Juaren Steiger
Postdoctoral Scholar
The Pennsylvania State University
Juaren Steiger
Postdoctoral Scholar
The Pennsylvania State University
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Postdoctoral Scholar
The Pennsylvania State University
I am currently on the job market for next year and am interested in assistant professor and research scientist roles. I am also interested in research collaboration with industry and other institutions. Please feel free to send me an email at juaren.steiger@psu.edu for all inquiries.
Biography:
Juaren Steiger received the Bachelor of Computing Science (BCS) degree from Thompson Rivers University, British Columbia, Canada in 2019, and the Ph.D. degree in Electrical and Computer Engineering (promoted from Master of Applied Science) from Queen's University, Ontario, Canada in 2024 under the supervision of Dr. Ning Lu. His work has been featured in notable publications, including IEEE INFOCOM, ACM MobiHoc, and IEEE/ACM Transactions on Networking. He is currently working as a Postdoctoral Scholar at the Pennsylvania State University in Dr. Bin Li's Smart Networking and Computing (SNeC) Lab. This year, he also serves as Web Chair for ACM MobiHoc 2026 and TPC member for IEEE COMPSAC 2026. Please see his CV for more information. His current research interests span theory and applications, from scheduling and online learning to wireless interactive media, including virtual reality and multi-user interactive simulations.
Publications:
J. Steiger, B. Li, “On the robustness of age for learning-based wireless scheduling in unknown environments,” in IEEE INFOCOM 2026 - IEEE Conference on Computer Communications, 2026, Acceptance Rate: 18.9%.
Z. Zhou, J. Steiger, Y. Sun, B. Li, “Low-overhead scheduling for synchronization in large-scale heterogeneous digital twin systems,” in IEEE INFOCOM 2026 - IEEE Conference on Computer Communications, 2026, Acceptance Rate: 18.9%.
X. Wu, J. Steiger, B. Li, and R. Srikant, “Optimal hybrid feedback-driven learning for wireless interactive panoramic scene delivery,” in Proceedings of the Twenty-Sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc). Association for Computing Machinery, 2025, pp. 1–10, Acceptance Rate: 23%.
J. Steiger, B. Li, and N. Lu, “Learning to balance utility and delay in bipartite queueing networks with sample path constraints,” IEEE Transactions on Networking, pp. 1–15, 2025.
J. Steiger, X. Wu, and B. Li, “Learning to wirelessly deliver consistent and high-quality interactive panoramic scenes,” in International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 2025.
J. Steiger, B. Li, and N. Lu, “Backlogged bandits: Cost-effective learning for utility maximization in queueing networks,” in IEEE INFOCOM 2024 - IEEE Conference on Computer Communications, 2024, pp. 381–390, Acceptance Rate: 19.6%.
J. Steiger, B. Li, B. Ji, and N. Lu, “Constrained bandit learning with switching costs for wireless networks,” in IEEE INFOCOM 2023 - IEEE Conference on Computer Communications, 2023, pp. 1–10, Acceptance Rate: 19.2%.
J. Steiger, B. Li, and N. Lu, “Learning from delayed semi-bandit feedback under strong fairness guarantees,” in IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, 2022, pp. 1379–1388, Acceptance Rate: 19.9%.
J. Steiger, N. Lu, and S. Sorour, “Learning for path planning and coverage mapping in uav-assisted emergency communications,” in GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020, pp. 1–6.
J. Steiger, “Pessimistic-optimistic bandit learning with applications to communication networks,” PhD thesis, Queen’s University, Kingston, Ontario, Canada, October 2024.
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