Email: syed.farazn.is@gmail.com | Google Scholar | Research Gate
About me: I have completed my Master of Electrical & Electronics from Universiti Teknologi Petronas, Malaysia. My interests are based on the work that I performed during my master’s, i.e., machine learning, deep learning, EEG, fMRI, brain cognition, and degenerative disorders. I am also well versed in the theoretical and practical aspects of computer technologies and sciences. The combination of computer science (CS) and signal processing, more specifically brain signals, has given me the opportunity to use them for better and more efficient solutions for brain-related problems.
Apart from my research career, I have also been building my skillset as a software developer. I am currently working as a data engineer at TelloTalk, where I have been working on various projects related to, i.e., personalized recommendations, image processing, backend development, and machine learning.
External Grants / Funding Awards
[2021]
MTE 2021 - Technology Innovation Gold Medal Award
[2018-2020]
Graduate Assistant Scholarship
[2019-2020]
EEG Signals based real-time stress assessment, Ministry of Education, HiCoE funding RM 112,000 [2019 - 2020]
[2021-2023]
Artificial Intelligence-based mental stress assessment, Kind Abdulaziz University (KAU)
Note: The PI of the grants is my supervisor as a student cannot be a PI as per university policies. However, the grants have been written by me under the supervision of Associate Professor Dr Syed Saad Azhar Ali.
Published a conference publication as a co-author at IEEE ROMA 2022 related to "REAL-TIME EFFICACY OF FEATURES EXTRACTION USING MACHINE LEARNING AND DEEP LEARNING FOR FRONTAL ALPHA ASYMMETRY"
A Certificate of Merit for participating in ITEX 2021 with our project "Intelligent Mental Stress Monitor".
Our project was among the winners of the silver award.
Certificate of recognition for the research publication during 2020-21 from the Department of Electrical and Electronics Engineering, Universiti Teknology Petronas, Malaysia.
Summer School is an initiative by CISIR (Centre for Intelligent Signal and Imaging Research) and IHA (Institute of Health Analytics) where we as a researcher present our work and train the audience the core concepts of Machine Learning and Deep Learning for Medical Application.
Our team was awarded the Gold Medal at MTE 2021 for our contribution to real-time mental stress assessment.
AP Dr. Syed Saad Azhar Ali (Universiti Teknologi Petronas) supervised by project.