Taster Lecture - Artificial intelligence to improve the quality of life
Taster Lecture - Artificial intelligence to improve the quality of life
05 May 2020, 10:00 – 11:00
Abstract:
The essence and ultimate purpose of chemical engineering is the continuous improvement of the quality of life by the discovery of new drugs, developing new materials or reducing of economic and environmental cost in the production line. Artificial intelligence can learn, adapt and act to provide the necessary help to accelerate and automate the discovery of new materials and drugs, automate the experimental procedures and self-optimize processes.
Presented by:
Dr Panagiotis (Panos) Petsagkourakis, Postdoctoral Researcher at UCL Chemical Engineering.
Please note, we will do our best to answer questions about the current Covid-19 situation, and what effects this may have going forward. Do visit UCL's main coronavirus webpage for the latest updates (see section 8 for prospective students).
UCL uses a third party (Zoom) to administer our webinar/virtual open days and manage your personal information on our behalf. If you are happy for us to process your data solely for this purpose, please continue by entering your details below. Our Prospective Student Privacy notice is available here: https://www.ucl.ac.uk/legal-services/privacy/ucl-prospective-students-enquirers-and-applicants-privacy-notice
[[{"fid":"4251","view_mode":"non_responsive","fields":{"format":"non_responsive","alignment":"","field_file_image_alt_text[und][0][value]":"Image of Dr Panagiotis (Panos) Petsagkourakis","field_file_image_title_text[und][0][value]":"","field_caption_heading[und][0][title]":"","field_caption_heading[und][0][url]":"","field_caption[und][0][value]":"","field_float_left_right[und]":"left","field_file_image_decorative[und]":"0"},"type":"media","field_deltas":{"1":{"format":"non_responsive","alignment":"","field_file_image_alt_text[und][0][value]":"Image of Dr Panagiotis (Panos) Petsagkourakis","field_file_image_title_text[und][0][value]":"","field_caption_heading[und][0][title]":"","field_caption_heading[und][0][url]":"","field_caption[und][0][value]":"","field_float_left_right[und]":"left","field_file_image_decorative[und]":"0"}},"attributes":{"height":"140","width":"140","class":"media-element file-non-responsive"}}]]Panagiotis (Panos) Petsagkourakis received his Chemical Engineering degree from the National Technical University of Athens (Greece) in 2015. He graduated 2nd in his cohort and received numerous awards including the Silver Medal award and the National Chamber of Greece Award. He joined the University of Manchester to pursue his Ph.D. degree. In February 2019, he joined the System Identification group where he is directly involved in the project on Cognitive Chemical Manufacturing. His research interests include: Optimization and Robustness of dynamical systems under uncertainty. The development of Model-Based Design of Experiments methods under uncertainty. The incorporation of Machine Learning techniques with a special interest in Reinforcement Learning (RL) approaches for model-free optimization of (bio-)chemical processes.
Further information
Ticketing
Open
Cost
Free
Open to
All
Availability
Yes
