CV/Bio

Download my latest Curriculum Vitae

Education

• Incoming Ph.D. Student in Information Science, School of Computing and Information Science, Cornell University, Advisor: Professor Cheng Zhang, Jan. 2021 - Aug. 2026 (Expected)
• B.S. in Information Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University (SJTU), Sept. 2016 - Jul. 2020
  • Overall GPA: 91.41/100 (Rank 3/158)
  • Major GPA: 91.16/100 (Rank 5/158)
  • Relevant Courses: Calculus (89), Linear Algebra (90), Thinking and Approach of Programming (93), Discrete Mathematics (96), Probability and Statistics (96), Data Structure (93), ARM Embedded Systems and its Experiments (96), Computer Network (90), Principles and Experiments of Communications (99), Digital Signal Processing (AI) (92), Fundamentals of Communication Circuits (99), Machine Learning (AI) (93), Intelligent Internet of Things (96)
• Summer Intern in Electrical and Computer Engineering, Carnegie Mellon University (CMU), Supervisor: Professor Swarun Kumar, Jul. 2019 - Sept. 2019
  • Proposed TagAttack, a system that builds the first near-field MIMO technique which can largely extend the NFC communication and designed a bunch of MIMO coils which consist of printed circuit copper and capacitors.
  • Submitted a paper based on the NFC project to the journal IPSN 2021.
  • Click here to see a poster summarizing my work at CMU.
• Senior High School at Jiangsu Suzhou Experimental Middle School, Sept. 2013 - Jun. 2016.
  • Ranked Second of Senior High School in National College Entrance Examination
  • Granted Merit Student Award of Jiangsu Province

Publications

QLEC: A Machine-Learning-Based Energy-Efficient Clustering Algorithm to Prolong Network Lifespan for IoT in High-Dimensional Space

Ke Li, Haowei Huang, Xiaofeng Gao, Fan Wu and Guihai Chen. (2019). "QLEC: A Machine-Learning-Based Energy-Efficient Clustering Algorithm to Prolong Network Lifespan for IoT in High-Dimensional Space." The 48th International Conference on Parallel Processing (ICPP). Article No. 105. Pages 1–10.

A Constant Factor Approximation for d-Hop Connected Dominating Set in 3-Dimensional Wireless Network

Ke Li, Xiaofeng Gao, Fan Wu and Guihai Chen. (2019). "A Constant Factor Approximation for d-Hop Connected Dominating Set in 3-Dimensional Wireless Network." IEEE Transactions on Wireless Communications (TWC). 18(9): pp. 4357-4367.

Research & Contests

• Design and Implementation of Broadcast Mechanism in Large-Scale Internet of Things, Undergraduate Thesis at SJTU, Supervisor: Prof. Xiaohua Tian, Sept. 2019 – Jun. 2020
  • Designed and implemented the first parallel downlink scheme for backscatter communication.
  • Proposed the parallel communication and control system under the broadcast mechanism in large-scale Internet of Things.
  • Verified the feasibility of my design on Keysight ADS, a simulation software, and on a PCB-based prototype.
  • Click here to see my undergraduate thesis (in Chinese with two English abstracts).
• A Fast Approximation for SVC-Based Adaptive Streaming Network in D2D Communications, Research Assistant at Shanghai Key Laboratory of Scalable Computing and Systems, SJTU, Supervisor: Prof. Xiaofeng Gao, Apr. 2018 - Jun. 2019
  • Designed an efficient service scheme transmitting Scalable Video Coding-based Adaptive Streaming (SVC-AS) in D2D communications; Proposed a fast D2D Multimedia Transmission Scheme based on the Minimum-Degree Spanning Tree (MDST) algorithm with an acceptable running time.
  • Evaluated the performance and efficiency of the scheme using a real-world dataset based on NS2, where it outperformed the baseline scheme FlashLinQ in all areas.
• Crowdsourcing Task Assignment Strategy and Optimization Based on Social Network, The 18th Innovation and Practice Plan for Undergraduates of SJTU, Supervisor: Prof. Xiaofeng Gao, Nov. 2018 - Dec. 2019
  • Optimized the task assignment scheme in spatial crowdsourcing and proposed efficient truth inference algorithms.
  • Measured the fairness of the whole system using Jain’s Fairness Index after a preliminary experiment.
  • Processed the data and conducted experiments on online crowdsourcing platforms.
• DREAM: An Ecological Game to Grow and Migrate Three Dragons, American Mathematical Contest in Modeling, Meritorious Winner (Top 6%), Team leader, Jan. 2019.
  • Devised Dragon-Raising Ecology and Annual Migration (DREAM) model to describe the biological features of dragons, and calculate energy expenditures and ecological requirements for raising three dragons.
  • In Dragon-Raising Ecology model, Logistic Model, Fourier Law of Heat Conduction, Maxwell’s Velocity Distribution Law, and other well-proved theories were employed to construct the foundations of our model. Meanwhile, Markov Chain was hired to calculate the probability of dragons in resting, flying, fighting, and death state. Combining Dragon-Raising Ecology model with analogy method and modest estimation, we obtained energy expenditures of weight growth, basic metabolism, temperature maintaining and evaporation energy dissipation.
  • Applied Thin Airfoil Theory to calculating energy of flying energy dissipation in Annual Migration model. Adopting the integrity of our DREAM model, we further calculated total energy expenditures, caloric intake as well as the size of area and community required to support dragons.
  • Click here to see our MCM paper.
• Modeling Trends of Global Languages and Location Options for New Offices, American Mathematical Contest in Modeling, Meritorious Winner (Top 10%), Team leader, Feb. 2018.
  • Designed a Speaker Prediction Model that used study time of a language in a country to predict the distribution and numbers of various language speakers over time in different countries, based on the 10,000-Hour Rule.
  • Proposed a Location Selection Model to provide location options for new offices using the Analytic Hierarchy Process and optimized the options with the Genetic Algorithm.
  • Click here to see our MCM paper.
• Development of Immersion Stereometric Manipulation Replacement Robot, The 32nd Participation in Research Program of SJTU, Apr. 2017 - Oct.2017
  • Designed binocular stereo glasses to observe the remote scene; Controlled the robot with a handle and gloves.
  • Received an A grade as the team leader and best performer in the project.
  • Click here to see our final report (in Chinese).

Technical skills

• Programming Language
  • C / C++, Python, Java
• Platforms and Tools
  • MATLAB, NS2, LaTeX, LabVIEW

English proficiency

• TOEFL: 108
  • Reading 30, Listening 26, Speaking 23, Writing 29
• GRE: 321
  • V152 Q169+AW4