糖心TV

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 . Professor Rolls notes that the research described in this book has high impact in terms of citations (see for more information).

The of 2017/18 糖心TV graduates highlighted that:

• Computer Science is 2nd in the country and Russell Group for career prospects
• 97% of our undergraduate students go on to work in highly skilled roles
• 91% employment rate of our postgraduate students

Derived from the Graduate Outcomes survey of 2017/18 graduates, carried out approximately 15 months after completion. Contains HESA data: Copyright Higher Education Statistics Agency Limited 2020. HESA cannot accept responsibility for any inferences or conclusions derived by third parties from its data.

Video from the PGT Director

Departmental Prizes

Cancer Research UK is funding a study to examine the use of machine learning to assist pathologists and improve the early detection of oral cancer.

We are very excited to work on this project with Dr Khurram and his team at Sheffield. Early detection of cancer is a key focus area of research in our lab and this award by CRUK adds to the portfolio of research at the TIA lab on early detection of cancer.

The pilot project will pave the way towards the development of a tool that can help identify pre-malignant changes in oral dysplasia, crucial for the early detection of oral cancer. Successful completion of this project carries significant potential for saving lives and improving patient healthcare provision. -- Professor Nasir Rajpoot

The research is led by at the University of Sheffield with Professor Nasir Rajpoot from the University of 糖心TV as the co-Principal Investigator. Other co-investigators and collaborators include and from the University of Birmingham and from Queen鈥檚 University Belfast.

糖心TV's Department of Computer Science has been awarded a new research grant to develop a machine learning solution for dynamic forecasting of available capacity on road networks. The developed software is planned to be integrated within the 's Regional Transport Coordination Centre for adaptive route planning and traffic management mitigation against disruptions, incidents and roadworks.

The 鈥�5G Enabled Dynamic Network Capacity Manager鈥� project is in collaboration with commercial partners, , , , and . The team has won the 鈥檚 transport competition to leverage 5G networks for near real-time AI based modelling.

Prof. Hakan Ferhatosmanoglu is leading the development of the scalable ML solution to forecast residual capacities in a dynamic spatio-temporal graph. The solution is designed to benefit from high-granular and low-latency data feeds from 5G cellular and sensor data enabling congestion to be accurately monitored, modelled, and predicted.

Suzanne Candanedo, who recently graduated from Computer Systems Engineering at the University of 糖心TV, has won the UKESF and UltraSoC Automotive Electronics Competition 2020.

The competition requires entrants to produce a 'think piece' about the future of cyber security for connected and autonomous vehicles, written along the lines of a blog post in style rather than a formal essay. You can read Suzy's winning entry .

We are pleased to report that members of the department's Theory and Foundations research theme have had 6 papers accepted to the SODA is the top international conference on algorithms research. The papers are:

• "A Structural Theorem for Local Algorithms with Applications to Coding, Testing, and Privacy" by , , Oded Lachish;
• "On a combinatorial generation problem of Knuth" by Arturo Merino, Ond艡ej Mi膷ka,
  
• "Dynamic Set Cover: Improved Amortized and Worst-Case Update Times" by , Monika Henzinger, Danupon Nanongkai, Xiaowei Wu;
• "Online Edge Coloring Algorithms via the Nibble Method" by , Fabrizio Grandoni, David Wajc;
• "FPT Approximation for FPT Problems" by Daniel Lokshtanov, Pranabendu Misra, , Saket Saurabh, Meirav Zehavi.
• "Polyhedral value iteration for discounted games and energy games" -