16. Mohamed Ragab: AI Guided predictive maintenance of machines

High Impact Thesis
17/08/2022 58 min Temporada 1 Episodio 16

Listen "16. Mohamed Ragab: AI Guided predictive maintenance of machines"

Descargar episodio Ver en sitio original

Episode Synopsis

Mohamed Ragab is a Ph.D. student at the school of computer science and engineering (SCSE) at NTU. In this episode, he talks to us about his research on AI guided predictive maintenance of rotating machines and it's potential advantages. He also talks about some of the practical challenges of applying machine learning in real world scenarios and discuss some of the future directions of AI and machine learning.

More episodes of the podcast High Impact Thesis

44. Hilary Ma - Transforming Senior Care with Art 29/12/2025
43. Abu Bakr Azam - The Revolution in Underwater Robotics 24/11/2025
42. Zhou Qinrou - The Relational Bureaucrat: Balancing Zuoren and Zuoshi 06/10/2025
41. Alka Luqman - From Industry to PhD: A Journey into Federated Learning 25/08/2025
40. Pritish Mishra - The PhD Journey: From Perovskites to TEDx 25/07/2025
39. Nicole Yao - Representing Ruins: Literature, Film, and Modern China 02/07/2025
38. Wu Tong - Impacts of "Sharing Good News" 26/05/2025
37. Michael Yuhas - Ensuring Autonomous Vehicle Safety 25/04/2025
36. Suhas Raghavendra Kulkarni- Towards Metamaterials, Rehabilitation and Wearable Robots 27/11/2024
35. Ellice Wu: Angelica Kauffman’s London Self-Portraits- A detailed analysis 01/11/2024
© 2003-2026 ZARZA | AHEAD OF OUR TIME
privacy policy
In God we trust In God we trust
PreSales Questions? Click Here
or call our toll-free line at +1-888-5002068 Miami, Florida, USA