Sahil K. Shah
Also known as: sahil, sks, S.K. Shah
Symbiosis International University, Vidya Prathishthan
0000-0001-5447-7064
About
Sahil K. Shah graduated in Information Technology Engineering from SP Pune University, Pune (India). He received a Masters in Computer Engineering from SP Pune University, Pune (India). He has qualified GATE (CSE) with 92 Percentile. He has received research fellowships from the Indian Academy of Sciences (IASc), Bangalore and the Indian Institute of Technology, Delhi, in the past. He has successfully completed 02 research projects sponsored by SPPU, Pune. His areas of interest include Machine Learning, Deep Learning, Information Retrieval, and Web Mining. He holds professional certification from Microsoft and Oracle on Database Management Systems, Ethical Hacking, Java Programming, Azure, Artificial Intelligence and Data Sciences respectively. He is actively engaged in various programming platforms like Python, R, JAVA etc. and databases like Oracle, MySQL, PostgreSQL, MongoDB, etc. He is an active member of various professional bodies like ISTE,ISRS, IET, IAEng. Apart from research publications at National and International fronts, he also holds 01 Indian patent to his credit. He has around 15+ years of teaching experience and 05 years of research experience. He is currently associated with SIG, Symbiosis International (Deemed University), Pune, India as Assistant Professor in Computer Engineering.
Employment
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Symbiosis International University Assistant Professor2022 - Present
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Vidya Prathishthan Assistant Professor2011 - 2022
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (27)
- Machine Learning-Based Approach for Sugarcane Crop Classification Using Spectral Signature from Sentinel-2 Data in Maharashtra, India Save
- Sugarcane Crop Yield Prediction Using Supervised Machine Learning Techniques Save
- Classification and Phenological Stage Monitoring of Grape Crop using Sentinel-1 and Sentinel-2 Time Series and Deep Learning Techniques Save
- Landfill Suitability Mapping using Satellite Imagery and Machine Learning Techniques: A Case Study for Delhi-NCR, India Save
- Quantification of Sugarcane Crop Water Footprint Using Remote Sensing and Machine Learning Techniques: Case Study of Kolhapur District, Maharashtra, India Save
- Analyzing and predicting PM₁₀ using remote sensing and machine learning: A case study of Delhi, India Save
- DQN Trader: Reinforcement Learning for Automated Trading Save
- Generative AI-Driven Spatial Data Extraction in OpenStreetMap using Natural Language Save
- Leveraging UAV Imagery and Deep Learning for Automated Object Detection Save
- Enhancing Medical Image Quality Using Deep Learning Techniques Save