基本信息
浏览量:122
职业迁徙
个人简介
I'm currently working as a Post-Doctoral Researcher in the Robotics and Autonomous Systems Group and the Verification Group at the University of Liverpool. I have a PhD in Artificial Intelligence and an MSc in Knowledge Based Systems.
My research falls at the intersection of artificial intelligence and computational proof. Most recently it has focused on autonomous systems: their programming and verification. My research has primarily been driven by the parallel development of verification tools and verifiable systems, these include the lambdaClam proof planning system; the PROSPER Toolkit for integrating CAD and CASE tools, theorem proving and model checking; and more recently the Agent Infrastructure Layer for prototyping the semantics of Agent Programming Languages; the javapathfinder-based AJPF model checker for verifying agent programs and the Gwendolen verifiable agent programming language. As part of this research I have worked with industrial partners such as National Nuclear Labs and BAe systems.
I have extensive experience in public engagement and developed Lego Rovers, an activity that presents ideas from artificial intelligence programming and autonomous systems to children in Key Stages 2&3. This activity has been presented at multiple schools in the North West, was featured in a Best Practice video used for training by the STEM Ambassadors scheme, was a challenge problem for the NASA Space Apps hackathon, and has been used at Cheltenham Science Festival and in several events at the World Museum in Liverpool. It is currently funded by an STFC public understanding small award. I've also given interviews to Radio Merseyside's Drive Time, Radio Five Live, Granada Reports and the Today programme on BBC Radio 4.
研究兴趣
论文共 171 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
CoRR (2024): 1-22
引用0浏览0EI引用
0
0
Sanmay Das,Nicholas Mattei,John P. Dickerson,Sven Koenig,Louise A. Dennis, Larry R. Medsker,Ziyu Yao,Anuj Karpatne,Alan Tsang, Matt Luckcuck
AI Mattersno. 3 (2023): 4-9
引用0浏览0EI引用
0
0
ARTIFICIAL INTELLIGENCE XL, AI 2023 (2023): 247-252
EUMASpp.345-362, (2023)
引用0浏览0EI引用
0
0
2023 IEEE 31st International Requirements Engineering Conference Workshops (REW)pp.332-336, (2023)
引用0浏览0EIWOS引用
0
0
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