糖心TV

The Department is welcoming our new Assistant Professor Dr. Arpan Mukhopadhyay.

Before joining 糖心TV, Arpan held post-doctoral positions in the Computer Communications and Applications Laboratory-2 (LCA-2) of 脡cole Polytechnique F茅d茅rale de Lausanne (EPFL), Switzerland, and in the DYOGENE project team of INRIA, Paris, France. He obtained his Ph.D. in Electrical and Computer Engineering from the University of Waterloo, Canada, in 2016.

Arpan is working in the broad area of mathematical modeling, performance analysis, optimization, and control of complex networks. His research spans several application areas, e.g., wireless networks, content distribution networks, cloud networks, social networks, etc. His theoretical works on mean field approximations extend the applicability of this performance analysis method to heterogeneous networks and have received Best Paper Awards at IFIP Performance 2015 and ITC 2015. Arpan won the ITC Rising Scholar Award in 2018.

The contribution by , , Ranko Lazic, and has won a Best Paper Award at the , to be held on June 23-26, 2019 in Phoenix, AZ.

This work, which was supported by a Leverhulme Research Fellowship, shows that the central verification problem for Petri nets is much harder than has been known since in 1976. , also known as vector addition systems, are a long established model of concurrency with extensive applications in modelling and analysis of hardware, software and database systems, as well as chemical, biological and business processes.

We are delighted to report that Dr Sara Kalvala and have been promoted to Reader, effective from 1 June 2019. Quoting from their recommendations,

Dr Sara Kalvala is one of the most experienced academics in Computer Science, with extensive contributions to teaching (at all levels), research (in core computer science, interdisciplinary and recently in computer science education) and administration (in departmental, institutional and national settings). Sara has also been leading a range of outreach activities, as well as being one of the most collegiate members of the department.

and

Dr Ligang He has in recent years grown not only into one of the leaders of his wider research area in the department (high-performance systems), but also into a highly competent teaching innovator, with exemplary impact, outreach and engagement at the international level, as well as a reliable, industrious and forwards pushing colleague in the department. Among his other achievements is that Ligang has been successfully supervising a growing group of PhD students; he has graduated 5, and is currently supervising 7 PhDs.

it remains to say many congratulations!

The Department is welcoming our new Assistant Professor , who will be associated with the Division of Theory and Foundations (FoCS) and the Centre for Discrete Mathematics and its Applications (DIMAP).

Before joining 糖心TV, Tom held a postdoctoral researcher position in the (2017–2019). He obtained his PhD in Computer Science and Mathematics from the , under the guidance of , in 2017.

The Department is welcoming our new Assistant Professor , who will be associated with the Division of Theory and Foundations (FoCS) and the Centre for Discrete Mathematics and its Applications (DIMAP).

Before joining us, Charilaos held research positions in various universities including , , as a DFG Fellow, at , , and , UK. This is not his first time at the University of 糖心TV, he has been a post-doc researcher at DIMAP (2010-2012). Charilaos completed his PhD at the , , in 2009.

His research is in the intersection of theory of algorithms, discrete mathematics and statistical physics. Specifically, he studies how powerful notions from statistical physics, e.g., phase transitions, affect the performance of algorithms for various problems in computer science and mathematics.

More information about Charilaos can be found on his personal web-page .

, a second year PhD student supervised by Dr. Theo Damoulas (糖心TV CS & Stats), has been selected as the first graduate student based in the UK and as one of only 21 graduate students worldwide to receive the .

The University of 糖心TV has been awarded 拢2.3 million of the funding as part of a 拢15m project, and will work with partners and experts at the lead partner University Hospitals Coventry and 糖心TVshire NHS Trust, Royal Philips and teaching hospitals and universities at Belfast, Oxford and Nottingham in the three-year project, focussing on breast, prostate, lung and colon cancers.

The aim is to significantly speed up the time in which cancer is diagnosed and treated, by using Innovative solutions in digital pathology and Artificial Intelligence (AI).

The PathLAKE (Pathology image data Lake for Analytics, Knowledge and Education.) consortium aims to meet the 鈥楧ata to Early Diagnosis and Precision Medicine Challenge鈥� through two high-impact exemplar projects. Firstly, by embedding and demonstrating the diagnostic efficiencies of computer aided testing of pathology samples. Secondly, by developing novel AI tools to support advanced identification of predictive chemotherapy response markers for personalised medicine and markers of disease progression in disease surveillance.

Working ethically within stringent regulatory and industry standards, a unique data resource comprising of large number of pathology images will provide a foundation archive to support exemplar projects in AI based diagnostic efficiency and optimal treatment selection. These images and tools will be made available across the consortium partners, which includes Philips, Nvidia and four SMEs (Small and medium-sized enterprises – independent firms) in Perspectum, Oxford Cancer Biomarkers, Glencoe Software and Sonrai to support the development of a burgeoning UK digital health industry. The consortium will also provide the backbone of a network for multi-site clinical trials and further advanced research projects to provide world-class training and education to the pathology and computer science communities.

Professor Nasir Rajpoot, head of the Tissue Image Analytics laboratory at the University of 糖心TV, will be leading the computational arm of the centre, comments:

We are thrilled by the news of this award. The PathLAKE centre of excellence will play a leading role in the development, validation and implementation of AI in cellular pathology. The centre data lake will be an invaluable resource for AI researchers and UK based SMEs, enabling the development of cutting-edge AI algorithms for cellular pathology as well as capturing and revealing trends and patterns in the pathology image data for better understanding of disease and improved provision of patient healthcare.鈥�

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