Computer Science

Johnson P Thomas


Professor and Graduate Coordinator
Computer Science Department
Oklahoma State University


Office (Stillwater): 201 MSCS
Office (Tulsa): 325 North Hall
(918) 594-8503
j@pt@cnos.o.comkstate.edu

Areas of Interest

  • Big Data - Cleaning, Analytics, Security, Hadoop, Spark
  • Health data and signal analytics - Heart rate and Respiratory rate variability
  • Security and Privacy
  • Cognitive Computing
  • Mobile and Sensor Networks

Education

  • B.Sc - Electrical Engineering, University of Wales
  • M.Sc - Electrical Engineering and Computer Science, University of Edinburgh, Scotland
  • Ph.D - Computer Science, University of Reading, England

Research

Selected Journal Articles

  • T.K.Ashwin Kumar, J.P. Thomas and S Parepally. An Efficient and Secure Information Storage and Retrieval Framework for Content Centric Networks. Journal of Parallel and Distributed Computing (Elsevier). 2017.
  • Praveen Khethavath, Johnson P Thomas and Eric Chan-Tin. Towards an efficient Distributed cloud computing architecture. Peer-to-peer Networking and Applications (Springer), DOI: 10.1007/s12083-016-0468-x, 2016
  • Hong Liu, Johnson Thomas and Praveen Khethavath. Moving Target with Load Balancing in a Hierarchical Cloud. International Journal of Cloud Computing (IJCC). Vol. 2. No. 3. 2014
  • ZhengMing Shen and Johnson Thomas. Security and QoS Self-Optimization in Mobile Ad Hoc Networks. IEEE Transactions on Mobile Computing. Volume 7. Issue 9. September 2008
  • Sandhya Peddabachigari, Ajith Abraham, Crina Grosan and Johnson Thomas. Modeling Intrusion Detection System Using Hybrid Intelligent Systems. Journal of Network and Computer Applications. Elsevier Science. Volume 30. Issue 1. January 2007

Selected Conference Articles

  • Hong Liu, Ashwin Kumar TK, Johnson P Thomas and Xiaofei Hou. Cleaning Framework for BigData: An Interactive approach for Data Cleaning. 2nd IEEE International Conference on Big Data Computing Service and Applications (IEEE BigDataService). 2016
  • Xiaofei Hou, Doyel Pal, Ashwin Kumar T K, Johnson Thomas and Hong Liu. Privacy Preserving Rack-based Dynamic Workload Balancing for Hadoop MapReduce. 2nd IEEE International Conference on Big Data Security on Cloud (BigDataSecurity). 2016
  • Ashwin Kumar TK, K M George and Johnson P Thomas. An empirical approach to detection of topic bubbles in tweets. Proceedings 2nd IEEE/ACM Symposium on Big Data Computing. 2015
  • Doyel Pal, TingtingChen and Johnson Thomas. Sequential Pattern Mining Across Multiple Medical Sites. Annual Symposium of the American Medical Informatics Association. Poster. 2015
  • Hong Liu, Ashwin Kumarasamy and Johnson Thomas. Cleaning Framework for Big Data. IEEE BigData Congress 2015, Research Track
  • Doyel Pal, Praveen Khethavath*, Johnson Thomas and Tingting Chen. Multilevel Threshold Secret Sharing in Distributed Cloud. 3rd International Symposium on Security in Computing and Communications. Springer Communications in Computer and Information Science Series (CCIS): Security in Computing and Communications ISSN: 1865:0929, 2015
  • Xiaofei Hou, Ashwin Kumar T K and Johnson P Thomas. Dynamic Workload Balancing for Hadoop MapReduce. 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014)
  • Dileep Nagireddygari and Johnson Thomas. MAC-TCP Cross-Layer attack and its Defense in Cognitive Radio Networks. Proceedings 10th ACM International Symposium on QoS and Security for Wireless and Mobile Networks. 2014
  • Hong Liu, Ashwin Kumarasamy and Johnson Thomas. Efficient Structuring of data in Big Data. Proceedings IEEE International Conference on Data Science and Engineering. 2014

Ph.D Students

  • Ashwin Kumarasamy - Big Data Security
  • Hong Liu - Big Data Cleaning
  • Xiaofei Hou - Load Balancing in Hadoop
  • Goutam Mylavarapu - Machine Learning in Health Data Analytics

Research supported by:

  • National Science Foundation
  • United States Department of Agriculture
  • Department of Defense - Army Research Office
  • NASA Epscor
  • Oklahoma State University