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Electronics and Electrical Engineering

D-Index
31
Citations
5174
World Ranking
6491
National Ranking
2126

Overview

Toshiaki Koike-Akino is affiliated with Mitsubishi Electric in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a focus on Electrical and Electronic Engineering, Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, and Signal Processing.

The main topics addressed in their work include:

  • EEG and Brain-Computer Interfaces
  • Neural Networks and Reservoir Computing
  • Indoor and Outdoor Localization Technologies
  • Optical Network Technologies
  • Speech and Audio Processing
  • Photonic and Optical Devices
  • Privacy-Preserving Technologies in Data

Toshiaki Koike-Akino has contributed to a significant number of peer-reviewed publications, many of which appear in well-known venues such as arXiv (Cornell University), IEEE Access, the Conference on Lasers and Electro-Optics, the Journal of Lightwave Technology, and IEEE Transactions on Multimedia.

Selected recent papers include:

  • Fingerprinting-Based Indoor Localization With Commercial MMWave WiFi: A Deep Learning Approach, 2020, IEEE Access
  • Learning Invariant Representations From EEG via Adversarial Inference, 2020, IEEE Access
  • EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals, 2021, 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices, 2020, Laser & Photonics Review
  • Deep Neural Networks for Inverse Design of Nanophotonic Devices, 2021, Journal of Lightwave Technology

Frequent collaborators in their published work include Ye Wang, Kieran Parsons, Keisuke Kojima, Takuya Fujihashi, and Deniz Erdoğmuş.

Best Publications

  • Optimized constellations for two-way wireless relaying with physical network coding

    T. Koike-Akino;P. Popovski;V. Tarokh

  • Deep Neural Network Inverse Design of Integrated Photonic Power Splitters.

    Mohammad H. Tahersima;Keisuke Kojima;Toshiaki Koike-Akino;Devesh Jha

  • High-dimensional modulation for coherent optical communications systems.

    David S. Millar;Toshiaki Koike-Akino;Sercan Ö. Arık;Keisuke Kojima

  • Design of a 1 Tb/s Superchannel Coherent Receiver

    David S. Millar;Robert Maher;Domanic Lavery;Toshiaki Koike-Akino

  • Multiset-Partition Distribution Matching

    Tobias Fehenberger;David S. Millar;Toshiaki Koike-Akino;Keisuke Kojima

  • Analysis of Network Coded HARQ for Multiple Unicast Flows

    P. Larsson;B. Smida;T. Koike-Akino;V. Tarokh

  • Denoising Maps and Constellations for Wireless Network Coding in Two-Way Relaying Systems

    T. Koike-Akino;P. Popovski;V. Tarokh

  • Fingerprinting-Based Indoor Localization With Commercial MMWave WiFi: A Deep Learning Approach

    Toshiaki Koike-Akino;Pu Wang;Milutin Pajovic;Haijian Sun

  • EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals.

    Andac Demir;Toshiaki Koike-Akino;Ye Wang;Masaki Haruna

  • Learning Invariant Representations From EEG via Adversarial Inference

    Ozan Ozdenizci;Ye Wang;Toshiaki Koike-Akino;Deniz Erdogmus

  • Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices

    Yingheng Tang;Yingheng Tang;Keisuke Kojima;Toshiaki Koike‐Akino;Ye Wang

  • Denoising Strategy for Convolutionally-Coded Bidirectional Relaying

    T. Koike-Akino;P. Popovski;V. Tarokh

  • Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders

    Ozan Ozdenizci;Ye Wang;Toshiaki Koike-Akino;Deniz Erdogmus

  • Proceedings of IEEE International Conference on Communications (ICC 2009)

    Toshiaki Koike-Akino;Petar Popovski;Vahid Tarokh

  • Nonlinearity-Tolerant Four-Dimensional 2A8PSK Family for 5–7 Bits/Symbol Spectral Efficiency

    Keisuke Kojima;Tsuyoshi Yoshida;Toshiaki Koike-Akino;David S. Millar

  • Coded Bidirectional Relaying in Wireless Networks

    Petar Popovski;Toshiaki Koike-Akino

  • Spatial Scattering Modulation for Uplink Millimeter-Wave Systems

    Yacong Ding;Kyeong Jin Kim;Toshiaki Koike-Akino;Milutin Pajovic

  • Analysis of Network Coded HARQ for Multiple Unicast Flows

    P. Larsson;B. Smida;T. Koike-Akino;V. Tarokh

  • Physical layer network coding for FSK systems

    J.H. Sorensen;R. Krigslund;P. Popovski;T. Akino

  • High-accuracy user identification using EEG biometrics

    Toshiaki Koike-Akino;Ruhi Mahajan;Tim K. Marks;Ye Wang

  • Deep Neural Networks for Inverse Design of Nanophotonic Devices

    Keisuke Kojima;Mohammad H. Tahersima;Toshiaki Koike-Akino;Devesh K. Jha

  • Adversarial Deep Learning in EEG Biometrics

    Ozan Ozdenizci;Ye Wang;Toshiaki Koike-Akino;Deniz Erdogmus

  • Analysis of Nonlinear Fiber Interactions for Finite-Length Constant-Composition Sequences

    Tobias Fehenberger;David S. Millar;Toshiaki Koike-Akino;Keisuke Kojima

  • Adaptive Modulation and Network Coding with Optimized Precoding in Two-Way Relaying

    Toshiaki Koike-Akino;Petar Popovski;Vahid Tarokh

Frequent Co-Authors

Philip Orlik
Philip Orlik Mitsubishi Electric (United States)
Vahid Tarokh
Vahid Tarokh Duke University
Petar Popovski
Petar Popovski Aalborg University
Polina Bayvel
Polina Bayvel University College London
Domanic Lavery
Domanic Lavery Infinera (UK)
Seb J. Savory
Seb J. Savory University of Cambridge
Minghao Qi
Minghao Qi Purdue University West Lafayette
Alex Alvarado
Alex Alvarado Eindhoven University of Technology
Andreas F. Molisch
Andreas F. Molisch University of Southern California
Koon Hoo Teo
Koon Hoo Teo Mitsubishi Electric (United States)

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