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DHWANI SARVAIYA
Mobile: (+91) 8460387095
E-Mail: dhwani.2611@gmail.com
Job Objective:
Seeking an appealing career in ever growing organization, where a blend of my acquired skills, healthy
attitude, and passion towards work can be utilized in challenging assignments, which will give me an
opportunity to learn new technologies and meaningfully contribute to organizations growth and my
professional growth as well.
Educational Qualification:
Technical Skills:
Operating System: Windows XP, Windows 7, Windows 8, Windows 10
Languages: JAVA, Android
Databases: MS-Access, MySql, SQLyog, Oracle
Tools: Microsoft Visual Studio, Adobe Photoshop, Net Beans, MATLAB, Dreamweaver, Eclipse
Web Technology: HTML, CSS, JavaScript
Industrial Training/Academic Projects:
Research detail (M.E):
Research Area: Image Processing
Theme: Image Compression
Title: Compression of Hyperspectral Image using Compressive Sensing
Compression of hyperspectral images is described using compressive sensing. It is adopted in latest
signal processing technique for acquiring and recovering a sparse signal in the most efficient way.
Compressive Sensing is based on sampling theorem which takes less samples for signal processing and
gives batter performance than the traditional Shannon Nyquist Algorithm. Hyperspectral images
typically demand enormous computational resources in terms of storage, computation, input/output,
throughputs particularly when real-time processing is desired. So, Compressive sensing is best approach
DEGREE INSTITUTE/
UNIVERSITY
YEAR PERCENTAGE/
CPI
CLASS
M.E [CE] L.J. Institute of Engineering
and Technology
2014-16 8.61 Distinction
B.E. [CE] L.J. Institute of Engineering
and Technology
2011-14 7.99 Distinction
HSC GHSEB 2009-10 73.40 % Distinction
SSC GSEB 2007-08 86.15 % Distinction
for compression of hyperspectral images and transforming to different places with acceptable signal –to
–noise ratio (SNR) and compression ratio (CR) than other signal transformation techniques.
Publication:
• Dhwani Sarvaiya, Jay Amin, “Compression of Hyperspectral Image using Compressive
Sensing: A Survey” in Journal of Emerging Technologies and Innovative Research (JETIR),
ISSN: 2349-5162, Vol: 2, Issue: 12, December-2015.
• Dhwani Sarvaiya, Jay Amin, “Compression of Hyperspectral Image using Compressive
Sensing” in International Journal of Advance Research and Innovative Ideas in Education
(IJARIIE), ISSN: 2395-4396, Vol: 2, Issue: 3, May-2016.
Academic project (B.E):
Language: JAVA
Title: Forest Fire Management System
Industry Name: SAC/ISRO
Forest Fire Management System (FFMS) is aimed to pin-point the probable area under fire based on
ground information and to display the shortest path for reaching the destination of fire. This project is
aimed at developing Forest Fire Management System (FFMS) for protected forest area in the country. A
forest fire management System (FFMS) is a desktop based application. This application will find the
location of ‘Fire’ in protected forest based on inputs from field staff. This Forest Fire Management
System will be helpful for managing forest fire incidences in protected forest area in timely manner.
ACADEMIC SEMINAR:
• Presented seminar on ‘SWARM INTELIGENCE TECHNOLOGY’ as a part of 5TH
semester of
BE
• Presented seminar on ‘BRAIN COMPUTER INTERFACE’ during 1th
semester of ME
• Presented seminar on ‘DISTANCE MEASURE FOR HAND GESTURE RECOGNITION
USING FEMD METHOD’ during 3rd
semester of ME
• Presented seminar on ‘DOOR DETECTION WITHIN INDOOR ENVIRONMENT USING
VISION BASED APPROACH’, during 4rth
semester of ME
KEY SKILLS:
• Have ability to work independently and proactively.
• Good at multitasking.
• Good communication skills along with good leadership and interpersonal skills.
• Have good team spirit.
• Self-motivated, sincere and hard working.
• I seek to explore new areas of knowledge and I am a continuous learner.
• Ability to adapt dynamically.
OTHER ACHIVEMENTS:
• Participated in T-Shirt painting competition and secured 2nd
position in Techventture -2010 held
on 8-9th
September at LJIET.
• Handled TREZEX-II event as volunteer in Techventture -2012 held on 12-13th
March at LJIET.
• Participated in the Live Sketching event conducted by Student’s LJIET on 15th
February, 2013 at
LJIET.
• Participated in the Rangoli event and secured 2nd
position, conducted by Student’s LJIET on 16th
February, 2013 at LJIET.
• Participated in the Tatooing event and secured 1nd
position, conducted by Student’s LJIET on 18th
February, 2013 at LJIET.
• Attained workshop on Adobe Photoshop, held on 9-10-11 April, 2013 at LJIET.
• Contributed as a volunteer in GTU Zonal Techfest, held on 21-22nd
March, 2014 at LJIET.
• Participated in faculty development program on “Industrial Approach to Design and Project
Execution using MATLAB” on 6-7-8th
January, 2016 at Cic3 GTU.
PERSONAL DETAILS:
Date of birth : 26th
November, 1992
Marital status : Unmarried
Sex : Female
Language known : Gujarati, Hindi & English
Nationality : Indian
Address : B-23, Sharanam-2, Nr. Dhananjay Tower, Shyamal Cross Road, Satellite,
Ahmedabad - 380015
DECLARATION:
I hereby declare that the above-mentioned information is true to the best of my knowledge and I bear the
moral responsibility for the correctness of the particulars
Dhwani Sarvaiya

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Dhwani Sarvaiya_CV

  • 1. DHWANI SARVAIYA Mobile: (+91) 8460387095 E-Mail: dhwani.2611@gmail.com Job Objective: Seeking an appealing career in ever growing organization, where a blend of my acquired skills, healthy attitude, and passion towards work can be utilized in challenging assignments, which will give me an opportunity to learn new technologies and meaningfully contribute to organizations growth and my professional growth as well. Educational Qualification: Technical Skills: Operating System: Windows XP, Windows 7, Windows 8, Windows 10 Languages: JAVA, Android Databases: MS-Access, MySql, SQLyog, Oracle Tools: Microsoft Visual Studio, Adobe Photoshop, Net Beans, MATLAB, Dreamweaver, Eclipse Web Technology: HTML, CSS, JavaScript Industrial Training/Academic Projects: Research detail (M.E): Research Area: Image Processing Theme: Image Compression Title: Compression of Hyperspectral Image using Compressive Sensing Compression of hyperspectral images is described using compressive sensing. It is adopted in latest signal processing technique for acquiring and recovering a sparse signal in the most efficient way. Compressive Sensing is based on sampling theorem which takes less samples for signal processing and gives batter performance than the traditional Shannon Nyquist Algorithm. Hyperspectral images typically demand enormous computational resources in terms of storage, computation, input/output, throughputs particularly when real-time processing is desired. So, Compressive sensing is best approach DEGREE INSTITUTE/ UNIVERSITY YEAR PERCENTAGE/ CPI CLASS M.E [CE] L.J. Institute of Engineering and Technology 2014-16 8.61 Distinction B.E. [CE] L.J. Institute of Engineering and Technology 2011-14 7.99 Distinction HSC GHSEB 2009-10 73.40 % Distinction SSC GSEB 2007-08 86.15 % Distinction
  • 2. for compression of hyperspectral images and transforming to different places with acceptable signal –to –noise ratio (SNR) and compression ratio (CR) than other signal transformation techniques. Publication: • Dhwani Sarvaiya, Jay Amin, “Compression of Hyperspectral Image using Compressive Sensing: A Survey” in Journal of Emerging Technologies and Innovative Research (JETIR), ISSN: 2349-5162, Vol: 2, Issue: 12, December-2015. • Dhwani Sarvaiya, Jay Amin, “Compression of Hyperspectral Image using Compressive Sensing” in International Journal of Advance Research and Innovative Ideas in Education (IJARIIE), ISSN: 2395-4396, Vol: 2, Issue: 3, May-2016. Academic project (B.E): Language: JAVA Title: Forest Fire Management System Industry Name: SAC/ISRO Forest Fire Management System (FFMS) is aimed to pin-point the probable area under fire based on ground information and to display the shortest path for reaching the destination of fire. This project is aimed at developing Forest Fire Management System (FFMS) for protected forest area in the country. A forest fire management System (FFMS) is a desktop based application. This application will find the location of ‘Fire’ in protected forest based on inputs from field staff. This Forest Fire Management System will be helpful for managing forest fire incidences in protected forest area in timely manner. ACADEMIC SEMINAR: • Presented seminar on ‘SWARM INTELIGENCE TECHNOLOGY’ as a part of 5TH semester of BE • Presented seminar on ‘BRAIN COMPUTER INTERFACE’ during 1th semester of ME • Presented seminar on ‘DISTANCE MEASURE FOR HAND GESTURE RECOGNITION USING FEMD METHOD’ during 3rd semester of ME • Presented seminar on ‘DOOR DETECTION WITHIN INDOOR ENVIRONMENT USING VISION BASED APPROACH’, during 4rth semester of ME KEY SKILLS: • Have ability to work independently and proactively. • Good at multitasking. • Good communication skills along with good leadership and interpersonal skills. • Have good team spirit. • Self-motivated, sincere and hard working. • I seek to explore new areas of knowledge and I am a continuous learner. • Ability to adapt dynamically. OTHER ACHIVEMENTS:
  • 3. • Participated in T-Shirt painting competition and secured 2nd position in Techventture -2010 held on 8-9th September at LJIET. • Handled TREZEX-II event as volunteer in Techventture -2012 held on 12-13th March at LJIET. • Participated in the Live Sketching event conducted by Student’s LJIET on 15th February, 2013 at LJIET. • Participated in the Rangoli event and secured 2nd position, conducted by Student’s LJIET on 16th February, 2013 at LJIET. • Participated in the Tatooing event and secured 1nd position, conducted by Student’s LJIET on 18th February, 2013 at LJIET. • Attained workshop on Adobe Photoshop, held on 9-10-11 April, 2013 at LJIET. • Contributed as a volunteer in GTU Zonal Techfest, held on 21-22nd March, 2014 at LJIET. • Participated in faculty development program on “Industrial Approach to Design and Project Execution using MATLAB” on 6-7-8th January, 2016 at Cic3 GTU. PERSONAL DETAILS: Date of birth : 26th November, 1992 Marital status : Unmarried Sex : Female Language known : Gujarati, Hindi & English Nationality : Indian Address : B-23, Sharanam-2, Nr. Dhananjay Tower, Shyamal Cross Road, Satellite, Ahmedabad - 380015 DECLARATION: I hereby declare that the above-mentioned information is true to the best of my knowledge and I bear the moral responsibility for the correctness of the particulars Dhwani Sarvaiya