date:20190711

[UAI] IEEE BigData 2019 Call for Tutorial Proposal

2019-07-11 Thread CFP Conference

*Call for Tutorials*

http://cci.drexel.edu/bigdata/bigdata2019/index.html

December 9-12, 2019, Los Angeles, CA, USA

*Context and scope*

The Program Committee of the 2019 IEEE International Conference on Big Data
(IEEE BigData 2019) invites tutorial proposals with the aim of offering a
high-quality tutorial program providing attendees the opportunity to learn
from and to interact with internationally recognized experts in the area of
Big Data.

IEEE Big Data 2019 tutorials are intended to cover a wide range of topics
of interest to the Big Data community. We encourage proposals of two-hour
tutorials with broad applicability and of interest to the attendees.

Proposals of the following areas (as well as others) are solicited:

1. Big Data Foundations
2. Big Data Infrastructure
3. Big Data Management
4. Big Data Search and Mining
5. Big Data Security & Privacy

6. Hardware/OS Acceleration for Big Data
7. Big Data Applications

You can refer to the IEEE Big Data 2019
http://cci.drexel.edu/bigdata/bigdata2019/index.htmlfor more topics.
Prospective tutorial organizers are encouraged to contact the tutorial
chairs for feedback.

*Guidelines for Tutorial Proposals*

Prospective tutorial organizers are recommendedto providethe following
sections:

1. Name(s) and contact information of tutorial representative(s);
2. Tutorial title and abstract in text format (250words maximum);
3. Duration (2 hours);
4. A detailed description of the tutorial (2 pages maximum) with the
following sections:
• Goals and subtopics, specifically how they will benefit the attendees;
• Why the topics arerelevant to theattendees;
• Targeted audience (researchers, students, developers, practitioners,
etc.);
• Content level (% beginner, % intermediate, % advanced)
• Audience prerequisites;
• General description of tutorial content;
• If thepresenters are from different institutions, how toensure
cohesive content;
5. Anoutline of the tutorial (1 page in an outline form).
6. Curriculum Vitae ofeach presenter (2pages maximum each), includinga
list of short courses taught by each presenter;
7. A statement agreeing to the release of the notes on the IEEE Big Data
2019 tutorial digital media.

Tutorial submissions will be reviewed by the tutorial chairs, which will
consider the following factors:

1. Appropriateness for the IEEE Big Data 2019 audience
2. Timeliness of the topic and interest to the audience;
3. Quality of the proposal.
4. CVand teaching/speaking experience of the presenters.

*Submission*

Please submit your proposal through this URL:
https://wi-lab.com/cyberchair/2019/bigdata19/scripts/submit.php?subarea=ProT

*Honoraria: *2-hour tutorial: US$500 (total).

*Important Dates *
August 10, 2019: Tutorial proposal submission deadline.

August 20, 2019: Notification to tutorial proposers. Tutorial submissions
may be conditionally accepted, pending certain modifications recommended by
the tutorial chairs. Note that you will also be required to supply copies
of your slides several weeks before the conference (date TBD).

*Tutorial Co-Chairs:*

● Prof. Xia (Ben) Hu : Texas A
Univ, USA

● Prof. Chen Li : UC Irvine, USA

● Prof. Jeffrey Saltz
: Syracuse
University, USA

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[UAI] CFP: The 4th Int. Workshop MECN-2019 in Shenyang, Liaoning, China, 21-23 October 2019

2019-07-11 Thread Haozhe Wang

[Please accept our apologies if you receive multiple copies of this email] 

The 4th International Workshop on Multi-access Edge Computing and Networking 
(MECN-2019) http://hpcn.ex.ac.uk/mecn2019/

MECN-2019 is to be held in conjunction with the 18th IEEE International 
Conference on Ubiquitous Computing and Communications (IUCC-2019), 21-23 
October 2019, Shenyang, China.


Overview 

The goal of the 4th International Workshop on Multi-access Edge Computing and 
Networking (MECN-2019) is to bring the research community and industry 
practitioners together and foster a cross-disciplinary scientific forum. In 
addition to building a premier publication venue that features high-quality 
research, MECN-2019 provides unique opportunities for researchers from academia 
and industry to interact, share new results, and discuss emerging directions 
focused regarding the field of multi-access computing and networking. 

Important Dates
===
Paper Submission Deadline:  15 July 2019
Authors Notification:   30 August 2019
Camera-Ready Paper Due: 12 September 2019 
Early Registration Due: 12 September 2019 
Conference Date:21-23 October 2019


Topics of interests include, but not limited to

Novel architecture of MEC in 5G
Large-scale mobile edge computing
Data-centric MEC
MEC for the Future Internet
AI at the edge
Machine learning and big data analytics
Green edge computing
Information-Centric Networking (ICN)
Fog computing
Quality-of-Experience (QoE) of MEC applications
Heterogeneous networks
Service-centric communications
MEC for Internet-of-Things
MEC for Virtual Reality and Augmented Reality
Emerging MEC applications and services
Software-Defined Networking (SDN)
Edge resource management
Network modelling
Hybrid cloud computing
Security and privacy in MEC
System prototypes, practical deployments and experimentation


Paper Submission Guideline 
=== 
The workshop seeks for novel, previously unpublished papers. More submission 
details can be found at http://hpcn.ex.ac.uk/mecn2019/. 

All accepted papers are expected to be included in IEEE Xplore and will be 
indexed by Engineering Index (EI).

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[UAI] 2 Ph.D. positions in Machine Learning @Lund/Stanford

2019-07-11 Thread Luigi Nardi

We seek two Ph.D. students in Machine Learning at Lund University (Sweden).

*Position type*: Ph.D. scholarship
*Research area*: Machine Learning
*Start*: September 2019 or later
*Duration*: 4 years
*Where*: Lund University - CS department
*Application closing date*: July 29, 2019
*Supervisor*: Professor Luigi Nardi (luigi.na...@cs.lth.se)
*Position description*: https://lu.varbi.com/en/what:job/jobID:280143/

These projects, financed by WASP  (Wallenberg AI,
Autonomous System and Software Programme), aim at introducing innovative
algorithms and methodologies to overcome the limitations of multi-objective
black-box optimization. They are part of a collaboration with Stanford
University. The students will be encouraged to apply to the WASP exchange
program with Stanford to work closely with collaborators.

*Apply here .*

Topics of interest:

   - Black-box optimization
   - Derivative-free optimization (DFO)
   - Bayesian optimization
   - Algorithm configuration and selection
   - Active learning
   - Automated machine learning (AutoML)
   - Neural architecture search (NAS)
   - Hyperparameter optimization
   - Learning to learn
   - Meta learning and transfer learning
   - Reinforcement learning (RL)
   - Optimization of neural networks
   - Evolutionary algorithms (EA)
   - Discrete optimization and NP-hard problem solving
   - Data-driven analysis of algorithms, hyperparameter importance, etc.

Some applications of interest:
Image classification, Natural Language Processing (NLP), Simultaneous
localization and mapping (SLAM), Design space exploration (DSE), Optimizing
compilers, Hardware design: CPU, GPU, FPGA, CGRA, ASIC.


-- 
Luigi Nardi, Ph.D.
CS and EE Departments
Stanford University
353 Serra Mall, Stanford, CA 94305, USA
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[UAI] CP 2019 - Call for Abstracts

2019-07-11 Thread Michele Lombardi

(apologies for cross-posting)

Call for Abstracts


The 25th edition of the International Conference on
Principles and Practice of Constraint Programming  (CP’2019)
welcomes extended abstracts presenting recent results or
work in progress that fit the conference themes (including
all thematic tracks: Computational Sustainability, CP and
Life Sciences, CP Data Science and Machine Learning,
Multi-agent and Parallel CP, Testing and Verification).

Abstracts will not be formally reviewed but may be rejected
if their contents, tone or format is considered unsuitable
for the conference. Therefore, submissions do not need to be
anonymous. The abstracts will not appear in the final LNCS
proceedings but will be made downloadable from the
conference website and distributed in an abstract leaflet to
all the participants.

Abstracts that address topics of wide interest and that have
been submitted before August 31 will be allocated room in
the CP 2019 program (depending on available time and space
resources).

Deadline for submitting abstracts


September 6 (midnight, AoE)

Submissions Instructions


Paper submission is done via EasyChair (CP2019), in the
“Abstracts” track:

https://easychair.org/my/conference?conf=cp2019

Length and format


The submissions should be submitted in the form of a PDF
file formatted along the lines of the AAAI formatting
instructions available at

http://www.aaai.org/Publications/Author/author.php.

Abstracts can use a maximum of 2 pages and can cover
material which has already been submitted or published in
other journals or conferences.

Other Information


Questions about the paper submission process may be
addressed to the Program Chairs Simon de Givry and Thomas
Schiex.

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[UAI] Postdoc/Research Associate in Question Answering Systems/Network Analytics

2019-07-11 Thread Morteza Zihayat Kermani

*Postdoc/Research Associate in Question Answering Systems/Network Analytics*

*Ryerson University, Toronto, Canada*

We are seeking a Postdoctoral Fellow or Research Associate to work on
Question answering systems / Network Analytics and/or Natural Language
Processing. The ideal candidate will have excellent research capabilities
as well as competitive development skills.



The candidate should have expertise in data mining, machine learning,
network analytics or NLP. A PhD in Computer Science or related fields is
required. Expertise with Python, NoSQL technology, Java, Javascript will be
an asset.



Salary and benefits are competitive and commensurate with expertise. The
position is for one year with the possibility of extension.



Further inquiries may be directed to Dr. Ebrahim Bagheri (bagh...@ryerson.ca)
or Dr. Morteza Zihayat (mziha...@ryerson.ca).

Interested candidates should submit an application letter, a résumé, three
publications relevant to the post-doctoral project and contact information
of three reference persons to Dr. Ebrahim Bagheri (bagh...@ryerson.ca) or
Dr. Morteza Zihayat (mziha...@ryerson.ca). Candidates will be screened
until the position is filled.



Ryerson University is a public research university located in downtown
Toronto, Ontario, Canada. Its urban campus surrounds the Yonge-Dundas
Square, located at the busiest intersection in downtown Toronto. The
university is composed of 36,000+ undergraduate students, 2,000+ graduate
students, and 70,000 yearly certificate and continuing education
registrations. Ryerson has been one of the fastest growing research
institutions in Canada.

Ryerson University values diversity and is committed to equal opportunity
in employment.
-- 
Morteza Zihayat, Ph.D.
Assistant Professor
Ted Rogers School of Information Technology Management,
Ryerson University,  Phone: (416) 979-5000 x3765
Toronto, Ontario Website: http://www.ryerson.ca/~mzihayat/
Canada M5G 2C5   Email: mziha...@ryerson.ca
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[UAI] final Call-for-Participation: MediaEval 2019 Predicting Video Memorability Task

2019-07-11 Thread Bogdan Ionescu

[Apologies for cross-postings]


***
final CALL FOR PARTICIPATION
Predicting Video Memorability Task
2019 MediaEval Benchmarking Initiative for Multimedia Evaluation
http://www.multimediaeval.org/mediaeval2019/memorability/
***
Register here: 
https://docs.google.com/forms/d/e/1FAIpQLSfxS4LPBhLQUTXSPT5vogtiSy7BuAKrPs6u6pZXcSV1Xs7XEQ/viewform
***

The Predicting Video Memorability Task focuses on the problem of
predicting how memorable a video will be. It requires participants to
automatically predict memorability scores for videos, which reflect
the probability of a video being remembered.

Participants will be provided with an extensive dataset of videos with
memorability annotations, and pre-extracted state-of-the-art visual
features. The ground truth has been collected through recognition
tests, and, for this reason, reflects objective measures of memory
performance. In contrast to previous work on image memorability
prediction, where memorability was measured a few minutes after
memorization, the dataset comes with ‘short-term’ and ‘long-term’
memorability annotations. Because memories continue to evolve in
long-term memory, in particular during the first day following
memorization, we expect long-term memorability annotations to be more
representative of long-term memory performance, which is used
preferably in numerous applications.

Participants will be required to train computational models capable of
inferring video memorability from visual content. Optionally,
descriptive titles attached to the videos may be used. Models will be
evaluated through standard evaluation metrics used in ranking tasks.


***
Target communities
***
Researchers will find this task interesting if they work in the areas
of human perception and the impact of multimedia on perception such as
image and video interestingness, memorability, attractiveness,
aesthetics prediction, event detection, multimedia affect and
perceptual analysis, multimedia content analysis, machine learning
(though not limited to).


***
Data
***
Data is composed of 10,000 short (soundless) videos extracted from raw
footage used by professionals when creating content. Each video
consists of a coherent unit in terms of meaning and is associated with
two scores of memorability that refer to its probability to be
remembered after two different durations of memory retention.
Memorability has been measured using recognition tests, i.e., through
an objective measure, a few minutes after the memorization of the
videos, and then 24 to 72 hours later. The videos are shared under
Creative Commons licenses that allow their redistribution. They come
with a set of pre-extracted features, such as: Dense SIFT, HoG
descriptors, LBP, GIST, Color Histogram, MFCC, Fc7 layer from AlexNet,
C3D features, etc.


**
Workshop
**
Participants to the task are invited to present their results during
the annual MediaEval Workshop, which will be held by the end of
October 2019, in Nice, France, co-located with ACM Multimedia 2019.
Working notes proceedings are to appear with CEUR Workshop Proceedings
(ceur-ws.org).


**
Important dates (tentative)
**
(open) Participant registration: March-July
(released) Development data release: 1 May
(released) Test data release: 3 June
Runs due: 20 September
Working notes papers due: 11 October
MediaEval Workshop, Nice, France: 27-29 October
(co-located with ACM Multimedia 2019)


***
Task coordination
***
Mihai Gabriel Constantin, University Politehnica of Bucharest, Romania
Bogdan Ionescu, University Politehnica of Bucharest, Romania
Claire-Hélène Demarty, Technicolor, France
Quang-Khanh-Ngoc Duong, Technicolor, France
Xavier Alameda-Pineda, INRIA, France
Mats Sjöberg, CSC, Finland


On behalf of the Organizers,

Prof. Bogdan IONESCU
ETTI - University Politehnica of Bucharest
http://campus.pub.ro/lab7/bionescu/

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[UAI] Post-doctoral position on Applied Reinforcement Learning

2019-07-11 Thread Steven Latré

Dear colleagues,

The IDLab research group of the University of Antwerp, Belgium and the IMEC 
research centre currently has an open position for a post-doctoral researcher 
on Applied Reinforcement Learning. More information can be found at 
https://jobs.idlab.uantwerpen.be/o/postdoctoral-researcher-on-applied-reinforcement-learning

Next to this position, there are also other positions available which focus 
more on project and innovation management in the same domain. More information 
at https://jobs.idlab.uantwerpen.be

Feel free to contact me for more information.

Kind regards,
Steven
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[UAI] IEEE ICDM 2019: Second Call for Tutorials

2019-07-11 Thread ICDM 2019

ICDM 2019: The 19th IEEE International Conference on Data Mining

==

November 8 - 11, 2019

Beijing, China

http://icdm2019.bigke.org/


*Call for Tutorials*

The 19th IEEE International Conference on Data Mining (IEEE ICDM 2019) will
host tutorials that focus on new research directions and initiatives.

We invite proposals for tutorials from active researchers and experienced
tutors. Ideally, a tutorial will cover the state-of-the-art research,
development and applications in a specific data mining direction, and
stimulate and facilitate future work. Tutorials on interdisciplinary
directions, novel and fast growing directions, and significant applications
are highly encouraged. We also encourage hands-on-tutorials that allow
attendees to learn a particular suite of tools, software and applications
that are relevant to the data mining community. Software and tools should
preferably be open-sourced and readily available to all participants.

We note that a tutorial should not only focus on the presenters’ previous
work. In principle, the tutorial authors’ previous work should not occupy
more than 50% of the tutorial coverage.

The tutorials are part of the main conference technical program, and are
free of charge to the registrants of the conference.

The conference will provide the following support for each tutorial:

· an honorarium of $500, and

· a complimentary registration for one of the tutorial presenters
who is not also a presenting author.

Tutorial presenters will be responsible for covering all their other
expenses.



*Format of the Submission*

A tutorial proposal should be formatted in the following sections:

· Title

· Abstract (up to 150 words)

· Rationale: Why do you believe this is an interesting and
significant subject for the machine learning and data mining community at
large? Is this tutorial or a similar one presented by the same or some
authors in some other venues?

· Content details: An outline of the tutorial in the form of a
bulleted list with references and estimates for the time that will be
devoted to each subject (up to 1 page).

· Target audience and prerequisites (up to 100 words): From which
areas do you expect potential participants to come? What prior knowledge,
if any, do you expect from the audience? What will the participants learn?
How many participants do you expect?

· Relevance and rationale of presenting the tutorial at ICDM 2019
(up to 200 words).

· A list of forums and their time, location, and the number of
attendees (if available) if the tutorial or a similar/highly related
tutorial has been presented by the same author(s) before, and a short
description highlighting the similarity/difference between those and the
one proposed for ICDM 2019 (up to 100 words for each entry).

· A list of tutorials on the similar/highly related topics given by
others, and a short description highlighting the differences between yours
and theirs (up to 100 words for each entry).

· Tutor’s short bio and their expertise related to the tutorial (up
to 100 words per tutor).

· Proposed length of the tutorial: please choose from: 2.5 hours
(half-day) and 5 hours (full day). If you are flexible, please indicate in
the outline the content that will not be included if a short tutorial is
given.

· A list of up to 20 most important references that will be covered
in the tutorial.

· (Optional) URLs of the slides/notes/video of the previous
tutorials given by the authors, and any specific audio/video/computer
requirements for the tutorial.



*Important Dates*

Tutorial proposals due: July 15, 2019

Notification: August 8, 2019

All deadlines are at 11:59PM Pacific Standard Time.



*Proposal Submission*

Please email your proposals to icdm2019tutori...@gmail.com with subject
line ICDM2019_



*Tutorial Co-Chairs*

· Wei Ding, University of Massachusetts Boston, USA

· Zhihua Zhou, Nanjing University, China

>
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[UAI] 23rd Pan-Hellenic Conference on Informatics (PCI 2019): Third Call for Papers

2019-07-11 Thread George Angelos Papadopoulos

*** THIRD CALL FOR PAPERS ***

23rd Pan-Hellenic Conference on Informatics (PCI 2019)

University of Nicosia, Nicosia, Cyprus, November 28-30, 2019

http://unic.ac.cy/pci2019

*** Submission Deadline: September 10, 2019 ***
*** Proceedings to be published by ACM ICPS (pending approval) ***


The University of Nicosia, the University of Cyprus, the Open University
Cyprus and the Greek Computer Society organize the 23rd Pan-Hellenic
Conference on Informatics (PCI 2019) in Nicosia, Cyprus on November
28-30, 2019.

PCI 2019 aims to provide an effective channel of communication among
researchers, practitioners, decision-makers and entities concerned with the
latest research, scientific development and practice on ICT to discuss current,
state-of-the-art topics that are of relevance and significance for national
competitiveness as well as for sustainable, robust and equitable regional
development. Submissions to PCI 2019 might cover, but are not limited, to
the following topics:

• Algorithms & Data Structures
• Artificial Intelligence
• Bioinformatics
• Bio & Nature Inspired Computing
• Blockchain Technologies
• Cloud Computing
• Communication & Information Systems Security and Privacy 
• Computational Science 
• Computer & Communication Networks
• CRM & ERP Systems
• Databases
• Data Mining
• Digital Libraries
• Digital Systems
• Distributed Computing
• eCommerce, eBusiness, eHealth
• Telecommunication Systems
• Wireless & Mobile Computing
• Learning Technologies
• Graphics, Visualization, Multimedia & Virtual Reality
• Grid, Cluster & P2P Computing
• Hardware & Architecture
• Embedded Systems
• Human-Computer Interaction
• Image and Video Processing
• Information Retrieval
• Information Society: Legal and Regulatory Issues
• Information Systems
• Information Theory
• Knowledge Based Systems
• Numerical & Scientific Computation
• Open Source Software
• Operating Systems
• Parallel & Distributed Systems
• Programming Languages
• Signal Processing
• Software Engineering

PCI 2019 encourages the submission of high quality papers with original
content in the following tracks: 

• Research Paper: full paper (8 pages) describing original and unpublished
results of conceptual, empirical, experimental, or theoretical work in all areas
of Computer Science.

• Research Project Results: extended abstract (2 pages) presenting the results
of funded completed or ongoing research projects at national or European
level.

• Industry: extended abstract (2 pages) presenting novel industrial solutions,
success stories, and challenges that are encountered in an industry setting
when adopting IT technologies.

Templates for submissions can be found at the ACM SIG proceedings website: 
https://www.acm.org/publications/proceedings-template .

Papers should be submitted via EasyChair using the following link:
https://easychair.org/my/conference?conf=pci2019 .
The submitted research papers and extended abstracts will be peer-reviewed
on the basis of technical quality, relevance to scope of PCI, originality,
significance, and clarity. Note that submitted papers should have neither
been published nor submitted for publication elsewhere.

The working language of the conference is English and the papers should be
written in that language.

As in previous years, the final version of the research papers accepted for
presentation at PCI 2019 will be published by ACM in the ICPS Series (pending
approval) and will be included in the ACM Digital library. The accepted
extended abstracts will be allocated either a demo or poster slot during the
conference. At least one author of each accepted paper or abstract is
expected to register, attend the conference and present their contribution.


Important Dates

• Paper submission deadline: September 10, 2019
• Notification of paper acceptance/rejection: October 17, 2019
• Submission of camera ready papers:   October 24, 2019
• Author registration:October 24, 2019


Organization

General Chairs

• Yannis Manolopoulos, Open University Cyprus, Cyprus
• George Angelos Papadopoulos, University of Cyprus, Cyprus
• Athena Stassopoulou, University of Nicosia, Cyprus

Program Chairs

• Ioanna Dionysiou, University of Nicosia, Cyprus
• Ioannis Kyriakides, University of Nicosia, Cyprus
• Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus

Local Advisory Committee

• Demetris Trihinas (chair, University of Nicosia)
• Achilleas Achilleos (Frederick University Cyprus)
• Panayiotis Andreou (University of Central Lancashire-Cyprus)
• Christodoulos Efstathiades (European University Cyprus)
• Angelika Kokkinaki (University of Nicosia)
• Ioannis Krikidis (University of Cyprus)
• Jahna Otterbacher (Open University Cyprus)
• Vicky Papadopoulou (European University Cyprus)
• Nearchos Paspallis (University of Central Lancashire-Cyprus)
• Michalis Sirivianos (Cyprus University of Technology)
• Stavros Stavrou (Open University Cyprus)
• Demetris

[UAI] Call for Papers - IEEE BigData 2019

2019-07-11 Thread Amr Magdy

Call for Papers

2019 IEEE International Conference on Big Data  (IEEE BigData 2019)
http://bigdataieee.org/BigData2019/
December 10-13, 2019,  Los Angeles, CA, USA

In recent years, “Big Data” has become a new ubiquitous term. Big Data is
transforming science, engineering, medicine, healthcare, finance, business,
and ultimately our society itself. The IEEE Big Data conference series
started in 2013 has established itself as the top tier research conference
in Big Data.
* The first conference IEEE Big Data 2013 had more than 400 registered
participants from 40 countries ( http://bigdataieee.org/BigData2013/) and
the regular paper acceptance  rate is 17.0%.
* The IEEE Big Data 2017 ( http://bigdataieee.org/BigData2017/ ,  regular
paper acceptance rate: 17.8%) was held in Boston, MA, Dec 11-14, 2017 with
close to 1000 registered participants from 50 countries.
* The IEEE Big Data 2018 ( http://bigdataieee.org/BigData2018/ ,  regular
paper acceptance rate: 19.7%) was held in Seattle, WA, Dec 10-13, 2018 with
close to 1100 registered participants from 47 countries.


The 2019 IEEE International Conference on Big Data (IEEE BigData 2019) will
continue the success of the previous IEEE Big Data conferences. It will
provide a leading forum for disseminating the latest results in Big Data
Research, Development, and Applications.

We solicit high-quality original research papers (and significant
work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs
(Volume, Velocity, Variety, Value and Veracity), including the Big Data
challenges in scientific and engineering, social, sensor/IoT/IoE, and
multimedia (audio, video, image, etc.) big data systems and applications.
The conference adopts single-blind review policy. We expect to have a very
high quality and exciting technical program at Seattle this year. Example
topics of interest includes but is not limited to the following:

1. Big Data Science and Foundations
a. Novel Theoretical Models for Big Data
b. New Computational Models for Big Data
c. Data and Information Quality for Big Data
d. New Data Standards

2. Big Data Infrastructure
a. Cloud/Grid/Stream Computing for Big Data
b. High Performance/Parallel Computing  Platforms for Big Data
c. Autonomic Computing and Cyber-infrastructure, System Architectures,
Design and Deployment
d. Energy-efficient Computing for Big Data
e. Programming Models and Environments for Cluster, Cloud, and Grid
Computing to Support Big Data
f. Software Techniques and Architectures in Cloud/Grid/Stream Computing
g. Big Data Open Platforms
h. New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
i. Software Systems to Support Big Data Computing

3. Big Data Management
a. Search and Mining of variety of data including scientific and
engineering, social, sensor/IoT/IoE, and multimedia data
b. Algorithms and Systems for Big DataSearch
c. Distributed, and Peer-to-peer Search
d. Big Data Search  Architectures, Scalability and Efficiency
e. Data Acquisition, Integration, Cleaning,  and Best Practices
f. Visualization Analytics for Big Data
g. Computational Modeling and Data Integration
h. Large-scale Recommendation Systems and Social Media Systems
i. Cloud/Grid/Stream Data Mining- Big Velocity Data
j. Link and Graph Mining
k. Semantic-based Data Mining and Data Pre-processing
l. Mobility and Big Data
m. Multimedia and Multi-structured Data- Big Variety Data


4. Big Data Search and Mining
a. Social Web Search and Mining
b. Web Search
c. Algorithms and Systems for Big Data Search
d. Distributed, and Peer-to-peer Search
e. Big Data Search  Architectures, Scalability and Efficiency
f. Data Acquisition, Integration, Cleaning,  and Best Practices
g. Visualization Analytics for Big Data
h. Computational Modeling and Data Integration
i. Large-scale Recommendation Systems and Social Media Systems
j. Cloud/Grid/StreamData Mining- Big Velocity Data
k. Link and Graph Mining
l. Semantic-based Data Mining and Data Pre-processing
m. Mobility and Big Data
n. Multimedia and Multi-structured Data- Big Variety Data

5. Ethics, Privacy and Trust in Big Data Systems
a. Techniques and models for fairness and diversity
b. Experimental studies of fairness, diversity, accountability, and
transparency
c. Techniques and models for transparency and interpretability
d. Trade-offs between transparency and privacy
e. Intrusion Detection for Gigabit Networks
f. Anomaly and APT Detection in Very Large Scale Systems
g. High Performance Cryptography
h. Visualizing Large Scale Security Data
i. Threat Detection using Big Data Analytics
j. Privacy Preserving Big Data Collection/Analytics
k. HCI Challenges for Big Data Security & Privacy
l. Trust management in IoT and other Big Data Systems


6. Hardware/OS Acceleration for Big Data
a. FPGA/CGRA/GPU accelerators for Big Data applications
b. Operating system support and runtimes for hardware accelerators
c. Programming models and platforms for accelerators
d. Domain-specific and heterogeneous architectures

[UAI] ACM Multimedia 2019: Workshop deadline extensions (15 July)