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
