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Internship combines AI, Data Science, and Cyber Security to enhance HR practices

Computing Ph.D. Candidate Nuhil Mehdy recently accepted a Summer Internship from Micron Inc, Boise. He will be working as a Data Science Intern in the Human Resource Department to enhance the employee experience through descriptive, predictive, and prescriptive analysis. The focus of this internship is to combine artificial intelligence with human intellect to improve every stage of the employment lifecycle; from talent acquisition and onboarding to talent management and employee well-being, all the way through to retirement or termination. This is a human and business domain problem in cyberspace, concerned with the security and privacy of employee information. This is a perfect research area to learn more about state-of-the-art cyber-security practices in an industry-scaled infrastructure. Nuhil anticipates that this internship will propel his career in cybersecurity as well as his Ph.D. research. Alongside research, Nuhil loves doing volunteer work for the community. He is the current president of the Bangladeshi Students Association at Boise State University, and recently led a volunteer team of Boise State Computer Science Students for the 2020 IACRC Elections Conference arranged by the Idaho Secretary of State to provide cybersecurity training for county clerks and election officials.

Nuhil Mehdy is currently enrolled in the Computing Ph.D. program at Boise State University under the Cyber Security emphasis. He previously earned his B.Sc. Eng. degree in Computer Science from Rajshahi University of Engineering and Technology in Bangladesh and M.S. in Computer Science from Lamar University, USA. His research interests, under the supervision of Dr. Hoda Mehrpouya, include Human Behavior, Privacy, and Security related to modern internet users, industrial control systems, internet of things, and distributed systems. His current research work focuses on utilizing Deep Learning-based approaches along with Formal Verification to investigate users’ privacy decision-making processes and their disclosure behavior. Moreover, he is interested in Machine Learning methodologies to implement them in different problem domains such as Natural Language Processing, Intrusion and Anomaly Detection, Threat Prediction, etc.