Dr. Dhairya Vyas
Shree Drashti Infotech LLP, Sigma Institute of Engineering, Maharaja Sayajirao University of Baroda, Parul institute of Engineering and Technology
0000-0001-7636-4167
About
Dr. Dhairya Vyas is the Managing Director of Shree Srashti Infotech LLP. He earned his Ph.D. in Computer Science and Engineering from The Maharaja Sayajirao University of Baroda (MSU), Vadodara, Gujarat, India, in September 2025. He completed his Master of Engineering in Computer Engineering from Parul Group of Institutes, Gujarat, India, in 2014. He received his B.E. degree in Electronics and Communication Engineering from Sigma Institute of Technology and Engineering Trust, Vadodara, Gujarat, India, in 2012. His research interests include Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. He has published over 80+ research papers in Scopus index international and national journals and conferences.
Employment
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Shree Drashti Infotech LLP Managing Director2021 - Present
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Sigma Institute of Engineering Assistant Professor2015 - 2021
Education
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Maharaja Sayajirao University of Baroda PhD2020 - 2025
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Parul institute of Engineering and Technology Master of Engineering2012 - 2014
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Sigma Institute of Engineering Bachelor of Engineering2008 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (104)
- DenseNet-Based Detection of AI-Generated Driving Scene Images Save
- Brain Tumor Detection Using Machine Learning: A Comprehensive Review Save
- Chandrayaan-3 Mission to the Moon: A Systematic Review of Analysis, Improvements, Challenges and Lunar Science Contribution Save
- Efficient Disease Classification in Cabbage and Its Leaves via Lite Separable Convolutional Neural Network Save
- Augmented Smoothing for Robust CNN Image Classification against Adversarial Attacks Save
- Optimizing ICU Prognosis: A Reproducible Comparative Study of XGBoost and Other Stand-Alone Machine Learning Classifiers Save
- SympTextML: Leveraging Natural Language Symptom Descriptions for Accurate Multi-Disease Prediction Save
- Automated Prediction of Multiple Types of Oral Infections with Transfer Learning Models Save
- Education Literacy Rate Forecasting Using Ensemble Models Save
- Enhancing Digital Forensics: Machine Learning Techniques for Social Media Investigation Save