The mentor and her collaborators are developing mobile crowdsourcing platforms for applications spanning from environmental sensing and urban planning (e.g. noise pollution mapping), commerce (e.g. monitoring consumer price dispersion) and personalized healthcare and wellness. Because open systems based on crowdsourcing and mobile technologies are susceptible to both data tampering and compromise of user privacy, her work focuses on leveraging techniques such as trusted computing and homomorphic encryption to safeguard data integrity and user privacy. For more details, please see http://web.cecs.pdx.edu/~nbulusu/papers/hotsec09.pdf, http://web.cecs.pdx.edu/~nbulusu/papers/securecomm11.pdf, and http://web.cecs.pdx.edu/~nbulusu/papers/tecs14.pdf. Females and minorities are strongly encouraged to apply.