Ts. Dr. Khalifa Chekima
Fakulti Komputeran Dan Informatik, UMS
Ts. Dr. Khalifa Chekima is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah. Their research focuses on Sentiment analysis, Data Analytics, Big Data, Machine Learning, knowledge discovery. 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. Khalifa Chekima holds Doktor falsafah from Universiti Malaysia Sabah , among other qualifications, and has established themselves as a respected expert in their field.
Contact Information
Academic Department
Fakulti Komputeran Dan Informatik, UMS
Appointed Department
Fakulti Komputeran Dan Informatik, UMS
Education
Doktor Falsafah
Universiti Malaysia Sabah
2018
Sarjana Science
Universiti Malaysia Sabah
2013
Research Collaborators
Research
Projects
7
Active
7
Grants
RM 240,115.00
Research Interests & Expertise
No expertise areas available
Publications
Total Publications by Year
Scopus Metrics
Scopus ProfileDocuments
12
H-Index
4
Citations
183
Affiliation
Universiti Malaysia Sabah
Research listing
Current Research Projects
Kajian pemerkasan usahawan asnaf melalui pembangunan kapasiti berasaskan ai
Member
2025 - 2026
Keberkesanan dan pemantauan program asnafpreneur
Member
2025 - 2026
Madboost's ai, freshwater fish disease, aquaculture disease detection and classification, fish detection and classification, contamination data
Member
2025 - 2027
Mysentidic2: from polarity to intensity - enhancing malay sentiment lexicons with detailed scoring
Leader
2024 - 2026
Predictive machine learning modelling of physical performance characteristics based on olympic badminton players historical data: a gender and discipline-specific analysis
Member
2024 - 2025
Factors influencing cryptocurrency adoption among individuals in malaysia
Member
2023 - 2026
Hybrid adaptive multi-objective differential evolution lévy flight and neural network for breast cancer disease detection
Leader
2022 - 2025
Publications listing
NOTE: PUBLICATION DATA FOR THE LAST 3 YEARS WILL BE DISPLAYED
No journal publications available.