Nichola Lubold Email & Phone Number

Charlotte, North Carolina, Us

Assembled and led inter-disciplinary team of researchers, engineers, and subject matter experts to design, develop and execute $1.9M research program addressing cognitive and metacognitive human factors issues in using automated aircraft systems. Findings communicated in peer-reviewed publications and technical reports. Awarded High-Flyer Aerospace award.Designed, conducted, and analyzed user evaluations on a broad range of technologies for pilots in the cockpit including speech, touch, informatics displays, and more. Applied quantitative and qualitative approaches, statistical analysis, artificial intelligence, and custom analysis tools using Python, R, SPSS, and MATLAB. Work provided evidence for certification for Airbus, Boeing, Dassault, and future air mobility aircraft features & products.Managed cross-functional team of hardware, software, and mechanical engineers on DARPA NEO - HIDES program to introduce an embedded cockpit AI solution for situational awareness and cognitive overload. Designed and conducted human factors evaluation; analysis demonstrated technology feasibility and development of future programs.Developed biosensing algorithms and interfaces to detect physiological state of pilots; led cross-functional team of hardware engineers, software engineers, fabric designers, and UX designers on $1.1M program. Prototypes utilized by flight squadron in the US Navy to provide insight into physiological episodes. Results published in peer-reviewed publications.Identified potential issues associated with cultural bias that may influence machine learning algorithm development. Won internal and external stakeholder support, and $200k DARPA grant. Built and led a diverse team; results drove design of future programs. Drive enthusiasm for UX research as leader of Crew Interface Technology Council, Honeywell AI University mentor, ASU Capstone team mentor, ASU Barrett Honors Thesis committees member, and core member of Honeywell’s Women in Tech AZ hub.

Tempe, Az, Us

Applied basic human-computer interaction research, statistical analysis, and artificial intelligence techniques to develop tools to model the dynamics of dysarthria in speech. Mentored and managed undergraduate students on use and development of these tools. Speech pathologists and researchers now leverage these tools to help individuals with dysarthria improve their overall well-being by enhancing their ability to communicate.

Tempe, Az, Us

User-centered, iterative design approaches were employed to create four robotic learning companions that were socially adaptive in their speech and movement to increase motivation to engage with the robot and increase student learning. Quantitative and qualitative evaluations were conducted at diverse and economically disadvantaged schools, providing 155 middle school students with a novel and unique experience encouraging interest in STEM. Recognized for quality of research through with two best poster nominations. A brief video on some of the work was published at the NSF STEM Education Showcase (https://youtu.be/RmcGmLByRdM)Investigated automatic detection of common ground and rapport of collaborating individuals using entrainment, a phenomenon where speakers become more similar over time, towards the goal of detecting successful collaborators. Results supported intelligent tutoring applications that empower middle school and high school teachers and students to engage in collaborative activities.

Mountain View, California, Us

Developed and supported data science tools to enable marketing and business analysts to take advantage of machine learning algorithms with a user-friendly interface; the tools resulted in reduced analysis time and increased marketing insights by allowing analysts to look at aggregated data from several hundred users.

Norwalk, Ct, Us

Managed a cross-functional and geographically diverse team to produce digital solutions to address new requirements in change management, problem management, and incident management. Implemented programs for addressing adherence to regulatory requirements resulting from the Dodd-Frank Act and designation as a Systematically Important Financial Institution, which significantly changed regulatory environment. Identified and addressed usability challenges with usability testing, surveys, analytics, and interviews, such that solutions resulted in 100% adherence to regulatory requirements while still streamlining process flows.

Norwalk, Ct, Us

Proposed and led cross-functional team to reduce potential non-compliance to software audits by designing and developing a comprehensive solution for the software procurement and installation process, where gaps due to different licensing and procurement requirements created challenges in tracking licenses. Leveraged focus groups, interviews, and data analytics to design interface and system. Significantly reduced business risk, software procurement time, and remediation activities associated with procuring and tracking software licenses.

Norwalk, Ct, Us

Notre Dame, In, Us

Norwalk, Ct, Us

Doctor Of Philosophy (Phd), Computer Science

Bachelor Of Science (Bs), Computer Engineering