Niloofar Mansoor
User Experience and Human Factors Researcher
Summary
- User Experience and software engineering researcher with a strong background in human factors. With 5+ years of experience conducting software engineering and quantitative and qualitative human factors research with 1500+ users, resulting in 9+ publications in top software engineering conferences.
- Dedicated and motivated team player with demonstrated experience in mentorship, and communicating complex information to diverse audiences, as demonstrated by 3+ conference presentations, teaching 120+ students in 3 intro level classes, and guest lecturing for 3 higher level classes.
Experience
- University of Nebraska-Lincoln
- Human Factors Researcher (Postdoctoral Associate) – January 2023 – Current
- Collaborated with faculty members from diverse departments to design a large-scale survey on public attitudes toward technology and collected data from 1200 participants.
- Performed data analysis using SPSS on prior survey data to find patterns and answers about technology attitude and trust questions.
- Orchestrated user experience project for university researchers, pinpointing pain points and devising improvement strategies via 1:1 interviews and focus groups.
- Human Factors Researcher (Graduate Research Assistant) – August 2019 – December 2022
- Developer experience researcher with experience in conducting multiple studies resulting in discovering the best programming tool features and properties for the users.
- Project management and organizational skills as demonstrated by leading three different studies with 300+ participants.
- Spearheaded a large-scale online survey study with 250 participants using Qualtrics and an online remote study with 30 participants, resulting in the discovery of developer tool and language usage patterns and preferences.
- Led an eye-tracking study with 27 participants, resulting in discovering comprehension patterns and the best tool and language features for software defect detection using both the eye-tracking and 1:1 interview data.
- Efficient data analyst with expertise in Python and Statistical Analysis with in-depth knowledge of eye-tracking data and its intricacies. Experienced in statistical analysis methods such as regressions, ANOVA, and T-Tests.
- Performed qualitative content analysis of participants’ screen recordings to categorize search queries during code comprehension tasks to understand website usage patterns.
- Strong communication and presentation skills, as evidenced by 3+ international conference presentations and teaching multiple university classes at different levels.
- Partnered and collaborated with 4 international scholars from 4 different academic departments across multiple universities, resulting in 9+ scientific publications in top conferences.
- Commitment to education and mentorship with experience in teaching 3+ intro classes at the university and guest lecturing 3 higher level undergraduate classes, resulting in improved writing and programming skills in computer science students.
- Dedication to the community demonstrated by volunteering to teach about technology and coding to children and teens in 5+ events in Lincoln, Nebraska.
- Software Engineering Researcher – August 2017 – August 2019
- Software verification researcher with experience in reliability research of cyber physical systems resulting in finding defects in a surgical robot system
- Published research findings as a scientific paper
- Human Factors Researcher (Postdoctoral Associate) – January 2023 – Current
Contact Information
Skills
- Experimental Design
- Human Subjects Testing
- Recruitment
- Eye Tracking
- User Interviews
- Usability Studies
- Survey Design
- Data Analysis
- Statistical Analysis
- Log Analysis
- A/B Testing
Tools and Software
- Python
- SQL
- Java
- Pandas and Numpy
- HTML and CSS
- Mechanical Turk
- Prolific
- Qualtrics
Education
PhD in Computer Science
University of Nebraska-Lincoln
December 2022
- Focused on Human Centered Software Engineering
- Dissertation Title: An Empirical Assessment of Formal Models and Static Analysis Alarms in the Context of Defect Detection
MSc in Computer Science
University of Nebraska-Lincoln
May 2020
- Focused on Software Engineering and Software Reliability
- Thesis Title: Formal Modeling and Analysis of a Family of Surgical Robots