Dr Aaliya Sarfaraz

Dr Aaliya Sarfaraz

  • Lecturer
Department of Smart Computing and Cyber Resilience
Google Scholar ORCID
SDGs Focus
Industry, Innovation and Infrastructure
Sustainable Cities and Communities

Biography

Aaliya Sarfaraz received her PhD degree from University of New South Wales, Australia. She is a lecturer in the School of Engineering and Technology at Sunway University, Malaysia. Her research interests cover a wide range of topics in blockchain, supply chain, network security and privacy and artificial intelligence.

Academic & Professional Qualifications

  • PhD in Computer Science, University of New South Wales, Australia (2023)
  • MS in Computer Science University of Seoul, South Korea (2015)
  • BE in Computer System Engineeing, Balochistan University of Engineering & Technology Khuzdar (2012)

Research Interests

  • Blockchain Technology
  • Computer Networks
  • Distributed Systems
  • Data Privacy and security

Notable Publications

  1. Sarfaraz, A., Chakrabortty, R. K., & Essam, D. L. (2023). AccessChain: An access control framework to protect data access in blockchain enabled supply chain. Future Generation Computer Systems.
  2. Sarfaraz, A., Chakrabortty, R. K., & Essam, D. L. (2022, December). Towards a Scalable Permissioned Blockchain Framework for Supply Chain Management. In 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 960-964). IEEE.
  3. Sarfaraz, A., Chakrabortty, R. K., & Essam, D. L. (2023). Reputation-based proof of cooperation: an efficient and scalable consensus algorithm for supply chain applications. Journal of Ambient Intelligence and Humanized Computing, 1-17.
  4. Sarfaraz, A., Chakrabortty, R. K., & Essam, D. L. (2022). The implications of blockchain-coordinated information sharing within a supply chain: A simulation study. Blockchain: Research and Applications, 100110.
  5. Sarfaraz, A., Chakrabortty, R. K., & Essam, D. L. (2021). A tree structure-based improved blockchain framework for a secure online bidding system. Computers & Security, 102, 102147.
  6. Fayyaz, M. A., Anjum, A., Ziauddin, S., Khan, A., & Sarfaraz, A. (2020). An improved surveillance video forgery detection technique using sensor pattern noise and correlation of noise residues. Multimedia Tools and Applications, 79, 5767-5788.
  7. Noor, R., Khan, A., Sarfaraz, A., Mehmood, Z., & Cheema, A. M. (2019). Highly robust hybrid image watermarking approach using Tchebichef transform with secured PCA and CAT encryption. soft computing, 23, 9821-9829.
  8. Khan, A., & Sarfaraz, A. (2019). FFT-ETM based distortion less and high payload image steganography. Multimedia Tools and Applications, 78, 25999-26022.
  9. Khan, A., & Sarfaraz, A. (2019). Novel high-capacity robust and imperceptible image steganography scheme using multi-flipped permutations and frequency entropy matching method. Soft Computing, 23, 8045-8056

Achievements & Accolades

  1. University of New South Wales Doctoral Scholarship (2019)
  2. University of Seoul master’s Scholarship (2013)
  3. Gold Medal In Bachelor of Engineering, Balochistan University of Engineering & Technology Khuzdar (2012)