Dr. Hirenkumar Kukadiya is an accomplished academician and researcher in the field of Computer Science and Applications, specializing in artificial intelligence, deep learning, and computer vision. He is currently serving as an Assistant Professor at the Gandhinagar Institute of Computer Science and Applications, Gandhinagar University, Gujarat (since August 2024).
He has previously held academic positions at Swarnim Startup and Innovation University (2023–2024), Shree R.P. Bhalodia College, Rajkot (2022–2023), Smt. K.S. Kapashi BCA College, Bhavnagar University (2021–2022), and as a Computer Teacher in various institutions (2014–2020).
Research Contributions & Publications
Dr. Kukadiya has made significant contributions to research in agricultural informatics, medical image processing, and AI-powered disease diagnosis. His work particularly focuses on the application of convolutional neural networks for crop disease detection and medical imaging.
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Indexed Publications: 3 Scopus-indexed journal papers, 7 peer-reviewed journal papers, and 1 conference paper.
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His notable publications include research on cotton leaf disease classification, groundnut crop management, castor oil plant leaf disease detection, brain tumor diagnosis, and evaluation of large language models.
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His research has been published in reputed platforms including Springer Nature, Indonesian Journal of Electrical Engineering and Computer Science, and SN Computer Science.
Conference Participation & Presentations
He has actively participated in multiple international conferences, including:
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1st International Conference on Advancements in Smart Computing and Information Security (ASCIS 2022) – Springer Proceedings.
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COMS2, PiCET-2022, and iSoftComp2022, presenting and engaging with global experts in computing, AI, and security.
Notable Achievements
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Successfully developed ensemble deep learning models for automated plant disease classification.
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Published impactful research in both agriculture and healthcare AI applications.
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Contributed to interdisciplinary research bridging AI and real-world problem-solving in sectors like farming and medicine.
Eligibility for Young Researcher Award
In recognition of his innovative research contributions, active participation in reputed conferences, and impactful publications in emerging domains of AI and deep learning, Dr. Hirenkumar Kukadiya is highly eligible for the “Young Researcher Award” under Scientific Laurels.