Fujitsu Research of America

Converging Lab


Solving social issues with digitally converging multidisciplinary knowledge is at the core of our research and development efforts

We leverage insights from a diverse range of fields, merging inputs from the humanities and social sciences with expertise in digital technology.

In today's landscape, where digital technology is an indispensable part of our lives, society is continually evolving, giving rise to new values. The overarching goals include sustainable societal development, maintaining fairness, and addressing the diverse interests of people. These challenges necessitate comprehensive solutions from various perspectives. However, the increasing specialization within specific fields of study and research poses a counteractive force.

Despite the accumulation of vast expertise in each field, the challenge lies in applying a broader focus – finding a balance between delving deeply into one field while taking others into account. In an increasingly diverse society, research and development confined to a single field are simply no longer appropriate.

Converting Computing

CT Lab

Fujitsu's Converging Technologies Laboratory (CT Lab) recognizes the need for a fresh approach that integrates multiple disciplines. Consequently, we are actively engaged in research and development on Converging Technologies, which amalgamate knowledge from various fields, including natural science, social science, and humanities.

Fujitsu Research of America has actively collaborated with University including Carnegie Mellon University (CMU) in Pittsburgh, PA, standing out as a pioneering partner since 2017.

Over the years, our joint research endeavors have garnered numerous accolades in top academic conferences worldwide. The technologies developed through this collaboration are not only recognized in academic circles but are also being applied to real-world scenarios on a global scale through the Fujitsu extensive business presence.

Researchers in the Converging Lab

Discover more about converging,
one of our 5 key technologies


  1. Image synthesis for personalized facial expression classification- K Niinuma, JF Cohn - US Patent App. 17/392,077
  2. Image synthesis for balanced datasets- H Yu, K Niinuma, LA Jeni 2023 IEEE 17th International Conference on Automatic Face and Gesture …
  3. CoNFies: Controllable Neural Face Avatars- K Niinuma, JF Cohn - US Patent App. 17/392,077
  4. DyLiN: Making Light Field Networks Dynamic- H Yu, J Julin, ZA Milacski, K Niinuma, LA Jeni Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …
  5. Visually explaining 3D-CNN predictions for video classification with an adaptive occlusion sensitivity analysis- T Uchiyama, N Sogi, K Niinuma, K Fukui - Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …
  6. Defect detection method and apparatus- Y Hida US Patent 11,727,670
  7. Scrolling and navigation in virtual reality- J Fashimpaur, A Gupta, TR Jonker US Patent 11,726,578
  8. Spatially offset haptic feedback- A Gupta, MJ Samad, H Benko US Patent 11,720,175
  9. Fingertip Wearable High-resolution Electrohydraulic Interface for Multimodal Haptics- J Hartcher-O’Brien, V Mehta, N Colonnese, A Gupta, CJ Bruns, P Agarwal - 2023 IEEE World Haptics Conference (WHC), 299-305
  10. Multimodal kinematic template matching and regression modeling for ray pointing prediction in virtual reality- R Henrikson, TS Grossman, SE Trowbridge, H Benko, DJ Wigdor, ... US Patent 11,656,693
  11. Investigating Wrist Deflection Scrolling Techniques for Extended Reality- J Fashimpaur, A Karlson, TR Jonker, H Benko, A Gupta - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …
  12. Investigating Eyes-away Mid-air Typing in Virtual Reality using Squeeze haptics-based Postural Reinforcement - A Gupta, N Sendhilnathan, J Hartcher-O'Brien, E Pezent, H Benko, ... Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …
  13. Gaze Speedup: Eye Gaze Assisted Gesture Typing in Virtual Reality- M Zhao, AM Pierce, R Tan, T Zhang, T Wang, TR Jonker, H Benko, ... - Proceedings of the 28th International Conference on Intelligent User …
  14. Systems and methods for communicating model uncertainty to users- T Zhang, A Gupta, M Giordano, TR Jonker, H Benko - US Patent App. 17/575,676
  15. Estimating Network Flow and Travel Behavior Using Day-to-Day System-Level Data: A Computational Graph Approach- P Guarda, M Battifarano, S Qian - Available at SSRN 4490930
  16. Uncovering the influence of time perception on decision-making about time- P Guarda, N Harvey, JC Muñoz PsyArXiv
  17. Commuter departure time choice behavior under congestion charge: Analysis based on cumulative prospect theory- K Geng, Y Wang, E Cherchi, P Guarda Transportation Research Part A: Policy and Practice 168, 103564
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