13 citations · 18 across the 6 of their papers we have counts for
6 papers
PEARL: Structural Privacy-Utility Control in Human-Centric CPS via Personalized Early-Exit Deep Reinforcement Learning
Mojtaba Taherisadr, Salma Elmalaki
In human-centric Cyber-Physical Systems (CPS), personalized Deep Reinforcement Learning (DRL) agents must share fine-grained control actions with cloud services, exposing sensitive…
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems
Tianyu Zhao, Mojtaba Taherisadr, Salma Elmalaki
Achieving fairness in sequential-decision making systems within Human-in-the-Loop (HITL) environments is a critical concern, especially when multiple humans with different behavior…
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems
Mojtaba Taherisadr, Stelios Andrew Stavroulakis, Salma Elmalaki
Reinforcement learning (RL) presents numerous benefits compared to rule-based approaches in various applications. Privacy concerns have grown with the widespread use of RL trained…
ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System
Mojtaba Taherisadr, Mohammad Abdullah Al Faruque, Salma Elmalaki
Thanks to the rapid growth in wearable technologies and recent advancement in machine learning and signal processing, monitoring complex human contexts becomes feasible, paving the…
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…
EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks
Mojtaba Taherisadr, Mohsen Joneidi, Nazanin Rahnavard
A new deep learning-based electroencephalography (EEG) signal analysis framework is proposed. While deep neural networks, specifically convolutional neural networks (CNNs), have ga…