基本信息
浏览量:1559
职业迁徙
个人简介
The primary focus of my research is on the design and analysis of effective data-driven models and efficient algorithms that leverage tools from discrete optimization problems, and in particular, on approximation algorithms for NP-hard and other computationally intractable problems. Linear programming relaxations have played a fundamental role in obtaining good solutions to hard optimization problems, and we continue to study their application to a range of problems in clustering, sequencing and scheduling, and inventory problems, in both deterministic and stochastic optimization settings. In addition to studying these problems with a theoretical lens, we have been involved in the practical application of these techniques in settings ranging from genomics to medical aircraft scheduling to the long-term planning for the preservation of the red-cockaded woodpecker to the operational logistics and design of bike-sharing systems. More recent application domains include COVID epidemiological modeling, congressional districting and IoT network design.
研究兴趣
论文共 236 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
Symposium on Networked Systems Design and Implementationpp.329-343, (2024)
引用0浏览0EI引用
0
0
Dagstuhl Reportsno. 2 (2023): 1-19
引用0浏览0EI引用
0
0
APPROXIMATION AND ONLINE ALGORITHMS, WAOA 2023 (2023): 160-174
PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 1, SIGCSE 2023pp.108-114, (2023)
CoRR (2023)
引用0浏览0EI引用
0
0
arxiv(2023)
medRxiv (Cold Spring Harbor Laboratory) (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