Dr Ida Pu
Ida specialises in probabilistic and average case algorithms, data structures and communications and complexity theory.
Staff details
Lecturer, deputy Senior Tutor, researcher, PhD supervisor and examiner, project manager, member of academic committee, equal opportunity representative, special needs coordinator.
Areas of supervision
Probabilistic and average case algorithms, data structures, networks and communications and complexity theory.
Publications and research outputs
Publication feed is currently unavailable.
Research Interests
Centre on Randomised, Parallel, Probabilistic and Average Case Algorithmics and cover various application areas: Design and Analysis of Algorithms, Data Communications and Networking, Data Compression, Diffusion-weighted Image Processing, Music Analysis
Current research
Parallel generation of combinatorial structures (e.g. paths, spanning trees, random graphs and strings) uniformly at random, matricial space economy with constant worst case access time, geometric distortions in diffusion-weighted images, and problems in various application areas such as data communications and mobile ad doc networking, data compression, image processing and music analysis.