PostGraduate Research

This will be held on 9th and 10th May 2024 in the Ashton Lecture Theatre. It will run from 09.00-15:30 on the Thursday, and 10:00-11:15 on the Friday.

The workshop will be organised by Alexei Lisitsa. The schedule of talks is as follows:

Thursday, May 9th
=================
09:00 - 09:15	Welcome
09:15 - 09:40:	Austin, Peter,		"Parity Games on Temporal Graphs"
09:40 - 10:05:	Prokopenko, Tymofil,	"Capturing an invisible robber on a planar graph"
10:05 - 10:30:	Hannah, George,		"A framework for the semi-automatic translation of XML schema to Ontologies"

10:30 - 10:45 Coffee break

10:45 - 11:10:	Al-dausari, Nada,	"Predicting Post Myocardial Infarction Complications"
11:05 - 11:30:	Chen, Zhen, 		"Towards Differently Private Synthetic Images"
11:30 - 11:55:	Li, Jiajun,		"Taylor Model Arithmetic for CNN Robustness Analysis"

12:00 - 13:00 Lunch break

13:00 - 13:25:	Theolfilos, Nikolaos Sobrino,	"On the exploration of deep techniques for the analysis and preservation of Orthodox Iconography"
13:25 - 13:50:	Chen, Du,		"Sheet Metal Forming Springback Prediction: A Novel Approach using Heatmaps and Convolutional Neural Networks"
13:50 - 14:15:	Hampson, Daniel,	"New Material Discovery using Generative Algorithms"

14:15 - 14:40 Coffee break

14:40 - 15:05:	Zhang, Tianhui,		"Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning"
15:05 - 15:30:	Alzahrani, Sahar,	"Analytically Determining the Robustness of Binarized Neural Networks"

Friday, May 10th
================
10:00 - 10:25:	Kongtongvattanan, Chayun,	"Improving Medical Image Segmentation in a Federated Learning Environment"
10:25 - 10:50:	Fallatah, Safaa,	"Privacy-Preserving Machine Learning"
10:50 - 11:15:	Yin, Xiangyu,		"Trustworthiness in Deep Learning Model-Based Systems"

All PhD students should attend every session. Feedback will be provided by IPAP members or their replacement. Staff providing feedback on the talks please find the Feedback Form here, or via the new PGR Feedback system. Please enter feedback into the online system on the day of the workshop.