activity
20182022
most citedPykg2vec: A Python Library for Knowledge Graph Embedding

10 citations · 28 across the 16 of their papers we have counts for

collaborators

17 papers

cs.CR2022

BayesImposter: Bayesian Estimation Based .bss Imposter Attack on Industrial Control Systems

Anomadarshi Barua, Lelin Pan, Mohammad Abdullah Al Faruque

Over the last six years, several papers used memory deduplication to trigger various security issues, such as leaking heap-address and causing bit-flip in the physical memory. The…

eess.SP2022

Neural Contextual Bandits Based Dynamic Sensor Selection for Low-Power Body-Area Networks

Berken Utku Demirel, Luke Chen, Mohammad Abdullah Al Faruque

Providing health monitoring devices with machine intelligence is important for enabling automatic mobile healthcare applications. However, this brings additional challenges due to…

eess.SP2022

SELF-CARE: Selective Fusion with Context-Aware Low-Power Edge Computing for Stress Detection

Nafiul Rashid, Trier Mortlock, Mohammad Abdullah Al Faruque

Detecting human stress levels and emotional states with physiological body-worn sensors is a complex task, but one with many health-related benefits. Robustness to sensor measureme…

cs.CR20228 cited

Hardware Trojan Detection using Graph Neural Networks

Rozhin Yasaei, Luke Chen, Shih-Yuan Yu +1

The globalization of the Integrated Circuit (IC) supply chain has moved most of the design, fabrication, and testing process from a single trusted entity to various untrusted third…

cs.CV2022

HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception

Arnav Vaibhav Malawade, Trier Mortlock, Mohammad Abdullah Al Faruque

Although autonomous vehicles (AVs) are expected to revolutionize transportation, robust perception across a wide range of driving contexts remains a significant challenge. Techniqu…

cs.HC20212 cited

Future of Smart Classroom in the Era of Wearable Neurotechnology

Mojtaba Taherisadr, Berken Utku Demirel, Mohammad Abdullah Al Faruque +1

Interdisciplinary research among engineering, computer science, and neuroscience to understand and utilize the human brain signals resulted in advances and widespread applicability…