基本信息
views: 266
Career Trajectory
Bio
His research lies at the intersection of human-computer interaction, human computation, user modelling, and machine learning. By investigating the relationship between the science and practice of design, and the digital technology that fuels intelligent products, services, and systems, Alessandro is interested in developing methods and tools that support the design, development, control, and operation of AI-enabled systems that are well-situated around actual human characteristics, values, intentions, and behaviours, rather than as we want or assume them to be.
Alessandro has published more than 150 papers in peer-reviewed international journals (e.g. VLDBJ, ACM TWEB, IEEE IC, IEEE Access) and conferences (e.g. CHI, CSCW, HCOMP, WWW/TheWebConference, AAAI, IJCAI, RecSys, ESWC, ISWC)). In 2017 he received the IBM Faculty Award for his work on Enterprise Crowd Computing. He currently serves as a member of the steering committee of the International Conference of Web Engineering (ICWE) conference series, and as Associate Editor of the International Journal of Web Engineering (JWE). He regularly serves as Program Chair or Area Chair for major international conferences.
Research Interests
Papers共 287 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation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
IEEE Transactions on Knowledge and Data Engineeringno. 99 (2024): 1-14
Computational Urban Scienceno. 1 (2024): 1-17
CoRR (2024)
Cited0Views0EIBibtex
0
0
LANDSCAPE AND URBAN PLANNING (2024): 105009
ADVANCES IN INFORMATION RETRIEVAL, ECIR 2024, PT IV (2024): 437-465
ACM Conference on Human Factors in Computing Systemspp.281:1-281:7, (2024)
AGILE: GIScience Series (2023): 1-12
CHI 2023pp.11:1-11:20, (2023)
FRONTIERS IN ARTIFICIAL INTELLIGENCE (2023): 1161006-1161006
Environmental researchno. Pt 1 (2023): 117279-117279
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn