《數字内容處理》課程負責人介紹
（一）個人簡介
Danilo Avola 老師于 2014 年畢業于拉奎拉大學，獲得分子和超微結構成像學博士學位，并于 2018 年入職羅馬第一大學，目前為社會研究與傳播學院教師。Danilo Avola 老師主要研究方向為人機交互，計算機視覺，信号處理，機器學習，深度學習，圖像和視頻處理，擔任的社會兼職包括意大利羅馬國家研究委員會（National Research Council）多模式與多媒體（M＆M）實驗室研究工程師。
（二）主講課程
1. 通信信息技術和數字通信技術
2. 數字内容處理
3. 管理與創新經濟學及傳播
（三）主要成就
Danilo Avola 老師從事科研工作以來，已出版學術著作多部，并在《Journal of biomedical informatics》等重要期刊發表學術論文多篇。主要學術成果如下：
1. Avola D, Bernardi M, Cinque L, et al. Exploiting recurrent neural networks and leap motion controller for the recognition of sign language and semaphoric hand gestures[J]. IEEE Transactions on Multimedia, 2018, 21(1): 234-245.
2. Avola D, Spezialetti M, Placidi G. Design of an efficient framework for fast prototyping of customized human–computer interfaces and virtual environments for rehabilitation[J]. Computer Methods and Programs in Biomedicine, 2013, 110(3): 490-502.
3. Avola D, Spezialetti M, Placidi G. Design of an efficient framework for fast prototyping of customized human–computer interfaces and virtual environments for rehabilitation[J]. Computer Methods and Programs in Biomedicine, 2013, 110(3): 490-502.
4. Avola D, Bernardi M, Foresti G L. Fusing depth and colour information for human action recognition[J]. Multimedia Tools and Applications, 2019, 78(5): 5919-5939.
5. Placidi G, Avola D, Petracca A, et al. Basis for the implementation of an EEG-based single-trial binary brain computer interface through the disgust produced by remembering unpleasant odors[J]. Neurocomputing, 2015, 160: 308-318.
6. Avola D, Cinque L, Foresti G L, et al. A keypoint-based method for background modeling and foreground detection using a PTZ camera[J]. Pattern Recognition Letters, 2017, 96: 96- 105.
7. Avola D, Cinque L, Foresti G L, et al. A UAV video dataset for mosaicking and change detection from low-altitude flights[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 50(6): 2139-2149.
8. Avola D, Cascio M, Cinque L, et al. 2-D skeleton-based action recognition via two-branch stacked LSTM-RNNs[J]. IEEE Transactions on Multimedia, 2019, 22(10): 2481-2496.
9. Avola D, Cinque L, Foresti G L, et al. VRheab: A fully immersive motor rehabilitation system based on recurrent neural network[J]. Multimedia Tools and Applications, 2018, 77(19): 24955-24982.
10. Placidi G, Avola D, Iacoviello D, et al. Overall design and implementation of the virtual glove[J]. Computers in biology and medicine, 2013, 43(11): 1927- 1940.
11. Avola D, Bernardi M, Cinque L, et al. Adaptive bootstrapping management by keypoint clustering for background initialization[J]. Pattern Recognition Letters, 2017, 100: 110- 116.
12. Moro S B, Carrieri M, Avola D, et al. A novel semi-immersive virtual reality visuo-motor task activates ventrolateral prefrontal cortex: a functional near-infrared spectroscopy study[J]. Journal of neural engineering, 2016, 13(3): 036002.
13. Avola D, Cinque L, De Marsico M, et al. LieToMe: Preliminary study on hand gestures for deception detection via Fisher-LSTM[J]. Pattern Recognition Letters, 2020, 138: 455-461.
14. Placidi G, Avola D, Ferrari M, et al. A low-cost real time virtual system for postural stability assessment at home[J]. Computer methods and programs in biomedicine, 2014, 117(2): 322-333.
15. Avola D, Bernardi M, Cinque L, et al. Fusing Self-Organized Neural Network and Keypoint Clustering for Localized Real-Time Background Subtraction[J]. Int. J. Neural Syst., 2020, 30(4): 2050016:1-2050016:17.
