![]() ![]() Yanfang Ye ( ), Shifu Hou, Yujie Fan, Yiyue Qian, Yiming Zhang, Shiyu Sun, Qian Peng, Kenneth Laparo. The developed system, paper and the generated benchmark datasets have been made publicly accessible through our website. The system has receiving a lot of good feedback from the media (e.g., WKYC, Ideastream, NPR, Fox8, WTAM, GovTech, etc.) and users on the ease of use as well as the utility of dynamic risk estimations. The large number of its users indicate the high demand from the public for effective computational tools to assist people with actionable strategies. After we launched our system for public tests, it has had 500,321 users as of June 29, 2022. More specifically, given a specific location (either user input or automatic positioning), the developed system will automatically provide risk indices associated with it in a hierarchical manner (e.g., state, county, specific location) to enable individuals to select appropriate actions for protection while minimizing disruptions to daily life to the extent possible. By advancing capabilities of artificial intelligence (AI) and leveraging the large-scale and real-time data generated from heterogeneous sources, as an initial offering, we have proposed and developed an AI-driven system (named alpha-Satellite) since early pandemic, to provide hierarchical community-level risk assessment to assist with the development of strategies for combating the fast evolving COVID-19 pandemic. A growing number of areas reporting local sub-national community transmission would represent a significant turn for the worse in the battle against the novel coronavirus, which points to an urgent need for expanded surveillance so we can better understand the spread of COVID-19 and thus better respond with actionable strategies for community mitigation. The novel coronavirus and its deadly outbreak have posed grand challenges to human society the World Health Organization (WHO) characterized coronavirus disease (COVID-19) a global pandemic.An AI-driven System for Real-time COVID-19 Risk Assessment If you are a well motivated and dedicated student pursuing a Ph.D.ĭegree or postdoc related to the areas of Cybersecurity, Data Mining, Machine Learning, and Health Intelligence, please send me an email with your CV.Īlpha-Satellite: Help Combat COVID-19 in the U.S. students and Postdocs doing supervised research or independent study with me in the CSE department at Notre Dame. I am currently looking for multiple Ph.D.Position Openings: To Perspective Students and Postdocs I have received multiple awards from the NSF and DoJ/NIJ in support of my research. I recently received the ACM CIKM 2021 Best Paper Award (Full Paper Track), the ACM CIKM 2021 Best Paper Award Runner Up (Applied Paper Track), the CSE Innovation Award (2020-2021) and the CSE Research Award (2019-2020) at CWRU, the MetroLab Innovation of the Month (2020), the NSF Career Award (2019), the IJCAI Early Career Spotlight (2019), the AICS 2019 Challenge Problem Winner, the ICDM 2018 Outstanding Service Award, the SIGKDD 2017 Best Paper Award and SIGKDD 2017 Best Student Paper Award (Applied Data Science Track), the IEEE EISIC 2017 Best Paper Award, and the New Researcher of the Year Award (2016-2017) at WVU. I have had over 100 publications in my fields (e.g., ACM CSUR, IEEE TNNLS, IEEE TKDE, IEEE TSMC, SIGKDD, ICDM, In recent years, I have expanded my research on health intelligence with the focus on combating opioid crisis and infectious disease outbreaks. With long-term and strong collaboration with industry partners, I have proposed and developed cloud-based solutions for mining big data in the area of cybersecurity, especially for malware detection and adversarial machine learning. My research areas mainly include Cybersecurity, Data Mining, Machine Learning, and Health Intelligence. Schroeder Associate Professor in the department of Computer and Data Sciences (CDS) at Case Western Reserve University (CWRU). Before joining Notre Dame, I was the Theodore L. I am currently the Collegiate Associate Professor of Computer Science and Engineering in the Department of Computer Science and Engineering (CSE) at the University of Notre Dame.
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