Department of Applied Computing faculty and staff are invited to a technical presentation by Applied Computing faculty candidate Raiful Hasan. The talk takes place on Tuesday, February 28, 2023, at 1 p.m., online via Zoom.
Talk Title: Multimodal and Secure Personal Safety: Distraction, Interaction, and Privacy
Talk Abstract: Interactions between humans and wearable computing, smart devices, autonomous vehicles, and machine interfaces have revolutionized, transforming how we work, live, and play. While tamingdigital devices has benefits, it also presents new risks, such as reduced cognitive effort, distraction, security, and privacy issues. Almost everyone has witnessed pedestrians engage with their smart devices while walking, especially the young generation, whether on social media, talking, or listening to music. These are known as “Distracted Pedestrians” or “Smartphone Zombies.” Although active research continues in the Autonomous Vehicles (AV) industry, including pedestrian tracking, automated signaling, and vehicles-to-pedestrians communication, limited studies focus on pedestrians’ perceptions and safety measures. In addition, the overwhelming use of always sensing devices in emerging technologies (i.e., wearables, cameras, AVs) raises the concern of distrust, privacy, and security implications for pedestrians and bystanders. In this talk, I will introduce a series of research works toward multimodal and secure personal safety applications focusing on pedestrian safety (i.e., distraction, localization, intervention) and privacy, context-aware warning, ad-hoc alert dissemination, and threat analysis. Finally, I will conclude the talk by discussing my future and how I plan to incorporate at Michigan Tech, funding and collaboration perspectives.
Bio: Raiful Hasan is a Ph.D. candidate in Computer Science at the University of Alabama at Birmingham (UAB) and currently working as an NSF EPSCoR fellow at UAB Secure & Trustworthy Computing Lab (UAB SECRETLab). His research lies broadly at the intersection of mobile and wearable computing, cyber-physical systems’ security and privacy, human-computer interaction, and the Internet of Things. He investigates context-aware and privacy-preserving intervention systems for distraction detection, mixed reality-based simulation for pedestrian-AV interactions, and vulnerabilities with potential attacks of these cyber-physical systems. His research has been published in premier journals and conferences, including IEEE Internet of Things, Future Generation Computer Systems, IEEE Consumer Electronics, Accident Analysis & Prevention, and IEEE CCNC. Raiful’s research proposal was funded for a two-year period by the National Science Foundation EPSCoR program. He also received grants as the sole Principal Investigator from Sigma Xi. In addition, his proposal was awarded second place at the IEEE International Conference on Digital Health (ICDH) 2022 student research competition, funded by NSF and the Technical Committee on Services Computing (TCSVC). Currently, Raiful is serving on the editorial board of ACM XRDS, a flagship computing magazine of ACM, and a Sparkman Fellow of the Sparkman Center for Global Health.