Researcher

Dr Aline Ibrahim Maalouf

My Expertise

Quantum Control, Control Engineering, Machine Learning, Artificial Intelligence, Embedded Systems.

Keywords

Fields of Research (FoR)

Control engineering, Machine learning, Artificial intelligence

Biography

Aline Maalouf holds BSc. and MSc. degrees in Electrical Engineering, an Mphil degree in Control Engineering from Cambridge University in UK and a PhD. in quantum control from UNSW ADFA. She worked as a research associate at UNSW ADFA and at ANU in the area of quantum control. She has also industrial/academic/lecturer experience in robotics, machine learning and artificial intelligence acquired at ANU. She developed hardware/software...view more

Aline Maalouf holds BSc. and MSc. degrees in Electrical Engineering, an Mphil degree in Control Engineering from Cambridge University in UK and a PhD. in quantum control from UNSW ADFA. She worked as a research associate at UNSW ADFA and at ANU in the area of quantum control. She has also industrial/academic/lecturer experience in robotics, machine learning and artificial intelligence acquired at ANU. She developed hardware/software integrations on FPGAs (Terasic/Altera) for many projects involving robotic cars, online face detection, online character recognition, online car following robotic cars, hexapod robots, and biped robots in addition to many other projects. She is currently a senior research associate at UNSW ADFA working in the area of machine learning.

    


My Qualifications

1- BSc. in Electrical Engineering.

2- MSc. in Electrical Engineering.

3- Mphil in Control Engineering (Cambridge University).

4- PhD in Quantum Control (UNSW ADFA).


My Awards

1- Fellow of The Cambridge Overseas Trust.

2- ALMA Prize.

3- Finalist for the student Best Paper Award at the American Control Conference (ACC 2009).

4- Scholarship from the University of New South Wales.

5-Cambridge Overseas Trust Scholarship.

 


My Research Activities

1- The application of machine learning to cybersecurity, IOT and artificial intelligence.

2-The integration of quantum control with machine learning for developing robust quantum computing techniques.

3-The development and integration of signal processing techniques with deep learning.

4-The integration of Embedded Systems with deep learning.


My Research Supervision


Supervision keywords


Areas of supervision

 Quantum Control, Control Engineering, Machine Learning, Embedded Systems, Electrical Engineering, Artificial Intelligence.


My Teaching

1- ENGN8537: Embedded Systems and Real Time Digital Signal Processing at ANU.

 

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Location

Contact

62688518