Zain Taufique

Zain Taufique
University of Turku | UTU · Department of Computing

Master of Science

About

4
Publications
142
Reads
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21
Citations
Introduction
I am working on low power design and implementation of machine learning based reconfigurable hardware devices for bio-medical wearable applications.
Additional affiliations
December 2021 - present
University of Turku
Position
  • Early Stage Researcher
January 2021 - present
Keeptruckin
Position
  • Quality Assurance Specialist
Description
  • 1. Creating test plans, maintaining documentation on Confluence and performing tests on multiple devices and platforms 2. Planninng to Execute verification of features broken down into components for weekly releases. 3. Actively investigating all ES and customer-facing issues being reported 4. Identifying, analyzing, and documenting defects, questionable functions, errors, and inconsistencies in ELD functions 5. Implementing Agile methodologies, SCRUM, and Agile Testing Life Cycles
June 2019 - June 2020
Lahore University of Management Sciences
Position
  • Research Assistant
Description
  • Embedded System on Chip (SoC) design on Cadence Logic implementation on Verilog HDL Xilinx ISE/VIVADO 2018 ASIC deign and synthesis on Genus by Cadence ASIC Placement and Routing on Innovus by Cadence Implementation of machine learning classification models majorly ANN and SVM on ASIC Design of on Feature extraction accelerators on ASIC Research on low power and small area digital back end hardware for Neurological disorders]
Education
December 2021 - December 2025
University of Turku
Field of study
  • Mathematics and Computer Sciences
September 2018 - December 2020
Lahore University of Management Sciences
Field of study
  • Electrical Engineering
June 2011 - August 2015
University of Engineering and Technology, Lahore
Field of study
  • Electrical Engineering

Publications

Publications (4)
Article
Migraine is a disabling neurological disorder that can be recurrent and persist for long durations. The continuous monitoring of the brain activities can enable the patient to respond on time before the occurrence of the approaching migraine episode to minimize the severity. Therefore, there is a need for a wearable device that can ensure the early...

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