Bronze Medalist in Semester 01 (Fall 2019)
Published:
Bronze Medalist in Semester 01 (Fall 2019) for securing Third Position in Batch 2019.
Posts by Collection
awards
Inducted in Dean’s List Semester 01 (Fall 2019)
Published:
Inducted in the Dean’s List for Semester 01 (Fall 2019).
Inducted in Dean’s List Semester 02 (Spring 2020)
Published:
Inducted in the Dean’s List for Semester 02 (Spring 2020).
Inducted in Dean’s List Semester 03 (Fall 2020)
Published:
Inducted in the Dean’s List for Semester 03 (Fall 2020).
Gold Medalist in Semester 03 (Spring 2021)
Published:
Gold Medalist in Semester 03 (Spring 2021), securing First Position in Batch 2019.
Inducted in Rector’s List Semester 04 (Spring 2021)
Published:
Inducted in the Rector’s List for Semester 04 (Spring 2021).
Gold Medalist in Semester 04 (Fall 2021)
Published:
Gold Medalist in Semester 04 (Fall 2021), securing First Position in Batch 2019.
Inducted in Dean’s List Semester 06 (Spring 2022)
Published:
Inducted in the Dean’s List for Semester 06 (Spring 2022).
Bronze Medalist in Semester 06 (Spring 2022)
Published:
Bronze Medalist in Semester 06 (Spring 2022) for securing Third Position in Batch 2019.
Inducted in Dean’s List Semester 07 (Fall 2022)
Published:
Inducted in the Dean’s List for Semester 07 (Fall 2022).
Inducted in Dean’s List Semester 08 (Spring 2023)
Published:
Inducted in the Dean’s List for Semester 08 (Spring 2023).
FIRST Position @ Job Fair 2023 Final Year Project Competition
Published:
Secured FIRST position at the Job Fair 2023 Final Year Project Competition in March 2023.
WOMANIUM Quantum Computing Scholarship
Published:
Awarded the WOMANIUM Quantum Computing Scholarship in May 2023.
Final Year Project selected for IGNITE National Grassroots Research Initiative 2022-2023 Funding
Published:
My Final Year Project was selected for IGNITE’s National Grassroots Research Initiative (NGIRI) 2022-2023 Funding, August 2023.
FIRST Place @ WOMANIUM Global Quantum Media Award
Published:
Awarded FIRST Place in the WOMANIUM Global Quantum Media Award, Sep 2023.
Full Scholarship - QxQ Introduction to Quantum Computing
Published:
Received a Full Scholarship for the QxQ Introduction to Quantum Computing program in September 2023.
Akhlaque Hussain Bronze Medal (Fall 2019 to Spring 2023)
Published:
Awarded the Akhlaque Hussain Bronze Medal for securing Third Position in the Batch of 2019, from Fall 2019 to Spring 2023.
3rd Place on the Leaderboard - unitaryHack 2024
Published:
UnitaryHack 2024 organized by the UnitaryFund. Contributed to Braket.jl, BraketSimulator, and Piccolo.jl.
blogs
Neutral Atom Quantum Computing Permalink
Published:
Advancing Neutral Atom Quantum Computing: Unleashing the Potential of Alkaline-Earth Atoms and Beyond Permalink
Published:
Superconducting Quantum Computing Permalink
Published:
Photonic Quantum Computing Permalink
Published:
Silicon-based Quantum Computing Permalink
Published:
Quantum Materials Permalink
Published:
Topological Quantum Computing Permalink
Published:
Trapped-Ion Quantum Computing Permalink
Published:
Constructor Theory of Information and Its Application in Hybrid Quantum Systems Permalink
Published:
courses
Bayesian Statistics: Time Series Analysis
Published:
Game Theory by Stanford Online
Published:
Introduction to Philosophy
Published:
FPGA Computing Systems: A Bird’s Eye View
Published:
QBronze
Published:
QNickel: Quantum Algorithms and Programming
Published:
Quantum Key Distribution
Published:
Quantum Error Correction
Published:
Quantum Computing Hardware
Published:
projects
16-Bit Microprocessor in VHDL
Published:
publications
SoC-Based Implementation of 1D Convolutional Neural Network for 3-Channel ECG Arrhythmia Classification via HLS4ML
Published in IEEE Embedded Systems Letters, 2024
This paper presents a SoC-based implementation of a 1-D convolutional neural network (1-D CNN) for 3-channel ECG arrhythmia classification using HLS4ML. It demonstrates the benefits of quantization-aware training (QAT) and high-level synthesis (HLS) in reducing power consumption while maintaining competitive performance metrics, offering an efficient, low-latency, and cost-effective solution for real-time ECG monitoring.
Recommended citation: Ahmad, F., & Zafar, S. (2024). "SoC-Based Implementation of 1-D Convolutional Neural Network for 3-Channel ECG Arrhythmia Classification via HLS4ML." IEEE Embedded Systems Letters, 16(4), 429-432. doi: 10.1109/LES.2024.3354081 https://ieeexplore.ieee.org/abstract/document/10399904