Scholar
Muhammad Abdullah Hanif
Google Scholar ID: Oxe-MCcAAAAJ
Postdoctoral Associate, New York University Abu Dhabi
machine learning
approximate computing
brain-inspired computing
energy-efficient design
robust
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Citations & Impact
All-time
Citations
2,884
H-index
31
i10-index
65
Publications
20
Co-authors
0
Publications
8 items
MS-Exam-Gen: Source-Grounded Benchmark Construction for Evaluating LLMs on Textual Multiple Sclerosis MRI Knowledge
2026
Cited
0
Rethinking Evaluation of Multiple Sclerosis (MS) Lesion Segmentation Models
2026
Cited
0
Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models
2026
Cited
0
PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices
arXiv.org · 2026
Cited
0
ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search
2025
Cited
0
ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems
2025
Cited
0
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
arXiv.org · 2023
Cited
19
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques
ACM Computing Surveys · 2023
Cited
10
