|
| Contact No. |
: |
- |
| Gender |
: |
FEMALE |
| Nationality |
: |
MALAYSIA |
| Current Positon |
: |
DS51-A-PENSYARAH UNIVERSITI |
| E-Mail |
: |
nsyafiqahmnafis@ump.edu.my |
|
| |
ACADEMIC QUALIFICATION |
| . 2023 |
: IJAZAH KEDOKTORAN (DOCTORAL DEGREE), UMP
|
| . 2016 |
: IJAZAH SARJANA (MASTERS DEGREE), UNIZA
|
| . 2012 |
: IJAZAH SARJANA MUDA (BACHELOR DEGREE), UNIZA
|
| . 2008 |
: MATRICULATION, KOLEJ MATRIKULASI PAHANG
|
| . 2006 |
: SPM DAN SETARAF, MRSM BESUT
|
|
| |
EXPERTISE |
| EXPERT AREA |
MAJOR |
YEARS OF EXPERTISE |
LEVEL |
| DATA MINING |
CLASSIFICATION |
7 |
SANGAT TINGGI |
| DATA MINING |
MACHINE LEARNING |
7 |
TINGGI |
| OTHER INFORMATION, COMPUTER AND COMMUNICATION TECHNOLOGY (ICT) N.E.C. |
TEXT ANALYSIS |
5 |
TINGGI |
|
| |
EMPLOYMENT HISTORY |
| EMPLOYER |
POST |
JOIN DATE |
RESIGN DATE |
STATUS |
| Csc Malaysia Sdn.Bhd |
PROGRAMMER ANALYST |
01/08/2012 |
28/02/2014 |
TETAP |
|
| |
|
RESEARCH |
| NO. |
TITLE |
ROLE |
START DATE |
END DATE |
STATUS |
| 1. |
ANOMALY DATA DETECTION IN RFID DATA STREAM MONITORING SYSTEM USING HASH BASED APPROACH (RDU242734) |
Member |
03-JUN-2024 |
02-JUN-2025 |
Sedang Berjalan |
| 2. |
ANOMALY DATA DETECTION IN RFID DATA STREAM MONITORING SYSTEM USING HASH BASED APPROACH (UIC241536) |
Member |
03-JUN-2024 |
02-JUN-2025 |
Sedang Berjalan |
| 3. |
A FORMULATION OF HYBRID DYNAMIC CONFIGURABLE DEEP NEURAL NETWORK WITH NEUROEVOLUTION OPTIMIZATION TECHNIQUE TO OBTAIN OPTIMAL MODEL FOR IMAGE-BASED PATTERN RECOGNITION SYSTEMS |
Member |
15-MAY-2024 |
14-MAY-2026 |
Sedang Berjalan |
| 4. |
IMPROVING SENTIMENT CLASSIFICATION FOR BURNOUT EMPLOYEES USING RECURSIVE FEATURE ELIMINATION (RFE) AND DEEP LEARNING AS FEATURE SELECTION USING SOCIAL MEDIA POST (RDU242709) |
Leader |
22-APR-2024 |
21-APR-2025 |
Sedang Berjalan |
| 5. |
IMPROVING SENTIMENT CLASSIFICATION FOR BURNOUT EMPLOYEES USING RECURSIVE FEATURE ELIMINATION (RFE) AND DEEP LEARNING AS FEATURE SELECTION USING SOCIAL MEDIA POST (UIC241511) |
Leader |
22-APR-2024 |
21-APR-2025 |
Sedang Berjalan |
| 6. |
NON-PREDICTIVE MEASURE FEATURE SELECTION TECHNIQUE USING TF-IDF AND THRESHOLDING FOR BURNOUT EMPLOYEE CLASSIFICATION. |
Leader |
25-DEC-2023 |
24-DEC-2025 |
Sedang Berjalan |
| 7. |
PREDICTING SUICIDAL IDEATION FROM SOCIAL MEDIA CONTENT AMONG ONLINE COMMUNITIES USING DEEP LEARNING MODEL |
Member |
01-NOV-2023 |
31-OCT-2025 |
Sedang Berjalan |
|
| |
|
PUBLICATION |
| TYPE |
PUBLICATION |
TARIKH PENERBITAN |
TYPE OF CONTRIBUTION |
REFEREED PUBLICATION |
| JOURNAL |
An enhanced hybrid feature selection
technique using term frequency-inverse document frequency and support vector
machine-recursive feature elimination for sentiment classification. I |
20/10/2021 |
90 |
|
| |
|
