Dattaprasad Torse
DR MS Sheshgiri College of Engineering and Technology, Gogte Institute of Technology, Shri Sant Gajanan Maharaj College of Engineering, Maratha Mandal Engineering College
About
Teaching faculty and skilled in Research with python, MATLAB, R, Statistical tools. I actively participate in Faculty Development Programs and Educational Leadership activities. Strong education professional with a Master of Engineering (M.Eng.) degree and Ph.D. in Biomedical (EEG) Signal analysis from Visvesvaraya Technological University, Belagavi, Karnataka, India. I became a Machine Learning (ML) and Deep Learning (DL) enthusiast to develop ML and DL models for health-care and industrial applications.
Employment
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DR MS Sheshgiri College of Engineering and Technology Professor2022 - Present
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Gogte Institute of Technology Associate Professor2018 - 2021
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Gogte Institute of Technology Assistant Professor2005 - 2018
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Maratha Mandal Engineering College Lecturer2004 - 2005
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Hirasugar Institute of Technology Lecturer2001 - 2003
Education
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Gogte Institute of Technology Doctor of philosophy2012 - 2018
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Shri Sant Gajanan Maharaj College of Engineering Master of Engineering2003 - 2007
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Shri Tulja Bhavani College of Engineering Bachelor of Engineering1997 - 2001
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- Scour prediction downstream of an ogee weir using group method of data handling neural network Save
- Design and implementation of low-power, high-speed, reliable and secured Hardware Accelerator using 28 nm technology for biomedical devices Save
- Optimal feature selection for COVID-19 detection with CT images enabled by metaheuristic optimization and artificial intelligence Save
- A Survey on Semantic Communications for Intelligent Wireless Networks Save
- Hardware Implementation of Automated Seizure Detection System using EEG Signals and Edge Computing Save
- A Survey on Brain-Computer Interface and Related Applications Save
- Survey on Internet of Things enabled by 6G Wireless Networks Save
- Detection of leaf disease using hybrid feature extraction techniques and CNN classifier Save
- An optimized design of seizure detection system using joint feature extraction of multichannel EEG signals. Save
- A survey on secured wireless body sensor networks Save