Academic Family led by Prof. Amit Sheth and #AIISC faculty
This group is for communicating and coordinating with the potential or selected Ph.D. students (2020 batch) and interns working with the AI Institute.
Discussions on Deep Learning and related subjects at the UofSC AI Institute/CSE Dept. #AIISC
Health focused information extraction using natural language processing, knowledge graphs and deep machine learning.
This interdisciplinary Computer Science/Cognitive Science course explores how to build future intelligent systems following the vision paper.
This group is about explanable AI and includes the topic of causality and interpretability.
AI Institute chatbot-related research and discussion platform.
Personalized Digital Health, Augmented Personalized Health (APH), Smart Healthcare
This group includes our research related to Addiction, mental health-related studies on Social Media and the Dark web. In this context please see the below NIH funded projects for our Preliminary work at http://wiki.aiisc.ai/index.php/EDrugTrends
eDrugTrends: an interdisciplinary project between the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) and the Center for Interventions, Treatment and Addictions Research (CITAR) at Wright State University developed to monitor cannabis and synthetic cannabinoid use.
eDarkTrends : Monitoring Cryptomarkets to Identify Emerging Trends of Illicit Synthetic Opioids Use is an inter-disciplinary project between the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) and the Center for Interventions, Treatment and Addictions Research (CITAR) at Wright State University developed to monitor illicit online transactions of several illicit synthetic opioids in dark web.
This group discusses the topics at topics at the intersection of Neuroscience and AI, and neuroscience inspired AI.
This group discusses various topics involving social media analysis including social good applications, misinformation/disinformation/fake news, and toxicity (e.g., harassment, abusive content) on social media.
This group discusses all our AI research with focus on mental health (depression, anxiety, suicice).