Dr. Aaliya Sarfaraz | Signal Processing | Best Researcher Award 

Dr. Aaliya Sarfaraz | Signal Processing | Lecturer at Sunway University | Malaysia

Dr. Aaliya Sarfaraz is a distinguished academic and researcher in the fields of blockchain, supply chain management, and data security, with an established reputation for advancing innovative frameworks in privacy-preserving technologies and secure information systems. She earned her Ph.D. in Computer Science from the University of New South Wales Canberra, preceded by a Master’s degree from the University of Seoul and a Bachelor of Engineering in Computer Science and Engineering from Balochistan University of Engineering and Technology, Pakistan. Over her professional career, Dr. Aaliya Sarfaraz has served as a Lecturer in the Department of Smart Computing and Cyber Resilience at Sunway University, a Sessional Academic at UNSW Canberra, and a Lecturer at COMSATS University Islamabad and BUET Khuzdar, showcasing her diverse international teaching and research experience across Malaysia, Australia, Pakistan, and Korea. Her research interests focus on blockchain-enabled supply chains, data privacy, cyber resilience, scalable consensus algorithms, and security frameworks that integrate artificial intelligence and next-generation computing for industry-driven applications. She has developed strong research skills in algorithm design, access control models, simulation studies, blockchain scalability, malicious URL detection, and digital forensics, which are reflected in her extensive publication record. Dr. Aaliya Sarfaraz has published impactful works in renowned journals and conferences, including Future Generation Computer Systems, Journal of Ambient Intelligence and Humanized Computing, Computers and Security, IEEE Access, and Blockchain Research and Applications, with her works indexed in Scopus and widely cited by the research community. she has successfully published 15 research documents, accumulating 232 citations and achieving an H-index of 10 on Scopus and Google Schola, which reflects her rising academic impact. She has been an active contributor to international research projects, such as blockchain-powered sustainable supply chains, which demonstrate her capacity to bridge academic theory with industrial and societal applications. Her professional recognition includes competitive research grants and invitations to contribute to scholarly initiatives in cybersecurity and supply chain innovation. In addition to research, Dr. Aaliya Sarfaraz has demonstrated academic leadership by mentoring students, participating in collaborative networks, and contributing as a reviewer for leading journals. Her awards and honors highlight her recognition within the academic community for impactful contributions to smart computing and secure digital infrastructures. In conclusion, Dr. Aaliya Sarfaraz represents an accomplished scholar and educator who combines rigorous research, professional dedication, and international collaborations, making her a deserving candidate for recognition and a future leader in blockchain and cybersecurity research with global impact.

Profile: Scopus | ORCID

Featured Publications 

  1. Exploring information hiding in images – problems and measures: a survey – 2025 – Citations: 5

  2. Enhancing Malicious URL Detection: A Novel Framework Leveraging Priority Coefficient and Feature Evaluation – 2024 – Citations: 8

  3. Optimized Key Recovery for Blockchain Wallets in Sustainable Supply Chains – 2024 – Citations: 3

  4. AccessChain: An access control framework to protect data access in blockchain enabled supply chain – 2023 – Citations: 12

  5. Reputation based proof of cooperation: an efficient and scalable consensus algorithm for supply chain applications – 2023 – Citations: 10

  6. The implications of blockchain-coordinated information sharing within a supply chain: A simulation study – 2023 – Citations: 7

  7. A tree structure-based improved blockchain framework for a secure online bidding system – 2021 – Citations: 15

 

Aaliya Sarfaraz | Signal Processing | Best Researcher Award

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