Ms. Juhi Patel
Assistant Professor
Pursuing PhD, MCA
Experience: 9 years
Specialization: Machine Learning, Artificial Intelligence, Generative AI, NoSQL, Monog DB, DBMS, Cloud Computing, Python, PHP, Web Technologies etc.
Research Area: Machine Learning
About
Juhi Patel is an Assistant Professor at GLS University, where she is deeply committed to teaching, mentoring, and guiding students in the field of computer science. With a strong academic foundation and a passion for emerging technologies, she strives to bridge theoretical concepts with practical, real-world applications in her classroom.
She is currently pursuing a PhD in Computer Science, with her research centered on AI-driven recommendation systems and sustainable technologies. Her doctoral work focuses on developing intelligent, data-driven models that support decision-making while promoting environmental and economic sustainability. Her research interests broadly include artificial intelligence, machine learning, recommendation systems, data analytics, and eco-friendly technological solutions.
Alongside her academic responsibilities, Juhi actively engages in research, curriculum development, and academic collaborations. She has contributed to scholarly discussions through research papers, academic projects, and technical initiatives that reflect her interest in applying advanced computational techniques to solve practical problems.
Driven by curiosity and continuous learning, Juhi Patel aims to contribute meaningfully to academia and research by nurturing future professionals and advancing knowledge in intelligent systems and sustainable computing.
J. Patel, T. Bhatt, and A. Joshi, "Navigating GMO Adoption in Agriculture: Balancing Controversies and Benefits," Current Agriculture Research Journal, vol. 12, no. 3, pp. 1415–1423, 2024, doi: 10.12944/CARJ.12.3.32.
Year: 2024
J. Patel and T. Bhatt, "AI-Driven Precision Farming: Leveraging Environmental and Soil Parameters for Accurate Crop Yield Prediction," in Information Systems for Intelligent Systems, A. Iglesias, J. Shin, N. Bhatt, and A. Joshi, Eds., Lecture Notes in Networks and Systems, vol. 1758. Cham, Switzerland: Springer, 2026, ch. 9, doi: 10.1007/978-3-032-13419-6_9.
Year: 2026
J. K. Patel and T. P. Bhatt, "Harnessing Machine Learning for Soil Microbial Biomass Enhancement and Sustainable Agriculture Solutions," in ICT for Intelligent Systems, J. Choudrie, P. N. Mahalle, T. Perumal, and A. Joshi, Eds., Lecture Notes in Networks and Systems, vol. 1507. Singapore: Springer, 2026, ch. 10, doi: 10.1007/978-981-96-8750-3_10.
Year: 2025
J. Patel, T. Bhatt, and A. Joshi, "IoT-Driven Enhancement of Hydroponic Fertilization Efficiency Through Machine Learning: A Data-Centric Strategy," in Proceedings of the 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), Coimbatore, India, 2024, pp. 298–302, doi: 10.1109/ICoICI62503.2024.10696575.
Year: 2024
J. Patel and T. Bhatt, "AI-Driven Precision Farming: Leveraging Environmental and Soil Parameters for Accurate Crop Yield Prediction," in Information Systems for Intelligent Systems, A. Iglesias, J. Shin, N. Bhatt, and A. Joshi, Eds., Lecture Notes in Networks and Systems, vol. 1758. Cham, Switzerland: Springer, 2026, ch. 9, doi: 10.1007/978-3-032-13419-6_9.
Year: 2026
J. K. Patel and T. P. Bhatt, "Harnessing Machine Learning for Soil Microbial Biomass Enhancement and Sustainable Agriculture Solutions," in ICT for Intelligent Systems, J. Choudrie, P. N. Mahalle, T. Perumal, and A. Joshi, Eds., Lecture Notes in Networks and Systems, vol. 1507. Singapore: Springer, 2026, ch. 10, doi: 10.1007/978-981-96-8750-3_10.
Year: 2025
J. Patel, T. Bhatt, and A. Joshi, "IoT-Driven Enhancement of Hydroponic Fertilization Efficiency Through Machine Learning: A Data-Centric Strategy," in Proceedings of the 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), Coimbatore, India, 2024, pp. 298–302, doi: 10.1109/ICoICI62503.2024.10696575.
Year: 2024
No specific achievements listed.
No PhD students listed.