Krishna Prasad S J

About

Dr.S J.Krishna Prasad is working as subject matter expert (photonics) at Lab to Market innovation and an Ex Associate Professor in the Department of Electronics and Telecommunication Engineering,M S Ramaiah Institute of Technology. He has put up 30years of experience in teaching. He has completed his doctoral degree on optical sensors and medical diagnostics from Visvesvaraya Technological University in the year Sept 2024, Belgaum Karnataka state. He holds Master of Technology degree from SDM college of engineering Dharwad Karnataka state affiliated to VTU Belgaum and Bachelor’s degree in Electronics and Communication from University of Mysore .Author is permanent member of ISTE and IEEE. He is Fellow IETE. He is also member of Photonics society under IEEE. He has organized several workshops and rendered invited talks in electronics and photonics. Author has published several articles in Journals and conferences and active research member in ETE department MSRIT Bangalore. Author is active reviewer of international journals. His areas of interests are Pattern Recognition and Machine Learning, Optics, Optical Networks and Optical Sensors,Medical diagnostics and design of Operating Systems Orchid Id of author is :0000 − 0002 − 6319 − 7387.

Employment

• Lab to Market Innovations Subject Matter Expert
  2024 - Present
• University Visvesvaraya College of engineering Faculty
  2023 - 2024
• M.S.Ramaiah Institute of Technology Associate Professor
  2006 - 2022
• PES Institute of Technology South Campus Assistant Professor
  2003 - 2006
• Sri Taralabalu Jagadguru Institute of Technology Assistant Professor
  1996 - 2003
• Bapuji Institute of Engineering and Technology Lecturer
  1994 - 1996

Education

• Visvesvaraya Technological University Belagavi PhD(awarded)
  2014 - 2024
• Visvesvaraya Technological University M.Tech(Digital Electronics)
  1999 - 2001
• University of Mysore Bachelor of Engineering
  1984 - 1988

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• Electronic Sensor Measurements In Neurological Tremor Analysis: A Study
  Journal of Neuroquantology 2022
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• Detection and Predictive analytics of Parkinsons disease employing Tremor analysis and Deep learning algorithms
  Natural volatiles and essential oils Journal 2022
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• Performance investigation of polar codes employing polar encoder and successive cancellation decoder in 5G systems and cloud computing
  Natural volatiles and essential oils 2022
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• Neurological tremor simulation using skin tissue model using fiber bragg grating sensors and tremor classification
  Journal of Pharmaceutical and negative results 2022
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• Paddy Leaf Disease Classification and Prediction Using convolutional neural network
  International Conference on Recent trends on electronics information communication and technology 2021
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• Simulation and modelling of Fiber Bragg Grating sensors
  International conference on Recent trends on Electronics Information Communication and technology 2021
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• A cost and power analysis of farmer using smart farming iot system
  Lecture Notes on Data Engineering and Communications Technologies 2021 DOI: 10.1007/978-981-16-0965-7_21
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• Computer Networks, Big Data and IoT
  Springer Singapore 2021 DOI: 10.1007/978-981-16-0965-7
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• Detection and Prediction of Neurological Disorder Using Tremor Signals and Machine Learning Algorithms
  2021 6th International Conference on Recent Trends on Electronics, Information, Communication and Technology, RTEICT 2021 2021 DOI: 10.1109/RTEICT52294.2021.9573755
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• Lung cancer detection with prediction employing machine learning algorithms
  International Journal of Advanced Trends in Computer Science and Engineering 2020 DOI: 10.30534/ijatcse/2020/97952020
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