We look forward to meeting you!
This conference consists of a session with an invited keynote given by a top researcher working in the field of emergent and quantum technologies, which will be available online. We also have a session dedicated to presenting the papers submitted for the conference and accepted for the oral presentation. There will also be an online/remote and poster session which will give an opportunity to present and discuss the best research works accepted for the conference.
The participants get access to a wide variety of talks in different disciplines.
Top researchers working in the fields of emergent and quantum technologies
talk about the recent progress in emergent and quantum technologies and possible future research directions
Due to the pandemic, participants have the following three options:
W. Bernard Lee
W. Bernard Lee, Anthony G. Constantinides
HedgeSPA Limited, Singapore; School of Accounting and Finance,
Hong Kong Polytechnic University, Hong Kong;
Financial Signals Processing Laboratory, Imperial College London,
London, United Kingdom (UK).
20mins
Remote
Zoom
Shahram Payandeh
Shahram Payandeh
Networked Robotics and Sensing Laboratory, School of Engineering
Science, Simon Fraser University, British Columbia, Canada.
20mins
Remote
Zoom
Naveed Mahmud
Naveed Mahmud, Mingyoung Joshua Jeng, Md. Alvir Islam Nobel,
Manu Chaudhary, SM Ishraq-Ul Islam, David Levy, Esam El-Araby
Electrical Engineering and Computer Science,
University of Kansas, Lawrence, Kansas, USA.
20mins
Remote
Zoom
Hugo J. Delgado-Marti
Hugo J. Delgado-Marti, Alfredo Cruz
Polytechnic University of Puerto Rico, Puerto Rico.
20mins
Galleria Ballroom A
Bikram Khanal
Bikram Khanal
School of Engineering and Computer Science, Department of
Computer Science, Baylor University, Texas, USA.
20mins
Galleria Ballroom A
Curtis Busby-Earle
Curtis Busby-Earle
Department of Computing, The University of the West Indies, Mona, Jamaica.
Fabiola Canete-Leyva
Fabiola Canete-Leyva, Carlos A. Perez-Delgado, Salvador E. Venegas-Andraca
Faculty of Physical and Mathematical Sciences, Benemerita Universidad
Autonoma de Puebla, Mexico; School of Computing, University of Kent,
Canterbury, England, UK; Computer Science Department, Tecnologico de
Monterrey Campus Santa Fe, Mexico.
Paper Submission Deadline: May 18, 2022
PAPER SUBMISSION PORTAL: https://american-cse.org/drafts/
PUBLISHER: All accepted papers will be published by Springer Nature
INDEXATION:
Springer Science Indexations:
Online Springer Link (link.springer.com/), Scopus
(www.info.scopus.com), SCI Compendex,
EI Compendex (www.ei.org),
EMBASE, Web of Science, Inspec, ACM digital library, Google
Scholar, EBSCO, and others.
Each paper will be peer-reviewed by two experts in the field for originality, significance, clarity, impact, and soundness. In cases of contradictory recommendations, a member of the conference program committee would be charged to make the final decision (accept/reject); often, this would involve seeking help from additional referees. Papers whose authors include a member of the conference program committee will be evaluated using the double-blinded review process. (Essay/philosophical papers will not be refereed but may be considered for discussion/panels).
Luxor by MGM Resorts International.
TO QUALIFY FOR THE CONFERENCE RATE, ROOMS MUST BE RESERVED BY June 22, 2022
First-Come First-Served till the block of hotel rooms are fully booked.
32
institutions
7
speakers
126
presenters
495
attenders
$575
$675
$495
Authors with more than one accepted paper
must pay an "Extra Paper/Publication Charge" of
$495.00 for each extra paper.
For example, the
fee for one author attending with two accepted
papers would be: 675 + 495 (or 575 + 495 in the
case of a full-time student).
Javier Orduz
A postdoctoral research
scientist at Baylor University (TX, USA). He
is QMexico
coordinator, he has been part of the
organizing committee of scientific
conferences, paper author, and speaker about
Physics, Mathematics and Computing. J.O.
currently works on quantum computing and
quantum machine learning and applications.
He is enrolled in different communities
HEP-Mexico, and LXAI,
QWorld,
and Washington DC
Quantum
Computing Meetup.
jaorduz.github.io
Pablo Rivas
An assistant professor
of computer science at Baylor University
where he teaches courses related to machine
learning, deep learning, data mining, and
theory. Former assistant professor at
Marist College and earlier at NASA Goddard
Space Flight Center working on deep
learning and it applications, including
quantum machine learning and AI Orthopraxy.
rivas.ai
Sponsors, and supporters from different institutions and countries.