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li-si-han/README.md

👨‍🎓 Sihan Li / 李思涵

IoT Engineering Undergraduate | Hubei University of Economics | Expected Graduation: 2026.06

Email Phone GitHub

📚 Education

Hubei University of Economics | School of Information Engineering | 2022.09 - 2026.06 (Expected)

  • Major: Internet of Things Engineering
  • Academic Performance: 86.5/100
  • Core Modules (Scores): Basic Practice of Program Application (94), Data Structure (97), Integrated Design of IoT Perception and Control (94), Embedded Real-time Operating System (98), Embedded Software Design (97), RFID Principle and Application (93), Business Data Visualization with Python (91)

🔬 Research Output

📝 IEEE Conference Papers (Published)

  1. A Novel Approach for Integrated Optical Camera Communication and Sensing Using Reflected Light | IWQoS 2024 | DOI:10.1109/IWQoS61813.2024.10682865

    • Reformulated OCC as an object detection problem, proposed a novel image decoding approach by treating black and white stripes as detectable targets.
    • Optimized YOLOv8 loss function for stripe-width features, introduced dual-attention mechanism in GAN for background reconstruction.
    • Achieved >98% stripe detection accuracy, boosted object recognition from 66% to 97.5% under low SNR (-26dB to 0dB).
  2. On Simultaneous Recognition and Locating of Contextual Objects with Unmodulated Acoustic Signals Using Machine Learning | IWQoS 2024 | DOI:10.1109/IWQoS61813.2024.10682881

    • Addressed indoor object recognition/location by innovatively using unmodulated acoustic waves as the sensing medium.
    • Used MFCC for acoustic signal processing, developed dual-model (BiLSTM classifier + LightGBM regression).
    • 100% recognition accuracy in noise-free conditions, controlled distance estimation error within 0.5 meters.
  3. Multi-modal Channel-attention for Vehicle RGB Image Reconstruction | ICCNC 2024 | DOI:10.1109/ICCNC63989.2024.00018

    • Built custom RGB/infrared image datasets (daytime & simulated low-light) for multi-modal fusion research.
    • Designed a multi-modal channel attention network to fuse RGB and infrared data for high-quality vehicle image reconstruction.
    • Improved SSIM from 0.65 to 0.85, MI from 0.3 to >1.5 for low-light vehicle monitoring.

📜 Patents (All Granted | 100% Complete)

🇺🇸 U.S. Invention Patents (2) | Second Inventor

  1. LED Light Identification Method, Device, Electronic Apparatus and Storage Medium
  2. LED Light Source Recognition Method, Device, Apparatus and Medium Based on DL

🇨🇳 Chinese Invention Patents (6) | First/Key Inventor

  1. LED Light Source Recognition Method, Device, Apparatus and Medium Based on Deep Learning (First Inventor)
  2. LED Light Identification Method, Device, Electronic Apparatus and Storage Medium (Key Inventor)
  3. Positioning Method and Device Based on Non-Modulated Sound Signal (Key Inventor)
  4. Vehicle Positioning and Recognition Method Based on Multimodal Image Fusion Technology (Key Inventor)
  5. Sound Recognition and Positioning Method and Device (Key Inventor)
  6. Fringe Image Processing Method, Device and Apparatus for Camera-Based Optical Communication (Key Inventor)

🏆 Awards & Honors (100% Complete | 15 Items)

🎖️ Academic Honors

  1. Merit Student for the 2022-2023 academic year
  2. Canglong Scholarship for the 2022-2023 academic year

🏁 Academic Competitions (2023-2024)

  1. Bronze Prize, ‘Qinchuang Cup’ Innovation Challenge National Finals (A+), 2024
  2. Silver Award, 13th ‘Challenge Cup’ College Students’ Business Plan Competition in Hubei Province (A+), 2024
  3. Silver Award, Main Track of the China International College Students’ Innovation Competition (2024) Hubei Provincial Competition (A+), 2024
  4. Bronze Award, the 7th Chutian Makers Competition in Hubei Province (A+), 2024
  5. National Third Prize, 2024 China University Students Service Outsourcing Innovation and Entrepreneurship Competition (A), 2024
  6. National Third Prize, the 14th ‘Zhengda Cup’ National College Students Market Survey and Analysis Competition Finals (A), 2024
  7. First Prize, the 14th ‘Zhengda Cup’ National College Students Market Survey and Analysis Competition Hubei Regional Undergraduate Selection (A), 2024
  8. First Prize (Provincial), 2024 Computer Design Competition, Artificial Intelligence Track (A), 2024
  9. Second Prize (Provincial), 2024 Computer Design Competition, Internet of Things Track (A), 2024
  10. Second Prize (Provincial), 2024 Computer Design Competition, Software Development Track (A), 2024
  11. Second Prize, 2024 China University Students Service Outsourcing Innovation and Entrepreneurship Competition Central-South Regional (A), 2024
  12. Second Prize (Provincial), the 15th Blue Bridge Cup Algorithm Competition (C/C++) (A), 2024
  13. First Prize, 2023 Hubei University of Economics Mathematical Modeling Campus Selection, 2023

🚀 Innovation & Entrepreneurship Programs (100% Complete | 6 Projects)

🔵 National College Student Innovation and Entrepreneurship Training Program (2 Projects)

  1. Dunhuang Spirit: CycleGAN-based Style Transfer Platform for Dunhuang Artistic Patterns
  2. Optical Messaging: Building the Digital Economy Infrastructure with Visible Light Communication Technology

🟢 Hubei Provincial College Student Innovation and Entrepreneurship Training Program (4 Projects)

  1. VLC Logistics Robot: Visible Light Communication for Next-Generation Warehouse Transport
  2. Reflective Optical Sensing: Key Technologies for Integrated Camera Communication and Sensing
  3. Guardian Patrol: Deep Learning-based Industrial Inspection Robot
  4. Smart Tourism APP: Integrating Big Data and Large Language Models for Wuhan Travel Assistant

💻 Technical Skills (Expanded & Comprehensive)

🛠️ Programming Languages & Engineering Tools

Python C/C++ Java MATLAB JavaScript HTML5

CSS3 Shell Linux Docker Git CMake

GitHub Actions Vim VS Code PyCharm Anaconda Jupyter

GCC Makefile Microsoft Word Microsoft Excel Microsoft PowerPoint Adobe Photoshop

### 🧠 AI/ML Frameworks & Models

PyTorch TensorFlow Keras Scikit-learn OpenCV NumPy

Pandas Matplotlib Seaborn Plotly XGBoost LightGBM

Category Key Technologies & Models
Deep Learning Frameworks PyTorch, TensorFlow/Keras, ONNX, OpenVINO, TorchServe
Image Generation & Restoration MAE, GAN/CycleGAN/Pix2Pix, VAE, Stable Diffusion, ESRGAN, GFPGAN
Object Detection & Segmentation YOLO(v5-v10)/YOLO-World, Fast R-CNN/Faster R-CNN, Mask R-CNN, DETR, GroundingDINO, SAM (Segment Anything)
Vision Transformers & Multimodal ViT, Swin Transformer, MobileViT, DeiT, CLIP, BLIP-2, GroundingDINO
CNN Architectures ResNet/ResNeXt, DenseNet, MobileNetV2/V3, EfficientNet, CSPNet, GhostNet, ShuffleNet
Sequence Models & NLP LSTM/GRU, BiLSTM, Transformer, BERT, LLaMA, FastText
Traditional ML & Optimization LightGBM, XGBoost, Random Forest, SVM, K-Means, PCA, MCMC
Data Processing & Visualization OpenCV, NumPy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn

📊 IoT & Embedded Development

STM32 ESP32 RT-Thread MQTT Bluetooth

BLE ZigBee LoRa RFID

| Category | Key Skills | |----------|------------| | Embedded Systems | RTOS, Embedded Real-time Operating System, MCU (STM32/ESP32), Linux Driver Development | | IoT Communication | MQTT, CoAP, LoRa, BLE, ZigBee, Visible Light Communication (VLC), RFID Principle & Application | | IoT Perception & Control | Integrated Design of IoT Perception and Control, Image Sensors, Acoustic Sensors, Environmental Sensors |

Last Updated: 2026.02 | All Information is 100% Consistent with the Original Resume

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