Daniel Nolte
Research Assistant & Ph.D. Candidate at Texas Tech University
Research Interests
About
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) / Jan 01, 2020
Wang, J., Nolte, D., Tanja, K., Munoz-Ferreras, J.-M., Gomez-Garcia, R., & Li, C. (2020, January). 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). https://doi.org/10.1109/wisnet46826.2020.9037618
Active Shooter Detection in Multiple-Person Scenario Using RF-Based Machine Vision
IEEE Sensors Journal / Feb 01, 2021
Bazgir, O., Nolte, D., Dhruba, S. R., Li, Y., Li, C., Ghosh, S., & Pal, R. (2021). Active Shooter Detection in Multiple-Person Scenario Using RF-Based Machine Vision. IEEE Sensors Journal, 21(3), 3609–3622. https://doi.org/10.1109/jsen.2020.3028362
Federated learning framework integrating REFINED CNN and Deep Regression Forests
Bioinformatics Advances / Jan 01, 2023
Nolte, D., Bazgir, O., Ghosh, S., & Pal, R. (2023). Federated learning framework integrating REFINED CNN and Deep Regression Forests. Bioinformatics Advances, 3(1). https://doi.org/10.1093/bioadv/vbad036
Quantifying Deep Learning Model Uncertainty in Conformal Prediction
Jan 09, 2024
Karimi, H., & Samavi, R. (2024). Quantifying Deep Learning Model Uncertainty in Conformal Prediction. https://doi.org/10.32920/24132882
Federated learning framework integrating REFINED CNN and Deep Regression Forests
Bioinformatics Advances / Jan 01, 2023
Nolte, D., Bazgir, O., Ghosh, S., & Pal, R. (2023). Federated learning framework integrating REFINED CNN and Deep Regression Forests. Bioinformatics Advances, 3(1). https://doi.org/10.1093/bioadv/vbad036
Education
Texas Tech University
PhD, Electrical and Computer Engineering
Texas Tech University
Master of Science, Electrical and Computer Engineering / May, 2022
Texas Tech University
Bachelor of Science , Electrical and Computer Engineering / May, 2019
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.
Join Daniel on NotedSource!
Join Now
At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.
For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.
For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.
Expert Institutions
Proudly trusted by
