Intelligence Dynamics and System (IDS)

 iKohza Name:Intelligence Dynamics and System (IDS)
 Leader's Name and Title: Lee Kee Quen (Assoc. Prof. Ir. Dr.)
 Deputy Leader: Mohamad Fadzli bin Haniff (Ts. Dr.)
 Main Contact Email: lkquen@utm.my
 Location/Office: 04.01.01, MJIIT Building

 Main Research Themes/Keywords :

• Main Research Themes/Keywords (5–10 keywords): Vibration and Noise Control, System Dynamics, Fluid–Structure Interaction, Vortex-Induced Vibration, Machine Learning

 Description of Research Focus Areas :

The Intelligence Dynamics and System (IDS) iKohza focuses on engineering solutions in vibration, noise, and dynamic systems through fundamental mechanics. The group’s research addresses engineering problems where dynamic interactions between structures, fluids, and operational environments govern system performance, safety, and reliability.

Core research areas include vibration and noise analysis and control, acoustic and sound quality engineering, and fluid–structure interaction phenomena such as vortex-induced vibration in offshore and mechanical systems. IDS places strong emphasis on experimental investigations, supported by advanced acoustic and vibration measurement facilities, to understand dynamic behavior and validate theoretical and numerical models. In parallel, the group actively explores machine learning and artificial intelligence techniques for system identification, fault diagnosis, condition monitoring, and predictive modeling of dynamic systems.

Applications of IDS research span vehicle safety engineering, offshore and marine structures, sustainable acoustic materials, and environmental monitoring. Through interdisciplinary approaches combining system dynamics, mechanics-based modeling, experimental diagnostics, and intelligent algorithms. The group’s work contributes to improved safety standards, enhanced system efficiency, and innovative noise and vibration mitigation strategies relevant to both industrial and societal needs.

 Key Equipment/Technology Available :

Anechoic Chamber - provides a controlled, reflection-free environment for precise acoustic and noise measurements.

Impedance Tube - measure the sound absorption coefficient and sound transmission loss of materials under controlled laboratory conditions.

Slip Shaker - excite structures with controlled vibrational input for modal testing and dynamic response analysis.

Vibration Analyzer - acquire and analyze vibration signals for condition monitoring, fault diagnosis, and dynamic system assessment.

Scan & Paint and Sound Brush Systems - advanced acoustic visualization tools used to identify and map noise sources on structures and machinery surfaces.

 List of Ongoing/Recent Projects or Grants :

Analyzing the Impact of Different Axial Slats Configurations on Vortex-Induced Vibration of Single and Multiple Risers using Machine Learning (UTMFR)

Studying the effectiveness of vortex-induced vibration in disrupting the cell wall of microalgae for oil extraction (FRGS)

Design and Fabrication of Depth Trawl System for Floating Marine Plastic Debris Monitoring at Klang River (International Grant - The Ocean Clean Up)

The Impact of Courtyard Configuration on Outdoor Thermal Comfort of School Courtyards in Hot and Humid Climate (UTMER)

Floating Plastic Debris Monitoring in Marine Area and its Implication of Ocean Cleanup Technologies at Langat River (International Grant - The Ocean Clean Up)

 Selected Publications :

NIM Sukarnoor, LK Quen, A Abu, KH Siang, N Kuwano, SM Desa (2025), An investigation of the dynamic behaviour of two rigid cylinders in a tandem arrangement under vortex-induced vibration, Journal of Ocean Engineering and Science 10 (2), 246-257

RX Yong, LK Quen, LK Tan, XC Yak, HS Kang, KY Wong (2025), Experimental investigation on the suppression of vortex-induced vibration of a rigid cylinder using axial slats, Ocean Engineering 338, 121934

NF Waziralilah, A Abu, MH Lim, LK Quen, MSRM Saufi (2025), SiamSpecNet: One-Shot Bearing Fault Diagnosis Using Siamese Networks and Gabor Spectrograms, IEEE Access

SA Imam, MH Lim, AM Abdelrhman, I Ahmad, MS Leong (2025), Enhanced Blade Fault Diagnosis Using Hybrid Deep Learning: A Comparative Analysis of Traditional Machine Learning and 1D Convolutional Transformer Architecture, Engineering Reports 7 (5), e70202

Mohammad Arafat, Izuan Amin Ishak & Nurshafinaz Mohd Maruai (2024), Numerical Analysis of Sudden Wind Load Impact on Aerodynamic Performance in Next-Generation High-Speed Trains, Iranian Journal of Science and Technology, Transactions of Mechanical Engineering, 49, pages 517–532

 Patents :

Flexible Shroud for the suppression of vortex-induced vibration (IP/PT/01804)

 Current National and International Collaborations:

 Academic Staff (Name, Position, Area of Expertise):

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