Md Aynul Islam 叶子

About me

I am a PhD student in computer science at the University of Science and Technology of China, in Hefei, since September 2026. I work on medical images that do not sit still: blurred boundaries, dim scans, and models that still have to be right when the data changes.

My work is computer vision, medical image analysis, deep learning, and vision-language models: object detection, image segmentation, anomaly detection, and systems that have to run in real time. Before the doctorate I was a master’s student in the AIoT Lab at USTC, and earlier a research assistant at Southwest University of Science and Technology. Several of the papers are in peer-reviewed venues. You can read the CV in English or 中文.

News

  • (2026.09) Began PhD study in Computer Science and Technology at USTC, Hefei.
  • (2026) Named Outstanding Graduate, Class of 2026, University of Science and Technology of China.
  • (2026) USTC Anniversary Grand Prize, School of Innovation and Entrepreneurship, for USTC.AI.
  • (2025) Two papers presented at IEEE RAAICON 2025.
  • (2023) Awarded the Chinese Government Scholarship for graduate study in China.

Selected Papers

  • HyperSeg-DG: Multi-Scale Hyper-Feature Context for Domain-Generalized Medical Image Segmentation. Bioinformatics · CCF-A
    Md Aynul Islam. A hypergraph-enhanced visual perception framework for segmentation under domain shift, low light, low contrast, and blurred anatomical boundaries. Supported by NSFC 62502491 and the USTC Software Youth Fund YN2260080011.
  • Lung Nodule Classification with Quantum Neural Networks and Kolmogorov–Arnold Networks. IEEE RAAICON 2025
    Md Aynul Islam. Studies how quantum neural networks and Kolmogorov–Arnold Networks can be combined to classify lung nodules.
  • Integrating YOLOv8 and Vision Transformers: An Enhanced Security Framework for Digital Twins. IEEE RAAICON 2025
    Md Aynul Islam. A real-time security framework using YOLOv8, vision transformers, DeepSORT, IoT data, and a digital twin for activity and threat detection. 93.77% accuracy and 98.14% precision on the Real-Life Violence dataset.
  • An Edge-Cloud Collaborative Autonomous Driving System Based on Swin-YOLOv11. IEEE PRECEDE
    Md Aynul Islam. An edge-cloud detection framework built on Swin-YOLOv11 to raise accuracy without giving up computational efficiency.

Projects

  • USTC.AI — an assistant for international students. Chuiying Fund, USTC. I led a chatbot that answers questions about USTC policy, process, and administration. University policy documents are the retrieval source. I coordinated the model backend, the API, and the interface. More than 100 queries a day, and about 30% less workload for the international office. 2026 USTC anniversary grand prize.
  • Lung nodule classification from CT. Undergraduate thesis. A computer-vision pipeline on LIDC-IDRI and LUNA16: preprocessing, feature extraction, transfer learning, and evaluation for pulmonary nodule classification.

Experience

  • Sep 2026 — Present, PhD student, University of Science and Technology of China, Hefei. Doctoral study in computer science, continuing work on computer vision and medical image analysis.
  • Sep 2023 — Jun 2026, Student researcher, AIoT Lab, University of Science and Technology of China, Hefei. Computer vision and deep learning, centered on medical image analysis and segmentation.
  • Mar 2025 — Sep 2025, AI / NLP research engineer, Anhui Aladdin Quantum Technology, Hefei. Built an NLP system that collected financial news from 30 Chinese finance sites. A RAG and BERT pipeline wrote a daily analysis and published it on the company site.
  • Jan 2022 — Jun 2023, Research assistant, Information and Security Lab, Southwest University of Science and Technology, Mianyang. Deep reinforcement learning and intelligent IoT.
  • May 2022 — Nov 2023, Junior development engineer, Venesa, Mianyang. Software development with the engineering team.

Education

  • Sep 2026 — Present, Ph.D. Computer Science and Technology, University of Science and Technology of China, Hefei
  • Sep 2023 — Jun 2026, M.S. Computer Science and Technology, University of Science and Technology of China, Hefei
  • Sep 2019 — Jun 2023, B.S. Computer Science and Technology, Southwest University of Science and Technology, Mianyang
  • Apr 2019 — Sep 2019, Chinese Language Program, Sichuan University of Culture and Arts, Mianyang

Awards & Honors

  1. Outstanding Graduate, Class of 2026, University of Science and Technology of China, for academic and research work during the master’s.
  2. 2026 USTC Anniversary Grand Prize, School of Innovation and Entrepreneurship, for USTC.AI.
  3. Chinese Government Scholarship, 2023, for graduate study in China.
  4. Special Scholarship, Southwest University of Science and Technology.
  5. Outstanding Student Award, Sichuan University of Culture and Arts, for Chinese language study.

Skills and languages

  • Frameworks. PyTorch, TensorFlow, Keras, Transformers, BERT.
  • Methods. RAG, YOLO, Mamba, Kolmogorov–Arnold Networks, deep reinforcement learning.
  • Tools. Git, GitHub, Anaconda, LaTeX.
  • Languages. Bengali (native), English (medium of instruction), Chinese (HSK 3).