About Us
We Have One objective
To share UTP-CeRDaS Strength and Capability towards Big Data Analytics Research.
The Centre for Research in Data Science CeRDaS aspires to share UTP strength and Capability towards Big Data Analytics Research. CeRDaS focuses on three main project pillars which include Solution Data Driven, Ecosystem Infrastructure, and Human Development. These pillars aimed to support digital drive of big data ecosystem readiness in clients, to develop own customize AI solution that meets domain needs based on pain points of business, and to make a ready platform for talent development by combining technology know how together with data knowledge expertise.
Our Vision
- To conduct cutting-edge research and develop data scientist to deliver innovative solutions for industries and society.
- To become the leading data science solution provider to industries and society through innovative research and consultancy.
Our Mission
- To focus on data science research and education.
- To develop data science leaders of tomorrow.
- To deliver innovative data science technologies and solutions.
- To collaborate with industry leaders specializing in the oil and gas industries.
Niche Area
- Data Science environment that combines domain expertise, analytics programming, capable human development as well as statistical analysis to extract meaningful insights from data.
- A descriptive, diagnostic, predictive, prognostic and prescriptive Big Data Analytics such as corrosion rate prediction, remaining useful life prediction as well as data quality and understanding.
- Application of Machine Learning through supervised, unsupervised and reinforced machine learning customization algorithms according to client pain points such as sentiment analysis and artificial intelligence (AI) modelling.
Dr. Shuhaida M Shuhidan
(Head CeRDaS)
Social Data Science and Operations-Related Data Analytics
Dr. Shakirah M Taib
(Deputy Head CeRDaS)
Symbolic Time Series Representation, Time series Pattern Analysis , Data Mining and Knowledge Discovery, Information Retrieval
Associate Prof. Dr. Izzatdin Abdul Aziz
(Director EDiT)
Inferencing Models, Predictive Algorithms, Real Time Equipment Monitoring and AI Based Decision Support Systems
Associate Prof. Ts. Dr. Said Jadid Abdulkadir
(Research International)
Machine Learning (Supervised, Unsupervised Learning Algorithms), Data Analytics (Predictive, Streaming Analytics)
Associate Prof. Ts. Dr. Mohd Hilmi Hasan
(Chair CIS)
Generative Models, Fuzzy Type 2, QoS Compliance Monitoring
Associate Prof. Ts. Dr. M Fadzil Hassan
(DVCRI)
Intelligent Agent, Autonomous Concurrent Negotiation Methods
Associate Prof. Ts. Dr. Jafreezal Jaafar
(Dean FSIT)
Artificial Intelligence, Cognitive Computing, Data Mining and Machine Learning
Ts. Dr. Emelia Akashah Patah Akhir
(Research International)
Information Architecture, Business Alignment, Data Quality
Ts. Dr. Aliza Sarlan
(Dean CFS)
Hybrid Sentiment Model, QoS Measurement Metrics, Software Simulation, Associative Rule Mining
Ts. Dr. Nurul Aida Osman (Training)
Semantic Web, Linked Data, Web 2.0, Web Intelligence, Knowledge Representation
Ms. Nazleeni Samiha Haron
(Data Custodian)
Context-Aware Systems, Scheduling Algorithms, Agent Based Priority Heuristics
Assoc. Prof. Ts Dr Hitham Seddiq Alhassan Alhussian
(Publication)
Concept Drift, Adaptive Model, Real Time Predictive Modelling
Dr. Noureen Talpur (Publication)
Artificial Intelligence, Machine Learning, Neural Networks, Deep learning, Fuzzy logic
Dr Nur Syadhila Che Lah
(Research Local)
Persuasive Technology, Database Systems, Prescriptive Analytics
Ts Dr Yew Kwang Hooi (Research Local)
Software Engineering & HCISoftware & Cloud System, Architecture Database and Ontology Engineering, Virtual Reality and Augmented Reality
Team Members
Hajar Mohamad Razip
Data Scientist
Mohamad Bin Kamal
System Developer
Irene Chee Mei Ling
Data Engineer
Kamariah Abu Saed
Junior Technical Admin
Nur Syakirah Mohd Jaafar
Senior Technical Admin
Marym Mohamad Razip
Senior Technical Admin
Thivnesh Kumar AL Venugopal
UI/UX Developer
Fatin Nurhana Jumisdar
Corporate Secretarial, Administrative