[UAI] WorldCist'22 - 10th World Conference on Information Systems and Technologies | Montenegro

[ML]

* Conference listed in CORE Ranking

** Google Scholar H5-Index = 23

*** Best papers selected for SCI/SSCI journals



--

WorldCIST'22 - 10th World Conference on Information Systems and Technologies

12-14 April 2022, Budva, Montenegro

http://worldcist.org 

---


The WorldCist'22 - 10th World Conference on Information Systems and 
Technologies, to be held in Budva, Montenegro, 12-14 April 2022, is a global 
forum for researchers and practitioners to present and discuss the most recent 
innovations, trends, results, experiences and concerns in the several 
perspectives of Information Systems and Technologies.

We are pleased to invite you to submit your papers to WorldCist'22. All 
submissions will be reviewed on the basis of relevance, originality, importance 
and clarity.



TOPICS

Submitted papers should be related with one or more of the main themes proposed 
for the Conference:

A) Information and Knowledge Management (IKM);

B) Organizational Models and Information Systems (OMIS);

C) Software and Systems Modeling (SSM);

D) Software Systems, Architectures, Applications and Tools (SSAAT);

E) Multimedia Systems and Applications (MSA);

F) Computer Networks, Mobility and Pervasive Systems (CNMPS);

G) Intelligent and Decision Support Systems (IDSS);

H) Big Data Analytics and Applications (BDAA);

I) Human-Computer Interaction (HCI);

J) Ethics, Computers and Security (ECS)

K) Health Informatics (HIS);

L) Information Technologies in Education (ITE);

M) Technologies for Biomedical Applications (TBA)

N) Information Technologies in Radiocommunications (ITR);



TYPES of SUBMISSIONS and DECISIONS

Four types of papers can be submitted:

Full paper: Finished or consolidated R&D works, to be included in one of the 
Conference themes. These papers are assigned a 10-page limit.

Short paper: Ongoing works with relevant preliminary results, open to 
discussion. These papers are assigned a 7-page limit.

Poster paper: Initial work with relevant ideas, open to discussion. These 
papers are assigned to a 4-page limit.

Company paper: Companies' papers that show practical experience, R & D, tools, 
etc., focused on some topics of the conference. These papers are assigned to a 
4-page limit.

Submitted papers must comply with the format of Advances in Intelligent Systems 
and Computing Series (see Instructions for Authors at Springer Website), be 
written in English, must not have been published before, not be under review 
for any other conference or publication and not include any information leading 
to the authors’ identification. Therefore, the authors’ names, affiliations and 
bibliographic references should not be included in the version for evaluation 
by the Program Committee. This information should only be included in the 
camera-ready version, saved in Word or Latex format and also in PDF format. 
These files must be accompanied by the Consent to Publish form filled out, in a 
ZIP file, and uploaded at the conference management system.

All papers will be subjected to a “double-blind review” by at least two members 
of the Program Committee.

Based on Program Committee evaluation, a paper can be rejected or accepted by 
the Conference Chairs. In the later case, it can be accepted as the type 
originally submitted or as another type. Thus, full papers can be accepted as 
short papers or poster papers only. Similarly, short papers can be accepted as 
poster papers only.

Poster papers and Company papers are not published in the Conference 
Proceedings, being only presented and discussed. The authors of accepted poster 
papers should build and print a poster to be exhibited during the Conference. 
This poster must follow an A1 or A2 vertical format. The Conference includes 
Work Sessions where these posters are presented and orally discussed, with a 7 
minute limit per poster.

The authors of accepted Full papers will have 15 minutes to present their work 
in a Conference Work Session; approximately 5 minutes of discussion will follow 
each presentation. The authors of accepted Short papers and Company papers will 
have 11 minutes to present their work in a Conference Work Session; 
approximately 4 minutes of discussion will follow each presentation.



PUBLICATION & INDEXING

To ensure that a full paper or short paper is published, poster paper or 
company paper is presented, at least one of the authors must be fully 
registered by the 8nd of January 2022, and the paper must comply with the 
suggested layout and page-limit. Additionally, all recommended changes must be 
addressed by the authors before they submit the camera-ready version.

No more than one paper per registration will be published. An extra fee must be 
paid for publication of additional papers, with a ma

[UAI] DSCI 2021 Call For Papers

[2021 Dsci]

The 4th International Conference on Data Science and Computational
Intelligence (DSCI 2021)



20 ~ 22, December 2021, London, United Kingdom



https://hpcn.exeter.ac.uk/dsci2021/





Call for Papers



It is pleasure to invite you to the 4th International Conference on Data
Science and Computational Intelligence (DSCI-2021).



DSCI-2021 aims to identify the challenging problems faced by the
development of big data, artificial intelligence, social computing, data
mining, information retrieval, and machine learning. It is planned to be
hosted on 20 ~ 22, December 2021 in London, UK. All accepted papers are
expected to be included in IEEE Xplore and will be indexed by Engineering
Index (EI). The authors of selected best papers will be invited post
conference to extend their contributions for special issues of prestigious
journals to be planned in conjunction with the conference.



Topics of interest include, but are not limited to, the following:



Track 1: Data Science Theory, Algorithms and Architectures



Foundations of Data Science

Programming Techniques

Analytics and Metrics

Representation Formats

Cloud Computing Techniques

Mobile and Pervasive Computing

Data Management

Data Quality

Social Computing

Social Network Analysis

Protection, Integrity and Privacy

Distributed Data Mining

Visualization



Track 2: Data Science Applications



Web Intelligence

Humanities

Stock Market Analysis

Scalable Cloud Data Management

Privacy and Security

Geosciences

Manufacturing and Supply Chains

Earth Science

Biomedical Informatics

High dimensional data

Social Networks

B2B Marketing and Sales

Healthcare

Sustainable development

Advanced Manufacturing



Track 3: Computational Intelligence for Big Data Processing



Artificial Neural Networks and Learning methods

Deep Learning

Knowledge based systems

Uncertainty management

Global optimization methods

Intelligent Control Systems

Intelligent Internet Systems

Intelligent Software Systems

Parallel Computation

Pattern Recognition

Systems Modelling

Web Mining



Track 4: Data Mining and Applications



Parallel and distributed data mining algorithms

Data streams mining

Time-series data mining

Graph mining

Spatial data mining

Text video, multimedia data mining

Web mining

Pre-processing techniques

Visualization

Security and information hiding in data mining

Data mining applications





Paper Submission Guideline:



All papers need to be submitted electronically through the conference
submission website ( https://hpcn.exeter.ac.uk/dsci2021/) with PDF format.
The materials presented in the papers should not be published or under
submission elsewhere. Each paper is limited to 8 pages (or 10 pages with
over length charge) including figures and references using IEEE Computer
Society Proceedings Manuscripts style (two columns, single-spaced, 10
fonts).



Manuscript Templates for Conference Proceedings can be found at:



https://www.ieee.org/conferences_events/conferences/publishing/templates.html





Selected papers from DSCI 2021 will be included into the IEEE conference
proceedings published by IEEE Computer Society Press (indexed by EI). At
least one of the authors of any accepted paper is requested to register the
paper at the conference.



Important Dates:



Paper Submission Deadline:  8 October 2021

Authors Notification:8 November 2021

Camera-Ready Paper Due:  1 December 2021

Early Registration Due:  1 December 2021

Conference Date:  20-22 December 2021



Contact Us



Here's where you can reach us: iucccit2...@googlegroups.com



For other details please visit:



https://hpcn.exeter.ac.uk/dsci2021/index.php
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[UAI] ACM International Conference on Information Technology for Social Good (GoodIT 2022): First Call for Special Track Proposals

[George A. Papadopoulos]

*** First Call for Special Track Proposals ***

ACM International Conference on Information Technology for Social Good
(GoodIT 2022)

7–9 September, 2022, 5* St. Raphael Resort & Marina, Limassol, Cyprus

https://cyprusconferences.org/goodit2022/


Scope

ACM GoodIT focuses on the application of IT technologies to social good. Social 
good
is typically defined as an action that provides some sort of benefit to the general 
public. In this case, Internet connection, education, and healthcare are all good 
examples of social goods. However, new media innovations and the explosion of

online communities have added new meaning to the term. Social good is now about
global citizens uniting to unlock the potential of individuals, technology, and 
collaboration to create positive societal impact.


GoodIT topics include but not limited to:
• IT for education
• Data Science
• Digital solutions for Cultural Heritage
• Data sensing, processing, and persistency
• Game, entertainment, and multimedia applications
• Health and social care
• IT for development
• Privacy and trust issues and solutions
• Sustainable cities and transportation
• Smart governance and e-administration
• IT for smart living
• Technology addressing the digital divide
• IT for automotive
• Frugal solutions for IT
• Ethical computing
• Decentralized approaches to IT
• Citizen science
• Socially responsible IT solutions
• Sustainable IT
• Social informatics
• Civic intelligence


Special Tracks Proposals

GoodIT 2022 will feature special tracks whose aim is to focus on a specific 
topic of
interest related to the overall scope of the conference. We solicit proposals for special 
tracks to be held within the main conference and whose publications will be included
in the conference proceedings. Tracks proposals can focus on any contemporary 
themes that highlight social good aspects in the design, implementation,
deployment, securing, and evaluation of IT technologies.  


Special Track Proposal Format
A special track proposal must contain the following information:
• Title of the special track.
• The names of the organizers (indicatively, two) with affiliations, contact
information, and a single paragraph of a brief bio.
• A short description of the scope and topics of the track (max 1/2 page) and a 
brief
explanation of: (1) why the topic is timely and important; (2) why the topic is related 
to the conference’s main theme; (3) why the track may attract a significant number of

submissions of good quality.
• Indication if a journal special issue is associated with the track, possibly with 
information on the process of selecting papers.
• The plan to disseminate the call for papers of the special track for achieving a 
reasonable number of paper submissions (a list of emailing lists will help).

• A tentative Program Committee list.
• A draft Call for Papers (max 1 page).

Publication
Papers submitted to each particular track have to satisfy the same criteria as for the 
main conference. They must be original works and must not have been previously 
published. They have to be peer-reviewed by the track's Program Committee (at least
three reviews per submitted paper are required). The final version of papers must 
follow the formatting instructions of the main conference
(https://cyprusconferences.org/goodit2022/index.php/authors/). At least one of the 
authors of all accepted papers must register and present the work at the conference;
otherwise, the paper will not be published in the proceedings. All accepted and 
presented papers will be included in the conference proceedings published in the

ACM Digital Library. The special track may provide an option for publishing 
extended
versions of selected papers in a special issue of a journal.  


Special Track Proposal Submission Guidelines
Special track proposals should be submitted as a single PDF file to the special track 
Chairs (see below) via email  to: ombretta.ga...@unipd.it, valentino.vra...@stuba.sk, 
and rys...@fit.vut.cz. The subject of the e-mail must be: “GoodIT 2022 – special
track proposal”. The special track chairs may ask proposers for supplying additional 
information during the review period. 



Important Dates

• Special Track Proposal Submission Deadline: 13 December 2021
• Notification of Selection: 20 December 2021


Contact (Special Tracks Chairs)

• Ombretta Gaggi (University of Padua, Italy)
• Ondrej Rysavy (Brno University of Technology, Czech Republic)
• Valentino Vranic (Slovak University of Technology in Bratislava, Slovakia)
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[UAI] DeepLearn 2022 Spring: early registration October 15

[David Silva - IRDTA]

**



6th INTERNATIONAL SCHOOL ON DEEP LEARNING



DeepLearn 2022 Spring



Guimarães, Portugal



April 18-22, 2022



https://irdta.eu/deeplearn2022sp/



*



Co-organized by:



Algoritmi Center

University of Minho, Guimarães



Institute for Research Development, Training and Advice – IRDTA

Brussels/London



**



Early registration: October 15, 2021



**



SCOPE:



DeepLearn 2022 Spring will be a research training event with a global scope 
aiming at updating participants on the most recent advances in the critical and 
fast developing area of deep learning. Previous events were held in Bilbao, 
Genova, Warsaw, Las Palmas de Gran Canaria, and Bournemouth.



Deep learning is a branch of artificial intelligence covering a spectrum of 
current frontier research and industrial innovation that provides more 
efficient algorithms to deal with large-scale data in a huge variety of 
environments: computer vision, neurosciences, speech recognition, language 
processing, human-computer interaction, drug discovery, biomedical informatics, 
image analysis, recommender systems, advertising, fraud detection, robotics, 
games, finance, biotechnology, physics experiments, etc. etc. Renowned 
academics and industry pioneers will lecture and share their views with the 
audience.



Most deep learning subareas will be displayed, and main challenges identified 
through 24 four-hour and a half courses and 3 keynote lectures, which will 
tackle the most active and promising topics. The organizers are convinced that 
outstanding speakers will attract the brightest and most motivated students. 
Face to face interaction and networking will be main ingredients of the event. 
It will be also possible to fully participate in vivo remotely.



An open session will give participants the opportunity to present their own 
work in progress in 5 minutes. Moreover, there will be two special sessions 
with industrial and recruitment profiles.



ADDRESSED TO:



Graduate students, postgraduate students and industry practitioners will be 
typical profiles of participants.



However, there are no formal pre-requisites for attendance in terms of academic 
degrees, so people less or more advanced in their career will be welcome as 
well. Since there will be a variety of levels, specific knowledge background 
may be assumed for some of the courses.



Overall, DeepLearn 2022 Spring is addressed to students, researchers and 
practitioners who want to keep themselves updated about recent developments and 
future trends. All will surely find it fruitful to listen to and discuss with 
major researchers, industry leaders and innovators.



VENUE:



DeepLearn 2022 Spring will take place in Guimarães, in the north of Portugal, 
listed as UNESCO World Heritage Site and often referred to as the birthplace of 
the country. The venue will be:



TBA



STRUCTURE:



3 courses will run in parallel during the whole event. Participants will be 
able to freely choose the courses they wish to attend as well as to move from 
one to another.



Full in vivo online participation will be possible. However, the organizers 
highlight the importance of face to face interaction and networking in this 
kind of research training event.



KEYNOTE SPEAKERS:



Christopher Manning (Stanford University), Self-supervised and Naturally 
Supervised Learning Using Language



Kate Smith-Miles (University of Melbourne), Stress-testing Optimisation 
Algorithms via Instance Space Analysis



Zhongming Zhao (University of Texas, Houston), Deep Learning Approaches for 
Predicting Virus-Host Interactions and Drug Response



PROFESSORS AND COURSES:



Eneko Agirre (University of the Basque Country), [intermediate] Deep Learning 
for Natural Language Processing



Mohammed Bennamoun (University of Western Australia), [intermediate/advanced] 
Deep Learning for 3D Vision



Altan Çakır (Istanbul Technical University), [introductory] Introduction to 
Deep Learning with Apache Spark



Rylan Conway (Amazon), [introductory/intermediate] Deep Learning for Digital 
Assistants



Jifeng Dai (SenseTime Research), [intermediate] AutoML for Generic Computer 
Vision Tasks



Jianfeng Gao (Microsoft Research), [introductory/intermediate] An Introduction 
to Conversational Information Retrieval



Daniel George (JPMorgan Chase), [introductory] An Introductory Course on 
Machine Learning and Deep Learning with Mathematica/Wolfram Language



Bohyung Han (Seoul National University), [introductory/intermediate] Robust 
Deep Learning



Lina J. Karam (Lebanese American University), [introductory/intermediate] Deep 
Learning for Quality Robust Visual Recognition



Xiaoming Liu (Michigan State University), [intermediate] Deep Learning for 
Trustworthy Biometrics



Jennifer Ngadiuba (F

[UAI] DeepLearn 2022 Winter: early registration October 9

[David Silva - IRDTA]

**


5th INTERNATIONAL SCHOOL ON DEEP LEARNING


DeepLearn 2022 Winter


Bournemouth, UK


January 17-21, 2022


https://irdta.eu/deeplearn/2022wi/


***


Co-organized by:


Department of Computing and Informatics
Bournemouth University


Institute for Research Development, Training and Advice – IRDTA
Brussels/London


**


Early registration: October 9, 2021


**


SCOPE:


DeepLearn 2022 Winter will be a research training event with a global scope 
aiming at updating participants on the most recent advances in the critical and 
fast developing area of deep learning. Previous events were held in Bilbao, 
Genova, Warsaw and Las Palmas de Gran Canaria.


Deep learning is a branch of artificial intelligence covering a spectrum of 
current exciting research and industrial innovation that provides more 
efficient algorithms to deal with large-scale data in a huge variety of 
different environments: computer vision, neurosciences, speech recognition, 
language processing, human-computer interaction, drug discovery, biomedical 
informatics, image analysis, recommender systems, advertising, fraud detection, 
robotics, games, etc. etc. Renowned academics and industry pioneers will 
lecture and share their views with the audience.


Most deep learning subareas will be displayed, and main challenges identified 
through 24 four-hour and a half courses and 3 keynote lectures, which will 
tackle the most active and promising topics. The organizers are convinced that 
outstanding speakers will attract the brightest and most motivated students. 
Face to face interaction and networking will be main components of the event.


An open session will give participants the opportunity to present their own 
work in progress in 5 minutes. Moreover, there will be two special sessions 
with industrial and recruitment profiles.


ADDRESSED TO:


Graduate students, postgraduate students and industry practitioners will be 
typical profiles of participants. However, there are no formal pre-requisites 
for attendance in terms of academic degrees, so people less or more advanced in 
their career will be welcome as well. Since there will be a variety of levels, 
specific knowledge background may be assumed for some of the courses. Overall, 
DeepLearn 2022 Winter is addressed to students, researchers and practitioners 
who want to keep themselves updated about recent developments and future 
trends. All will surely find it fruitful to listen to and discuss with major 
researchers, industry leaders and innovators.


VENUE:


DeepLearn 2022 Winter will take place in Bournemouth, a coastal resort town on 
the south coast of England. The venue will be:


TBA


STRUCTURE:


3 courses will run in parallel during the whole event. Participants will be 
able to freely choose the courses they wish to attend as well as to move from 
one to another.


Full in vivo online participation will be possible. However, the organizers 
want to emphasize the importance of face to face interaction and networking in 
this kind of research training event.


KEYNOTE SPEAKERS:


Yi Ma (University of California, Berkeley), White-box Deep (Convolution) 
Networks from the Principle of Rate Reduction


Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep 
Networks


Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to 
Understand Its Expense Bills


PROFESSORS AND COURSES:


Peter L. Bartlett (University of California, Berkeley), [intermediate/advanced] 
Deep Learning: A Statistical Viewpoint


Joachim M. Buhmann (Swiss Federal Institute of Technology, Zürich), 
[introductory/advanced] Algorithm Validation for Data Science


Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] 
Anomaly Detection


Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph 
Representation Learning


Seungjin Choi (BARO AI Academy), [introductory/intermediate] Bayesian 
Optimization over Continuous, Discrete, or Hybrid Spaces


Sumit Chopra (New York University), [intermediate] Deep Learning in Healthcare


Rüdiger Dillmann (Karlsruhe Institute of Technology), 
[introductory/intermediate] Building Brains for Robots


Marco Duarte (University of Massachusetts, Amherst), 
[introductory/intermediate] Explainable Machine Learning


Charles Elkan (University of California, San Diego), [intermediate] AI and ML 
Applications in Finance and Retail


Rob Fergus (New York University), [intermediate/advanced] Self-supervised 
Learning of Visual Representations for Recognition and Interaction


João Gama (University of Porto), [introductory] Learning from Data Streams: 
Challenges, Issues, and Opportunities


Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep 
Learning for Biotechnology


Nat

[UAI] KR 2021: Call for Participation (Deadline to register: October 15)

[Thanh Dinh]

CALL FOR PARTICIPATION

18th International Conference on Principles of Knowledge Representation
and Reasoning (KR 2021)
November 3-12, 2021 - Virtual
https://kr2021.kbsg.rwth-aachen.de/

*** Registration is free but mandatory (deadline: October 15, 2021) ***

Knowledge Representation and Reasoning (KR) is a well-established and
lively field of research.  In KR, a fundamental assumption is that an
agent's knowledge is explicitly represented in a declarative form,
suitable for processing by dedicated reasoning engines. This assumption,
that much of what an agent deals with is knowledge-based, is common in
many modern intelligent systems.  Consequently, KR has contributed to
the theory and practice of various areas in AI, including automated
planning and natural language understanding, and to fields beyond AI,
including databases, verification, software engineering, and robotics.
In recent years, KR has contributed also to new and emerging fields,
including the semantic web, computational biology, cyber security, and
the development of software agents.

The KR conference series is the leading forum for timely in-depth
presentation of progress in the theory and principles underlying the
representation and computational management of knowledge.

CONFERENCE FORMAT AND REGISTRATION

KR 2021 will be organized as a virtual conference and welcomes all
researchers interested in KR to participate!

We are happy to announce that participation is *free*. The deadline for
registering is October 15, 2021. Information about how to register for
the main conference and associated events can be found at:

https://kr2021.kbsg.rwth-aachen.de/page/registration

There will be also be a limited-capacity *live gathering* in Rome to watch
the conference and exchange with other participants. For details, consult:

https://kr2021.kbsg.rwth-aachen.de/page/live_gathering_in_rome

The list of papers accepted at the main conference and the Doctoral
Consortium can also be found on the conference webpage.

INVITED SPEAKERS

* Martin Grohe (RWTH Aachen University, Germany)
* Jochen Renz  (Australian National University, Australia)
* Uli Sattler  (University of Manchester, UK)
* Joshua Tenenbaum  (MIT, USA)
* Francesca Toni  (Imperial College, UK)

TRACKS & SPECIAL SESSIONS

* Applications and Systems Track
* Recent Published Research Track
* Special Session: KR and Machine Learning
* Special Session: KR and Robotics
* Special Session: Diversity and Inclusion

WORKSHOPS

* Explainable Logic-Based Knowledge Representation (XLoKR)
* Computational Machine Ethics (CME)
*  Knowledge Representation for Hybrid and Compositional AI (KRHCAI)
*  Ontology Uses and Contribution to Artificial Intelligence (OnUCAI)
*  Second-Order Quantifier Elimination and Related Topics (SOQE)
*  Semantics-Powered Health Data Analytics (SEPDA)

TUTORIALS

* Answer Set Programming: From Theory to Practice
  by Roland Kaminski, Javier Romero, Torsten Schaub & Philipp Wanko
* Belief Revision and Judgment Aggregation in Ontologies
  by Jake Chandler and Richard Booth
* Completeness, Recall, and Negation in Open-World Knowledge Bases
  by Simon Razniewski, Hiba Arnaout, Shrestha Ghosh & Fabian M. Suchanek
* Complex Event Recognition and Forecasting
 by Elias Alevizos and Alexander Artikis
* KR&R Meets Cyber-Physical Systems: Formalization, Behavior, 
Trustworthiness

 by Marcello Balduccini, Edward Griffor & Tran Cao Son
* Planning with multi-agent, flexible, temporal, epistemic & contingent
 (MAFTEC) aspects
 by Aurélie Beynier, Frédéric Maris & Francois Schwarzentruber
* Proof-Theoretic Approaches to Logical Argumentation
 by Ofer Arieli & Christian Strasser
* Solving equations in modal and description logics
 by Philippe Balbiani

CO-LOCATED EVENTS

* NMR 2021 (20th International Workshop on Non-Monotonic Reasoning)

CONFERENCE CHAIRS

General:
* Esra Erdem (Sabanci University, Turkey)

Program:
* Meghyn Bienvenu (CNRS & University of Bordeaux, France)
* Gerhard Lakemeyer (RWTH Aachen University, Germany)

Applications and Systems Track:
* Martin Gebser (University of Klagenfurt, Austria)
* Ulrike Sattler (University of Manchester, UK)

Recently Published Research Track:
* Vladimir Lifschitz (University of Texas at Austin, USA)
* Pierre Marquis (Artois University & Institut Universitaire de France, 
France)


Special Session on KR & Machine Learning:
* Vaishak Belle (University of Edinburgh, UK)
* Luc de Raedt (KU Leuven, Belgium)

Special Session on KR & Robotics:
* Alessandro Saffioti (University of Örebro, Sweden)
* Mary-Anne Williams (University of Technology Sydney, Australia)

Workshop and Tutorials:
* Markus Kroetzsch (TU Dresden, Germany)
* Yongmei Liu (Sun Yat-sen University, China)

Doctoral Consortium:
* Jens Classen (Simon Fraser University)
* Magdalena Ortiz (TU Vienna, Austria)

Local Organization:
* Giuseppe De Giacomo (Sapienza University, Italy)
* Son Tran (New Mexico State University, USA)
* Long Tran-Thanh (University of Warwick, UK)
* Thanh Van Dinh (E

[UAI] (CFP Deadline Extended) 2021 OkIP Intl Conf on Automated & Intelligent Systems|| OkCity, USA|| Nov 15-18

[Pierre F. Tiako]

---  Call for Abstracts and Papers -
2021 OkIP International Conference on Automated and Intelligent Systems
(CAIS)
MNTC Conference Center, Oklahoma City, OK, USA & Online
November 15-18, 2021
https://eventutor.com/e/CAIS001

>> Co-located Conferences and Events
https://eventutor.com/event/4/page/4-conferences

>> Keynotes/Invited Talks
“Machine Learning for Critical Systems Security”
- Nancy R. Mead, PhD, Carnegie Mellon University, USA

“Sustainable Energy Harvesting and Wireless Power Transfer Systems”
- Manos M. Tentzeris, PhD, Georgia Institute of Technology, USA

"Blockchain Technology and its implications in Business Applications and
Healthcare IT"
- Akhil Kumar, PhD, Penn State University, USA

>> Technical Research & Industry Tracks
- Agent-based, Automated, and Distributed Supports
- Intelligent Systems and Applications
- Knowledge-based and Control Supports
- Robotics and Vehicles

>> Contribution Types
- Full Paper: Accomplished research results (6 pages)
- Short Paper: Work in progress/fresh developments (3 pages)
- Poster/Journal First: Displayed/Oral presented (1 page)

>> Important Dates (Extended):
- Submission: Oct 16, 2021
- Conference: Nov 15-18, 2021

>> Technical Program Committee
https://eventutor.com/event/6/page/12-committee

>> Venue
https://eventutor.com/event/4/page/9-venue

>> For more information, submission details, and important dates, visit:
https://eventutor.com/e/CAIS001

Please feel free to contact us for any inquiry at:
i...@okipublishing.com
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[UAI] AI jobs in Comcast

[Vaizman, Yonatan]

Hello.

My team in Comcast is searching for a Machine Learning Researcher.
Please see the job posting: 
https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/PA---Philadelphia-1800-Arch-St/Lead-Research-Engineer--Machine-Learning_R315946

My larger group, Applied AI & Discovery, has more AI positions open:
https://comcast.jibeapply.com/main/jobs?keywords=applied%20ai

Please, apply and spread the word 😊.
Thank you.
Yonatan.

Yonatan Vaizman (Pronouns: he/him/his)
Senior Researcher, Machine Learning
Applied AI
Comcast
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