First cohort of IDIA predoctoral fellows join IDIA community
The recently announced introductory IDIA Predoctoral Fellows cohort includes Facundo Nicolas Airaudo, College of Science, who seeks to identify optimal HVAC outlay to minimize pathogen transmission. Mason Science faculty Harbir Antil, Professor, Mathematical Sciences and Rainald Lohner, Professor, Physics and Astronomy will mentor Airaduo, while Hamdi Kavak, Assistant Professor, Computational and Data Sciences will mentor Jinyi Kim, School of Computing, studying approaches to measuring risks for positive youth outcomes.
The fellows are embarking on ambitious, convergent, and transdisciplinary research agendas to improve the wellbeing of our society, help us become more climate resilient, improve our ability to respond to pandemics, and advance our digital infrastructure. They have gathered around themselves supportive teams of faculty bringing together various perspectives, domain, and disciplinary expertise.
IDIA announced its Predoctoral Fellowship Program in June 2022. The response from our graduate students was highly enthusiastic. All applications were reviewed by a panel of many experts spread across diverse disciplines in the various units and centers at George Mason University. The application pool was highly competitive, which speaks strongly to the quality of research and of our graduate students at Mason.
IDIA 2022 predoctoral fellows:
Facundo Nicolas Airaudo, College of Science
Project: Optimal HVAC Outlay to Minimize Pathogen Transmission
Team of Faculty Mentors: Rainald Lohner, College of Science; Harbir Antil, College of Science; Juan Raul Cebral, School of Engineering
Soelem Aafnan Bhuiyan, School of Engineering
Project: Project Title: Developing a Data Assimilation Technique to Improve the Monitoring and Forecasting of Coastal Hazards
Team of Faculty Mentors: Viviana Maggioni, School of Engineering; Celso Ferreira, School of Engineering
Jinyi Kim, School of Computing
Project: A Multi-level Approach to Measuring Risks for Positive Youth Outcomes
Team of Faculty Mentors: Myeong Lee, School of Computing; JoAnn Lee, College of Health and Human Services; Hamdi Kavak, College of Science
Michael Timothy Crawshaw, School of Computing
Project: Multiple Guarantees in Distributed Deep Learning: Computation, Communication, and Sample Efficient Algorithms
Team of Mentors: Mingrui Liu, School of Computing; Wanli Qiao, School of Computing; Ozlem Uzuner, School of Computing
