Davide Callegaro

Ph.D. Candidate2016 – now
Research Interests:
  • Distributed machine learning in heterogeneous computer networks
  • Reinforcement learning and semantic maps
  • Unmanned aerial vehicles
  • Edge computing
Education:
  • 2016
    M.S. in Computer Engineering
    University of Padova, Italy
  • 2013
    B.S. in Information Engineering
    University of Padova, Italy
Website: LinkedIn

I obtained my Bachelor and Master degree in University of Padova, Italy, in Computer Engineering. I am now a Computer Science Ph.D Student at University of California Irvine, working on Machine Learning in an heterogeneous Computer System. I focus on how to make Sensor Networks more reliable and efficient through architecture design, studying and implementing real systems. Since the participation to the DARPA HackFest 2017, in joint team guided by Prof. Levorato and Prof. Bhaskar Krishnamachari, teaching at USC Viterbi School of Engineering, I have been using Unmanned Aerial Vehicles (UAV) as an application of my studies. These devices, characterized by high mobility, time limitations and limited energy availability, offer a great opportunity for researching my topics of interest.

Publications

  • D. Callegaro and M. Levorato, Optimal Computation Offloading in Edge-Assisted UAV Systems, in 2018 IEEE Global Communications Conference: Selected Areas in Communications: Tactile Internet (Globecom2018 SAC TI), Abu Dhabi, United Arab Emirates, Dec. 2018. ▸BibTeX
    @inproceedings{callegaro-levorato-2018-globecom,
      author = {Davide Callegaro and Marco Levorato},
      title = {Optimal Computation Offloading in {Edge-Assisted} {UAV} Systems},
      booktitle = {2018 IEEE Global Communications Conference: Selected Areas in Communications: Tactile Internet (Globecom2018 SAC TI)},
      address = {Abu Dhabi, United Arab Emirates},
      month = dec,
      year = {2018}
    }
  • I. Burago, D. Callegaro, M. Levorato, and S. Singh, Intelligent Data Filtering in Constrained IoT Systems, in Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC), Pacific Groove, California, Oct.–Nov. 2017. Web▸BibTeX
    @inproceedings{burago-callegaro-2017-acssc,
      author = {Igor Burago and Davide Callegaro and Marco Levorato and Sameer Singh},
      title = {Intelligent Data Filtering in Constrained {IoT} Systems},
      booktitle = {Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC)},
      address = {Pacific Groove, California},
      month = oct # {--} # nov,
      year = {2017},
      doi = {10.1109/acssc.2017.8335485}
    }