Abdul Rauf- Ph.D.
- PhD at Donghua University
Abdul Rauf
- Ph.D.
- PhD at Donghua University
About
9
Publications
3,403
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30
Citations
Introduction
Abdul rauf has been working under the School of Information Science and Technology at Donghua University, Shanghai, China 201620. His research areas are Mobile Edge Computing, and the Internet of Things (IoT). He is kind, energetic, enthusiastic, and motivated. He can speak English and Chinese very well. He is always open to new research directions.
Skills and Expertise
Current institution
Publications
Publications (9)
Personal private information is commonly available in the form of big data. Therefore, privacy concerns in big data and its applications are common issues. In this paper, we conduct a bibliometric analysis of privacy in big data and its applications. For example, in a financial management system, customers are exposed to vast amounts of financial i...
Mobile edge computing (MEC) has a vital role in various delay-sensitive applications. With the increasing popularity of low-computing-capability Internet of Things (IoT) devices in industry 4. 0 technology, MEC also facilitates wireless power transfer, enhancing efficiency and sustainability for these devices. The most related studies
concerning th...
The security issues in Vehicle Ad Hoc Networks (VANETs) are prevalent within Intelligent Transportation Systems (ITS). To ensure the security of vehicle-to-infrastructure (V2I) communication, extensive research on V2I authentication has been conducted in recent years. However, these protocols often overlook the limitations of communication range, l...
Induction motors have been widely used across industry, particularly with smaller loads and fixed speed services. Existing works focus on fault detection of induction motors without considering the shutdown time and production in industry. Therefore, this work aims to monitor the health conditions of the induction motor continuously through electri...
Flying ad-hoc networks (FANETs) play a crucial role in disaster response, surveillance, and remote sensing. However, their highly dynamic topology and frequent link disruptions pose significant challenges to efficient routing. Existing protocols suffer from excessive control overhead, unstable links, and inefficient energy utilization, that limits...
The intrigue in multifunctional textile materials has been expanded due to the wellbeing care and security of living creatures in severer conditions. Therefore, the work investigated the oil/water separation efficiency of weft-knitted spacer fabrics with top performance; silica aerogels (SAs) coating demands special consideration. SAs were prepared...
The frequent exchange of multimedia information in the present era projects an increasing demand for copyright protection. In this work, we propose a novel audio zero-watermarking technology based on graph Fourier transform for enhancing the robustness with respect to copyright protection. In this approach, the combined shift operator is used to co...
The frequent exchange of multimedia information in the present era projects an increasing demand for copyright protection. In this work, we propose a novel audio zerowatermarking technology based on graph Fourier transform for enhancing the robustness with respect to copyright protection. In this approach, the combined shift operator is used to con...
With the development of cloud computing, the Mobile Edge Computing has emerged and attracted widespread attentions. In this paper, we focus on the load balancing in MEC with energy harvesting. We first introduce the load balancing in MEC as a problem of minimizing both the energy consumption and queue redundancy. Thereafter, we adapt such a optimiz...
Questions
Question (1)
Can we implement federated learning using reinforcement learning? It would be a great help if someone elaborate connection between these two learnings?
