Daniel Nolte

Research Assistant & Ph.D. Candidate at Texas Tech University

Research Expertise

Machine Learning

Deep Learning

Electrical and Electronic Engineering

Structural Biology

Molecular Biology

Computer Science Applications

Genetics

About

Nearly 5 years of research experience focusing on machine learning and deep learning algorithm development tailored for medical and privacy-preserving applications.

Legacy Map

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Publications

Trade-off on Detection Range and Channel Usage for Moving Target Tracking using FSK Radar

2020 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT)

2020

Active Shooter Detection in Multiple-Person Scenario Using RF-Based Machine Vision

IEEE Sensors Journal

2021

Federated learning framework integrating REFINED CNN and Deep Regression Forests

Bioinformatics Advances

2023

Quantifying Deep Learning Model Uncertainty in Conformal Prediction

Unknown Venue

2024

Education

Texas Tech University

PhD, Electrical and Computer Engineering

Lubbock

Texas Tech University

Master of Science, Electrical and Computer Engineering / May, 2022

Lubbock

Texas Tech University

Bachelor of Science , Electrical and Computer Engineering / May, 2019

Lubbock

Experience

Ericsson

Data Engineer INtern / May, 2021 — August, 2021

Investigated multiple data science innovations for the MANA Support and Repair team to assist in transitioning into a preemptive organization while also increasing the working efficiency on customer support requests.

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