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copenhagen,
denmark
Det er for øyeblikket 5:06 p.m. her
Ble med september 25, 2017
1
Anbefaling
Aamir N.
@sohailnagra
4,6
4,6
83%
83%
copenhagen,
denmark
89 %
Jobber fullført
94 %
Innenfor budsjett
91 %
I tide
29 %
Gjenansettelsesrate
Electronics Engineer
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Anmeldelser
Endringer lagret
Viser 1 - 5 av totalt 15 omtaler
$40,00 USD
D
•
₹12 500,00 INR
S
•
$250,00 AUD
C Programming
Engineering
Verilog / VHDL
Software Architecture
FPGA
A
•
₹40 356,00 INR
Engineering
Electronics
Verilog / VHDL
Electrical Engineering
FPGA
P
•
$1 667,00 USD
C Programming
Electronics
Verilog / VHDL
FPGA
FPGA Coding
M
•
Erfaring
Research Engineer
jan. 2018 - jun. 2019 (1 år, 5 måneder)
IP Core Development team Member led by Dr. Shahid Masud
Teaching Assistant
aug. 2017 - des. 2017 (4 måneder, 1 dag)
Teaching Assistan - Digital System Design Fall 2017 Worked as Teacher Assistant under supervision of Dr. Awais Bin Altaf
Utdanning
MS Electrical Engineering
(2 år)
Bsc Electronics Engineering
(4 år)
Kvalifikasjoner
SystemVerilog Accelerated Verification with UVM v1.2.5 Exam
Cadence Design Systems
2022
The earner of this badge can create UVM Verification Components (UVCs) . They can configure, customize and connect UVCs in a UVM verification environmment. They can create UVC and system-level sequences to drive stimulus patterns into a DUT. They can implement and integrate scoreboards. They also have a basic knowledge of UVM Register Modelling. Badge earners understand industry best-practices for creating UVCs and UVM verification environments.
Publikasjoner
AN EFFICIENT ALGORITHM FOR FINGERPRINT RECOGNITION USING MINUTIAE EXTRACTION
Pakistan Journal of Science (Vol. 70 No. 2 June, 2018)
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
Performance Evaluation of IEEE 1588 Protocol Using Raspberry Pi over WLAN
2018 IEEE International Conference on Communication Systems (ICCS)
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
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