Published in 46th IEEE Real-Time Systems Symposium (RTSS), 2025
Develops a probabilistic response-time-aware framework for planning time-critical searches for transient astrophysical phenomena.
Recommended citation: 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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Published in 22nd ACM International Conference on Computing Frontiers, Companion Proceedings (CF Companion), 2025
Invited paper on computational coordination for multi-messenger astrophysics and time-sensitive transient-event observation.
Recommended citation: 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.
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Published in 45th Real-Time Systems Symposium (RTSS), 2024
Introduces a new framework for subtask-level elasticity in real-time task scheduling.
Recommended citation: Sudvarg, M., Wang, D., Buhler, J., and Gill, C. Subtask-Level Elastic Scheduling. Proceedings of the 45th Real-Time Systems Symposium (RTSS), 2024.
Published in 30th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), 2024
Extends elastic scheduling theory to harmonic task systems and proposes analytical guarantees for schedulability.
Recommended citation: 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.
Published in AAS/High Energy Astrophysics Division (HEAD), 2025
Talk abstract on real-time likelihood-map generation and deadline-aware optical follow-up planning for transient astrophysical events.
Recommended citation: 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.
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Published in Poster at American Association for Aerosol Research (AAAR), 2023
Poster presentation of a real-time multithreaded C++/Python pipeline for analyzing aerosol data from the FIMS instrument.
Recommended citation: Wang, D., Zhang, J., Buhler, J., Wang, J. Real-time Analysis Pipeline for FIMS Instrument. Poster at AAAR, 2023.