Smart Electrical Outlet/Socket (SEOS) US Provisional Patent Application No. 62/626,175 underwent Patent Cooperation Treaty (PCT) filing on 04.Feb.2019 as PCT/SG2019/050066. The patent application describes a plug-load management solution consisting of smart electrical outlet/socket devices and related systems/services proposed and implemented by SinBerBEST researchers. The inventors are Dr. Krishnanand K. R., Dr. Hoang Duc Chinh, Manish Gupta, A/Prof. Sanjib Kumar Panda and Prof. Costas Spanos.
News and Press
IEEE International Conference on Sustainable Energy Technologies and Systems (ICSETS) is a new international conference which is planned to bring together professionals and executives in the energy sector, electrical power companies, manufacturing industries, research institutes and educational bodies to share and exchange ideas and information pertaining to sustainable energy technologies. The 1st ICSETS will be organized in Kalinga Institute of Industrial Technology, India early 2019. SinBerBEST NUS Lead-PI A/Prof. Sanjib Kumar Panda, postdoctoral researcher Dr.
The team POWER@NUS, comprising of PhD students (Jaydeep Saha, Rohit Chandra, Sandeep Kolluri, Binita Sen, Palak Jain and Kamala Srinivasa Rao) and researchers (Rajesh Sapkota, Prathamesh, Md Waseem and Santosh Janaki Raman) from Electrical Machines and Drives Lab, ECE department, mentored by Associate Professor S K Panda and Dr. Eddy Blokken (SERIS), participated in the Empower a Billion Lives competition organised by IEEE. The team submitted their proposal online and were selected for the South-Asia regional round at PEDES 2018, IIT Chennai.
The University of California President Janet Napolitano visited BEARS on Tuesday 18th February 2019. Her visit to BEARS was part of a series of government and university meetings across Asia to expand University of California’s research and education partnerships.
SinBerBEST team members, along with other along with other researchers from industry and academia, are organizing the International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES) as part of the ACM e-Energy Conference 2019 at Phoenix, Arizona. The workshop's objective is to bring researchers together to discuss the underlying challenges related to the application of Machine Learning to Energy Systems, including sm