Projects per year
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Dive into the research topics where Computer Science Department is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
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Profiles
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Steven Cutchin
- Computer Science Department - Associate Professor, Department of Computer Science, Associate Professor
Person: Faculty
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Travel: NSF Student Travel Grant for the Interaction Design and Children (IDC 2025) Conference
Fails, J. A. (PI)
1/07/25 → 30/06/26
Project: Research
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ACED: Graph Representations of Atomistic Simulations for Solvent Design
Andreussi, O. (PI), Serra, E. (CoPI), Meister, K. (CoPI) & Cyran, J. (CoPI)
15/06/25 → 31/05/27
Project: Research
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CRII: RI: Improving The Robustness of Neural Networks via Bayesian Inference: from Classical to Quantum Models
Zhuang, J. (PI)
15/06/25 → 31/05/27
Project: Research
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Fairness-Aware Graph Representation Learning with Limited Demographic Information
Wang, Z., Yin, Z., Yang, L., Zhuang, J., Yu, R., Kong, Q. & Zhang, W., 2026, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Proceedings. Ribeiro, R. P., Jorge, A. M., Soares, C., Gama, J., Pfahringer, B., Japkowicz, N., Larrañaga, P. & Abreu, P. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 354-371 18 p. (Lecture Notes in Computer Science; vol. 16013 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Inconsistent Reasoning Attacks to Identify Weaknesses in Automatic Scientific Claim Verification Tools
Islam, M. A., Ellison, N., Lakha, B. & Serra, E., 2026, Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Proceedings. Ribeiro, R. P., Soares, C., Gama, J., Pfahringer, B., Japkowicz, N., Larrañaga, P., Jorge, A. M. & Abreu, P. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 56-73 18 p. (Lecture Notes in Computer Science; vol. 16019 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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NQNN: Noise-Aware Quantum Neural Networks for Medical Image Classification
Rahman, M. & Zhuang, J., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Park, J., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 433-442 10 p. (Lecture Notes in Computer Science; vol. 15972 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review