[AISWorld] IEEE COINS (Virtual & Free Registration): Invitation to to Participate & Attend

[IEEE COINS Conference]

*IEEE COINS 2021: IEEE International Conference on Omni-Layer Intelligent
Systems *

*Virtual - FREE to Register & Attend*

IEEE | IEEE RAS | IEEE CEDA | IEEE COMPUTER SOCIETY | VSA-TC IEEE CAS |
E-HEALTH-TC IEEE COMSOC | TC-ICPS IEEE IES | IEEE IOT

Website: http://coinsconf.com

Registration portal: https://cvent.me/5xo0vK
<https://urldefense.com/v3/__https:/cvent.me/5xo0vK__;!!OToaGQ!84hjo50C9rV2dmxgMmrPZU9Q-nx7cXvs-wlDOvX7TKpkzxgonuzyeSWGrTe3x2HC0X21VA$>



Dear Friends, Dear Colleagues,

I want to bring to your attention the IEEE COINS 2021 (
https://cvent.me/5xo0vK | http://coinsconf.com/), which will be held online
between August 23 to August 26, 2021, from 1:30 pm to 8 pm CET. I am also
excited to let you know that the COINS 2021 will be *free to register and
attend*, thanks to the sponsors of the event! Come join us for a great
lineup of keynote speakers and panelists. Are you interested in taking part
in shaping and adding new dimensions to the future IoT and AI ecosystem?
are you seeking to harness the opportunities afforded by the tsunami of new
technologies? Do you want to stay ahead and learn about the biggest digital
technologies that are radically shifting the paradigm? or just curious
about what IoT, AI, Big Data are all about and how they impact every aspect
of our life, society, and business? IEEE COINS (https://coinsconf.com/) is
the right place to be. IEEE COINS brings together experts in Digital
Transformation (from AI and IoT to Cloud, Blockchain, Cybersecurity, and
Robotics) from around the globe. IEEE COINS includes a multi-disciplinary
program from technical research papers to panels, workshops, and tutorials
on the latest technology developments and innovations addressing all
important aspects of the ecosystem.



*You can browse below the event’s highlights and find out about keynote
talks, tutorials, and workshops:*

·       Prof. Yiran Chen, Duke University: Hardware/Software Co-design
for AI Systems

·       Prof. Marian Verhelst, KU Leuven: Exploiting AI in embedded devices

·       Prof. David Atienza, EPFL: Approximate Edge AI Wearables: The
Path Towards Sustainability in Healthcare

·       Prof. Latif Ladid, University of Luxembourg, IPv6-based New
Internet empowering Super IoT and Next Generation Wireless (5G/6G) and
P2P Blockchain

·       Wo Chang, National Institute of Standards and Technology
(NIST): Massive Federated Intelligent Reality

·       Andrea Calimera, Politecnico di Torino: Inference on the Edge
with Tiny Deep Neural Networks

·       Prof. Hong-Chuan, Yang University of Victoria: Wireless
Transmissions for Green Internet of Things: Session-specific Analysis
and Design

·       Prof. Francesco Regazzoni, University of Amsterdam: Privacy
and Security Challenges for Machine Learning in IoT Devices

·       Prof. Jie Han, University of Alberta: Approximate and Reliable
Computing for Machine Learning and Safety-Critical Systems

·       Prof. A. Senhaji Hafid, University of Montreal: Scaling Blockchain

·       Dr. Abbas Rahimi, IBM Research-Zürich laboratory:
Hyperdimensional Computing: From Efficient Classifiers to General AI

·       Dr. Melika Peyvand, University of Zurich:
Algorithm-Circuits-Device Co-design for Edge Neuromorphic Intelligence

·       Prof. Mohamed-Slim Alouini and Dr. Mustafa A. Kishk, King
Abdullah University of Science and Technology: Challenges and
Solutions for Flight Duration Enhancement in UAV Wireless Networks

·       Dr. Paolo Palmieri, University College Cork: Secure and
Private Data Sharing in Complex Multi-Tenant Settings

·       Dr. Alberto Bosio, University of Lyon: Approximate Computing
for Safety-Critical Applications

·       Prof. Weiqiang Liu, Nanjing University of Aeronautics and
Astronautics: Approximate Computing: Machine Learning Applications and
Security

·       Dr. Daniele Jahier Pagliari and Dr. Valentino Peluso,
Politecnico di Torino: Inference on the Edge with Tiny Deep Neural
Networks