Institute of Technology

Dr. Priyank B Thakkar

Dr. Priyank B Thakkar


Total Experience 18 Year
Educational Qualification Ph.D.
Research Area Data & Web Mining, Machine Learning, Soft Computing, Image Processing, Computer Vision and Natural Language Processing
General information
Designation Associate Professor
Office Phone 07930642554
Cabin No PG312
Email priyank.thakkar@nirmauni.ac.in

Dr. Priyank Thakkar has done his Ph.D. from Nirma University and at present he is working as an associate professor in Computer Engineering department, Institute of Technology, Nirma University. He has published more than 18 research papers in international journals and conferences. His research interests include Data and Web Mining, Machine Learning and Soft Computing and their applications. He has served as a program committee member of many international conferences. He is also serving as a reviewer of many national & international journals including.


Experience
Teaching 18 Year 2 Month
Industry -

Specialization
Specialization Areas Data and Web Mining, Machine Learning, Soft Computing
Subject Taught UG Computer Graphics, Data Warehousing and Mining, Advanced Microprocessor, Operating System
Subject Taught PG Database Management System, Data Warehousing and Mining, Web Search and Mining, Data Structure and Algorithms, Machine Learning

Hobbies
Watching and Playing Sports

Dr. Priyank B Thakkar - Achievements


TitleDescriptionAchieved On
Paper Published in Expert Systems with Applications, Elsevier A research paper titled "Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques" is published in Expert Systems with Applications, Elsevier. The journal's statistics are: Impact factor: 2.24 (2014) and 2.571 (5 year), H-index: 98, H5 index: 91, H5 median: 107. July 2015
Dewang Mehta IT Awards 2014 Project titled "Stock Market Analysis using Machine Learning Algorithms" carried out by Jigar Patel (10BCE067) and Sahil Shah (10BCE089) under my guidance won the Dewan Mehta IT Awards - 2014. The award comprised of cash prize of Rs. 1 lac, mementos and certificates. August 2014
Paper Published in Expert Systems with Applications, Elsevier A research paper titled "Predicting stock market index using fusion of machine learning techniques" is published in Expert Systems with Applications, Elsevier. The journal's statistics are: Impact factor: 2.24 (2014) and 2.571 (5 year), H-index: 98, H5 index: 91, H5 median: 107. October 2014

Dr. Priyank B Thakkar - Experience


Institute / OrganizationDesignationDuration
Institute of TechnologyAssociate Professor February 2015 To till date
Institute of Technology, Nirma UniversityAssistant Professor March 2012 To February 2015
Alpha College of Engineering & TechnologyAssociate Professor August 2011 To March 2012
U. V. Patel College of EngineeringAssistant Professor July 2001 To August 2011
Calorex Institute of TechnologyASIC/VLSI Trainer August 2000 To July 2001

Dr. Priyank B Thakkar - Publication


 

Book Chapter

International Conference

TitleISSN / ISBN No PublisherVolumeYear
Surveying Stock Market Portfolio Optimization Techniques 978-1-4799-9992-75th Nirma University International Conference on Engineering (NUiCONE)NA2015
Gujarati Printed Characters Recognition Using Bayes Classifier -Proceedings of 30th IRF International ConferenceNA2015
Opinion Spam Detection Using Feature Selection 978-1-4799-6928-9IEEENA2014

International Journal

TitleISSN / ISBN No PublisherVolumeYear
Gujarati handwritten numeral recognition through fusion of features and machine learning techniques 2046-3405Inderscience32017
Personalized Resource Recommendations using Learning from Positive and Unlabeled Examples 2231-2870 5(1)2016
Comparing Multiple Linear Regression and Linear Support Vector Regression for Predicting in Stock Market 0973-4414International Journal of Computer Science & Communication7(1)2016
RECOMMENDING TAGS FOR NEW RESOURCES IN SOCIAL BOOKMARKING SYSTEM 2231 - 007XInternational Journal of Data Mining & Knowledge Management Process (IJDKP)4(1)2014
ENHANCING MOVIE RECOMMENDER SYSTEM 0976 - 6499International Journal of Advanced Research in Engineering and Technology (IJARET)5(1)2014
WEB PAGE CLUSTERING USING CEMETERY ORGANIZATION BEHAVIOR OF ANTS 0976 - 6499International Journal of Advanced Research in Engineering and Technology (IJARET)5(1)2014
EVALUATION OF USEFULNESS OF UNLABELED DATA IN LEARNING A RECOMMENDER 0973-7391International Journal of Computer Science & Communication (IJCSC)5(1)2014
EXPERIMENTAL EVALUATION OF DIFFERENT CLASSIFICATION TECHNIQUES FOR WEB PAGE CLASSIFICATION 0976 - 6499International Journal of Advanced Research in Engineering and Technology (IJARET)5(5)2014
SPAM DETECTION IN SOCIAL BOOKMARKING SYSTEM– EMPIRICAL EVALUATION 0976 - 6499International Journal of Advanced Research in Engineering and Technology (IJARET)5(6)2014
ASPECT BASED SENTIMENT ANALYSIS OF MOVIE REVIEWS 0976 - 6499International Journal of Advanced Research in Engineering and Technology (IJARET)5(6)2014
Predicting stock and stock price index movement using trend deterministic data preparation and machine learning techniques 0957-4174Expert Systems with Applications, Elsevier42(1)2014
Predicting stock market index using fusion of machine learning techniques 0957-4174Expert Systems with Applications, Elsevier42(4)2014

National Journal

TitleISSN / ISBN No PublisherVolumeYear
Features Fusion based Approach for Handwritten Gujarati Character Recognition 2231-2870Nirma University Journal of Engineering and Technology5(2)2017

Dr. Priyank B Thakkar - Qualification


QualificationSpecializationUniversityPassing Year%Class
Ph.D. Computer Science and Engineering Nirma University Institute of Technology January 2015   
M.E. Computer Engineering Sardar Patel University August 2008 76.00Distinction
B.E. Electronics South Gujarat University Sarvajanik College of Engineering & Technology June 2000 73.00Distinction

Dr. Priyank B Thakkar - Activity


Activity TypeActivity TitlePlaceDateFaculty Role
STTP / SDP / FDP / QIP Contemporary Issues in IoT IT, NU20/06/2016Participant
STTP / SDP / FDP / QIP Contemporary Applications and Research Opportunities in Machine Learning IT, NU20/06/2015Coordinator
STTP / SDP / FDP / QIP BIG DATA: Data Exploration & Visualization Institute of Technology, Nirma University30/06/2014Participant
STTP / SDP / FDP / QIP Mobile Applications Development Technologies Institute of Technology, Nirma University01/07/2013Participant
STTP / SDP / FDP / QIP Machine Learning SVNIT, Surat17/06/2013Participant

Dr. Priyank B Thakkar - Research Projects


TitleFund TypeAgencyStart DateDurationPrincipal Investigator
Study and Development of Domain Adaptive Classification Algorithm for Advanced Earth Observation and Annotation SystemExternal FundingNISAR AO, ISRO01/08/20172 yearsPI - Dr. Tanish Hemalbhai Zaveri, Dr. Priyank B Thakkar,CO PI - Prof. Pooja Prakashbhai Shah
Development of comprehensive Technique for Soil Moisture Estimation using L and S Band Airborne Polarimetric SAR DataExternal Funding - 11/12/20173PI - Dr. Sanjay Garg,CO PI - Dr. Priyank B Thakkar

Dr. Priyank B Thakkar - Project Guided


Project TitleDescriptionDuration
Combining User-based & Item-based Collaborative Filtering   May 2016
Study of Dynamic Linkages in Stock Market   May 2016
Forecasting Solar Energy with Numerical Weather Prediction Data Total incoming solar energy is predicted using numerical weather prediction data from ensemble. May 2015
Stock Market Portfolio Optimization Stock market portfolio is optimized using genetic algorithm. May 2015
Learning from Labelled and Unlabelled Data Impact of unlabeled data in learning a recommender is studied in the project. May 2014
Bookmark Spam Detection Bookmark spam detection problem is modeled as a classification problem. Various classification techniques along with feature selection is applied for bookmark spam detection. May 2014
Web Page Classification Web page classification is addressed by means of various artificial intelligence techniques such as naive-Bayes classifier, support vector machine and particle swarm optimization. May 2014
Aspect Based Sentiment Analysis The focus of this project is to identify aspects and their sentiments from the customers' reviews. May 2014
Opinion Spam Detection The project opinion spam detection focuses on identifying spam reviews and thereby helping customers in buying process. May 2014
Enhancing Movie Recommender System Movie recommender system is enhanced by exploiting weighted tags, ratings, genres, star cast and director information of movies. May 2013
Tag Recommendation In Social Bookmarking System Project focuses on developing automatic tag recommender for social bookmarking system. Recommendation task is modeled as multi-label text classification problem. May 2013
Web page Clustering using Cemetery organization Behavior of Ants Web page clustering problem is solved using swarm intelligence. Algorithm inspired by cemetery organization behavior of ants is employed for clustering web pages. May 2013

Dr. Priyank B Thakkar - PhD Students


StudentResearch TitleResearch FieldStatus
Neha Sisodiya Design and Development of Scalable Data Mining Algorithms for Big Earth Data Scalable Data Mining for Big Earth DataPursuing
Ronakkumar Natavarlal Patel Next Generation Recommender System Recommender SystemPursuing
Dvijesh Bhatt Video summarization Machine learningPursuing