Hello there π, Iβm Jidan
π¨π»βπ» I am a recent graduate in Automation Engineering at Diponegoro University, Indonesia.
π¬ My research interests span Embedded Systems, Wireless Sensor Networks, Internet of Things (IoT), Applied Machine Learning, Mobile Computing, and Edge Computing.
π½οΈ 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.
π Education
- B.Sc. in Automation Engineering β 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
π¬ Research Interests
- Embedded Systems
- Wireless Sensor Networks
- Internet of Things (IoT)
- Edge Computing
- Applied Machine Learning
- Mobile Computing
π§ͺ Selected Research & Experience
Research Trainee β System and AI Research Training Program (SYAIR), University of Chicago (Jan 2025 β Present)
Guided by Prof. Haryadi Gunawi, focusing on systems research by studying technical papers from MobiCom, SenSys, and MobiSys.Electrical Engineer β Kedaireka.id (Aug β 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 β Diponegoro University (Feb β Jul 2023)
Assisted 50+ students in embedded systems, control design, and programming with STM32, Arduino, and Raspberry Pi.Robotics Engineer β URDC (Universitas Diponegoro Robotic Development Center) (2021 β 2023)
3rd Place and Best Design Award in ABU Robocon Indonesia 2023 (KRAI Division).Machine Learning Cohort β Bangkit Academy by Google, Tokopedia, Gojek, and Traveloka (Aug 2023 β Jan 2024)
Completed 900 hours of coursework in ML, Python, Data Analysis, TensorFlow. Ranked in the top 10% of 5,000 selected participants.
π Selected Projects
- LoRa-Based Weather Station Integrated with XGBoost Forecasting (Feb 2025 β Present)
Designed low-power weather stations with ML-based forecasting, deployed in remote areas of Indonesia. - Visignify (Assistive Application) (Aug 2023 β Jan 2024)
Built sign language detection and assistive ML models deployed in TFLite; pitched to investors (~$9,000 potential funding).
π― Academic Goals
My vision is to:
- Advance research in Computer Networks, Edge Computing, and IoT.
- Build meaningful collaborations with international researchers.
- Contribute to education by establishing a university or research center in my hometown (Kuningan, Indonesia), expanding access to higher education in rural areas.
