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Graham Cormode named 2020 ACM Fellow

Prof. Graham Cormode of the Department of Computer Science has been
named among the 2020 Association for Computing Machinery (ACM) Fellows,
for contributions to computer science. The ACM is the world's leading
learned society for computer science.

Prof. Cormode is recognized for his contributions to data summarization
and privacy enabling data management and analysis. His work on data
streams and sketching has been widely implemented in many high tech
companies and organizations.

Thu 14 Jan 2021, 12:08 | Tags: People Highlight Research Faculty of Science Data Science

Professor Edmund Rolls' 15th book, "Brain Computations: What and How", published by Oxford University Press

Professor Edmund Rolls is pleased to announce the publication of his 15th book "Brain Computations: What and How" by Oxford University Press.

The aim of this book is to elucidate what is computed in different brain systems; and to describe current computational approaches and models of how each of these brain systems computes. Understanding the brain in this way has enormous potential for understanding ourselves better in health and in disease. Potential applications of this understanding are to the treatment of the brain in disease; and to artificial intelligence which will benefit from knowledge of how the brain performs many of its extraordinarily impressive functions.

This book is pioneering in taking this approach to brain function: to consider what is computed by many of our brain systems; and how it is computed. Details can be found here. Professor Rolls notes that the research described in this book has high impact in terms of citations (see here for more information).

Fri 11 Dec 2020, 10:43 | Tags: People Applied Computing

Adam Shephard joins the TIA lab

Adam Shephard

Adam Shephard has just joined the department as a Research Fellow and is currently working in the Tissue Image Analytics (TIA) Lab on the ANTICIPATE project funded by Cancer Research UK. He has recently submitted his thesis on the application of deep learning to paediatric MRI at Aston University, under the supervision of Prof. Amanda Wood and Dr. Jan Novak. His role in the ANTICIPATE project will be concerned with the development and application of deep learning techniques to digitized histology slides to aid in the more efficient grading of head and neck tumours, to ultimately provide more accurate patient prognoses.


EPSRC funding success for Dr. Ramanujan Sridharan

RamanujanWe are delighted to report that Dr Ramanujan Sridharan from the Theory and Foundations (FoCS) research theme at the Computer Science Department has received a prestigious EPSRC New Investigator Award. The approximately £264K project titled "New frontiers in Parameterizing Away From Triviality” aims to develop novel notions of graph edit distance and investigate their connections to efficient solvability of computationally hard problems.
The reviewers commented:
the proposal identifies research questions that are novel, has the potential to have a broader impact both within and outside academia and it is an exciting project that will break new ground.
Mon 21 Sep 2020, 20:38 | Tags: People Grants Highlight Theory and Foundations

Zhenjian Lu joins the department as a Research Fellow

We're happy to announce that Zhenjian Lu has joined the department as a Research Fellow. He is currently funded by the project "New approaches to unconditional computational lower bounds", with support from the Royal Society.

Zhenjian Lu will soon defend a PhD thesis in computational complexity at Simon Fraser University under the supervision of Prof. Valentine Kabanets and Prof. Andrei Bulatov.

He is primarily interested in Computational Complexity, Circuit Lower Bounds, Algorithms, Pseudorandomness, Analysis of Boolean Functions, and Meta-Complexity.

Sat 19 Sep 2020, 16:55 | Tags: People Theory and Foundations

Dr Sathyawageeswar Subramanian joins the department as a Research Fellow

Dr Sathyawageeswar Subramanian has joined the department to work as a Research Fellow on the "Foundations of classical and quantum verifiable computing" project, which is led by Dr Tom Gur.

Sathya completed his PhD in quantum computing at the University of Cambridge under the supervision of Prof. Richard Jozsa. His primary interests are quantum algorithms and computational complexity theory.

Mon 07 Sep 2020, 20:39 | Tags: People Theory and Foundations

Welcome to Our New Students!

We congratulate all A-level students on their recent achievements. The quality of our intake in recent years has been outstanding and we are delighted to report that we will be welcoming another exceptional cohort of first year students. We look forward to getting to know you all in the coming term, and hope you will enjoy taking your next steps in your development as Computer Scientists.

Due to this year's special circumstances, this cohort will be by far the largest in the history of the department. While there will be challenges for students and staff alike, we will work hard, together with our students, to ensure that everybody can fully realize their considerable potential. We are excited and are looking forward to meeting this new talented group of students

Mon 07 Sep 2020, 09:24 | Tags: People Undergraduate

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