Prof Ts Dr Humaira Nisar
Funding in UTAR
  • tailgating/piggybacking detection security system, UTARRF, July 2011 - June 2012.
  • application of imaging techniques for identification and quantification of flocs and filaments in activated sludge., UTARRF, October 2011 - March 2013.
  • a robust face recognition system based on databases with different illumination level using cloud computing, UTARRF, January 2013 - December 2013.
  • automated measurement of severity of atopic eczema, UTARRF, February 2013 - January 2014.
  • detection of abnormal conditions in waste water treatment plants using image analysis., MOSTI SCIENCE FUND, March 2013 - February 2015.
  • investigation of the optical performance of radio telescopes, UTARRF, July 2014 - June 2015.
  • tracking of eeg activity using motion estimation to map neural connectivity in the brain, UTARRF, July 2014 - June 2015.
  • self sustainable eco-anaerobic membrane bioreactor system, MOSTI SCIENCE FUND, July 2013 - December 2015.
  • development of a novel algorithm for classification of video surveillance images using wavelet transform, MOSTI SCIENCE FUND, November 2014 - April 2016.
  • characterization of various states of activated sludge wastewater treatment plant using image analysis, UTARRF, August 2015 - July 2016.
  • a study on near electromagnetic fields between a transmitting and receiving antenna with loaded parasitic wires for a wireless power transfer system, MOSTI SCIENCE FUND, August 2014 - July 2016.
  • development of a fundamental and accurate formulation to optimize the optical performance of radio telescopes at terahertz frequencies., MOHE FRGS, December 2013 - November 2016.
  • eeg neurofeedback training using personalized audio activity for enhancement of mood and/or cognition, UTARRF, October 2016 - September 2017.
  • development of an implantable antenna for biomedical telemetry, UTARRF, December 2016 - December 2017.
  • compact lidar module for 3d scanning and mapping, UTARRF, December 2016 - December 2017.
  • a fundamental study to identify spatio-temporal dynamics of brain networks using electroencephalography, MOHE FRGS, August 2016 - July 2018.
  • signal and image processing, UTARRF, June 2018 - June 2019.
  • decoding eeg signals using deep learning, UTARRF, July 2018 - June 2019.
  • object detection using deep learning, UTARRF, March 2019 - March 2020.
  • design of an implantable antenna for biotelemetry, UTARRF, June 2019 - May 2020.
  • enhancing the neuro-feedback training experience using music stimulation based on eeg emotion recognition, UTARRF, June 2019 - May 2020.
  • a viewpoint invariant crowd counting algorithm using local features and regression techniques, MOHE FRGS, August 2017 - August 2020.
  • batch production of glycerol carbonate using shell catalsyt and crude glycerol, UTARRF, June 2019 - November 2020.
  • the effectivenessof neurofeedback training in social media addiction and its association with stress, anxiety and depression related genes among yound adults, UTARRF, August 2020 - July 2021.
  • magnetic resonance lumbar spine image classification using convolutional neural networks (cnn), UTARRF, August 2020 - July 2021.
  • study the effect of long-term neurofeedback training on executive functions using brain network and spectral analysis?, UTARRF, December 2020 - December 2021.
  • predicting the success of learning performance of alpha up-regulation neurofeedback training, UTARRF, December 2021 - December 2022.
  • an invasive ductal carcinoma (idc) grading classification system using few shots learning, UTARRF, July 2022 - June 2023.
  • automated detection and classification of leukemia using deep learning, UTARRF, December 2022 - December 2023.
  • investigation of quantitative electroencephalography (q-eeg) biomarker and development of machine learning classification model for early identification of dementia and alzheimer disease through neurocognitive processing, UTARRF, November 2023 - October 2024.
Funding not in UTAR
  • security system for video surveillance, ELID SDN BHD, July 2011 - June 2012.
  • face recognition, ELID SDN BHD, October 2012 - March 2014.
  • investigation of brain neuronal mechanisms for the effects of 3d technology on learning and memorization processes, MOHE FRGS, June 2014 - May 2016.
  • eczema image segmentation using deep learning techniques, SATU JOINT RESEARCH SCHEME 2020, June 2020 - May 2022.
  • investigation of the effect of neurofeedback trainingon congnition using a low cost neuro-interface, SATU JOINT RESEARCH SCHEME 2020-2, June 2020 - May 2022.
  • study the effect of neurofeedback training on executive functions using brain network and spectral analysis, SATU, June 2021 - May 2023.
  • magnetic resonance lumbar spine image classification using convolutional neural networks (cnn), SATU, June 2021 - May 2023.
  • automated detection and classification of leukemia using deep learning, SATU, June 2022 - May 2024.
  • predicting the success of learning performance of neurofeedback (bci) training, SATU, June 2022 - May 2024.
  • effect of virtual reality therapy on cognitive function among young adults, SATU, June 2022 - May 2024.
  • ovarian cysts detection and classification using convolutional neural network, SATU, June 2022 - May 2024.
  • development of cognitive battery for the dynamic screening and assessment of alzheimer?s disease, SATU, June 2022 - May 2024.
  • neurofeedback training and cognitive performance, 2023 SATU JOINT RESEARCH SCHEME (JRS), June 2023 - May 2025.
  • exploring the effect of different natural sounds on human brain during nft modulation, 2023 SATU JOINT RESEARCH SCHEME (JRS), June 2023 - May 2025.
  • neuroimage signatures in patients with chronic pain and its clinical implications, 2023 SATU JOINT RESEARCH SCHEME (JRS), June 2023 - May 2025.