Electronic Visualization Laboratory

Electronic Visualization Laboratory

Established in 1973, the Electronic Visualization Laboratory (EVL) is an interdisciplinary research laboratory in the UIC College of Engineering’s Computer Science department. EVL specializes in collaborative visualization, virtual reality, visual data science, and advanced computing and networking infrastructure, helping scientists and engineers access, display, share and interact with data at scale.

Read more about EVL’s history and current projects.

  1. Zhong Zheng, Michael E. Papka, and Zhiling Lan, EcoShift: Performance-Aware Power Management for Power-Constrained Heterogeneous Systems, 2026
  2. Zhong Zheng, Michael E. Papka, and Zhiling Lan, Towards Energy Efficient Co-Scheduling in HPC, 2026
  3. Carla Floricel, Yaohua Wang, Andrew Wentzel, Clifton D. Fuller, G. Elisabeta Marai, Michael E. Papka, and Guadalupe Canahuate, L-VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts, Computer Graphics Forum, 2026
  4. Yiheng Tao, Yihe Zhang, Matthew Dearing, Xin Wang, Yuping Fan, Michael E. Papka, and Zhiling Lan, Ranking Before Serving: Low-Latency LLM Serving via Pairwise Learning-to-Rank, In ISC High Performance 2026 Research Paper Proceedings (41st International Conference), 2026
  5. Ayman Yousef, Corey Wetterer-Nelson, Mengjiao Han, Victor Mateevitsi, Joseph Insley, Silvio Rizzi, Janet Knowles, Michael E. Papka, and Amanda Randles, Instrumenting Lightweight, Modular Machine Learning Training and Inference in Parallel Solvers, In Computational Science – ICCS 2026, 2026