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Numerical Modeling of Plasmas in Fluid and Kinetic Regimes
Interpretable Quantum Advantage in Neural Sequence Learning
The Awesome Power of Biochemistry in Neuroscience
清华大学材料科学与工程研究院《材料科学论坛》:基于三维微纳结构的仿生光电与传感器...
报告题目:
Artificial Intelligence – Machines, Genes & Brains
 报告人:
Prof. Asoke K. Nandi
Brunel University, London,UK
Fellow of the Royal Academy of Engineering
Fellow of IEEE, IET, IMA, InstP, IMechE, BCS 
报告时间:
2019-10-22 09:00
报告地点:
西主楼2区203
主办单位:
电机系
  简介:

Abstract: This presentation will highlight three selected examples of exciting results from artificial intelligence at the interface of computer engineering, physics, bioinformatics, and neuropsychology. These have been drawn from the speaker’s own research. 

  • H Ahmed and A K Nandi, "Three-stage Hybrid Fault Diagnosis for Rolling Bearings with Compressively-sampled data and Subspace Learning Techniques", IEEE Transactions on Industrial Electronics, vol. 66, no. 7, pp. 5516-5524, 2019. 

  • B Abu Jamous, F M Buffa, A L Harris, and A K Nandi, “In vitro downregulated hypoxia transcriptome is associated with poor prognosis in breast cancer", Molecular Cancer, vol. 16, no. 105, (19 pages), 2017. 

  • C Liu, B Abu Jamous, E Brattico, and A K Nandi, “Towards tunable consensus clustering for studying functional brain connectivity during affective processing", International Journal of Neural Systems, vol. 27, no. 2, 1650042 (16 pages), 2017.


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