-------- Forwarded Message --------
*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