Dr.Pradeep K R
Assistant Professor
Qualification : B.E, M.Tech , Ph.D
Teaching Experience : 11 Years
Research Experience : 5 Years
Industry Experience : 2 Years
About me:
"Dr. Pradeep K R completed his Ph.D. Degree in Computer Science and Engineering from Visvesvaraya Technological University, Belagavi, Karnataka, India. He has nearly 13 Years of Academic and Industry experience. He has published more than 20 papers in peer-reviewed international journals /conferences proceedings and also has authored a book .Dr. Pradeep K R’s main research work focuses on Health Care Analytics, Computer Vision, Machine Learning and Deep Learning. He has guided several Masters, and Undergraduate students. He also serves as a reviewer for several reputed international conferences and journals and is a life member of MEI and ISTE. Orcid ID : https://orcid.org/0000-0002-9045-801X Scopus ID: 57201839788 Google Scholar Link: https://scholar.google.com/citations?user=RzBpZd4AAAAJ "
"Dr. Pradeep K R completed his Ph.D. Degree in Computer Science and Engineering from Visvesvaraya Technological University, Belagavi, Karnataka, India. He has nearly 13 Years of Academic and Industry experience. He has published more than 20 papers in peer-reviewed international journals /conferences proceedings and also has authored a book .Dr. Pradeep K R’s main research work focuses on Health Care Analytics, Computer Vision, Machine Learning and Deep Learning. He has guided several Masters, and Undergraduate students. He also serves as a reviewer for several reputed international conferences and journals and is a life member of MEI and ISTE. Orcid ID : https://orcid.org/0000-0002-9045-801X Scopus ID: 57201839788 Google Scholar Link: https://scholar.google.com/citations?user=RzBpZd4AAAAJ "
Memberships in Professional Bodies
- MIE
- MISTE
Skills
- Machine Learning
- Python Programming
- Web technologies
Invited Talks Delivered : 4
Workshops Attended/Organized/Invited Talks
- 5-Day Online FDP from 23/08/2021 to 27/08/2021 in Quantum Information Systems and Machine Learning, organized by Dept of CSE, ISE and MCA ,MSRIT ,Bangalore.
- 5-Day Online FDP from 02/08/2021 to 06/08/2021 in Emerging Trends in Computation in association with Cisco Systems (India) Private Limited, Bangalore, organized by Dept of CSE, ISE and MCA ,MSRIT ,Bangalore.
- Five days FDP from 10/05/2021 to 14/05/2021 on Research Innovation in Computer Vision, organized by Kings Engineering College, Chennai.
- AICTE Sponsored One week online Short Term Training Program(Phase-2) from 26/04/2021 to 01/05/2021 on Data Analytics in Machine Learning Techniques organized by Sri Venkateshwara College Of Engineering Vidyanagar, Bangalore-562157.
- AICTE - (ATAL) sponsored one-week FDP from 09/01/2021 - 11/01/2021 on " BLOCKCHAIN ", JSSATEB, Bengaluru-60.
- Seven days FDP from 02/07/2020-08/07/2020 on Moodle Learning Management System, by Spoken Tutorial IIT, Bombay, in association with Government arts and Science College, Thiruvennainallur
- Five days FDP from 26/06/2020- 30/06/2020. on Android App Using KOTLIN by Spoken Tutorial IIT, Bombay in association with Green Thinkerz.
- Five days FDP from 04/06/2020 - 08/06/2020 on NBA and NAAC Accreditation Process organized by M S Ramaiah Institute of Technology, Bangalore.
- Two days FDP on “Embedded system Design and Internet of things (IOT)” , 04/02/2020 to 05/02/2020 held at RRIT, Bengaluru
- Attended one day Workshop, 08/02/2020, on introduction to R and data Science organized by KSSEM, Bengaluru
- Two-Day Faculty Development Program from 03/01/2020 to 04/01/2020 on “Problem Solving with Python” held at K. S. Institute of Technology, Bengaluru.
- Six days Workshop on “Machine Learning” July 09th 2018 to July 14th 2018, organized by SJBIT, Dept. of CSE, Bengaluru.
- Two days National Symposium on Data Science and Statistics – Trends and Challenges, July 4th and 5th 2018 organized by Department of CSE, JSSATE, Bengaluru 4/7/2018.
- Five days FDP on “DATA SCIENCE USING PYTHON”, Jan 08th 2018 to Jan 12th 2018, Organized by Dept. of CSE, ISE and MCA of DSATM, Bengaluru, In association with LINIKODEZ Pvt.Ltd. Bengaluru.
- Two days National seminar On DATA SCIENCE AND ANALTYICS, Nov 2017, organized by Department of Computer Applications, PES University, Bengaluru.
- One day Workshop on “IoT and Cloud Computing - The Coexistence”, Oct 2017, Organized by ISM UNIV, Bengaluru.
- One day FDP on “IEEE Workshop on AI and Deep Learning.”, September 2017 Organized by IEEE, Bangalore & Mumbai section in association with Philips India Pvt.Ltd.
- One day workshop on Intellectual Property Rights for MSME, Aug 2017 organized by JSSATE, Bengaluru.
- Four days FDP on Raspberry Pi and its Applications in IoT, Jan 2017, organized by KSIT, Bengaluru.
- One day FDP on Cloud, Hybrid cloud, NPTEL, organized iON Pride, TCS, Jan 2017 Bengaluru by Bengaluru.
- Two-day national workshop on Accreditation Process for Technical Institutions, Aug 2016 organized by JSSATE, Bengaluru.
- One day workshop on Big Data Analytics for Heath Care, Aug 2016 organized by Dayananda Sagar University, Bengaluru.
- One day FDP on Cloud computing digital learning, NPTEL, organized iON Pride, TCS, May 2016, Bengaluru.
- Two-day workshop on “Managing Big Data” , April 2015 ,organized by Nitte Meenakshi Institute of technology, Bengaluru -64.
- Two-day FDP on “Mobile Application Development on Android Platform”, Jan 2015 organized by Jyothy Institute of technology, Bengaluru -82.
- One-week FDP on “IT Infrastructure Management Services”, Jan 2015 organized by B.N.M. Institute Of technology, Bengaluru -70.
- One day Workshop on parallel programming & concepts, Sept 2010, organized by Shayadri Institute of Technology, Mangalore.
Additional Responsibilities
Journals
| Journal Name | Journal Type | Volume Number | Issue Number | ISSN ISBN | Paper Title |
|---|---|---|---|---|---|
| International Journal of Advanced Science and Technology | International | 29 | 3 | 2005-4238 | Optimized-Deep Neural Network (Op-DNN) Regression Technique for Lung Cancer Survivability Prediction |
| International Journal of future Generation Communication and Networking | International | 13 | 3 | 2207-6360 | OP-DNN: Lung Cancer Survivability Prediction using Novel Optimized-Deep Neural Network Classification Method |
| International Journal of Computer Sciences and Engineering | International | 7 | 13 | 2347-2693 | A Framework for Lung Cancer Survivability Prediction Using Optimized-Deep Neural Network Classification and Regression technique |
| International Journal of Emerging Technologies and Innovative Research | International | 6 | 4 | 2349-5162 | Disease prediction – Breast Cancer In Women using Machine Learning Classification Techniques |
| International Journal of Emerging Technologies and Innovative Research | International | 6 | 4 | 2349-5162 | Predictive Analysis of Soybean Crop Yield |
| International Journal of Scientific Research in Computer Science, Engineering and Information Technology | International | 3 | 3 | 2456-3307 | Survey on automated detection of referable Diabetic Retinopathy using machine learning |
| International Journal of Research in Electronics And Computer Engineering | International | 6 | 1 | 2348-228 | A Review of Lung cancer Prediction System using Data Mining Techniques, Logistic regression, SVM and Naïve Bayes machine learning algorithms |
| International Journal on Future Revolution in Computer Science & Communication Engineering | International | 4 | 4 | 2454-4248 | A Review on Predictive Analysis for Diabetic Blood Glucose and Reduction of over fitting in Diabetes using Deep Learning Neural Network |
| International Journal on Future Revolution in Computer Science & Communication Engineering | International | 4 | 3x | 2454-4248 | A Review of Ensemble Machine Learning Approach in Prediction of Diabetes Diseases |
| International Journal of Computer Trends & Technology | International | 47 | 3 | 2231-2803 | A Collective Study of Machine Learning (ML) Algorithms with Big Data Analytics (BDA) for Healthcare Analytics (HcA) |
| International Journal of advance research in Science and Engineering | International | 6 | 4 | 2319-8354 | A Survey on Predictive Analysis of Cancer Survivability Rate Using Machine Learning Algorithm |
| International Journal of advance Computer Research | International | 3 | 12 | 2249-7277 | Implementation of OpenSSL API’s for TLS 1.2 Operation |
Conferences
| Conference Name | Venue | Date | Paper Title |
|---|---|---|---|
| National Conference on Technological advancement in Computing, NCTAC-2014 | RVCE,Bengaluru | 2014-07-26 | Securing Big Data Using Natural Computing Techniques |
| 2nd International Conference on Contemporary Computing and Informatics (IC3I3i) | Amity University, Noida, | 2016-12-14 | Predictive Analysis of Diabetes using J48 Algorithm of Classification Techniques |
| International Conference on Computational Intelligence and Data Science (ICCIDS 2018) | The NorthCap University, Gurugram | 2018-04-07 | Lung Cancer Survivability Prediction based on Performance Using Classification Techniques of Support Vector Machines, C4.5 and Naive Bayes Algorithms for Healthcare Analytics |
Awards/Recognition/Achievements/Others
MOOCs