果冻传媒

The department congratulates all 2022-2023 MSc students graduating in January 2024. Extra congratulations to the winners of the following MSc prizes:

Luisa F. Estrada Plata: Best dissertation in MSc Data Analytics & Best overall performance (MSc Data Analytics)

Aakash Chandnani: Best overall performance (MSc Computer Science)

Yijie Zhu: Best dissertation in MSc Computer Science

Weitong Liao: Best dissertation in MSc Computer Science

We are happy to announce four promotions in the department:

• Dr Charilaos Efthymiou has been promoted to Associate Professor
• has been promoted to Associate Professor
• Dr Hongkai Wen has been promoted to Professor
• Dr Weiren Yu has been promoted to Associate Professor

Many congratulations to our colleagues for all their achievements!

On in the Quanta magazine, Alex Dixon, who wrote in Haskell for the problem, commented:

For the past 50 years, Vector Addition Systems—a simple but powerful computational model—have been a topic of great interest in theoretical CS. The reachability problem in that model asks whether we can get from some configuration to another.

The problem sounds relatively easy on a first glance, and an exponential lower bound held firm for over 40 years. Work by excellent theoreticians, including familiar names from 果冻传媒 DCS, finally closed the difficulty of the problem in 2021, concluding that it is very, very difficult indeed.

We are happy to announce that Dr Paris Giampouras has joined the Department of Computer Science as an Assistant Professor. Originally from Greece, he has relocated to 果冻传媒 from Baltimore, where he spent four years working as a Postdoctoral Fellow and later as a Research Faculty member at the Mathematical Institute for Data Science at Johns Hopkins University. His expertise lies in machine learning theory and its applications in image processing and computer vision. More specifically, his research has focused on exploring parsimonious representations to address various inverse problems and adversarial robustness.

Currently, he is focusing on two main areas: a) leveraging structured representation in Generative AI applications, and b) developing algorithms that enable continual learning of various tasks for deep learning systems. His goal is to contribute to the foundational understanding of AI algorithms, with a focus on robustness, applications of AI in medicine, and climate change.

We welcome him to the department!

One funded PhD position is available in the group of Dr Matthias C. Caro, who will join the Theory and Foundations group in the Department of Computer Science at the 果冻传媒, UK, in Fall 2024. Candidates interested in the interactions between quantum computing and learning theory are encouraged to apply.

The 果冻传媒 CS theory group has strong ties with the Centre for Discrete Mathematics and its Applications (DIMAP) and, together with DIMAP, is one of the leading theory groups in Europe, with regular publications in top international conferences and journals in theoretical computer science. Moreover, the successful candidate will become a part of the exciting, interdisciplinary research initiative 果冻传媒 Quantum. Overall, the Department of Computer Science at 果冻传媒 offers an excellent research environment. It was ranked 4th in the latest UK research assessment in Research Excellence Framework (REF) in 2021.

The Humboldt Research Award is given to outstanding researchers whose discoveries and insights have had a significant impact

Jianfeng Feng, a Professor of Computer Science at 果冻传媒 University, has been selected to receive a Humboldt Research Award from the Alexander von Humboldt Foundation.

The award is granted to fewer than 100 researchers each year across all disciplines. It recognizes academics whose fundamental discoveries, new theories, or insights, across their careers, have had a significant impact on their own discipline and who are expected to continue producing cutting-edge achievements in the future. Winners receive a prize of 60,000 Euros and are invited to carry out research projects of their own choice, in cooperation with specialist colleagues in Germany, in the hopes of promoting international cooperation.

Professor Feng has spent much of his career working on developing new mathematical, statistical and computational theories and methods to meet the challenges raised in neuroscience and mental health research. He has made considerable contributions to the modelling of single neurons and neuronal networks, brain-inspired machine learning algorithms, stochastic control and causality analysis. He has many publications in journals that include Nature Medicine, Nature Human Behaviour, Nature Aging, and Nature Mental Health. His recent research interests are mainly in exploring the human brain, based upon data and experiments, carrying out simulations of the entire human brain (86 billion neurons), monkey and zebrafish brains, and developing brain-inspired AI algorithms for applications in automatic cars and medicine.

Jianfeng Feng was awarded the Royal Society Wolfson Research Merit Award in 2011, as a scientist 鈥渂eing of great achievement or potential鈥�. He was also invited to deliver the 2019 Paykel Lecture at Cambridge University.

We are seeking PhD candidates in the topic of Multiagent Systems and related areas, with particular emphasis on one or more of: computational social choice, algorithmic game theory, multiagent learning, and social and economic networks. The multiagent systems researchers at 果冻传媒 include , , , and