Steven Jiang
Biographic Data
| ID | 9258152 |
|---|---|
| NAME | Steven Jiang |
| GIVEN NAMES | Steven |
| FAMILY NAME | Jiang |
| SIGNATURE | JIANG S |
| AFFILIATIONS | North Carolina Agricultural and Technical State University |
| ORCID | 0000-0002-6937-927X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Integrating Data Science Into Undergraduate Science and Engineering Courses
Contribution: This article discusses a research-practice partnership (RPP) where instructors from six undergraduate courses in three universities developed data science modules tailored to the needs of their respective disciplines, academic levels, and pedagogies. Background: STEM disciplines at universities are incorporating data science topics to meet employer demands for data science-savvy graduates. Integrating these topics into regular cours…
Performance-Aware Trust Modeling within a Human–Multi-Robot Collaboration Setting
In this study, a novel time-driven mathematical model for trust is developed considering human–multi-robot performance for a Human–Robot Collaboration (HRC) framework. For this purpose, a model is developed to quantify human performance considering the effects of physical and cognitive constraints and factors such as muscle fatigue and recovery, muscle isometric force, human (cognitive and physical) workload, workloads due to the robots’ mistakes…
Resiliency within the Socio-Ecological System of a Large Food Bank Network
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Resiliency within the Socio-Ecological System of a Large Food Bank Network
Performance-Aware Trust Modeling within a Human–Multi-Robot Collaboration Setting
In this study, a novel time-driven mathematical model for trust is developed considering human–multi-robot performance for a Human–Robot Collaboration (HRC) framework. For this purpose, a model is developed to quantify human performance considering the effects of physical and cognitive constraints and factors such as muscle fatigue and recovery, muscle isometric force, human (cognitive and physical) workload, workloads due to the robots’ mistakes…
Integrating Data Science Into Undergraduate Science and Engineering Courses
Contribution: This article discusses a research-practice partnership (RPP) where instructors from six undergraduate courses in three universities developed data science modules tailored to the needs of their respective disciplines, academic levels, and pedagogies. Background: STEM disciplines at universities are incorporating data science topics to meet employer demands for data science-savvy graduates. Integrating these topics into regular cours…
Business (2 works) · Computer Science (2 works) · Political science (2 works) · Psychology (2 works) · Artificial Intelligence (1 work) · Disaster Management and Resilience (1 work) · Ecological systems theory (1 work) · Educational Assessment and Improvement (1 work) · Engineering (1 work) · Engineering education (1 work)