Balancing Teaching and Research
Lela Mirtskhulava experience in the realm of artificial intelligence is unique. She was the first to develop an artificial intelligence capable of diagnosing stroke patients: her prototype artificial intelligence distinguishes between stroke patients and normal subjects with > 99 percent accuracy. She has been honored with the Best Paper Award in 2013 at the University of Cambridge, UK. She was invited as a featured speaker at the AIMed 2017 and AIMed 2018 conferences in Los Angeles.
“I have been working for more than eight months as a Fulbright Research scholar at San Jose State University with the most amazing faculty and staff,” she said. “I enjoyed auditing the classes besides my research project thanks to Dr. Xiao Su giving me this opportunity. For academics, both teaching and research are such attractive and interconnected things. To promote the teaching processes as well as to advance our field requires much time devoted to research, publication and presentation. On the other hand, teaching is one of our primary obligations as a scholar. Only putting them both together makes it possible to reach the right balance in our academic life.”
She said at SJSU she has been able to prolong her research and teaching, while her daughter completes a full academic year at a local middle school. Her daughter has been inspired by her teachers while Mirtskhulava is inspiring her own set of students in the two courses she is teaching to postgraduate students; one on deep learning and one on system software.
“This gives me an excellent opportunity to teach the students and promote them to work on their research projects as it is required within these courses,” she said. “I’ve learned about SJSU’s teaching methodology by attending the classes as well as my experience of teaching at San Diego State University where I hold an associate professor position.”
Prototyping Artificial Intelligence
Mirtskhulava was a featured speaker at DataAI National Summit (DANS), Silicon Valley organized by American Association of Precision Medicine and presented the results of the project she is currently working on. The main idea of the project is brainwave monitoring that focuses on neurological monitoring which incorporates the monitoring of brainwaves electroencephalography (EEG). Ischemic stroke occurs as a result of disruption of cerebral blood flow which results in neuronal cell death. Brainwave monitoring over EEG has been a commonly used method in neurological monitoring to diagnose and monitor various neurological diseases such as ischemic stroke. In the given project, Android Neural Network (ANN) is designed and a direct neural interface (DNI) is implemented using NeuroSky’s EEG biosensor for brainwaves recognition. A mobile EEG monitor is connected to a patient’s smartphone over Bluetooth that can transmit real-time brainwave data.
Mirtskhulava is an associate professor of computer science at Ivane Javakhishvili Tbilisi State University in the country of Georgia as well as San Diego State University Georgia (a collaborative program between SDSU and Georgian partner universities that offers select STEM degrees). As a Fulbright Research Scholar, she is teaching part-time in the Charles W. Davidson College of Engineering this year. Mirtskhulava received her PhD in computer science. She has served in various capacities at several Georgian universities and has 15 years of industry work experience as an ICT senior engineer at Ericsson Ltd and Geocell LLC, Georgia. She Mirtskhulava was invited to the University of Cambridge in England to conduct the scientific workshops in 2013. She was the recipient of DAAD Scholarship Certificate in the scope of Academic staff exchange program, at Westsaxson University of Applied Sciences Zwickau, Germany in 2016. She has also developed a new curriculum in computer engineering and technologies at International Black Sea University, Georgia where she served as program coordinator of bachelor programs in Informatics and as a quality assurance manager at the same university. She participated in new program development in computer science for ABET at Ivane Javakhishvili Tbilisi State University. She is supervising master students and PhD students in Georgia.
Lela Mirtskhulava – Fulbright to USA 2018
Original article: https://blogs.sjsu.edu/newsroom/2019/18-19fulbright/