Mary Jasmine E
Christ University, Dayananda Sagar University, University College of Engineering, Noorul Islam College of Engineering, Sri Sairam College of Engineering, Anna University, Chennai
About
A dedicated academic professional with more than 15 years of teaching experience in Computer Science and Engineering, Artificial Intelligence, and Data Science. Currently serving as an Assistant Professor in the Department of AI and Data Science Engineering at CHRIST University, Bangalore, with expertise in handling both undergraduate and postgraduate courses. With a strong academic foundation and a passion for cutting-edge technologies, specialization lies in Data Analytics, Artificial Intelligence, and Machine Learning. Extensive expertise in programming languages including C, C++, Java, .NET, Oracle, SQL Server, Python, MATLAB and R, and experienced in guiding UG and PG research projects. Research interests include climate change analysis, natural disaster prediction, medical and remote sensing image processing, and predictive analytics.
Employment
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Christ University Assistant Professor2024 - Present
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Dayananda Sagar University Assistant Professor2023 - 2024
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Sri Sairam College of Engineering Assistant Professor2022 - 2022
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Infant Jesus College of Engineering Assistant Professor2017 - 2022
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Loyola Institute of Technology and Science Assistant Professor2010 - 2017
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NIIT .NET Trainer2008 - 2010
Education
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University College of Engineering ME2011 - 2014
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Noorul Islam College of Engineering BE2003 - 2007
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Anna University, Chennai PhD
Projects & Funding
Projects & funding information is unavailable.
Publications (8)
- Integrating multi-sensor data with LSTM for accurate landslide prediction and risk assessment Save
- Aerial Image Segmentation Using YOLO v8 and SAM Pipeline Save
- An Alternative Deep Learning Approach for Early Diagnosis of Malaria Save
- Algorithm and Design Complexity Save
- Forest-based Underwater Temperature Prediction Model for IoT Devices Save
- The role of hyperparameters in predicting rainfall using n-hidden-layered networks Save
- Remote Sensed Image Classification based on Spatial and Spectral Features using SVM Save
- Python with Data Analytics Save