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Living Link Lab and Wellbeing

We aim to study influential environmental and human factors to the well-being and productivity of residents in the Link Lab (access to up to 150 occupants) by utilizing actively and passively collected data from wearables and smartphones. We have already conducted a pilot study in Fall 2021 and have started a large-scale study in April 2022. The study also takes advantage of a unique Django-based web server developed solely to facilitate occupant behavior research and is constantly being improved. 


Li, B., Tavakoli, A., Wang, A., Kaur, N., Barnes, L., Doryab, A., & Heydarian, A. (2023). Measuring Success, One Sensor at a Time: A Sensing Infrastructure for Longitudinal Workspace Behavior Monitoring. Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 413–420.

Perception of User Privacy in Smart Infrastructure Systems

Smart buildings are becoming more prevalent, assisted by the growth of the Internet of Things (IoT) devices. This research aims to understand user perceptions of privacy in the context of smart buildings. The knowledge will help us understand the deviation between user perception and reality and help inform designs/frameworks to allow users to make informed decisions regarding privacy. We analyze what information can be inferred from data collected by IoT and its privacy implications. We will be conducting interview and survey studies to evaluate individual understanding and awareness of privacy considerations in smart buildings and IoTs. (Ongoing)


Li, B., Tavakoli, A., & Heydarian, A. (2023). Occupant privacy perception, awareness, and preferences in smart office environments. Scientific Reports.

Privacy Perceptions & Social Class

We aim to understand how social class affects perceptions of privacy invasion as prior research has suggested that people are inherently opposed to behavior tracking. This is especially of interest due to the growth of smart environments and sensors that are capable of tracking and influencing the behavior of users in the space. (Ongoing)

Trust and Security of Advanced Logistics Systems with Embedded Smart Devices

An Undergraduate Capstone Project: We adressed the needs of military and industry for logistics and supply chains with respect to security and risk management of hardware and embedded systems. There were two testbeds of analysis (1) development and aquistion of hypersonics aviation technologies, and (2) charging of fleet electric vehicles. Through literature review and expert feedback, we conducted a scenario-based risk analysis that informed security and risk management strategies. This research has been been presented to our industry sponsors*, U.S. Army Corps of Engineers, NSF Center for Hardware & Embedded Systems Security & Trust (CHEST). *Industry Sponsors: Systems Planning & Analysis, Inc.; Fermata LLC; Commonwealth Center for Advanced Logistics

VanYe, C. M., Li, B. E., Koch, A. T., Luu, M. N., Adekunle, R. O., Moghadasi, N., Collier, Z. A., Polmateer, T. L., Barnes, D., Slutzky, D., Manasco, M. C., & Lambert, J. H. (2021). Trust and Security of Embedded Smart Devices in Advanced Logistics Systems. 2021 Systems and Information Engineering Design Symposium (SIEDS), 1–6.

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