Framework for Assets’ Lifecycle Management Using Auto-ID and RTLS Technologies
Special Individualized Programs (SIP) Ph.D.
Ali Motamedi is a Ph.D candidate and researcher assistant in SIP program (interdisciplinary graduate program) at Concordia University. He has many years of experience in the area of information technology and has participated in the design of several internetworking projects. In 2006, he joined the Concordia Institute for Information Systems Engineering (CIISE) and graduated from the Quality Systems Engineering program in 2009. His research focuses on Radio Frequency Identification technology (RFID), Real-time Location Tracking Systems (RTLS) and intelligent products. Ali is the holder of several national and provincial scholarships and awards including FQRNT, NSERC, and the Concordia Merit Award. His research results have been published in several journals including Advanced Engineering Informatics and IT in Construction and presented in various conferences. Ali started collaborating with the Center for Sensory Studies in 2011, investigating the topic of how to extend human senses by using intelligent sensors. His research interests include intelligent sensors for ubiquitous computing environments, the Internet of things, and intelligent products.
Ubiquitous computing suggests wirelessly intercommunicating microprocessors that are invisibly embedded in objects. By the help of new materials (e.g., semi-conducting polymers), advances in sensor technology, miniaturization and nanotechnology, electronic systems will be embedded in objects and require less energy to operate. Identification technologies such as Radio Frequency Identification (RFID) and wireless sensor technologies allow objects to provide information about their environment and context, leading to the creation of an “Internet of Things” (IoT) that connects and enables intelligent interaction between objects around the world.
The proposed research involves permanently attaching RFID tags to facility components and assets where the memory of the tags is populated with accumulated lifecycle information taken from a standard database. This information is used to enhance different processes throughout the lifecycle. Having this information embedded in the components allows different stakeholders to use the memory to store the necessary information for their operations, and facilitate information handover to other users.
Attaching RFID tags to building component and assets provides a distributed data storage within the facility. This cloud of RFID tags and sensors can store data to be used for various Location-Based Services (LBS) (e.g. floor plans and hazardous materials). Additionally, an RFID-tagged environment has the potential to provide localization. It is the basis for context awareness within the building that involves an automatic recognition of the user’s location and activity. My current research focuses on developing techniques for location tracking in an RFID-tagged environment, and the design of various context-aware services. Collaboration with the data security research group is a crucial part of this research. The results will empower applications with data privacy solutions to provide role-based and secure access to RFID data.
Ali Motamedi defended his thesis with September 2013 and graduated at Fall Convocation with distinction.