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Jiang, Yuhang (蒋雨航)

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Data Science and AI for a Competitive Manufacturing
EIT Manufacturing Master School
SUPSI | UNITN
Switzerland | Italy
E-mail: jyhtjtj@gmail.com

About me

I am now studying in the EIT Manufacturing Master School, majoring in Data Science and AI for a Competitive Manufacturing. And I am pursuing a double master's degree in engineering and computer science at SUPSI and UNITN respectively. I received my bachelor's degree in engineering from Anhui University, majoring in Intelligent Science and Technology. My main research interests include Machine Learning, Deep Learning and Computer vision. I am very concerned about the application of AI in various fields and have learned many related projects. I like to participate in various forums and lectures to broaden my horizons. And I often participate Kaggle competitions. Besides, I also like art and music very much.

Research Interests

My research interests include:

  • Computer Vision

  • AI + Arts

  • AI + Medical Science

  • Computer Graphics

  • Mathematical Modeling

Education

Data Science and AI for a Competitive Manufacturing, EIT Manufacturing Master School, 09.2023-09.2025

Computer Science, University of Trento(UNITN), 09.2023-09.2025

Data Science, University of Applied Sciences and Arts of Southern Switzerland(SUPSI), 09.2023-09.2025

Intelligent Science and Technology, School of Internet, Anhui University, 09.2019-06.2023

Publications

  1. Y.Jiang*, W.Tong, "Improved lightweight identification of agricultural diseases based on MobileNetV3", CAIBDA 2022(oral).

    [paper][code]

  2. Software Copyright of Intelligent contract software for agricultural insurance compensation. 2022SR1568111. Nov. 2022

Note: * indicates the corresponding author.

Competitions

  1. Kaggle BirdCLEF 2024 Competition|Bronze Medal(70/974), 06.2024

  2. The second prize in iCAN Innovation Contest 2021(Anhui), 10.2021

    [certificate]

    • Team member, responsible for some STM32 development and project plan writing

    • Developed a set of hardware system capable of intelligently monitoring and warning the abnormal behavior of the elderly

  3. Mathematical Contest In Modeling(MCM), Finalist winner, 04.2021

    [certificate][news]

    • Leader, the youngest winner in the history of Anhui University and the first winner of School of Internet

    • Responsible for modeling, programming and part of paper writing

    • Developed a multivariate regression algorithm to assess the degree of hunger and applied an ant colony optimization algorithm to optimize the food supply chain

Awards

  1. Second Prize for Outstanding Academic Performance, 12.2022

  2. First Prize Scholarship of Academic science and technology, 12.2021

Internship experience

  1. Algorithm Intern, Chengdu Jiaoda Guangmang Technology Co.,Ltd., 07.2022-09.2022

    • Researched the newest machine learning algorithms and industrial anomaly detection algorithm

    • Applied GAN models to reconstruct images to identify anomalies and evaluate the performance

    • Used the object detection neural network model to detect abnormal parts in high-speed rail supports

    • Assisted colleagues in developing a set of character recognition patents for LCD meters

Project experiences

  1. LLM Health Assistant, 02.2025

    [code]

    • Developed an AI-driven health consultation platform using LLM and RAG, supporting text and voice interactions with PubMed paper retrieval, along with a CLI-based database management system

    • Designed a scalable 4-layer system architecture (Process Centric, Business Logic, Adapter Services & Data Services) for efficiency and security

    • Utilized FastAPI for the backend, SQLite for data storage, Pinecone for vector search, OAuth2.0 with JWT for authentication, and PubMed API integration

    • Built a responsive frontend with HTML, CSS, and JavaScript, ensuring seamless user interaction via text and voice inputs

  2. Heuristic NSGA-II for Flexible Job Shop Scheduling Problems, 02.2025

    [code]

    • Developed an advanced NSGA-II algorithm with heuristic population initialization for solving the Flexible Job Shop Scheduling Problem (FJSP), focusing on multi-objective optimization to balance makespan and workload.

    • Designed a modular project structure, including data preprocessing, algorithm implementation, batch processing, evaluation metrics, and visualization

    • Conducted experimental validation on benchmark datasets, demonstrating performance improvements in scheduling efficiency.

  3. High Performance Computing for Grey Wolf Optimizer (GWO) Optimization, 01.2025

    [code]

    • Designed and implemented the HGT-GWO algorithm, incorporating global historical best positions and individual trend guidance, significantly improving convergence speed and outperforming traditional GWO on three benchmark functions

    • Proposed a novel master-worker island parallelization scheme, enabling independent subpopulation operations and reducing communication overhead through controlled synchronization intervals, thereby enhancing parallel efficiency

    • Conducted experimental validation of the HGT-GWO algorithm using Python, demonstrating superior performance over GWO on 15 test functions

    • Developed a fully parallelized implementation utilizing C, MPI, and OpenMP, tailored for UNITN's HPC cluster to optimize computational resources

  4. Augmented Reality-Driven Robotic Arm Control for Industrial Automation (SUPSI Project Course), 09.2024

    [code]

    • Conducted a comprehensive literature review on XR technologies in Industry 5.0, highlighting human-centric design, worker safety, and data privacy issues [PDF]

    • Developed and tested a system that combines YOLOv8 and FastSAM models to achieve accurate image segmentation and fingertip coordinate mapping

    • Designed an AR-based interface using Microsoft HoloLens 2 for real-time gesture recognition, allowing intuitive robotic arm control

    • Achieved highly efficient performance in industrial environments, mitigating challenges such as hand occlusion using time-sharing processing and ensuring flexible task handling

    • Demonstrated scalability through multi-mode operation, enabling both gesture-based and interface-based controls for part picking

  5. Research on Semantic Segmentation Method of High-Resolution Remote Sensing Images Based on Non-Local Attention Mechanism with Deep Learning, 05.2023

    [code]

    • Outstanding Undergraduate Graduation Project

    • Conducted comprehensive research on efficient and accurate image segmentation algorithms for complex remote sensing images

    • Developed an encoder-decoder model with residual-weighted attention to enhance feature extraction and mitigate performance degradation

    • Conducted experiments on ISPRS Potsdam and Vaihingen datasets, achieving F1-scores of 90.23% and 87.37%, respectively, outperforming models without attention mechanisms

    • Demonstrated proficiency in convolutional neural networks, Transformer models, and attention mechanisms for semantic segmentation tasks

  6. Video anomaly detection based on unsupervised learning, 12.2022

    • Reproduced the paper HF^2-VAD(ICCV 2021, SOTA), tested on CUHK Avenue dataset, the performance is slightly better than that of the paper (0.2%)

  7. Music Generation Toolkit, 12.2022

    • Invited by NLP teacher to give a lecture to the next cohort of students(her new students)

    • A collection of excellent music generation models in recent years. The music data format includes compound word and REMI. The model is mainly transformer, including transformer XL, Vanilla Transformer, etc. It can freely combine models to generate music.

    • A sample to listen

  8. Semi-supervised Medical Image Segmentation, 12.2022

    • Reproduced the paper DTC(AAAI 2021), tested on 2018 Atrial Segmentation Challenge dataset

  9. Visualization Platform for COVID-19 Focus Segmentation, 10.2022

    [code]

    • Offline inference, real-time display of segmentation results, and support NII file export

    • Used UNet and BiSeNetV2 to segment COVID-19 lesion

    • Used PyQt5 to visualize the nii image format

  10. Scissors Stone Cloth finger guessing based on Jetson Nano, 06.2022

    [code]

    • All are developed on the Jetson Nano, including data collection, model training and testing

    • Support real-time data reading (captured by camera) and automatically give game results

  11. Automatic compensation of agricultural insurance based on blockchain technology and remote sensing(College Students' innovation and entrepreneurship training program), 06.2022

    • Judge the disaster situation of crops through remote sensing images (image segmentation)

    • Use blockchain technology to encrypt the insurance compensation process

  12. Music Generation Based on LSTM, 11.2021

    • Used music21 to complete the conversion of midi format, and use LSTM to build a music generation model

    • A sample to listen

Note: For project experience related to the competition, click "Kaggle" to view my personal homepage.

Other experiences

  1. Online volunteers, Beijing Academy of Artificial Intelligence(BAAI), 01.2022-Now

    • Collect various academic conference information and university lectures for BAAI. They are mainly top-level conferences such as CVPR, ICCV, NIPS, etc. The universities are mainly Tsinghua University, Peking University and Gaoling School of Artificial Intelligence

  2. Monthly support to UNICEF, 02.2021-Now

    • Donate to UNICEF(United Nations International Children's Emergency Fund) every month to help children living in a difficult environment

  3. Attended WLF(World Laureates Forum) 2020, 10.2020


A brief cv.