Daniya Imran
NUST
· 2023
Email
daniyaimran@hotmail.com
Phone
923005050827
LinkedIn
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GitHub
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Academic
Program
BE Electrical Engineering
CGPA
3.04
Year
2023
Education
SEECS
Address
Rawalpindi, Pakistan
DOB
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Career
Current role
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Target role
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Skills
Convolutional Neural Networks, FPGAs, Xilinx, high-level synthesis, Gaze-tracking, Histopathology Images, Deep CNNs, Quantization, Compression, U-NET, Semantic Segmentation, Forest Cover Change Detection, Brevitas library, Arduino, PCB design, LED Cube
Interests / quote
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Daniya Imran Details Technical Skills Soft Skills Reference Cell: 923005050827 Email: daniyaimran@hotmail.com Address: H.No 7, Street No. 12, Safari Villas-1, Bahria Town Rawalpindi , Pakistan To be furnished upon request. Professional Profile Please update objective section. Education BE Electrical Engineering School of Electrical Engineering and Computer Science (SEECS) , 3.04 Internship Experience Schlumberger (KSA) ( 31-Jul-2022 - 08-Sep-2022 ) Completed my internship program in WCF (Well Construction Fluid) with Schlumberger Middle East. Projects Projects Acceleration of Convolutional Neural Networks on FPGAs I deployed and accelerated 1000x multiple (custom & benchmark) CNNs on Xilinx FPGAs using high- level synthesis with low power consumption. Gaze-tracking Annotation of Histopathology Images for Deep CNNs Worked on a smart-gaze based annotation system that can speed up annotation of histopathology images to train deep CNNS in order to detect keratin pearls. Quantization & Compression of U-NET for Semantic Segmentation for Forest Cover Change Detection Used the Brevitas library to quantize and compress the U-NET deep learning model to observe accuracy-model size tradeoff. Arduino-controlled & Musically-synced 4x4x4 LED Cube Designed a 4x4x4 LED matrix on a PCB board, controlled with the micro-controller Arduino such that it is aesthetically in-sync with music.
AI enrichment
Daniya Imran is an Electrical Engineering graduate with a focus on embedded systems, FPGA acceleration, and deep learning optimization. Her experience includes an internship at Schlumberger and academic projects involving CNN deployment on FPGAs and image processing.
Skills (AI)
["FPGA", "High-Level Synthesis", "Convolutional Neural Networks", "Deep Learning", "Python", "Brevitas", "U-NET", "Arduino", "PCB Design", "Embedded Systems", "Image Processing"]
Status: ai_done