Dr. Pradeep K R
Assistant Professor pradeepkr@bmsit.in
Qualification : B.E,M.TECH,PHD
Teaching Experience : 13 Years 9 Months 16 Days | Research Experience : 0
Industry Experience : 1
Specialization : MACHINE LEARNING , HEALTHCARE ANALYTICS
Date of Joining : 27-10-2021
Dedicated, Resourceful And Goal-driven Professional Educator With A Solid Commitment To The Social And Academic Growth And Development Of Every Child. Highly Motivated Researcher And With A Strong Background In Machine Learning And Health Care Analytics. Excellent Skills In Time Management And Critical Thinking And The Ability To Create Scalable Research Models.
- Green ThinkerZ Emerging Researcher Award 2017 in the field of Computer Science Engineering.
- I2OR Promising Researcher Award 2017 in the field of Big Data, Machine Learning, Data Mining.
- Received best paper award in 2nd International Conference on Research in Business Management and Information Technology(ICRBIT-19) held at RNSIT, Bangalore, for the paper titled "A Framework for Lung Cancer Survivability Prediction Using Optimized-
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Title : Sales Prediction And Fraud Detection Using Machine Learning Techniques
Publication Year : 2023
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Title : Improved Machine Learning Method For Intracranial Tumor
Detection With Accelerated Particle Swarm Optimization
Publication Year : 2021
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Title : Optimized-deep Neural Network (op-dnn) Regression Technique For Lung Cancer Survivability Prediction
Publication Year : 2020
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Title : ” Op-dnn: Lung Cancer Survivability Prediction Using Novel Optimized-deep Neural Network Classification Method "
Publication Year : 2020
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Title : "a Framework For Lung Cancer Survivability Prediction Using Optimized-deep Neural Network Classification And Regression Technique",
Publication Year : 2019
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Title : "disease Prediction – Breast Cancer In Women Using Machine Learning Classification Techniques",
Publication Year : 2019
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Title : "predictive Analysis Of Soybean Crop Yield",
Publication Year : 2019
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Title : "survey On Automated Detection Of Referable Diabetic Retinopathy Using Machine Learning",
Publication Year : 2018
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Title : A Review Of Lung Cancer Prediction System Using Data Mining Techniques, Logistic Regression, Svm And Naïve Bayes Machine Learning Algorithms”
Publication Year : 2018
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Title : “a Review On Predictive Analysis For Diabetic Blood Glucose And Reduction Of Over Fitting In Diabetes Using Deep Learning Neural Network”,
Publication Year : 2018
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Title : “a Review Of Ensemble Machine Learning Approach In Prediction Of Diabetes Diseases
Publication Year : 2018
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Title : “lung Cancer Survivability Prediction Based On Performance Using Classification Techniques Of Support Vector Machines, C4.5 And Naive Bayes Algorithms For Healthcare Analytics”,
Publication Year : 2018
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Title : "a Collective Study Of Machine Learning (ml) Algorithms With Big Data Analytics (bda) For Healthcare Analytics (hca)”,
Publication Year : 2017
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Title : A Survey On Predictive Analysis Of Cancer Survivability Rate Using Machine Learning Algorithm
Publication Year : 2017
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Title : “predictive Analysis Of Diabetics Using J48 Algorithm Of Classification Techniques”
Publication Year : 2016
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Title : “a Comparative Analysis Of Different Scheduling Algorithm For Different Real Time Operating Systems”
Publication Year : 2013
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Title : “implementation Of Openssl Api’s For Tls 1.2 Operation”,
Publication Year : 2013