Securing Next-Generation Computing: Towards Trustworthy Mobile Systems
CS Faculty Candidate Talk: Dr. Tianfang Zhang
Title: Securing Next-Generation Computing: Towards Trustworthy Mobile Systems
Time: February 12, 2025 at 10:00 AM Eastern Time (US and Canada)
Location: M03-732/Web lab. Refreshments will be served.
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Abstract: Next-generation (NextG) computing is transforming traditional paradigms by integrating emerging technologies across diverse domains, including the Internet of Things (IoT), Augmented/Virtual Reality (AR/VR), and Artificial Intelligence (AI). While these advancements enable a wide range of innovative applications, they also introduce significant security and privacy risks, such as sensitive data leakage and stealthy cyber threats. Ensuring the trustworthiness of NextG computing has become a critical challenge for the safe deployment of future applications.
Bio: Tianfang Zhang is currently a Ph.D. candidate in the Department of Electrical and Computer Engineering and WINLAB, at Rutgers University, under the supervision of Prof. Yingying (Jennifer) Chen. His research interests mainly focus on the security and privacy of mobile systems, robust and trustworthy machine learning systems, mobile sensing and computing, and smart healthcare. His research explores novel machine learning, wireless sensing, and signal processing approaches to address emerging challenges associated with security and privacy, augmented/virtual reality (AR/VR), mobile healthcare, and human-computer interaction (HCI). During his Ph.D. study, he has published 17 conference and journal papers in top-tier conferences and prestigious journals including ACM CCS, ACM MobiCom, ACM MobiSys, ACM MobiHoc, IEEE S&P, IEEE MASS, and IEEE Transactions on Mobile Computing. His research has been widely reported by various media outlets, such as Yahoo News, MIT Technology Review, BBC News, etc.