林迪[電子科技大學信息與軟體工程學院副教授]

林迪,男,漢族。2007年哈爾濱工業大學通信工程本科畢業,2009年哈爾濱工業大學通信工程碩士畢業,2013年加拿大麥吉爾大學電子與計算機工程系博士畢業。曾任加拿大渥太華大學MET實驗室助理研究員,加拿大IBM Business Analytics and Performance 中心副研究員,加拿大麥吉爾大學工程學院TSP實驗室科研顧問。現任電子科技大學信息與軟體工程學院副教授,碩士生導師。在IEEE Internet of Things Journal, Neurocomputing, IEEE Systems Journal, IEEE Journal of Biomedical and Health Informatics等國內外期刊及國際會議上發表論文20餘篇,其中SCI/EI檢索10餘篇。主持完成國家自然科學青年基金項目等國家級項目,曾作為骨幹成員參與國家863計畫、四川省科技支撐計畫項目。研究方向:大數據分析、物聯網、移動雲計算。

科研項目

近年來,大數據計算和分析相關項目工作匯總如下

1. 基於社交網路數據的用戶差異化定價模型:該項目於2012年在加拿大IBM Business Analytics and Performance中心完成,主管是麥肯錫公司數據科學家Jacomo Corbo博士。項目基於開源社區資料庫中提供的T級自媒體平台數據,分析如何找到網路中的重要節點用戶,並根據用戶的重要性進行差異化定價。該項目成果提出了差異化定價體系,可以提高公司利潤近。基於該項目成果,於2012年國際信息系統大會上做主題演講,成果收錄於大會論文集。

2. 基於大數據分析的醫療協作效率最佳化:該項目於2013年在加拿大IBM Business Analytics and Performance中心完成,主管是渥太華大學Telfer學院醫療信息主任Jonathan Patrick教授。項目基於Geisinger計畫提供的T級醫院臨床管理數據,分析如何最佳化醫療機構的團隊協作效率。該項目成果提升了醫療團隊的協作效率,節省了醫療操作時間近30%。項目成果發表於Springer期刊。

3. 基於數據挖掘的併發症臨床決策輔助系統:該項目於2012年在加拿大渥太華大學MET實驗室完成,主管是渥太華大學Telfer學院副院長Wojtek Michalowski教授。項目基於東安大略省兒童醫院的臨床數據,採用機器學習算法和邏輯約束模型,構建了併發症臨床決策輔助系統。基於該項目成果,於第14屆國際醫療與健康信息大會上做主題演講,成果收錄於大會論文集。

4. 醫療保險騙保行為預警:該項目於2015-2017年在電子科技大學完成,基於合作社保單位的5年社保數據,採用機器學習算法,對醫療保險騙保行為進行了預測,預測準確度達到93%,有效地對騙保行為進行了預警。該項目成果正在申請專利,並準備發表論文。

學術成果

近年來,主要學術成果匯總如下:

1、期刊論文(Journal Publications) :

1) Di Lin*,Tang Y, Yao Y, et al. User-priority based power control over the D2D assisted Internet of vehicles for mobile health[J]. IEEE Internet of Things Journal, 2017, PP(99):1-1. (SCI檢索:EY2RE,影響因子: 7.596)

2) Di Lin*,Tang Y, Vasilakos A V. User-Priority-Based Power Control in D2D Networks for Mobile Health[J]. IEEE Systems Journal, 2017, PP(99):1-9.(SCI檢索期刊,影響因子: 3.881)

3) Di Lin*,Vasilakos A V, Tang Y, et al. Neural networks for computer-aided diagnosis in medicine: A review[J]. Neurocomputing, 2016, 216:700-708.(SCI檢索:ED3VU,影響因子: 3.211)

4) Di Lin*,Yao Y, Labeau F, et al. Optimal Network QoS over the Internet of Vehicles for E-Health Applications[J]. Mobile Information Systems, 2016(7387):1-11.(SCI檢索:DF6WR,影響因子: 1.000)

5) Di Lin*, Fabrice Labeau, Athanasios V Vasilakos. "QoE-based optimal resource allocation in wireless healthcare networks: opportunities and challenges". March 2015, Wireless Networks. (SCI檢索:CZ4JX,影響因子: 1.555)

6) Di Lin*, Fabrice Labeau, Yuanzhe Yao, Athanasios V.Vasilakos, Yu Tang. "Admission Control over Internet of Vehicles attached with Medical sensors for Ubiquitous Healthcare Applications". May 2015, IEEE Journal of Biomedical and Health Informatics (J-BHI). (SCI檢索:DR8DJ,影響因子: 3.485)

7) Di Lin*, Xuanli Wu, Fabrice Labeau and Athanasios Vasilakoshas. “Internet of Vehicles for E-Health Applications in view of EMI on Medical Sensors". Journal of Sensors. Vol. 2015, 315948, 2015. (SCI檢索:CF2QQ,影響因子: 1.743)

8) Di Lin*, Yu Tang, Fabrice Labeau, Yuanzhe Yao, Muhammad Imran, Athanasios Vasilakoshas. “Internet of Vehicles for E-health Applications: APotentialGamefor Optimal Network Capacity". IEEE Systems Journal. (SCI檢索期刊,影響因子: 3.881)

9) Di Lin*, Jonathan Patric March 2015,k, Fabrice Labeau. Estimating the waiting time of multi-priority emergency patients with downstream blocking. Health Care Management Science. 17 (1), 88-99, 2013. (SCI檢索:AD0WB,影響因子: 1.895).

10) D. Lin*, X. L. Wu, and X. J. Sha. Fractional Fourier transform based transmitted reference scheme for UWB communications. Science in China Series F-Information Sciences. 54 (8), pp.1712-1722, 2012. (SCI檢索:798FN,影響因子: 1.151).

11) D Lin*and F. Labeau. An algorithm that predicts CSI to allocate bandwidth for healthcare monitoring in hospital's waiting rooms. International Journal of Telemedicine and Applications. Vol. 2012, Article ID 843527, 2012. (EI檢索: 12659673).

2、會議論文(Conference Presentations) :

1) D. Lin*, X. Zhang, F. Labeau and G. Kang. Analysis on the accuracy of a decision support system for hypertension monitoring. Proc. of IEEE Vehicular Technology Conference-Spring, pp.1-5, 2012. (EI檢索: 12865761)

2) D. Lin*and F. Labeau. Accelerated genetic algorithm for bandwidth allocation in view of EMI for wireless healthcare. Proc. of IEEE Wireless Communications and Networking Conference (WCNC), pp.3350-3355, 2012. (EI檢索: 12805237)

3) D. Lin*, F. Labeau, X. Zhang and G. Kang. A hypertension monitoring system and its system accuracy evaluation. Proc. of IEEE 14th IEEE International Conference on e-Health Networking, Application & Services (HealthCom), pp.100-104, 2012. (EI檢索: 13175745)

4) Di Lin*, Fabrice Labeau,XidongZhang,GuiXiaKang. Scheduling medical tests: A solution to the problem of overcrowding in a hospital emergency department, Proc. of IEEE 14th IEEE International Conference on e-Health Networking, Application & Services (HealthCom), pp.105-108, 2012. (EI檢索:13175849)

5) D. Lin*, F. Labeau. Bandwidth allocation in view of EMI on medical equipments in healthcare monitoring systems, Proc. of IEEE 13th IEEE International Conference on e-Health Networking, Application & Services (HealthCom), pp.100-108, 2011. (EI檢索: 12271126)

6) Di Lin*, Fabrice Labeau. Schemes of bandwidth allocation for medical data transmission. Proc. of IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, pp.27-30, 2011. (EI檢索: 11861858)

7) D. Lin*, F. Labeau and G. Kang. Performance analysis on systems for monitoring hypertensive patients in a comorbid condition. Proc. of IEEE International Conference on Prognostics and Health Management (PHM), pp.1-7, 2013.

3、專著(Book Chapters) :

1) D. Lin*and F. Labeau. Enhancing network patient capacity in a WLAN for in-hospital healthcare monitoring. Health Informatics: An adaptive Communication Technology for future Healthcare, Nova Publishers, June 2012.

2) D. Lin*and F. Labeau. Concepts and Trends in Healthcare Information Systems. Annals of Information Systems Series, Springer Publishers, Jan 2014.

教學情況

近年來,主要教學情況匯總如下 :

本科課程:《大數據計算技術》、《信息工程導論》、《IT工程師職業基礎》、《軟體體系架構與設計模式》 Big Data Computing Technology,Introduction to Information Engineering,Professional Fundamentals for IT Engineers,Software Architecture and Module Design

研究生課程:《軟體架構模型與設計》Sofware Architecture Model and Design

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