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Dr. Ammar Alazab (PhD, MEngg, BEngg)  Senior Lecturer| School of Information Technology & Engineering (SITE) |Academic Department

T: reception  +61 3 8600 6700 |   F +61 3 9010 0999 | T: direct +61 3 8600 6728 |   E aalazab@mit.edu.au

Level 6, 288 La Trobe Street, Melbourne Victoria 3000 Australia

W: www.mit.edu.au  |  TW:  twitter.com/mitaustralia  |  FB:   facebook.com/mit.australia

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Biographical Sketch:

 

Dr. Ammar Alazab received his Ph.D. degree is in Computer Science from Deakin University. Dr. Alazab works as a senior lecturer at Melbourne Institute of Technology. Alazab has a long experience and international recognition in the field of cybersecurity and computer network as well as in the field of data science and cloud computing expertise. He has published two book chapters and over 50 refereed conference and journal papers. He has taught several courses at the graduate and postgraduate level in addition to supervising many graduate dissertations at international Universities. Dr. Alazab had many consultations and presented several workshops for a variety of organizations such as the industries, the Ministries and society. He chaired several conferences, was invited as keynote speaker to several international conferences and was a member of several committees in the country and abroad. Dr. Alazab has also worked as a reviewer for many scientific journals and conferences.

Research Interests

 

Data Science: Algorithms/Techniques: Hyper-heuristics, Evolutionary Computation, Automatic Design of Optimisation Methodology, Machine Learning, Automatic Design of Deep learning Methods and Meta-learning Approaches.

 Network and Operating Systems: Computer network Architectures, Computer Communications Systems Hardware and Software Technology, Wireless Sensor Systems, Digital Radio Communication Systems Engineering, Industrial Internet of Things (IIoT) Communication Systems.

 

Cyber Security: Privacy-enhancing Technologies, Security protocol design for Data and the Cloud, Security protocol formal verification methods, Big Data, Cloud Security, Mobile computing, Intrusion Detection Systems

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