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WM5G funding awarded to Prof. Hakan Ferhatosmanoglu on machine learning based spatio-temporal forecasting

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 wins UKESF and UltraSoC Automotive Electronics Competition 2020

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 .

Fri 16 Oct 2020, 12:50 | Tags: Undergraduate Data Science Systems and Security

Six papers accepted to the 32nd SODA conference

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" -
Fri 09 Oct 2020, 20:53 | Tags: Research Theory and Foundations

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