Gabriel Deza

Hello! I am a PhD student in Industrial Engineering at Tel Aviv University working with Tal Raviv and Michal Tzur. I previously did my MSc at the University of California, Berkeley in Industrial Engineering and Operations Research working with Candace Yano. During my undergrad in Engineering Science at the University of Toronto, I worked on deep learning and privacy at the CleverHans Lab with Nicolas Papernot. My current research focuses on optimization problems for transportation, specifically line planning, timetabling and demand routing in highly connected networks. More generally, I am interested in exact optimization methods for problems spanning several stages of the network design problem.

email: <firstname><lastname> @ mail.tau.ac.il

Publications

Here are my current publications. You can also find the same list in my CV.

• 

  Routing in Line Networks with Handling Times

  Gabriel Deza, Tal Raviv, Michal Tzur

  Accepted to Transportation Science

  arXiv

• 

  Optimizing Service Fees and Driver Payments for Restaurant Food Delivery

  Gabriel Deza, Candace Yano

  Submitted, 2025

• 

  Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research

  Ryan Hoque, Kaushik Shivakumar, Shrey Aeron, Gabriel Deza, Aditya Ganapathi, Adrian Wong, Johnny Lee, Andy Zeng, Vincent Vanhoucke, Ken Goldberg

  IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

  Paper | IEEE | Project | Citation

  @inproceedings{hoque2022fold,
    title={Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research},
    author={Hoque, Ryan and Shivakumar, Kaushik and Aeron, Shrey and Deza, Gabriel and Ganapathi, Aditya and Wong, Adrian and Lee, Johnny and Zeng, Andy and Vanhoucke, Vincent and Goldberg, Ken},
    booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems},
    year={2022}
  }
  

• 

  Unrolling SGD: Understanding Factors Influencing Machine Unlearning

  Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, Nicolas Papernot

  7th European Symposium on Security and Privacy (2022) 303-319

  Paper | Citation

  @inproceedings{thudi2022unrolling,
    title={Unrolling SGD: Understanding Factors Influencing Machine Unlearning},
    author={Thudi, Anvith and Deza, Gabriel and Chandrasekaran, Varun and Papernot, Nicolas},
    booktitle={2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P)},
    pages={303--319},
    year={2022}
  }
  

• 

  Interpretability in Safety-Critical Financial Trading Systems

  Gabriel Deza, Adelin Travers, Colin Rowat, Nicolas Papernot

  arXiv preprint, 2021

  Paper | Citation

  @article{deza2021interpretability,
    title={Interpretability in Safety-Critical Financial Trading Systems},
    author={Deza, Gabriel and Travers, Adelin and Rowat, Colin and Papernot, Nicolas},
    journal={arXiv preprint arXiv:2109.15112},
    year={2021}
  }
  

• 

  Optimization over Degree Sequences of Graphs

  Gabriel Deza, Shmuel Onn

  Discrete Applied Mathematics 296 (2021) 2-8

  Paper | Journal | Citation

  @article{deza2021optimization,
    title={Optimization over Degree Sequences of Graphs},
    author={Deza, Gabriel and Onn, Shmuel},
    journal={Discrete Applied Mathematics},
    volume={296},
    pages={2--8},
    year={2021}
  }