Muhammad Shafique

Muhammad Shafique

New York University

H-index: 52

North America-United States

About Muhammad Shafique

Muhammad Shafique, With an exceptional h-index of 52 and a recent h-index of 40 (since 2020), a distinguished researcher at New York University, specializes in the field of Embedded Machine Learning, Brain-Inspired Computing, Robust & Energy-Efficient System Design, Smart.

His recent articles reflect a diverse array of research interests and contributions to the field:

HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era

Studying the Impact of Quantum-Specific Hyperparameters on Hybrid Quantum-Classical Neural Networks

AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks

A Methodology for Improving Accuracy of Embedded Spiking Neural Networks through Kernel Size Scaling

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks

A Comparative Analysis of Hybrid-Quantum Classical Neural Networks

MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices

FedQNN: Federated Learning using Quantum Neural Networks

Muhammad Shafique Information

University

Position

Associate Professor, Electrical and Computer Engineering, New York University Abu Dhabi (NYUAD)

Citations(all)

11736

Citations(since 2020)

7457

Cited By

7759

hIndex(all)

52

hIndex(since 2020)

40

i10Index(all)

270

i10Index(since 2020)

194

Email

University Profile Page

Google Scholar

Muhammad Shafique Skills & Research Interests

Embedded Machine Learning

Brain-Inspired Computing

Robust & Energy-Efficient System Design

Smart

Top articles of Muhammad Shafique

Title

Journal

Author(s)

Publication Date

HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era

arXiv preprint arXiv:2402.08475

Muhammad Kashif

Muhammad Shafique

2024/2/13

Studying the Impact of Quantum-Specific Hyperparameters on Hybrid Quantum-Classical Neural Networks

arXiv preprint arXiv:2402.10605

Kamila Zaman

Tasnim Ahmed

Muhammad Kashif

Muhammad Abdullah Hanif

Alberto Marchisio

...

2024/2/16

AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks

arXiv preprint arXiv:2403.05596

Walid El Maouaki

Alberto Marchisio

Taoufik Said

Mohamed Bennai

Muhammad Shafique

2024/3/7

A Methodology for Improving Accuracy of Embedded Spiking Neural Networks through Kernel Size Scaling

arXiv preprint arXiv:2404.01685

Rachmad Vidya Wicaksana Putra

Muhammad Shafique

2024/4/2

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks

arXiv preprint arXiv:2402.06249

Nandish Chattopadhyay

Amira Guesmi

Muhammad Shafique

2024/2/9

A Comparative Analysis of Hybrid-Quantum Classical Neural Networks

arXiv preprint arXiv:2402.10540

Kamila Zaman

Tasnim Ahmed

Muhammad Abdullah Hanif

Alberto Marchisio

Muhammad Shafique

2024/2/16

MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices

arXiv preprint arXiv:2403.00830

Abdul Basit

Khizar Hussain

Muhammad Abdullah Hanif

Muhammad Shafique

2024/2/28

FedQNN: Federated Learning using Quantum Neural Networks

arXiv preprint arXiv:2403.10861

Nouhaila Innan

Muhammad Al-Zafar Khan

Alberto Marchisio

Muhammad Shafique

Mohamed Bennai

2024/3/16

SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents

arXiv preprint arXiv:2404.09331

Rachmad Vidya Wicaksana Putra

Alberto Marchisio

Muhammad Shafique

2024/4/14

FRNet: A Feature-Rich CNN Architecture to Defend against Adversarial Attacks

IEEE Access

AS Neha

Vivek Chaturvedi

Muhammad Shafique

2024/2/9

TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems

arXiv preprint arXiv:2402.09780

Eugenio Ressa

Alberto Marchisio

Maurizio Martina

Guido Masera

Muhammad Shafique

2024/2/15

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends

Abolfazl Younesi

Mohsen Ansari

MohammadAmin Fazli

Alireza Ejlali

Muhammad Shafique

...

2024/2/23

A Two-Level Thermal Cycling-aware Task Mapping Technique for Reliability Management in Manycore Systems

arXiv preprint arXiv:2403.06134

Fatemeh Hossein Khani

Omid Akbari

Muhammad Shafique

2024/3/10

Embodied neuromorphic artificial intelligence for robotics: Perspectives, challenges, and research development stack

arXiv preprint arXiv:2404.03325

Rachmad Vidya Wicaksana Putra

Alberto Marchisio

Fakhreddine Zayer

Jorge Dias

Muhammad Shafique

2024/4/4

Saam: Stealthy adversarial attack on monocular depth estimation

IEEE Access

Amira Guesmi

Muhammad Abdullah Hanif

Bassem Ouni

Muhammad Shafique

2024/1/11

ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks

arXiv preprint arXiv:2402.09146

Muhammad Kashif

Muhammad Shafique

2024/2/14

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

arXiv preprint arXiv:2402.11814

Minghao Shao

Boyuan Chen

Sofija Jancheska

Brendan Dolan-Gavitt

Siddharth Garg

...

2024/2/19

Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs

arXiv preprint arXiv:2403.05340

Erik Ostrowski

Muhammad Shafique

2024/3/8

A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data

arXiv preprint arXiv:2404.03493

Iqra Bano

Rachmad Vidya Wicaksana Putra

Alberto Marchisio

Muhammad Shafique

2024/4/4

Investigating the Effect of Noise on the Training Performance of Hybrid Quantum Neural Networks

arXiv preprint arXiv:2402.08523

Muhammad Kashif

Emman Sychiuco

Muhammad Shafique

2024/2/13

See List of Professors in Muhammad Shafique University(New York University)

Co-Authors

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