Jidan Humaidi

Jidan Humaidi

MS/PhD student ECE at KAUST.

Hello there 👋, I’m Jidan

I am an MS/PhD student in Electrical and Computer Engineering at King Abdullah University of Science and Technology, advised by Prof. Slim Alouini at the Communication Theory Lab (CTL).

My current research is oriented towards Low Altitude Economy, Digital Twin, Edge AI, and Physical AI, exploring how intelligent systems at the network edge can enable next-generation autonomous and connected environments.

🎓 Education

  • B.Sc. in Automation Engineering – Diponegoro University, Indonesia
    • GPA: 3.89/4.00 (Ranked 1st in cohort)
    • Relevant Coursework: Internet of Things, Embedded Control Systems, Interfaces and Peripherals, Embedded Control Systems Lab

🔬 Research Interests

  • Low Altitude Economy
  • Digital Twin
  • Embedded System
  • Physical AI
  • Wireless Sensor Networks
  • Mobile Edge Computing

🧪 Selected Research & Experience

  • Research Trainee – System and AI Research Training Program (SYAIR), University of Chicago (Jan 2025 – Present)
    Guided by Prof. Haryadi Gunawi, focusing on systems research by studying technical papers from MobiCom, SenSys, and MobiSys.

  • Electrical Engineer – Kedaireka.id (Aug – Dec 2023)
    Worked on AI-powered renewable energy monitoring and forecasting systems using LoRa-based weather stations, funded by PLN Indonesia (~$20,000 grant).

  • Laboratory Assistant – Diponegoro University (Feb – Jul 2023)
    Assisted 50+ students in embedded systems, control design, and programming with STM32, Arduino, and Raspberry Pi.

  • Machine Learning Cohort – Bangkit Academy by Google, Tokopedia, Gojek, and Traveloka (Aug 2023 – Jan 2024)
    Completed 900 hours of coursework in ML, Python, Data Analysis, TensorFlow. Ranked in the top 10% of 5,000 selected participants.

📄 Selected Projects

  • LoRa-Based Weather Station Integrated with XGBoost Forecasting (Feb 2025 – Present)
    Designed low-power weather stations with ML-based forecasting, deployed in remote areas of Indonesia.
  • Visignify (Assistive Application) (Aug 2023 – Jan 2024)
    Built sign language detection and assistive ML models deployed in TFLite; pitched to investors (~$9,000 potential funding).