IEEE International Conference on Communications
14-23 June 2021 // Virtual / Montreal
Connectivity – Security – Privacy

Program

LIVE PROGRAM

MONDAY, 14 JUNE 2021

09:00am - 10:00am (EDT)
Panel:
 "Affective Sensing: Technology vs. Ethics"

Speakers:
Ajjen Joshi, Senior Research Scientist, Affectiva
Ben Bland, Chair of the IEEE P7014 Standard WG
 

ON-DEMAND PROGRAM

12:30pm - 2:00pm (EDT)

Privacy Enhanced Speech Emotion Communication using Deep Learning Aided Edge Computing

Hafiz shehbaz Ali (EmulationAI, Australia); Fakhar ul Hassan (Information Technology University (ITU), Lahore, Punjab, Pakistan); Siddique Latif (University of Southern Queensland, Australia); Habib Ullah Manzoor (University of Engineering and Technology, Lahore, Pakistan); Junaid Qadir (Information Technology University (ITU), Punjab, Lahore, Pakistan)

Effect of the Color Temperature of LED lighting on the sensing ability of Visible Light Communications

Alexis Alfredo Dowhuszko (Aalto University, Finland); Mehmet Ilter (Aalto University, Finland); Paulo Pinho (Aalto University, Finland); Risto Wichman (Aalto University School of Electrical Engineering, Finland); Jyri Hämäläinen (Aalto University, Finland)

UAV Path Planning Using on-Board Ultrasound Transducer Arrays and Edge Support

Emanuel Figetakis (Manhattan College, USA); Ahmed Refaey (Manhattan College, USA & Western University, Canada)

A Deep Neural Network Based Environment Sensing in the Presence of Jammer

Atul Kumar (Technische Universität Dresden, Germany); Ivo Bizon Franco de Almeida (Technische Universität Dresden, Germany); Norman Franchi (Technische Universität Dresden, Germany); Gerhard P. Fettweis (Technische Universität Dresden, Germany)

Benchmarking Classical and AI-based Caching Strategies in Internet of Vehicles

Soufiane Oualil (Mohammed VI Polytechnic University, Morocco); Rachid Oucheikh (Jönköping University, Sweden); Mohamed El Kamili (Higher School of Technology, Hassan II University of Casablanca, Morocco); Ismail Berrada (Mohammed VI Polytechnic University, Morocco)

Robust ML Model for Human Counting Using Ambient WiFi Traffic from Multiple Sources

Aryan Sharma (University of New South Wales, Australia); Junye Li (University of New South Wales (UNSW) Sydney, Australia); Deepak Mishra (University of New South Wales (UNSW) Sydney, Australia); Aruna Seneviratne (University of New South Wales, Australia)

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