About me

I am Chengpeng Hu, currently a PhD student with Eindhoven University of Technology, supervised by Dr. Hendrik Baier. I obtained B.E. and M.E. degree from the Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), under the supervision of Dr. Jialin Liu and Prof. Xin Yao , with Learning and Optimization in Games (LOG) Group and OPtimization And Learning (OPAL) laboratory .

I am insterested in applying (single-/multi-agent, constrained) reinforcemnet learning and evolutionary computations for decision-making problems such as robotics, game, routing and scheduling for safety, generalisation and robutness.

My research areas include:

• Game AI
  • General video game playing: Train AI agents to play on unseen levels
  • Game for AI education
• Real-time controlling with safty guarantee (torque, collision, energy)
  • Robotic controlling via reinforcement learning
  • Multi-robot task allocation: Path finding with unlabelled targets
• Smart Logistics
  • Apply AI techinques to real world optimisation problems in logistics such as vehicle routing problem and dynamic material handling
  • Learning-based methods (reinforcement learning) for scheduling automated guided vehicles with safety constraints

Education

• PhD student, Eindhoven University of Technology, 2024-2028
• M.E. in Electronics Science and Technology, Southern University of Science and Technology, 2021-2024
• B.E. in Computer Science and Technology, Southern University of Science and Technology, 2017-2021

Work experience

• Robotics Intern, 2020
  • Navigation and localisation group, Shenzhen Research Institue, UBTECH

Services

• Session Chair on Reinforcement Learning, International Joint Conference on Neural Networks, 2023
• Publicity Chair, IEEE Conference on Games, 2023
• Volunteer, IEEE Conference on Games, 2022
• Reviewer of IEEE CoG, TOG, TEVC, KBS and TAI

Awards

• Outstanding Graduate Student Dissertation (SUSTech), 2024
• Outstanding Graduate Student (CSE in SUSTech), 2024
• Outstanding Undergraduate Dissertation (CSE in SUSTech), 2021
• The 2020 GVGAI Learning Competition 1st Place Winning AI, 2020
• Asia Supercomputer Community Second Class Prize, 2018
• China Parallel Application Challenge on Domestic CPU Second Class Prize, 2018
• XiaoAi Skill (NLP) Development Competition Third Prize, 2018

Scholarships & Grants

• IEEE CIS Travel Grants, 2024
• SUSTech Graduate Student Travel Grants, 2023
• IEEE CIS Graduate Student Research Grants (only 6 awarded globally), 2023
  • Supervised by Dr. Jialin Liu (SUSTech), Prof. Kay Chen Tan (PolyU) and Prof. Xin Yao (SUSTech)
• Sony AI Scholarship, 2022