Mentees

I enjoy working with students of all ages and make an effort to mentor the next generation each year. I have served as a mentor for eleven students across four programs (DAGSI, LEGACY, SMART, Wright Scholar).

Mentee Highlights

Isaiah Christopherson

Wright Scholar Research Assistant 2023 & 2024

Projects incorporated into AIAA DCASS presentation, a 2024 ACM SIGMIS CPR paper, and a 2025 IEEE NAECON paper

Jacqueline Liu

SMART Scholar 2025

Project incorporated into 2025 SDIP Final Review and AFRL Discover posters

Addam Jensen

DAGSI Fellow 2025 - 2026

Pursuing M.S. in Computer Science & Engineering from Ohio State University

Isaiah Goble

LEGACY Jr. Apprentice 2024 & 2025

Projects incorporated into two AIAA DCASS presentations, an IEEE NAECON paper, and anIEEE TCDS paper

Olivia Ben Aoumeur

SMART Scholar 2026

Pursuing Ph.D. in information sciences at Albany University (SUNY)

Derick Cox

DAGSI Fellow 2024 - 2026

Project incorporated into 2026 NARST presentation

James Pennington

DAGSI Fellow 2025 - 2028

Pursuing Ph.D. in computer science at Ohio University


Defense Associated Graduate Student Innovators (DAGSI) Fellows

DAGSI fellows are graduate students competitively selected to work with a mentor for 1-3 years on a research project related to their degree.

Carson Bartholic, Ph.D. in computer science at Ohio University (2030)
  • 2026 - 2030 Project: Uncrewed aerial vehicles (UAV) detection using neuromorphic solutions
Davin Dillon, Ph.D. in computer science at Ohio University (2029)
  • 2026 - 2030 Project: Reinforcement learning guided by analogical graph neural networks (GNNs)
Zachary Sensel, M.S. in electrical engineering at Wright State University (2028)
  • 2026 - 2028 Project: Situationally aware, intent-based sensor fusion and generative AI
James Pennington, Ph.D. in computer science at Ohio University (2027)
  • 2025 - 2027 Project: Advanced multi-platform and multi-source fusion
Addam Jensen, M.S. in computer science and engineering at Ohio State University (2026)
  • 2025 - 2026 Project: Reinforcement learning with analogical transfer
Derrick Cox, Ph.D. in computer science at Wright State University (2026)
  • 2024 - 2026 Project: Event sequence learning from textual scenarios (incorporated into 2026 NARST presentation & IEEE TCSS paper, in review)

Leadership Experience Growing Apprenticeships Committed to Youth (LEGACY) Program

LEGACY interns are rising high school juniors/seniors or collegiate students who are paired with a mentor for a summer internship.

Isaiah Goble, B.S. in computer engineering at Bowling Green State University (2030)
  • 2025 Project: Development of machine-interpretable knowledge graph datasets from analogies (incorporated into ISER paper, in review)
  • 2024 Project: Evaluation and comparison of large language models’ analogical reasoning abilities (incorporated into IEEE TCDS Paper)

Science, Mathematics and Research for Transformation (SMART) Scholars

Mentees are assigned to a mentor throughout their degree while summer interns are assigned to a mentor for a 8-12 week project during the summer.

Mentee(s)

Olivia Ben Aoumeur, Ph.D. in information science at the University of Albany (SUNY) (2029)

Summer Intern(s)

Olivia Ben Aoumeur, Ph.D. in information science at the University of Albany (SUNY) (2029)
  • 2026 Project: Characterization of the SAMPLE-R (SAMPLE by RAPTOR) dataset
Jacqueline Liu, Ph.D. in computer science at Binghamton University (SUNY) (2027)
  • 2026 Project: Development of real-world and synthetic HSI datasets for anomaly detection
  • 2025 Project: Efficient Hyperspectral Data Processing on the Edge: Band Selection with Mamba Models (incorporated into IEEE JSTARS paper, in review)

Wright Scholars Research Assistant Program

Wright Scholars are high school juniors/seniors or collegiate freshmen/sophomores who are paired with a researcherer for a summer internship.

Isaiah Christopherson, B.S. electrical engineering at Miami University (OH) (2028)
  • 2024 Project: Optimizing algorithm pre-processing steps and analyzing convolutional neural network performance (incorporated into 2025 IEEE NAECON Paper)
  • 2023 Project: Leveraging generative AI and human factors techniques for building image datasets (shared project; incorporated into 2024 ACM SIGMIS CPR Conference Paper)
Arya Gadre, B.S. economics at Ohio State University (2028)