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FACULTY OF ELECTRICAL &
ELECTRONICS ENGINEERING

 

Research Interest:

E-Nose

  • Development Of Dedicated E-Nose For Various Field And Application (Controller, Selection Of Siginificant Sensors, Mechanical Design Related To E-Nose).
  • Related Application & Field: Food Security, Environtment, Agriculture, Automotive

 Intelligent Signal Processing

  • Statistical Analysis Using Various Method, Pattern Recognition, Feature Selection, Feature Extraction

Classification

  • Artificial Neural Network, K-Nearest Neighbor, Case-Based Reasoning

National Research Grant:

  • Leader, Rdu130606 (Rm32,000), “Intelligent Classification System Using Case-Based Reasaning Technique To Technique To Detect Ammonia Gas Using K-Nn And Ann As Retrieval Method Based On E-Nose Sensor Centroid Feature Extraction Approach”, 2013 – 2015

Ump Research Grant:

  • Leader, Uic160904 (Rm116,000), “A Method Of Determining Grade Of Agarwood At Ambient Temperature”, 2016 – Current
  • Leader, Uic160301 (Rm116,000), “A Commercialized Prototype Unit Based On Odor Detection Using Cbr Intelligent Technique”, 2016 – Current
  • Leader, Prgs160380 (Rm3,000), “Intelligent Odor Profile Classification Of Different Honey Using E-Nose”, 2016 – 2018
  • Leader, Prgs160380 (Rm3,000), “Intelligent Odor Profile Classification Of Different Honey Using E-Nose”, 2016 – 2018
  • Leader, Rdu150374 (Rm32,000), “A Prototype Of Intelligent System Using Chemical Sensor Array For Engine Lubricating Oil Classification”, 2016 – 2018
  • Leader, Rdu150374 (Rm32,000), “A Prototype Of Intelligent System Using Chemical Sensor Array For Engine Lubricating Oil Classification”, 2016 – 2018
  • Leader, Rdu130370 (Rm32,000), “Development Of An Intelligent System For Agarwood Detection Using Case-Based Reasoning Technique”, 2013 – 2016
  • Leader, Rdu130370 (Rm32,000), Development Of An Intelligent System For Agarwood Detection Using Case-Based Reasoning”, 2013 – 2014