Computer Science » Computer Science News

Academic Recognised for Professional Excellence

Tue, 24 Mar 2026 14:02:00 GMT

Our colleague Dr Claire Rocks achieved Senior Fellow (SFHEA) status through the dialogic route of ��TV’s Academic and Professional Pathway for Experienced Staff (APP EXP) programme. Her application was recognised by assessors as one of the strongest D3 submissions they had reviewed, demonstrating a sustained and significant record of educational leadership that extends well beyond her own teaching.

Claire’s work focuses on leading and influencing inclusive, evidence-informed approaches to assessment and curriculum design. She has played a central role in shaping teaching quality and learning culture across departmental, institutional, and sector contexts, including leading ��TV’s strand of the Inclusive Assessment in STEM project and contributing to institutional strategy through curriculum development and quality assurance processes.

Within the department, Claire has introduced collaborative structures such as module huddles and supported colleagues and students to work together to enhance clarity, consistency, and inclusivity in assessment practice. She has also strengthened pedagogic scholarship through establishing the Computer Science Education Research Group.

The panel particularly commended the scale, depth, and impact of Claire’s leadership, noting that elements of her work are already operating at a level associated with Principal Fellowship.

Many congratulations to Claire on this achievement and her continued commitment to advancing inclusive, high-quality teaching and learning!

Why chronic pain leads to depression for some but not others

Fri, 20 Mar 2026 23:23:40 GMT

New research from the University of ��TV and Fudan University identifies the hippocampus as a key brain system shaping emotional resilience to long-term pain.

Information Asymmetry and Cryptography

Tue, 17 Feb 2026 09:27:00 GMT

In a recent work, visiting undergraduate student Yahel Manor and ��TV DCS researchers Jinqiao Hu and Igor Oliveira addressed a fundamental question relevant to the security of cryptographic protocols.

The symmetry of information principle says that the amount of information that a sequence x of bits reveals about another sequence y is essentially the same in either direction. This is known to hold in an idealised world where computations can take an arbitrarily long time, as demonstrated by A. Kolmogorov and L. Levin in the 1970s. In contrast, modern cryptography is built around deliberate asymmetry—for example, functions of the form y = f(x) that are easy to compute but hard to invert (one-way functions).

The new work shows that, once one moves from the idealised setting of time-unbounded computations to the more realistic world of efficient, randomised computations (algorithms that must run quickly and may use randomness), this symmetry can fail in a strong and unconditional way. In other words, computational constraints can yield information asymmetry. In practical terms, this supports the intuition that information may not be extracted efficiently: knowing y = f(x) may not make x efficiently recoverable to the extent that an (ineffective) symmetry principle would suggest, even when x and y are closely related.

Earlier work formally tied an average-case form of this symmetry failure to the existence of one-way functions, the central primitive in cryptography. By proving new failures of symmetry of information, the authors provide concrete progress towards the computational asymmetry that underpins encryption, digital signatures, and many other cryptographic protocols.

This work will be presented at the 58th Annual ACM Symposium on Theory of Computing (STOC) in June 2026 in Salt Lake City, Utah, USA.

Failure of Symmetry of Information for Randomised Computations
Jinqiao Hu (University of ��TV); Yahel Manor (University of Haifa); Igor C. Oliveira (University of ��TV)

The paper describing this research is available here.

Jinqiao Hu, PhD student in the Department of Computer Science at the University of ��TV, and co-author of the new result.

��TV Computer Science Celebrates Athena Swan Silver Award

Mon, 16 Feb 2026 12:00:00 GMT

The Department of Computer Science is delighted to announce that it has been awarded the Athena Swan Silver Award, recognising our commitment to advancing gender equality for staff and students.

Athena Swan is a UK-wide framework to improve gender equality in higher education. A Silver Award is given to departments that can demonstrate evidence of meaningful progress and impact over a 5-year period – and with a clear and ambitious plan for future action.

In their review, the assessment panel described our submission as "a strong Silver application which addresses all criteria very well."

Martin Costa successfully defends his PhD thesis

Sun, 15 Feb 2026 13:32:00 GMT

Many congratulations to Martin Costa for passing his PhD viva, with Prof Long Tran-Thanh (��TV) and Dr Christian Konrad (Bristol) as examiners. Martin has worked on two different fundamental topics in algorithms - clustering and edge coloring. His work on clustering led to a Google PhD fellowship, and his work on edge coloring (the topic of his thesis) led to a best paper award at STOC. During his PhD spanning 3 years, Martin published 7 papers in STOC/FOCS/SODA, 2 papers in ICML/NeurIPS, and 1 paper in ICALP. We wish him all the very best for the next stage of his career.

Postgraduate Prize Winners 2024/25

Wed, 21 Jan 2026 09:30:00 GMT

Announcing our MSc Academic Prize Winners!

Imran Khan joins the department as a Teaching Fellow

Fri, 16 Jan 2026 13:30:00 GMT

We are pleased to announce that Dr Imran Khan has recently joined the Department of Computer Science as a Teaching Fellow. Although new to the department, Imran has engaged with ��TV before—first through a secondment during a previous postdoctoral position, and more recently as a Research Fellow in the Department of Psychology.

Imran’s research focuses on embodied and enactive cognition within social systems, with particular interest in how and why emotions, social interactions, and relationships contribute to adaptive self‑organisation in biological systems. He primarily uses computational models to investigate these questions, aiming to draw insights from natural systems that may help inform the development of more adaptive artificial systems.

Imran believes computer scientists bring a distinctive mode of thinking to complex problems and encourages students to apply computational approaches when exploring questions across diverse disciplines. He is also passionate about science communication and is committed to making complex ideas accessible to wider audiences through podcast hosting, educational workshops, summer schools, and other outreach activities.

The department looks forward to the contributions Imran will bring in the months ahead. Colleagues and students are warmly invited to reach out to discuss research, teaching, outreach, or anything in between.

We welcome him to the department.

��TV at 60 - DCS Celebrations

Tue, 25 Nov 2025 16:00:00 GMT

The University was celebrating it's 60th Anniversary at the weekend. The Department of Computer Science showcased a range of projects and hosted alumni from 1978 - 2025.

Kaihua Qin joins the department as an Assistant Professor

Wed, 08 Oct 2025 15:10:00 GMT

We are happy to announce that Dr Kaihua Qin has joined the Department of Computer Science as an Assistant Professor. Before joining ��TV, he was a researcher at Yale University and completed his PhD at Imperial College London.

Kaihua’s research spans computer security with a particular focus on blockchain systems. His past work has revealed critical vulnerabilities in blockchains, such as MEV and imitation attacks, which affect multiple layers of the stack, from networking and consensus to applications. His current work aims to establish provable security for decentralized systems, drawing on techniques from program analysis, distributed computing, formal verification, applied cryptography, and game theory.

In addition, he is actively exploring the use of AI for security, leveraging recent advances in large language models to enhance vulnerability discovery, assessment, and mitigation across a variety of systems.

We welcome him to the department!

Workshop Algorithms & Complexity @ ��TV

Tue, 23 Sep 2025 20:00:00 GMT

The workshop Algorithms & Complexity @ ��TV took place at the University of ��TV on September 22-23, 2025 (see https://sites.google.com/view/algorithmscomplexitywarwick2/home for more details).

The aim of the event was to highlight several recent exciting advances in the field of Algorithms and Complexity, to facilitate interactions within the research community, and to provide an excellent opportunity for Theory researchers (including academics, postdocs, and students) to connect and collaborate.

We had a fantastic list of invited speakers by renowned world experts: Albert Atserias (Technical University of Catalonia), Raheleh Jalali (University of Bath), Sanjeev Khanna (University of Pennsylvania), Tomasz Kociumaka (Max Planck Institute for Informatics), Michal Koucký (Charles University in Prague), Or Meir (University of Sheffield and University of Haifa), Rahul Santhanam (University of Oxford), Thomas Sauerwald (University of Cambridge), Roei Tell (University of Toronto).