王颢然，1996年生，博士，副教授，硕士生导师，中共预备党员。主要研究方向兽医信息学，从事动物普通病和动物传染病风险监测与评估技术的研究与应用。基于人工智能等现代信息技术实现对动物疾病的诊断、监测与精准预警，包括：
1）动物传染病生态学研究
2）动物疾病智能化诊断技术的研究与应用
3）动物传染病风险监测与预警技术的研究与应用
熟练掌握R、Python、HTML、Javascript、CSS等技术，先后开发了如下可公开访问的网络应用：
1）奶牛酮病风险预测平台-PreCowKetosis(https://2xzl2o-neaop.shinyapps.io/PreCowKetosis)
2）动物传染病数据挖掘平台-EpiMining (https://whr0458.shinyapps.io/EpiMining)
3）中国库蠓分布数据库(https://2xzl2o-neaop.shinyapps.io/Culicoides)
4）不确定情境下传染病风险评估R包(https://github.com/Neaop/SpatMCDA)
以第一作者身份在Computers and Electronics in Agriculture、Infectious Diseases of Poverty和Methods in Ecology and Evolution等刊物发表文章11篇，获国家软件著作权5项。
1. 2023年 东北农业大学“骨干人才”项目 30万
2. 2024年 新时代龙江优秀硕士、博士毕业生学位论文项目 5万
3. 2024年 国家自然青年科学基金项目 30万
1.Wang H, Zeng J, Gao X, et al. SpatMCDA: An R package for assessing areas at risk of infectious diseases based on spatial multi‐criteria decision analysis[J]. Methods in Ecology and Evolution, 2024.
2.Wang H, Liu T, Gao X, et al. Impact of climate change on the global circulation of West Nile virus and adaptation responses: a scoping review[J]. Infectious Diseases of Poverty, 2024, 13(1): 38.
3.Wang H, Sui X, Wang X, et al. Invasion alert forWasmannia auropunctata: a potential distribution in southern China and associated invasion risk to urban, rural, agricultural, and forest lands[J]. Journal of Pest Science, 2024, 97(2): 597-612.
4.Wang H, Guo T, Wang Z, et al. PreCowKetosis: A Shiny web application for predicting the risk of ketosis in dairy cows using prenatal indicators[J]. Computers and Electronics in Agriculture, 2023, 206: 107697.
5.Wang H, Zhang Q, Liu R, et al.Impacts of changing climate on the distribution ofSolenopsis invictaBuren in Mainland China: Exposed urban population distribution and suitable habitat change[J]. Ecological Indicators, 2022, 139: 108944.
6.Wang H, Xiao J, Ouyang M, et al.Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis[J].BMC veterinary research, 2021, 17(1): 1-12.
7.Wang H, Zhu Z, Wu J, et al.Effect of type II diabetes-induced osteoarthritis on articular cartilage aging in rats: A study in vivo and in vitro[J]. Experimental Gerontology, 2021, 150: 111354.
8.Wang H, Xu Y, Ouyang M, et al. Potential risk factors of swine erysipelas outbreak in Northeast Mainland China[J].Transboundary and Emerging Diseases, 2021,68(3): 1652-1662.
9.Zhu Z,Wang H, Gao L, et al. Monitoring and early warning system of porcine pasteurellosis based on WebGIS[J]. Information Processing in Agriculture, 2021, 8(1): 148-158.(共同第一)
10.王颢然,肖建华,欧阳茂霖,等.基于贝叶斯累加回归树评估中国非洲猪瘟发生风险区域[J].农业工程学报,2022,38(11):180-187.
11.王颢然,等.2008-2018年我国猪流行性腹泻病毒混合感染分析[J].中国动物传染病学报, 2020, 3: 97-103.
