DDP 2024

May 14th, 2024 Daniela Lopez de Luise

Fourth International Conference on Digital Data Processing (DDP 2024)
Yeshiva University. New York. US
September 30-October 01, 2024
(www.socio.org.uk/ddp)
(IEEE approval pending)

As technology advances in different sub-domains of computing, data-driven models are becoming increasingly important. The data-dependent world now faces many challenges in terms of data accuracy and data privacy. High-impact advancements include machine learning, artificial intelligence, deep learning and many more. Data is growing exponentially in terms of diversity and complexity. One organization or industry processes over a few million transactions per hour and stores hundreds of billions of data. We live in a world with a great need for more efficient data analysis and processing. Data analytics can reveal hidden patterns, complex relationships, internal information relations, and even segmentation. Data applications have opened up new possibilities in every aspect of our lives. Studying data and its structure, dynamics, and modern data technologies is ongoing. There is a great deal of literature and research on data management, but it does not address the data processing needs. Many studies focus on developing models and systems for analyzing large datasets.

Data analysis leads to application domains that have a systematic impact on decisions. The knowledge gained from the data analysis enables the generation of critical information for multiple domains. In this conference, we review and discuss the latest trends in data management, the opportunities and challenges, and how they have affected organizations' ability to develop effective business and technology strategies and stay up-to-date in data technology. We also highlight current open research directions in data analytics that need further attention.

The proposed conference will discuss topics not limited to

Data applications in various domains and activities
Data in cloud
Real-world data processing
Data inaccuracy and reliability issues
Data Ecosystem
Business Analytics
New data analytics techniques
Physical and management challenges
Synthetic data
Data synthesis
Crowdsourcing and Sensing
Data modelling
Deep learning techniques
Data fusion
Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics
Machine learning impact on data processing
Network optimization
Data in Biomedical Engineering
Data in Materials science and mechanics
Data handling and applications in domains
Wireless Networking Data Management
Data of Electronic & Embedded Systems
Multi-media Systems Data
Artificial Intelligence Models and Systems Data
E-Computing Data
Renewable Energies Data

General Chair

Honggang Wang, Yeshiva University, USA

Program Chairs

Youshan Zhang, Yeshiva University, USA
Ezendu Ariwa, Warwick University, UK
Simon Fong, University of Macau, Macau

Program Co-chairs

Martin Loperz, University of Vigo, Spain

Keynote Speakers

1. Xiaofan (Fred) Jiang, Columbia University
2. Edwin Chihchuan Kan, Cornell University

Publications

Modified versions of the papers will appear in the following journals.

Journal of Digital Information Management
International Journal of Computational Linguistics
International Journal of Distributed Systems and Technologies

Important Dates

Submission of Workshop Proposals: April 10, 2024
Submission of Papers: June 15, 2024
Notification of Acceptance/Rejection: July 20, 2024
Camera-ready: September 01, 2024
Registration: September 01, 2024
Conference Dates: September 30- October 01, 2024

Paper submission

Papers should follow the IEEE template. Submissions at http://socio.org.uk/ddp/paper-submission/

Contact: stm@socio.org.uk

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Call for Papers – ACM GoodIT 2024

May 14th, 2024 Daniela Lopez de Luise
;word-spacing:0px”>4-6 September 2024, Bremen, Germany

https://blogs.uni-bremen.de/goodit2024/

 

The ACM 4th International Conference on Information Technology for Social Good (GoodIT 2024)  is a premier international forum for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of data and technology for addressing Social Good and the UN Sustainable Development Goals. We welcome contributions that delve into the nexus of technology, data science, and social well-being, exploring how these domains interconnect and impact society.

 

Alongside the main track, the conference includes the Work-in-Progress and PhD Track. The Work-in-Progress Track is an excellent opportunity for practitioners and researchers to present early-stage work, offering a platform for sharing innovative ideas, receiving feedback, and fostering discussions and collaborations. The PhD Track is designed for PhD students at different stages of their research. It provides a valuable opportunity for these students to present and refine their research under the guidance of experienced researchers. 

Additionally, the program will be enriched with several Special Tracks. The forthcoming Call for Papers will outline these tracks' details and specific topics.

 

We welcome submissions on a wide range of topics, including but not limited to:

 

  • IT and Data Science for Social Good:
    • Social Impact of Machine Learning Applications
    • Data and algorithmic biases and potential societal risks 
    • Large language models (LLMs) and GenAI models impact on society
    • Fairness, Accountability, and Transparency in Machine Learning
    • Citizen Science
    • IT for smart living,  Health and social care

 

  • Technology for Social Good:
    • AI and Machine Learning for Social and Humanitarian response
    • IoT Solutions for Sustainable Development
    • Decentralized approaches to IT
    • Digital Solutions for Cultural Heritage
    • Game, entertainment, and multimedia applications
    • IT for education

  • Environmental Sustainability and Technology:
    • Green Computing and Energy-Efficient Technologies
    • Climate Change Modeling and Environmental Science
    • Smart Cities and Sustainable Urban Development
    • Sustainable Networking and Communication Systems
    • Technology addressing the digital divide

 

  • Ethics, Policy, and Governance in Tech for Social Good:
    • Regulatory and Policy Frameworks for Ethical Tech
    • Governance of AI and Autonomous Systems in Social Contexts
    • Digital Rights and Freedom in the Age of Technology
    • Data Privacy and Security in Social Applications

 

Submission Guidelines:

Submitted papers must be original works and must not have been previously published. 

All papers must clearly outline the research question, methodology, results, and implications for social good.

The papers should follow the new ACM format (https://authors.acm.org/proceedings/production-information/taps-production-workflow). 

  • Main Track and Special Tracks Full Paper Submission should be a maximum of 12 pages; 
  • Work-in-Progress papers should be a maximum of 8 pages;  
  • Ph.D. track papers should be a maximum of 5

The indicated paper length includes references, tables, and figures. Documents with a length disproportionate to their contribution will be rejected. 

 

These submissions will undergo a single-blind peer review process involving three evaluations each.  Accepted papers will be included in the ACM Digital Library.  

Each accepted paper must have at least one of its authors register for and physically present the work at the conference. Please consider that this is a condition to ensure the paper is included in the conference proceedings.

For additional details, please check the  “Submission of Papers”  (https://blogs.uni-bremen.de/goodit2024/submission-of-papers/) web page.

 

Important Dates:

  • Full Paper Submission Deadline: May 17th, 2024
  • Notification of Paper Acceptance: July 8th, 2024
  • Camera-Ready Submission: July 19th, 2024 
  • Conference Dates: 4-6 September 2024, Bremen, Germany

 

Submission Portal:

Please submit your papers through our online submission portal available at https://goodit2024.hotcrp.com/

 

Contact Us:

For any inquiries regarding the call for papers, please contact pmanzoni@disca.upv.es” target=”_blank”>pmanzoni@disca.upv.es

We look forward to your contributions and to seeing you at the ACM GOODIT 2024 Conference!

ACM GOODIT 2024 Conference Committee

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IEEE sponsored and Hybrid Conference, VALENCIA, SPAIN

May 14th, 2024 Daniela Lopez de Luise

The International Conference on Multimedia Computing, Networking and Applications (MCNA2024)

17–20 SEPTEMBER, 2024 – VALENCIA, SPAIN

CO-SPONSORED BY IEEE

CONFERENCE WILL BE CONDUCTED IN HYBRID MODE

https://mcna-conference.org/2024/

 

Full Paper Important Dates

  • Full Paper Submission: June 10, 2024
  • Full Paper Acceptance Notification: July 15, 2024
  • Camera Ready Submission: August 10, 2024

About the Conference:

The multimedia landscape reflects a dynamic and ever-expanding ecosystem. Video content continued to dominate the digital realm, constituting more than 80% of global internet traffic, with YouTube standing out as a platform where users collectively upload a staggering 500 hours of video every minute. Social media platforms, including Instagram and Snapchat, showcased the power of visual communication, with users sharing over 100 million photos and 3 billion snaps daily. While specific numbers regarding virtual and augmented reality were not available, the increasing interest and investment in these technologies indicated a rising trend towards immersive multimedia experiences. Streaming services like Netflix played a pivotal role in shaping internet traffic patterns, contributing significantly to the multimedia data surge. The mobile landscape witnessed a substantial increase in data consumption, driven by users' growing penchant for multimedia content on smartphones. The total global storage for multimedia data reached the zettabyte scale, fuelled largely by the proliferation of cloud storage services. Digital photography, with billions of daily uploads, continued to be a cornerstone of online expression. User-generated content platforms and podcasts experienced exponential growth, fostering a vibrant ecosystem of multimedia content creation. As a collective force, multimedia traffic, encompassing activities like video streaming and online gaming, emerged as a key driver shaping the landscape of global internet usage. The International Conference on Multimedia Computing, Networking and Applications (MCNA) is a premier forum for researchers, practitioners, and educators to present and discuss the latest advancements, challenges, and future directions in the field of multimedia computing, networking, and applications. MCNA aims to bring together experts from academia and industry to foster collaboration, share insights, and promote innovative research in multimedia technologies.

Call for Papers:

We invite submissions of high-quality research papers addressing original and unpublished work on various aspects of multimedia computing, networking, and applications. Topics of interest include but are not limited to:

Track 01: Multimedia Systems and Architectures

Track 02: Image and Video Processing

Track 03: Virtual and Augmented Reality

Track 04: Multimedia Communication and Networking

Track 05: Multimedia Security and Privacy

Track 06: Machine Learning for Multimedia

Track 07: Human-Computer Interaction

Track 08: Multimedia Applications in Healthcare, Education, and Entertainment

Track 09: Multimedia Big Data Analytics

Track 10: Multimedia Content Analysis and Retrieval

 

Submissions Options:

Authors can submit their work in different formats as follows:

 

Full Paper

Papers are 6 to 8 pages and should be registered by at least one none-student author.

 

Workshop Paper

Papers are 6 to 8 pages submitted to one of the workshops (all papers will be included in the same proceedings) and should be registered by at least one non-student author.

 

Student Paper

MCNA offers a distinctive platform for students at all academic levels involved in diverse multimedia disciplines to showcase their continuous technical work and innovative ideas. This occasion fosters meaningful interactions, enabling participants to receive valuable feedback and suggestions from esteemed researchers in the field. Moreover, the symposium aims to cultivate a global community of supportive multimedia students, fostering social and intellectual engagement among students, researchers, and professionals from academia, industry, and government.

Students at any academic level are encouraged to submit a concise paper (up to 4 pages) summarizing their technical work, which may include ongoing research or a technical project. Submissions will undergo thorough review by a program committee, and accepted papers will be presented by the students during oral or poster sessions (to be determined upon acceptance). The paper should be authored solely by the student(s) and their supervisor. Student registration (a reduced registration) will suffice to cover this submission track if a student author is the attending individual.

 

Submission Site:

https://easychair.org/conferences/?conf=mcna2024

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Charla-Taller “El sujeto del estudiante en la actualidad – Taller con recursos para docentes y no docentes universitarios”

May 14th, 2024 Daniela Lopez de Luise

El Área de Orientación Educativa de la Secretaría de Asuntos Estudiantiles de la FRCU tiene el agrado de invitar a Ud. a la Charla-Taller “El sujeto del estudiante en la actualidad – Taller con recursos para docentes y no docentes universitarios”.

La misma se llevará adelante el día miércoles 15 de mayo a las 18:00 hs, repitiéndose el día martes 21 de mayo a las 10:00 hs, en el Aula 30 de nuestra Facultad con una duración aproximada de 1 (UNA) hora reloj.

TEMARIO:
– Aproximación a la población actual de estudiantes con características ligadas a elevada ansiedad por distintos factores. 
– Caracterización de factores que afectan al sujeto del sistema universitario.
– Herramientas para recibir la población actual de estudiantes.

Link de Inscripción:
ACTIVIDAD GRATUITA CON CERTIFICADO DE PARTICIPACIÓN.

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Special Track: Generalization in Visual Machine Learning

May 14th, 2024 Daniela Lopez de Luise

Special Track: Generalization in Visual Machine Learning

19th International Symposium on Visual Computing

Lake Tahoe, NV, USA

October 21-23, 2024

http://www.isvc.net

 

Scope: Generalization is particularly important in machine learning for visual computing due to the complex and diverse nature of visual data. In visual computing, machine learning models are often trained on large datasets of images or videos with the goal of performing tasks such as object recognition, segmentation, classification, or detection. Achieving good generalization is crucial for the practical utility of these models as they need to perform accurately on new, unseen images or videos. Good generalization is especially important in real-world applications where visual data can vary widely in appearance, context, and lighting conditions.

 Another reason why generalization is important in machine learning for visual computing is the potential for bias and overfitting. Visual datasets are often biased towards specific classes, contexts, or viewpoints, which can lead to poor generalization when models are applied to new data outside of these biases. Additionally, machine learning models trained on visual data can easily overfit to noise or irrelevant features in the training data, leading to poor performance on new data.

To address these challenges, researchers in machine learning for visual computing have developed a range of techniques to improve generalization. These include regularization techniques to prevent overfitting, transfer learning and domain adaptation techniques to leverage pre-trained models or adapt to new domains, data augmentation techniques to increase the diversity of the training data, and uncertainty estimation techniques to quantify model confidence and detect potential errors.

 We invite research contributions to this special issue on Generalization in Visual Machine Learning. We welcome original research articles, reviews, and survey papers on the above topics. All submissions will be rigorously peer-reviewed and selected based on their relevance, technical quality, and originality.

 

Topics: Topics of interest include but are not limited to:

  • Regularization techniques for improving generalization in visual computing
  • Novel hierarchical architecture for domain generalization
  • Transfer learning and domain adaptation for visual computing
  • Data augmentation and synthesis techniques for improving generalization in visual computing
  • Uncertainty estimation in visual computing
  • Generalization in aerial surveillance under complex and contested environments
  • Generalization in object detection
  • Robustness and adversarial attacks in visual computing
  • Explainability and interpretability of visual computing models
  • Novel approaches for improving generalization in visual computing
  • Generalization in visual object tracking
  • Generalization in biometric recognition techniques
  • Generalization on medical image segmentation
  • Zero-shot learning for visual computing
  • Disentangled representations for improving generalization in visual computing
  • Graph based approaches (Graph Signal Processing, Graph Neural Networks) in visual computing

Organizers:

Mohamed S. Shehata, University of British Columbia, BC, Canada

Minglun Gong, University of Guelph, Ontario, Canada

Thierry Bouwmans, La Rochelle Université, La Rochelle, France.

Ahmed R. Hussein, University of Guelph, Ontario, Canada

Paola Barra, Università degli studi di Napoli « Parthenope », Italy

Deepak Kumar Jain, Dalian University of Technology, China,

Soon Ki Jung,  Kyungpook National University,  South Korea

 

Important Dates:

Same as ISVC deadlines. Please visit: http://www.isvc.net/

 

Paper Submission Instructions

Same as ISVC paper submission instructions, see http://www.isvc.net/index.php/paper-submission/

….

Dr. Deepak Kumar Jain(SMIEEE)

Associate Professor

Dalian University of Technology

Dalian, China

Email: dkj@dlut.edu.cn

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