Kizito Masaba

Dartmouth College. Reality & Robotics Lab

prof_pic.jpg

Reality & Robotics Lab

ECSC Room 116

Dartmouth College

Hanover, NH 03755

I am a Computer Science PhD Candidate specializing in Robotics at Dartmouth College. I am passionate about solving challenges in multi robot environment exploration, a field that has applications in environmental monitoring, autonomous driving, precision agriculture, warehouse automation, object tracking, robot manufacturing, and more. I have over six years of experience in designing methods for robot coordination, communication, perception, obstacle avoidance, machine learning, and artificial intelligence, using various mathematical techniques and web frameworks.

My research work, funded by a $5.6M NSF grant, aims to address the limitations of low cost robot teams in exploring large and/or communication constrained environments, such as minimizing the operating costs, mitigating the effect of low computational power, limited energy, poor communication, and obstacles on the overall performance of robots. I have also assisted in teaching five courses in computer science at Dartmouth College, and upgraded the legacy prepaid electric meter token generation system at PivotAccess, a software company that specializes in prepaid utility bill payments across Rwanda. I am currently seeking a job opportunity in the robotics or data analytics industry, where I can apply my skills and knowledge to real-world problems in industry.

selected publications

  1. IROS 2024
    Multi-Robot Coordination Through Energy-based Dynamic Partitioning for Multi-Model Hot-Spot Sampling in Dynamic Environments
    Kizito Masaba, and Alberto Quattrini Li
    IEEE International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, UAE, 2024
  2. ICRA 2024
    Persistent Monitoring of Large Environments with Robot Deployment Scheduling in between Remote Sensing Cycles
    Kizito Masaba, and Alberto Quattrini Li
    IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024
  3. MRS 2023
    Multi-Robot Adaptive Sampling based on Mixture of Experts Approach to Modeling Non-Stationary Spatial Fields
    Kizito Masaba, and Alberto Quattrini Li
    IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Boston, MA USA, 2023
  4. MRS 2021
    GVGExp: Communication-Constrained Multi-Robot Exploration System based on Generalized Voronoi Graphs
    Kizito Masaba, and Alberto Quattrini Li
    IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Cambridge, UK, 2021
  5. MRS 2019
    ROS-CBT: Communication Benchmarking Tool for the Robot Operating System: Extended Abstract
    Kizito Masaba, and Alberto Quattrini Li
    IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Boston, New Brunswick, NJ, USA, 2019
  6. UBICOMP 2019
    Differentiating higher and lower job performers in the workplace using mobile sensing
    Shayan Mirjafari, Kizito Masaba, Ted Grover, and 8 more authors
    ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP), London, UK, 2019
  7. ACM CHI 2019
    The tesserae project: Large-scale, longitudinal, in situ, multimodal sensing of information workers
    Stephen M Mattingly, Julie M Gregg, Pino Audia, and 8 more authors
    CHI 2019, 2019
  8. UBICOMP 2018
    Sensing behavioral change over time: Using within-person variability features from mobile sensing to predict personality traits
    Weichen Wang, Gabriella M Harari, Rui Wang, and 4 more authors
    ACM UBICOMP 2018, 2018
  9. PES 2016
    Design and implementation of a load scheduling embedded system for off grid solar power systems
    Kizito Masaba, Amini Ntakirutimana, and Taha Selim Ustun
    IEEE PES 2016, 2016