Research Output per Year
Research Output per Year
Overview
Personal Profile
Rimple Sandhu is a staff scientist in the Computational Science Center where he works on physics-aware and uncertainty-aware machine learning (ML) methods applied to energy, transportation, and ecology. His research sits at the intersection of scientific computing and modern ML – developing tools that are both physically grounded and statistically rigorous. Lately, his work has expanded toward energy-efficient artificial intelligence (AI): reservoir computing, biological computing, and other brain-inspired paradigms that aim to do more with less – computationally and data-wise.
Research Interests
Energy-efficient AI
Scientific ML
Physics-informed ML
Bayesian inference and UQ
Stochastic simulation
Reservoir computing
Professional Experience
Postdoctoral Researcher – Wind Energy Science, NLR (2020-2022)
Visiting Research Scholar, National Research Council Canada (2017–2019)
Graduate Research Assistant, Carleton University (2015–2019)
Education/Academic Qualification
PhD, Civil Engineering, Carleton University
Master, Civil Engineering, Carleton University
Bachelor, Civil Engineering, Indian Institute of Technology Bombay
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Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Automatic Calibration and Health Monitoring of Infrastructure Sensors
Mir, F., Sandhu, R., Young, S. & Wang, Q., 2026, 1 p. National Laboratory of the Rockies (NLR).Research output: NLR › Poster
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Movement Models to Predict Low-Altitude Flight of Soaring Birds Using Look-Ahead Environmental Factors: Article No. e73059
Sandhu, R., Tripp, C., Quon, E., Thedin, R., Lanzone, M., Braham, M., Miller, T., Farmer, C., Brandes, D. & Katzner, T., 2026, In: Ecology and Evolution. 16, 3, 15 p.Research output: Contribution to journal › Article › peer-review
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Semi-Analytical Hierarchical Bayesian Inference of Nonlinear Model Structure in Stochastic Dynamics: Applied to Compartmental Models of Infectious Diseases: Article No. e0350747
Robinson, B., Bisaillon, P., Sandhu, R., Khalil, M., Edwards, J., Kendzerska, T., Walker, T., Mills, S., Pettit, C., Poirel, D. & Sarkar, A., 2026, In: PLoS ONE. 21, 7, 27 p.Research output: Contribution to journal › Article › peer-review
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Infrastructure-Based Cooperative Perception at a Traffic Intersection: Overview and Challenges
Mir, F., Young, S., Sandhu, R., Wang, Q., Tripp, C. & Osborn, T., 2025, 1 p. National Laboratory of the Rockies (NLR).Research output: NLR › Poster
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NREL Infrastructure Perception and Control Workshop
Young, S., Raamot, E., Sines, D., Wang, Q., Mir, F. & Sandhu, R., 2025, 109 p.Research output: NLR › Presentation
Awards and Honors
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Senate medal for outstanding academic achievement, Ph.D.
Sandhu, R. (Recipient), 2020
Prize: Honorary award