About
With over sixteen years of experience in academia and research, I am deeply committed to advancing the domains of Machine Learning and Artificial Intelligence. Currently serving as an Associate Professor at Charotar University of Science and Technology (CHARUSAT), I deliver courses in Machine Learning, Data Mining, and Artificial Neural Networks, while actively mentoring undergraduate and postgraduate students in projects and dissertations.
My research interests span across Deep Learning, Natural Language Processing, Computer Vision, and Pattern Recognition, with publications in reputed journals and international conferences. I continuously strive to integrate research insights into teaching, fostering a strong blend of theoretical understanding and practical application among students.
In addition, I hold multiple professional certifications in Python, Neural Networks, and Power BI, enabling me to leverage modern tools and data-driven approaches in both academic and research environments. I remain proactive in upskilling, engaging in collaborative research, and contributing meaningfully to innovation and knowledge advancement within the Machine Learning ecosystem.
Employment
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CHARUSAT Associate Professor2021 - Present
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Parul University Associate Professor2019 - 2021
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Parul University Assistant Professor2017 - 2019
Education
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Nirma University Pursuing PhD2011 - 2016
Projects & Funding
Projects & funding information is unavailable.
Publications (29)
- IoT-Based Smart Cattle Health Monitoring System Using Machine Learning for Real-Time Anomaly Detection Save
- Brain Tumor Detection from MRI Images Using an Ensemble-Based Machine Learning Framework Save
- Evaluation of Optimization Algorithm for Application Placement Problem in Fog Computing: A Systematic Review Save
- Latency Aware Adaptive Ant Colony Algorithm for Service Placement for Healthcare Fog Save
- Advancement in Plant Pathology using Image Segmentation and Deep Learning Save
- Smart Crop Protection Against Animal Encroachment using Deep Learning Save
- DBGC: Dimension-Based Generic Convolution Block for Object Recognition Save
- Long-Term Temporal Land Analysis of Agricultural Land and Shifting Cultivation Detection Save
- Survey of Artificial Intelligence in Agriculture for Optimization of Plant Image Collection, Processing, Disease Detection and Applications of Pesticides Save
- VitaFALL: Advanced Multi-Threshold Based Reliable Fall Detection System Save