Fakulti Komputeran Dan Informatik, UMS
Ts. Dr. Salmah Binti Fattah is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah. Their research focuses on Underwater Wireless Sensor Network (UWSN), Internet of Things (IoT) .
As a member of Fakulti Komputeran Dan Informatik, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.
Ts. Dr. Salmah Binti Fattah holds Doktor Falsafah (Ph.D) dalam Sensor Network (Sains Komputer) from Universiti Malaya , among other qualifications, and has established themselves as a respected expert in their field.
Academic Department
Fakulti Komputeran Dan Informatik, UMS
Appointed Department
Fakulti Komputeran Dan Informatik, UMS
Doktor Falsafah (ph.d) Dalam Sensor Network (sains Komputer)
Universiti Malaya
2022
Sarjana Teknologi Maklumat
Universiti Kebangsaan Malaysia
2003
Ijazah Sarjana Muda Sains Komputer
Universiti Kebangsaan Malaysia
1998
Projects
3
Active
3
Grants
RM 106,000.00
Information And Communication Technology (ict) - Sensor Networks
NOTE: N/A = Data not available, 0 = Data not completed
Documents
13
H-Index
4
Citations
271
Affiliation
Universiti Malaysia Sabah
Edutech stem analytics: empowering stem with iot, drones & computational thinking in sabah
Member
2025 - 2027
Educational robotics to promote stem learning.
Member
2024 - 2026
Pemerkasaan pendidikan stem di sabah melalui kit pembelajaran robotik dan dron
Member
2023 - 2026
NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED
Showing 1 to 5 of 5 entries
Salmah Binti Fattah (2025) , Enhancing The Rc4 Algorithm By Eliminating The Initiative Vector (iv) Transmission
Nordin Saad , Salmah Binti Fattah , Shaliza Hayati A. Wahab (2025) , Secure Communication Method In Wireless Sensor Networks
Ashraf Osman Ibrahim Elsayed , Carolyn Bt. Salimun@jackson , Hadzariah Binti Ismail , Salmah Binti Fattah (2025) , Machine Learning Approaches For Malware Classification In Android Platform: A Review
Salmah Binti Fattah , Goh Say Leng (2024) , Multi-hop And Mesh For Lora Networks: Recent Advancements, Issues, And Recommended Applications
Asni Tahir , Siti Hasnah Binti Tanalol , Salmah Binti Fattah (2024) , Swiftmask: A Real-time Deep Learning Solution For Facemask-wearing Detection