Research in Big Data
Live Video Broadcasting using Mobile Devices and Social Networks:
This project developed a mobile application that can support millions of live video broadcast and maintain all the connections and transmission of videos. The project also leverages social networks such as Facebook to populate the friend list and to broadcast a live video to.
R. Etemadpour, P. Murray, M. Bomhoff, E. Lyons, and A. G. Forbes. Designing and evaluating scientific workflows for Big Data interactions. In Proceedings of IEEE International Symposium on Big Data and Visual Analytics (BDVA), Hobart, Australia, September 2015.
Jongyeop Kim and Nohpill Park. "Identifiation of the Optimal Hadoop Configuration Parameter sets for MapReduce Computing", 3rd International Conference on Applied Computing & Information Technology, Okayama, Japan, July 2015.
Jongyeop Kim, Ashwin Kumar T K, K M George and Nohpill Park. "Performance Evaluation and Tuning for MapReduce Computing in Hadoop Distributed File System", 2015 IEEE International Conference on Industrial Informatics, Cambridge, UK, July 2015.
Sridhar Vemula and Christopher Crick. "Hadoop Image Processing Framework", Proceedings of the 4th IEEE Congress on Big Data, 2015.
Ronak Etemadpour, Paul Murray, and Angus Forbes. "Evaluating Density-based Motion for Big Data Visual Analytics", IEEE International Conference on Big Data, 2014
Xiaofei Hou, Ashwin Kumar T K and Johnson P Thomas. "Dynamic Workload Balancing for Hadoop MapReduce", Proceedings of the 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud), 2014
Hong Liu, Ashwin Kumarasamy and Johnson Thomas. "Efficient Structuring of data in Big Data", Proceedings of the IEEE International Conference on Data Science and Engineering, 2014
Praveen Khethavath, Johnson Thomas and Hong Liu. "Game Theoretic approach to Resource provisioning in a Distributed Cloud", Proceedings of the IEEE International Conference on Data Science and Engineering, 2014
Ashwin Kumar T.K., Jongyeop Kim, K.M. George, and Nohpill Park. "Dynamic Data Rebalancing in Hadoop", ACIS International Journal of Computer & Information Science Vol. 15, Number 1, June 2014
Hong Liu, Johnson Thomas and Praveen Khethavath. "Moving Target with Load Balancing in P2P Cloud', Proceedings of the IEEE Sixth International Conference on Cloud Computing, pp 359-366, 2013
Praveen Khethavath, Johnson Thomas, Eric Chan-Tin, Hong Liu. "Introducing a Distributed Cloud Architecture with Efficient Resource Discovery and Optimal Resource Allocation", Proceedings of the IEEE International Workshop on Performance Aspects of Cloud and Service Virtualization, 2013
Dr. E. Chan-Tin - No Information Provided
Dr. C. Crick: Dr. Crick received his PhD from Yale University in 2009. His research agenda is motivated by two overarching, complementary goals: to ground models of developmental psychology and cognitive science in realized, embodied computational systems; and to use models of human cognition and social development to improve robot control and learning, human-robot interaction and artificial intelligence in general. His current projects include coordination between heterogenous teams of humans and robots, mutual reinforcement learning and skill transfer between humans and robots, human-robot interaction with unmanned aerial systems and explainability for machine learning.
Dr. R. Etemadpour - No information Provided
Dr. K. M. George: Dr. Georgereceived his Ph.D. in mathematics in 1976, from SUNY at Stony Brook (now Stony Brook University). His research interest is big data analytics. He is interested in predictions based on known data. Currently, his research focuses on predictions related to topics/events by analyzing social media data.
Dr. D. Heisterkamp: Dr. Heisterkamp's interests include machine learning, computer vision, computer graphics, computational topology, and big data.
Dr. N. Park: Dr. Park received his degree from Texas A&M University. His research is in design for dependability, blockchain-based web3 technology, artificial emotional intelligence.
Dr. J. Thomas: Dr. Thomas received his PhD from the University of Reading, England. His research interests include security and privacy, cognitive computing, human health, and big data.
Tao Chen: No Information Needed
Xiaofei Hou: No Information Needed
Jongyeop Kim: No Information Needed
Ashwin Kumar Thandapani Kumarasamy: No Information Needed