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Overview of  Programme

  • The Fashion Technology program belongs to one of the top autonomous engineering colleges in Maharashtra.
  • Looking at the need of apparel and fashion industry, the institute took an initiative and started Fashion technology program in 2006 with intake of 30.
  • The program offered is recognized as the best B. Tech. program in Fashion technology colleges in Maharashtra
  • This program is NBA accredited. Technology in the apparel industry has been constantly changing and will keep on changing in the future also.
  • The B.Tech (Fashion technology) programme prepares skilled students to be qualified for diverse work profiles available in the apparel-manufacturing and fashion sector.
  • The programme curriculum aims to introduce different essential streams including apparel manufacturing technology, quality management, merchandising, marketing, designing, retailing etc.
  • The programme introduces students to the fundamentals of production and management. Students also get knowledge about fibers, yarns, fabrics, trims and processing of textile and garments.
  • Student gets hands on experience of designing, pattern making, production planning, merchandising, work study and quality control which provide essential operational knowledge relating to future work profiles.
  • The Laboratories and workshops are constantly upgraded to have latest technological equipment and machineries to develop confidence in the graduates, to adapt the constantly changing technology.
  • 100% placement record has been achieved since inception of the program. As a result of this, the program is known for offering good placement in engineering colleges in Maharashtra.
  • Two months in-plant training will provide opportunities for students to acquire necessary skills to become competent professionals.
  • The relevant curriculum, exposure to the industrial practice, interaction with experienced faculty and experts from industry and academia provide necessary skills to the students and make them competent to adapt to the constantly changing technology

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Admission process for PhD is governed by Shivaji University, Kolhapur.

For detailed information click on below link

 

Sr NoNameBranchResearch AreaEmail-IdContact Number
1 Prof. Dr. D. V. Kodavade Computer Science and Engineering Artificial Neural Network, Neural Network, Hybrid Network This email address is being protected from spambots. You need JavaScript enabled to view it. +91 9403310226
2 Prof. Dr. S. K. Shirgave Computer Science and Engineering Web Mining This email address is being protected from spambots. You need JavaScript enabled to view it. +91 9822173290

 

Registered Student Information

Sr NoName of StudentDate of RegistrationResearch TopicName of GuideExpected Completion Date
 1 Mr. Chetan J. Awati 01/07/2017 Design and Development of an Accurate Recommender System Dr. S. K. Shirgave 30/06/2023
 2 Mr. Prashantkumar M. Gavali 01/07/2017 Design and Development of Model for Sentiment Analysis Dr. S. K. Shirgave 30/06/2023
3  Mr. Vivek V. Kheradkar 01/07/2017 Query Optimization in Uncertain and Probabilistic DatabaRecommendeses Dr. S. K. Shirgave 30/06/2023
4  Mr. Kanishka N. Kamble 01/07/2017 Efficient Simple Protocol and Resource Description Framework Query Language (SPARQL) Query Processing for Resource Description Framework (RDF) Store Dr. S. K. Shirgave 30/06/2023
5 Mrs. Dhabarde Rupali Janardhan 01/07/2018 Design and Development of parallel optimization algorithm for forest and flood change detection using satellite hyper spectral images and performance analysis Dr. D.V. Kodavade 30/06/2024
6 Mr.Phalle Anil Shankar 01/07/2018 Automated anomaly detection in video frames using weight optimized convolution neural network Dr. D.V. Kodavade 30/06/2024
7 Mrs. Jadhav Shailaja Babanrao  01/07/2018 Design and development of an integrated ensemble learning framework for improving the performance of real time stream data analysis Dr. D.V. Kodavade 30/06/2024
8 Mrs. Ghatage Trupti Babasaheb 01/07/2018 Content Based Image Retrieval by Clustering High Dimensional Data using Hub-Based DEC with Improved SIFT Feature Extraction Dr. D.V. Kodavade 30/06/2024
9 Mr. Sagare Sandipkumar Chandrakant 01/07/2018 Design and Development of Parallel Algorithm for High-Utility Itemset Mining Dr. D.V. Kodavade 30/06/2024
10 Mrs. Karnik Madhuri Prashant 01/07/2018 A Deep Learning Based Novel Approach for Abstractive Text Summarization Dr. D.V. Kodavade 30/06/2024
11 Mr. Sameer Bhimrao Patil 01/07/2018 Automated Feedback generation of Video Content Delivery using Deep Neural Network Dr. S. K. Shirgave 30/06/2024
12 Ms. Shital Hari Dinde 01/07/2018 Enhancing secure data transmission in IoT based systems using social assisted blockchain technology Dr. S. K. Shirgave 30/06/2024

 

Research Area

  • Artificial Intelligence
  • Machine Learning
  • Web Usage Mining
  • Web Content Mining
  • Visual Cryptography
  • Deep Learning
  • Image processing

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