His research interests involve pediatric hematology and oncology as well as higher education curricula, both with universities and medical schools.

Recent, development in wireless networks, micro electro-mechanical systems (MEMS) technology, and digital electronics have led to the emergence of Wireless Sensor networks (WSNs). A wireless sensor network consists of spatially distributed autonomous sensors that cooperatively monitor physical or environmental conditions, such as temperature, light, sound, vibration, pressure, motion or pollutants 1 . These networks consist of small battery-powered motes with limited computation and radio communication capabilities. Each sensor in a sensor network consisting of three subsystems: the sensor which senses the environment, the processing subsystem which performs local computations on the sensed data, and the communication subsystem which is responsible for message exchanges with neighboring sensors.Wireless Sensor Network is an active area of research with numerous applications. Some of the applications of WSNs includes homeland security, health care system, monitoring of space assets for potential and human-made threats in space, ground-based monitoring of both land and water, intelligence gathering for defense, environmental monitoring, urban warfare, weather and climate analysis and prediction, battlefield monitoring and surveillance, exploration of the Solar System and beyond, monitoring of seismic acceleration, temperature, wind speed and GPS data 2 .A quality education requires exposing students to the current edge of research and technology. To ensure that student projects are complementary to industrial development, educators must continually introduce emerging techniques, technology, practices, and applications into their curriculum. The field of wireless sensor networks is growing rapidly and has captured the interest of various sectors. The increasing popularity of WSN has motivated universities to provide students with a foundation in the area. It is crucial that the emerging field of wireless sensor networks be integrated into the computer science and engineering curriculums. This paper studies the different approaches that are used by different institutions of higher education around the world to integrate wireless sensor networks concepts into their curriculum.

Nanotechnology is the science, engineering, and application of submicron matters that tie together unique biological, chemical, and physical properties of nanoscale materials in essentially new and beneficial ways. Nanoscience and nanotechnology involve the ability to see and to control individual atoms and molecules. The interest in nanotechnology arises from its potential to significantly affect numerous fields, including information technology, energy, healthcare, the environment, homeland security, national defense, and agriculture. Nanotechnology can be used across many fields, such as physics, chemistry, biology, material science, and engineering. This field will serve to trigger the next wave of the technology revolution.As nanotechnology is emerging and beginning to impact many aspects of our lives, the opportunities for careers are expanding rapidly. A major challenge of this field is the training and education of a new generation of skilled workers. This paper studies different approaches that are used by different institutions of higher education to integrate nanotechnology concepts into their curriculum.

She received her B.S., M.S., and Ph.D. all in Electrical Engineering from University of Oklahoma. Her research interests include gender issues in the academic sciences and engineering fields, Embedded Systems Design, Mobile Computing, Wireless Sensor Networks, Nanotechnology, Data Mining and Databases.

Organizations have many business rules to implement in their daily operations. This is done mainly by action assertions 1 traditionally implemented in procedural logic buried deeply within user's application program in a form that is virtually unrecognizable, unmanageable, and inconsistent. This approach places a heavy burden on the programmer, who must know all the constraints that an action may violate and must include checks for each of these constraints. An omission, misunderstanding, or error by the programmer will likely leave the database in an inconsistent state. The more modern approach is to define assertions at a conceptual level without specifying how the rule will be implemented. Thus, there needs to be a specification language for business rules. We have seen that the Enhanced Entity Relationship (EER) notation works well for specifying many business rules. In fact, EER notation was invented to allow more business rules to be shown in graphical form than was allowed with the simpler ER notation. In this paper, we use the ER/EER notation to represent business rules graphically. These rules will be used to enforce database consistency. Using the ER/EER notation, we represented the rules at conceptual level in relational data model without specifying how the rule will be implemented.