Probabilistic Response-Time-Aware Search for Transient Astrophysical Phenomena
Wang, D., Sudvarg, M., Marković, F., Buhler, J., Baruah, S., and Kehne, G. Probabilistic Response-Time-Aware Search for Transient Astrophysical Phenomena. RTSS 2025.
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Wang, D., Sudvarg, M., Marković, F., Buhler, J., Baruah, S., and Kehne, G. Probabilistic Response-Time-Aware Search for Transient Astrophysical Phenomena. RTSS 2025.
Wang, D., Sudvarg, M., Buhler, J., Marković, F., and Buckley, J. Strategies to Plan Time-Critical Optical Follow-Up of Transient Astrophysical Events. AAS/HEAD, 2025.
Wang, D., Htet, Y., Sudvarg, M., Chamberlain, R., Buhler, J., and Buckley, J. Coordinating Instruments for Multi-Messenger Astrophysics. CF Companion 2025, pp. 199–204.
Sudvarg, M., Wang, D., Buhler, J., and Gill, C. Subtask-Level Elastic Scheduling. Proceedings of the 45th Real-Time Systems Symposium (RTSS), 2024.
Sudvarg, M., Li, A., Wang, D., Baruah, S., Buhler, J., Gill, C., Zhang, N., and Ekberg, P. Elastic Scheduling for Harmonic Task Systems. RTAS 2024.
Wang, D., Zhang, J., Buhler, J., Wang, J. Real-time Analysis Pipeline for FIMS Instrument. Poster at AAAR, 2023.
Programming Languages: C++, C, Python, Java, JavaScript, PHP, HTML/CSS
Parallel and High-Performance Computing: MPI, OpenMP, Unix/Linux systems, performance profiling, load balancing, scientific computing workflows
Optimization and Algorithms: Integer linear programming, approximation algorithms, online algorithms, scheduling, graph algorithms, orienteering / routing problems, heuristic search
Machine Learning and Probabilistic Modeling: PyTorch, Keras, Gaussian processes, Bayesian modeling, MCMC
Software and Tools: Git, CMake, Docker, Bash scripting, LaTeX, Gurobi, AMPL