CFP – IEEE SmartCity2023 (Smart City), Dec. 2023

August 24th, 2023 Daniela Lopez de Luise
The 21st IEEE International Conference on Smart City (SmartCity 2023), 13-15 Dec. 2023, Melbourne, Australia.

Website: http://www.swinflow.org/confs/2023/smartcity/

Key dates:
Submission Deadline: 
September 15, 2023 (HST, Firm)   
Notification: October 15, 2023
Final Manuscript Due: October 30, 2023  

Submission site: http://www.swinflow.org/confs/2023/smartcity/submission.htm

Publication:
Proceedings will be published by IEEE CS Press. Distinguished papers will be invited to  special issues of selected journals listed on the conference website.  

===========
Introduction

Smart cities (also smarter cities) use digital technologies to enhance performance and wellbeing, to reduce costs and resource consumption, and to engage more effectively and actively with its citizens. Developing a smart city to better support growing urban population is a global and complex challenge and involves interdisciplinary fields. Key ‘smart’ sectors include transportation, smart building, energy, health care, and water systems. IEEE SmartCity is aiming to be a premier international conference in smart city. This conference is to bring together computer scientists, industrial engineers and researchers to discuss and exchange experimental or theoretical results, novel designs, work-in-progress, experience, case studies, and trend-setting ideas in the area of smart city.

Scope and Topics
Topics of particular interest include, but are not limited to:
– Smart Buildings
– Smart Transportation
– Smart Environment and Economy
– Energy-Efficient Smart Grid Systems
– Smart Grid System Management
– Citizen Engagement and Smart Governance
– Smart Home and Community
– E-health Systems
– Environment and Urban Monitoring
– Green Network and Energy Efficiency
– Smart Electronic Systems for Security
– Big Data for Urban Informatics
– QoS and QoE of Smart City Systems, Applications and Services
– Smart Sensor Technology and Measurement Systems
– Smart University and Smart Education
– Application Scenarios and Real-world Deployments for Smart Cities
– Smart City Governance
– Internet of Things for Smart Cities
– Cloud Computing and Network Infrastructure for Smart Cities
– Social Computing and Networks for Smart Cities
– Embedded Computing and Networks for Smart Cities  

Submission Guidelines
Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2023/smartcity/submission.htm .

Publications
Proceedings will be published by IEEE CS Press. Distinguished papers will be invited to  special issues of selected journals listed on the conference website.    

General Chairs
Qun Jin, Waseda University, Japan  
Rajiv Ranjan, Newcastle University, UK  
  
Program Chairs
Wookey Lee, Inha University, Korea
Xiaokang Zhou, Shiga University, Japan

Read More »

CFP – IEEE HPCC2023 (High Performance Computing and Communications), Dec. 2023

August 24th, 2023 Daniela Lopez de Luise
The 25th IEEE International Conference on High Performance Computing and Communications (HPCC 2023), 13-15 Dec. 2023, Melbourne, Australia.

Website: http://www.swinflow.org/confs/2023/hpcc/

Key dates:
Submission Deadline: September 15, 2023 (HST, Firm)  
Notification: October 15, 2023
Final Manuscript Due: October 30, 2023

Submission site: 
http://www.swinflow.org/confs/2023/hpcc/submission.htm  

Publication:
Proceedings will be published by IEEE CS Press. Distinguished papers will be invited to  special issues of selected journals listed on the conference website.

===========
Introduction

With the rapid growth in computing and communications technology, the past decade has witnessed a proliferation of powerful parallel and distributed systems and an ever increasing demand for practice of high performance computing and communications (HPCC). HPCC has moved into the mainstream of computing and has become a key technology in determining future research and development activities in many academic and industrial branches,  especially when the solution of large and complex problems must cope with very tight timing schedules.

Among a series of highly successful International Conferences on High Performance Computing and Communications (HPCC), HPCC conference comes to its 25th edition of a forum for engineers and scientists in academia, industry, and government to address the resulting profound challenges and to present and discuss their new ideas, research results, applications and experience on all aspects of high performance computing and communications. IEEE HPCC is sponsored by IEEE, IEEE Computer Society, and IEEE
Technical Committee on Scalable Computing (TCSC).

Scope and Topics
Topics of particular interest include, but are not limited to:

Track 1: High Performance Computing and Applications

– High Performance Computing Theory
– High Performance Computing Architectures
– System Software and Middleware
– System Software Support for Scientific Workflows
– Storage and I/O Systems
– Resource Management
– Instruction-Level and Thread-Level Parallelism
– Performance Modeling and Evaluation
– Massively Multicore Systems
– Future Novel Computing Platforms
– Database Applications and Data Mining
– High Performance Computing for Bioinformatics
– High Performance Computing for Big Data
– High Performance Computing for AI
– High Performance Computing for Block Chains
– Green High Performance Computing

Track 2: Parallel and Distributed Computing and Systems

– Parallel and Distributed System Architectures
– Parallel and Distributed Algorithms
– Data Center Architectures
– Resource Virtualization
– Web Services and Internet Computing
– Cloud, Edge, and Cluster Computing
– Sustainable and Energy Efficient Computing
– Federated Learning
– Embedded Systems
– Distributed Systems and Applications
– Pervasive/Ubiquitous Computing & Intelligence
– Distributed Graphics and VR/AR/MR Systems
– Distributed AI and Soft/Natural Computing
– Power-Efficient and Green Computing Systems
– Parallel and Distributed Computing for Big Data
– Parallel and Distributed Computing for AI

Track 3: Communications and Networking

– Network and Interconnect Architectures
– Computer Networks
– Internet Architectures and Protocols
– Telecommunications
– Trust, Security, and Privacy
– Energy-Aware Computing and Networking
– 5G Network
– Software Defined Networking
– Network Functions Virtualization
– Machine Learning and Deep Learning
– Social Networking and Computing
– Performance Evaluation and Measurement
                

Submission Guidelines
Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper. submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site:  http://www.swinflow.org/confs/2023/hpcc/submission.htm.

Publications
Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS and EI after the conference. Distinguished papers will be invited to  special issues of selected journals listed on the conference website.  

General Chairs
Xian-He Sun, Illinois Institute of Technology, USA
Beniamino Di Martino, Universita' della Campania “Luigi Vanvitelli”, Italy 

Laurence T. Yang, St. Francis Xavier University, Canada  

Program Chairs
Muneeb Hassan, Deakin University, Australia  
Carson Leung, University of Manitoba, Canada
Read More »

The Conference on Parsimony and Learning (CPAL 2024): Call for Papers & Participation

August 24th, 2023 Daniela Lopez de Luise
Website: https://cpal.cc/

Poster: https://cpal.cc/assets/CFP_CPAL_2024.pdf

### Overview

The Conference on Parsimony and Learning (CPAL) is an annual research conference focused on addressing the **parsimonious, low dimensional structures that** prevail in machine learning, signal processing, optimization, and beyond. We are interested in theories, algorithms, applications, hardware and systems, as well as scientific foundations for learning with parsimony.  We envision the conference as a general scientific forum where researchers in machine learning, applied mathematics, signal processing, optimization, intelligent systems, and all associated science and engineering fields can gather, share insights, and ultimately work towards a common modern theoretical and computational framework for understanding intelligence and science from the perspective of parsimonious learning.

See more about the new conference’s vision: https://cpal.cc/vision/

### Topics of Interest

Topics of interest include—but are not limited to—the following subject areas (Detailed: https://cpal.cc/subject_areas/):

* Theory & Foundation:   Theories for sparse coding, structured sparsity, subspace learning, low-dimensional manifolds, and general low-dimensional structures;  dictionary learning and representation learning for low-dimensional structures and their connections to deep learning theory; equivariance and invariance modeling; theoretical neuroscience and cognitive science foundation for parsimony, and biologically inspired computational mechanisms.
* Optimization & Algorithms:   Optimization, robustness, and generalization methods for learning compact and structured representations; interpretable and efficient deep architectures (e.g., based on unrolled optimization); data-efficient and computation-efficient training and inference; adaptive and robust learning and inference algorithms; Other nonlinear dimension-reduction and representation-learning methods.
* Data, Systems & Applications:   Domain-specific datasets, benchmarks, and evaluation metrics; parsimonious and structured representation learning from data; inverse problems that benefit from parsimonious priors; hardware and system co-design for parsimonious learning algorithms; parsimonious learning in intelligent systems that integrate perception-action cycles; applications in science, engineering, medicine, and social sciences.

The above is a high-level overview of CPAL's focus and is not intended to be exhaustive. If you are unsure whether your paper is a good fit for the conference, feel free to contact the program chairs via email (pcs@cpal.cc).

### Submission Tracks

We will have a main proceeding track (archival), and a “recent spotlight” track (non-archival). The OpenReview submission site can be found here: https://openreview.net/group?id=CPAL.cc/2024/Conference. Submissions to both tracks are to be prepared using the CPAL LaTeX style files (https://cpal.cc/assets/CPAL-2024-template.zip).

Proceeding track (**archival**): The submission and review stage is **double-blind**. We use OpenReview to host papers and allow for public discussions. Full proceedings papers can have up to nine pages with unlimited pages for references and appendix.

“Recent Spotlight” Track (**non-archival**): Submit a conference-style paper (at most nine pages, with extra pages for references) describing the work. Please also upload a short (250 word) abstract to OpenReview. OpenReview submissions may also include any of the following supplemental materials that describe the work in further detail:

* A poster (in PDF form) presenting results of work-in-progress.
* A link to an arXiv preprint or a blog post (e.g., distill.pub, Medium) describing results.
* Appendices with detailed derivations and additional experiments.

This track is non-archival and has no proceedings. We permit under-review or concurrent submissions, as well as papers officially accepted by a journal or conference within 6 months of the  Submission Deadline for Recent Spotlight Track (this year Oct 10, 2023). Reviewing will be performed in a **single-blind** fashion (authors should not anonymize their submissions).

**Notable Innovations in Our Review Mechanism**: An action PC will shepherd each paper. For every accepted paper, the names of its AC and action PC will be publicly released on its OpenReview page, for accountability. For every rejected paper (excluding withdrawals), only the name of its action PC will be displayed. Reviewers will be rated and dynamically selected.

Please see more details on our website (https://cpal.cc/review_guidelines/).

### Important Dates

All deadlines are 11:59PM UTC-12:00 Anywhere on Earth (https://www.timeanddate.com/time/zones/aoe)

* August 28th, 2023: Submission Deadline for Proceeding Track
* October 10th, 2023: Submission Deadline for Recent Spotlight Track
* October 14th, 2023: 2-Week Rebuttal Stage Starts (Proceeding Track)
* October 27th, 2023: Rebuttal Stage Ends, Authors-Reviewers Discussion Stage Starts  (Proceeding Track)
* November 5th, 2023: Authors-Reviewers Discussion Stage Ends  (Proceeding Track)
* November 20th, 2023: Final Decisions Released (Both Tracks)
* December 5th, 2023: Camera Ready Deadline (Both Tracks)
* January 3rd – 6th, 2024: Main Conference (In-Person, HKU Main Campus)

### Keynote Speakers

* Dan Alistarh, IST Austria/Neural Magic
* SueYeon Chung, NYU / Flatiron Institute
* Kostas Daniilidis, UPenn
* Maryam Fazel, University of Washington
* Tom Goldstein, University of Maryland
* Yingbin Liang, Ohio State University
* Robert D. Nowak, University of Wisconsin-Madison
* Dimitris Papailiopoulos, University of Wisconsin-Madison
* Jong Chul Ye, KAIST

### Organizers and Contact

For inquiries, please contact organizers: pcs@cpal.cc

Follow us:
Twitter: https://twitter.com/CPALconf
LinkedIn: https://www.linkedin.com/company/conference-on-parsimony-and-learning-cpal/
Slack: https://join.slack.com/t/cpal-conference/shared_invite/zt-1v5fvzv6a-nCA0cgIN24da3gbVDjlWbg

 list please contact: koroniioanna@csd.auth.gr List moderation is supervised by Prof. I.Pitas (pitas@csd.auth.gr).

Read More »

CFP – IEEE DSS 2023 (Data Science and Systems), Dec. 2023

August 24th, 2023 Daniela Lopez de Luise
       
The 9th IEEE International Conference on Data Science and Systems (DSS 2023), 13-15 Dec. 2023, Melbourne, Australia.
         
Website: http://www.swinflow.org/confs/2023/dss/
        
Key dates:
Submission Deadline: 
September 15, 2023 (HST, Firm)  
Notification: October 15, 2023
Final Manuscript Due: October 30, 2023  
         
Submission site: http://www.swinflow.org/confs/2023/dss/submission.htm
        
Publication:

Proceedings will be published by IEEE CS Press. Distinguished papers will be invited to  special issues of selected journals listed on the conference website.
       
===========
Introduction
     
As an interdisciplinary area, Data Science draws scientific inquiry from a broad range of subject areas such as statistics, mathematics, computer science, machine learning, optimization, signal processing, information retrieval, databases, cloud computing, computer vision, natural language processing and etc. Data Science is on the essence of deriving valuable insights from data. It is emerging to meet the challenges of processing very large datasets, i.e. Big Data, with the explosion of new data continuously generated from various channels such as smart devices, web, mobile and social media.
       
Data systems are posing many challenges in exploiting parallelism of current and upcoming computer architectures. Data volumes of applications in the fields of sciences and engineering, finance, media, online information resources, etc. are expected to double every two years over the next decade and further. With this continuing data explosion, it is necessary to store and process data efficiently by utilizing enormous computing power. The importance of data intensive systems has been raised and will continue to be the foremost fields of research. This raise brings up many research issues, in forms of capturing and accessing data effectively and fast, processing it while still achieving high performance and high throughput, and storing it efficiently for future use. Innovative programming models, high performance scalable computing platforms, efficient storage systems and expression of data requirements are at immediate need. DSS (Data Science and Systems) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Data Science and Data Systems as well as their synergy.

Scope and Topics

I. Data Science
– Foundational Theories of Data Science
– Data Classification and Taxonomy
– Data Metrics and Metrology
– Data Analytics
– Complex Network Analysis and Mining
– Security, Privacy and Trust in Data

II. Data Processing Technology
– Data Representation and Processing
– Machine Learning and Deep Learning
– Graph Neural Networks
– Semi-supervised and Unsupervised Learning
– Statistical, Mathematical and Probabilistic Modeling and Theories
– Information visualization
– Data Visualization

III. Data Systems
– Storage and File Systems
– High Performance Access Toolkits
– Compiler and Runtime Support
– Real-time Data Intensive Systems
– Multi/Many-Core Platforms
– Big Data and Cloud Computing

IV. Data Applications
– Business and Finance Applications
– Industrial Data Applications
– Bioinformatics Applications
– Healthcare and Medical Services
– Applications in Soil and Water
– HPC Systems for Data Applications
– Future Data Applications  
       
Submission Guidelines
Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one
of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site: http://www.swinflow.org/confs/2023/dss/submission.htm.

      
Publications
Proceedings will be published by IEEE CS Press. Distinguished papers will be invited to  special issues of selected journals listed on the conference website.  
       
General Chairs
Jamal Deen, McMaster University, Canada          
Stephen S. Yau, Arizona State University, USA

Program Chairs
Dong Yuan, The University of Sydney, Australia
Deepak Puthal, Khalifa University, UAE

Read More »

AI4Media: Theme Development Workshop “Trusted AI – The future of creating ethical and responsible AI systems”, Online, 13 Sept. 2023

August 24th, 2023 Daniela Lopez de Luise

We are delighted to announce the second cross-cutting Theme Development Workshop “Trusted AI – The future of creating ethical and responsible AI systems”, which will take place online on the 13th of September 2023. This is a joint workshop of the VISION CSA and the EU’s six AI Networks of Excellence AI4Media, ELISE, ELSA, euROBIN, HumanE-AI-Net and TAILOR as well as CLAIRE AISBL and ELLIS.

The workshop will be held online via Zoom with a mixed programme of presentations and in-depth discussions about specific sub-topics in smaller groups (breakout sessions). This gives the participants the opportunity to discuss with selected experts the importance and the use of Trusted AI and contribute to the strategic research and innovation agenda for AI in Europe.

All information about the workshop can be found at https://www.vision4ai.eu/tdw-trusted-ai/. The agenda is also attached. Please indicate your interest to join the workshop and specific breakout sessions via the Online Application Form. The deadline for applications is 28 August 2023, 18:00 CEST.
 
Please feel free to also forward this information to your contacts who might be interested to participate.
 
If you have any questions, do not hesitate to reach the organising committee via vision_ict48-dfki@dfki.de.

Thank you,

Kind regards, 

Filareti Tsalakanidou, on behalf of the AI4Media project


pdf icon Flyer-TDW_Trusted-AI_update.pdf
Read More »
« Older Entries
Newer Entries »
Design by 2b Consult