Mark Ogbodo, PhD Candidate (April 2019 – March 2022)

 

Biography

Ogbodo Mark Ikechukwu received his Ph.D. in computer science and engineering from the University of Aizu, Japan in March 2022, his master’s degree in computer science from the African University of Science and Technology (AUST) Abuja,  Nigeria in 2017, and his BSc. in computer science from Ebonyi State University Abakaliki, Nigeria in 2015. His current research interests are in the field of Neuromorphic and Machine Learning Systems.

Publications

Journals  Papers
  1. Ogbodo Mark Ikechukwu, Khanh N. Dang, Abderazek Ben Abdallah, ” On the Design of a Fault-tolerant Scalable Three Dimensional NoC-based Digital Neuromorphic System with On-chip Learning,” IEEE Access, 4/2021, DOI: 10.1109/ACCESS.2021.3071089
  2. The H. Vu, Ogbodo Mark Ikechukwu, and Abderazek Ben Abdallah, “Fault-tolerant Spike Routing Algorithm and Architecture for Three Dimensional NoC-Based Neuromorphic Systems,” IEEE Access, vol. 7, pp. 90436-90452, 2019.  
  3. Zhishang Wang, Ogbodo Mark Ikechukwu, Huakun Huang, Chen Qiu,  Masayuki Hisada, Abderazek Ben Abdallah, “AEBIS: AI-Enabled Blockchain-based Electric Vehicle Integration System for Power Management in Smart Grid Platform,” IEEE Access, 12/2020. DOI:10.1109/access.2020.30446
International  Conference Papers 
  1. Ogbodo Mark Ikechukwu, Khanh N. Dang and Abderazek Ben. Abdallah, “Energy-efficient Spike-based Scalable Architecture for Next-generation Cognitive AI Computing Systems”, International Symposium on Ubiquitous Networking 2021 (UNET21), May 19 – May 22, 2021, Marakesh, Morocco. (Best Student Paper  Award)
  2. Ogbodo Mark Ikechukwu, The H. Vu, Khanh N. Dang, Abderazek Ben Abdallah, ”Light-weight Spiking Neuron Processing Core For Large-scale 3D-NoC Based Spiking Neural,”  2019 IEEE International Conference on  Big Data and Smart Computing, February 19-22, 2020, Busan, Korea
Others
  1. Ogbodo Mark Ikechukwu, Khanh N. Dang, Tomohide Fukuchi, Abderazek Ben Abdallah, “Architecture and Design of a Spiking Neuron Processor Core Towards the Design of a Large-scale Event-Driven 3D-NoC-based Neuromorphic Processor”, The ACM Chapter, ETLTC Conference, January 27-31, 2020, Aizuwakamatsu, Japan.
  2. Okada Yuuki, Jiangkun Wang, Ogbodo Mark Ikechukwu, Abderazek Ben Abdallah, ”Hardware Acceleration of Convolution Neural Network for AI-Enabled Realtime Biomedical System,” 3rd ETLTC2021-ACM Chapter Int. Conference on Information and Comm. Technology, January 27-30, 2021, Aizu-Wakamatsu, Japan
  3. Huakun Huang, Mark Ogbodo, Zhisheng Wang, Chen Qiu, Masayuki Hisada, Abderazek Ben Abdallah, ”Smart Energy Management System based on Reconfigurable AI Chip and Electrical Vehicles”, 2021 IEEE International Conference on Big Data and Smart Computing (BigComp 2021), January 17-20, 2021, Jeju Island, Korea
  4. Tomohide Fukuchi,  Ogbodo Mark Ikechukwu, Abderazek Ben Abdallah. ”Design and Optimization of a Deep Neural Network Architecture for Traffic Light Detection,” ACM Chapter International Conference on Educational Technology, Language and Technical Communication (ETLTC), January 27-31, 2020, Aizuwakamatsu, Japan

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