Internet Of Things (Iot) Applications
2 researchers across 2 institutions
Research in Internet of Things (IoT) applications explores the design, development, and deployment of interconnected devices and systems. This work investigates how to collect, process, and analyze data from sensors and actuators to create intelligent environments and automate processes. Areas of focus include developing novel sensing technologies, ensuring data security and privacy within IoT ecosystems, and creating efficient algorithms for real-time decision-making. Applications range from smart infrastructure and industrial automation to personalized health monitoring and environmental sensing.
This research has significant relevance to Arkansas's economy and well-being. In agriculture, IoT technologies can optimize crop yields and resource management, supporting the state's robust farming sector. For healthcare, connected devices offer new avenues for remote patient monitoring and improved public health outcomes, addressing the needs of diverse populations across the state. Furthermore, advancements in IoT can enhance the efficiency of logistics and manufacturing, key industries within Arkansas.
This field draws upon and contributes to expertise in machine learning, neural networks, and blockchain technology. Interdisciplinary collaborations also extend to health sciences, medical imaging, and understanding user behavior in adopting new technologies. This research is pursued across multiple institutions within Arkansas, fostering a broad base of expertise.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| C. P. Shirley | UAMS | 6 | 171 | ||
| Gavin Tomlinson | University of Arkansas | 0 | 0 |
Related Research Areas
Strategic Outlook
Global signals from OpenAlex for this research area: where the field is growing, how concentrated leadership is, and where Arkansas sits relative to the world's top-100 institutions. Descriptive only — surfaced as input to the conversation about where to place bets, not a recommendation. Signal confidence: LOW
Top US institutions in this area
- 1 Cornell University 410
- 2 Massachusetts Institute of Technology 370
- 3 New York University 363
- 4 Carnegie Mellon University 341
- 5 The University of Texas at San Antonio 321