Vamshivardhan Chinthala

Detail-oriented, organized and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

Protecting location privacy for task allocation in ad-hoc mobile cloud computing:

I have done a project in my under graduation. which is to protect data from unauthorized users.

Despite many promising applications, ad hoc mobile clouds pose several challenges. First, mobile cloud resources in an ad hoc mobile cloud are dynamic and diverse. As a result, some mobile servers may drop the task they are performing and leave the cloud. Some mobile servers may be “spammers” that only want to collect rewards and submit arbitrary answers without looking at the specific task. Moreover, some mobile servers may not be powerful enough to provide sensing data at the required accuracy. Therefore, how to allocate tasks to ensure the quality of the service provided by these dynamic mobile servers is challenging. Security and privacy of mobile devices as service providers is a critical concern in the ad hoc mobile cloud. In order to allocate tasks and provide effective services, mobile servers in an ad hoc mobile cloud need to share their location data with the CCP, which could reveal a lot of personal information such as a user’s identity, health status, personal activities, and political views. Hence, it is mandatory to provide privacy guarantee in order to engage more mobile devices in the cloud. Finally, there is an inherent conflict between quality of service (i.e., utility) and privacy in task allocation. If an ad hoc mobile cloud ensures privacy of mobile servers, it is difficult to guarantee the utility of their MCC service. Finding a solution that ensures privacy while guaranteeing utility for task allocation is a major challenge in such systems.

Mind Reading Computer :

People express their mental states, including emotions, thoughts, and desires, all the time through facial expressions, vocal nuances, and gestures. This is true even when they are interacting with machines. Our mental states shape the decisions that we make, govern how we communicate with others, and affect our performance. The ability to attribute mental states to others from their behavior and to use that knowledge to guide our own actions and predict those of others is known as the theory of mind or mind-reading.