嘉宾介绍

陈翌佳

  陈翌佳教授,上海交通大学计算机科学博士、德国弗莱堡大学数学博士,现任复旦大学计算机科学技术学院教授。他的主要研究领域为计算复杂性、逻辑和算法图论,特别是参数复杂性和有限模型论。他的结果发表在计算机一流期刊JACM、SICOMP、一流会议FOCS、ICALP、LICS、数理逻辑一流期刊JSL、APAL等。陈翌佳教授曾获微软青年教授奖,理论计算机国际会议ICALP’10及图论国际会议WG‘17最佳论文奖,三次担任LICS会 议程序委员。

特邀报告

报告题目:Algorithmic meta-theorems, where logic meets algorithms.

  报告摘要:Many NP-hard problems can be solved efficiently on tree-like graphs. In fact, these results can be unified by a single theorem, i.e., Courcelle’s Theorem. It states that every property definable in monadic second-order logic is decidable in linear time on graphs of bounded tree-width. Theorems of this form are known as algorithmic meta-theorems. The last 20 years have seen many algorithmic-meta theorems which build on deep structural graph theory and finite model theory. In this talk I will explain those results and also some of our recent work on algorithmic meta-theorems for small circuit complexity classes.