Fettah Kiran

Bio

I am currently a Ph.D. student conducting research in the Affective & Data Computing ACDC lab under the esteemed guidance of Prof. Ioannis Pavlidis. My academic journey includes an M.S. in Computer Science earned at Louisiana State University.

My Ph.D. research work is a pivotal part of the NSF-funded Affective Math project, where I am deeply involved in various aspects of the research process. This includes designing and conducting experiments, meticulously analyzing data, and actively contributing to the development of sophisticated mathematical models. My dedication to this project allows me to explore and contribute to the exciting intersection of affective computing and mathematics, furthering our understanding of these fields.

Research Interests

• Affective Computing
• Machine Learning
• Computer Vision

Education

Ph.D., Computer Science
University of Houston, Houston, TX
College of Natural Sciences and Mathematics
Relevant coursework: Statistical Methods in Research
Research: Affective Computing, Human-Computer Interaction, Signal Processing

M.S., Computer Science (2020)
Louisiana State University, Baton Rouge, LA
Division of Computer Science and Engineering
Relevant coursework: ML, AI, Theory of Computation, Game Design
Research: Brain Computer Interaction, ADHD, Serious Games

B.S., Department of Computer and Instructional Technologies Education (2013)
Ondokuz Mayis University, Samsun, Turkiye
Faculty of Education
Relevant coursework: Material Design, Programming Languages, AI, Distance Learning

Technical Skills

• Data Analysis and Statistics: Multimodal Data, R, Python
• Design and Modeling Tools: SwiftUI, Xcode, Canvas, Microsoft Office
• Programming: Python, R, C++, Swift
• Operating Systems: MS Windows, MacOS, Bash, Linux
• Selected Certifications:
  • Micro-credential in Data Science - HPE DSI (2023) - Show credential
  • Social-Behavioral-Educational Researchers - CITI UH
• All certifications

Experience

Research Assistant Texas Institute for Measurement, Evaluation and Statistics, Houston, TX

• Preparing experimental setup
• Collecting, curating, and visualizing Affective Math data
• Developing analytic methods in R
• Training thermal imaging

Graduate Teaching Assistant Department of Computer Science, University of Houston, TX

• Academic Support: Diligently graded assignments, midterms, and final exams for advanced graduate-level courses, including Ubiquitous Computing (Swift), Statistical Methods in Research (R), Data Science II (Python), Machine Learning (Python)

• Mentorship: Provided invaluable guidance to over 40 fellow students across six University Computer Science laboratories, offering expertise in data acquisition, processing, and the effective reporting of experimental outcomes.

• Positive Impact: Achieved consistently high student satisfaction scores, as evidenced by a remarkable 4.6/5.0 rating on student evaluations, reflecting my commitment to fostering academic excellence and facilitating comprehensive understanding.

Publications

Teaching

UBIQUITOUS COMPUTING - COSC 4355

• FALL 2024 | GitHub repo

• FALL 2023 | GitHub repo

• FALL 2022 | GitHub repo

STATISTICAL METHODS IN RESEARCH - COSC 6323

• SPRING 2024 | GitHub repo

• SPRING 2023 | GitHub repo