A5026852792- Energy Harvesting in Wireless Networks
- Green IT and Sustainability
- Context-Aware Activity Recognition Systems
- IoT and Edge/Fog Computing
- Innovative Human-Technology Interaction
- Modular Robots and Swarm Intelligence
- Parallel Computing and Optimization Techniques
- Opportunistic and Delay-Tolerant Networks
- Energy Efficient Wireless Sensor Networks
- Mobile Health and mHealth Applications
- Innovative Energy Harvesting Technologies
- Advanced Memory and Neural Computing
- IoT Networks and Protocols
- Mobile Crowdsensing and Crowdsourcing
- Age of Information Optimization
- Infection Control and Ventilation
- Digital Mental Health Interventions
- Video Surveillance and Tracking Methods
- Diverse Educational Innovations Studies
- Scientific Computing and Data Management
- Advanced Chemical Sensor Technologies
- Eating Disorders and Behaviors
- User Authentication and Security Systems
- Distributed systems and fault tolerance
- Advanced Malware Detection Techniques
Georgia Institute of Technology
2022-2025
Northwestern University
2018-2023
Atlanta Technical College
2023
Park Plaza Hospital
2023
University of Bologna
2023
Colorado School of Mines
2023
University of Klagenfurt
2023
Brown University
2021
Lifespan
2021
McCormick (United States)
2019
Sensing has been obsessed with delivering on the "smart dust" vision outlined decades ago, where trillions of tiny invisible computers support daily life, infrastructure, and humanity in general. Batteries are single greatest threat to this a sustainable Internet Things. They expensive, bulky, hazardous, wear out after few years (even rechargeables). Replacing disposing billions or dead batteries per year would be expensive irresponsible. By leaving behind surviving off energy harvested from...
Tiny intermittently powered computers can monitor objects in hard to reach places maintenance free for decades by leaving batteries behind and surviving off energy harvested from the environment--- avoiding cost of replacing disposing billions or trillions dead batteries. However, creating programs these sensors is difficult. Energy harvesting inconsistent, storage scarce, batteryless lose power at any point time--- causing volatile memory, execution progress, time reset. In response...
Batteryless, energy-harvesting sensing systems are critical to the Internet-of-Things (IoT) vision and sustainable, long-lived, untethered systems. Unfortunately, developing new batteryless applications is challenging. Energy resources scarce highly variable, power failures frequent, successful typically require custom hardware special expertise. In this paper, we present Flicker, a platform for quickly prototyping embedded sensors. Flicker an extensible, modular, "plug play" architecture...
Tiny energy harvesting battery-free devices promise maintenance free operation for decades, providing swarm scale intelligence in applications from healthcare to building monitoring. These operate intermittently because of unpredictable, dynamic environments, failing when is scarce. Despite this operation, current programming models are static; they ignore the event-driven and time-sensitive nature sensing applications, focusing only on preserving forward progress while maintaining...
Untethered sensing devices have, for decades, powered all system components (processors, sensors, actuators, etc) from a single shared energy store (battery or capacitor). When designing batteryless sensors that are by harvested energy, this traditional approach results in charge slowly and more error prone, inflexible, inefficient than they could be.
We present the design, implementation, and evaluation of a multi-sensor, low-power necklace,
Energy-harvesting devices have enabled Internet of Things applications that were impossible before. One core challenge batteryless sensors operate intermittently is reliable timekeeping. State-of-the-art low-power real-time clocks suffer from long start-up times (order seconds) and low timekeeping granularity (tens milliseconds at best), often not matching timing requirements experience numerous power outages per second. Our key insight time can be inferred by measuring alternative physical...
Tiny energy harvesting sensors that operate intermittently, without batteries, have become an increasingly appealing way to gather data in hard reach places at low cost. Frequent power failures make forward progress, preservation and consistency, timely operation challenging. Unfortunately, state-of-the-art systems ask the programmer solve these challenges, high memory overhead, lack critical programming features like pointers recursion, are only dimly aware of passing time its effect on...
Batteryless, energy-harvesting systems could reshape the Internet of Things into a more sustainable societal infrastructure.
Unmanned Aerial Vehicles (UAVs) hold immense potential across various fields, including precision agriculture, rescue missions, delivery services, weather monitoring, and many more. Despite this promise, the limited flight duration of current UAVs stands as a significant obstacle to their broadscale deployment. Attempting extend time by solar panel charging during midflight is not viable due battery limitations eventual need for replacement. This paper details our investigation battery-free...
Harvesting energy from the environment makes it possible to deploy tiny sensors for long periods of time, with little or no required maintenance; however, this free testing and experimentation difficult. Environmental sources vary widely are often difficult both predict reproduce in lab during testing. These variations also behavior dependent---a factor that leaves application engineers unable make even simple comparisons between algorithms hardware configurations, using traditional approaches.
Sensing platforms are becoming batteryless to enable the vision of Internet Things, where trillions devices collect data, interact with each other, and people. However, these sensing platforms—that rely purely on energy harvesting—are rarely able maintain a sense time after power failure. This makes working sensor data that is sensitive especially difficult. We propose two novel, zero-power timekeepers use remanence decay measure elapsed between failures. Our approaches compute from amount...
We present ENGAGE, the first battery-free, personal mobile gaming device powered by energy harvested from gamer actions and sunlight. Our design implements a power failure resilient Nintendo Game Boy emulator that can run off-the-shelf classic games like Tetris or Super Mario Land. This is capable of intermittent operation tracking memory usage, avoiding need for always checkpointing all volatile memory, decouples game loop user interface mechanics allowing restoration after failure. build...
Wearable technology enables a range of exciting new applications in health, commerce, and beyond. For many important applications, wearables must have battery life measured weeks or months, not hours days as most current devices. Our vision wearable platforms aims for long but with the flexibility security to support multiple applications. To achieve workload comprising apps from developers, these robust mechanisms app isolation developer tools optimizing resource usage.
The COVID-19 pandemic has dramatically increased the use of face masks across world. Aside from physical distancing, they are among most effective protection for healthcare workers and general population. Face passive devices, however, cannot alert user in case improper fit or mask degradation. Additionally, optimally positioned to give unique insight into some personal health metrics. Recognizing this limitation opportunity, we present FaceBit: an open-source research platform smart...
Harvesting energy from the environment makes it possible to deploy tiny sensors for long periods of time, with little or no required maintenance; however, this free testing and experimentation difficult. Environmental sources vary widely are often difficult both predict reproduce in lab during testing. These variations also behavior dependent---a factor that leaves application engineers unable make even simple comparisons between algorithms hardware configurations, using traditional approaches.
Battery-free and intermittently powered devices offer long lifetimes enable deployment in new applications environments. Unfortunately, developing sophisticated inference-capable is still challenging due to the lack of platform support for more advanced (32-bit) microprocessors specialized accelerators---which can execute data-intensive machine learning tasks, but add complexity across stack when dealing with intermittent power. We present Protean bridge gap battery-free sensors. Designed...
Wearables are a potentially vital mechanism for individuals to monitor their health, track behaviors, and stay connected. Unfortunately, both price lack of consideration the needs low-SES communities have made these devices inaccessible unusable that would most substantially benefit from affordances. To address this gap better understand how members perceive potential benefits barriers using wearable devices, we conducted 19 semi-structured interviews with people minority, high crime rate,...
Abstract Implantable cell therapies and tissue transplants require sufficient oxygen supply to function are limited by a delay or lack of vascularization from the transplant host. Previous exogenous oxygenation strategies have been bulky had production regulation. Here, we show an electrocatalytic approach that enables bioelectronic control generation in complex cellular environments sustain engineered viability therapy under hypoxic stress at high densities. We find nanostructured sputtered...
Battery-free sensing devices harvest energy from their surrounding environment to perform sensing, computation, and communication. This enables previously impossible applications in the Internet-of-Things. A core challenge for these is maintaining usefulness despite erratic, random or irregular availability; which causes inconsistent execution, loss of service power failures. Adapting execution (degrading upgrading) seems promising as a way stave off failures, meet deadlines, increase...
Background Mobile health (mHealth) wearable devices are increasingly being adopted by individuals to help manage and monitor physiological signals. However, the current state of wearables does not consider needs racially minoritized low–socioeconomic status (SES) communities regarding usability, accessibility, price. This is a critical issue that necessitates immediate attention resolution. Objective study’s aims were 3-fold, (1) understand how members low-SES perceive mHealth devices, (2)...
Activity-oriented cameras are increasingly being used to provide visual confirmation of specific hand-related activities in real-world settings. However, recent studies have shown that bystander privacy concerns limit participant willingness wear a camera. Researchers investigated different image obfuscation methods as an approach enhance privacy; however, these may varying effects on the utility image, which we define ability human viewer interpret activity wearer image. Visual is needed...
Conventional diet assessment approaches such as the 24-hour self-reported recall are burdensome, suffer from bias, and inaccurate in estimating energy intake. Wearable sensor technology, coupled with advanced algorithms, is increasingly showing promise its ability to capture behaviors that provide useful information for calorie macronutrient intake.This paper aimed summarize current technological monitoring intake on basis of expert opinion a workshop panel make recommendations advance...
Building and programming tiny battery-free energy harvesting embedded computer systems is hard for the average maker because of lack tools, to comprehend models, frequent power failures. With high ecologic cost equipping next trillion devices with batteries, it critical equip makers, hobbyists, novice programmers easy-to-use tools supporting application development. This way, makers can create untethered that are not plugged into wall, desktop, or even a battery, providing numerous new...
Hands-on computing has emerged as an exciting and accessible way to learn about engineering in the physical world for students makers of all ages. Current end-to-end approaches like Microsoft MakeCode require tethered or battery-powered devices a micro:bit, limiting usefulness applicability, well abdicating responsibility teaching sustainable practices. Unfortunately, energy harvesting are usually only programmable by experts significant supporting toolchains knowledge across multiple...