CV Information
NOR MUZLIFAH BINTI MAHYUDDIN PROFESOR MADYA DR. NOR MUZLIFAH BINTI MAHYUDDIN
Grant's Name,"Project's Title" (Research Period)(Role)[Sponsorship]
1 EXTERNAL AGENCY (INDUSTRY/PRIVATE), "POWER GRID DESIGN DO'S AND DON'TS FOR OPTIMUM IR-DROP AND PERFORMANCE IMPROVEMENT" (01.11.2023 - 31.07.2024) (Principal)
[ OPPSTAR TECHNOLOGY SDN BHD ] - Source: eR&I
2 EXTERNAL AGENCY (INDUSTRY/PRIVATE), "DESIGN AND AES ENCRYPTION IP CORE USING THE AES RIJNDAEL BLOCK CIPHER ALGORITHM" (01.11.2023 - 31.07.2024) (Principal)
[ OPPSTAR TECHNOLOGY SDN BHD ] - Source: eR&I
3 EXTERNAL AGENCY (INDUSTRY/PRIVATE), "DESIGN RELIABILITY - CORRECT BY CONSTRUCT THROUGH TACKLING ELECTROMIGRATION AND SELF HEATING (EM & SH)" (01.11.2022 - 30.09.2023) (Principal)
[ OPPSTAR TECHNOLOGY SDN BHD ] - Source: eR&I
4 EXTERNAL AGENCY (INDUSTRY/PRIVATE), "MINIMIZE POWER GRID IR-DROP IMPACT ON MULTI POWER DOMAIN MEMORY CIRCUIT" (01.11.2022 - 30.09.2023) (Principal)
[ OPPSTAR TECHNOLOGY SDN BHD ] - Source: eR&I
5 FUNDAMENTAL RESEARCH GRANT SCHEME (FRGS), "MODELING EFFECTS OF RECONFIGURABLE INTELLIGENT SURFACE THROUGH ENERGY EFFICIENCY MAXIMIZATION FACTORING IN TARGET LOCALIZATION ACCURACY CONSTRAINT FOR A RADAR SYSTEM." (01.09.2022 - 31.08.2025) (Principal)
[ KEMENTERIAN PENGAJIAN TINGGI ] - Source: eR&I
6 MATCHING GRANT INDUSTRY (BJIM), "INTERACTIVE AUGMENTED REALITY-MACHINE LEARNING FUSION ALGORITHM (I-ARFAML) FOR MACHINE PREVENTIVE MAINTENANCE AND REPAIRING APPLICATION" (01.04.2022 - 31.03.2023) (Principal)
[ USM & SANDISK STORAGE MALAYSIA SDN. BHD. ] - Source: eR&I
7 EXTERNAL GRANT INDUSTRY (BJIM), "INTERACTIVE AUGMENTED REALITY - MACHINE LEARNING FUSION ALGORITHM (ARFAML) FOR MACHINE PREVENTIVE MAINTENANCE & REPAIRING APPLICATION" (30.11.2020 - 29.11.2023) (Principal)
[ SANDISK STORAGE MALAYSIA SDN. BHD. ] - Source: eR&I
8 FUNDAMENTAL RESEARCH GRANT SCHEME (FRGS), "AN INVESTIGATION ON VIA-IMPEDANCE TERMINATION TOPOLOGY ON MULTI-LAYERED LEFT-HANDED METAMATERIAL FOR 5G TECHNOLOGY" (15.08.2017 - 14.08.2020) (Principal)
[ KEMENTERIAN PENDIDIKAN TINGGI ] - Source: eR&I