Dr. Agam Das Goswami

About

Dr. Agam Das Goswami is presently working as Assistant Professor (Sr. Grade) in School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT), Amaravati Campus Andhra Pradesh. He received B.E. degree in Electronics and Communication Engineering from Pt. Ravi Shankar Shukla University Raipur in 2006, the M.E. degree in Communication engineering from SSCET Bhilai, 2010, respectively, and a Ph.D. degree from National Institute of Technology (NIT Rourkela), Orissa, India in 2017. His area of interest includes Biomedical signal processing, Machine learning, and multi-point stochastic simulation.

Employment

• Vellore Institute of Technology (VIT-AP) Assistant Professor (Sr)
  2020 - Present
• C V Raman Global University Associate Professor
  2019 - 2019
• Koneru Lakshmaiah University ASSISTANT PROFESSOR
  2017 - Present
• Shri shankara charya group of institutions senior assistant professor
  2007 - 2012

Education

• National Institute of Technology Rourkela PhD
  2012 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Electrocardiogram signal classification using VGGNet: a neural network based classification model
  International Journal of Information Technology 2022 DOI: 10.1007/s41870-022-01071-z
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• Evaluation of machine learning algorithms for grade estimation using GRNN & SVR
  Engineering Research Express 2022 DOI: 10.1088/2631-8695/ac8912
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• Quantitative analysis of DC–DC converter models: a statistical perspective based on solar photovoltaic power storage
  Energy Harvesting and Systems 2022 DOI: 10.1515/ehs-2021-0027
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• A hybrid model for heart disease prediction using recurrent neural network and long short term memory
  International Journal of Information Technology 2022 DOI: 10.1007/s41870-022-00896-y
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• HEART DISEASE PREDICTION MODEL BASED ON HERDING EXPLORING ALGORITHM WITH LIGHT GRADIENT BOOSTING
  Indian Utility Patent 2022
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• Herding Exploring Algorithm With Light Gradient Boosting Machine Classifier for Effective Prediction of Heart Diseases
  International Journal of Swarm Intelligence Research 2022 DOI: 10.4018/ijsir.302609
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• Maintain Maximum Power Point Tracking of Photovoltaic using SEPIC Converter
  2nd International Conference on Power Electronics & IoT Application in Renewable Energy and Its Control (PARC) GLA University, Mathura, India. Jan 21-22, 2022 2022
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• Application of Machine Learning Models for the prediction of Rheumatoid Arthritis and Osteoarthritis-A Review
  Design Engineering 2021
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• SEPIC & INVERTER BASED PHOTOVOLTAIC MAXIMUM POWER POINT TRACKING SYSTEM USING LPC 2148 & PIC16F87
  2021
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• A Review effect of meditation on heart rate variability
  International Journal of Applied Engineering Research 2021
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