Delaram YazdanSepas
Assistant Professor of Computer Science Loyola Marymount University
Biography
Email: delaram@lmu.edu
Office: Doolan Hall 108
Website: delaram.lmu.build
ORCID: orcid.org/0000-0001-7998-8792
Delaram Yazdansepas is an Assistant Professor of Computer Science at Loyola Marymount University whose research explores how intelligent technologies can better understand people in the context of everyday life and, ultimately, support healthier and more meaningful human experiences. Her work sits at the intersection of ubiquitous and pervasive computing, mobile sensing, digital health, and human-centered technology design, with a focus on developing smartphone- and wearable-based systems that transform sensor data into practical insights about human activity, behavior, and health.
Her interdisciplinary collaborations span computer science, engineering, and health sciences, including research on activity recognition, energy expenditure estimation, mobile health applications, and AI-supported interventions for behavior change. Alongside her technical research, she is also engaged in computing education research focused on creating evidence-based and inclusive learning experiences that broaden participation in computer science.
At Loyola Marymount University, she teaches across computer science foundations, human-centered computing, and ubiquitous systems while mentoring undergraduate researchers in applied computing and digital health innovation. Originally from Tehran, Iran, Dr. Yazdansepas brings both a global perspective and a human-centered lens to her research, teaching, and interdisciplinary collaborations.
Office: Doolan Hall 108
Website: delaram.lmu.build
ORCID: orcid.org/0000-0001-7998-8792
Delaram Yazdansepas is an Assistant Professor of Computer Science at Loyola Marymount University whose research explores how intelligent technologies can better understand people in the context of everyday life and, ultimately, support healthier and more meaningful human experiences. Her work sits at the intersection of ubiquitous and pervasive computing, mobile sensing, digital health, and human-centered technology design, with a focus on developing smartphone- and wearable-based systems that transform sensor data into practical insights about human activity, behavior, and health.
Her interdisciplinary collaborations span computer science, engineering, and health sciences, including research on activity recognition, energy expenditure estimation, mobile health applications, and AI-supported interventions for behavior change. Alongside her technical research, she is also engaged in computing education research focused on creating evidence-based and inclusive learning experiences that broaden participation in computer science.
At Loyola Marymount University, she teaches across computer science foundations, human-centered computing, and ubiquitous systems while mentoring undergraduate researchers in applied computing and digital health innovation. Originally from Tehran, Iran, Dr. Yazdansepas brings both a global perspective and a human-centered lens to her research, teaching, and interdisciplinary collaborations.
Education
Qazvin Azad University
B.S., Computer Software Engineering
2011
The University of Georgia
Ph.D., Computer Science
2017
Areas of Expertise
Computer Science
Pervasive Computing
Ubiquitous Computing
Data Analytics
Computing Education
