IEEE International Workshop
COVI-COM: Communication, IoT, and AI technologies to counter COVID-19
June 14–23, 2021
Montreal, Canada
Programs at a Glance
Keynote Lecture
Vincent W S Chan
Joan and Irwin Jacobs Chair ProfessorClaude E Shannon Communication and Network GroupEECS, Massachusetts Institute of Technology, USAFuture Network Architectures and Influences of the Pandemic – Technical, Funding, Regulations and Policies
There is a crying need for much more research in networks and applications before virtual meetings can replace in-person meetings in critical negotiations and serious business even education. We stressed the need for universal access to make sure the gap between rich and poor will not widen further and rapidly. We talk about some of other aspects, such as contact tracing, rumors, misinformation and false information on social media proliferating as related to the pandemic and post pandemic that merit special attentions and careful planning.
Live Program
Friday, 18 June 2021
09:10am - 10:00am (EDT)
Keynote: "Future Network Architectures and Influences of the Pandemic – Technical, Funding, Regulations, and Policies," Vincent Chan, Massachusetts Institute of Technology, USA
10:00am - 11:00am (EDT)
Panel: "ICT for Countering Pandemics: Impacts, Opportunities, and Challenges"
Speakers:
Duncan MacFarlane, University of Cambridge, UK
Vincenzo Piuri, University of Milan, Italy
Rath Vannithamby, Intel, USA
Thilo Sauter, Danube University Krems, Austria
Presentation Sessions (on-demand):
Session 1
Friday June 18, 2021, 12h30 PM, WS COVI-COM-1: Machine Learning based Approaches
Using Control Theory and Bayesian Reinforcement Learning for Policy Management in Pandemic Situations
Heena Rathore (University of Texas, USA); Abhay Samant (National Instruments, USA)Prediction of COVID19 Cases based on Human Behavior using DNN Regressor for Canada
Dharitri Tripathy and Sergio G. Camorlinga (The University of Winnipeg, Canada)Passive WiFi CSI Sensing Based Machine Learning Framework for COVID-Safe Occupancy Monitoring
Aryan Sharma (University of New South Wales, Australia); Junye Li and Deepak Mishra (University of New South Wales (UNSW) Sydney, Australia); Aruna Seneviratne and Gustavo Batista (University of New South Wales, Australia)Evaluation of Hybrid Unsupervised and Supervised Machine Learning Approach to Detect Self-Reporting of COVID-19 Symptoms on Twitter
Mingxiang Cai (University of California, San Diego, USA); Jiawei Li (S-3 Research, USA); Mattew Nali and Timothy Mackey (University of California, San Diego, USA)Federated Learning toward Data Preprocessing: COVID-19 Context
Lamia Chaari Fourati (Institut Supérieur d'Informatique et de Multimédia de Sfax, Tunisia); Samiha Ayed (Université Technologique de Troyes, France)
Session 2
Friday June 18, 2021, 12h30 PM, WS COVI-COM-2: Spread Modeling and Testing
Lighthouses: A Warning System for Super-Spreader Events
Leonie Reichert (Humboldt-University of Berlin, Germany); Samuel Brack (Humboldt-Universität zu Berlin, Germany); Björn Scheuermann (Humboldt University of Berlin, Germany)Analyzing the Spread of Infectious Disease Using a Probabilistic Model
Shrikant Saxena, Shivang Khare, Sujata Pal and Vidushi Agarwal (Indian Institute of Technology Ropar, India)Simulation-Based Analysis of COVID-19 Spread Through Classroom Transmission on a University Campus
Arvin Hekmati, Mitul Luhar, Bhaskar Krishnamachari and Maja Mataric (University of Southern California, USA)Mining Trajectory Patterns with Point-of-Interest and Behavior-of-Interest
Xiaoxiao Wu (Shenzhen University, China); Zixian Wu (ShenZhen University, China); Weilin Zhu and Xiaokui Yang (Shenzhen University, China); Yong Li (Tsinghua University, China)Needles in a Haystack: How pooling can control error rates in noisy tests
Arockia David Roy Kulandai (Marquette University, USA); Stella J (Xavier Institute of Engineering, Mahim, Mumbai, India); John Rose, SJ (Xavier Institute of Engineering, Mahim, Mumbai & School of Engineering, Santa Clara University, India); Thomas J.E. Schwarz, SJ (Marquette University, USA & Xavier Institute of Engineering, India)
Session 3
Friday June 18, 2021, 12h30 PM, WS COVI-COM-3: Wireless Network Assisted Approaches
Blockchain and AI-integrated vehicle-based dynamic parking pricing scheme
Dakshita Reebadiya (Nirma University, India); Rajesh Gupta and Aparna Kumari (Institute of Technology, Nirma University, India); Sudeep Tanwar (Institute of Technology Nirma University Ahmedabad Gujarat, India)Robust Face Mask Detection using Deep Learning on IoT Devices
Sheikh Rufsan Reza (Prairie View A&M University, USA); Xishuang Dong (Prairie View A&M. University, USA); Lijun Qian (Prairie View A&M University, USA)PIRS3A: A Low Complexity Multi-knapsack-based Approach for User Association and Resource Allocation in HetNets
Bharat Agarwal and Mohammed Amine Togou (Dublin City University, Ireland); Marco Ruffini (CONNECT, Trinity College Dublin, Ireland); Gabriel-Miro Muntean (Dublin City University, Ireland)Decentralized Pedestrian Density Maps based on Sidelink Communication
Stefan Schuhbaeck (Munich University of Applied Sciences, Germany); Lars Wischhof (Munich University of Applied Sciences & Hochschule Muenchen, Germany)Ultrasound-based Control of Micro-Bubbles for Exosome Delivery in Treating COVID-19 Lung Damage
Bruna Fonseca (Telecommunications Software & Systems Group, Ireland); Caio Fonseca (Waterford Institute of Technology & Telecommunications Software & Systems Group, Ireland); Michael Taynnan Barros (University of Essex, United Kingdom (Great Britain)); Mark White (Waterford Institute of Technology, Ireland); Vinay Abhyankar and David Borkholder (Rochester Institute of Technology, USA); Sasitharan Balasubramaniam (TSSG, Waterford Institute of Technology, Ireland)
Important Dates
Paper submission deadline: January 20, 2021 February 19, 2021 [FIRM]
Notification of acceptance: February 20, 2021 March 22, 2021
Camera-ready papers: March 1, 2021 March 31, 2021