DP
Dr. Nisha Patil
MET's Institute of Engineering, Nashik, Guru Gobind Singh College of Engineering and Research Center, Amity University, Shri Jagdishprasad Jhabarmal Tibrewala University, Sandip University
0000-0002-0071-077X
About
Worked as an Assistant Professor with 19 Yrs of experience. Interested in Machine Learning, Deep Learning, Supervised Learning, and Agronomy.
Certified Alteryx Designer - Skilled with the most used tools that are fundamental to data preparation and analysis and can apply knowledge to solve real-world problems.
Employment
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MET's Institute of Engineering, Nashik Assistant Professor2024 - Present
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Guru Gobind Singh College of Engineering and Research Center ASSISTANT PROCESSOR2023 - 2024
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Sandip University ASSISTANT PROCESSOR2011 - 2023
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NDMVP Samaj's RSM Polytechnic LECTURER2008 - 2011
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Suresh dada jain COE ASSISTANT PROCESSOR2007 - 2008
Education
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Amity University Post Doctorate Fello2026 - Present
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Shri Jagdishprasad Jhabarmal Tibrewala University Ph.D2021 - 2024
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Sandip Institute of Technology and Research Centre ME COMPUTER2012 - 2015
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Rural Polytechnic for Women's DIPLOMA1999 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- Multimodal emergency vehicle prioritization through vision–audio fusion and attention-enhanced deep learning for smart traffic signal control Save
- Smart Waste Management and Classification System for Smart Cities using Hybrid Random Forest and ANN Models Save
- Object Recognition and Tracking System to Assist Visually Impaired: A Neural Network-Based Deep RBM Technique Save
- VISUAL CURRENCY VALIDATOR: AN ANDROID APP EMPOWERING THE VISUALLY IMPAIRED WITH IMAGE PROCESSING AND DEEP LEARNING FOR FAKE CURRENCY DETECTION Save
- Gesture Voice: Revolutionizing Human-Computer Interaction with an AI-Driven Virtual Mouse System Save
- Fusion deep learning with pre-post harvest quality management of grapes within the realm of supply chain management Save
- GRAPE QUALITY PREDICTION IN PRE - POST HARVESTING WITH IMPLEMENTATION OF FUSION DEEP LEARNING Save
- SYSTEMATIC APPROACH USING ARTIFICIAL INTELLIGENCE AND IOT BASED TECHNIQUE FOR ACCURATE DETECTION OF CROP DISEASE Save
- GRAPE QUALITY PREDICTION WITH PRE-POST HARVESTING USING FUSION DEEP LEARNING Save
- Intelligent Fog and Edge Computing for Smart Healthcare Informaticsduring Covid-19 Pandemic Save