Research groups

Computer Simulation in Engineering, CSE

CSE: Manufacturing System Engineering
Finite element method (FEM) and computational fluid dynamics (CFD) applied for aided manufacturing process

Advanced Engineering Materials, AEM

AEM: Conformal Coating and Corrosion Laboratory (CCC Lab)

Conformal coating of metal oxides for various applications, corrosion measurement and control

AEM: Thin film laboratory

Thin film semiconductor devices such as solar cells and thermoelectric module

AEM: Materials Research and Energy Harvesting Laboratory (MR&EH Lab)

Design or applied materials for manufacturing process and research on energy harvesting from environment.

Advanced Signal Processing for Data Storage, ADaS

ADaS research group, our research areas are new recording physics simulation model, the realistic writing/reading channel model, micromagnetic modeling, and also mainly focus on coding and signal processing as well.
We focus on 3 main issues
Coding Design
– Channel coding,
– Detector and Equalizer design, and
– Track Mis-registration Correction
Micromagnetic Modeling
– Bit Pattern Media Recording: BPMR
– Two-Dimensional Magnetic Recording: TDMR
– Heated Dot Magnetic Recording: HDMR
Recording Head Design
– Tunneling Magnetoresistive Heads
– Thermoelectric Spin-Transfer Torque MRAM

Business & Lean Industrial Solutions System, BLISS

Effective and innovative solutions for large enterprises and SMEs.

Collaborative research with industry partners, bringing students, researchers and innovators to complex real world.

Cost reduction, Quality improvement, Lean automation, Logistics &Supply chain management.

Business Intelligence tools and Big Data analytics for multi decision making.

Atomistic Material Design and Engineering Laboratory, AMDEL

Develop the algorithms or optimization functions of the vision system for applying with automatic process in the industry

Industrial Robot and AI Laboratory

We are working on deep learning (DL) algorithms, which can automatically learn features to avoid a lot of time-consuming engineering. These algorithms are basically based on building massive convolutional neural networks (CNN) that were inspired by human brain. This work resulted in a highly distributed neural network with over 100 million parameters trained on more than 10 thousand GPU cores that learned by itself to discover things you need. All aspects of the manufacturing process often require inspection and detection, often done by tons of persons with their eyes. By this means, it?s hard to have consistent results; consequently, our team is trying to solve this problem. As part of this work, our team (CiRA team) aims to provide AI technology to the masses of companies in our country such as Seagate Technology (Thailand) Limited, Charoen Pokphand Foods PCL, Thai Steel Cable Public Company Limited, etc. All projects were fully funded by The Thailand Research Fund (TRF), National Science and Technology Development Agency (NSTDA), and companies. We also provide AI solutions to our Collaboration such as SCG, and Index Living mall, etc.

Tribology and Optimum Design

To be the research leader in thermal elastohydrodynamic lubrication (TEHL), thermo-hydrodynamic lubrication (THL), friction control and wear of mechanical systems and components; plain bearings, helium filled hard disk drives, artificial human joints, power transmission systems.

Microelectronics and Sensors for Manufacturing

Microelectronics and Sensors for Manufacturing group works various electronics devices.

  • Electronics circuit design in various forms such as printed-circuit board or integrated circuit package are research focus in the group. The circuit types are focused on communication and sensor circuit. Antennas design is also included for optimum communication system.
  • Sensor design focuses on thin films with different electrical properties. Some research areas are organic field-effect transistors (OFETs), thin film polymer.