Prof. Yijun Yu
Dr Yu’s research focuses on automated secure software engineering – developing requirements-driven automated techniques and tools to better support human activities in software engineering for security, privacy, and forensics. His vision on requirements-driven adaptation receives a 10 Year Most Influential Paper award (CASCON16), resulting in 7 ACM/IEEE Best Paper Awards at SEAMS’18 on Adaptive Security, iRENIC16 on Digital Forensics, TrustCom’14 on Privacy Risks, EICS’13 on Adaptive User Interfaces, RE’13 on Proactive Forensics, RE’11 on Security Arguments, BCS’08 on Security Traceability, and ASE’07 on Monitoring Requirements.
Dr Yu is the PI for successful knowledge transfer projects at RealTelecom, Huawei, IBM, and the recent SESAR EngageKTN project on the Drone Identity. He is also a co-investigator on projects of Secure Usable Adaptable Software Engineering (EPSRC Platform, 2019-2023), Adaptive Security And Privacy (ERC Advanced Grant, 2012-2017), Relating Requirements and Designs of Adaptive Information Systems (QNRF, 2012-2015), Lifelong Security Engineering for Evolving Systems (EU FP7, 2009-2011), Usable Privacy for Mobile Apps (Microsoft SEIF, 2012). He was interviewed by BBC Radio 4 Today and BBC World Services on his vision of applying Cloud Computing to improve Aviation Security.
Recognised on BBC Radio 4 and World Services upon the wake of MH370 incident, he has a new vision of ”live black box” on live streaming flight evidence to replace traditional black box for forensic investigations. Towards the vision of forensic analytics of secure SE, he has chaired the International Workshops on Natural Languages for Software Engineering at ESEC/FSE 2018, and iStar at IEEE/RE 2016.. He is an Associate Editor on Software Quality Journal, and Programme Committee member of world-class international conferences including ICSE, ESEC/FSE, RE, ICSME, MSR, SEAMS, SANER, NL4SE. In the UK, he was elected as the Chair of the BCS Specialist Group on Requirements Engineering by over 1400 professional BCS members since 2017.
Prof. Nasir Rajpoot
Nasir Rajpoot is a Professor of Computational Pathology at the Computer Science department of the University of Warwick, where he started his academic career as a Lecturer (Assistant Professor) in 2001. He also holds an Honorary Scientist position at the Department of Pathology, University Hospitals Coventry & Warwickshire NHS Trust since 2016.
Prof Rajpoot is the founding Head of Tissue Image Analytics laboratory (TIA lab) at Warwick since 2012. In Autumn 2017, he was awarded the Wolfson Fellowship by the UK Royal Society and the Turing Fellowship by the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.
Current focus of research in Prof Rajpoot’s lab is on developing algorithms for the analysis of digitised pathology images, with applications to computer-assisted grading of cancer and image-based markers for prediction of cancer progression and survival. He has been active in the digital pathology community for almost a decade now, having co-chaired several meetings in the histology image analysis (HIMA) series since 2008 and served as a founding PC member of the SPIE Digital Pathology meeting since 2012. He was the General Chair of the UK Medical Image Understanding and Analysis (MIUA) conference in 2010, and the Technical Chair of the British Machine Vision Conference (BMVC) in 2007. He is a Senior Member of IEEE and member of the Association of the Computing Machinery (ACM), the British Association of Cancer Research (BACR), the European Association of Cancer Research (EACR), and the American Society of Clinical Oncology (ASCO).
Prof Rajpoot served as the President of the European Congress on Digital Pathology (ECDP), which was held at Warwick in April 2019. Since Jan 2019, he acts as Co-Director of the £15m PathLAKE national centre of excellence on AI in pathology, leading the computational arm of the centre.