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FRAC HIT ANALYSIS IN SHALES: WOODFORD, MERAMEC AND WOLFCAMP FORMATIONS
(2020-07)
Frac hit was initially coined to refer to the phenomenon when an infill well fracture interacts with the adjacent well during the hydraulic fracturing process. But, over the years, its use has been extended to any type of ...
Scaling up Labeling, Mining, and Inferencing on Event Extraction
(2022-05)
Numerous important events happen every day and are reported in different media sources with varying narrative styles across different knowledge domains and languages. Detecting the real-world events that have been reported ...
Theory-Guided Algorithm Design for Scalable Machine Learning
(2023-05-12)
My thesis focuses on designing scalable machine learning algorithms leveraging theoretical advances in mathematics. In particular, I investigate two directions where scalability plays an important role: fair machine learning ...
Machine learning for classifying biological radar echoes with S-band polarimetric radar
(2023-12-15)
The S-band WSR-88D weather radar is sensitive enough to observe biological
scatterers like birds and insects. However, their non-spherical shapes and frequent
collocation in the radar resolution volume create challenges ...
Application of Machine Learning to Multiple Radar Missions and Operations
(2022-08-04)
This dissertation investigated the application of Machine Learning (ML) in multiple radar missions. With the increasing computational power and data availability, machine learning is becoming a convenient tool in developing ...
Application of deep learning to optimize computer-aided-detection and diagnosis of medical images
(2023-12-15)
The field of medical imaging informatics has experienced significant advancements with the integration of artificial intelligence (AI), especially in tasks like detecting abnormalities in retinal fundus images. This ...
Protecting infrastructure networks from disinformation
(2023-05-12)
Massive amount of information shared on online platforms makes the verification of contents time-consuming.
Concern arises when the misleading or false information, called "disinformation", is exposed to many online ...
Machine learning for the subsurface characterization at core, well, and reservoir scales
(2020-05-08)
The development of machine learning techniques and the digitization of the subsurface geophysical/petrophysical measurements provides a new opportunity for the industries focusing on exploration and extraction of subsurface ...
Developing Novel Computer Aided Diagnosis Schemes for Improved Classification of Mammography Detected Masses
(2023-12-15)
Mammography imaging is a population-based breast cancer screening tool that has greatly aided in the decrease in breast cancer mortality over time. Although mammography is the most frequently employed breast imaging modality, ...
Statistical and deep learning methods for geoscience problems
(2021-12-15)
Machine learning is the new frontier for technology development in geosciences and has developed extremely fast in the past decade. With the increased compute power provided by distributed computing and Graphics Processing ...