Computing on the Extreme Edge
This talk focuses on a sustainable approach to realize the vision of "Intelligent Everyday Objects." The goal is to equip everyday objects with sensing, computing, and communication capabilities without sacrificing their form-factor or usability while enhanced user experience. Such devices can be referred as "Extreme Edge" devices. Batteries often answer the power requirement of these extreme edge devices. However, replacing, or recharging batteries is cumbersome and unscalable. To illustrate, even with a battery life of 10 years, 274 million batteries would need to be replaced daily when the number of extreme edge devices reaches one trillion by 2035. Thus, the solution is to explore resource-constrained computation and sustainable energy sources. These constraints resources and stochastically available energy introduces new challenges, including timeliness, complex computability (executing machine learning algorithm), and applicability.
Bashima will be joining the Department of Electrical and Computer Engineering at Worcester Polytechnic Institute as an Assistant Professor from Fall 2022. She will direct the Bringing Awareness through Systems for Humans Lab (BASH Lab), which focuses on understanding and enhancing the usability, intelligence, and processing capabilities of tiny low-power edge devices to realize their full potential in our daily lives. She aims to develop a new set of intelligent edge computers that provide sustainable and scalable sensing solutions in various application domains ranging from health wearable to precision agriculture. The interdisciplinary nature of my research involves diverse domains, including Machine Learning, Mobile Computing, Embedded Systems, and Ubiquitous Computing.
Bashima received her Ph.D. in Computer Science from the University of North Carolina at Chapel Hill (UNC) in 2016 and is currently a Visiting Postdoctoral Research Associate at the University of Illinois at Urbana Champaign (UIUC). Her work has been published in top conferences, including IMWUT/UBICOMP, IPSN, RTAS, and MobiSys. In recognition of her work on time-aware intermittent systems, she received an honorable mention for the Gaetano Borriello Outstanding Student Award at UbiComp 2020. She was one of the Rising Stars in EECS, 2020. She is also a recipient of the N2Women Young Researcher Fellowship Award, 2017.
Host: Professor Fatemeh (Saba) Ganji