# Ateeq Ur Rehman

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ateeq-ur-rehman/

## Facts

| Field | Value |
| --- | --- |
| Citations | 6,354 |
| Field | IoT and Edge/Fog Computing |
| h-index | 41 |
| i10-index | 156 |
| Last Known Institution | University of Rome Tor Vergata |
| OpenAlex ID | https://openalex.org/A5037676122 |
| ORCID iD | 0000-0001-5203-0621 |
| Works | 297 |

## Researcher papers

- [A Hybrid Deep Learning-Based Approach for Brain Tumor Classification](https://scholariq.org/papers/a-hybrid-deep-learning-based-approach-for-brain-tumor-classification/)
- [Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain–Computer Interfaces](https://scholariq.org/papers/motor-imagery-eeg-signals-decoding-by-multivariate-empirical-wavelet-transform/)
- [Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform](https://scholariq.org/papers/motor-imagery-eeg-signals-classification-based-on-mode-amplitude-and-frequency/)
- [Detection of Distributed Denial of Service (DDoS) Attacks in IOT Based Monitoring System of Banking Sector Using Machine Learning Models](https://scholariq.org/papers/detection-of-distributed-denial-of-service-ddos-attacks-in-iot-based-monitoring/)
- [Student-Performulator: Student Academic Performance Using Hybrid Deep Neural Network](https://scholariq.org/papers/student-performulator-student-academic-performance-using-hybrid-deep-neural/)
- [Automatic Speech Recognition (ASR) Systems for Children: A Systematic Literature Review](https://scholariq.org/papers/automatic-speech-recognition-asr-systems-for-children-a-systematic-literature/)
- [Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework](https://scholariq.org/papers/exploiting-pretrained-cnn-models-for-the-development-of-an-eeg-based-robust-bci/)
- [Innovation in Green Building Sector for Sustainable Future](https://scholariq.org/papers/innovation-in-green-building-sector-for-sustainable-future/)
- [Depression recognition based on the reconstruction of phase space of EEG signals and geometrical features](https://scholariq.org/papers/depression-recognition-based-on-the-reconstruction-of-phase-space-of-eeg-signals/)
- [Implementation of a LoRaWAN Based Smart Agriculture Decision Support System for Optimum Crop Yield](https://scholariq.org/papers/implementation-of-a-lorawan-based-smart-agriculture-decision-support-system-for/)
- [YOLO-LeafNet: a robust deep learning framework for multispecies plant disease detection with data augmentation](https://scholariq.org/papers/yolo-leafnet-a-robust-deep-learning-framework-for-multispecies-plant-disease/)

## Researcher topics

- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Photovoltaic System Optimization Techniques](https://scholariq.org/topics/photovoltaic-system-optimization-techniques/)

## Researcher university

- [University of Rome Tor Vergata](https://scholariq.org/institutions/university-of-rome-tor-vergata/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.