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Dr. Tao Gong
Dr. Subramaniam Ganesan









Prof. Tao Gong
College of Information S. & T., Donghua University, China
Engineering Research Center of Digitized Textile & Fashion Technology, Ministry of Education, Donghua University, China
Department of Computer Science, Purdue University, USA

Immunity and Security of Embedded System Network

To increase security of embedded systems and their network, the Linux cores of the embedded systems should be immunized against viruses, attacks and software faults. The immunity of biological immune system includes the innate immunity and the adaptive immunity. Inspired from nature, the innate immunity of the Linux core is based on the self database, the normal model, the initial nonself database, the self/nonself detection mechanism and the recognition mechanism of known nonselfs. The adaptive immunity of the Linux core is based on the immune learning, which can be integrated with neural learning and learning from examples. The immune embedded systems can construct an immune network, which can show more powerful security than traditional networks. ARM-based experiments of the embedded systems and NS-based simulation of the network show that the immunity is effective and important for strengthen the security of the embedded system network.

About Dr. Tao Gong
Prof. Tao Gong received the MS degree in Pattern Recognition and Intelligent Systems and PhD degree in Computer Science from the Central South University respectively in 2003 and 2007.He is an associate professor of computer sciences at Donghua University, China, and he was a visiting scholar at Department of Computer Science and CERIAS, Purdue University, USA. He is the General Editors-in-Chief of the first leading journal Immune Computation in its field, and an editorial board member of some international journals such as Journal of Computers in Mathematics and Science Teaching, International Journal of Security and Its Applications, and International Journal of Multimedia and Ubiquitous Engineering. He is a Technical Committee Chair of ISEEIP 2012, and a Publicity Chair of ISA 2012. He is also a program committee member of some international conferences such as IEEE ICNC 2011, IEEE BMEI 2011, WMSE 2011, ICARIS 2012, AITS 2012, CCA 2012, ASP 2012, IST 2012, ISA 2012 and SIS2013 etc. He is a Life Member of Sigma Xi, The Scientific Research Society, a Vice-Chair of IEEE Computer Society Task Force on Artificial Immune Systems, and Chen Guang Scholar of Shanghai. His research has been supported by National Natural Science Foundation of China, Shanghai Natural Science Foundation and Shanghai Educational Development Foundation etc. He has published over 70 papers in referred journals and international conferences, and over 20 books such as Artificial Immune System Based on Normal Model and Its Applications, and Advanced Expert Systems: Principles, Design and Applications etc. His current research interests include immune computation, evolutionary computation, pattern recognition, network security, security in mobile embedded systems, applications of artificial immune systems in information security and intelligent networks. He is also a committee member of intelligent robots committee and natural computing committee in the Association of Artificial Intelligence of China.
  
Prof. Subramaniam Ganesan,  
Electrical and Computer Engineering,
Oakland University, Rochester, Michigan, USA
MEMs -micro electromechanical sensors in Automobiles

This presentation starts with a brief introduction to MEMs sensor and describes its current and advanced applications in automobiles. MEMS promises to revolutionize nearly every product category by bringing together silicon-based microelectronics with micromachining technology, making possible the realization of complete systems-on-a-chip. Because MEMS devices are manufactured using batch fabrication techniques similar to those used for integrated circuits, unprecedented levels of functionality, reliability, and sophistication can be placed on a small silicon chip at a relatively low cost.

The topics covered include: Automotive MEMS, for example Silicon Pressure Sensors, Inertial Measurement Units (IMU), Accelerometers, Gyroscopes, Piezo-resistive Pressure Sensors, Manifold intake air pressure sensor, Intelligent Tire Pressure sensors, Wireless data transmission, Capacitive MEMs, Capacitive sensing- lateral sensing mechanisms, fully differential configuration, interface circuit, accelerometer modeling, requirement of strain sensor for vehicle structural health monitoring, capacitive strain sensor design, simulation, fabrication process, characteristics, Energy harvester for self-powering MEMs, application and research challenges.

 

About Dr. Subramaniam Ganesan

Dr. Subramaniam Ganesan, is a Professor in the department of Electrical and Computer Engineering, Oakland University, Rochester, MI 48309, USA. He has over 25 years of teaching and research experience in Digital systems. He was the chair of the CSE department from1991 to 98. He received Ph.D. from Indian Institute of Science, Bangalore, India. He worked at National Aeronautical Laboratory, India, Ruhr University, Germany, Concordia University, Canada, and Western Michigan University before joining at Oakland University. He has published over 50 journal papers, 150 papers in conference proceedings, and 4 books. Ten students have obtained PhD under his guidance and 8 students are currently doing PhD. He is a senior member of IEEE, IEEE Computer Society Distinguished Visiting Speaker, and council member of ISPE. He received 2012 Loyd Withrow distinguished speaker award from SAE. He organized international conferences on Concurrent Engineering, a workshop on Xilinx DSP, IEEE EIT conference, ICSIT, and Embedded System workshops at Oakland University. He is the editor in chief of a International Journal of Embedded system and Computer Engineering. More details about him can be obtained from the web address: www.secs.oakland.edu/~ganesan. His research interests are in real time system, parallel architectures and computer systems for signal processing.

   
 

 
 

  
  
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