Mohammad Abu Alsheikh

Orcid: 0000-0001-7269-2286

According to our database1, Mohammad Abu Alsheikh authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2024
Enabling Technologies for Web 3.0: A Comprehensive Survey.
CoRR, 2024

2023
Five Common Misconceptions About Privacy-Preserving Internet of Things.
IEEE Commun. Mag., May, 2023

Reconstructing Human Pose from Inertial Measurements: A Generative Model-based Compressive Sensing Approach.
CoRR, 2023

2022
How Do Socio-Demographic Patterns Define Digital Privacy Divide?
IEEE Access, 2022

2021
Digital Divide and Social Dilemma of Privacy Preservation.
CoRR, 2021

2020
"Borrowing Arrows with Thatched Boats": The Art of Defeating Reactive Jammers in IoT Networks.
IEEE Wirel. Commun., 2020

Optimal Pricing of Internet of Things: A Machine Learning Approach.
IEEE J. Sel. Areas Commun., 2020

2019
Defend Jamming Attacks: How to Make Enemies Become Friends.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
RF-based 3D skeletons.
Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

Through-Wall Human Pose Estimation Using Radio Signals.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
A framework for big sensor data collection and trading
PhD thesis, 2017

Fast Adaptation of Activity Sensing Policies in Mobile Devices.
IEEE Trans. Veh. Technol., 2017

Privacy Management and Optimal Pricing in People-Centric Sensing.
IEEE J. Sel. Areas Commun., 2017

The Accuracy-Privacy Tradeoff of Mobile Crowdsensing.
CoRR, 2017

The Accuracy-Privacy Trade-off of Mobile Crowdsensing.
IEEE Commun. Mag., 2017

Profit Maximization Auction and Data Management in Big Data Markets.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

2016
Mobile big data analytics using deep learning and apache spark.
IEEE Netw., 2016

Rate-distortion Balanced Data Compression for Wireless Sensor Networks.
CoRR, 2016

Market model and optimal pricing scheme of big data and Internet of Things (IoT).
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Deep Activity Recognition Models with Triaxial Accelerometers.
Proceedings of the Artificial Intelligence Applied to Assistive Technologies and Smart Environments, 2016

2015
Markov Decision Processes With Applications in Wireless Sensor Networks: A Survey.
IEEE Commun. Surv. Tutorials, 2015

Toward a robust sparse data representation for wireless sensor networks.
Proceedings of the 40th IEEE Conference on Local Computer Networks, 2015

2014
Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications.
IEEE Commun. Surv. Tutorials, 2014

Area coverage under low sensor density.
Proceedings of the Eleventh Annual IEEE International Conference on Sensing, 2014

Efficient data compression with error bound guarantee in wireless sensor networks.
Proceedings of the 17th ACM International Conference on Modeling, 2014


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