Matteo Brucato

Ph.D. Candidate, UMass Amherst

matteo@cs.umass.edu
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Contact me: matteo@cs.umass.edu

I am a Ph.D. candidate in Computer Science working with Peter J. Haas and the DREAM Lab at at the University of Massachusetts Amherst. I am also collaborating with the Human Data (HuDa) Interaction Lab at NYU Abu Dhabi.

My research focuses on augmenting data management systems to better support data science, all stages of analytics, with special emphasis on predictive and prescriptive analytics, and faster and easier decision making. The main goal of my research is to democratize data science and decision making in a variety of practical applications, across different disciplines and industries. In my research conducted so far, I built complete and efficient data management systems able to support a broad class of decision-making problems that can be expressed as integer linear programs (ILP), on both certain and uncertain data. My current and future research aims at enlarging the scope of these systems to even broader classes of problems. Given the complexity and the broad scope of my research endeavors, my work has been largely interdisciplinary, it led to several top-tier publications, spanning also other research areas such as natural language processing, information retrieval, text summarization, AI, and robotics, and has been recognized by several ACM awards.

Prior to joining UMass, I received my Bachelor's and Master's degrees in Computer Science from the Computer Science and Engineering Department at the University of Bologna, Italy.

During summer 2017, I interned at Microsoft Research, in the Data Management, Exploration and Mining (DMX) group. During summer 2016, I interned at IBM Watson. During spring 2016, I visited NYU Abu Dhabi, UAE. During summer 2015, I visited the AMPLab at the University of California, Berkeley. During my Master's studies, I visited the Data-Intensive Systems group at Aarhus University, Denmark. During my Bachelor's studies, I interned in the Database Lab at the University of California, Riverside.

Videos

  • VLDB 2020 Best Demonstration Award:
  • SIGMOD 2020 Technical Paper Presentation:

Projects

Publications

  1. sPaQLTooLs: A Stochastic Package Query Interface for Scalable Constrained Optimization Matteo Brucato, Miro Mannino, Azza Abouzied, Peter J. Haas, Alexandra Meliou. VLDB 2020. Best Demonstration AwardAwards at VLDB 2020 Paper Talk Video
  2. SuDocu: Summarizing Documents by Example Anna Fariha, Matteo Brucato, Peter J. Haas, Alexandra Meliou. VLDB 2020. Best Demonstration Runner-up AwardAwards at VLDB 2020 Paper Talk Video
  3. Stochastic Package Queries in Probabilistic Databases Matteo Brucato, Nishant Yadav, Azza Abouzied, Peter J. Haas, Alexandra Meliou. SIGMOD 2020. Paper Talk Video
  4. Scalable Computation of High-Order Optimization Queries Matteo Brucato, Azza Abouzied, Alexandra Meliou. Communications of the ACM (CACM) 2019. CACM Research Highlight Paper
  5. Package queries: efficient and scalable computation of high-order constraints Matteo Brucato, Azza Abouzied, Alexandra Meliou. The VLDB Journal 2018 (Special Issue on Best Papers of VDLB 2016). Pre-print (Final publication available at link.springer.com)
  6. A Scalable Execution Engine for Package Queries Matteo Brucato, Azza Abouzied, Alexandra Meliou. SIGMOD Record 2017. ACM SIGMOD Research HighlightAward website Paper
  7. Redistributing Funds across Charitable Crowdfunding Campaigns Matteo Brucato, Azza Abouzied, Chris Blauvelt. CoRR abs/1706.00070, 2017. Paper
  8. Scalable Package Queries in Relational Database Systems Matteo Brucato, Juan Felipe Beltran, Azza Abouzied, Alexandra Meliou. VLDB 2016. Best papers of VDLB 2016 PaperPaper (Extended Version on arXiv)PosterSlides
  9. Improving Package Recommendations through Query Relaxation Matteo Brucato, Azza Abouzied, Alexandra Meliou. Data4U 2014 at VLDB 2014. PaperSlides
  10. PackageBuilder: From Tuples to Packages Matteo Brucato, Rahul Ramakrishna, Azza Abouzied, Alexandra Meliou. VLDB 2014. PaperPosterChallenge Poster
  11. PackageBuilder: Querying for packages of Tuples Kevin Fernandes, Matteo Brucato, Rahul Ramakrishna, Azza Abouzied, Alexandra Meliou. SIGMOD 2014. Undergraduate Research Poster
  12. Metric Spaces for Temporal Information Retrieval Matteo Brucato, Danilo Montesi. ECIR 2014. PaperSlides
  13. Recognising and Interpreting Named Temporal Expressions Matteo Brucato, Leon Derczynski, Hector Llorens, Kalina Bontcheva, Christian S. Jensen. RANLP 2013. Best Young Researcher award nominee Paper

Service

Talks

Quotes

Matteo Brucato
Ph.D. Candidate
Computer Science Building, Office 254
140 Governors Drive
Amherst, MA 01003
matteo@cs.umass.edu