Research Profile

Research contributions in signal processing, communications, wavelet transform, intelligent systems, wireless sensing, and engineering applications.

Research Overview

Dr. Abdel-Rahman Al Qawasmi’s research profile is mainly focused on signal processing, communication systems, intelligent classification techniques, wavelet transform applications, and wireless sensing systems. His Google Scholar profile identifies his major research areas as signal processing and communications.

His research work includes speech and speaker recognition, wavelet-based feature extraction, neural-network-based classification, ECG signal enhancement, biological signal processing, digital communication systems, spread-spectrum techniques, OFDM-based systems, Bluetooth/WLAN interference, wireless sensor and actuator networks, and energy-efficiency management systems.

View Google Scholar Profile ORCID: 0000-0001-7807-7882 View ResearchGate Profile View Academia.edu Profile

Signal Processing

Research activities related to signal analysis, filtering, enhancement, feature extraction, biological signals, and engineering signal applications.

Communication Systems

Research work in digital communications, spread-spectrum systems, CDMA, OFDM, M-ary signaling, FSK, PAM, fading channels, and wireless transmission.

Wavelet Transform

Application of wavelet transform in speech processing, speaker identification, ECG enhancement, signal compression, and feature tracking.

Neural Networks

Use of neural-network classifiers and intelligent systems for speech recognition, speaker identification, and engineering classification problems.

Wireless Sensing Systems

Research on wireless sensor and actuator networks for monitoring, control, data collection, and smart energy management applications.

Energy Efficiency

Research on energy-efficiency management, wireless monitoring, smart control, and engineering-building energy performance improvement.

649+

Google Scholar Citations

Main Scholar Areas

Research Directions

Main Research Directions

Signal processing and feature extraction for engineering and biomedical signals.
Wavelet-transform-based methods for speech, speaker, and ECG signal analysis.
Neural-network-based speech recognition and speaker identification systems.
Digital communication systems including CDMA, OFDM, FSK, PAM, and spread-spectrum techniques.
Wireless communication performance under fading, interference, and noisy environments.
Wireless sensor and actuator networks for smart energy management and monitoring.
Energy-efficiency improvement in educational and engineering buildings.

Research Tools and Methods

MATLAB Simulation

Speech Processing

Wavelet Transform

Neural Networks

Communication Systems

Wireless Sensing

Representative Research Themes

Wavelet-Based Signal Analysis

Application of wavelet transform for signal enhancement, compression, speech recognition, speaker identification, and biomedical signal processing.

Speech and Speaker Recognition

Development of recognition systems based on feature extraction, wavelet decomposition, Mel-frequency features, linear prediction coefficients, and neural-network classifiers.

Digital and Wireless Communications

Analysis of digital transmission techniques, DS-CDMA, OFDM, fading channels, spread-spectrum methods, interference effects, and modulation performance.

Wireless Sensor and Actuator Networks

Use of wireless sensing and actuator networks for real-time monitoring, smart control, energy management, and engineering-building energy-efficiency improvement.

Engineering Education and Quality Systems

Academic contributions related to engineering education, outcome-based assessment, accreditation support, quality assurance, and digital academic management systems.

Selected Keywords

Signal Processing Communications ORCID: 0000-0001-7807-7882 ResearchGate Profile Academia.edu Profile Wavelet Transform Speech Recognition Speaker Identification Neural Networks ECG Enhancement CDMA OFDM Wireless Sensing Energy Efficiency ABET and Quality Assurance