Important Update – 6% Service Tax (SST) for International Students Starting 1 September 2025
Important Update – 6% Service Tax (SST) for International Students Starting 1 September 2025

Our Faculty

Prof. Ts. Dr. Salwani binti Mohd Daud

Prof. Ts. Dr. Salwani binti Mohd Daud

PROFESSOR
VICE CHANCELLOR
Vice Chancellor's Office
salwanidaud@unimy.edu.my
ACADEMIC QUALIFICATIONS
  • Ph.D. in Electrical Eng., Universiti Teknologi Malaysia, Malaysia
  • Master in Electrical Eng., Universiti Teknologi Malaysia, Malaysia
  • B. Eng. (Hons.) (Electronics Eng.), University of Liverpool, United Kingdom
RESEARCH AREAS
  • Artificial Intelligence
  • Computer Vision
  • Cyber Security
  • Cryptography
  • Internet of Things
RESEARCH GRANT / SUPERVISION
  • Principal Investigator: 05G71, Secure and Scalable Decentralized Sharing of Medical Data Using Blockchain Technology, 2018-2021. TDR UTM
  • Principal Investigator: 09G00, A Secured and Autonomous Quality Fish Supply Chain Traceability System Using Integrated Blockchain-IOT-AI, 2019-2021. CRG UTM
  • Project Leader (UNIMY): YAYASAN HASANAH GRANT: Transformasi Komuniti Kalumpang dan Sri Perlis 2 Datuk Keramat melalui Digital Ekonomi untuk Peningkatan Pendapatan. Collaborate with Al-Amin Edu Oasis. 2023-2024
  • Main Supervisor PhD: Prathigadapa Sireesha: Enhancing Online Learning: Adaptive Virtual Tutoring And Student Performance Analysis Using GPT-3 With Reinforcement Learning. Graduated 2025
  • Main Supervisor PhD: Abunasser Basem S S: Enhancing Breast Cancer Diagnosis through Convolutional Neural Networks: An In-Depth Medical Image Analysis Study. Graduated 2025
  • Main Supervisor for PhD: Ali Aboulqasim Omar Maetouq: A Secured Medical Records Blockchain Based System Supported by NMNT Hash Function. Graduated 2022
  • Main Supervisor for PhD: Sarojini Dewi: Enhanced Density Classification Model Using Spatial Data for Sustainable Urban Planning. Graduated 2022
  • Main Supervisor PhD: Vahid Davoudi: An Optimized Context-Aware Mobile Computing Model To Filter Inappropriate Incoming Calls In Smartphone. Graduated 2020
  • Main Supervisor: Zhang Chansheng: Enhancing Foreign Body Detection Precision in Medical Infusion Bag Inspection Using Computer Vision-Based Industrial Quality Control Systems. In progress
PUBLICATIONS
  1. Changseng Zhang and Salwani Mohd Daud. Design and Implementation of Industrial Defect Detection System based on Efficientnets. 2025 4th International Conference on Optics and Machine Vision (ICOMV 2025), Changchun, China, April 11-13, 2025
  2. Prathigadapa, S., & Salwani Binti Mohd Daud. A Review of Virtual Tutoring Systems and Student Performance Analysis Using GPT-3. Journal of Learning for Development, 12(1), 168–181. Retrieved from https://jl4d.org/index.php/ejl4d/article/view/1367. 2025.
  3. Co-Author: GOVERNMENT POLICY – MALAYSIA NATIONAL AI ROADMAP 2021-2025 appointed by Ministry of Science, Technology & Innovation (MOSTI), 2021
  4. Abunasser, B.S., Mohd Daud, S., Zaqout, I.S., Abu-Naser, S.S. Convolution Neural Network for Breast Cancer Detection And Classification – Final Results, Journal of Theoretical and Applied Information Technology, 101(1), pp. 315–329, 2023.
  5. Prathigadapa Sireesha, and Salwani Binti Mohd Daud. A review on virtual tutoring and student performance analysis using GPT-3. Pedagogical Revelations and Emerging Trends, Routledge, Taylor & Francis Group, Book Chapter, Conference Proceedings, 2024.
  6. Nur Syazarin Natasha Abd Aziz, Salwani Mohd Daud, Rudzidatul Akmam Dziyauddin, Mohamad Zulkefli Adam, and Azizul Azizan. A Review on Computer Vision Technology for Monitoring Poultry Farm—Application, Hardware, and Software. IEEE Access, DOI:10.1109/ACCESS.2020.3047818. 2021.
  7. Faheem Reegu, Salwani Mohd Daud, Shadab Alam, Interoperability Challenges in Healthcare Blockchain System -A Systematic Review. Annals of R.S.C.B., ISSN:1583-6258, Vol. 25, Issue 4, pp. 15487-1549, 2021.
  8. Shadab Alam, Faheem Ahmad Reegu, Salwani Mohd Daud, Mohammed Shuaib. Blockchain- Based UFA Electronic Health Record System for Efficient Covid-19 Pandemic Management. Preprints 2021, 2021040771 (doi: 10.20944/preprints202104.0771.v1), 2021.
  9. A. A. Mazlan, S. Mohd Daud, S. Mohd Sam, H. Abas, S. Z. Abdul Rasid and M. F. Yusof. Scalability Challenges in Healthcare Blockchain System – A Systematic Review. IEEE ACCESS, Vol. 8: 23663-23673, 2020.
  10. Faezehshadat Shahidi, Salwani Mohd Daud, Hafiza Abas, Noor Azurati Ahmad and Nurazran Maarop, Breast Cancer Classification Using Deep Learning Approaches and Histopathology Image: A Comparison Study. IEEE ACCESS, Vol. 8: 187531 –187552, 2020.
PROFESSIONAL BODIES
  • Malaysia Board of Technologist (MBOT)