For more information, please visit my FACULTY PAGE
Runze is working towards developing a computational framework for automated discovery and modeling of human rhythms. This project aims to understand the complex principles behind the physical and psychological abnormalities of human bodies, to plan life schedules, and avoid persisting fatigue and mood and sleep alterations due to the desynchronization of those rhythms.
Personal site: https://runz96.github.io
My research is focused on Human-Robot-Interaction using emotion recognition and adaptation in humanoid robots. I am particularly interested in using these adaptive humanoid robots for applications such as pain management in children, mental health wellbeing, and fighting loneliness. I use reinforcement learning methods along with facial expression recognition and voice quality analysis for emotion recognition. With the help of these adaptation methods, I hope to explore the capabilities of these robots for detecting unique individual patterns and behaviors for improvement in health outcomes and positive interactions with members of our community. In my free time, I am interested in filmmaking and participating in debates.
My research interest lies in the confluence of artificial intelligence and human mental health analysis and prediction. My current research looks into the role of passive mobile and fitness sensors in developing the MoodRing application for detecting and predicting changes in adolescent depression. The aim of the project is to enable patients, caregivers, and parents with early intervention alerts to prevent the worsening of symptoms. This project is a reflection of the lab's goals to promote health and well being through intelligent learning of patterns and trends.
Personal site: https://tahsinmullick.github.io/
I am interested in modeling for complex, real-world systems. My research focuses on machine learning techniques for times series anomaly detection and risk prediction. I am especially interested in machine learning methods that can account for domain-based constraints or other types of domain knowledge; for example, in the identification and treatment of Parkinson's Disease, hospital readmission prediction, and in other health care applications. I also research techniques for reducing bias in models deployed in consequential real-world settings.
Personal site: https://mattlanders.net/
My research focuses on developing technology dedicated to supporting people's well-being, focusing on mental health and social wellness. To accomplish this, I hope to develop and utilize technology capable of detecting human emotion through sensors, machine learning, and human computer interaction. I plan to use these technologies to help people better understand their mental health and to communicate with others.
Anna Barrick, Research Coordinator
Alex Zummo, Research Programmer
Yusheng Jiang, Research Programmer
Alex Schmid Tyler Lynch Lauren Manuel Nicole Casco
Kiara Gan Yillin Huang Rachel Lew Jessie Li Youran Wu Jaijai Liang