Sustainable Construction and Disaster Management Research Group, SCDM

Head of research group: Asst.Prof.Dr. Pulpong Pongvithayapanu

Nowadays, the innovation in construction materials as well as civil engineering design rapidly improves and develops to resist and withstand both conventional load (live load and dead load) and disaster for example, earthquake, flood and storm. Moreover, an engineering design must also be conformed to the public regulation for environmental safety and public health. Therefore, to mitigate and alleviate those damages which might be occurred to the human and societies, the new design concept and novel researches in civil engineering must be developed and implemented to help advancing new technologies in materials construction and building structures. The objectives of this research group are as follows;

1. To conduct a research relating to civil engineering to mitigate the damage from natural disaster such as earthquake, flood and storm.
2. To conduct a research relating to water management system
3. To conduct a research relating to green building system and novel construction materials which are environment-friendly

Robotics and Advanced Autonomous Systems Research Group , RAAS

Head of research group: Dr.Kittipong  Yaovaja

Machinery, Robots, and Autonomous Systems have been essential tools for reducing cost of production and enhancing product quality in most manufacturing industries as well as facilitating and enhancing living standards. Robotics and Advanced Autonomous Systems (RAAS) Research Group was supported and funded by the Faculty of Engineering at Sriracha, Kasetsart University, Sriracha Campus. RAAS research group was founded to raise the potential of Thailand.

The roles of the RAAS are research and development (R&D), creating innovation, and creating key personnel while our group supports community, private section, and government section. The RAAS research group is a multidisciplinary group which comprises of researchers and experts in various fields of engineering. Our research area and expertise are the following.

–  Automation design and integration

Design, program, and implementation of SCADA and automation integration by using industrial robots such as ABB and KUKA robots, NI LabVIEW measurement and control software, and industrial automation and drives from Siemens, Allen Bradley, Mitsubishi, Omron, Sanyo Denki and others.

–  Robotics and machine design

Design, built, and control a variety of robot and machinery using CAD/CAM software; such as a 6-axis articulated robot, a Hexapod robot, a Delta robot, an AGV, a flexible-joint robot, a 7-DOF multi-function robot on a crane, a farm robot, a drone, and others.

–  Advanced control system design

Design, program, and implementation advanced control such as optimal control, fuzzy control, multivariable feedback control, nonlinear control.

–  Embedded system design

Design and install semi-commercial automotive ECU units. Design and implementation LabVIEW real-time/ FPGA systems, design ROS system and embedded system such as on Raspberry PI and microcontrollers.

–  Artificial intelligence system

Design, program, and implementation of interactive intelligence system using vision, depth and thermal sensors. Design artificial intelligence for industry or control systems such as using fuzzy learning system, machine learning, Deep learning, and others.

–  Optimization and analysis

Analyze engineering system based on mathematical equations, and find the proper solutions based on advanced optimization methods.

The Innovation in Infrastructure and Construction Management Research Group , IICM

Head of research group Dr.Daraporn  Phusing

Objectives of the research group are

1. To study the development of database management system to enhance the design efficiency of the cconstruction and management of infrastructure and transportation system.
2. To study the application of Intelligent Transportation System technology for automatic monitoring and data storage to optimize the management and monitoring of operations as well as increase the safety of the transportation system.
3. To study the application of geographic information system in survey, design, construction management and manage the infrastructure and transport system.
4. To study the development of information technology system to enhance the design, construction management and management of infrastructure and transport system.
5. To study engineering economics in the design, management, construction and management of infrastructure and transport systems.
6. To study the Artificial Intelligent for Smart cities
7. To study the development of automation systems in civil engineering to enhance the efficiency in the construction of infrastructure and transport systems.
8. To study the response behavior of road structure. This is due to the force of the truck’s weight and external factors. Performance data and Highway Performance under conditions of use. Conditions and context of Thailand
9. To study the development of green building and infrastructure (Green Building and Infrastructure)
10. To study the strengthening of small and medium truck operators.

Mechanical Systems and Signal Processing Research Group, MESSI

Head of research group, Asst.Prof.Dr. Suphattharachai Chomphan

MEchanical Systems and SIgnal processing (MESSI) is an interdisciplinary research group of Faculty of Engineering at Sriracha of Kasetsart University, in Mechanical, Electrical, Computer, and Civil Engineering with the purpose of doing research for scientific advancements of the highest quality arising from new techniques in sensing, instrumentation, signal processing, modelling and control of dynamic systems.

The former dominant works of MESSI is analyzing of the mechanical vibrations and sound signals of personal cars, motorcycles. Some specific engines; a diesel engine with Hydrogen-diesel dual fuel, LPG and NGV modified engines, are studied by some signal processing techniques for their sounds and vibrations. The engine fault analysis is also focused by using some pattern recognition techniques.