Dongda Li Dongda Li

Gender: Male
E-mail: dli160@syr.edu
Website: https://dongdongbh.tech
Scholar: Google scholar

Research Interests

Statistical Learning and Autonomous Systems

Education

Syracuse University 08/2023-present

Department of Electrical Engineering and Computer Science
Advisor:Senem Velipasalar
PhD, major in Computer Science

Xi’an University of Technology　　　　　　　　　09/2011-06/2015

B.S., major in Automation
Advisor: Yingming YI
Specialized courses included automatic control theory, signal and system analysis, motion control technology, computer control technology, sensor technology, C++ language, embedded system, circuit theory, etc.

Work Experience

Teaching Assistant 　　 　　08/2023-present

Syracuse University
Department: Department of Electrical Engineering and Computer Science
Course: CPS181: Introduction to Computing; CIS675: Design and Analysis of Algorithms

Robotic Engineer　　　　　09/2022-07/2023

Goertek Robotic Inc. (Shanghai)
Department: Algorithm group, R&D Department
Duty: Robotic perception and control, planning, SLAM, system identification, trajectory planning.

Robotic Engineer　　　　　　　　　　　　　　　　　　　07/2015-06/2016

Beijing Zhonghangzhi Inc.
Department: Control group, R&D Department
Duty: Robotic navigation and control

Research Experience

Research Assistant　　　　　　　　　　　　　　　　　　　06/2018-08/2022

Cyberspace Institute of Advanced Technology
Guangzhou University
Supervisors: Zhaoquan Gu
Research Area: Reinforcement learning, Neural Combinatorial Optimization, Meta-learning

Research Assistant　　　　　　　　　　　　　　　　　　　08/2017-05/2018

The Department of Compute Science
The University of HongKong
Supervisors: Francis C.M. Lau, Yuexuan Wang and Heming Cui
Research Area: Robotic Network, Wireless Sensor Network, Internet of Things

Research Assistant　　　　　　　　　　　　　　　　　　　07/2016-07/2017

Unmanned Aerial Vehicle Autonomous Control Institute
Beijing Institute of Technology
Supervisor: Defu Lin
Research Area: Unmanned Aerial Vehicle Control System, Navigation System, Data Fusion

Publication

  • Dongda Li, Zhaoquan Gu, Yuexuan Wang, Changwei Ren, and Francis C.M. Lau. One model packs thousands of items with recurrent conditional query learning. Knowledge-Based Systems, 235:107683, 2022. ISSN 0950-7051.
  • Zhaoquan, Gu, Dongda Li, Nadra Guizani, Xiaojiang Du, and Zhihong Tian. “An Aerial-Computing-Assisted Architecture for Large-Scale Sensor Networks.” IEEE Wireless Communications 28, no. 5 (2021): 43-49.
  • Dongda Li, Yuexuan Wang, Zhaoquan Gu, Tong Shen, Tianhao Wei, Yongqin Fu, Heming Cui, Mingli Song, Francis C. M. Lau. Adler: A Resilient, High-Performance and Energy-Efficient UAV-Enabled Sensor System. TR-2018-01
  • Tong Shen, Yuexuan Wang, Zhaoquan Gu, Dongda Li, Zhen Cao, Heming Cui, Francis C.M. Lau. Alano: An Efficient Neighbor Discovery Algorithm In An Energy-Restricted Large-Scale Network. IEEE International Conference on Mobile Ad-hoc and Sensor Systems. 2018

Research Projects:

  • Research on Collaborative Analysis and Autonomous Decision Technology for Intelligent Manufacturing Big Data. National Key R&D Program of China (No.2018YFB1004003). 　　　　　　 　　　 05/2018-04/2021
  • Software Defined Wireless Sensor Network System　　　　　　　　　　　　　　　　　　12/2017-03/2018
  • UAV-Enabled Sensor System　　　　　　　　　　　　　　　　　　　　　　　　　　　　 08/2017-11/2017
  • MBZIRC-2017 International Robotic Competition　01/2017-03/2017
  • Autonomous takeoff and landing of the intelligent quadrotor(Thesis)　　　　　　　　　12/2014-06/2015
  • Visual tracking gimbal system design　　　　　　　　　　　　　　　　　　　　　　　　 08/2014-11/2014
  • Simulated Flight Control System Based on SINS　　　　　　　　　　　　　　　　　　　 08/2013-12/2013
  • Two-wheel self-balancing vehicle　　　　　　　　　　　　　　　　　　　　　　　　　 　11/2012-06/2013
  • AVR-based multi-function smart vehicle　　　　　　　　　　　　　　　　　　　　　　 　08/2012-11/2012

Professional and Volunteer Experience

  • Reviewer, Journal of Contemporary Mathematics (CM), 2024
  • Reviewer, IEEE Journal on Selected Areas in Communications (JSAC), 2022
  • Reviewer, IEEE International Conference on Intelligent Robots and Systems (IROS), 2020
  • Volunteer Translator (English to Chinese), CS285 Deep Reinforcement Learning by Sergey Levine

Professional skills

  • Familiar with statistic learning theory and practice;
  • Familiar with the control, navigation, SLAM, motion planning algorithm ands application;
  • Familiar with Robot operating system(ROS) programming and application;
  • Master the C/C++ /Python /Pytorch, data structure, with good code preparation habits;
  • Master the Linux system programming;
  • Familiar with GIT and Academic Writing;

Language skills

  • Chinese: Native language
  • English: IELTS 7.0

Awards

  • Champion MBZIRC 2017.　　　　　　　　　　　　　03/2017
  • Grand Prize The eighth Shaanxi province outstanding graduation design　　　　　　　　　　　　06/2015
  • Second Prize Xi’an University of Technology, 2014 Emerson “CONSIDER IT SOLVED”　　　　　　　08/2014
  • Outstanding Officer of Automation Technology Association, Xi’an University of Technology　　　　　05/2013
  • First Prize The 21st session of the “ Innovation Prix” science and technology competition　　　　　11/2012

Hobbies

Reading, body building, swimming, cooking