cv

Computer Vision/Deep Learning Engineer

Mantis Grading

Lead engineer to develop computer vision algorithms and utilize state-of-the-art artificial intelligence methods to quantitatively evaluate card collections

• place holder

Research Scientist

Visual Intelligence Laboratory

place holderng

• place holder

Web Master

University of Iowa

place holderng

• place holder

Volunteer Fire Fighter

Crozet Volunteer Fire Department

place holder

• Fire Fighter 1 (06/30/2024)
• Hazardous Material (06/30/2024)
• Emergency Vehicle Operator I, II, III (08/18/2024)
• Driver/Pumper Operator (ongoing

Specialist

United Stated Army

place holder

• place holder

PhD

University of Virginia

Data Science

PhD (degree not acquired)

University of Iowa

Industrial and Systems Engineering

BS

University of Iowa

Mathematics

BS

University of Iowa

Computer Science

Lifetime Member

UVA Raven Society

Honored for superior academic and extra-curricular achievement (1 or 2 students selected out of ~100 MS and PhD students in UVA's School of Data Science). The Raven Society is the oldest and most prestigious honorary society at UVA. Selection is highly competitive and members in clude a former CEO of Prudential Financial (#67 on Fortune 500), John Strangfeld.

Best Poster Award

U. S. Association for Computational Mechanics

place holder

ISE Best Grad - 2020 College of Engineering Research Open House

School of Engineering, University of Iowa

place holder

Army Achievement Medal for QLLEX-E 19 mission

U.S. Army

PARC: Physics-aware recurrent convolutional neural networks to assimilate mesh scale reactive mechanics of energetic materials

Science Advance

place holder

challenges and opportunities for machine learning in multiscale computational modeling

Journal of Computing and Information Science in Engineering

place holder

Atrificial Intelligence approach for materials-by-design and their application to energetic materials: state-of-the-art, challenges, and future direction

Propellants, Explosives, Pyrotechnics

place holder

A Physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials

Propellants, Explosives, Pyrotechnics

place holder

Federated learning enables big data for rare cancer boundary detection

Nature Communications

place holder

Establishing the structure-property-performance linkage of pressed energetic materials using physics-aware recurrent convolutional neural networks (PARC)

Bulletin of the American Physical Society

place holder

A Novel AI-assisted framework for microstructure design of shock materials

Bulletin of the American Physical Society

place holder

Deep Learning for synthetic microstructure generation in a materials by design framework for heterogeneous energetic materials

Scientific Reports

place holder

NADS-Net: A nimble architecture for driver and seat belt detection via convolutional neural networks

International Conference on Compuber Vision (ICCV) - Autonomous Driving Workshop

place holder

Asphalt pavement crack detection based on deep learning

International Conference on Smart Cities

place holder