UTP Scholars: - Ir Dr Ashvaany Egambaram

Ts. Dr Ramani Kannan
Office Address
22-02-027
Universiti Teknologi PETRONAS
Bandar Seri Iskandar, 32610 Perak
P:60 5-368 7899
Email: hotattwei@utp.edu.my
Scopus
Author ID
57193675263
Document Count
63
Total Citations
422
h-Index
5
Co-authors
17
Google Scholar Citations
Author Profile URL
_PZTBqEAAAAJ
Citations
89
h-Index
5
Research Gate
Author Profile URL
Eric-Tatt-Wei-Ho
Publications
11
Citations
78
Reads
431

Note: Updated as of Quarter 1, 2026 (March)

Ho Tatt Wei

Working Experience:

  • Lecturer: Universiti Teknologi PETRONAS (Mac 2024 - Current)
  • Assistant Professor: Universiti Tunku Abdul Rahman (Sep 2021 - Feb 2024)
  • Research Officer Universiti Teknologi PETRONAS (Jul 2020 - Ogos 2021)

Certification Provider:

  • HRDC

Awards-National Recognition:

  • N/A

Awards-International Recognition:

  • N/A
Title:
Lecturer

Department:

Specialization:
  • AI-EEG and Brain Sciences
  • Biomedical & Signal Processing
  • IoT & Educational Technology
  • Machine Learning

Qualifications:
  • 2020, PhD in Electrical & Electronic Engineering by Universiti Teknologi PETRONAS
  • 2020, PhD in Computer Science, Physics for Engineering and Microtechnology by University Bourgogne Europe
  • 2011, Master's degree in Industrial Electronics by Universiti Malaya
  • 2009, Bachelor's degree in Electrical & Electronic Engineering by Universiti Malaysia Pahang Al-Sultan Abdullah

Other Information:

Short Biography:
Dr. Ashvaany Egambaram is a prominent academician and researcher at Universiti Teknologi PETRONAS (UTP), recognized for her work in Artificial Intelligence and Neurotechnology. She currently serves as a Lecturer in the Department of Electrical & Electronics Engineering. Dr. Ashvaany is active in the global research community, frequently publishing in high-impact journals like Biomedical Signal Processing and Control. She currently supervises postgraduate students and recruits research officers for projects involving AI and Computer Vision. She is a prolific author with numerous publications in high-impact journals like Biomedical Signal Processing and Control. Beyond research, she actively leads technical projects and manages postgraduate research opportunities for MSc and PhD candidates at UTP.



Number of items: 8.

Egambaram, A. and Badruddin, N. (2022) An Investigation to Detect Driver Drowsiness from Eye blink Artifacts Using Deep Learning Models. In: UNSPECIFIED.

Tarafder, S. and Badruddin, N. and Yahya, N. and Egambaram, A. (2021) EEG-based Drowsiness Detection from Ocular Indices Using Ensemble Classification. In: UNSPECIFIED.

Egambaram, A. and Badruddin, N. and Asirvadam, V.S. and Begum, T. and Fauvet, E. and Stolz, C. (2021) Online detection and removal of eye blink artifacts from electroencephalogram. Biomedical Signal Processing and Control, 69. ISSN 17468094

Egambaram, A. and Badruddin, N. and Asirvadam, V.S. and Begum, T. and Fauvet, E. and Stolz, C. (2020) FastEMD�CCA algorithm for unsupervised and fast removal of eyeblink artifacts from electroencephalogram. Biomedical Signal Processing and Control, 57. ISSN 17468094

Egambaram, A. and Badruddin, N. and Asirvadam, V.S. and Fauvet, E. and Stolz, C. and Begum, T. (2019) Automated and Online Eye Blink Artifact Removal from Electroencephalogram. In: UNSPECIFIED.

Egambaram, A. and Badruddin, N. and Asirvadam, V.S. and Fauvet, E. and Stolz, C. and Begum, T. (2018) Unsupervised Eye Blink Artifact Identification in Electroencephalogram. In: UNSPECIFIED.

Egambaram, A. and Badruddin, N. and Asirvadam, V.S. and Begum, T. and Fauvet, E. and Stolz, C. (2017) Variance thresholded EMD-CCA technique for fast eye blink artifacts removal in EEG. In: UNSPECIFIED.

Egambaram, A. and Badruddin, N. and Asirvadam, V.S. and Begum, T. (2016) Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG. In: UNSPECIFIED.

This list was generated on Sat Mar 14 19:11:58 2026 +08.