Event title:
Forecasting using data-intensive hybrid artificial neural network models in environmental and energy engineering applications
Event details
Event details
- Date:
- Thursday, 9th June 2022
- Time:
- 13:00 - 14:00
- Location:
- Robert Blackburn Building, Lecture Theatre B
- Campus:
- Hull Campus
- Categories:
- All Colleagues All Students PG Researchers
Event description
Event description
The Faculty of Science and Engineering, Engineering Department presents:
Forecasting using data-intensive hybrid artificial neural network models in environmental and energy engineering applications with guest speaker Dr Sheen Cabaneros
Dr. Sheen Mclean Cabaneros is currently a Lecturer in Mechanical Engineering and is another exciting Early Career Colleague within the Engineering Department. His qualifications include a bachelor’s and master’s degree in applied mathematics and a PhD in mechanical engineering.
Sheen specialises in environmental engineering with an emphasis on the utilisation of machine learning techniques and his talk will be a fascinating insight of how modelling can contribute to the net zero drive.
The event will be hosted by Professor Jiawei Mi, the Department Postgraduate Research Director in Engineering and all staff and students are welcome.
Registration is not necessary, please do turn up if you have some free time!