Call for Papers

The goal of the 2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing is to bring together researchers, engineers and practitioners working towards improving the power of both communication and processing software using the most advanced artificial intelligence techniques available today. The topics of the conference are focused on AI based solutions for intelligent systems, computer vision, distributed computing and networking.

Depending on the evolution of the COVID-19 pandemic, ICCP 2020 could become a live online conference. If the conference will be held online no physical presence will be required and the sessions will become online based on a video conference software in accordance with the technical program schedule.

Technical tracks include, but are not limited to

Intelligent Systems:
Agent-based and Multiagent Systems; Knowledge Representation, Reasoning and Engineering; Ontology Modeling and Mediation; Machine Learning; Natural Language Processing; Multidisciplinary Topics and Applications, Web and Knowledge-based Information Systems; Systems and Organization


Computer Vision:

Image Processing Techniques and Methods; Segmentation and Features; Stereovision and 3D Reconstruction; Motion, Optical Flow and Tracking; Statistics and Machine Learning for Vision; Object Recognition; Deep Learning, Perception and Representation; Driving Assistance Applications; Autonomous Driving, Vision-based Robotic Applications; Biomedical Image Analysis, Semantic Media Annotation


Distributed Computing and Networking: 

Cloud Computing, Context Aware; Autonomic Computing; Resource Coordination and Management; Quality of Service; Queuing Network Models; Pervasive Computing; Grid Computing; Fault Tolerance; Cooperative Applications; Data Security.

Special Sessions:

Workshops:

Keynote Speakers:

  • Daniela Rus - the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT.