Dr. Sujata Chakravarty
Centurion University of Technology and Management, SOA University, Odisha, India
About
Dr. Sujata Chakravarty, Senior Member of IEEE, is currently working as Dean SoET, Professor of Computer Science & Engineering, and CEO of the Data Science and Machine Learning Research Centre, CUTM, Odisha. There are about 180 Publications, eight patents published, one patent granted, one book and 35 book chapters to her credit. Recently three of her articles have been recognized by WHO and are being listed on the WHO website. Under her guidance, six PhD scholars and about 150 BTechs, 20 MTechs, were awarded. Currently, eight Ph.D. scholars are working in areas like Financial Engineering, Bio-medical engineering, Smart Agriculture, Intrusion Detection, Image Processing, Hyperspectral, and Multispectral Imaging. She is a reviewer of many international journals and conferences. She has been awarded Jhansi Rani Laxmibai Prativa Puraskar for Technical Education and Research on 8th March 2018, Abdul Kalam Chair Professor Award on 5th September 2021 in Provost Research Conclave, Medal of Honour and Certificate of Excellence on 15th August 2022
Employment
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Centurion University of Technology and Management Dean, School of Engineering & Technology, Professor
Education
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SOA University, Odisha, India PhD.2010 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (74)
- A Comprehensive Crop Recommendation System Integrating Machine Learning and Deep Learning Models Save
- Deep learning model for elevating internet of things intrusion detection Save
- Towards Precision Dementia Detection: Integrating ML and Clinical Data Save
- Predicting Alzheimer's Onset through Neuroimaging Save
- Performance Assessment of Different Sustainable Energy Systems Using Multiple-Criteria Decision-Making Model and Self-Organizing Maps Save
- Multi-Class Classification of Chest X-ray Images with Optimized Features Save
- Minimum Noise Fraction and Long Short-Term Memory Model for Hyperspectral Imaging Save
- Machine Learning Approaches for Multi-Class Classification of Skin Cancer Save
- Leveraging ensemble learning for enhanced security in credit card transaction fraudulent within smart cities for cybersecurity challenges Save
- Internet of things-based remote monitoring and classification of Spinacia oleracea leaf disease using deep learning approach Save