Authors: Chaima Ben Abdallah; Mahfoud Bouzouidja; Abdenour Soualhi; Hubert Razik; Noureddine Zerhouni
Extended abstract:
Rotating machines like gear motors play a pivotal role in various industrial applications, ranging from manufacturing and transportation to energy generation. However, the reliable operation of these machines can be compromised by the …
Thursday 26 September 2025 at 8:00 AM EDT, 10:00 PM AEST, 02:00 PM CEST
By Houbing Herbert Song and Safayat Bin Hakim (SONG Lab, University of Maryland Baltimore County, Maryland, USA)
Joint webinar with IES Young Professionals Committee
Register now using the link below:
https://attendee.gotowebinar.com/register/54851785895924309
Abstract:
There are three waves of …
Organized by: Prof. Jose Antonino-Daviu, Prof. Israel Zamudio, Prof. Hubert Razik, Prof. Athanasios Karlis
The application of advanced signal processing and Artificial Intelligence (AI) techniques to electric machines has proliferated in recent years. Many areas related to the design, modeling, control, diagnosis, or optimization of electric …
Organized by: Dong Zhao, Ahmad Al-Dabbagh, Changsheng Hua, Yang Shi
The rapid advancement of computation, communication, control, and sensing technologies has led to the emergence of industrial cyber-physical systems. As industrial cyber-physical systems continue to demonstrate their prowess in daily life, ensuring their safety and security …
Authors: Rohit Trivedi; Sandipan Patra; Shafi Khadem
Extended Abstract:
The data-driven (DD) is a systematic approach to improve the data and model by deriving/adding features to address the problem identified during the iterative loop of forecasting model development. This article proposes a DD framework for forecasting short-term …
Authors: Ebrahim Mohammadi, Mojtaba Alizadeh, Mohsen Asgarimoghaddam, Xiaoyu Wang, Marcelo Godoy Simões
Extended Abstract:
Fossil fuels with their environmental pollution and low efficiency impact the traditional and conventional power systems. These issues have been supporting a new paradigm of electricity generation locally at the distribution level, with …
Author: Sho Sakaino
Extended abstract:
Machine learning is now playing important role in robotic object manipulation. In addition, force control is necessary for manipulating various objects to achieve robustness against perturbations of configurations and stiffness. The author’s group revealed that fast and dynamic object manipulation with force …
