Institute of Technology

Prof. Monika Gunvantbhai Shah

Prof. Monika Gunvantbhai Shah

Total Experience 20 Year
Educational Qualification M.E.(CSE)
Research Area Computer Architecture, High Performance Computing, Operating System, Modern Database, Database System
General information
Designation Assistant Professor
Office Phone 07930642527
Cabin No PG-306

Prof Monika Shah is associated with Nirma since 2001. She is associated in academic since 1997. She has guided several B.Tech projects and M.Tech. projects. She has contributed in various STTP as an Expert speaker. She has worked in many projects associated with industry / research organization.

Current Activities : Coordinating MIS for the University, Co-PI in one research project, Pursuing PhD
Teaching 18 Year 4 Month
Industry 2 Year
Membership ISTE Life time member

Specialization Areas System Programming, Computer Architecture, Operating System, High Performance Computing , Database Design and Administration, Compiler Construction
Subject Taught UG Design of Operating System, Distributed System, Principles of Compiler Design, Microproessor programming and interfacing, Database Design and Administration, Database System, Data Structure and Algorithms, Client Server Architecture, Special Trends in internet programming
Subject Taught PG Modern Database, Distributed and Parallel Systems, Computer Architecture, Advanced Computing Architecture and Systems, Real Time System

Reading, Exploring new innovation,Social Service

Prof. Monika Gunvantbhai Shah - Achievements

TitleDescriptionAchieved On
Appreciation Certificate from ADOBE MAX Conference Appreciation Certificate from ADOBE MAX Conference in showcase of MERAPI projects for Simulator Project of Oracle Database Administration using ADOBE Flex 2008
Best Performance Award Best Performance Award at STTP for “Advanced Device Driver and DSP Programming” organized by eInfochip, Ahmedabad, Gujarat 2007
Sun Certified Programmer Java Sun Certified Programmer (JCP) 2001

Prof. Monika Gunvantbhai Shah - Experience

Institute / OrganizationDesignationDuration
Nirma UniversityAssistant Professor June 2001 To till date
Navgujarat Collage of Computer Application, Gujarat UniversityLecturer June 1999 To June 2000
Arth InfoTechSenior Programmer June 1997 To May 1999

Prof. Monika Gunvantbhai Shah - Publication


International Conference

TitleISSN / ISBN No PublisherVolumeYear
Parallelization of Velvet using Hybrid Computing 978-81-932712-2-3Academic Science 2016
Sparse Matrix Sparse Vector Multiplication - A Novel Approach 1530-2016IEEE 2015
One dimensional ocean waves displacement prediction system expanding mathematical string equation 978-1-4799-9991-0IEEE 2015
Optimizing Parallel Scan Smith Waterman Algorithm 978-93-84209-35-3IRAJ 2014
An Efficient Sparse Matrix Multiplication for skewed matrix on GPU 978-1-4673-2164-8IEEE 2012

International Journal

TitleISSN / ISBN No PublisherVolumeYear
Sparse storage recommendation system for sparse matrix vector multiplication on GPU 0976-6480IAEME62015
PROS - An Omnipresent Operating System 1797-9617International Journal of Recent Trends in Engineering12009

National Conference

TitleISSN / ISBN No PublisherVolumeYear
Optimizing sparse Matrix-Vector Multiplication on GPU 978-81-920575-9-0National level Conference on Information Processing & Computing. Proceedings of National conference 2011

National Journal

TitleISSN / ISBN No PublisherVolumeYear
A comprehensive survey on oceanography parameters for developing ocean wave displacement prediction system 0974-2115SPB Pharma society82015

Prof. Monika Gunvantbhai Shah - Qualification

QualificationSpecializationUniversityPassing Year%Class
M.E. Computer Science & Engineering Guarat Technological University 2012 79.70Distinction
B.E. Computer Engineering Gujarat Univiersity L.D.College of Engineering 1996 63.00First

Prof. Monika Gunvantbhai Shah - Activity

Prof. Monika Gunvantbhai Shah - Research Projects

TitleFund TypeAgencyStart DateDurationPrincipal Investigator
Parallelization of Molecular Dynamics and Turbulence Codes related to Nuclear Fusion using CUDAExternal FundingInstutute of Plasma Research, Gandhinagar, India.24/12/20132 YEARSPI - Dr. Priyanka Sharma, Mrs. Sutapa Ranjan,CO PI - Prof. Monika Gunvantbhai Shah
DNA Sequencing and Assembly using GPUExternal FundingGUJCOST - - PI - Dr. Vibha Divyesh Patel, Prof. Monika Gunvantbhai Shah
Optimizing Parallelisation of Legacy Code on appropriate HPC platformExternal FundingBRNS01/12/2017 - PI - Dr. Madhuri D Bhavsar, Dr. Gaurang A Raval,CO PI - Prof. Monika Gunvantbhai Shah

Prof. Monika Gunvantbhai Shah - Project Guided

Project TitleDescriptionDuration
Dynamic Charting Framework for graphical analysis in Trace and Debug Tool   May 2015
Automation of IFRS Code Creation Workflow   May 2015
Prediction System For One Dimensional Ocean Wave Displacement This work is focusing to analyze Oceanography parameters and predict ocean wave displacement. It can be useful to reduce impact of Natural calamities and overcome the effects of a natural disaster. It can help to estimate how much area of land surface will be affected by a natural calamity such as the giant waves of Tsunami. we have used oceanography parameters forecast by National Data Buoy Center(NDBC) and availed from Physical Oceanogrphy Distributed Active Archive Center(PODAAC). May 2015
Minimizing Human Intervention and Developing a Method for Build Integration Management and Automation framework with system simulator in user equipment testing for Intel Mobile Modem Platform   May 2015
Pad Ring Assembler Automation   May 2014
Optimizing Bioinformatics Operations using High Performance Computing Advances in DNA sequencing technologies have revolutionized the field of genomics by providing solutions which are cost effective and provide high throughput. This research is largely guided as well as motivated by growing need of many companies working in the field of bioinformatics and life sciences to optimize time and space complexity. This project is aimed to optimize well known DNA sequence Assembly tool 'Velvet'. May 2014
Sentiment Analysis on a Social Network/Media This work propose a standard to mine the sentiment from a well known micro blogging administration Twitter, where clients post their tweets or say their supposition in regards to just about everything. In this proposition, message (tweets) were captured and characterized around their passionate substance as neutral, polar and irrelevant. It dissects the interpretation of different arranging classifiers and focused around their Accuracy. May 2014

Prof. Monika Gunvantbhai Shah - PhD Students