Robert Spiers

  • Program Year: 1
  • Academic Institution: University of Delaware
  • Field of Study: Physics of the Universe
  • Academic Advisor: Arijit Bose
  • Practicum(s): Practicum Not Yet Completed
  • Degree(s):
    B.S. Physics, Idaho State University, 2022

Publications

PAPERS:
R. Spiers, J. Kalivas: Calibration Model Updating to New Sample and Measurement Conditions without Reference values, Analytical Chemistry, doi: 10.1021/acs.analchem.1c00578 (2021).
R. Spiers, J. Kalivas: Reliable Model Selection without Reference Values by Utilizing Model Diversity with Prediction Similarity, J. Chem. Inf. Model., doi: 10.1021/acs.jcim.0c01493 (2021).
E. Struhs, S. Hansen, A. Mirkouei, M. Ramirez-Corredores, K. Sharma, R. Spiers, J. Kalivas: Ultrasonic-Assisted Catalytic Transfer Hydrogenation for Upgrading Pyrolysis-oil, Ultrasonics Sonochemistry, doi: 10.1016/j.ultsonch.2021.105502 (2021).

TALKS:
R. Spiers, J. Kalivas: Local Modeling by Classification of Matrix Effects, FACSS SciX, Providence, RI, 2021. (Oral speaker)
R. Spiers, J. Kalivas: Unsupervised Classification of Samples by Matrix Effects for Local Modeling, Road to Chemometrics in Analytical Chemistry, Rome, Italy [online], 2021. (Oral speaker)
R. Spiers, J. Kalivas: Automatic Selection of Models Updated to New Sample and Measurement Conditions Using Unlabeled Samples, FACSS SciX Research Conference, Reno, NV [online], 2020. (Oral speaker)
R. Spiers, J. Kalivas: Model Updating and Selection Frameworks without Reference Values (Calibration Standards), ACS National Fall Meeting, [online], 2020. (Oral speaker)

POSTERS:
R. Spiers, A. Bose: Analytic model for magnetized ICF implosions to determine temperature profiles for NIF experiments, OLUG 2023 Workshop, Rochester, NY, 2023.
R. Spiers, J. Kalivas: What Does It Mean for Samples to Be Similar? Comprehensively Characterizing Similarity for Spectral Data, FACSS SciX, Providence, RI, 2021.
R. Spiers, J. Kalivas: Stop Sending Samples 'Off to the Lab' for Analysis: A Machine Learning Solution, Idaho Conference for Undergraduate Research, Boise, ID [online], 2021.
R. Spiers, J. Kalivas: Advancing Chemical Analysis for the Consumer and Industry, Posters on the Hill, Council for Undergraduate Research, Washington, D.C. [online], 2021.
R. Spiers, J. Kalivas: Extracting Matrix Matched Samples from Large Spectral Libraries for Local Multivariate Calibration, FACSS SciX, Reno, NV [online], 2020.
R. Spiers, J. Kalivas: Multivariate Calibration Domain Adaptation with Unlabeled Data, Idaho Conference for Undergraduate Research, Boise, ID [online], 2020.
R. Spiers, J. Kalivas: Using Model Diversity and Prediction Similarities of Unlabeled Samples for Model Selection of Multivariate Calibration Updating Methods, FACSS SciX, Palm Springs, CA, 2019.
R. Spiers, J. Kalivas: Harnessing Model Diversity and Prediction Similarity for Predicting Multivariate Calibration Tuning Parameters, Idaho Conference for Undergraduate Research, Boise, ID, 2019.

Awards

Outstanding Student Award, Idaho State University, 2022.
Undergraduate Award in Applied Spectroscopy, Society of Applied Spectroscopy, 2021.
First prize of Student Poster Award, FACSS SciX Conference, 2019.
Posters on the Hill Winner, Council for Undergraduate Research, 2021.
Dean's List, Idaho State University, 2018-2022.