CS Tea: Bijaya Adhikari (Iowa CS)
Abstract: As patients seek care, they are simultaneously being exposed to several Hospital Acquired Infections (HAIs) including Clostridioides difficile infections (CDI), Methicillin-resistant Staphylococcus aureus infections (MRSA), and, as evidenced by outbreaks in several long-term care facilities, even COVID-19. An HAI outbreak within a healthcare facility inflicts a significant burden on human health as well as economic costs on healthcare providers; in fact, CDC estimates the cost of battling HAIs to be between 28 and 45 billion USD in the USA alone. Fortunately, early detection coupled with effective preventative measures can help mitigate both health and economic risks of future outbreaks. This talk presents data driven solutions for both surveilling and mitigating HAI risks by leveraging mobility data obtained from hospital operations.
Biography: Bijaya Adhikari is an Assistant Professor of computer science at the University of Iowa. He has a PhD and a master's degree in computer science from Virginia Tech. He research interest lies at the intersection of AI/ML/DataScience and epidemiology. He builds new algorithms/models/ deep learning architectures incorporating domain knowledge to solve real world problems. He has published at both top data mining and epidemiological venues such as SIGKDD, ICDM, WWW, SDM, AAAI, AAMAS, PAKDD, BIGDATA, PLOS Comp Bio, IEEE ICHI, and so on.
(Note: the audience will be gathered together in Olin 306; the speaker will be presenting remotely.)