Description

Welcome to the 2025 International Conference on Image, Signal Processing, and Machine Learning (ISPML 2025), a premier event scheduled to take place in a vibrant city in 2025. This conference aims to create a dynamic platform for researchers, engineers, and industry professionals from around the globe to share their latest findings and innovations in the fields of image processing, signal processing, and machine learning. ISPML 2025 will feature keynote speeches from renowned experts who will discuss cutting-edge research and practical applications. In addition, the conference will host various workshops and panel discussions, providing participants with opportunities to delve deeper into specific topics, engage in meaningful dialogues, and foster cross-disciplinary collaborations. We encourage the submission of high-quality academic papers that contribute to advancements in these fields; selected papers will be presented at the conference and may be recommended for publication in related academic journals. Beyond being an academic gathering, ISPML 2025 will serve as a valuable networking opportunity, allowing attendees to connect with like-minded individuals, explore potential collaborations, and expand their professional networks. We look forward to welcoming participants from diverse backgrounds to discuss the future of artificial intelligence, big data, computer vision, and other related domains, addressing both opportunities and challenges.

Call For Papers

Topics of interest for submission include, but are not limited to:

  1. Computer Vision

  2. Deep Learning

  3. Natural Language Processing

  4. Speech Signal Processing

  5. Image Generation

  6. Medical Image Analysis

  7. Object Detection and Tracking

  8. Sensor Data Fusion

  9. Image Compression and Encoding

  10. Robotic Perception and Decision-Making

  11. Motion Analysis

  12. Super Resolution Reconstruction

  13. Visual SLAM (Simultaneous Localization and Mapping)

  14. Multimodal Learning

  15. Emotion Recognition

  16. Intelligent Analysis of Electronic Health Records

  17. Computational Photography

  18. Facial Recognition and Expression Analysis

  19. Audio Signal Processing and Analysis

  20. Visual Information Retrieval

  21. Generative Models

  22. Video Analysis

  23. Image Segmentation

  24. Edge Computing and Intelligent Sensors

  25. Image Enhancement

  26. Biometric Identification

  27. Autonomous Driving Technology

  28. Computer Graphics and Visual Simulation

  29. Data-Driven Material Characterization

  30. Knowledge Graphs and Image Understanding

  31. Audio Transcription and Synthesis

  32. Time-Series Signal Analysis

  33. Medical Image Synthesis and Reconstruction

  34. Scene Understanding and Semantic Segmentation

  35. Sensor Networks and Distributed Signal Processing

  36. Transfer Learning and Domain Adaptation

  37. Explainable Machine Learning