Dear Colleague,
Many thanks for supporting the International Webinar Series. As we are
following GMT, first, please check the time zones in your country and
make sure you follow the timings correctly. Please read the following
instructions carefully for the smooth operations of the daily
technical program. Please join Webex using one of the methods below.
Meeting link: https://mir.webex.com/mir/j.php?MTID=m34eeb3471f71c939ce9f09fd8b3696e1
Meeting number: 166 175 6636
Password: pdJpwYNh322
Join by video system
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You can also dial 210.4.202.4 and enter your meeting number.
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Access code: 166 175 6636
1. Please make sure that you have the adequate browser / plugins etc.
to run Webex. It is better to use your laptop / desktop computer and
mute your mobile phones during the webinar. Unless any further updates
from us, you may use the above Webex joining links daily.
2. Please assemble not earlier than 10 minutes and try to assemble on
time. On July 22, we have the following speakers:
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Speaker I: Prof. Dr. Thomas Hanne,
University of Applied Sciences and Arts Northwestern Switzerland, Switzerland
(July 22, 12:00 - 13:00 GMT)
Title: Computational Intelligence in Supply Chain Management
Abstract: We provide a brief introduction into Computational
Intelligence (CI). After this, some selected hard-to-solve problems in
supply chain management will be discussed including mathematical
formulations: vehicle routing problems, capacitated lot-sizing
problems, and facility location problems. We also give a brief
overview of solving such problems with CI techniques, especially
approaches from the field of metaheuristics. In addition, future
trends and open issues in practice regarding a better solution of
considered supply chain management problems will be discussed.
Biography: Thomas Hanne received master's degrees in Economics and
Computer Science, and a PhD in Economics. From 1999 to 2007 he worked
at the Fraunhofer Institute for Industrial Mathematics (ITWM) as
senior scientist. Since then he is Professor for Information Systems
at the University of Applied Sciences and Arts Northwestern
Switzerland and Head of the Competence Center Systems Engineering
since 2012. Thomas Hanne is author of more than 140 journal articles,
conference papers, and other publications and editor of several
journals and special issues. His current research interests include
multicriteria decision analysis, evolutionary algorithms,
metaheuristics, optimization, simulation, systems engineering,
software development, logistics, and supply chain management.
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Speaker II: Prof. Dr. Lucian Busoniu,
Technical University of Cluj-Napoca, Romania
(July 22, 13:00 - 15:00 GMT)
Title: Fundamentals of reinforcement learning
Abstract: In this talk, we describe the class of problems tackled by
reinforcement learning and some essential algorithms. We start with
dynamic programming foundations, and build on them to cover some
representative model-free, reinforcement learning approaches, touching
on essential points like exploration. We pay special attention to
function approximation, which is essential in practice, and use it to
build some representative approximate RL algorithms. Several
applications are pointed out along the way.
Biography: Lucian Busoniu received his Ph.D. degree \emph{cum laude}
from the Delft University of Technology, the Netherlands, in 2009. He
is a full professor with the Department of Automation at the Technical
University of Cluj-Napoca, where he leads the group on Robotics and
Nonlinear Control. He has previously held research positions in the
Netherlands and in France. His research interests include nonlinear
optimal control using artificial intelligence and reinforcement
learning techniques, robotics, and multiagent systems. His
publications include among others several influential review articles
and a book on reinforcement learning. He serves on the editorial board
of the Elsevier journal Engineering Applications of Artificial
Intelligence, and was the recipient of the 2009 Andrew P. Sage Award
for the Best Paper in the IEEE Transactions on Systems, Man, and
Cybernetics.
3. Attendee interaction during the session: As we are dealing with
nearly 1000 participants, it is important that all attendees mute the
microphone soon after joining the session. Please don't flood the
chat windows with greetings and thank you messages. There will be a Q
and A session soon after every talk. Attendees may place their
questions (only very important and that might be also useful for the
whole audience) in the chat window and the moderator will select only
few of them (depending on the time availability).
4. We will distribute participation certificates for each session
during the following day. Participation certificates will be shared on
a drive. Each attendee will have to complete an online form within 12
hours after the completion of the session. Please take adequate time
to provide your personal details / information as further correction
requests will not be entertained. The feedback form will also contain
few "simple" technical questions related to the particular session
(won't take more than 5 minutes to complete). Please note that the
feedback form will be given in the Webex chat window soon after every
session. So it is mandatory to stay until the end of the session and
also complete all sections in the feedback form to receive the
certificate. You may discard filling the feedback form, if you don't
need the participation certification.
Our resources are limited and we also have to go for four weeks. So we
kindly request your understanding and support as we might not be able
to serve any individual queries related to the webinars.
Thank you all and we look forward to seeing you during the Webinars.
Please stay safe and healthy!
Yours sincerely,
Yours sincerely,
Prof. (Dr.) Ajith Abraham
Director - Machine Intelligence Research Labs (MIR Labs)
Scientific Network for Innovation and Research Excellence
11, 3rd Street NW
P.O. Box 2259
Auburn, Washington 98071, USA
http://www.mirlabs.org
Email: [log in to unmask]
Tel: +1(253) 2453001 / +1(646) 8016894
Personal WWW: http://www.softcomputing.net
ORCID: https://orcid.org/0000-0002-0169-6738
SCOPUS: https://www.scopus.com/authid/detail.uri?authorId=7202760099
Publons: https://publons.com/researcher/2897631/ajith-abraham/
G-Scholar: http://scholar.google.com/citations?user=i95DGLQAAAAJ
Researchgate: https://www.researchgate.net/profile/Ajith_Abraham2
DBLP: https://dblp.org/pers/hd/a/Abraham:Ajith
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