ACAE Seminar

Title: Design Synthesis of MEMS
Speaker: Dr. Raffi Kamalian
Faculty of Design
Kyushu University, Japan
Date: May 30, 2006 Tuesday
Time: 2:00 p.m. - 3:00 p.m.
Venue: Room 215, William M. W. Mong Engineering Building, CUHK

Abstract
Micro Electromechanical Systems (MEMS), also known as Micromachines are a burgeoning technology that already has many applications across many industries. MEMS-based inertial measurement sensors, such as accelerometers and gyroscopes have already found their way into dozens of engineering systems and products, from aerospace to robots to automotive to consumer electronics. Despite great advances in MEMS fabrication technology over the past two decades, the development of MEMS design tools is still very limited. These complex systems contain dozens of design variables and multiple competing performance objectives. The use of advanced optimization and synthesis algorithms can assist MEMS engineers to design better MEMS devices than can be achieved through manual design or simple traditional optimization approaches. Furthermore by using utilizing MEMS simulation tools in the design process, costly iterative fabrication can be minimized and new designs can be brought to market faster and cheaper. In this respect, these types of tools are critical for the further commercialization of MEMS. This talk will outline my work in the development of CAD tools for MEMS design. Using stochastic optimization techniques such as Genetic Algorithms and Simulated Annealing, we have demonstrated the ability to automatically synthesize MEMS sensor designs that meet a set of desired performance goals and constraints.

Biography
Dr. Raffi Kamalian is a researcher in the Faculty of Design at Kyushu University in Western Japan. He holds a Postdoctoral Fellowship for Foreign Researchers hosted by the Japanese Society for the Promotion of Science. He has a Doctorate Degree from the University of California Berkeley in Mechanical Engineering with an emphasis in Machine Design and MEMS (Micro Electromechanical Systems). As a researcher in the Berkeley Expert Systems Lab under Professor Alice Agogino, his thesis research focused on the application of evolutionary synthesis algorithms such as Multiobjective Genetic Algorithms, Simulated Annealing and Human Interactive Evolutionary Computation to the design of MEMS sensors.

***** ALL ARE WELCOME *****

Enquiries: Ms. Winnie Wong or Prof. Charlie Wang Chang-ling, Department of Automation and Computer-Aided Engineering, CUHK at 2609 8337. *ACAE Series (2005-06) is contained in the World-Wide Web home page at http://www.acae.cuhk.edu.hk/en/seminars/seminars.htm

Title:	Design Synthesis of MEMS
Speaker:	Dr. Raffi Kamalian Faculty of Design Kyushu University, Japan
Date:	May 30, 2006 Tuesday
Time:	2:00 p.m. - 3:00 p.m.
Venue:	Room 215, William M. W. Mong Engineering Building, CUHK
Abstract Micro Electromechanical Systems (MEMS), also known as Micromachines are a burgeoning technology that already has many applications across many industries. MEMS-based inertial measurement sensors, such as accelerometers and gyroscopes have already found their way into dozens of engineering systems and products, from aerospace to robots to automotive to consumer electronics. Despite great advances in MEMS fabrication technology over the past two decades, the development of MEMS design tools is still very limited. These complex systems contain dozens of design variables and multiple competing performance objectives. The use of advanced optimization and synthesis algorithms can assist MEMS engineers to design better MEMS devices than can be achieved through manual design or simple traditional optimization approaches. Furthermore by using utilizing MEMS simulation tools in the design process, costly iterative fabrication can be minimized and new designs can be brought to market faster and cheaper. In this respect, these types of tools are critical for the further commercialization of MEMS. This talk will outline my work in the development of CAD tools for MEMS design. Using stochastic optimization techniques such as Genetic Algorithms and Simulated Annealing, we have demonstrated the ability to automatically synthesize MEMS sensor designs that meet a set of desired performance goals and constraints.
Biography Dr. Raffi Kamalian is a researcher in the Faculty of Design at Kyushu University in Western Japan. He holds a Postdoctoral Fellowship for Foreign Researchers hosted by the Japanese Society for the Promotion of Science. He has a Doctorate Degree from the University of California Berkeley in Mechanical Engineering with an emphasis in Machine Design and MEMS (Micro Electromechanical Systems). As a researcher in the Berkeley Expert Systems Lab under Professor Alice Agogino, his thesis research focused on the application of evolutionary synthesis algorithms such as Multiobjective Genetic Algorithms, Simulated Annealing and Human Interactive Evolutionary Computation to the design of MEMS sensors.
*** ALL ARE WELCOME ***
Enquiries: Ms. Winnie Wong or Prof. Charlie Wang Chang-ling, Department of Automation and Computer-Aided Engineering, CUHK at 2609 8337. *ACAE Series (2005-06) is contained in the World-Wide Web home page at http://www.acae.cuhk.edu.hk/en/seminars/seminars.htm