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Ida Pu

Dr Ida Pu (PhD, University of Warwick) is a lecturer in Computer Science, Goldsmiths, University of London. Her research has centred on the design and analysis of algorithms, and crosses various application areas such as  mobile data communications, networks, data compression, computer security and MRI data analysis.

Ida’s interests in average case analysis of algorithmic performance falls in a challenging but rewarding research area. Apart from classical deterministic and sequential algorithmic work, she published also in the more difficult areas of parallel and randomised algorithms. Her earlier projects aim to develop parallel algorithms for uniform generation at random of combinatorial structures (e.g. paths, spanning trees, random graphs and strings) that occur in many applications. The constant worst case access time achieved in the matricial space economy project helps explain formally why the simple approach introduced seems to be so useful in practice. The error propagation project quantifies the errors in diffusion tensor imaging. The project of expanding ring search develops energy-efficient search algorithms for mobile Ad Hoc networks, and the brain functional imaging project develops MR imaging techniques to study brain characteristics and functions. Ida’s recent research interests include efficient algorithms for large data sets and collective intelligence in applications in body networks and brain imaging.

Ida has a wide technical experience in Computer Science. She has taught many main courses in Computer Science in areas of Artificial Intelligence, Computer Security, Data Compression, Data Structures, Algorithm Design, Computer Communication and Networks, Databases, Computer Programming (e.g. in Java, UNIX/Linux, Miranda, C, MATLAB, Pascal, Fortran, COBOL, Assembly Language), Electronics, and Discrete Mathematics. Many of these courses have been taught in Goldsmiths, both locally and internationally via the international programmes of the University of London. Some were taught overseas in Beijing, HK and Singapore. She has also published six subject guides for the University of London.

Ida has been invited and served as an external examiner for the Xian Liverpool Jaotong University, China; King’s College London; Queen Mary University of London; University of Liverpool; Liverpool John Moore University; Buckinghamshare New University; and the University of London, UK.

Authored Books

I M Pu, Fundamental Data Compression, Elsevier, 2006, ISBN 978-0-7506-6310-6, ISBN 0-7506-6310-3

I M Pu and S Miao, Laboratories for Modern Electronics, Beijing University of Technology Publisher, 1989, ISBN: 7-5639-0026-8 (in Chinese)

Other publications

Ida M Pu, Yuji Shen, ‘Analytical Studies of Energy-Time Efficiency of Blocking Expanding Ring Search’, Mathematics in Computer Science 3(4): 443–456 (2010) ISSN: 1661-8270

Ida M Pu, Yuji Shen, ‘A framework for chase strategies in recent energy or time efficient route discovery protocols for MANETs’, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2011, ISBN: 978-1-4577-0352-2

Ida Pu, Yuji Shen, ‘Enhanced Blocking Expanding Ring Search in Mobile Ad Hoc Networks‘, in proceedings of the Third International Conference on New Technologies, Mobility and Security (NTMS 2009), pp451–455, 2009

Ida M. Pu, Daniel Stamate, Yuji Shen,
‘Improving time-efficiency in blocking expanding ring search for mobile ad hoc networks‘, Journal of Discrete Algorithms 24: 59-67 (2014)

Yuji Shen, Yi-Ching L. Ho, Rishma Vidyasagar, George Balanos, Xavier Golay, Ida M.Pu, Risto A. Kauppinen, ‘Gray matter nulled and vascular space occupancy dependent fMRI response to visual stimulation during hypoxic hypoxia’, NeuroImage 59(4): 3450-3456 (2012)

Y Shen, I M Pu, T Ahearn, M Clemence, C Schwarzbauer, ‘Quantification of venous vessel size in human brain in response to hypercapnia and hyperoxia using magnetic resonance imaging’, Magnetic Resonance in Medicine Volume 69, Issue 6, pages 1541–1552, June 2013

Ida Pu, Yuji Shen, ‘Efficient algorithms for noise propagation in diffusion tensor imaging’, in London Algorithmics 2008: Theory and Practice: (Texts in Algorithmics) eds. J Chan, J K Daykin, M S Rahman, 1 June 2009, ISBN: 978-1904987970

Daniel Stamate, Ida Pu, ‘Imperfect Information Fusion using Rules with Bilattice based Fixpoint Semantics’. Proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Springer-Verlag, IPMU (3) pp181-190 (2012)