Please join us for a special Biomedical Data Science Grand Rounds with Meenalosini Vimal Cruz, M.Sc., M.Phil., M.Tech., Ph.D., Assistant Professor of Computer Science at Keene State College on Tuesday, December 15 at 12:00 p.m. via Zoom!

Talk title: "Hybridization of Machine Learning Techniques in Brain-Computer Interface Research”

Location: Zoom (no registration required) 

Webinar URL: 

https://dartmouth.zoom.us/j/93209691501?pwd=eFpYN0g4WHJZVkRBc0ZKalZZSWo3QT09

Meeting ID: 932 0969 1501

Password: 207213

Host: Saeed Hassanpour, Ph.D.

Talk Summary 

Being able to control one's environment through thoughts is no longer a fictional story with the emergence of the brain-computer interface (BCI). BCI research focuses on reading and analyzing brain signals, translating them into commands, and feeding them back to the brain to carry out the desired action. This would pave the way to help people with physical challenges in different ways, like assisting in communication such as interpreting one's thoughts to message and control physical devices like a wheelchair. In the BCI-AI lab at Keene State College, we are working on localizing the pain signal by analyzing brain waves. In this talk, I will cover the basics of machine learning, an introduction to BCI research, applications of machine learning in BCI research, and the latest trends in BCI research. 

Biography

Dr. Meenalosini Vimal Cruz is an assistant professor of computer science at Keene State College. She completed her PhD in computer science engineering in 2014 at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. Dr. Vimal Cruz also received her Master of Technology in Computer and Information Technology from Manonmaniam Sundaranar University, where she was honored with a gold medal for securing first rank in her class. She also completed a Master of Philosophy and a Master of Science in physics at Madurai Kamaraj University. Dr. Vimal Cruz has published more than 10 papers in reputed international journals. As part of her PhD training, Dr. Vimal Cruz worked on designing a computer-aided diagnostic tool to detect breast cancer cells automatically in mammograms. Dr. Vimal Cruz has worked on developing deep learning algorithms to identify skin cancer and analyze brain tissues, and her research team has developed a chatbot for Keene State College that provides automated customer care support for the institution. Dr. Vimal Cruz has mentored 7 students in various data science research projects, and her current research focuses on brain-computer interface methods to analyze EEG signals using machine learning techniques, and this work is funded by NIH-INBRE. Dr. Vimal Cruz’s areas of specialization are computer vision, machine learning/deep learning, and brain-computer interface technology.