Cyber Informatics Research Award

Cyber Informatics Research Award is given to distinguished research persued by a student, personnel or a research group in CI program. 

Following three Master thesis researches are recognized as CI research award in the fall semester 2023.

  • Akiho Iwata
    Automatic Level Judgment of Step Sequence in Figure Skating
  • Shun Nishimura
    Study on highprecision localization by scan matching with artificial structures for automated vehicles
  • Mahiro Yakabe
    Implementing Receiving Phased Array Antennas using multiple COTSSDRs
  • Kodai Doki
    Transaction processing system with lightweight priority control 
  • Yuki Hideshima
    Algorithmic Robot Design Method and its Empirical Evaluation Considering Constraints on Real Robots

Following three Master thesis reseaches are equally recognized as CI research award in the spring semester 2023. 

  • Kansuke Habano
    Accurate and robust action segmentation using Video Sensor Fusion Framework 
  • Sitong Liu
    Optimizing Space-Time Overhead for Fault-Tolerant Graph State Generation 
  • Natsuki Hamada
    Applying Quantum Annealing for Combinatorial Optimization Problems

 Following five Master thesis researches are equally recognized as CI research award in the fall semester 2022.  

  • Fumiaki Mizuno, Design and Implementation of Low Latency Video Transmission System with Intra-frame Segmented Compression. 
  • Ryosuke Satoh, RuLa: A Programming Language for RuleSet-based Quantum Repeaters
  • Yasuhiro Ohkura, Leveraging hardware-control imperfections for error mitigation via generalized quantum subspace

     

  • Kosei Masumura, Autonomously Optimizing Transaction Processing System 
  • Shunta Ito, Amplifying the Perception of Ascent and Descent in Virtual-Reality-Equipped Electric Wheelchair in an Electric Wheeled Ramp
  • July 19, 2022: Wenhao Huang, ”A Comparative Study of Bus Crowdedness Sensing Based on Deep Learning and CO2 Sensors”, Master Thesis, spring semester academic year 2022. 
  • Jan 22, 2022: Hirono Kawashima, ”Continual Learning of Image Classification Using Neural Control Baed on Class Difficulty”, Master Thesis, fall semester academic year 2021. 
hirono kawashima and jin nakazawa photo