Research in the Department of Computer Science covers a comprehensive range of computing aspects, from theoretical foundations to practical applications in artificial intelligence, robotics, and software engineering. Our faculty, alongside graduate and undergraduate students, are advancing both the science and practical applications of computing. They achieve this through interdisciplinary collaborations within Iowa State and by partnering with leading computer science experts globally.
24 papers accepted to 11 top-tier conferences:
- 4 papers at The 37th Conference on Neural Information Processing Systems (NeurlPS 2023)
- 4 papers at The 45th International Conference on Software Engineering (ICSE 2023)
- 3 papers at The 46th International Conference on Software Engineering (ICSE 2024)
- 3 papers at the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)
- 2 papers at The 40th International Conference on Machine Learning (ICML 2024)
- 2 papers at The 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023)
- 2 papers at the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023)
- 1 paper at the 32nd International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2023)
- 1 paper at the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023)
- 1 paper at the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)
- 1 paper at the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)
9 grants awarded:
- Myra Cohen
- A COMMUNITY FOR CONFIGURABILITY OPEN RESEARCH AND DEVELOPMENT (ACCORD)
- BETTER SCIENTIFIC SOFTWARE FELLOWSHIP PROGRAM, Myra Cohen
- Oliver Eulenstein
- ALGORITHMS TO IDENTIFY NOVEL INFLUENZA A VIRUSES IN GENOMIC SURVEILLANCE DATA
- DEVELOPMENT AND VALIDATION OF OXFORD NANOPORE TECHNOLOGIES (ONT) SEQUENCING AS A MOLECULAR POINT-OF-CARE DIAGNOSTIC (POCD) ASSAY
- USE OF DIAGNOSTIC DATA TO RAPIDLY DETECT AND RAISE STAKEHOLDER AWARENESS OF EMERGING BIOLOGICAL ANIMAL HEALTH AND PRODUCTION THREATS
- Ali Jannesari
- ENABLING AI-BASED COMPILER OPTIMIZATION ON INTEL HARDWARE
- A PHYSICS-INFORMED FLOOD EARLY WARNING SYSTEM FOR AGRICULTURAL WATERSHEDS WITH EXPLAINABLE DEEP LEARNING AND PROCESS-BASED MODELING
- Wei Le
- LEARNING SEMANTICS OF CODE TO AUTOMATE SOFTWARE ASSURANCE TASKS
- Qi Li
- ACHIEVING QUALITY INFORMATION EXTRACTION FROM SCIENTIFIC DOCUMENTS WITH HETEROGENEOUS WEAK SUPERVISIONS
- ACHIEVING QUALITY INFORMATION EXTRACTION FROM SCIENTIFIC DOCUMENTS WITH HETEROGENEOUS WEAK SUPERVISIONS