Thiago Serra

Thiago Serra
  • Phone:
  • Email: tserra[at]merl[dot]com
  • Biography

    Thiago's research focuses on theory and applications of decision diagrams, deep learning, and integer programming. Between 2009 and 2013, he worked at Petrobras on scheduling algorithms to optimize offshore oil well developments. He received the Judith Liebman Award from INFORMS in 2016 and the Gerald L. Thompson Doctoral Dissertation Award in Management Science from Carnegie Mellon University in 2018. He is a committee member of the INFORMS Undergraduate Operations Research Prize.

  • News & Events

    •  NEWS   Best doctoral dissertation award received by Visiting Research Scientist Thiago Serra
      Date: June 4, 2018
      Where: Pittsburgh, Pennsylvania
      MERL Contacts: Arvind Raghunathan; Thiago Serra
      Research Areas: Optimization, Data Analytics
      Brief
      • Thiago Serra, currently a Visiting Research Scientist in the Data Analytics group, has been awarded the Gerald L. Thompson Doctoral Dissertation Award in Management Science from the Tepper School of Business, Carnegie Mellon University. This is awarded each year to honor an outstanding doctoral dissertation involving theoretical, computational and applied contributions in the area of Management Science. One of the thesis chapters, "The Integrated Last-Mile Transportation Problem" was work performed at MERL in conjunction with Arvind Raghunathan during a summer internship. This work resulted in a patent application and will be presented at the 2018 International Conference on Automated Planning and Scheduling (ICAPS).
    •  
  • Other Publications

    •  Serra, T., "Essays on Postoptimality, Lift-and-Project, and Scheduling", 2018, Carnegie Mellon University.
      BibTeX
      • @Phdthesis{CMU18,
      • author = {Serra, T.},
      • title = {Essays on Postoptimality, Lift-and-Project, and Scheduling},
      • school = {Carnegie Mellon University},
      • year = 2018
      • }
    •  Serra, T.; Tjandraatmadja, C.; Ramalingam, S., "Bounding and Counting Linear Regions of Deep Neural Networks", International Conference on Machine Learning (ICML), 2018.
      BibTeX
      • @Inproceedings{ICML18,
      • author = {Serra, T. and Tjandraatmadja, C. and Ramalingam, S.},
      • title = {Bounding and Counting Linear Regions of Deep Neural Networks},
      • booktitle = {International Conference on Machine Learning (ICML)},
      • year = 2018
      • }
    •  Serra, T.; Nishioka, G.; Marcellino, F., "The Offshore Resources Scheduling Problem: Detailing a Constraint Programming Approach", Principles and Practice of Constraint Programming (CP), 2012.
      BibTeX
      • @Inproceedings{CP12,
      • author = {Serra, T. and Nishioka, G. and Marcellino, F.},
      • title = {The Offshore Resources Scheduling Problem: Detailing a Constraint Programming Approach},
      • booktitle = {Principles and Practice of Constraint Programming (CP)},
      • year = 2012
      • }
    •  Barcelos, S.; Serra, T.; Rando, R. F.; Rigon, E. L.; Sasaki, N. K.; Arellano, W.; Alkschbirs, A.; Lima, D.; Oliveira, R. A., "Polarization Mode Dispersion (PMD) Field Measurements: Audit of Newly Installed Fiber Plants", National Fiber Optic Engineers Conference (NFOEC), 2005.
      BibTeX
      • @Inproceedings{NFOEC05,
      • author = {Barcelos, S. and Serra, T. and Rando, R. F. and Rigon, E. L. and Sasaki, N. K. and Arellano, W. and Alkschbirs, A. and Lima, D. and Oliveira, R. A.},
      • title = {Polarization Mode Dispersion (PMD) Field Measurements: Audit of Newly Installed Fiber Plants},
      • booktitle = {National Fiber Optic Engineers Conference (NFOEC)},
      • year = 2005
      • }