Centre for Data Science and Analytics

Big Data will change people's lifestyle in sustainable and affordable technology in the near future.

Prof. Dr. Khong Kok Wei

Co-Director
Professor Khong is currently the Head of School of the School of Marketing at Taylor's University. Previously he worked at The University of Nottingham....

Dr. Ibrahim Abaker Targio Hashem

Co-Director
Ibrahim Abaker Targio Hashem has been working on Big Data since 2013 and his article on Big Data becomes top most downloaded in 2014 Information System...

Prof. Dr. David Asirvatham

Executive Dean
Doctor of Philosophy in Information Technology, Masters of Science (Digital Systems), Post Gradudate Diploma in Computer Science,...

Assoc. Prof. Dr. Azween Abdullah, FBCS

Cluster Leader: Data Science and Cyber Security
Research Specialization: Graph Analytics and Visualization, IoT and Big Data Security, Machine Learning and Cyber Security, Secure Software Systems.

Dr. Chong Hui Ling

Cluster Leader: Islamic Fintech and Big Data



Dr. Mohsen Marjani

Cluster Leader: Data Science and Cyber Security
Mohsen Marjani studied at the Department of Computer System & Technology, University of Malaya. Mohsen does research in Big Data, Data Indexing, IoT....

Dr. Sophea Prum

Cluster Leader: AI and Pattern Recognition
Dr. Sophea Prum is a specialist on AI. Her research focuses on image/video processing, document image processing, handwriting recognition....

Prof. Dr. Patrice Francois Boursier

Head of School, School of Computing & IT
Ph.D Computer Science, University Pierre et Marie Curie (Paris 6), France M.Sc Computer Science, University Pierre et Marie Curie (Paris 6), France, ....

Dr. Thulasyammal Ramiah Pillai

Dr. Thulasyammal is a committed lecturer with over 20 years of experience at higher academic institutions and has taught students from various social and cultural backgrounds.

Dr. Kiu Ching Chieh

Programme Director – Information Technology
Doctor of Philosophy (Ph.D), Master of Information Technology (M.IT), Bachelor of Business Administration (BBA).

Prof. Dr. Christophe Schinckus

Head of School - School of Accounting & Finance
PhD doctorate degree in Economic Sciences, University of Paris, France, PhD Doctorate Degree in Philosophy of Science, University of Cambridge, UK.

Astt. Prof. Dr. Saeed Pahlevansharif

Doctor of Philosophy (Business), Taylor's University, Malaysia, Master of Business Administration, Multimedia university, Malaysia, Bachelor in Electrical Engineering, AmirKabir University of Technology.

Dr. Yvonne Ang Su Ming

PHD Business Economics (Marketing), Universiti Putra, Malaysia. Master Of Business Administration (Marketing), Universiti Putra, Malaysia.

About Us

C4DSA aims to provide a platform among researchers, scientists, and industries to share and discuss knowledge, ideas, and experience on Big Data at national and international level. We committed to advancing the skills and knowledge of Big Data in different disciplines, such as business, education, social science, medicine, biology, and physics. We give opportunity to the members to collaborate in research works and Big Data practices.

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C4DSA Events

C4DSA events on 2018:

Course Description

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment, discuss generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statis ...

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Course Description

The purpose of the workshop is to provide basic training in understanding the core techniques and concepts of Big Data and Hadoop ecosystem, set up and configure a single-node and pseudo-distributed Hadoop installation, work with Distributed File System (HDFS) and write MapReduce programs. Hadoop is a game changer for all those companies working with Big Data. It brings together large pools of dat ...

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Web Design / Jacky / 25 August 2017

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E-Commerce / John / 12 August 2017

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Current Research:

1. Profiling Using Social Network Analysis

2. Big Data Management

3. Travel Behaviour Using Big Data

No Grant Name Amount Duration Opportunities/Vacancies
1 Flagship RM323,000 36 months

Phd Students - 2

RA - 2

Publications

1. Habeeb, R. A. A., Nasaruddin, F., Gani, A., Ibrahim Abaker Targio Hashem., Ahmed, E., & Imran, M. (2019). Real-time big data processing for anomaly detection: A Survey. International Journal of Information Management, 45, 289-307. (SSCI (Q1), IF 4.51).
2. Yaqoob, I., Ibrahim Abaker Targio Hashem., Ahmed, A., Kazmi, S. A., & Hong, C. S. (2019). Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges. Future Generation Computer Systems, 92, 265-275. (SCIE (Q1), IF 4.63).
3. Firdaus, A., Ab Razak, M. F., Feizollah, A., Ibrahim Abaker Targio Hashem., Hazim, M., & Anuar, N. B. (2019). The rise of “blockchain”: bibliometric analysis of blockchain study. Scientometrics, 120(3), 1289-1331. (SCIE (Q2), IF 2.17).
4. Amalina, F., Ibrahim Abaker Targio Hashem., Azizul, Z. H., Fong, A. T., Firdaus, A., Imran, M., & Anuar, N. B. (2019). Blending Big Data Analytics: Review on Challenges and a Recent Study. IEEE Access. (SCIE (Q1), IF 3.55).
5. Ariyaluran Habeeb, R. A., Nasaruddin, F., Gani, A., Amanullah, M. A., Ibrahim Abaker Targio Hashem, I., Ahmed, E., & Imran, M. Clustering‐based real‐time anomaly detection—A breakthrough in big data technologies. Transactions on Emerging Telecommunications Technologies, e3647. (ISI (Q2), IF 1.258).
6. Chiroma, H., Abdullahi, U. A., AlArood, A. A., Gabralla, L. A., Rana, N., Shuib, L., Ibrahim Abaker Targio Hashem ... & Herawan, T. (2018). Progress on Artificial Neural Networks for Big Data Analytics: A Survey. IEEE Access. (SCIE (Q1), IF 3.55).
7. Fadele, A. A., Othman, M., Ibrahim Abaker Targio Hashem., Yaqoob, I., Imran, M., & Shoaib, M. (2018). A novel countermeasure technique for reactive jamming attack in internet of things. Multimedia Tools and Applications, 1-22. (SCIE (Q2), IF 1.54).
8. Ghani, N. A., Hamid, S., Ibrahim Abaker Targio Hashem., & Ahmed, E. (2018). Social media big data analytics: A survey. Computers in Human Behavior. ( SCIE (Q1), IF 3.435).
9. Firdaus, A., Anuar, N. B., Ab Razak, M. F., Ibrahim Abaker Targio Hashem., Bachok, S., & Sangaiah, A. K. (2018). Root exploit detection and features optimization: mobile device and blockchain based medical data management. Journal of medical systems, 42(6), 112. (SCI (Q1), IF: 2.415).
10. Elzein, N. M., Majid, M. A., Ibrahim Abaker Targio Hashem., Yaqoob, I., Alaba, F. A., & Imran, M. (2018). Managing big RDF data in clouds: Challenges, opportunities, and solutions. Sustainable Cities and Society, 39, 375-386. (SCIE (Q2), IF 3.07).
11. Zerdoumi, S., Sabri, A. Q. M., Kamsin, A., Ibrahim Abaker Targio Hashem., Gani, A., Hakak, S., ... & Chang, V. (2018). Image pattern recognition in big data: taxonomy and open challenges: survey. Multimedia Tools and Applications, 77(8), 10091-10121. (SCIE (Q2), IF 1.54).
12. Ibrahim Abaker Targio Hashem., Anuar, N. B., Marjani, M., Gani, A., Sangaiah, A. K., & Sakariyah, A. K. (2018). Multi-objective scheduling of MapReduce jobs in big data processing. Multimedia Tools and Applications, 77(8), 9979-9994. (SCIE (Q2), IF 1.54).
13. Ahmed, E., Yaqoob, I., Ibrahim Abaker Targio Hashem., Shuja, J., Imran, M., Guizani, N., & Bakhsh, S. T. (2018). Recent advances and challenges in mobile big data. IEEE Communications Magazine, 56(2), 102-108. (SCI (Q1), IF 9.27).
14. ur Rehman, M. H., Ahmed, E., Yaqoob, I., Ibrahim Abaker Targio Hashem., Imran, M., & Ahmad, S. (2018). Big data analytics in industrial IoT using a concentric computing model. IEEE Communications Magazine, 56(2), 37-43. (SCI (Q1), IF 9.27).
15. Ibrahim Abaker Targio Hashem., Anuar, N. B., Marjani, M., Ahmed, E., Chiroma, H., Firdaus, A., ... & Gani, A. (2018). MapReduce scheduling algorithms: a review. The Journal of Supercomputing, 1-31. (SCI (Q2), IF: 1.52).
16. Ahmed, E., Yaqoob, I., Ibrahim Abaker Targio Hashem., Khan, I., Ahmed, A. I. A., Imran, M., & Vasilakos, A. V. (2017). The role of big data analytics in Internet of Things. Computer Networks, 129, 459-471. (SCIE (Q1), IF 2.52).
17. Ahmed, E., Yaqoob, I., Ibrahim Abaker Targio Hashem., Shuja, J., Imran, M., Guizani, N., & Bakhsh, S. T. (2018). Recent advances and challenges in mobile big data. IEEE Communications Magazine, 56(2), 102-108. (SCI (Q1), IF 9.27).
18. Alotaibi, F., Abdullah, M. T., Abdullah, R. B. H., Rahmat, R. W. B. O., Ibrahim Abaker Targio Hashem., & Sangaiah, A. K. (2017). Optical character recognition for quranic image similarity matching. IEEE Access, 6, 554-562. (SCIE (Q1), IF 3.55).
19. Marjani, M., Nasaruddin, F., Gani, A., Karim, A., Ibrahim Abaker Targio Hashem., Siddiqa, A., & Yaqoob, I. (2017). Big IoT data analytics: architecture, opportunities, and open research challenges. IEEE Access, 5, 5247-5261. (SCIE (Q1), IF 3.55).
20. Yaqoob, I., Ibrahim Abaker Targio Hashem., Mehmood, Y., Gani, A., Mokhtar, S., & Guizani, S. (2017). Enabling communication technologies for smart cities. IEEE Communications Magazine, 55(1), 112-120. (SCI (Q1), IF 9.27).

Funding

  1. Integrated assessment of Traffic related air pollution, health impact, economy loss and years of life lost – Project Leader
  2. Learning Models for Big Data Analytics
  3. Deep Learning for Linked Open Data – Project Leader
  4. The classification of Arrhythmia in relation to the Malaysian Lifestyles

Research Labs

PhD Supervision

Raja Sher Afgun Usmani

Thesis Title

Predicitive Spatial Model for cardiovascular effects of outdoor air pollution

Research Area(s)

Big Spatial Data, Time Series, Data Mining, GIS & Data Science

Muhammad Bilal

Thesis Title

Profiling using social media analytics

Research Area(s)

Data Analytics, Machine Learning, Natural Language Processing, Social Computing, Software Engineering and Project Management

Nadia Mazlan

Thesis Title

A Study on the Perceptions and Motivations for Healthy Eating using Big Data Analytics

Research Area(s)

Big Data Analytics, Marketing Analytics, Data Mining, Business Intelligence, Social Media studies

Muhammad Tayyab

Thesis Title

Secure Model for Deep Learning Algorithms using Cryptographic Approach

Research Area(s)

Machine Learning, Cryptography, Cloud Computing

Aman Sharma

Thesis Title

Travel Behavior Modeling for Urban Traffic Congestion

Research Area(s)

Big Data, Machine Learning, Travel Behavior Modeling and IT Management.

Akibu Mahmoud Abdullahi

Thesis Title

A Predictive model for traffic emissions

Research Area(s)

Data Science, Learning Analytics, Educational Data Mining and Big Data Analytics

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