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Home> FSK1000-FAKULTI KOMPUTERAN

DR. NUR SYAFIQAH BINTI MOHD NAFIS

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. IMPROVING SENTIMENT CLASSIFICATION FOR BURNOUT EMPLOYEES USING RECURSIVE FEATURE ELIMINATION (RFE) AND DEEP LEARNING AS FEATURE SELECTION USING SOCIAL MEDIA POST (UIC241511) Leader 01-NOV-2024 31-OCT-2025 Sedang Berjalan
2. IMPROVING SENTIMENT CLASSIFICATION FOR BURNOUT EMPLOYEES USING RECURSIVE FEATURE ELIMINATION (RFE) AND DEEP LEARNING AS FEATURE SELECTION USING SOCIAL MEDIA POST (RDU242709) Leader 01-NOV-2024 31-OCT-2025 Sedang Berjalan
3. ANOMALY DATA DETECTION IN RFID DATA STREAM MONITORING SYSTEM USING HASH BASED APPROACH (UIC241536) Member 01-NOV-2024 31-OCT-2025 Sedang Berjalan
4. ANOMALY DATA DETECTION IN RFID DATA STREAM MONITORING SYSTEM USING HASH BASED APPROACH (RDU242734) Member 01-NOV-2024 31-OCT-2025 Sedang Berjalan
5. A NEW MODEL OF ENSEMBLE DEEP LEARNING ALGORITHMS THROUGH EFFECT OF SOCIAL NETWORK SIZE AND CAUSAL INFERENCE FOCUSING ON MENTAL HEALTH PREDICTION USING SOCIAL MEDIA DATA Member 01-AUG-2024 31-JUL-2027 Sedang Berjalan
6. 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
7. NON-PREDICTIVE MEASURE FEATURE SELECTION TECHNIQUE USING TF-IDF AND THRESHOLDING FOR BURNOUT EMPLOYEE CLASSIFICATION. Leader 25-DEC-2023 24-DEC-2025 Sedang Berjalan
8. 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
   

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