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
Moderator: Sudip Misra, Indian Institute of Technology Kharagpur, India
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
Moderator: Sudip Misra, Indian Institute of Technology Kharagpur, India
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)