Computer Science News
Two New Assistant Professors
We are happy to announce that Dr Fanghui Liu and Dr Debmalya Mandal have joined the Department of Computer Science as Assistant Professors.
Fanghui finished his PhD degree at Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University in 2019. Then he gained the research experience in Europe as a postdoc researcher, at ESAT-STADIUS, KU Leuven from 2019 to 2021 and Ecole Polytechnique F茅d茅rale de Lausanne (EPFL), Switzerland from 2021 to 2023, respectively. His research interests include machine learning, statistical learning theory as well as applications in trustworthy machine learning systems.
Debmalya completed his Master鈥檚 degree in Computer Science and Automation from Indian Institute of Science, and his PhD in Computer Science from Harvard University, where he was also part of the EconCS group. He then gained experience as a postdoctoral researcher at the Data Science Institute of Columbia University, and at the Max Planck Institute of Software Systems. He is broadly interested in the theoretical foundations of AI/ML systems and often incorporate tools from computational social choice, game theory, and machine learning theory in his research. He is currently working on fairness in machine learning, reinforcement learning, and the exciting problem of AI alignment.
We welcome them both to the department!
Ayse Saliha Sunar joins the department as a Teaching Fellow
We are happy to announce that Dr Ayse Saliha Sunar has joined the Department of Computer Science as a Teaching Fellow. She completed her Master's degree on Intelligent Tutoring Systems at Nagoya University and her PhD on Big Educational Data Analysis and Recommender Systems at the University of Southampton.
She then gained experience in teaching in Turkey and in research collaboration, including European project proposals in Slovenia on integrating cutting-edge technologies into educational and other social contexts. Her current research interests include technology-enhanced learning to improve teachers' and faculties' pedagogical skills, as well as applications of natural language processing in classrooms and hybrid teaching models.
We welcome her to the department!
Best Student Paper Award at European Symposium on Algorithms
We are delighted to announce that , a PhD student in the Theory and Foundations Research Division, has received the best student paper award at , for his joint work with for the paper: "Incremental (1-eps)-approximate dynamic matching in O(poly(1/eps)) update time". The paper considers the problem of maintaining a large matching in a graph that is undergoing a sequence of edge insertions. They present an algorithm for this fundamental problem in dynamic graph algorithms, which has near-optimal approximation ratio and an update time that does not grow at all with the size of the input and is also polynomial in 1/\eps (the error parameter). In addition, their approach is simpler than previous algorithms on the same problem that achieved weaker guarantees.
91福利 Technician Commitment Award for Outstanding Achievement for Edgaras Purauskas
Edgaras Purauskas, Technician in the Department of Computer Science received the . Edgaras was one of two recipients of these inaugural awards, which received over 40 nominations campus wide. Edgaras had a number of nominations for his "consistently exceptional work" and his "deep understanding of computer systems, software, and hardware". Many congratulations Edgaras and thank you for your extraordinary efforts!
Latest two academic promotions
We are happy to announce that Dr Gihan Mudalige and Dr Victor Sanchez have both been promoted to Professor from 1st August 2023.
Many congratulations to our colleagues for all their achievements!
Publication of Professor Edmund Rolls' Book "Brain Computations and Connectivity" by Oxford University Press with Open Access
Professor Edmund Rolls is pleased to announce the publication of his 16th book, Rolls,E.T. (2023) . Oxford University Press: Oxford. Open Access.
Brain Computations and Connectivity provides a computational framework for understanding brain function in health and disease. The book also describes many discoveries on the computational functions of many brain regions.
The book includes research performed with many members of the Department of Computer Science including Professor Jianfeng Feng. The Gatsby Foundation is thanked for a grant towards the cost of enabling this book to be Open Access. A link to the book is available .
Latest academic promotions
We are happy to announce five promotions in the department, with effect from 1st August 2023.
- Dr James Archbold has been promoted to Associate Professor (Teaching Focussed)
- Dr Richard Kirk has been promoted to Assistant Professor (Teaching Focussed)
- Dr Claire Rocks has been promoted to Reader (Teaching Focussed)
- Dr Ian Saunders has been promoted to Associate Professor (Teaching Focussed)
- Dr Sathya Subramanian has been promoted to Assistant Professor (Research Focussed)
Many congratulations to our colleagues for all their achievements!