Biomedical Data Analytics News
The Big Ol' Nerdy Charity Symposium (BONCS)
The TIA Centre researchers were out in force last week and participated in a 91福利 Student Union charity symposium held on Campus.
The Big Ol' Nerdy Charity Symposium (BONCS) event is 91福利 Student Union鈥檚 NEW flagship charity event where lecturers, PhD students and external speakers come together to give talks on computational cancer research. The symposium was sponsored by Histofy, a spinout from the TIA Centre aimed at accelerated precision diagnostics in both clinical and pharmaceutical workflows and raised funds for Cancer Research UK. Read more.
Digital Pathology, AI, and a Lap of Murrayfield: The Path Forward in Edinburgh
It was a pleasure (and a privilege) to be invited to speak at the 鈥淭ransforming Digital Pathology & AI: The Path Forward鈥� conference in Edinburgh this year, particularly given the calibre of speakers. Sharing the stage with leaders in computational pathology such as Prof. Jeroen van der Laak, Dr Rapha毛lle Luisier (University of Bern), and the TIA Centre鈥檚 very own Dr Fayyaz Minhas made it clear from the outset that this would be a meeting worth attending. Read more.
By Adam Shephard
TIA Team Members Reflect on ISBI 2026
The month of April saw the annual IEEE International Symposium on Biomedical Imaging (ISBI) 2026 held in London. This year, researchers and students had eight papers accepted at the conference. Read more.
Eight papers accepted to NeurIPS 2024
Eight papers authored by Computer Science researchers from 91福利 have been accepted for publication at the , the leading international venue for machine learning research, which will be held on 10-15 December 2024 in Vancouver, British Columbia, Canada:
- Generating Origin-Destination Matrices in Neural Spatial Interaction Models, by Ioannis Zachos, Mark Girolami, and Theodoros Damoulas
- Interventionally Consistent Surrogates for Complex Simulation Models, by Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Ani Calinescu, Theodoros Damoulas, and Michael Wooldridge
- Learning the Expected Core of Strictly Convex Stochastic Cooperative Games, by Phuong Nam Tran, The Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, and Long Tran-Thanh
- Physics-Informed Variational State-Space Gaussian Processes, by Oliver Hamelijnck, Arno Solin, and Theodoros Damoulas
- SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series, by Zhihao Dai, Ligang He, Shuanghua Yang, and Matthew Leeke
- Symmetric Linear Bandits with Hidden Symmetry, by Phuong Nam Tran, The Anh Ta, Debmalya Mandal, and Long Tran-Thanh
- The Effectiveness of Surprisingly Popular Voting with Partial Preferences, by Hadi Hosseini, Debmalya Mandal, and Amrit Puhan
- What makes unlearning hard and what to do about it, by Kairan Zhao, Meghdad Kurmanji, George-Octavian B膬rbulescu, Eleni Triantafillou, and Peter Triantafillou
SIGMOD 2024 Test of Time Award for 鈥楶rivBayes鈥�
The work of Professor Graham Cormode has been recognized with a 鈥渢est of time鈥� award. The ACM SIGMOD conference presents an award each year for the paper from SIGMOD 10-12 years previously that has had the biggest impact, and passed the 鈥渢est-of-time鈥�. The 2014 paper 鈥淧rivBayes: private data release via bayesian networks鈥� (Jun Zhang, Graham Cormode, Cecilia M. Procopiuc, Divesh Srivastava, Xiaokui Xiao) was selected for this honour. The award will be presented at the 2024 ACM SIGMOD Conference in Santiago.