Portrait of Dr. Ahmed Altunaiji

Advancing Electrical Engineering Innovation

Dr. Ahmed Altunaiji

Assistant Professor at Khalifa University, specializing in wireless sensor networks, signal processing in communications and Artificial Intelligence.

Biography

Dr. Ahmed Al Tunaiji received his B.Eng. degree in electronic engineering, the M.Sc. degree by research, and the Ph.D. degree in communication engineering from Khalifa University, in 2007, 2009, and 2014, respectively.

He was a Senior Researcher with the Emirates ICT Innovation Center (EBTIC), from 2016 to 2019. He is currently an Assistant Professor at Khalifa University.

His research interests include wireless sensor networks, signal processing in communications and Artificial Intelligence.

Contact Information

Affiliation

Assistant Professor

Electrical Engineering

Khalifa University

Professional Statistics

40+

Publications

Research papers & articles

20+

Years

Professional experience

20+

Projects

Research initiatives

1

Research Center

6G Research Center

Publications

An overview of localization techniques for wireless sensor networks

2011 international conference on innovations in information technology

The paper concentrates on the factors that need to be considered when selecting a localization technique. The advantages and limitation of various techniques are also discussed. Finally, future research directions and challenges are highlighted.

Hybrid RSS-DOA technique for enhanced WSN localization in a correlated environment

2015 International Conference on Information and Communication Technology

This paper proposes a modified hybrid method for WSN localization that combines Received Signal Strength (RSS) and Direction of Arrival (DOA) estimation based on MUSIC (Multiple Signal Classification) using circular antenna array with smoothing capability.

A novel implementation of an AI-based smart construction safety inspection protocol in the UAE

IEEE Access 9, 166603-166616

This paper establishes a real time detection algorithm based on a Convolutional Neural Network (CNN) model in order to detect two main components of the PFAS that are, safety harness and life-line, in addition to a standard safety measure of using a safety helmet.

Publication Metrics

Citations 460+
h-index 12
Journal Articles 20
Conference Papers 15

Research Interests

Wireless Sensor Networks

Developing innovative solutions for wireless sensor networks with applications in environmental monitoring, industrial automation, and smart cities.

IoT WSN LPWAN

Signal Processing in Communications

Researching advanced signal processing techniques for next-generation communication systems focusing on performance enhancement and interference mitigation.

5G/6G MIMO DSP

Artificial Intelligence

Exploring AI applications in telecommunications and networking with a focus on resource allocation, network optimization, and predictive maintenance.

Machine Learning Deep Learning Neural Networks

Affiliated Research Centers

6G Research Center

Focused on developing technologies for next-generation wireless communications

Education

2010 - 2014

Ph.D., Communication Engineering

Khalifa University, UAE

Focused on advanced communication systems and signal processing techniques for wireless networks.

2007 - 2009

M.Sc., Communication Engineering

Khalifa University, UAE

Research-based master's program with focus on communication systems.

2003 - 2007

B.Sc., Electronics Engineering

Etisalat University College, UAE

Comprehensive program covering fundamentals of electronic and communication engineering.

Teaching

ECCE 406: Instrumentation and Measurements

Undergraduate
Fall Semester

This course introduces measurement and instrumentation, covering system characteristics, accuracy, error analysis, noise reduction, sensing, signal processing, and system design.

3 Credits

ECCE 200: Fundamentals of Electronic Systems

Undergraduate
Fall Semester

Fundamental course on electrical circuits and devices, covering sources, laws, circuit analysis (DC, transient, and AC), semiconductors, amplifiers, and basic digital logic design.

4 Credits

ECCE 221: Electric Circuits I

Undergraduate
Spring Semester

Fundamental course on circuit modeling and analysis, covering basic elements, op-amps, steady-state and transient responses, AC analysis, power calculations, and three-phase circuits.

4 Credits

ECCE 210: Digital Logic Design

Undergraduate
Fall Semester

This course covers digital logic design, including combinational and sequential circuits, programmable devices, ALU basics, and hands-on labs with CAD tools and simulation.

3 Credits

Teaching Philosophy

I believe in creating a learning environment that promotes critical thinking and the practical application of theoretical concepts. My goal is to prepare students not just for academic success, but for the real-world challenges they will face in their careers.

- Dr. Ahmed Altunaiji