I am working as Associate Professor, Department of Computer Science and Engineering, Aditya Institute of Technology and Management,  K. Kotturu, Tekkali, Srikakulam Dist.,  A.P., India (AITAM College, Tekkali) 532201

I am expert in  Machine Learning, Deep Learning, Data Mining, Voice analysis, Bio-Informatics, Medical Image processing and  IoT.

My profile that  I pursed Bachelor of Science in Computer Science from Andhra University of A.P, India in 1995 and Master of computer Application from Andhra University in the year 1998. He completed his M. Tech in Computer Science and Engineering from Acharya Nagarjuna University of A.P, India and he completed his Ph.D. in Computer Science and Engineering from GITAM University of A.P, India. He has 19 years of teaching and 13 years of research experience. He is currently working as Associate Professor in Department 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. I have published more than 30 research papers in reputed international journals including SCOPUS indexed and a conference including Springer, Elsevier and it’s also available online. I am a reviewer of reputed journals like Springer, Elsevier, and IEEE. My main research work focuses on Machine Learning, Deep Learning and Data Mining, Data and Big Data Analytics, Voice analysis  Bio-Informatics, Medical Image processing and IoT.

1)Intelligent Parkinson disease prediction using machine learning algorithms TVS Sriram, MV Rao, GVS Narayana, D Kaladhar, TPR Vital International Journal of Engineering and Innovative Technology (IJEIT) 3 (        30) 2013 citations 30

2)Statistical analysis and predicting kidney diseases using machine learning algorithms PS Baby, TP Vital International Journal of Engineering Research and Technology 4 (7)  2015 citaations 20

3)Detection of Routing Anomaly using IDS Architecture based on Agents and Clusters in MANETs DS Rao, TP Vital, TVS Sriram International Journal of Computer Applications 26 (04), 36-40 2011citations 7 

4)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 2019 citations 3

5)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 2020 citation 2

6)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 citations 2

7)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 2015 citations 2

8)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 citation 1

9)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) 2016 citation 1

10)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 2015 citation 1

11)Student Classification Based on Cognitive Abilities and Predicting Learning Performances Using Machine Learning Models TPR Vital, K Sangeeta, KK Kumar International Journal of Computing and Digital Systems 10, 2-13 2020

12)Analysis of Cancer Data Set with Statistical and Unsupervised Machine Learning Methods TP Vital, KD Kumar, HVB Sri, MM Krishna Smart Intelligent Computing and Applications, 267-276 2019

13)A NEURAL NETWORK APPROACH FOR CLASSIFICATION OF KIDNEY DISEASE DATASETS COLLECTED FROM VISAKHAPATNAM OF A.P., INDIA ARS T. Panduranga Vital, M.Y.V. Nagesh, T. Anuradha International journal of innovative research in sicence and engineering 2 (26) 2016

1. Organized One Week Faculty Development Programme on “Intelligent Computing in Data Science” (ICDS-2020) from 16th , June 2020 to 20th  June 2020(Session Timings: 10-12 AM & 3-4.30 PM(Handout session) Department of CSE, Aditya Institute of Technology and Management (Autonomous) (AITAM), Tekkali, A.P, is organizing

2. Organized as a organizer of Webinar " 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, India, Speaker : "Dr. JANMENJOY NAYAK" and  Session  Date and Timing -  Sunday, Aug 9, 2020, 5:00 PM - 7:00 PM (IST).

3. Conducted a One week Faculty Development Program (FDP) on "Deep Learning Using Python" in association with ICT Academy IIT Guwahati, Assam from 4th to 8th November 2019.