest is pre-decided; however, the extraction of region of interest is automated with a thresholding technique. The proposed method is validated with a dataset consisting of exam hall tickets, application forms, and university library and driving license cards. Overall, the proposed method demonstrates that lossless recovery of selected regions result in compression ratio between lossy and lossless compression schemes.

3.Centralized Voting System.

Programming Tool: C#, SQL, micro C.

Team size: 4.

Degree: Bachelor of Engineering in Computer Science and Engineering.

Semester: 8.

Type: Major Project.

Summary: This project provides a platform for a clean polling process by allowing the voter to vote based on the voting location and the unique RF identity card given to him with levels of authentication. This ensures that the election is carried out more fairly and security provided is more.

4.Curves and Mesh Implementation.

Programming Tool: Visual Basics.

Team size: 2.

Degree: Bachelor of Engineering in Computer Science and Engineering.

Semester: 4.

Type: Mini Project.

Summary: Implemented Event Handling on the shapes like curves and meshes, added some feature like texturing, coloring, and rotational effects through GUI interaction.

Personal Skills

Willingness to work in a team with enthusiasm to learn new things, diplomacy in dealing with people, posing creative and innovative ideas for the positive grouth of the organization, good written and verbal communication skills.

Personal Information

Name : Shivashankara N.

Marital status : Bachelor

Date of birth : 21-05-1990

Father’s name : Nagarajamurthy

Mother’s name : Manjula M.

Nationality : Indian.

Religion : Hindu.

Hobbies : Photography, Internet Surfing, Playing Cricket

Languages known : Kannada, English, Hindi, Malayalam.

Residential address : # LIG 141 2nd stage, 3rd cross, Gangotri HUDCO Layout, Mysore -570 009

E-mail id : adsxjt@r.postjobfree.com

Phone no : +91-636*******

I hereby declare that the above information is correct to the best of my knowledge.

SHIVASHANKARA N.

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