Undergraduate Project Team Wins the Best Paper Award at IEEE World AI IoT Congress 2022, USA
The technical paper titled “Low-Cost Ensembling for Deep Neural Network-Based Non-Intrusive Load Monitoring (NILM)” based on the work of the undergraduate project team, B. Gowrienanthan, K. D. I. S. Ratnayake, and N. Kiruthihan, jointly supervised by Dr. V. Logeeshan and Prof. Sisil Kumarawadu in the Department of Electrical Engineering has won the Best Paper Award in the category of Neural Networks at the IEEE World Artificial Intelligence and Internet of Things Congress held in Seatle, USA, 6-9 June, 2022.
