Dr. Sejal Trivedi has 18 years of experience in academia, having earned her Ph.D. in Computer Science and Engineering with a focus on Data Science. Throughout her career, she has worked at various institutes and has been recognized for her dedication and contributions to the field.
Dr. Trivedi has organized numerous technical and cultural events and has served as a resource person, session chair, and guest of honour at multiple institutions. She has published research papers in refereed journals and presented her work at both national and international conferences.
Her efforts have been recognized by esteemed organizations, including IIT Bombay, Gujcost, Internshala and the Chief Minister of Gujarat, particularly for her contributions to spoken tutorials, her role as a resource person for the Gujram STEM Quiz 1 and 2, Internshala Internships, and her success in a pageant.
Education Qualification
- Ph.D. CSE research area Data Science
- M.E Computer
- B.E IT
Area of Interest: DBMS, SQL, Operating System, AI, Data Science, Python, Software Engineering
Academic Experience:
Institute: G H Patel College of Engineering and Technology, Vallabh vidyanagar.
Duration: May 2007 to 2015
Designation: Assistant Professor
Institute: Indus University
Duration: 2017 to 2024
Designation: Assistant Professor
Research & Publication
Paper / Book Title: Advancement in Plant Pathology using Image Segmentation and Deep Learning
Journal / Publication Name: IEEE Xplore
Date: 2023
https://ieeexplore.ieee.org/document/9102681
Paper / Book Title: Text Summarization
Journal / Publication Name: Nova Publisher, Book entitled: Novel Developments in Computational Intelligence Systems and Their Applications in Multidisciplinary Areas
Date: 2023
https://novapublishers.com/shop/novel-developments-in-computational-intelligence-systems-and-their-applications-in-multidisciplinary-areas
Paper / Book Title: Long-Term Temporal Land Analysis of Agricultural Land and Shifting Cultivation Detection.
Publisher : Springer Series (AIS) Algorithms for Intelligent Systems
https://link.springer.com/chapter/10.1007/978-981-16-7389-4_50
Date: 2022
Plant Disease Detection using machine Learning and Image Processing
Publisher: ICTACT
https://ictactjournals.in/ArticleDetails.aspx?id=13689
Date: 2023
Iris Recognition Supported best Gabor Filters and Deep learning CNN Options
https://ieeexplore.ieee.org/document/9102681
Date: 2020
