Program

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

1. Using Control Theory and Bayesian Reinforcement Learning for Policy Management in Pandemic Situations
   Heena Rathore (University of Texas, USA); Abhay Samant (National Instruments, USA)
2. Prediction of COVID19 Cases based on Human Behavior using DNN Regressor for Canada
   Dharitri Tripathy and Sergio G. Camorlinga (The University of Winnipeg, Canada)
3. 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)
4. 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)
5. 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

1. 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)
2. 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)
3. 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)
4. 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)
5. 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

1. 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)
2. 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)
3. 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)
4. 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)
5. 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)