- Assoc. Prof. Ts. Dr. Mohd Nizam Bin Husen
- Dean / Head of Campus Universiti Kuala Lumpur Malaysian Institute of Information Technology (UniKL MIIT)
- mnizam@unikl.edu.my
Dr. Mohd Nizam Husen is the Dean / Head of Campus, Universiti Kuala Lumpur Malaysian Institute of Information Technology (UniKL MIIT) and an Associate Professor in Cybersecurity and Technological Convergence Section at Universiti Kuala Lumpur Malaysian Institute of Information Technology (UniKL MIIT). He received his Ph.D. in Computer Engineering from Sungkyunkwan University, South Korea. Prior to that, he received his B.Sc. degree in Computing from University of Portsmouth, United Kingdom, in 1997 and the M.Sc. degree in Information Technology from Universiti Utara Malaysia, Malaysia, in 2007.
Dr. Mohd Nizam Husen is an experienced researcher in computer science/computer engineering field. His research interests include intelligent systems, indoor localization, pattern recognition, artificial intelligence, and visual attention. He is the author of more than 40 research articles in various high impact journals and international conferences. He is a certified Professional Technologist (Ts.) from Malaysia Board of Technologist (MBOT) and also a panel of MBOT. He is also actively involved as a Reviewer of renown ISI and Scopus journals such as the IEEE Communications Letters, Springer Mobile Networks and Applications, Journal of Pattern Recognition Research, Journal of Location Based Services and International Journal of Business Intelligence and Data Mining.
View my ORCID | Scopus | ResearchGate
RESEARCH AREA
- Intelligent systems
- Indoor localization
- Pattern recognition
- Sensor-based detection and prediction
- Intelligent transportation systems
TEACHING INTERESTS
TRAINING, CERTIFICATE & AWARD
- Journal
- Proceedings
- Others
SELECTED PUBLICATIONS
- 1. Md Shofiqul Islam, Sunjida Sultana, Fahmid Al Farid, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Noramiza Hashim, Mohd Nizam Husen. Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification. Sensors, 2022, 22(16), 6079. Q1 Web of Science and Scopus.
- 2. Wang Xiaolan, Md Manjur Ahmed, Mohd Nizam Husen, Zhao Qian, Samir Brahim Belhaouari. Evolving Anomaly Detection for Network Streaming Data. Information Sciences, 2022, 608, pp. 757– 777. Q2 Scopus
- 3. Fahmid Al Farid, Noramiza Hashim, Junaidi Abdullah, Md Roman Bhuiyan, Wan Noor Shahida Mohd Isa, Jia Uddin, Mohammad Ahsanul Haque, Mohd Nizam Husen. A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System. Journal of Imaging, 2022, 8(6), 153. Q2 Scopus.
- 4. Md Roman Bhuiyan, Junaidi Abdullah, Noramiza Hashim, Fahmid Al Farid, Mohammad Ahsanul Haque, Jia Uddin, Wan Noorshahida Mohd Isa, Mohd Nizam Husen, Norra Abdullah. A Deep Crowd Density Classification Model for Hajj Pilgrimage Using Fully Convolutional Neural Network. PeerJ Computer Science, 2022, 8, e895. Q2 Scopus.
- 5. Talha Bin Sarwar, Noorhuzaimi Mohd Noor, M. Saef Ullah Miah, Mamunur Rashid, Fahmid Al Farid, and Mohd Nizam Husen. Recommending Research Articles: A Multi-Level Chronological Learning-Based Approach Using Unsupervised Keyphrase Extraction and Lexical Similarity Calculation. IEEE Access, Digital Object Identifier 10.1109/ACCESS.2021.3131470. Volume 9, 2021, pp. 160797-160811 (2021). Q1 Web of Science and Scopus.
