个人简介
工作经历
1.2017-11月至2020-11月,加州大学旧金山分校,博士后
2.2020-09月至今,华中师范大学 人工智能教育学部,副研究员
科研项目
国家自然科学基金青年科学基金项目，面向自闭症儿童认知学习与脑功能障碍的脑电源活动精准成像研究（62007013），2021.01-2023.12，主持在研
教育背景
1.2007年至2011年,中国地质大学（武汉）,计算机学院,本科
2.2011年至2017年,中国地质大学（武汉）,计算机学院,博士
3.2015年至2017年,加州大学旧金山分校,医学院,访问学者
4.2017年至2020年,加州大学旧金山分校,医学院,博士后
个人荣誉
1. 孤独症儿童智能教育干预关键技术及其应用，湖北省科技厅，湖北省科学技术进步奖，一等奖，2020。
2. “人工智能+特殊教育”团队，华中师范大学“校长奖”，2020。
3. Cai C & Nagarajan, S. S. A simulation benchmark of EEG and MEG based brain connectivity estimation pipelines Category MEG-based localization. Data Analysis Competition Winner, 2016, The 20th International Conference on Biomagnetism, Seoul, Korea.
4. Chang Cai, Stefan Haufe, Ali Hashemi, Kensuke Sekihara & Srikantan S Nagarajan. Interference removing, noise learning, and Bayesian reconstruction of electromagnetic brain imaging. Outstanding Trainee Speaking Award. 2019 MEG North America Workshop, Bethesda, MD, USA.
5. Mithun Diwakar, Chang Cai & Srikantan Nagarajan. Robust and Efficient High-resolution Beamformer Reconstruction of Magnetoencephalographic Brain Imaging Data Using Low-Resolution Sparse Bayesian Learning. Best Poster Award. 2019, 16th Annual UCSF Radiology Imaging Research Symposium. University of California, San Francisco, USA.
6. Chang Cai. Work-at-Home award. 2020, University of California, San Francisco, USA.
近期论文
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1.Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Mu ̈ller, Srikantan S. Nagarajan, and Stefan Haufe (2021), Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging. 35th Conference on Neural Information Processing Systems (NeurIPS 2021).
2.Cai C, Chen J, Findlay A, Mizuiri D, Sekihara K, Kirsch HE and Nagarajan SS (2021) Clinical Validation of the Champagne Algorithm for Epilepsy Spike Localization. Frontiers in Human Neuroscience. 15:642819. doi: 10.3389/fnhum.2021.642819.
3.Cai C, Hashemi A, Diwakar M, et al. Robust estimation of noise for electromagnetic brain imaging with the Champagne algorithm[J]. NeuroImage, 2020, 225: 117411. (top，Q1，中科院分区，1区，top)
4.Cai C, Diwakar M, Chen D, et al. Robust Empirical Bayesian Reconstruction of Distributed Sources for Electromagnetic Brain Imaging[J]. IEEE Transactions on Medical Imaging, 2019, 39(3): 567-577. ( top，Q1，中科院分区，1区，top)
5.Cai C, Xu J, Velmurugan J, et al. Evaluation of a dual signal subspace projection algorithm in magnetoencephalographic recordings from patients with intractable epilepsy and vagus nerve stimulators[J]. NeuroImage, 2019, 188: 161-170. (top，Q1，中科院分区，1区，top)
6.Cai C, Sekihara K, Nagarajan S S. Hierarchical multiscale Bayesian algorithm for robust MEG/EEG source reconstruction[J]. NeuroImage, 2018, 183: 698-715. (top，Q1，中科院分区，1区，top)
7.Cai C, Zeng K, Tang L, et al. Towards adaptive synchronization measurement of large-scale non-stationary non-linear data[J]. Future Generation Computer Systems, 2015, 43: 110-119. (Q1，中科院分区，1区，top)
8.Cai C, Kang H, Kirsch H E, et al. Comparison of DSSP and tSSS algorithms for removing artifacts from vagus nerve stimulators in magnetoencephalography data[J]. Journal of neural engineering, 2019, 16(6): 066045. (Q1，中科院分区，2区)
9.Ali Hashemi; Chang Cai; Gitta Kutyniok; Klaus-Robert Müller; Srikantan S Nagarajan; Stefan Haufe. Unification of Sparse Bayesian Learning Algorithms for Electromagnetic Brain Imaging with the Majorization Minimization Framework [J]. NeuroImage, 2021
10.Xie X, Cai C, Damasceno P F, et al. Emergence of Canonical Functional Networks from the Structural Connectome[J]. NeuroImage, 2021: 118190.
11.Raj A, Cai C, Xie X, et al. Spectral graph theory of brain oscillations[J]. Human Brain Mapping, 2020.（一作和最后作者为PI）
12.Bhutada A S, Cai C, Mizuiri D, et al. Clinical Validation of the Champagne Algorithm for Evoked Response Source Localization in Magnetoencephalography[J]. Brain Topography, 2021: 1-12.
13.Shang, Y., Hinkley, L. B., Cai, C., Mizuiri, D., Cheung, S. W., & Nagarajan, S. S. (2019). Cross-modal plasticity in adult single-sided deafness revealed by alpha band resting-state functional connectivity. NeuroImage, 116376.
14.Shang, Y., Hinkley, L. B., Cai, C., Subramaniam, K., Chang, Y. S., Owen, J. P., ... & Cheung, S. W. (2018). Functional and Structural Brain Plasticity in Adult Onset Single-Sided Deafness. Frontiers in Human Neuroscience, 12, 474.
15.Chang, Jolie L.; Crawford, Ethan D.; Bhutada, Abhishek S.; Henderson Sabes, Jennifer; Chen, Jessie; Cai, Chang; Dale, Corby L., Findlay, Anne M.; Mizuiri, Danielle; Nagarajan, Srikantan S.; Cheung, Steven W. Interhemispheric Auditory Cortical Synchronization in Asymmetric Hearing Loss, Ear and Hearing: March 26, 2021 - Volume Publish Ahead of Print - Issue - doi: 10.1097/AUD.0000000000001027
16.Sekihara, K., Adachi, Y., Kubota, H. K., Cai, C., & Nagarajan, S. S. (2018). Beamspace dual signal space projection (bDSSP): a method for selective detection of deep sources in MEG measurements. Journal of neural engineering, 15(3), 036026.
17.Subramaniam, K., Hinkley, L. B., Mizuiri, D., Kothare, H., Cai, C., Garrett, C., ... & Nagarajan, S. S. (2019). Beta-band activity in medial prefrontal cortex predicts source memory encoding and retrieval accuracy. Scientific reports, 9(1), 6814.
18.Chen D, Hu Y, Cai C, Zeng K, Li X. Brain big data processing with massively parallel computing technology: challenges and opportunities. Software: Practice and Experience. 2017 Mar 1;47(3):405-20.
19.D. Chen, X. Li, L. Wang, S. Khan, J. Wang, K. Zeng, C. Cai, "Fast and Scalable Multi-way Analysis of Neural Data,” IEEE Transactions on Computers, 10.1109/TC.2013.2295806, 2013.
20.Chen D, Lu D, Tian M, He S, Wang S, Tian J, Cai C and Li X，“Towards Energy-efficient Parallel Analysis of Neural Signals”, ClusterComputing (Springer), 16(1):39-53, 2013.
21.Leighton B Hinkley, Corby L Dale, Chang Cai, Johanna Zumer, Sarang S Dalal, Anne Findlay, Kensuke Sekihara, Srikantan S Nagarajan. NUTMEG: Open Source Software for M/EEG Source Reconstruction. Frontiers in Neuroscience. 2020, 14: 710.
22.Cai C, Sekihara K, and Nagarajan S S. A Novel Scanning Algorithm for MEG/EEG imaging using Covariance Partitioning and Noise Learning. In 2019 the 41st International Engineering in Medicine and Biology Conference, IEEE/EMBC, Berlin, Germany （EI国际会议）
23.Cai, C., Diwakar, M., Sekihara, K., & Nagarajan, S. S. (2019, March). Robust Bayesian algorithm for distributed source reconstructions MEG/EEG data. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 336-339). IEEE. （EI国际会议）
24.Cai C, Sekihara K and Nagarajan S S, "Hierarchical multiscale Bayesian algorithms for biomagnetic brain imaging," 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), Shanghai, 2017, pp. 142-145. （EI国际会议）
25.Cai C, Chen H, Deng Z, Chen D, Khan S, Zeng K, and Wu M, "GPGPU-Aided 3D Staggered-grid Finite-difference Seismic Wave Modeling," in 12th International Conference on Scalable Computing and Communications (ScalCom), Changzhou, China, December 2012.
26.Cai C, Wang L, Tao J, Chen D, "Energy-aware High Performance Computing - A Taxonomy Study,” Proceedings of IEEE ICPADS2011 (In conjunction with DCIA2011), Tainan, Dec. 2011. （EI国际会议）
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