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Hello, I'm Laio O. Seman!

Welcome to my GitHub profile! I'm a researcher and academic with a strong focus on Operations Research and Machine Learning.

My Research Interests

  • Operations Research: Specializing in Branch and Price methods. My work involves developing and optimizing algorithms for complex, large-scale problems in various domains.
  • Machine Learning: Exploring the intersection of ML and Operations Research. I'm keen on applying deep learning techniques to enhance decision-making processes in engineering applications.

Projects and Papers

Collaboration

I'm open to collaborative projects and research opportunities. If you're interested in combining efforts in Operations Research and Machine Learning, especially in decomposition contexts, feel free to reach out!

Publications

Google Scholar: https://scholar.google.com.br/citations?user=PFcaR_MAAAAJ

How to Reach Me

  • Email: laio [at] gos.ufsc.br

Laio O. Seman's Projects

atchim icon atchim

atchim is a naive atuin pseudo-clone

etascon icon etascon

ETaSCoN - Energy-aware Task Scheduling for quality-of-service assurance in Constellations of Nanosatellites

gitapy icon gitapy

gitAPy - A Python wrapper for the GitHub API

ipym icon ipym

IPM Self-Dual Solver for BCP in LP

otahscube icon otahscube

Optimal Tasks and Heater Scheduling Applied to CubeSats

pylspm icon pylspm

Partial Least Squares Path Modeling in Python

satdp icon satdp

Dynamic Programming Algorithm for the Offline Nanosatellite Task Scheduling Problem (ONTS)

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