Jignyasa Sanghavi Gandhi

About

Hello! I am Dr. Jignyasa Gandhi,
Passionate Computer Science and Engineering academician, researcher, and mentor with expertise in Artificial Intelligence, Machine Learning, Data Structures, Algorithms, Optimization Techniques, and Software Development. Dedicated to fostering student success through innovative teaching methodologies, outcome-based education, and curriculum development aligned with industry and academic standards. Actively engaged in research with a focus on AI-driven healthcare solutions, medical image analysis, and emerging technologies. Experienced in designing learning experiences, mentoring projects, and contributing to academic excellence through research publications and interdisciplinary collaborations. Committed to bridging the gap between theoretical foundations and real-world applications while continuously exploring opportunities for innovation, research, and professional growth.

Employment

• Nirma University Assistant Professor
  2025 - Present
• GLS University Assistant Professor
  2023 - 2024
• Shri Ramdeobaba College of Engineering and Management Assistant Professor
  2012 - 2021

Education

• Visvesvaraya National Institute of Technology PhD (Computer Science and Engineering)
  2019 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (23)

• Simplified High-Performance Approach for Optic Disk Segmentation from Fundus Images
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-96-6351-4_34
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• Elevate Your Literature Review: Writing Review Papers that Stand Out
  Notion Press 2025
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• An efficient framework for optic disk segmentation and classification of Glaucoma on fundus images
  Biomedical Signal Processing and Control 2024 DOI: 10.1016/j.bspc.2023.105770
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• Ocular disease detection systems based on fundus images: a survey
  Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-023-16366-x
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• Case Study: Pulmonary Nodule Detection Using Image Processing And Statistical Networks
  High-Performance Medical Image Processing 2022
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• Review of Smart Healthcare Systems and Applications for Smart Cities
  Lecture Notes in Electrical Engineering 2020 DOI: 10.1007/978-981-13-8715-9_39
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• Text detection and recognition techniques from images using react native
  International Journal of Advanced Trends in Computer Science and Engineering 2020 DOI: 10.30534/ijatcse/2020/100922020
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• Statistical evaluation of task scheduling algorithms in cloud environments
  International Journal of Advanced Trends in Computer Science and Engineering 2020 DOI: 10.30534/ijatcse/2020/88922020
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• Observing user interface design patterns for websites from a user-experience point-of-view
  International Journal of Advanced Trends in Computer Science and Engineering 2020 DOI: 10.30534/ijatcse/2020/167922020
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• COVID-19 Tweets Textual Analytics Using Machine Learning Classification for Fear Sentiment
  International Journal of Advanced Trends in Computer Science and Engineering 2020 DOI: 10.30534/ijatcse/2020/221952020
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