Profilbillede af sohailnagra
@sohailnagra
Flag for Pakistan Faisalabad, Pakistan
Medlem siden 25. september 2017
0 Anbefalinger

sohailnagra

Online Offline
Area of Intrest: ASIC Design, Embedded Systems, FPGAs, Electronics Circuit Design ,Digital Signal &Image processing, PCB Design, VLSI, Embedded Systems
$15 USD/hr
2 anmeldelser
2.8
  • 100%Jobs udført
  • 64%Indenfor Budget
  • 100%Til Tiden
  • 25%Genansættelsesfrekvens

Portfolio

Nylige bedømmelser

  • billede af Bak A. Bundle adjustment using vivado embedded project ₹11291.00 INR

    “Really works hard going out of the way even !”

  • billede af John R. FPGA | IR Remote $88.00 USD

    “Aamir was excellent. He worked within a very small time frame and delivered great work. Any alterations that I requested were done within a timely manner. Expert in his field.”

Erfaring

Design and Verification Engineer

Jun 2019

Work as Design and Verification Engineer at Innoventors Semiconductors Consumer Electronics Kedah, Kulim Malaysia

Research Engineer

Jan 2018 - Jun 2019 (1 year)

IP Core Development team Member led by Dr. Shahid Masud

Teaching Assistant

Aug 2017 - Dec 2017 (4 months)

Teaching Assistan - Digital System Design Fall 2017 Worked as Teacher Assistant under supervision of Dr. Awais Bin Altaf

Uddannelse

MS Electrical Engineering

2016 - 2018 (2 years)

Bsc Electronics Engineering

2012 - 2016 (4 years)

Publikationer

Performance Evaluation of IEEE 1588 Protocol Using Raspberry Pi over WLAN

IEEE 1588 is a recently developed protocol for clock synchronization in a wired network with micro-second precision. Clock synchronization is usually a challenge in industrial real time applications such as robotics, industrial controls, smart power grids and Telecommunications. In this paper, we have implemented the IEEE 1588 Precision Time Protocol on a compact Raspberry Pi based Embedded System. We have analyzed the performance of the Precision Time Protocol over both wireless local area network and wire

AN EFFICIENT ALGORITHM FOR FINGERPRINT RECOGNITION USING MINUTIAE EXTRACTION

Fingerprints have always been considered as basic element for personal recognition. The performance of fingerprint recognition system depends on minutiae which are extracted from raw fingerprint images. In this study, an efficient scheme for fingerprint recognition was proposed. Initially, the input image was enhanced using pre-processing techniques. After image enhancement, image segmentation was performed and minutiae extraction was done using ridge thinning and minutiae marking. To this end, false minuti

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