Chandler Timm C. Doloriel

PhD Research Fellow at Norwegian University of Life Sciences

Chandler Timm C. Doloriel

Chandler Timm C. Doloriel
PhD Research Fellow
NMBU - Norwegian University of Life Sciences
Ås, Norway

Email: chandlertimmdoloriel@gmail.com
Github: chandlerbing65nm
Google Scholar

About Me

I am a PhD researcher focusing on test‑time adaptation with applications to aquaculture, advised by Habib Ullah, Kristian Hovde Liland, Fadi Al Machot, Muhammad Salman Siddiqui, and Tor Kristian Stevik.

Previously, I was a Senior Research Assistant at Singapore University of Technology and Design (SUTD) under Ngai‑Man Cheung on deepfake detection.

I am interested in collaborating with researchers working on test-time adaptation. Please feel free to contact me if your work aligns with this area.

Research Interests

My research interests are:

  • Test-Time Adaptation
  • Deepfake Detection
  • Object Detection

News

2026/1 - One paper accepted to ACM TOMM (ACM Transactions on Multimedia Computing, Communications, and Applications). Impact Factor 6.0. Q1 Journal.
2025/12 - Presented our work on test-time adaptation at EurIPS 2025 Workshop: Unifying Perspectives in Learning Biases at Copenhagen, Denmark
2025/8 - Enrolled to course IN9310 Advanced Deep Learning for Image Analysis at University of Oslo
2025/2 - Enrolled to course PENG9560 Topics in Artificial Intelligence and Machine Learning at Oslo Metropolitan University
2025/1 - Attended Northern Lights Deep Learning Conference at University of Tromsø
2024/7 - Started PhD at Norwegian University of Life Sciences (NMBU)
2024/4 - One paper accepted at ICASSP'24!
2023/9 - Senior Research Assistant at Singapore Uni. of Tech. and Design (SUTD)
2023/4 - Visiting Research Fellow at Singapore Uni. of Tech. and Design (SUTD)
2023/2 - Received my Master degree at University of the Philippines Diliman
2023/1 - One paper accepted at WACVW'23!

Papers

Family Matters: A Systematic Study of Spatial vs. Frequency Masking for Continual Test-Time Adaptation
Chandler Timm C. Doloriel, Chandler Timm C. Doloriel, Yunbei Zhang, Yeonguk Yu, Taki Hasan Rafi, Muhammad Salman Siddiqui, Tor Kristian Stevik, Habib Ullah, Fadi Al Machot, Kristian Hovde Liland
arXiv, 2026
Towards Sustainable Universal Deepfake Detection with Frequency-Domain Masking
Chandler Timm C. Doloriel, Habib Ullah, Kristian Hovde Liland, Fadi Al Machot, Ngai-Man Cheung
ACM TOMM, 2026
Frequency Masking for Universal DeepFake Detection
Chandler Timm C. Doloriel, Ngai-Man Cheung
ICASSP, 2024
Improving the Detection of Small Oriented Objects in Aerial Images
Chandler Timm C. Doloriel, Rhandley D. Cajote
WACVW, 2023

Services

  • Reviewer, ACM TOMM
  • Reviewer, IEEE TMM
  • Reviewer, IEEE ICASSP, 2024