基本信息
浏览量:160
职业迁徙
个人简介
Amarda Shehu is a professor in the Department of Computer Science. She holds affiliated appointments in the Department of Bioengineering and the School of Systems Biology. Shehu's research focuses on novel algorithms to bridge between computer and information science, engineering, and the life sciences and emphasizes problem solving in AI, search, planning, and optimization for high-dimensional and non-linear variable spaces, and machine learning for the simulation, analysis, and characterization of complex dynamics systems operating in the presence of constraints. Application domains are diverse and span from bioinformatics and computational biology, to computer-aided engineering design, and human-machine teaming. Shehu's research is supported by various NSF programs, including Intelligent Information Systems, Computing Core Foundations, and Software Infrastructure, as well as state and private research awards.
研究兴趣
论文共 241 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Cold Spring Harbor perspectives in biology (2024)
bioRxiv : the preprint server for biology (2024)
International Journal of Molecular Sciencesno. 8 (2024): 4523
Megan Herceg,Amarda Shehu
14TH ACM CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY, AND HEALTH INFORMATICS, BCB 2023pp.105:1-105:9, (2023)
14TH ACM CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY, AND HEALTH INFORMATICS, BCB 2023pp.97:1-97:9, (2023)
2022 IEEE International Conference on Knowledge Graph (ICKG)pp.105-112, (2022)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn