Malik Aqeel Anwar

Orcid: 0000-0001-6768-058X

Affiliations:
  • Georgia Institute of Technology, Atlanta, GA, USA


According to our database1, Malik Aqeel Anwar authored at least 15 papers between 2014 and 2024.

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Bibliography

2024
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks.
CoRR, 2024

2022
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021
Enabling Edge-Intelligence in Resource-Constrained Autonomous Systems.
PhD thesis, 2021

Multi-Task Federated Reinforcement Learning with Adversaries.
CoRR, 2021

A decentralized policy gradient approach to multi-task reinforcement learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
Masked Face Recognition for Secure Authentication.
CoRR, 2020

Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes Using Transfer Learning.
IEEE Access, 2020

XBAROPT - Enabling Ultra-Pipelined, Novel STT MRAM Based Processing-in-Memory DNN Accelerator.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Hierarchical Memory System With STT-MRAM and SRAM to Support Transfer and Real-Time Reinforcement Learning in Autonomous Drones.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Transfer and Online Reinforcement Learning in STT-MRAM Based Embedded Systems for Autonomous Drones.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Relative Self-Calibration of Wireless Acoustic Sensor Networks Using Dual Positioning Mobile Beacon.
IEEE Syst. J., 2018

NavREn-Rl: Learning to fly in real environment via end-to-end deep reinforcement learning using monocular images.
Proceedings of the 25th International Conference on Mechatronics and Machine Vision in Practice, 2018

2014
Acoustic sensor network relative self-calibration using joint TDOA and DOA with unknown beacon positions.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014


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