Joel Nicolow

Interests

Machine Learning , Computer Vision , Deep Learning , Robotics , Environmental Science

Skills

Languages and Frameworks: Python, Pytorch, TensorFlow, scikit-learn, R

Toolsets: Git/GitHub, SLURM, QGIS

Education

University of Hawaii at Manoa, Honolulu, HI

M.S., Computer Science

  • Machine Learning Fundamentals
  • Advanced Artificial Intelligence
  • Deep Learning
  • Machine Learning Paper Discussion Seminar
  • Probability and Statistics Topics Seminar

2024 - Present

University of Hawaii at Manoa, Honolulu, HI

B.S. with Honors, Computer Science

  • Algorithms
  • Database Systems
  • Big Data Analytics
  • Data Science Fundamentals
  • Introduction to Machine Learning
  • Machine Learning Fundamentals
  • Machine Learning Paper Discussion Seminar
  • Probability and Statistics
  • Calculus (full series)
  • Linear Algebra

2019 - 2024

Work

Graduate Research Assistant, Climate Resilience Collaborative, University of Hawaii at Manoa

www.soest.hawaii.edu/crc/

  • Training and evaluating U-net and other convolution-based image segmentation models in Pytorch and TensorFlow to segment coastal features such as beach area and the land/water interface.
  • Created an open-source Python Framework named CoastVision which downloads PlanetScope imagery for a given area of interest, then segments the shoreline in each image
  • CoastVision framework was used to measure coastal erosion rates across the island of Oahu which are used to inform policy decisions

2024 - Present

Machine Learning Engineer, Water Resources Research Center, University of Hawaii at Manoa

www.wrrc.hawaii.edu/

  • Training and evaluating image classification and regression models with ResNet backbones in Pytorch
  • Predicting fog presence and visibility from trail camera images on Hawaiian mountains using these models

2024 - Present

Undergraduate Researcher, Hawaii Established Program to Stimulate Competitive Research Change(HI)

hawaii.edu/epscor/research/

  • Training and evaluating image classification and regression models with ResNet backbones in Pytorch
  • Trained and evaluated machine learning models using Scikit-learn to classify fog presence in trail camera images based on engineered image features
  • Poster presentation at the 2023 American Geophysical Union’s Fall Meeting in San Francisco
  • Poster Presentation at the 20204 Hawaii Conservation Conference
  • Awarded Outstanding Undergraduate Student Poster Presentation at the 2024 Hawaii Conservation Conference

2023 - 2024

Undergraduate Researcher, The University of Hawaii Manoa, Honolulu Community College

hawaii.edu/epscor/research/

  • Trained and evaluated machine learning models using Scikit-learn to classify fog presence in trail camera images based on engineered image features
  • Created Python framework to process relative humidity, temperature, and dew point data from multiple meteorologic stations
  • Successfully attained funding from the Associated Students of the University of Hawaii
  • Poster Presentation at the 20204 Hawaii Conservation Conference
  • Co-author on published poster in the Hawai‘i Conservation Conference July 2022
  • Co-author on published poster in the American Geophysical Union December 2022

2021 - 2023

Research Assistant, Pacific Health Analytics Collaborative, University of Hawaii Manoa

hawaii.edu/epscor/research/

  • Created R frameworks to automate web scraping of data dashboards
  • Generated aggregate data tables from observation-level data using LaTex and R
  • Helped develop the Hawaii Behavioral Health Dashboard using R, Power BI, JavaScript, HTML, and CSS
  • Co-author on Hawaii Opioid Initiative Evaluation Report 2020
  • Co-author on Hawaii State Plan for a Data-Driven System of Care on Substance Use 2022

2019 - 2022

Activities

Loʻi (kalo farm) in Kailua, Hoʻokuaʻāina

hookuaaina.org/

During the summer of 2022 while living in Kailua I went to Hoʻokuaʻāina when I had available days because Hawaiʻi's food sustainability and mālama ʻāina are very important to me.

2022 - 2022

Awards

Outstanding Undergraduate Student Poster Presentation Award, Hawaiʻi Conservation Alliance & The Wildlife Society: Hawaiʻi Chapter

I was honored to be awarded the ‘Outstanding Undergraduate Student Poster Presentation’ award at the 2024 Hawaiʻi Conservation Conference for my poster 'A Machine Learning Method for Detecting Fog in Mountain Trail Camera Images'

August 1st, 2024

Research Award, Associated Students of the University of Hawaiʻi

Research award obtained to finance trail cameras for meteorologic research on Mount Kaʻala

Spring 2021

Project funding, Undergraduate Research Opportunities Program, University of Hawaiʻi at Mānoa

Project funding for research on import taxation in the Pacific

Fall 2020

References

Available upon request