Muhammad Usama

About Me

I am a Ph.D. student at the Control Lab, KAIST, passionate about generative AI, machine learning, and intelligent robotics. My experience spans generative models, deep learning, anomaly detection, reinforcement learning, and autonomous robotics. I have a proven track record in research, publications, industrial collaborations, and AI competitions, demonstrating my commitment and expertise.

Professional Expertise

• Machine Learning: generative models, reinforcement learning, fairness, and transparency in machine learning
• Computer Vision: image recognition, object detection, and machine vision
• Control: model predictive control, data-driven model learning
• Robotics: robot visualization, robot localization

Skills

• Programming Languages: Python, C++, MATLAB, LabVIEW
• Machine Learning Frameworks: PyTorch, Pytorch Geometric, TensorFlow, Scikit-learn
• Data Analysis & Processing: Pandas, NumPy, SciPy, data visualization with Matplotlib and Seaborn
• Robotics: Git, Docker, Kubernetes, cloud platforms (AWS, GCP)
• Soft Skills: Team collaboration, project management, technical writing

Publications

• Particle Swarm Optimization for DFE Structure Optimization with Neural Fitness Evaluation
  Muhammad Usama and Dong Eui Chang
  2024 Summer Annual Conference of IEIE.

• Representation Learning for Distortion Classification in DRAM Data
  Muhammad Usama and Dong Eui Chang
  39th Institute of Control, Robotics and Systems (ICROS) Conference. ICROS 2024.

• Optimization of Decision Feedback Equalizer Structure through Genetic Algorithm and Neural Network Evaluation
  Muhammad Usama and Dong Eui Chang
  39th Institute of Control, Robotics and Systems (ICROS) Conference. ICROS 2024.

• PyEye: An Integrated Approach for Signal Integrity Assessment and Eye Diagram Generation
  Muhammad Usama and Dong Eui Chang
  2023 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia). ICCE-Asia 2023.
  [PDF]

• Learning-Based Control of Quadrotor using Gaussian Processes
  Muhammad Usama and Dong Eui Chang
  6th Joint Conference of Korean Artificial Intelligence Association (CKAIA). CKAIA 2022.
  Recipient of Special Society Award (학회 특별상) worth 1 million KRW.

• Learning Flexible and Fair Data Representations
  Muhammad Usama and Dong Eui Chang
  IEEE Access, Volume 10, 2022. IEEE Access 2022.
  [PDF]

• Learning-Driven Exploration for Reinforcement Learning
  Muhammad Usama and Dong Eui Chang
  2021 21st International Conference on Control, Automation and Systems (ICCAS). ICCAS 2021.
  [PDF] [Video] [Code]

• Robotic Navigation using Entropy-Based Exploration
  Muhammad Usama and Dong Eui Chang
  2019 19th International Conference on Control, Automation and Systems (ICCAS). ICCAS 2019.
  [PDF] [Video]

• Control of Furuta Pendulum with Reinforcement Learning
  Dohyeok Lee, Muhammad Usama and Dong Eui Chang
  19th International Conference on Control, Automation, and Systems. ICROS 2019.
  [PDF] [Video]

• Towards Robust Neural Networks with Lipschitz Continuity
  Muhammad Usama and Dong Eui Chang
  17th International Workshop on Digital Forensics and Watermarking. IWDW 2018.
  [PDF]