Staff Directory


Nurul Fariza Binti Zulkurnain

Academic Qualification

  • Phd in Computer Science - Doctor of Philosophy, University of Manchester
  • Msc in System Engineering with Information Technology Applications - Masters Degree, Cardiff University
  • Bachelor of Engineering (Computer and Information) - Bachelor Degree, International Islamic University Malaysia

Nurul Fariza Binti Zulkurnain (Assoc. Prof. Dr.)

Associate Professor
IIUM Gombak Campus

KULLIYYAH OF ENGINEERING

nurulfariza@iium.edu.my
6506


Expert Profile


Data Mining, Big Data and IoT


Area of Specialisation


  • ICT ~ Information, Computer And Communications Technology (ICT) ~ Database Technology ~ Data Mining - Data Mining -Big Data


Professional Membership


  • 2017: Member of Profesional Body / Association: (Member), Instituition of Engineers Malaysia (IEM)
  • 2018 - 2019: Member of Profesional Body / Association: (Member), Institute of Electrical and Electronics Engineers (IEEE)


Teaching Responsibilities


C0MPUTING SYSTEMS & PROGRAMMING 2005/2006
COMPUTER AND INFORMATION ENG. LABII 2018/2019
COMPUTER AND INFORMATION ENGINEERING LAB I 2022/2023 2021/2022
COMPUTER INFORMATION ENGINEERING LAB II 2018/2019
COMPUTING SYSTEMS & PROGRAMMING 2006/2007
DATA MINING 2022/2023 2021/2022
DATA STRUCTURE AND ALGORITHM DESIGN 2021/2022
DATA STRUCTURE AND PROGRAMMING 2022/2023 2021/2022
DATABASE SYSTEMS 2022/2023 2019/2020
ENGINEERING LAB I 2006/2007
ENGINEERING LAB II 2006/2007
FINAL YEAR PROJECT 1 2019/2020
FINAL YEAR PROJECT I 2020/2021 2019/2020 2018/2019
FINAL YEAR PROJECT II 2022/2023 2021/2022 2018/2019
INTEGRATED DESIGN PROJECT 2017/2018 2016/2017 2015/2016 2014/2015 2013/2014
MICROPROCESSORS AND INTERFACING 2013/2014
OBJECT ORIENTED PROGRAMMING 2006/2007
OBJECT ORIENTED PROGRAMMING FOR ENGINEERS 2006/2007
OBJECT ORIENTED PROGRAMMING WITH JAVA 2019/2020 2018/2019
OPERATING SYSTEMS 2016/2017 2015/2016 2014/2015 2013/2014 2012/2013
PROGRAMMING FOR ENGINEERS 2017/2018 2016/2017 2015/2016 2014/2015 2013/2014 2012/2013
SELECTED TOPICS IN COMPUTER AND INFORMATION ENGINEERING 2018/2019
SELECTED TOPICS IN COMPUTER TECHNOLOGY 2018/2019 2017/2018 2016/2017 2015/2016
SEMINAR 2005/2006
SOFTWARE ENGINEERING 2018/2019
SOFTWARE ENGINEERING DESIGN 2018/2019


Research Projects


Completed
2016 - 2019 Investigation of Novel Algorithm using Features of Respiratory Sounds Abnormalities for Detection of Lung Cancer
2015 - 2018 An Efficient Algorithm on Lossless Audio Compression using Optimized Linear Predictor and Entropy Coding for Multichannel Quranic Audio Recitation
2014 - 2019 An Efficient Algorithm to Discover Large and Frequent Itemset in High Dimensional Data
2013 - 2016 Discovering Colossal Closed Itemsets from High Dimensional Datasets
On-Going
2022 - Present LoRaWAN Radio Propagation for tributary remote monitoring in tropical weather conditions
2013 - Present Disaster Rescue and Management for Radiation Related Disaster Strategic Initiative for Muslim Nations


Publications


Article

2022 A spark-based parallel fuzzy C median algorithm for web log big data. International Journal on “Technical and Physical Problems of Engineering” (IJTPE), 14 (3) pp. 212-220
2022 An efficient parallel clustering algorithm on big data using Spark. Journal of East China University of Science and Technology, 65 (2) pp. 535-547
2021 An efficient fuzzy C-least median clustering algorithm. IOP Conference Series: Materials Science and Engineering, 1070 () pp. 1-11
2021 An efficient fuzzy clustering algorithm for mining user session clusters on web log data. International Journal of Informatics, Information System and Computer Engineering, 2 (2) pp. 80-93
2019 Improved BVBUC algorithm to discover closed itemsets in long biological datasets. Applied Mechanics and Materials, 892 () pp. 157-167
2018 On the review and setup of security audit using Kali Linux. Indonesian Journal of Electrical Engineering and Computer Science, 11 (1) pp. 51-59
2018 RARE: mining colossal closed itemset in high dimensional data. Knowledge-Based Systems, 161 () pp. 1-11
2017 The distribution of path loss exponent in 3D indoor environment. International Journal of Applied Engineering Research, 12 (18) pp. 7154-7161
2017 Towards scalable algorithm for closed itemset mining in high-dimensional data. Indonesian Journal of Electrical Engineering and Computer Science, 8 (2) pp. 487-494
Conference or Workshop Item

2021 A survey on parallel clustering technique for big data framework. In: 2nd Global Conference on Artificial Intelligence and Applications (GCAIA 2021),
2019 Frequent itemset mining in high dimensional data: a review. In: 5th International Conference on Computational Science and Technology (ICCST 2018),
2018 Analysis of THUG: a low-interaction client honeypot to identify malicious websites and malwares. In: 2018 7th International Conference on Computer and Communication Engineering (ICCCE),
2018 HYBRID: an efficient unifying process to mine frequent itemsets. In: 2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS),
2017 JIR2TA: Joint Invocation of Resource-Based Thresholding and Trust-Oriented Authentication in mobile adhoc network. In: SAI Intelligent Systems Conference (IntelliSys) 2016,
2017 STCM: Secured trust-based communication method in vulnerable mobile adhoc network. In: The 9th International Conference on Robotic, Vision, Signal Processing and Power Applications (RoViSP 2016),
2016 STCM: secured trust-based communication method in vulnerable mobile adhoc network. In: 9th International Conference on Robotic, Vision, Signal Processing and Power Applications, RoViSP 2016,
2015 SSM: Secure-Split-Merge data distribution in cloud infrastructure. In: 2015 IEEE Conference on Open Systems (ICOS),
Book Section

2021 Identification of interested web users using decision tree classifier. In: Springer Nature Singapore, ISBN: 978-981-15-9018-4, pp. 143-156
2013 DisClose: Discovering colossal closed itemsets via a memory efficient compact row-tree. In: Springer Berlin Heidelberg, ISBN: 978-3-642-36777-9, pp. 141-156
Monograph

2019 An efficient algorithm to discover large and frequent itemset in high dimensional data. In: ,