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| Dr. Panduranga Vital Terlapu |
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| Aditya Institute of Technology and Management , Srikakulam |
| Regular Member |
| Personal Web Site: |
| Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=2032 |
| Short Biography |
| Dr. PanduRanga Vital Terlapu pursed Bachelor of Science in Computer Science from Andhra University of A.P, India in 1995 and Master of computer Application from AndhraUniversity in year 1998. He completed his M. Tech in Computer Science and Engineeringf rom Acharya Nagarjuna University of A.P, India and he completed his Ph.D in ComputerScience and Engineering from GITAM University of A.P, India. He has 19 years of teachingand 13 years of research experience. He is currently working as Associate Professor inDepartment of Computer Science and Engineering, Aditya Institute of Technology and Management (AITAM), India. He is a member of ACM, Life Time Membership from International Computer Science and Engineering Society (ICSES), USA and Life Time Membership from Indian Society for Technical Education (ISTE), New Delhi, India. He has published more than 30 research papers in reputed international journals including SCOPU Sindexed and a conference including Springer, Elsevier and it’s also available online. He is reviewer of reputed journals like Springer, Elsevier and IEEE. His main research work focuses on Machine Learning, Deep Learning and Data Mining, Data and Big Data Analytics, IoT and Computational Intelligence, Voice Analysis and Voice Processing,Bioinformatics |
| List of top 5 publications in the last 5 years |
| Empirical analysis on cancer dataset with machine learning algorithms TPR Vital, MM Krishna, GVL Narayana, P Suneel, P Ramarao Soft Computing in Data Analytics, 789-801 3 2019 Empirical Study and Statistical Performance Analysis with ANN for Parkinson’s Vowelized Data set TPR Vital, GS Murty, KY Rao, TVS Sriram Computational Intelligence in Data Mining, 767-780 2 2020 Student Performance Analysis with Using Statistical and Cluster Studies TPR Vital, BG Lakshmi, HS Rekha, M DhanaLakshmi Soft Computing in Data Analytics, 743-757 2019 A Probabilistic Neural Network Approach for Classification of Datasets Collected From North Coastal Districts of AP, India Using MatLab TP Vital, GSVP Raju, K Sreeramamurthy, VPV Charan Procedia Computer Science 48, 715-721 22015 Empirical Analysis on Uddanam CKD with Unsupervised MLs Including PCA TPR Vital, LV Satyanarayana, GSN Murthy Computational Intelligence in Pattern Recognition, 571-587 1 2020 A neural network approach for classification of kidney disease dataset collected from Visakhapatnam of AP, India TP Vital, MYV Nagesh, T Anuradha, AR Samanthula Int J Innovative Res Sci Eng 2 (2) 1 2016 Data collection, statistical analysis and machine learning studies of cancer dataset from north costal districts of AP, India TP Vital, GSVP Raju, ISS Rao, ADP Kumar Procedia Computer Science 48, 706-714 |
| List of top 5 academic activities during the last 5 years |
1. Organized One Week FDP as a co-convener on “Intelligent Computing in Data Science” (ICDS-2020) [16th - 20th June, 2020] at Department of CSE, Aditya Institute of Technology and Management. 2. Organized Webinar as a convener on " Preparation of Quality Journal Papers and Book Chapters" From, Department of Computer Science and Engineering, Aditya Institute of Technology and Management (AITAM)(Autonomous), Tekkali, Andhra Pradesh. Session Date and Timing – Sun day, Aug 9, 2020, 5:00 PM - 7:00 PM (IST). 3. Attended 9 FDPs one Week, Two Weeks and 30 Days on Deep Learning, Machine Learning, IoT, Image Processing, Networks and Networks security, and Bio-informatics concepts during 2018-2020. 4. Attended 20 webinars from MIR Labs USA on “International Webinar Series sessions” 5. Attended and submitted four papers for various Springer Conferences |