Research

My research revolves around NLP, Trustworthy AI, and AI for Health. Items below expand on click.

AI Ethics
  1. David Oniani, Jordan Hilsman, Yifan Peng, Ronald K. Poropatich, Jeremy C. Pamplin, Gary L. Legault, Yanshan Wang. Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. npj Digital Medicine (2023).

AI Evaluation
  1. Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh Jain, Amir M. Rahmani. Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. Under Review at npj Digital Medicine (2023).

  2. David Oniani, Sreekanth Sreekumar, Renuk DeAlmeida, Dinuk DeAlmeida, Vivian Hui, Young Ji Lee, Yiye Zhang, Leming Zhou, Yanshan Wang. Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models. AMIA Informatics Summit (2023).

  3. David Oniani, Yanshan Wang. A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19. ACM-BCB (2020).

AI Infrastructure
  1. David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Jonathan Silverstein, Michael Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang. ReDWINE: A Clinical Datamart Prototype with Text Analytical Capabilities to Facilitate Rehabilitation Research. International Journal of Medical Informatics (2023).

Large Language Models (LLMs) / Few-Shot Learning (FSL) / In-Context Learning (ICL)
  1. David Oniani, Jordan Hilsman, Hang Dong, Fengyi Gao, Shiven Verma, Yanshan Wang. Large Language Models Vote: Prompting for Rare Disease Identification. Under Review at LREC-COLING (2023).

  2. David Oniani, Premkumar Chandrasekar, Sonish Sivarajkumar, Yanshan Wang. Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study. JMIR AI (2023).

  3. David Oniani, Junmei Wang, Jordan Hilsman, Chengxi Zang, Lianjin Cai, Jan Zawała, Yanshan Wang. Topic: Facilitating Drug Discovery Using Large Language Models. In Preparation for Nature Communications.

  4. David Oniani, Yanshan Wang. In-Context Learning Functions with Varying Number of Minima. In Preparation for ICML.

Graph Neural Networks / AI Methods for Graphs
  1. David Oniani, Guoqian Jiang, Hongfang Liu, Feichen Shen. Constructing Co-occurrence Network Embeddings to Assist Association Extraction for COVID-19 and Other Coronavirus Infectious Diseases. JAMIA (2020).

  2. David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen. Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features. arXiv (2021).

  3. David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen. Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping. arXiv (2021).

Teaching Computer Science
  1. Roman Yasinovskyy, Karina Hoff, David Oniani. Setting Up Python Development Environment for Use in a Small Classroom. Midwest Instruction and Computing Symposium (2020).

Literature Review
  1. Sonish Sivarajkumar, Haneef Ahamed Mohammad, David Oniani, Kirk Roberts, William Hersh, Hongfang Liu, Daqing He, Shyam Visweswaran, Yanshan Wang. Clinical Information Retrieval: A scoping review. Journal of Healthcare Informatics Research (2024).

  2. Anusha Bompelli, Yanshan Wang, Ruyuan Wan, Esha Singh, Yuqi Zhou, Lin Xu, David Oniani, Bhavani Singh Agnikula Kshatriya, Joyce (Joy) E. Balls-Berry, Rui Zhang. Social and Behavioral Determinants of Health in the Era of Artificial Intelligence with Electronic Health Records: A Scoping Review. Health Data Science (2021).

  3. David Oniani, Ramesh Jain, Minal Moharir, Jia Li, Yanshan Wang, et al. Topic: Artificial Intelligence and Precision Nutrition. In Preparation for Nature Food.

Algorithmic and Rule-Based Methods
  1. Haneef Ahamed Mohammad, Sonish Sivarajkumar, Samual Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang. Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing. arXiv (2022).

Topology / Type Theory / Other
  1. David Oniani. The Topology of Robotic Configuration and Motion Planning. (2019).

  2. David Oniani. Type Inference Rules For Container Types in CCL. (2019).

  3. David Oniani. Textual and Statistical Analysis of Russian IRA Facebook Advertisements. (2019).

  4. David Oniani. Cosine Similarity and Its Applications in the Domains of Artificial Intelligence. (2020).