Jeniya Sultana
I study how wearable sensors and machine learning can detect fatigue, cognitive load and risk in construction workers, before they turn into injuries.
Ph.D. researcher in Civil, Environmental and Construction Engineering, The University of Texas at El Paso. M.S. Computer Science, Missouri State University.
Recent news
- Best Poster Presentation Award at the Human Factors and Ergonomics Society (HFES) Regional Conference, El Paso, Texas, for Neuroergonomic Evaluation of Exoskeleton-Assisted Construction Postures Using Multimodal Physiological Monitoring. I also served as a session chair at the conference.
- Paper published in the Construction Research Congress 2026 proceedings (ASCE): EEG-based mental fatigue assessment during exoskeleton-assisted construction postures.
- Served as Entrepreneurial Lead on an NSF I-Corps team, conducting 50+ customer discovery interviews; our team received program funding.
- Paper on dynamic context detection (DyCoDe) published at IEEE CCNC 2025.
- Began Ph.D. research at UTEP on wearable sensing for construction safety.
What I work on
Wearable biosignals
Measuring fatigue, cognitive load and physical strain from EEG, EMG and PPG signals collected during realistic construction tasks.
Learning from scarce data
Using generative models such as GANs to augment small, noisy biosignal datasets so models generalize to new workers and conditions.
Human–technology interaction
Evaluating how exoskeletons and other assistive technologies affect both the body and the mind of the people who wear them.
NSF I-Corps Entrepreneurial Lead
Through the National Science Foundation's Innovation Corps program, I took our lab's research out of the lab and into conversations with the people who would use it. I led the team's customer discovery, interviewing more than 50 industry stakeholders to test whether the problems we study match the problems they face.
See the full experience- Role
- Entrepreneurial Lead (graduate student), August–December 2025
- Customer discovery
- 50+ stakeholder interviews across industry to validate problem–solution fit
- Outcome
- Competitive NSF I-Corps team funding for research translation and customer discovery