ICSC 2025 CFP: The Fifth Intelligent Cybersecurity Conference, Tampa, Florida, USA. May 19-22, 2025

January 28th, 2025 Daniela Lopez de Luise


The Fifth Intelligent Cybersecurity Conference (ICSC2025)

Hybrid Event

https://www.icsc-conference.org/2025/

Tampa, Florida, USA. May 19-22, 2025

Technically Co-Sponsored by IEEE Florida West Coast Section

ICSC 2025 CFP:

In today’s world, connected systems, social networks, and mobile communications create a massive flow of data, which is prone to cyberattacks. This needs fast and accurate detection of cyber-attacks. Intelligent systems and Data analytics are important components when issues pertaining to effective security solutions become the subject of discussion. This is because there is an impending need for high volume and high velocity data from different sources to detect anomalies as soon as they are discovered. This will help reduce significantly the vulnerability of the systems as well as improve their resilience to cyber Attacks. The capability to process large volumes of information at real time through utilization of tools for data analytics has many advantages vital for analysis of cybersecurity systems. Moreover, the data collected from sophisticated intelligent systems, cloud systems, networks, sensors, computers, intrusion detection systems could be used to identify vital information. This information could be used to detect how vulnerable the systems are to risk factors, and so effective cyber security solutions can be developed. In addition to that, the utilization of data analytics tools in the cybersecurity field gives new insights through considering factors such as zero-day attack detection, real time analysis, resource constrained data processing among others.

The Intelligent Cybersecurity Conference (ICSC) addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to:

  • Intelligent systems for effective detection of cyber-attacks
  • Advanced Intelligent systems and data analytics for Cloud/Edge systems security
  • Malware detection using intelligent systems Vulnerability assessment
  • Intelligent systems for intrusion detection in Internet of Things (IoT) systems
  • Network forensics using intelligent systems and data analytics
  • Data Analytics for privacy-by-design in smart health
  • Datasets, benchmarks, and open-source packages
  • Recourse efficient deep learning
  • Adversarial Machine learning and Backdoor Attacks
  • Blockchain Systems for Cyber Security
  • Trustworthy AI Systems
  • Intelligent Systems for Misinformation Detection

  Submissions Guidelines and Proceedings

Manuscripts should be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICSC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion.

Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be up to 6 pages.

Important Dates:

  • Paper submission deadline: Feb 15th 2025 (Extended)
  • Notification of acceptance: April 1st, 2025
  • Camera-ready Submission: April 21st, 2025

 

Contact:


Please send any inquiry on ICSC to Fahed Alkhabbas at: fahed.alkhabbas@mau.se

 

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HHAI2025 – Call for Papers, Workshop and Tutorial Proposals (June 9-13, 2025, Pisa, Italy)

January 28th, 2025 Daniela Lopez de Luise

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CALL FOR PAPERS

HHAI 2025 – Hybrid Human-Artificial Intelligence

https://hhai-conference.org/2025/

June 9–13, 2025, Pisa, Italy 

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Hybrid Human-Artificial Intelligence (HHAI) is an international conference series that focuses on the study of Artificial Intelligence systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. HHAI aims for AI systems that work together with humans, emphasizing the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems. HHAI systems leverage human strengths and compensate for human weaknesses, while taking into account social, ethical and legal considerations.

HHAI 2025 will be held on June 9–13, 2025, in Pisa, Italy, and is the fourth conference in the series. The HHAI field is driven by developments in AI, but it also requires fundamentally new approaches and solutions. Thus, we encourage collaborations across research domains such as AI, HCI, cognitive and social sciences, philosophy and ethics, complex systems, and others. In this fourth international conference, we invite scholars from these fields to submit their best original – new as well as in progress – works, and visionary ideas on Hybrid Human-Artificial Intelligence.

The conference will feature three outstanding keynote speakers:

– Prof. John Shawe-Taylor (University College London, UK)

– Dr. Jonathan Stray (Berkeley Center for Human-Compatible AI, University of California, US)

– Prof. Sandra Wachter (Oxford Internet Institute, University of Oxford, UK)

**Join the HHAI community and keep up with the news:**

Website: https://hhai-conference.org/2025/

Linkedin: https://www.linkedin.com/company/hhai-conference/

X: https://x.com/hhai_conference

Mastodon: https://sigmoid.social/@hhai

IMPORTANT DATES

Abstract submission: January 24th, 2025 (extended)

Paper submission: January 31th, 2025 (extended)

Acceptance notification: March 16th, 2025

Camera-ready version: April 13th, 2025 

Conference: June 9-13, 2025

LOCATION

HHAI 2025 will be an in-person, single-track conference organized in Pisa, Italy. Workshops and tutorials (9-10 June) will be held at the University of Pisa and Scuola Normale Superiore in Pisa, Italy. The main conference (11-13 June) will be held at CNR. 

TOPICS

We invite research on different challenges in Hybrid Human-Artificial Intelligence. The following list of topics is illustrative, not exhaustive:

– Human-AI interaction, interpretation and collaboration

– Adaptive human-AI co-learning and co-creation

– Learning, reasoning and planning with humans and machines in the loop

– User modeling and personalisation

– Integration of learning and reasoning

– Transparent, explainable, and accountable AI

– Fair, ethical, responsible, and trustworthy AI

– Societal awareness of AI

– Multimodal machine perception of real-world settings

– Social signal processing

– Representations learning for Communicative or Collaborative AI

– Symbolic representations for human-centric AI

– Human-AI Coevolution

– Foundation models and humans

– Human cognition-aware AI

– Decentralized human-AI systems

– Reliability and robustness in human-AI systems

– Applications of hybrid human-AI intelligence

We welcome contributions about all types of technology, from robots and conversational agents to multi-agent systems and machine learning models.

PAPER TYPES

In this conference, we wish to stimulate the exchange of novel ideas and interdisciplinary perspectives. To do this, we will accept three different types of papers:

– Full papers present original, impactful work (12 pages excluding references)

– Blue sky papers present visionary ideas to stimulate the research community (8 pages excluding references)

– Working papers present work in progress (8 pages excluding references)

Accepted full papers and Blue sky papers will be published in the Proceedings of the Fourth International Conference on Hybrid Human-Machine Intelligence, in the Frontiers of AI series by IOS Press. Working papers can be included in these proceedings, unless the authors request the paper to remain unpublished.

REVIEWING PROCESS & SUBMISSION GUIDELINES

Submissions of full, blue-sky, and working papers should be original work without substantial overlap with pre-published papers. All submissions should adhere to IOS formatting guidelines. Papers should be written in English and detailed submission instructions can also be found here.

**Important**

HHAI 2025 will follow a double-blind reviewing process. Thus, submissions must exclude all information that might disclose the authors’ names or affiliations. 

All studies involving human participants should have received human-research ethics consent from the relevant institutions and mention this in the paper. 

Work should be submitted in PDF format via Easychair (link to be announced soon).

On acceptance, at least one author should attend the conference. A significant contribution is expected from all authors. 

PROGRAM CHAIRS

Chiara Boldrini (IIT-CNR, IT)

Luca Pappalardo (ISTI-CNR, IT)

Andrea Passerini (University of Trento, IT)

Shenghui Wang (University of Twente, NL)

CONFERENCE CHAIRS

Michela Milano (University of Bologna, IT)

Dino Pedreschi (University of Pisa, IT)

Stuart Russell (University of California Berkeley, US)

Ilaria Tiddi (Vrije Universiteit Amsterdam, NL)

CONTACT INFORMATION

For questions, you can reach the program chairs at: program@hhai-conference.org

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HHAI2025 – Call for Workshop and Tutorial Proposals

Workshops and tutorials (Pisa, Italy): June 9-10, 2025

Main conference (Pisa, Italy): June 11-13, 2025

Workshop and tutorial proposals submission: January 31, 2025

Website: https://hhai-conference.org/2025/workshops-and-tutorials/

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ONE WEEK LEFT FOR SUBMISSIONS – January 31, 2025] Elsevier COMNET Special Issue on Generative and Explainable AI for Internet Traffic and Network Architectures

January 28th, 2025 Daniela Lopez de Luise



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                     CALL FOR PAPERS


         Special Issue on Generative and Explainable AI

         for Internet Traffic and Network Architectures


                 Elsevier Computer Networks


https://www.sciencedirect.com/journal/computer-networks/about/call-for-papers#generative-and-explainable-artificial-intelligence-for-internet-traffic-and-architectures


(EXTENDED Submission deadline: January 31, 2025)

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We are pleased to announce a call for papers for a special issue of
Elsevier Computer Networks journal, focusing on the transformative potential
of generative and explainable AI in Internet traffic analysis and network

architectures. As Internet-connected devices multiply and traffic data grows

exponentially, traditional methods are increasingly challenged. This special

issue aims to highlight how generative AI can synthesize realistic traffic data,

automate network configurations, and enhance security measures. Additionally,

explainable AI can provide deeper insights into network behaviors, improving

transparency, trust, and overall network performance.


We invite you to contribute to this pioneering special issue and lead the

advancement of AI-driven innovations in Internet traffic analysis and network

architectures.


Key Topics of Interest include but are not limited to the following:

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Special Session on “Proactive Social Perception for Human-Robot Collaboration: From Vision to Language” – IAS19

January 28th, 2025 Daniela Lopez de Luise
IAS-19 – The 19th International Conference on Intelligent Autonomous Systems

Genoa (Italy), June 30 – July 4, 2025.

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DeepLearn 2025: early registration February 21

January 28th, 2025 Daniela Lopez de Luise
12th INTERNATIONAL SCHOOL ON DEEP LEARNING
(with a special focus on Large Language Models, Foundation Models and Generative AI)

DeepLearn 2025

Porto – Maia, Portugal

July 21-25, 2025

https://deeplearn.irdta.eu/2025/

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Co-organized by:

University of Maia

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

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Early registration: February 21, 2025

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SCOPE:

DeepLearn 2025 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, Guimarães, Las Palmas de Gran Canaria, Luleå, Bournemouth, Bari, Las Palmas de Gran Canaria and Porto.

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, biomedicine and health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, etc. etc.

The field is also raising a number of relevant questions about robustness of the algorithms, explainability, transparency, interpretability, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion.

Most deep learning subareas will be displayed, and main challenges identified through 18 four-hour and a half courses, 2 keynote lectures, 1 round table and a hackathon competition among participants. Renowned academics and industry pioneers will lecture and share their views with the audience. 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.

DeepLearn 2025 will place special emphasis on large language models, foundation models and generative artificial intelligence.

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 2025 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 2025 will take place in Porto, the second largest city in Portugal, recognized by UNESCO in 1996 as a World Heritage Site. The venue will be:

University of Maia
Avenida Carlos de Oliveira Campos – Castêlo da Maia
4475-690 Maia
Porto, Portugal

https://www.umaia.pt/en

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.

All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their technical developments for 10 minutes.

The school will include a hackathon, where participants will be able to work in teams to tackle several machine learning challenges.

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:

Yonina Eldar (Weizmann institute of Science), Model Based Deep Learning: Applications to Imaging and Communications

Manuela Veloso (JPMorganChase), The Journey of Humans and AI: Insights from AI in Robotics and AI in Finance

PROFESSORS AND COURSES:

Pierre Baldi (University of California Irvine), [intermediate/advanced] From Deep Learning and Transformers to AI Risks and Safety

Sean Benson (Amsterdam University Medical Center), [intermediate] Digital Twins and Generative AI for Personalised Medicine

Xavier Bresson (National University of Singapore), [intermediate/advanced] Graph Transformers, Graph Generative Models and Large Language Models

Nello Cristianini (University of Bath), [introductory] Machina Sapiens – Towards More General Forms of AI

Mark Derdzinski (Dexcom), [introductory] From Prototype to Production: Evaluation Strategies for Agentic Applications

Samira Ebrahimi Kahou (University of Calgary), [intermediate/advanced] Explainability in Machine Learning

Elena Giusarma (Michigan Technological University), [introductory/intermediate] Machine Learning at the Frontier of Astrophysics: Simulating the Universe

Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering

Xia “Ben” Hu (Rice University), [introductory/advanced] Efficient LLM Serving: Algorithms and Systems

Lu Jiang (ByteDance & Carnegie Mellon University), [introductory/intermediate] Transformers for Image and Video Generation: Fundamentals, Design, and Innovations

Jayashree Kalpathy-Cramer (University of Colorado), [introductory/intermediate] Multimodal AI for Healthcare

Yingbin Liang (Ohio State University), [intermediate/advanced] Theory on Training Dynamics of Transformers

Chen Change Loy (Nanyang Technological University), [intermediate/advanced] Harnessing Prior for Content Enhancement and Creation

Fenglong Ma (Pennsylvania State University) & Cao (Danica) Xiao (GE HealthCare), [introductory/intermediate] Transforming Healthcare and Drug Development through Multimodal AI with LLMs and Generative AI Technologies

Evan Shelhamer (DeepMind), [intermediate] Test-Time Adaptation for Updating Models on New and Different Data

Atlas Wang (University of Texas Austin), [intermediate] Low Rank Strikes Back in the Era of Large Language Models

Xiang Wang (University of Science and Technology of China), [advanced] Large Language Models for User Behavior Modeling: Cross-Modal Interpretation, Preference Optimization, and Agentic Simulation

Rex Ying (Yale University), [intermediate/advanced] Multimodal Foundation Models for Graph-Structured Data: Framework and Scientific Applications

OPEN SESSION:

An open session will collect 5-minute voluntary oral presentations of work in progress by participants.

They should submit a half-page abstract containing the title, authors, and summary of the research to david@irdta.eu by July 13, 2025.

INDUSTRIAL SESSION:

A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry.

Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event.

Expressions of interest have to be submitted to david@irdta.eu by July 13, 2025.

HACKATHON:

A hackathon will take place, where participants can work in teams to tackle several machine learning challenges. They will be coordinated by Professor Sergei V. Gleyzer (University of Alabama). The challenges will be released 2 weeks before the beginning of the school. A jury will judge the submissions and the winners of each challenge will be announced by August 25, 2025. The winning teams will receive a modest monetary prize and the runners-up will get a certificate.

SPONSORS:

Companies/institutions/organizations willing to be sponsors of the event can download the sponsorship leaflet from

https://deeplearn.irdta.eu/2025/sponsors/

ORGANIZING COMMITTEE:

Sergei V. Gleyzer (Tuscaloosa, hackathon chair)
José Paulo Marques dos Santos (Maia, local chair)
Carlos Martín-Vide (Tarragona, program chair)
Sara Morales (Brussels)
José Luís Reis (Maia)
Luís Paulo Reis (Porto)
David Silva (London, organization chair)

REGISTRATION:

It has to be done at

https://deeplearn.irdta.eu/2025/registration/

The selection of 6 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.

FEES:

Fees comprise access to all program activities and lunches.

There are several early registration deadlines. Fees depend on the registration deadline.

The fees for on site and for online participation are the same.

ACCOMMODATION:

Accommodation suggestions will be available in due time at

https://deeplearn.irdta.eu/2025/accommodation/

CERTIFICATE:

A certificate of successful participation in the event will be delivered indicating the number of hours of academic activities. This should be sufficient for those participants who plan to request ECTS recognition from their home university.

QUESTIONS AND FURTHER INFORMATION:

david@irdta.eu

ACKNOWLEDGMENTS:

Universidade da Maia

Universidade do Porto

Universitat Rovira i Virgili

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

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