湖北大学计算机学院胡院长,胡书山-湖北大学计算机与信息工程学院
胡书山出生于 1987 年 3 月，在获得博士学位之前已在武汉大学分别获得了学士学位（于 2009 年）、硕士学位（于 2011 年）以及博士学位（于 2014 年）。他现为湖北大学副教授并拥有硕士指导资格。作为入选湖北省"楚天学者"人才计划的学者之一,他目前担任中国计算机学会武汉YOCSEF副主席。曾获 Irish University of Dublin City 联合培养博士学位资格,并曾在 Irish University of Dublin Energy Research Center从事博士后研究工作（自 2016 年 7 月起回湖北大学工作）。
该中心致力于开展深度学习算法及智慧建筑领域的跨学科研究工作。其主要研究方向包括：通过视频流结合深度神经网络实现室内人员定位与行为模式识别的技术方案；运用时空数据流结合深度学习模型进行数据预测的技术路径；以及利用知识图谱技术整合多源异构数据并实现有效推理的应用方法。
截至目前负责省部级科研项目2项，
获得发明专利权2项，
完成发明专利申请9项，
出版高水平研究论文19篇，
其中SCl期刊论文12篇，
获得软件著作权15项
通信地址：中国湖北省武汉市湖北大学计算机与信息工程学院邮编：430062
E-MAIL：shushan.hu@hubu.edu.cn
代表作如下：
Shushan Hu et al. developed a method for Building Occupancy Detection and Localisation using Deep Learning for Surveillance Video. The work was submitted to IEEE Transactions on Industrial Informatics (a journal in the first quadrant with an impact factor of 9.112) in 2021.
Hu Shushan and Wang Jia have contributed to research on indoor environmental quality and building energy performance assessment using linked data and cross-domain semantic reasoning. This study was published in Automation in Construction (核心期刊) with the ISSN XXXX-XXXXX. The research was completed in the year 2021, featured in volume 124 of the journal, under the article identifier XXXX-XXXX.
Yehong Li et al., propose an approach for information sharing leveraging linked data to address the challenge of achieving buildings and cluster with net-zero energy efficiency. The study was published in the journal Automation in Construction as a one-zone category paper with a source citation ranking of SCI-1 and an impact factor of 5.669. The research was conducted in the year 2021, volume number 124, issue number unspecified, page number 103592.
-
Shushan Hu, Cathal Hore, James O’Donnell, Building performance assessment based on scenario modeling and fuzzy analytic network process in Applied Energy (one区 SCI with an impact factor of 8.848), 2019
-
Shushan Hu et al., Assessing building performance with OpenMath and Linked Data. Energy and Buildings (属于一区SCI期刊，具有较高的影响因子值为4.867), 2018, Vol.174, pp.484-494;
-
Shushan Hu, Edward Corry, Edward Curry, William Turner, James O’Donnell. An integrated framework designed to incorporate contextual data and time series datasets for building performance optimization. Automation in Construction (一区SCI, 影响因子: 5.669), 2016, 卷号70期：第50至第60页;
Edward Corry, Pieter Pauwels, Shushan Hu, Marcus Keane, James O'Donnell propose a performance-based assessment framework for building sustainability and efficiency management within Automation in Construction (a journal with a one-zone classification SCI impact factor of 5.669) in the year 2015 volume number 57 pages 249 to 259
-
Shushan Hu et al., Evaluating the energy performance of Chinese campus buildings through a fuzzy analytic network methodology, Journal of Intelligent & Fuzzy Systems (三区SCI, 影响因子: 1.637), 2015, 29: 2629-2638.
-
Shushan Hu; Feng Liu; Cunchen Tang; Xiaojun Wang, adaptable and resilient wireless home network architecture published in the International Journal of Sensor Networks (a journal classified as four-zone SCI with an impact factor of 1.289) in the year 2016 during volume number two, pages spanning from page 116 to page 126
一种分布式且高效的智能家居系统架构发表于《国际传感器网络学报》（该期刊属于四区SCI期刊, 影响因子为1.289）, 其中探讨了基于智能 homes 的分布与高效设计问题；研究对象涵盖年份为二零一六年的卷号为二十期号二, 其中文章具体发表页码为一至百一十九至一百三十
采用一种高效的分布式地址分配方案用于低速率无线个人区域网络的研究（EI检索）发表于《计算机科学》期刊中卷号第期页码
12.苏珊·胡；陈unchen汤；李吉余；冯力；王小军,基于物联网的智能煤矿监控系统——基于第3届消费电子展（EI收录）会议论文集《通信与网络》（西安），2013年