Ts Dr Yap Wun She
Funding in UTAR
  • design and implementation of multi-factor authentication method, UTARRF, January 2014 - December 2014.
  • transmitting long-length messages to resource constraint mobile computing devices with rateless erasure code, UTARRF, February 2014 - January 2015.
  • improving performance of rateless erasure code with computer accelerator, UTARRF, August 2015 - July 2016.
  • constructions of secret sharing scheme with nice access structures via group algebra codes, UTARRF, August 2015 - July 2016.
  • the study of image encryption schemes against various advanced cryptanalytic methods, UTARRF, September 2015 - August 2016.
  • accelerating fully homomorphic encryption in gpu platform, UTARRF, July 2016 - June 2017.
  • design and development of a new symmetric key generation: application to multi-factor authentication solution, MOSTI SCIENCE FUND, May 2015 - September 2017.
  • code- and lattice-based signature scheme defined over extra special 𝑝 −group, UTARRF, December 2016 - December 2017.
  • statistical tests on chaotic based image encryption revisited, UTARRF, December 2016 - December 2017.
  • audio recovery via subtle vibrations in the video: a feasibility study of visual microphone, UTARRF, December 2016 - May 2018.
  • advanced and context-aware text/media analytics for data classification, NEXTLABS, July 2017 - June 2018.
  • application of novel intelligent video analytics to improve the surveillance system for smart digital nation, FULLBRIGHT-MCMC SPECIALIST GRANT 2018, May 2019 - June 2019.
  • code- and lattice-based signature scheme defined over extra special p-group, MOHE FRGS, August 2017 - July 2019.
  • design and development of machine learning based travel apps, CONPERO SDN. BHD., June 2019 - August 2019.
  • severity estimation and localization of leaks for improved asset management using data analytic methods, MOHE TRGS, December 2016 - November 2019.
  • new post-quantum identity based encryption scheme with practical implementation for internet of things, MOHE FRGS, January 2019 - December 2020.
  • magnetic resonance imaging (cest mri) for brain cancer diagnosis and treatment monitoring, MAKNA, April 2019 - March 2021.
  • innovate histopathological glioblastoma diagnosis using deep machine learning image analysis, UTARRF, August 2020 - July 2021.
  • a new machine learning based method to predict the moment of conversion to alzheimer's disease (ad) using only structural magnetic resonance (mr) bio-markers, UTARRF, August 2020 - July 2021.
  • design of a new deep learning denoising algorithm for chemical exchange saturation transfer magnetic resonance imaging (cest mri) for brain cancer diagnosis, UTARRF, August 2020 - July 2021.
  • facial recognition version 2.0, CSM ENGINEERING HARDWARE (M) SDN BHD, February 2021 - July 2021.
  • design of a novel machine learning sound extraction algorithm to convert negligible object vibrations in the video to sound for visual surveillance system, MOHE FRGS, September 2019 - August 2022.
  • collaborative robot, TF-AMD MICROELECTRONICS (PENANG) SDN BHD, December 2020 - December 2022.
Funding not in UTAR
  • provadverse: provably secure models, schemes & proofs for adversarial processes, MOHE FRGS, October 2013 - September 2016.
  • template protection techniques, NANCHANG HANGKONG UNIVERSITY, January 2017 - December 2018.
  • design and analysis of transformation framework for cryptographic electronics systems, MOHE FRGS, January 2019 - December 2021.
  • the relationship between lightweight block cipher constructs and differential cluster distribution using gpu-optimized branch-and-bound strategies, MOHE FRGS, September 2019 - August 2022.