Ankur Sarker
Orcid: 0000-0003-4232-3345
According to our database1,
Ankur Sarker
authored at least 42 papers
between 2011 and 2024.
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Bibliography
2024
RefreshChannels: Exploiting Dynamic Refresh Rate Switching for Mobile Device Attacks.
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024
2023
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2023
Brake-Signal-Based Driver's Location Tracking in Usage-Based Auto Insurance Programs.
IEEE Internet Things J., 2023
Acuity: Creating Realistic Digital Twins Through Multi-resolution Pointcloud Processing and Audiovisual Sensor Fusion.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
Proceedings of the IFIP Networking Conference, 2022
Excerpt of Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022
2021
A Context-aware Black-box Adversarial Attack for Deep Driving Maneuver Classification Models.
Proceedings of the 18th Annual IEEE International Conference on Sensing, 2021
Efficient Black-Box Adversarial Attacks for Deep Driving Maneuver Classification Models.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021
DeepDMC: A Traffic Context Independent Deep Driving Maneuver Classification Framework.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021
A Suspicion-Free Black-box Adversarial Attack for Deep Driving Maneuver Classification Models.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021
DeepTrack: An ML-based Approach to Health Disparity Identification and Determinant Tracking for Improving Pandemic Health Care.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
IEEE/ACM Trans. Netw., 2020
A Review of Sensing and Communication, Human Factors, and Controller Aspects for Information-Aware Connected and Automated Vehicles.
IEEE Trans. Intell. Transp. Syst., 2020
Velocity Optimization of Pure Electric Vehicles with Traffic Dynamics and Driving Safety Considerations.
ACM Trans. Internet Things, 2020
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020
An Advanced Black-Box Adversarial Attack for Deep Driving Maneuver Classification Models.
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020
A Data-Driven Reinforcement Learning Based Multi-Objective Route Recommendation System.
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020
Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020
2019
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019
2018
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
Leveraging Dependency in Scheduling and Preemption for High Throughput in Data-Parallel Clusters.
Proceedings of the IEEE International Conference on Cluster Computing, 2018
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018
2017
MORP: Data-Driven Multi-Objective Route Planning and Optimization for Electric Vehicles.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Power Distribution Scheduling for Electric Vehicles in Wireless Power Transfer Systems.
Proceedings of the 14th Annual IEEE International Conference on Sensing, 2017
Prediction-based redundant data elimination with content overhearing in wireless networks.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017
Quick and Autonomous Platoon Maintenance in Vehicle Dynamics For Distributed Vehicle Platoon Networks.
Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017
Opportunistic Energy Sharing Between Power Grid and Electric Vehicles: A Game Theory-Based Pricing Policy.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
2016
A Decentralized Network with Fast and Lightweight Autonomous Channel Selection in Vehicle Platoons for Collision Avoidance.
Proceedings of the 13th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2016
An Efficient Wireless Power Transfer System to Balance the State of Charge of Electric Vehicles.
Proceedings of the 45th International Conference on Parallel Processing, 2016
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016
Towards Green Transportation: Fast Vehicle Velocity Optimization for Fuel Efficiency.
Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016
2014
A novel approach to perform reversible addition/subtraction operations using deoxyribonucleic acid.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014
2013
Proceedings of the 2013 IEEE International SOC Conference, Erlangen, Germany, 2013
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013
2011
Proceedings of the 11th IEEE International Conference on Bioinformatics and Bioengineering, 2011