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Chenyang (Tom) Wang

PhD Candidate in Robotics

Education

PhD in Robotics

Colorado School of Mines
2022 - Present

MSc in Electrical Engineering

University of California, Los Angeles
2019 - 2021

BSc in Computer Engineering

Washington University in St. Louis
2017 - 2019

BA in Pre-Engineering

Pomona College
2014 - 2017

Languages

  • Chinese (Native)
  • English (Full professional proficiency)
  • Japanese (Limited working proficiency)

Interests

  • Body Building / Gym Workout
  • Hiking & Camping
  • FPS games
  • JDM sports cars

About Me

I am currently a Ph.D. student in Robotics at the Colorado School of Mines. My research advisor is Dr. Qi Han, the director of the Pervasive Computing Systems (PeCS) research group. My current research interests involves edge computing and computation collaborations in the context of networked robot systems.

I enjoy the process of problem solving and building my own systems. I am also a proficient piano player. Currently, I am learning the bass guitar.

Experiences

Conference & Journal Reviewer

Ongoing

It is my honor to be selected to review submissions for various conferences and journals:

  • 2024 Elsevier Ad Hoc Networks Journal
  • 2024 ACM MobiSys Posters Session
  • 2023 IEEE PerCom Workshop on Pervasive Computing for Vehicular Systems (PerVehicle)
  • 2023 ACM IMWUT Journal

Conference & Workshop Organizing Committee

Ongoing

It is my honor to be selected to participate in organizing various conferences and workshops:

  • Publicity and Social Media Chair (2024 IEEE PerCom)
  • Web Chair (2023 ACM SenSys/BuildSys Workshop on Data)

Course Instructor

Ongoing

I have been the instructor for following course at the Colorado School of Mines:

  • CSCI 128 Computer Science for STEM (Mines)

Teaching Assistant

Ongoing

I have been TAing various Grad and UG level courses throughout my academic journey:

  • CSCI 341 Computer Organization (Mines)
  • CSCI 575 Advanced Machine Learning (Mines)
  • CSCI 470 Intro to Machine Learning (Mines)
  • ESE 447 Robotics Laboratory (WUSTL)
  • ESE 446 Robotics: Dynamics & Control (WUSTL)
  • PHYS 41 General Physics with Lab (Pomona College)

College Scholarship Application Reviewer

Ongoing

I have been a reviewer for the UCLA Samueli Engineering Scholarships Applications in 2025. My job is to review scholarship applications and provide feedback to the scholarship committee.

College Admission Interviewer

Ongoing

I have been in the WUSTL Alumni and Parents Admission Program (APAP) since 2022. My job is to interview college applicants every year and submit interview reports to the admission office.

Publications

  • Distributed Participant Selection in Networks of Heterogeneous Drones for Federated Learning
    • Wang, C., Han, Q. and Bernklau, A.
    IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), 2025
  • GazeboNS3: A Digital Twin System for UAV Swarms
    • Cauwe, D., Wang, C. and Han, Q.
    ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (DroNet), 2025
  • LLM for Generating Simulation Inputs to Evaluate Path Planning Algorithms
    • Wang, C., Diller, J. and Han, Q.
    IEEE International Conference on Machine Learning and Applications (ICMLA), 2024
  • Sharing the Edge: System Status Aware Object Recognition Task Offloading
    • Wang, C., Eicher, O. and Han, Q.
    IEEE International Conference on Smart Computing (SMARTCOMP), 2024
  • RAREST: Emulation of Augmented Reality Assisted Multi-UAV-UGV Systems
    • Carlson, B., Wang, C. and Han, Q.
    ACM Workshop on Metaverse Systems and Applications (MetaSys), 2023
  • Object Recognition Offloading in Augmented Reality Assisted UAV-UGV Systems
    • Wang, C., Carlson, B. and Han, Q.
    ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (DroNet), 2023
  • Enabling Energy Efficient Augmented Reality in Multi-UAV-UGV Systems
    • Wang, C. and Han, Q.
    IEEE International Conference on Pervasive Computing and Communications (PerCom) PhD Forum, 2023
  • An Integrated Platform for Mining Crowdsourced Data for Smart Traffic Prediction
    • Cenni, D., Wang, C., Antor, A.F. and Han, Q.
    IEEE International Smart Cities Conference (ISC2), 2022

    Skills & Proficiency

    Python

    ROS

    MATLAB & Simulink

    C++

    JAVA

    Verilog & VHDL

    SQL