khaleelullah shaik
Vignan Institute of Technology and science, VRS & YRN College of Engineering and Technology, Lingayas Institute of Management and Technology
0009-0004-6855-4891
About
I am Khaleelullah Shaik, an Assistant Professor at the "Vignan Institute of Technology and Science", Telangana, India, and a "Research Scholar" at the School of Computer Science and Artificial Intelligence, "SR University", Warangal, India. I have over 12 years of teaching experience in the field of Computer Science and Engineering.
My doctoral research, titled “Multi-Class Supervised Learning for Accurate Leaf Fungus Quantification,” focuses on developing deep learning-based models for the detection, segmentation, and quantification of plant leaf diseases. My broader research interests include Machine Learning, Deep Learning, and Precision Agriculture, with an emphasis on using AI techniques to enhance crop health monitoring and support sustainable farming practices.
I am also passionate about mentoring students, promoting innovation in artificial intelligence, and organizing academic and technical events that bridge research and real-world applications.
Employment
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Vignan Institute of Technology and science Assistant Professor2022 - Present
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VRS & YRN College of Engineering and Technology Assistant Professor2019 - 2022
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Lingayas Institute of Management and Technology Assistant Professor2015 - 2019
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- Automating Tomato Leaf Disease Diagnosis: Insights from Machine Learning and Deep Learning Approaches Save
- Dynamic Multilingual Voice Transcription Using NLP Save
- Comprehensive Surveillance: A Computer Vision Approach to Proctoring Save
- DietRx: Machine Learning Enhanced Disease Specific Nutrition and Precautions Save
- Machine Learning for Web Security: Strategies to Detect and Prevent Malicious Activities Save
- DESIGN AND IMPLEMENTATION OF SMART CARD BASED AUTOMOBILE PARKING SYSTEM USING RFID READER Save
- A Framework for Design and Development of Message sharing using Open-Source Software Save
- A Novel Blockchain based Decentralised Ballot System Save
- Leveraging Machine Learning based Ensemble Time Series Prediction Model for Rainfall Using SVM, KNN and Advanced ARIMA+ E-GARCH Save
- Verifcation of Academic Records Using Hyperledger Fabric and IPFS Save