Breuna Wilson (she/her)
Breuna will be joining our lab as a part-time graduate student assistant at the Department of Engineering Education. She completed her M.S. in Mechanical Engineering from the University of Florida and her B.S. degree from the University of Little Rock, AK. Her research interests are mentoring, professional development, and K-12 STEM Education.
LinkedIn: @breuna
Email: breunawilson@ufl.edu
Aniket Malpure (he/him)
Aniket is working on completing his M.S. in Applied Data Science from the University of Florida. He is working as a part-time OPS employee supporting the lab in multimodal coding, data analysis, and dissemination. His interests are in machine learning applied to human subject research.
LinkedIn: @aniket-malpure-a073991b0
Yuxuan Wang (he/him)
Yuxuan is a graduate master’s alumnus from the Department of Computer & Information Science & Engineering at the University of Florida. He is engaged in a research study at Twister Lab, applying machine learning techniques to analyze crucial factors influencing engineering professionals’ emotions in relation to the hidden curriculum. Additionally, he worked as an OPS research assistant at the UF College of Medicine’s HOBI Department, providing data preprocessing and analysis support. Yuxuan is currently applying to doctoral programs and is enthusiastic about engaging in interdisciplinary studies.
LinkedIn: https://www.linkedin.com/in/yuxuan-wang-6a7868178/
Gadhaun Aslam (he/him)
He is a graduate student associate at the Department of Engineering Education at University of Florida (UF). He completed his baccalaureate in computer science from Forman Christian College (FCCU) and master’s in computer science from National University of Computer and Emerging Sciences respectively. He served as a Lecturer at FCCU prior to joining UF. His research interests include systematic literature reviews, the use of multi-modal tools (e.g., eye tracking, physiological electrodermal sensors) and machine learning in understanding the links between cognition, motivation, and performance in STEM classrooms and connected activities. He is currently serving as the president for the Engineering Graduate Student Council at UF Herbert Wertheim College of Engineering and Department of Engineering Education at UF.
LinkedIn: @gadhaun aslam
Email: gadhaunaslam@ufl.edu
Engineering Education Graduate Student Council: https://www.eng.ufl.edu/eed/research-2/graduate-student-council/
Naqash Gerard (he/him)
He is a graduate student associate at the Department of Engineering Education at University of Florida (UF). He completed his baccalaureate in computer science from Forman Christian College (FCCU) and his master’s in learning technologies from the National University of Sciences and Technology (NUST). He served as a Sr. Software Quality Assurance Engineer in Clustox prior to joining UF. His research interests include professional development in engineering and computer science, the use of multi-modal tools (e.g., eye tracking, physiological electrodermal sensors) and machine learning in understanding the links between cognition, motivation, and performance in STEM classrooms and connected activities. He is currently serving as the treasurer of the Engineering Graduate Student Council in the Department of Engineering Education at UF.
LinkedIn: @GerardNaqash
Email: naqash.gerard@ufl.edu
Engineering Education Graduate Student Council: https://www.eng.ufl.edu/eed/research-2/graduate-student-council/