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Biography

I am a scientist at NYSBC, working on research and development of machine learning methods with application in electron microscopy.

Publications

Deep learning pan-specific model for interpretable MHC-I peptide binding prediction with improved attention mechanism

Jing Jin, Zhonghao Liu, Alireza Nasiri, Yuxin Cui, Stephen‐Yves Louis, Ansi Zhang, Yong Zhao, Jianjun Hu

Proteins: Structure, Function and Bioinformatics, Vol. 89, Issue 7, Pages 866-883

2021 January

ACTIVE LEARNING BASED GENERATIVE DESIGN FOR DISCOVERY OF WIDE BAND GAP MATERIALS

Xin, Rui, Siriwardane, Edirisuriya. M. D., Song, Yuqi, Zhao, Yong, Louis, Steph-Yves, Nasiri, Alireza, Hu, Jianjun

ArXiv

2021 January

NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique

Steph-Yves Louis, Alireza Nasiri, Fatima J. Rolland, Cameron Mitro, Jianjun Hu

ArXiv, Vol. 494, Pages 396-408

2021 January

Active-Learning-Based Generative Design for the Discovery of Wide-Band-Gap Materials

Rui Xin, Edirisuriya M. D. Siriwardane, Yuqi Song, Yong Zhao, Steph-Yves Louis, Alireza Nasiri, Jianjun Hu

The Journal of Physical Chemistry C, Vol. 125, Issue 29, Pages 16118-16128

2021 January

High-Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural Networks

Yong Zhao, Mohammed Al‐Fahdi, Ming Hu, Edirisuriya M. D. Siriwardane, Yuqi Song, Alireza Nasiri, Jianjun Hu

Advanced Science, Vol. 8, Issue 20

2021 January

SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification

Nasiri, Alireza, Hu, Jianjun, Hu, Jianjun

ArXiv

2021 January

DeepSeqPanII: an interpretable recurrent neural network model with attention mechanism for peptide-HLA class II binding prediction

Zhonghao Liu, Jing Jin, Yuxin Cui, Zheng Xiong, Alireza Nasiri, Yong Zhao, Jianjun Hu

IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 19, Issue 4, Pages 2188-2196

2021 January

Remaining Useful Strength (RUS) Prediction of SiCf-SiCm Composite Materials Using Deep Learning and Acoustic Emission

Steph-Yves M. Louis, Alireza Nasiri, Jingjing Bao, Yuxin Cui, Yong Zhao, Jing Jin, Xinyu Huang, Jianjun Hu

Applied Sciences, Vol. 10, Issue 8, Pages 2680

2020 April

Machine Learning based prediction of noncentrosymmetric crystal materials

Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves Louis, Jie Ling, Ming Hu, Jianjun Hu

Computational Materials Science, Vol. 183, Pages 109792

2020 January

Graph convolutional neural networks with global attention for improved materials property prediction

Steph-Yves Louis, Yong Zhao, Alireza Nasiri, Xiran Wang, Yuqi Song, Fei Liu, Jianjun Hu

Physical Chemistry Chemical Physics, Vol. 22, Issue 32, Pages 18141-18148

2020 January

AudioMask: Robust Sound Event Detection Using Mask R-CNN and Frame-Level Classifier

Alireza Nasiri, Yuxin Cui, Zhonghao Liu, Jing Jin, Yong Zhao, Jianjun Hu

2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Pages 485-492

2019 November

DeepSeqPan, a novel deep convolutional neural network model for pan-specific class I HLA-peptide binding affinity prediction

Zhonghao Liu, Yuxin Cui, Zheng Xiong, Alierza Nasiri, Ansi Zhang, Jianjun Hu

Scientific Reports, Vol. 9, Issue 1

2019 January

Online Damage Monitoring of SiCf-SiCm Composite Materials Using Acoustic Emission and Deep Learning

Alireza Nasiri, Jingjing Bao, Donald Mccleeary, Steph-Yves M. Louis, Xinyu Huang, Jianjun Hu

IEEE Access, Vol. 7, Pages 140534-140541

2019 January