Hello there πŸ‘‹, I’m Jidan


Illustration of combining vision and language modalities πŸ‘¨πŸ»β€πŸ’» I am a recent graduate in Automation Engineering at Diponegoro University, Indonesia.

πŸ”¬ My research interests span Embedded Systems, Wireless Sensor Networks, Internet of Things (IoT), Applied Machine Learning, Mobile Computing, and Edge Computing.

πŸ“½οΈ I have actively engaged in both academic and extracurricular research programs, ranging from robotics competitions to international research training, and I am preparing to continue my graduate studies with the long-term goal of pursuing a PhD.


πŸŽ“ 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

πŸ”¬ Research Interests

  • Embedded Systems
  • Wireless Sensor Networks
  • Internet of Things (IoT)
  • Edge Computing
  • Applied Machine Learning
  • Mobile Computing

πŸ§ͺ 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.

  • Robotics Engineer – URDC (Universitas Diponegoro Robotic Development Center) (2021 – 2023)
    3rd Place and Best Design Award in ABU Robocon Indonesia 2023 (KRAI Division).

  • 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.


πŸ“„ 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).

🎯 Academic Goals

My vision is to:

  1. Advance research in Computer Networks, Edge Computing, and IoT.
  2. Build meaningful collaborations with international researchers.
  3. Contribute to education by establishing a university or research center in my hometown (Kuningan, Indonesia), expanding access to higher education in rural areas.