Solar eruptions and heliospheric propagation
Modeling how coronal mass ejections evolve in the corona and inner heliosphere, with emphasis on space-weather relevance.
Georgia State University
Dr. Talwinder Singh
Assistant Professor of Physics and Astronomy at Georgia State University.
About
I am an Assistant Professor in the Department of Physics & Astronomy at Georgia State University. My research focuses on coronal mass ejections, solar-wind modeling, heliospheric simulations, machine learning for space-weather prediction, and reproducible scientific software.
Research
Current Directions
HelioCubed and physics-based simulation workflows
Developing computational pipelines and high-order MHD tools that connect boundary conditions, numerical models, and multi-instrument observations.
Machine learning for space-weather prediction
Developing data-driven methods for solar flare and CME forecasting.
Teaching
Courses and Student Projects
PHYS 2211: Principles of Physics I
Introductory mechanics for lower division undergraduates.
PHYS 4600: Classical Mechanics
Advanced mechanics for upper-level physics students.
Mentoring and research training
Student projects connect heliophysics, numerical modeling, scientific programming, observations, and machine-learning methods for space-weather applications.
Education & Experience
Training and Appointments
Aug 2024 - Current
Assistant Professor
Department of Physics & Astronomy, Georgia State University, Atlanta.
Dec 2021 - July 2024
Research Scientist I
Center for Space Plasma and Aeronomic Research, University of Alabama in Huntsville.
Dec 2020 - Dec 2021
Postdoctoral Fellow
Center for Space Plasma and Aeronomic Research, University of Alabama in Huntsville.
2020
PhD in Space Science
The University of Alabama in Huntsville. Thesis: Modeling Coronal Mass Ejections in The Solar Wind Driven by Photospheric Data. Advisor: Dr. Nikolai Pogorelov.
2018
MS in Space Science
The University of Alabama in Huntsville.
2016
Integrated M.Tech. in Engineering Physics
Indian Institute of Technology (BHU) Varanasi. Thesis: Global EUV Waves and Their Interaction with Solar Coronal Structures.
Publications
Selected Publications
2026
Assessment of Space Weather Modeling Capabilities and Transition to Operations
Kuznetsova et al., Advances in Space Research. DOI: 10.1016/j.asr.2026.03.027
2026
SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction
S. Roy, D. Hegde, J. Schmude, R. Lal, V. Gaur, T. Singh, et al., Nature Scientific Data. DOI: 10.1038/s41597-026-06552-5
2025
Combining local and global magnetohydrodynamic simulation frameworks to understand the evolution of coronal mass ejections
T. Singh, S. S. Maity, P. Chatterjee, N. Pogorelov, Journal of Astrophysics and Astronomy. DOI: 10.1007/s12036-025-10114-3
2025
HelioCubed: A High Order Inner Heliosphere Simulation Code with a Mapped Cubed Sphere Grid and Adaptive Mesh Refinement
T. Singh et al., Journal of Physics Conference Series. DOI: 10.1088/1742-6596/2997/1/012019
2025
Magnetohydrodynamic Simulation of a Coronal Mass Ejection Observed During the Near-radial Alignment of Solar Orbiter and Earth
T. Singh, D. Hegde, T. K. Kim, N. Pogorelov, The Astrophysical Journal. DOI: 10.3847/1538-4357/adb1ac
2023
Improving the Arrival Time Estimates of Coronal Mass Ejections by Using MHD Ensemble Modeling, Heliospheric Imager Data, and Machine Learning
T. Singh, B. Benson, S. A. Z. Raza, T. K. Kim, N. V. Pogorelov, W. P. Smith, C. N. Arge, The Astrophysical Journal. DOI: 10.3847/1538-4357/acc10a
2022
Ensemble simulations of the 12 July 2012 Coronal Mass Ejection with the Constant Turn Flux Rope Model
T. Singh, T. Kim, N. V. Pogorelov, C. Arge, The Astrophysical Journal. DOI: 10.3847/1538-4357/ac73f3
2020
A Modified Spheromak Model Suitable for Coronal Mass Ejection Simulations
T. Singh, M. S. Yalim, N. V. Pogorelov, N. Gopalswamy, The Astrophysical Journal. DOI: 10.3847/1538-4357/ab845f
Funding
Current Research Funding
Demystifying the Black-box Transient Event Prediction Models for Improved Space Weather Forecasting
NASA, $249,981, Role: co-PI, 2024-2026.
Understanding the Anomalous Expansion of CMEs in Solar Cycle 24 Using Magnetohydrodynamic Simulations
NASA, $280,067, Role: PI, 2023-2025.
Machine Learning Ready Interplanetary Scintillation Dataset for Improved Coronal Mass Ejection Forecasting
NASA, $150,000, Role: Co-I, 2025-2026.
Improving Space Weather Predictions through Synergy of Simulations, Data Analysis, and Machine Learning
NASA, $150,000, Role: Co-I, 2023-2026.
CyberTraining: Pilot: Interdisciplinary Workforce Training for Data-intensive Solar Astroinformatics
NSF, $299,979, Role: Co-I, 2026-2028.
Students
Joining the Group
I welcome motivated students interested in space physics, computational modeling, data analysis, machine learning, and scientific software. Prospective students should include a short note about their interests, relevant coursework or research experience, and what they hope to learn.
Email Me