Artificial Intelligence

Artificial Intelligence is revolutionary in many ways. It has changed society; the way humans communicate and act. Most recently, there has been a rebirth in the field of AI for the betterment of humanity. AI is changing everything from healthcare, travel, warfare, robotics, education and more. 

Specialising in machine learning, deep learning, and the semantic web, the ICTAR Artificial Intelligence research theme aims to support students in their research as well as undertake funded research projects related to AI. 

Research Profiles

• Mr Frankie Inguanez
• Dr Owen Sacco
• Mr Thomas Gatt
• Mr Andrew Cortis 

Selected Publications & Dissertations 

1. Cilia, D. and Inguanez, F., 2018, September. Multi-Model authentication using keystroke dynamics for Smartphones. In 2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin) (pp. 1-6). IEEE.
2. Sciberras, R. and Inguanez, F., 2018, September. Road traffic flow estimation via public IP cameras. In 2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin) (pp. 1-5). IEEE. 
3. T. Gatt, D. Seychell and A. Dingli, “Detecting human abnormal behaviour through a video generated model,” 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA), Dubrovnik, Croatia, 2019, pp. 264-270. doi: 10.1109/ISPA.2019.8868795
4. Sciberras, R. and Inguanez, F., 2019, September. Automated traffic congestion estimation via public video feeds. In 2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin) (pp. 140-145). IEEE.
5. Damiano, N. and Inguanez, F., 2019, September. Brand usage detection via Audio Streams. In 2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin) (pp. 180-183). IEEE.