"Understanding how people's emotions, cognitive processes, and individual differences influence the way they interact with AI has reinforced the importance of designing AI systems around human needs. "
I received my Bachelor's degree in Computer Software Engineering and my Master's degree in Computer Science. During my Master's studies, I conducted research on a smart dynamic energy management system that enabled users to analyze and manage their electricity consumption. By leveraging AI, machine learning, predictive models, and persuasive technology, the system provided personalized recommendations to help users make more informed decisions about their energy usage.
I am currently pursuing a Ph.D. in Computational Media at the University of California, Santa Cruz, under the supervision of Prof. Magy Seif El-Nasr. My research is centered around developing computational frameworks and methodologies to understand and model human behavior and interactions during learning and problem-solving, with the aim of developing personalized AI systems that adapt to context and individuals' needs to provide effective, human-centered support.
I have been interested in interdisciplinary research that bridges computer science, data science, AI, and human behavior. While I enjoyed the technical aspects of designing and developing software, computational systems, and AI models, I became interested in conducting research to understand the requirements for designing systems that have an effective, positive impact on humans. That interest motivated me to pursue graduate studies, where I could conduct research on the interaction between humans and intelligent technologies, while also developing my technical expertise in AI, data science, and machine learning.
"To build systems that are effective, it is important to understand the people the technology is designed for and the contexts in which it is used."
My research explores how AI can support people as they learn and solve complex problems. I investigate the requirements for design and develop AI systems that can understand human behavior, including emotional states, and provide personalized guidance.
I realized that developing software and AI models is only one part of creating technology that benefits people. To build systems that are effective, it is important to understand the people the technology is designed for and the contexts in which it is used. I became interested in understanding how to design intelligent systems that have a positive impact on people in contexts such as learning, well-being, health, and education, as well as how humans interact with these systems and how they influence human behavior. This interest led me to Human-Computer Interaction and Computational Media, specifically in Human-AI Interaction and Human-Centered AI. My work combines AI with insights into human behavior to develop AI-driven technologies that augment humans' learning, decision making and problem-solving.
The most rewarding and exciting moment in my research has been realizing how AI can bridge the gap between technological solutions and individuals' unique needs. AI can go far beyond making predictions by providing personalized guidance that augments human capabilities, helping them learn and solve complex problems.
Understanding how people's emotions, cognitive processes, and individual differences influence the way they interact with AI has reinforced the importance of designing AI systems around human needs. Knowing that this kind of human-centered AI has the potential to make a meaningful difference in people's lives is what motivates me as a researcher.
"My research is centered around developing computational frameworks and methodologies to understand and model human behavior, with the aim of developing personalized AI systems that adapt to context and individuals' needs."
My career goal is to continue conducting research at the intersection of AI, Human-AI Interaction, and Human-Centered AI, either in academia or an industry research lab.
I would tell new students to take advantage of the opportunities the lab offers. Explore different projects, collaborate with people, and discover the research questions that excite you most. The lab provides the opportunities to pursue your interests while offering great mentorship and support, making it a great place to gain new knowledge, develop valuable skills, and grow as a researcher.
The paper, "Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design", is one of the most interesting papers I've read because it reframes the challenges of human-AI interaction. The paper explores why designing effective human-AI interactions is uniquely difficult. It identifies the underlying sources of these challenges and introduces a conceptual framework that helps to reason about and address them.