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ACM Transactions on Internet Technology – Special Issue on Edge-AI for Connected Living

The aim of this special issue is to bring academic researchers and industry developers together for sharing the recent advances and future trends of AI-driven edge intelligence for connected living. Topics of interest include, but are not limited to, the following:

Explainable AI (XAI) and predictive edge analytics for infectious diseases such as COVID-19
Edge AI-assisted COVID-19 and similar infectious disease detection or diagnosis systems
AI-centric Mobile Edge Computing approach for Connected Living
AI-enabled IoT-edge data analytics for Connected Living
AI-enabled edge data fusion for Connected Living
ML-driven edge approach to Connected Living
AI/Deep Learning/Machine Learning based networked applications, techniques and testbeds for Connected Living
AI-driven multi access edge computing approach for Connected Living
New opportunities, challenges, case studies, and applications of Edge-AI for Connected Living
Security, Privacy, and Trust of Edge-AI for Connected Living

Submission Instructions

Please refer to dl.acm.org/journal/toit/author-guidelines.
Please select “SI: Edge-AI for Connected Living” in the TOIT Manuscript Central website, mc.manuscriptcentral.com/toit.

Important Dates

Manuscript Submission: October 1, 2020
First Notification: December 15, 2020
Revised Version Due: February 15, 2021
Final Decision: March 31, 2021
Final Submission: April 15, 2021
Publication Date: To be scheduled in 2021

Guest Editors

Prof. M. Shamim Hossain, King Saud University, Saudi Arabia
Prof. Changsheng Xu, Chinese Academy of Sciences, China
Dr. Josu Bilbao, IK4-IKERLAN, Spain
Dr. Md. Abdur Rahman, University of Prince Mugrin, KSA
Prof. Abdulmotaleb El Saddik, University of Ottawa, Canada