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)

Machine Learning, Multimodal AI, Operations Related Data Analytics, Emotion-Enriched Sentiment Analysis

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

Machine Learning (Supervised, Unsupervised Learning Algorithms), Data Analytics (Predictive, Streaming Analytics)

Associate Prof. Ts. Dr. Mohd Hilmi Hasan
(CIS Department Chair)

Generative Models, Fuzzy Type 2, QoS Compliance Monitoring

Associate Prof. Ts. Dr. M Fadzil Hassan (DVC Research, Innovation & Commercialisation)

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

Machine Learning , Data Analytics, Large Language Model (LLM), Data Quality using Deep Learning, Data Pre-processing

Ts. Dr. Aliza Sarlan (Dean CFS)

Hybrid Sentiment Model, QoS Measurement Metrics, Software Simulation, Associative Rule Mining

Ts. Dr. Nurul Aida Osman

Knowledge engineering, sentiment analysis, machine learning, recommender system, data analytics

Ms. Nazleeni Samiha Haron

Data analytics, Machine learning, Predictive Analytics, Intelligent Data Visualization, Generative AI Models, Cloud-based Machine learning Applications.

Assoc. Prof. Ts Dr Hitham Seddig Alhassan Alhussian

Concept Drift, Adaptive Model, Real Time Predictive Modelling

Dr. Noureen Talpur

Artificial Intelligence, Machine Learning, Neural Networks, Deep learning, Fuzzy logic

Dr Nur Syadhila Che Lah

Researcher, Center for Research in Data Science, Software Development, Information Retrieval, Operational Analytic

Ts Dr Yew Kwang Hooi

Large Language Model, Large Quantitative Model, Natural Language Processing, Symbol Spotting, Data Analytics, Ontology Engineering, Software Engineering

Assoc. Prof. Ts Dr. Mohd Anuaruddin Ahmadon

Research in Data Science, engineering, IoT, data science

Dr. Ahmad Bukhari Aujih

Machine Learning, Big Data Analytics, Electromechanical Intelligence, Reliability Engineering Photo: as attached below

Team Members

Hajar Mohamad Razip

Data Scientist

Mohamad Bin Kamal

System Developer

Touhid Mohammad Hossain

Research Scientist

Muhammad Hamza Azam

Research Scientist

Nur Syakirah Mohd Jaafar

Senior Technical Admin

Marym Mohamad Razip

Senior Technical Admin

Kamariah Abu Saed

Junior Technical Admin

Fatin Nurhana Jumisdar

Corporate Secretarial, Administrative

Thivnesh Kumar AL Venugopal

UI/UX Developer

Dr Irving Vitra Paputungan

Post Doctoral Researcher

Nor Farisha M Krishnan

Research Scientist

Noor Anisah Rahim

Research Officer / Admin

Farahida Hanim Mausor

Research Scientist

Rusnajiha Ruslin

Special Services

Mazlan Yaakob

Research Scientist

Nadiah Abdul Rahman

Research Officer