Doctor Farhad Ahamed
Associate Lecturer in Cybersecurity and Behaviour,
Dean's Unit, School of Social Sciences
Biography
Dr Farhad Ahamed has successfully pursued a career spanning academia, research, and the IT sector. After completing his PhD from the SCDMS at Western Sydney University, Farhad worked as a Research Associate in the Industrial AI Research Center at University of South Australia. His teaching focuses on digital forensics and network security. His research area includes Cybersecurity, Applied Machine Learning and Biometrics with specific interest in "Security, privacy, and ethics in narrow AI system.
This information has been contributed by Doctor Ahamed.
Qualifications
- PhD Western Sydney University
Professional Memberships
- Australian Computer Society (2010 - 2012)
Awards
- China Scholarship Council Scholarship 2000-08-01
- China Scholarship Council Scholarship 2006-08-01
- Australia Govt. RTP Scholarship 2017-11-13
- Australia Govt. RTS Scholarship 2012-02-13
Interests
- Biometrics and Smart Environment
- Cybersecurity
- Cybercrime
- Internet of Things
- Speech sound disorders
Organisational Unit (School / Division)
- Dean's Unit, School of Social Sciences
Committees
- Teaching and Learning Committee, Kent Institute Australia
- Academic Board, Kent Institute Australia
- MICT Course Development Working Party, Kent Institute Australia
- Exam Committee, Kent Institute Australia
Contact
| Email: | Farhad.Ahamed@westernsydney.edu.au |
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Teaching
Previous Teaching Areas
- 300143 Network Security, 2019
- 300167 Systems Programming 1, 2018
- 300167 Systems Programming 1, 2019
- 300167 Systems Programming 1, 2020
- 300167 Systems Programming 1, 2021
- 300597 Master Project 1, 2019
- 300597 Master Project 1, 2020
- 300598 Master Project 2, 2019
- 300598 Master Project 2, 2020
- 300952 Wireless and Mobile Networks, 2019
- 300952 Wireless and Mobile Networks, 2020
- 300952 Wireless and Mobile Networks, 2021
- 301068 Network Security, 2020
- 301175 Internet of Things, 2018
- COMP3025 Wireless and Mobile Networks, 2022
Publications
Chapters in Books
- Ahamed, F., Farid, F. and Dawoud, A. (2023), 'Taxonomy of green mobile cloud computing for multimedia applications', Proceedings of the 2023 International Conference on Advances in Computing Research (ACR'23), Springer 9783031337420.
- Ahamed, F., Shahrestani, S. and Cheung, H. (2023), 'Privacy-aware IoT based fall detection with infrared sensors and deep learning', Proceedings of the Second International Conference on Innovations in Computing Research (ICR'23), Springer 9783031353079.
Journal Articles
- Zalnezhad, A., Rahman, A., Ahamed, F., Vafakhah, M. and Samali, B. (2023), 'Design flood estimation at ungauged catchments using index flood method and quantile regression technique : a case study for South East Australia', Natural Hazards, vol 119, no 3 , pp 1839 - 1862.
- Sabrina, F., Sohail, S., Farid, F., Jahan, S., Ahamed, F. and Gordon, S. (2022), 'An interpretable artificial intelligence based smart agriculture system', Computers, Materials & Continua, vol 72, no 2 , pp 3777 - 3797.
- Ahamed, F., Farid, F., Suleiman, B., Jan, Z., Wahsheh, L. and Shahrestani, S. (2022), 'An intelligent multimodal biometric authentication model for personalised healthcare services', Future Internet, vol 14, no 8 .
- Farid, F., Farid, F., Elkhodr, M., Elkhodr, M., Sabrina, F., Ahamed, F., Ahamed, F. and Gide, E. (2021), 'A smart biometric identity management framework for personalised IoT and cloud computing-based healthcare services', Sensors, vol 21, no 2 .
- Ahamed, F., Shahrestani, S. and Cheung, H. (2020), 'Internet of Things and machine learning for healthy ageing : identifying the early signs of dementia', Sensors, vol 20, no 21 .
- Ahamed, F., Shahrestani, S. and Ginige, A. (2013), 'Cloud computing : security and reliability issues', Communications of the IBIMA, vol 2013, no 655710 , pp 1 - 12.
Conference Papers
- Elkhodr, M., Gide, E., Farid, F. and Ahamed, F. (2023), 'A blockchain and IoT-enabled secure health data handling framework', International Conference on Advances in Biomedical Engineering, Beirut, Lebanon.
- Ahamed, F., Shahrestani, S. and Cheung, H. (2020), 'Intelligent fall detection with wearable IoT', International Conference on Complex, Intelligent, and Software Intensive Systems, Sydney, N.S.W..
- Ahamed, F., Shahrestani, S. and Cheung, H. (2019), 'Identification of the onset of dementia of older adults in the age of Internet of things', International Conference on Machine Learning and Data Engineering, Sydney, N.S.W..
- Ahamed, F., Farid, F. and Farid, F. (2019), 'Applying Internet of Things and machine-learning for personalized healthcare : issues and challenges', International Conference on Machine Learning and Data Engineering, Sydney, N.S.W..
- Farid, F., Farid, F. and Ahamed, F. (2019), 'Biometric authentication for dementia patients with recurrent neural network', International Conference on Electrical Engineering Research and Practice, Sydney, N.S.W..
- Ahamed, F., Shahrestani, S. and Javadi, B. (2016), 'Security aware and energy-efficient virtual machine consolidation in cloud computing systems', ISPA (Conference), Tianjin, China.
- Ahamed, F., Shahrestani, S. and Javadi, B. (2015), 'Developing security profile for virtual machines to ensure secured consolidation : conceptual model', Australasian Symposium on Parallel and Distributed Computing, Parramatta, N.S.W..
- Ahamed, F., Shahrestani, S. and Ginige, A. (2012), 'Addressing the challenges in securing the cloud', International Business Information Management Association. Conference, Barcelona, Spain.
Research Interests:
Cybersecurity, Applied Machine Learning, Internet of Things, Cybercrime
Current research focus:
Voice Based Continuous Authentication to secure Smart Aging Services
Malware Activities Identification in Cloud Computing using Deep Learning and Resource Utilization
Privacy and Ethics in Narrow AI
Secure Smart Environment for Older Adults
Previous research:
(1) Smart Aging: Utilising Machine Learning and Internet of Things for Independent Living.
(2) Security Aware and Energy-Efficient Virtual Machine Consolidation in Cloud Computing Systems
This information has been contributed by Doctor Ahamed.