Welcome Dr. ARUNMOZHI MANIMUTHU from Nanyang Technological University, Singapore to be Committee Member!
日期：2020-01-06 点击量： 304次
Dr. ARUNMOZHI MANIMUTHU, Nanyang Technological University, Singapore
Research Area:
1. Data Analytics
2. Artificial Intelligence
3. Machine Learning
4. Social Entrepreneurship
5. Business Strategy
Research Experience:
1. Research Engineer (Fellow), ERIAN, NTU, Singapore Sept 19- till
2. Doctoral Researcher, Anna University, India Jan 16- Dec 19
3. Visiting Research Fellow, ROAR LABS, SUTD, Singapore Mar 18- Oct 18
4. Guest Lecturer, MBA-Distance Education, Anna University Dec 16- Feb 18
5. Guest Lecturer, Singapore University of Social Sciences, Singapore Mar 2018
Publications (Recent):
1. Manimuthu Arunmozhi, et al. “A literature review on Bitcoin: Transformation of crypto currency into a global phenomenon”, IEEE Engineering Management Review 47 (1), 28- 35. IF: 3.9
2. Manimuthu Arunmozhi, et al. “Framework for Load Power Consumption in HAN Using Machine Learning and IoT Assistance.” IEEE Design and Test. IF: 3.022
3. Manimuthu Arunmozhi, et al. “Absolute Energy Routing and Real-time Power Monitoring for Grid-connected Distribution networks- A replacement for SCADA in India.” IEEE Design and Test. IF: 3.022
4. Manimuthu, Arunmozhi, et al. "Privacy and data security for grid-connected home area network using Internet of Things." IET Networks 7.6 (2018): 445-452.Embedded Systems. IF: 2.13
5. Manimuthu Arunmozhi, et al. “Smart sensing scheme for energy monitoring in home area network.” Journal of Electrical Engineering Vol 18, 4, 2018. IF: 2.5
6. Manimuthu Arunmozhi, et al. “Energy Consumption Estimation Model for Complete Coverage of a Tetromino Inspired Reconfigurable Surface Tiling Robot”, MPDI Energies. IF: 2.676
7. Manimuthu Arunmozhi, et al. "Complete Path Planning for a Tetris-Inspired Self- Reconfigurable Robot by the Genetic Algorithm of the Traveling Salesman Problem." MDPI Electronics 7, no. 12 (2018): 344. IF: 1.76
8. Manimuthu Arunmozhi, et al. “Multi-Criteria Decision Making for Efficient Tiling Path Planning in a Tetris-Inspired Self-Reconfigurable Cleaning Robot.” MDPI Applied Sciences 9(1), 63, 2019. IF: 2.217
9. Manimuthu Arunmozhi, et al. “Vision-Based Dirt Detection and Adaptive Tilling Scheme for Selective Area Coverage.” Journal of Sensors, ID 3035128, 13, 2018, Hindawi. IF: 2.5
