Edmon Begoli's Home Page

Joint Faculty Professor (JFA) of Computer Science at Electrical Engineering and Computer Science, University of Tennessee, Knoxville specializing in distributed, resilient AI/ML systems for structured and text data analysis.

Professional appointment / home institution: Section Head / Distinguished Scientist, ORNL.

Contact information:

Oak Ridge National Laboratory

1 Bethel Valley

Oak Ridge National Laboratory (ORNL)

Oak Ridge, TN 37831

E-mail: begolie@ornl.gov Phone:865.226.9605

Courses

ECE 599/692 Adversarial AI Methods

COSC 524 Natural Language Processing

ECE 692 Adversarial Learning

ECE 692 Special Topics in Natural Language Processing

ECE 691 Scalable and Resilient AI/ML Systems, Spring 2020

ECE 691 Scalable Data Analytics, Fall 2019

Research

Projects

Select Publications

• Edmon Begoli, Tyler Akidau, Fabian Hueske, Julian Hyde, Kathryn Knight, and Kenneth Knowles. 2019. One SQL to Rule Them All -- an Efficient and Syntactically Idiomatic Approach to Management of Streams and Tables: An Industrial Paper. In Proceedings of ACM SIGMOD conference (SIGMOD 2019). ACM, New York, NY, USA, Article 4, 16 pages.
• Begoli, E., Bhattacharya, T., & Kusnezov, D. (2019).The need for uncertainty quantification in machine-assisted medical decision making. Nature Machine Intelligence. Nature Machine Intelligence volume 1, 2023, DOI: https://doi.org/10.1038/s42256-018-0004-1.
• van Wyk, Franco, Anahita Khojandi, Akram Mohammed, Edmon Begoli, Robert L. Davis, Rishikesan Kamaleswaran. (2018).A Minimal Set of Physiomarkers in High Frequency Real-Time Physiological Data Streams Predict Adult Sepsis Onset Earlier. International Journal of Medical Informatics
• Begoli E., Brown K., Srinivas S., and Tamang S., (December, 2018) SynthNotes: A Generator Framework for High-volume, High fidelity Synthetic Mental Health Notes, Proceedings of the 2018 International Conference on Management of Data (Big Data), Seattle, Washington, USA.
• Begoli E., Mior M., Camacho-Rodriguez J., Hyde J., Lemire D. (2018, June) Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources, Proceedings of the 2018 International Conference on Management of Data (SIGMOD 2018), Houston, Texas, USA.
• Begoli E., Frasure C., Dunning T. (2016, March) Real-Time Discovery Services over Heterogeneous, Schema-less, and Complex Healthcare Datasets, In 2016 IEEE Big Data Services, Exeter College, Oxford UK