Systems Simulation and Modeling for Cloud Computing and Big Data Applications

J. Dinesh Peter is Program Coordinator for the Department of Computer Sciences Technology at Karunya University, and author of more than 25 academic articles/chapters/conference papers. He has been active in government and industry as the developer of new technologies including Digital Image Processing, Virtual Reality Technology, Medical Image Processing, Computer Vision, and Optimization. He has been Guest Editor of a special issue of the Elsevier journal Computers and Electrical Engineering, and Guest Editor of special issues of the Journal of Cloud Computing and Journal of Big Data Intelligence. Dr. Peter received his Ph.D. in Computer Science and Engineering from National Institute of Technology Calicut, India. Post-Doctoral Research, Department of Electrical and Computer Engineering , University of Alabama at Birmingham, USA Ph.D. in Computer Vision & Machine Learning, Karunya University, Coimbatore, Tamil Nadu, India Master of Technology, Microelectronics, Manipal Institute of Technology, Manipal, Karnataka, India Bachelor of Engineering, Electronics and Communication Engineering, Canara Engineering College, Bantwal, Karnataka, India December 2017 March 2017 June 2011 June 2008 ACADEMIC AND TECHNICAL WORK EXPERIENCE ? Assistant Professor, Department of Electronics and Communication Engineering, Sahyadri College of Engineering and Management, India, June 2014 – June 2017 ? Senior Software Test Analysts, Perform Group Pvt. Ltd., India April 2011 – June 2014

1. Differential Color Harmony: A Robust Approach for Extracting Harmonic Color Features and Perceive Aesthetics in a Large Image Dataset 2. Physiological Parameter measurement using wearable sensors and Cloud Computing 3. Social Media Data Analytics using Feature Engineering 4. A Novel Framework for Quality care in Assisting Chronically Impaired Patients with Ubiquitous Computing and Ambient Intelligence Technologies 5. Dynamic and static system modelling with simulations of an eco-friendly smart lighting system 6. Predictive analysis of diabetic women patients using R 7. IoT Based Smart Mirror for Health Monitoring 8. Discovering human influenza virus using ensemble learning 9. Mining and Monitoring Human Activity Patterns in Smart Environment Based Health Care Systems 10. Early Detection of Cognitive Impairment of Elders using Wearable Sensors 11. Analysing plant issues by datasets using four-dimensional-principal component analysis algorithm