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The Department organised an off-campus induction event for the new PhD students in our Centre for Doctoral Training and Research. The agenda included presentations from academics on our large research projects, alongside short tutorials on theoretical computer science and advanced machine learning. There were also informal talks about PhD life, publishing high quality work, and pursuing a research career. The event concluded with a mini data dive using air quality data from London.

The two-day welcome event was held at Heythrop Park in Oxfordshire, which offered the students and academics the opportunity to meet each other in a relaxed environment. The students also met with some of the current PhD students and asked them about their experiences. The programme was very productive with overwhelmingly positive feedback.

We welcome our new cohort of PhD students and look forward to organising similar events across the coming years.

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 91¸£Àû 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 last week has seen a number of industrial engagements throughout the department.

On Tuesday, October 15th, Bank of America came in to announce their sponsorship of both CS118 Programming for Computer Scientists module and CS241 Operating Systems and Networks. Representatives from Bank of America were here all afternoon, including 91¸£Àû alumni, to tell our students what a career in finance technology is like, and how to shape their CVs for internships and graduate positions.

The day after, Citrix arrived to help some keen students develop a security based mindset. The students were split into groups of defenders and attackers, and had to out-think each other in order to either secure or steal valuable resources.

Then, on Friday, JP Morgan took over the atrium with their Technology Showcase. They spent the day demonstrating all the ways in which they use technology and even research new ideas, and not always in relation to finance. They also discussed with our students how their experiences and skills translate to a career in JP Morgan.

If you missed any of these events, there's still plenty of chances to get involved. We have a number of events coming up, so please keep an eye on the DCS calendar!

Dr. Fayyaz Minhas (Fayyaz, pron. FAY-YAZ) has recently joined the department as an Assistant Professor. He will be associated with the Tissue Image Analytics (TIA) lab in the Applied Computing division, and will also be working closely on the PathLAKE project.

Prior to joining 91¸£Àû, Dr. Minhas worked as a Principal Scientist at Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan since 2007. He has over 8 years of experience of teaching and research in computer science and has taught courses on Machine learning, Bioinformatics, Quantum Programming, Artificial Intelligence, Cancer Bioinformatics, Computational Biomolecular Design, Biometrics, Python Programming, etc. At PIEAS, he was the Principal Investigator of PIEAS Biomedical Informatics Lab as well as PIEAS Data Science Lab. Dr. Minhas is a recipient of the Fulbright scholarship for his Ph.D. in computer science at Colorado State University, USA. Dr. Minhas works on solving problems in biology and medicine using machine learning methods as well as the development of bespoke machine learning algorithms in the domains of biomedical informatics and data science.

At 91¸£Àû, Dr. Minhas will be working closely on the PathLAKE (Pathology image data Lake for Analytics, Knowledge and Education) project and is interested in exploring the development and application of machine learning models for integrating cancer pathology and bioinformatics data for improved diagnosis and personalised treatment of cancer.

He loves to work in a collaborative multidisciplinary research environment and keeps his office door open for colleagues, students and friends. He also likes to play volleyball, read poetry and is ever ready to talk about hiking trails in the American Midwest and the north of Pakistan.

Dr Minhas’ academic profile can be accessed at the URL:

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 91¸£Àû, 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 £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 £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.