Isaac Gerg

Isaac D. Gerg, Ph.D.

AI Scientist — ClimateAI

I work at the intersection of machine learning, signal processing, and remote sensing — building AI systems that extract meaningful information from complex sensor data. My current focus is applying cutting-edge ML and AI to long-term weather prediction, modeling climate risk across agriculture and finance. I also study mammalian intelligence to inform novel AI methodologies.

With over 20 years of professional experience spanning software engineering, systems engineering, and principal investigator roles, I bridge deep theoretical foundations with practical, deployable solutions. I completed my Ph.D. at Penn State while working full time, which shaped my ability to rapidly translate theoretical breakthroughs into real-world impact.

I have led programs for DARPA, ONR, and NavSEA, and provided significant technical execution on programs for DTRA, AFRL, and several intelligence agencies.


Education & Career

2000 2004 2008 2012 2016 2020 2025
Education
Schreyers (PSU)
B.S.
Aug 2004
Penn State
M.S.
2008
Penn State (PSU)
Ph.D.
2022
Career
Raytheon
Penn State ARL
Kitware
Navy Nuclear Lab (DOE)
Raytheon
Penn State ARL
NATO CMRE (sabbatical)
Kitware
ClimateAI

Research Interests

Remote Sensing & AI

Applying machine learning to extract actionable intelligence from sonar, radar, and other sensor modalities.

Signal Processing

Integrating classical signal processing theory with modern deep learning for robust sensor data analysis.

Mammalian Intelligence

Studying how biological intelligence emerges to inspire novel architectures and learning algorithms.


Selected Publications

Weather Data in Consumer Spending Prediction
J. Retailing & Consumer Services · 2025
The Substantial Role of Weather Data in Consumer Spending Prediction: A Robust Machine Learning Assessment
I. D. Gerg, A. M. Tashie, A. Patanaik, E. Koester, H. Gupta, D. J. Farnham
Low-Shot Learning for SAS
IEEE OCEANS · 2025
Low-Shot Learning for Synthetic Aperture Sonar Image Classification Using Hierarchical Pretraining & AirSAS
I. D. Gerg, A. Lynch, T. E. Blanford
Phase Retrieval for Acoustic Classification
2025
Are Magnitude-Only Spectrograms Sufficient for Acoustic Classification in PAM? A Phase Retrieval Perspective
I. D. Gerg, P. McAfee, T. E. Blanford
Deep Adaptive Phase Learning
IEEE JSTARS · 2024
Deep Adaptive Phase Learning: Enhancing Synthetic Aperture Sonar Imagery Through Learned Coherent Autofocus
I. D. Gerg, D. A. Cook, V. Monga
Progressive Diffusion Autofocus
IGARSS · 2024
Progressive Diffusion Autofocus for Synthetic Aperture Sonar Imagery
B. V. Bingol, I. D. Gerg, V. Monga
Uncovering Bias in Building Damage Assessment
IGARSS · 2024
Uncovering Bias in Building Damage Assessment from Satellite Imagery
D. Melamed, C. Johnson, I. D. Gerg, et al.
Metamers in Deep Learning for SAS
Acoustical Society of America · 2024
Metamers in Deep Learning for Synthetic Aperture Sonar Image Classification & Their Significance in Understanding Deep Networks
I. D. Gerg, C. Cotner
Erroneous Labels on SAS Classifier Performance
Institute of Acoustics · 2023
Exploring the Impact of Erroneous Labels on Synthetic Aperture Sonar Classifier Performance
I. D. Gerg, B. E. Cowen
Structural Prior Driven Regularized Deep Learning
IEEE TGRS · 2022
Structural Prior Driven Regularized Deep Learning for Sonar Image Classification
I. D. Gerg, V. Monga
Deep Multi-Look Sequence Processing for SAS Segmentation
IEEE TGRS · 2022
Deep Multi-Look Sequence Processing for Synthetic Aperture Sonar Image Segmentation
I. D. Gerg, V. Monga
Real-Time Deep SAS Autofocus
Best Paper Finalist
IGARSS · 2021
Real-Time, Deep Synthetic Aperture Sonar (SAS) Autofocus
I. D. Gerg, V. Monga
Learnable Image Compression for SAS
Best Paper Finalist
OCEANS · 2021
A Learnable Image Compression Scheme for Synthetic Aperture Sonar Imagery
I. D. Gerg
GPU Acceleration for SAS Image Reconstruction
Global OCEANS · 2020
GPU Acceleration for SAS Image Reconstruction
I. D. Gerg
Coupling Rendering and GANs for Artificial SAS Image Generation
OCEANS · 2019
Coupling Rendering and GANs for Artificial SAS Image Generation
I. D. Gerg

Personal Projects

REMUS RLF Reader
Python · GitHub
REMUS-100 AUV Run Log File Reader
Python parser for REMUS-100 AUV binary run log files, reverse-engineered from the Makua Beach dataset. Parses RLF, ADCP, GPS, and RMF formats.
SAS Autofocus
Python · 18 stars · GitHub
Synthetic Aperture Sonar Autofocus
Compares standard Phase Gradient Autofocus (PGA) with Shadow PGA for SAS imagery, focusing on shadow regions rather than bright reflectors.
MATLAB Hyperspectral Toolbox
MATLAB · 115 stars · GitHub
MATLAB Hyperspectral Toolbox
Comprehensive toolbox for hyperspectral image processing and analysis, originally developed for Penn State thesis work on endmember extraction algorithms.
uBiome Longitudinal Analysis
Python · 13 stars · GitHub
uBiome Longitudinal Microbiome Analysis
Longitudinal analysis and visualization of gut microbiome composition over time using uBiome sequencing data, including heatmaps, diversity indices, and cluster analysis.


Contact

isaac.gerg@gergltd.com