丁琰 2016级硕士

I am a Ph.D. candidate majoring in Computer Science and Research Associate in State University of New York (SUNY), Binghamton, USA since the fall semester 2019. I obtained my undergraduate and master degree from Chongqing University, China in 2016 and 2019, seperately. I am passionate in solving issues and creating unexplored values for people. I was the only one who won the HUAWEI First Scholarship at Chongqing University (master, 2018), the only “Academic Star in 2018” at College of Computer Science at Chongqing University, as well as the only “Academic Star in 2019” at BDSC group. I have seven papers as the first author, including PerCom and IEEE TITS. I am open to all kinds of academic communication. Please feel free to contact me via duke_ding@sina.cn.”

                    Oral presentation (Hawaii, USA)                                Life photo                                With little sister

Education

2016.9 ~ Present, Chongqing University, China

Master Candidate, College of Computer Science, majoring in Computer Science and Technology

Supervised by Prof. Chao Chen

2014.9 ~ 2016.6, Chongqing University, China (Top 15 in Mechanical Engineering)

Undergraduate, College of Mechanical Engineering, majoring in Mechatronics Engineering

2012.9 ~ 2014.6, Chongqing University, China (Top 5 in Vehicle Engineering)

Undergraduate, HongShen Honors School, majoring in Vehicle Engineering

Research Interest

Map-mapping; Trajectory Compression; Personalized Driving Route Recommendation.

Publications (#equal contribution) :

[1]Yan Ding, Chao Chen, et al. GreenPlanner: Planning personalized fuel-efficient driving routes using multi-sourced urban data. IEEE International Conference on Pervasive Computing and Communications, Pages 207-216, Hawaii, USA, March 13-17, 2017. (CCF-B, accepted rate:14.8%)

[2]Yan Ding, Chao Chen, et al. Fuel Consumption Estimation of Potential Driving Paths by Leveraging Online Route APIs, The 13th International Conference on Green, Pervasive and Cloud Computing, Pages X-Y, Hangzhou, China, April 11-14, 2018. (EI-index)

[3]Yan Ding, Chao Chen, et al. An Online Trajectory Compression System Applied to Resource-Constrained GPS Devices in Vehicles, 2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops), Pages X-Y, HongKong, China, June 11-13, 2018. (CCF-B)

[4]Chao Chen#, Yan Ding#, et al. A Three-stage Online Map-Matching Algorithm by Fully Using Vehicle Heading Direction. In: Journal of Ambient Intelligence and Humanized Computing, 2018.? (CCF-C, IF 1.588)

[5]Chao Chen#, Yan Ding#, et al. A Novel Online Trajectory Compression Framework Leveraging Vehicle and Heading Direction and Change. In: IEEE Transactions on Intelligent Transportation Systems, 2018.(accepted, IF 4.07)

[6]Chao Chen#, Yan Ding#, et al. VTracker: When Online Trajectory Compression Meets Edge Computing. In: IEEE Transactions on Industrial Informatics, 2018, (major revision, IF 6.764)

[7]Yan Ding, et al. Eco-Route: Recommending Economical Driving Routes For Plug-in Hybrid Electric Vehicles. (Technical Report, axriv)

[8] Yuanjian Zhang, Chu Liang, Yan Ding, et al. A Hierarchical Energy Management Strategy Based on Model Predictive Control for Plug-in Hybrid Electric Vehicle. In: IEEE Transactions on Vehicular Technology, 2018. (submitted in 2018.06, IF 4.432)

[9] Chao Chen#, Yan Ding#, et al. DAVT: An Error-bounded Trajectory Data Representation and Compression Framework. In: IEEE Transactions on Knowledge and Data Engineering (submitted in 2019.03, IF 3.592)

Porject

[1] FuelVisualizer (left) is to display the fuel consumption of vehicles in the city of Beijing, China. Fuel consumption is classified into three types i.e., high (blue), medium (yellow) and low (red) in terms of the fuel consumption per hundred kilometers. More details can be found in the paper[1].

[2] GreenAPI (middle) is to recommend the most fuel-efficient driving route for users among all routes from the beginning to the destination provided by online route APIs (e.g., Gaode Map). More details can be found in the paper[2].

[3] TrajCompressor (right) is to compress the raw trajectory data online to alleviate the overhead caused by data storage and communication. More details can be found in the paper[3][5].

Patent

[1] Chao Chen, Yan Ding, Liang Feng, Yun Lin, Yandong He, CN 107014389 A (2017)
[2] Yuan Wang, Yun Kong, Rui Yan, Yan Ding, Yi Zhong Hui Zhan Shi Chong Xi Ping, CN 203936094 U (2014)
[3] Chao Chen, Yan Ding, Liang Feng, Yun Lin and Yandong He, CN 107014389 A (2017)