The Recipients of the first SfNIRS Diversity Equity and Inclusion travel award are:
Sizwe Zondo, PhD student, Psychology, South Africa,
- PS1_53_94 – The efficacy of Functional Near-Infrared Spectroscopy (fNIRS) in assessment of subjects with pigmented skin, Sizwe Zondo, Rhodes University
- PS2_80_253 – Shining Light into Paediatric HIV: HIV Neurocognition and Brain Plasticity in Sub-Saharan Africa: An fNIRS Study, Sizwe Zondo, Rhodes University
Asma Gulraiz, Masters student, Engineering, Pakistan,
- PSV_17_233 – LASSO Homotopy-Based Sparse Representation Classification for fNIRS-BCI, Asma Gulraiz, Air University
Alejandra Rocha Solache, Masters student, Computer Science, Mexico,
- PS3_47_312 – The space-time of effective neural connectivity for fNIRS, Alejandra Rocha Solache, Instituto Nacional de Astrofísica Óptica y Electrónica
Ishara Paranawithana, PhD student, Engineering, Australia,
- PS1_21_42 – Development of Language Networks during Infancy: Evidence from Resting State Functional Connectivity, Ishara Paranawithana, Bionics Institute
Yumie Ambriola, PhD student Engineering, Federal University of ABC, Brazil,
- PSV_28_352 – Statistical methods in graphs with applications to fNIRS data, Amanda Yumi Ambriola Oku, Universidade Federal do ABC
Jamila Akhter, PhD student Engineering, Air University Islamabad,
- PSV_18_239 – fNIRS-based Robotic Hand Gripping Control via Machine Learning Classifiers, Jamila Akhter, Air University
Muhammad Atif Yaqub, Post doc, Engineering, Spain,
- PS1_44_79 – A miniaturized sensor board for enhanced laser safety and data quality assessment for functional near-infrared and diffuse correlation spectroscopy probes, M. Atif Yaqub, ICFO-The Institute of Photonic Sciences
Iraj Kainat, Masters student, Engineering, Pakistan, irajkainat777@gmail.com not registered yet
- PSV_16_210 – Classifying Inversion and Eversion Ankle Movements using fNIRS-BCI, Iraj Kainat, Air University
Huma Hamid, Masters student, Engineering, Pakistan, humahamid244@gmail.com not registered yet
- PSV_15_209 – Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation using Deep Neural Networks, Huma Hamid, Air University
Edgar Guevara, Post doc, Engineering, Mexico, edgar.guevara@uaslp.mx
- PS3_48_313 – Cortical activation during fine motor movement of Parkinsons disease patients using fNIRS, Edgar Guevara, Universidad Autonoma de San Luis Potosi
Parsa Oveisi, Masters student, engineering, Canada, parsa.oveisi@gmail.com
- PS3_67_344 – Accuracy and reliability of diffuse optical tomography resting-state functional connectivity measurements from the Kernel Flow fNIRS system, Mohammad Parsa Oveisi, University of Toronto
Make sure to stop by at their posters and congratulate them!!!!