[UAI] IUKM 2023 Call for Papers [Kanazawa, Japan, November 02-04, 2023]

[Van-Nam HUYNH]

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CALL FOR PAPERS

IUKM 2023: The Tenth International Symposium on INTEGRATED UNCERTAINTY in
KNOWLEDGE MODELLING and DECISION MAKING

Kanazawa, JAPAN, November 02-04, 2023

Conference website:https://www.jaist.ac.jp/IUKM/IUKM2023/

Submission link:  https://cmt3.research.microsoft.com/IUKM2023

Submission deadline:May 15, 2023

The International Symposium on Integrated Uncertainty in Knowledge
Modelling and Decision Making (IUKM) aims to provide a forum for
exchanges of research results, ideas for and experience of application
among researchers and practitioners involved with all aspects of
uncertainty management and application.


The Tenth International Symposium on Integrated Uncertainty in Knowledge 
Modelling and Decision Making (IUKM 2023) will be held in Kanazawa, Japan 
during 02-04 November, 2023, and be jointly organized by Japan Advanced 
Institute of Science and Technology (JAIST), University of Science (Vietnam 
National University Ho Chi Minh City), Vietnam, and Osaka University, Japan.

Submission Guidelines:

All papers must be original and not simultaneously submitted to another
journal or conference. The authors are invited to submit their full
papers by May 15, 2023. The submissions will be peer-reviewed for
originality and scientific quality. Authors are requested to prepare
their papers in the Springer format. Submissions should not exceed 12
pages and must be submitted as PDF electronically through the
conference's CMT submission page.

List of Topics

Relevant topics for the IUKM 2023 Symposium include (but are not limited
to) the following:

— Theory and Methodology

• Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, 
imprecise probability, random sets, rough sets, fuzzy sets and interval methods

• Modelling uncertainty and inconsistency in big data

• Learning and reasoning with uncertainty

• Logics for reasoning under uncertainty

• Uncertainty modelling in machine learning and deep learning

• Information fusion and knowledge integration in uncertain environments

• Decision making under various types of uncertainty

• Aggregation operators for decision making

• Copulas for dependence modelling

• Granular and soft computing

• Computational intelligence

— Application

• Data mining and knowledge discovery

• Multi-agent reinforcement learning

• Ontology engineering and Semantic Web

• Privacy preserving data analysis

• Intelligent data analysis and modelling

• Agents and argumentation

• Natural language processing

• Medical informatics and bioinformatics

• Ranking and recommendation systems

• Big data and cloud computing

• Social network analysis and mining

• Sensor fusion

• System identification and modelling

• Diagnosis and reliability

• Decision support systems

• Kansei/affective engineering

• Service computing

• Engineering management

• Supply chain management

• Environmental management

• Economics and econometrics

• Statistics and Applications

———
Publication

As done in previous editions, the proceedings of IUKM 2023 will be
published by Springer-Verlag in the Lecture Notes in Artificial
Intelligence series, and be available at the Conference.
___
General Chairs:
Masahiro Inuiguchi (Osaka University, Japan)
Youji Kohda (Japan Advanced Institute of Science and Technology, Japan)

Program Chairs:
Van-Nam Huynh (Japan Advanced Institute of Science and Technology, Japan)
Bac H. Le (University of Science, Vietnam National University (VNU)-Ho Chi Minh 
City, Vietnam)
Katsuhiro Honda (Osaka Prefecture University, Japan)

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[UAI] BigDat 2023 Summer: early registration January 14

[David Silva - IRDTA]

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***

7th INTERNATIONAL SCHOOL ON BIG DATA

BigDat 2023 Summer

Las Palmas de Gran Canaria, Spain

July 17-21, 2023

https://bigdat.irdta.eu/2023su

***

Co-organized by:

University of Las Palmas de Gran Canaria

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

***

Early registration: January 14, 2023

***

FRAMEWORK:

BigDat 2023 Summer is part of a multi-event called Deep 2023 consisting 
also of DeepLearn 2023 Summer. BigDat 2023 Summer participants will have the 
opportunity to attend lectures in the program of DeepLearn 2023 Summer as well 
if they are interested.

SCOPE:

BigDat 2023 Summer 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 big data. Previous events were held in Tarragona, Bilbao, 
Bari, Timisoara, Cambridge and Ancona.

Big data is a broad field covering a large spectrum of current exciting 
research and industrial innovation with an extraordinary potential for a huge 
impact on scientific discoveries, health, engineering, business models, and 
society itself. Renowned academics and industry pioneers will lecture and share 
their views with the audience.

Most big data subareas will be displayed, namely foundations, infrastructure, 
management, search and mining, analytics, security and privacy, as well as 
applications to biology and medicine, business, finance, transportation, online 
social networks, etc. Major challenges of analytics, management and storage of 
big data will be identified through 16 four-hour and a half courses and 2 
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 employment 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, 
BigDat 2023 Summer 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:

BigDat 2023 Summer will take place in Las Palmas de Gran Canaria, on the 
Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a 
renowned carnival. The venue will be:

Institución Ferial de Canarias
Avenida de la Feria, 1
35012 Las Palmas de Gran Canaria

https://www.infecar.es/

STRUCTURE:

2 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.

Also, if interested, participants will be able to attend courses developed in 
DeepLearn 2023 Summer, which will be held in parallel and at the same venue.

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

KEYNOTE SPEAKERS:

Valerie Daggett (University of Washington), tba

Sander Klous (University of Amsterdam), tba

PROFESSORS AND COURSES: (to be completed)

Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion 
for Remotely Sensed Data

Marcelo Bertalmío (Spanish National Research Council), [introductory] The 
Standard Model of Vision and Its Limitations: Implications for Imaging, Vision 
Science and Artificial Neural Networks

Gianluca Bontempi (Free University of Brussels), [intermediate/advanced] 
Machine Learning for Big Data Analytics: from Prediction to Causal Inference

Altan Çakir (Istanbul Technical University), [introductory/intermediate] 
Introduction to Distributed Deep Learning with Apache Spark

Ian Fisk (Flatiron Institute), tba

Ravi Kumar (Google), [intermediate/advanced] Differential Privacy

Wladek Minor (University of Virginia), [introductory/advanced] Big Data in 
Biomedical Sciences

José M.F. Moura (Carnegie Mellon University), [introductory/intermediate] Graph 
Signal Processing and 

[UAI] Full-time assistant professor in ethics for CS at UNamur

[Benoît Frenay]

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Dear colleagues,

If you are looking for a team of kind and passionate colleagues that value both 
research and teaching, the Faculty of Computer Science at UNamur has an open 
academic position in ethics for computer science.  The Faculty is more than 50 
years old and is located in Namur, an historical city at the center of 
Wallonia.  We are looking for candidates that will create and contribute to 
collaborations in line with the Faculty's areas of interest (software 
engineering, data engineering, data science, artificial intelligence, security, 
formal methods, modeling...).

All details can be found here (deadline is January 3rd): 
https://jobs.unamur.be/emploi.2022-10-28.0704615291

Best regards,

Benoît Frénay
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[UAI] Multiple AI/ML faculty openings at Washington State University

[Janardhan Rao (Jana) Doppa]

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Dear Colleagues,

The School of EECS in Washington State University, Pullman is looking for 
multiple tenure-track faculty in AI, machine learning, sequential 
decision-making, natural language processing, security of AI/ML systems, and ML 
for security. We plan to make several additional faculty hires in AI and ML 
over the next couple of years to build a critical mass.

More details are here: tinyurl.com/eecsintelsys

The new faculty will join the current AI/ML group of five faculty (Nghia 
Hoang, Yan Yan, Diane 
Cook, Larry Holder, 
and Jana Doppa) and will have numerous 
collaboration opportunities with the newly established NSF-USDA AI Institute 
for Agriculture (https://agaid.org/), DoD Cybersecurity Institute 
(https://cyser.wsu.edu/), and PNNL-WSU Advanced Grid Institute 
(https://natlab.wsu.edu/grid/).

Please apply to join us and email me (jana.doppa AT wsu.edu) 
if you have any questions.

-- Jana
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[UAI] Final results for the UA-2022I competition

[Rina Dechter]

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Dear members of AI Inference and Machine Learning Communities,

We are happy to report the conclusion of the UAI-2022 competition. For details 
and final results see https://uaicompetition.github.io/uci-2022/

Best wishes and happy holidays

UAI-2022 Competition Organizers

Rina Dechter (University of California, Irvine)
Vibhav Gogate (University of Texas, Dallas)

Alexander Ihler (University of California, Irvine)

Junkyu Lee (IBM Research)

Bobak Pezeshki (University of California, Irvine)

Nicholas Cohen (University of California, Irvine)

Anna K. Raichev (University of California, Irvine)

--
Rina Dechter
Distinguished Professor, Department of Computer Science
University of California, Irvine
Irvine, CA 92697-3425
(949) 824-6556
dech...@ics.uci.edu
http://www.ics.uci.edu/~dechter
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[UAI] Call for Papers: IEEE International Conference on High Performance Switching and Routing, Deadline: January 23, 2023

[Eirini Eleni Tsiropoulou]

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--
IEEE International Conference on High Performance Switching and Routing

Artificial Intelligent Next Generation (NextG) Integrated Communications and 
Computing Systems

5-7 June 2023 @ Albuquerque, New Mexico


https://hpsr2023.ieee-hpsr.org/

https://twitter.com/ieeehpsr2023


*IEEE HPSR 2023 Organizing Committee is planning for an in-person conference 
and encourages the authors to participate physically; however, we understand 
that the pandemic situation is not over yet. Therefore, depending on the 
situation during the conference time, remote participation and online 
presentation may be allowed under special circumstances.

--


Next Generation (NextG) Integrated Communications and Computing Systems are 
envisioned to be characterized by resiliency, security, robustness, 
adaptability, and autonomy, while being supported by modern communication 
devices, computing solutions, networks, and systems. New networking 
technologies and intelligent techniques are needed to efficiently and 
effectively cope with the intricacy in traffic demands, as well as the 
heterogeneity of the services and applications requested by the end-users. In 
parallel, the advent of the Digital Continuum, i.e., 
device-to-edge-to-fog-to-Cloud continuum, promises to offer low-latency and 
ubiquitous computation to heterogeneous mobile and Internet of Things devices. 
A rich array of network services is expected to emerge seeking to realize 
greater synergy across the various component subsystems of the NextG Integrated 
Communications and Computing Systems.


The main focus of the HPSR 2023 - the 24th edition of HPSR conference - will be 
to assess how breakthrough changes occurring to NextG Integrated Communications 
and Computing Systems are affecting areas related to switching and routing, and 
NextG networks and systems in general. We are soliciting original and 
thought-provoking works on big data, data analytics, cloud and edge services, 
and artificial intelligent techniques applied to networking and switching and 
routing. Works on autonomous networks, 5G/6G, Industry 4.0, social networks, 
network, cybersecurity, virtualization, and other advanced topics are also 
welcome. Papers describing original, previously unpublished research, 
experimental efforts, practical experiences, as well as visionary roadmaps, in 
all aspects of switching and routing, and NextG networks and systems are 
solicited. Research works on the following topics, but not limited to, are 
welcome for submission through the following symposia:


Track A: NextG Integrated Communications and Computing Systems Symposium

- Application of data analytics to switching and routing

- Artificial intelligent routing and resource-allocation algorithms

- Behavior-aware human-centric NextG networks and systems

- Deep-learning technologies for NextG networks

- Digital Continuum -- device-to-edge-to-fog-to-Cloud continuum

- Dynamic bandwidth access and management for smart-factory/Industry 4.0 
applications

- Experimental measurements and testbed implementations

- Game theory enabling resource allocation and routing

- High performance, programmable networks for the Internet of Things

- Integrated access and backhaul technologies

- Integrated caching, computation, and communications

- Positioning, Navigation, and Timing techniques

- Quality of Experience resulting from intelligent routing

- Quality of Service Optimization and resource allocation

- Reconfigurable Intelligent Surfaces-enabled switching and routing

- Switching architectures for NextG applications

- Traffic monitoring and modeling applied to switching and routing

- Traffic predictions in routing and resource assignment


Track B: High-Performance High Functionality Architectures Symposium

- Address lookup algorithms, packet classification, scheduling, and dropping

- Applications of data science and analysis on high-performance networks

- Applications of GPU on network functions

- Efficient data structures for networking applications

- Future technologies for IoT

- High-speed packet processors

- ICT enabling technologies for e-health systems

- Multiprocessor networks

- Nano-communication networks

- Network management

- Network traffic characterization and measurements

-Optical switching and routing

-Power-aware switching, bridging, and routing protocols

-Routing and resource allocation for Tactile Internet

-Switching, bridging, and routing protocols whether wide-area or data centers

-Switching support to Extended reality (including virtual, augmented, and mixed 
reality)

-Traffic characterization and engineering

-Standardization activities of emerging high 

[UAI] [CFP] IEEE ICDCS 2023: Call For Papers - submission due Jan. 21, 2023

[zongxing . xie]

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*** Please accept our apologies if you receive multiple copies of this CFP ***

=

**

The 43rd IEEE International Conference on Distributed Computing Systems (ICDCS 
2023), 18 July -21 July, 2023, Hong Kong, China

https://icdcs2023.icdcs.org/

**



Call for Papers (due in 1 months)



The 43rd IEEE International Conference on Distributed Computing Systems (ICDCS) 
is a premier international forum for researchers and practitioners to present, 
discuss and exchange cutting edge ideas and latest findings on topics related 
to any aspects of distributed computing systems. We invite you to submit your 
original contributions to ICDCS 2023 
(https://icdcs2023.icdcs.org/).





Important Dates



Abstract Submission: January 14, 2023 (23:59, UTC-5, EST)

Full Paper Submission: January 21, 2023 (23:59, UTC-5, EST)

Notification of Acceptance: April 3, 2023

Camera-ready Paper Submission: May 8, 2023



Topics of interest include, but are not limited to:



Cloud Computing and Data Centers

Distributed Algorithms and Theory

Distributed Big Data Systems and Analytics

Distributed Dependability and Resilience

Distributed Operating Systems and Middleware

Edge Computing

Internet of Things and Cyber-Physical Systems

Mobile and Wireless Computing

Security, Privacy, and Trust in Distributed Systems

Blockchain

AI for Distributed Systems and Distributed Systems for AI

Insights from Industrial Experience



Papers must be original and unpublished, and must not be submitted for 
publication elsewhere concurrently. All paper submissions should follow the 
IEEE 8.5″ x 11″ two-column format using 11pt fonts and the IEEE Conference 
template (downloadable by selecting "Conferences" in the IEEE-Template Selector 
https://template-selector.ieee.org/).
 Each submission can have up to 11 pages (including references). Papers 
exceeding this page limit or with smaller fonts will be rejected without 
review. The submitted manuscripts should be anonymized for double-blinded 
review.



Paper submission website: 
https://easychair.org/conferences/?conf=icdcs2023



If your submission is accepted for publication, up to 2 over length pages may 
be purchased for the final camera-ready version. Each accepted paper must have 
at least one author registered and be presented during the conference. No-show 
paper will be reported to the publisher and removed from the conference 
publication. For authors with multiple papers accepted by the conference, a 
separate author registration is required for each paper.



Best Regards,

Ruidong Li, Alessandro E. C. Redondi, Zongxing Xie

Publicity Chairs of ICDCS 2023


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[UAI] Special Issue CFP: Applied Data Science for Social Good

[V Pendyala]

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Dear Colleagues,

Dr. Celestine and I cordially invite you / your team to submit your 
unpublished, original work that aligns with the Special Issue CFP for 
consideration of publication. The journal is abstracted and indexed by Scopus, 
ESCI, Ei Compendex, Inspec, DOAJ. For more details, please see: 
https://www.mdpi.com/si/154726
[https://www.mdpi.com/img/journals/BDCC-logo-social.png?8600e93ff98dbf14]
Big Data and Cognitive Computing
Big Data and Cognitive Computing, an international, peer-reviewed Open Access 
journal.
www.mdpi.com








With every best wish,
Vishnu S. Pendyala, Ph.D.
https://www.sjsu.edu/people/vishnu.pendyala/
Pendyala, Vishnu | People | San Jose State 
University
Email. Preferred: vishnu (dot) pendyala (at) sjsu (dot) edu Education. PhD, MS, 
BS in Computer Engineering, MBA in Finance. Bio. ACM Distinguished Speaker 
(2019 - 2022) Chair (2022), Vice Chair (2019), Secretary (2021), IEEE Computer 
Society, SCV Chapter
www.sjsu.edu



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