糖心TV

We are pleased to announce that the department has established a new partnership with the . The academic leading this collaboration, Dr Hongkai Wen, from the Artificial Intelligence and Data Science research themes, now works jointly at the University of 糖心TV and SAIC. The collaboration focuses on the area of efficient machine learning and on-device AI, which enables AI functions to be realised on devices themselves, without necessarily being connected to the cloud, offering more responsive, secure and privacy-preserving user experiences. It hoped that the research activities of this partnership will generate breakthroughs that can be integrated into millions of smartphones, televisions and home appliances.

The Department is welcoming our new Assistant Professor, Dr. Igor Carboni Oliveira, 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, Igor held postdoctoral positions at the Department of Computer Science at the University of Oxford and at the School of Mathematics at Charles University in Prague, and was a research fellow at . He obtained his PhD in Computer Science from in 2015. He is also Royal Society .

His research is primarily focused on the limitations of algorithms and computations, with connections to combinatorics and mathematical logic. For more information about his work and interests, please see his web page at  

We are happy to announce that from the department's Applied Computing research theme has been awarded a Medical Research Council grant to develop a modelling framework and computational tools for studying synaptic transmitter release in health and disease. The 拢475K project will run in close collaboration with the laboratory of at the as well as other world-leading experimental laboratories in Europe, USA, Canada and Japan, specialising in state-of-the-art research in synaptic transmission.

We are pleased to report that from the Theory and Foundations research theme at the Computer Science Department has received an . This will allow him to lead a research project on the theory and applications of dynamic algorithms. The approximately 拢250K project will aim to develop new techniques to design algorithms for fundamental optimisation problems in a setting where the input data changes over time.

The proposal was ranked top at its funding prioritisation panel, and the reviewers said:

The intended research explorations are of very high quality and will likely make a substantial impact on the research community; and possibly on the industrial sector.

We are pleased to report that members of the department's Theory and Foundations research theme have had 7 papers accepted to the , to be held in Salt Lake City, Utah, USA, January 5-8, 2020. SODA is the premier international conference on algorithms research, and the papers are:

• Parameterized Complexity and Approximability of Directed Odd Cycle Transversal by M. S. Ramanujan, Daniel Lokshtanov, Saket Saurabh, Meirav Zehavi
• An Improved Algorithm for Incremental Cycle Detection and Topological Ordering in Sparse Graphs by Sayan Bhattacharya, Janardhan Kulkarni
• Coarse-Grained Complexity for Dynamic Algorithms by Sayan Bhattacharya, Danupon Nanongkai, Thatchaphol Saranurak
• Combinatorial Generation via Permutation Languages by Elizabeth Hartung, Hung P. Hoang, Torsten M眉tze, Aaron Williams
• On the Power of Relaxed Local Decoding Algorithms by Tom Gur, Oded Lachish
• Relaxed Locally Correctable Codes with Nearly-Linear Block Length and Constant Query Complexity by Alessandro Chiesa, Tom Gur, Igor Shinkar
• Sublinear time approximation of the cost of a metric k-nearest neighbor graph by Artur Czumaj, Christian Sohler

We are delighted to report that Dr Tom Gur has been awarded a on Foundations of classical and quantum verifiable computing, funded by 拢892K from UK Research and Innovation. Professor Artur Czumaj, the head of the department's Theory and Foundations research theme, has commented:

We congratulate Tom and look forward to hosting this exciting project that he will lead. This prestigious award confirms the high international standing of research at 糖心TV in theoretical computer science and its rich interfaces with other fields.

Tom鈥檚 Future Leaders Fellowship is concerned with algorithms and cryptographic protocols, both in the classical and quantum settings, and their applications to blockchain technology and delegation of computation to the cloud. This research programme is inherently interdisciplinary, involving fundamental research at the intersection of computer science, pure mathematics, and quantum physics.

The vision that this project aims to achieve is to develop new and exciting mathematical tools and to capitalise on their power to the end of pushing the frontiers of verifiable computing; providing new methodologies for meeting the challenges imposed by big data and the societal need for decentralised systems.

This year's Data Science for Social Good (DSSG) Fellowship programme is being held in the UK for the first time. The University of 糖心TV is hosting the Fellowships this summer in conjunction with the . The 2019 programme is running from June 10 to August 28.

The Fellowship is a project-based training programme to supply data scientists with skills to create data-driven solutions to real-world problems. It trains aspiring data scientists to work on data mining, machine learning, big data and data science projects with social impact.

It was first pioneered by the University of Chicago, and since 2013 has seen more than 200 graduate and undergraduate students studying computer science, social sciences, statistics, public policy and other quantitative fields undertaking a DSSG Fellowship at the University of Chicago.

The Alan Turing Institute鈥檚 vision to advance research for public good and train the next generation of leaders is directly aligned with DSSG鈥檚 own goal to produce data scientists with strong skills in solving real-world problems.

Fellows work with non-profit and government partners around the world. To date, more than 60 projects have run, which have helped lots of organisations do more with their data, enhancing their services, interventions and outreach so that they can fulfil their mission of improving lives across the world.

Further details on the fellowship can be found here.