DSP 2027 – 60th Anniversary – June 23-25, London, UK, CFP

During June 23-25, 2027 we will celebrate the 60th anniversary of one of the most longstanding international conferences on Digital Signal Processing (DSP 2027) in London, United Kingdom – Please be well prepared for that.

DSP was established in 1967 by Professor Anthony G Constantinides, the Honorary Chair, as a biannual meeting, and has been a hub for gathering and meeting scholars with original and fundamental contributions to DSP theory, methods, and applications for approximately 60 years.

This is therefore my privilege and great pleasure to invite you to contribute to this prestigious event and actively participate in that.

Please find the first call for paper attached and help in disseminating it to all DSP researchers in your network.

Regards,

Saeid
Saeid Sanei, PhD, FBCS, FIEEE, Professor

The 4th International Conference on Foundation and Large Language Models, 17 – 20 November 2026 | Barcelona, Spain


The 4th International Conference on Foundation and Large Language Models 

(FLLM 2026)

 https://fllm-conference.org/2026/index.php

17 – 20 November 2026 | Barcelona, Spain

Hybrid Conference and Technically Co-Sponsored by IEEE Spain Section

FLLM 2026 CFP:

With the emergence of foundation models (FMs) and Large Language Models (LLMs) that are trained on large amounts of data at scale and adaptable to a wide range of downstream applications, Artificial intelligence is experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B, Codex, DALL-E, Whisper, and CLIP are now the foundation for new applications ranging from computer vision to protein sequence study and from speech recognition to coding. Earlier models had a reputation of starting from scratch with each new challenge. The capacity to experiment with, examine, and comprehend the capabilities and potentials of next-generation FMs is critical to undertaking this research and guiding its path. Nevertheless, these models are currently inaccessible as the resources required to train these models are highly concentrated in industry, and even the assets (data, code) required to replicate their training are frequently not released due to their demand in the real-time industry. At the moment, mostly large tech companies such as OpenAI, Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite the expected widely publicized use of FMs and LLMS, we still lack a comprehensive knowledge of how they operate, why they underperform, and what they are even capable of because of their emerging global qualities. To deal with these problems, we believe that much critical research on FMs and LLMS would necessitate extensive multidisciplinary collaboration, given their essentially social and technical structure.

The International Conference on Foundation and Large Language Models (FLLM) addresses the architectures, applications, challenges, approaches, and future directions. We invite the submission of original papers on all topics  with special interest in but not limited to:

  •     Architectures and Systems
    • Transformers and Attention
    • Bidirectional Encoding
    • Autoregressive Models
    • Massive GPU Systems
    • Prompt Engineering
    • Multimodal LLMs
    • Fine-tuning
  •     Challenges
    • Hallucination
    • Cost of Creation and Training
    • Energy and Sustainability Issues
    • Integration
    • Safety and Trustworthiness
    • Interpretability
    • Fairness
    • Social Impact
  •     Future Directions
    • Generative AI
    • Explainability and EXplainable AI
    • Retrieval Augmented Generation (RAG)
    • Federated Learning for FLLM
    • Large Language Models Fine-Tuning on Graphs
    • Data Augmentation
  •     Natural Language Processing Applications
    • Generation
    • Summarization
    • Rewrite
    • Search
    • Question Answering
    • Language Comprehension and Complex Reasoning
    • Clustering and Classification
  •     Applications
    • Natural Language Processing
    • Communication Systems
    • Security and Privacy
    • Image Processing and Computer Vision
    • Life Sciences
    • Financial Systems

Call for Special Tracks Papers:

  • Short papers: (4-6 pages).
  • Poster papers: (1-2 Pages)
  • Position Paper: (2-4 pages)
  • PhD Symposium: (Up to 6 Pages)
  • Demos : (Up to 2 Pages)
  • Systemization of Knowledge (SoK) or Focused Surveys: (10-15 pages)

All accepted papers will be published in the conference proceedings and submitted to IEEE Xplore for publication.

Journal Special Issue:

Selected high quality papers will be invited for  special issue submission at the Information Processing & Management (impact factor : 8.1)

https://www.sciencedirect.com/journal/information-processing-and-management

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). Extra pages (up to 2 pages) can be purchased for a fee. 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 FLLM 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. Authors of accepted papers are expected to present their work at the conference. 

Important Dates:

  • Paper submission deadline: August 21, 2026 (Extended)
  • Notification of acceptance:   October 1  , 2026
  • Camera-ready Submission: October 15, 2026

 

Contact:

Please send any inquiry on FLLM to: info@fllm-conference.org

CFP – AIDA 2026 – International Conference on Artificial Intelligence and Data Analytics – Deadline 15 September

We are pleased to invite submissions to AIDA 2026 – 1st International Conference on Artificial Intelligence and Data Analytics, taking place in Seville, Spain, on 11–13 November 2026, with hybrid participation available.

AIDA 2026 welcomes original research contributions addressing advances and applications in Artificial Intelligence and Data Analytics, including:

  • Machine Learning and Deep Learning
  • Neural Networks
  • Computer Vision and Pattern Recognition
  • Generative AI and Large Language Models
  • Natural Language Processing
  • Data Science and Advanced Analytics
  • Explainable and Responsible AI
  • Intelligent Systems and Robotics
  • AI-enabled Digital Transformation
  • AI applications across industry and services

Submission deadline: 15 September 2026
Conference dates: 11–13 November 2026
Venue: Barceló Sevilla Renacimiento, Seville, Spain
Format: Hybrid – on-site and online participation

Further information and submission details:

https://aida.scika.org

We would appreciate it if you could circulate this Call for Papers among colleagues and researchers who may be interested.

Best regards,

Manuela Cruz-Cunha
Polytechnic University of Cávado and Ave, Portugal
AIDA 2026


Call for Special Issue – Application of Deep Learning in Medical Image Classification and Segmentation for Precise Disease Diagnosis

The journal Bioengineering (ISSN 2306-5354, IF 3.7) is currently running a

Special Issue entitled “Application of Deep Learning in Medical Image
Classification and Segmentation for Precise Disease Diagnosis”. 
For more information on this Special Issue, please visit the Special Issue
website at:
https://www.mdpi.com/journal/bioengineering/special_issues/1H5H96F9TN

The submission deadline is 31 December 2026. You may send your manuscript now
or up until the deadline, as papers will be published on an ongoing basis if
accepted for publication following peer review. Submitted manuscripts should
not be under consideration for publication elsewhere. We also encourage
authors to send a short abstract or tentative title to the Editorial Office
in advance (bioengineering@mdpi.com).

Bioengineering is an open access journal publishing peer reviewed papers
under a Creative Commons Attribution License (CC BY 4.0). This allows all
published papers to be freely and permanently available online. Open access
increases the visibility and discoverability of your research, and is
supported by authors, institutions and funding organizations from around the
world.

An article processing charge (APC) of 2700 CHF currently applies to all
papers accepted after peer review. You may be entitled to a discount code if
you previously reviewed for MDPI or if your institution is a participating
member in MDPI’s Institutional Open Access Program (IOAP).

For further details on the submission process, please see the instructions
for authors on the journal website
(https://www.mdpi.com/journal/bioengineering/instructions).

We also invite you to post an early version of your manuscript on our free
preprint platform, Preprints, allowing you to receive feedback from your
peers and make your early results citable. For more information or to submit
your preprint, visit https://www.preprints.org/how_it_works.

We look forward to hearing from you.

Kind regards,

Nadia Brancati

Identity Security in the Age of Deepfakes – August 27, 2026 at 8:00 AM EDT (2:00 pm CEST, 8:00 PM CST)

Upcoming IAPR TC4/ IEEE Biometrics Council Webinar

Title: Identity Security in the Age of Deepfakes
Speaker: Prof. Dr. Siwei Lyu, University at Buffalo, USA
When: August 27, 2026 at 8:00 AM US Eastern Time (2:00 pm CEST, 8:00 PM Beijing Time)
Where: Online (Zoom)
Registration (free but required): https://us06web.zoom.us/webinar/register/WN_O4u0j2pRRbqueYItyIooJA

Abstract:

Rapid advances in generative AI have made it increasingly easy to synthesize or manipulate faces, voices, and real-time audiovisual streams, creating new challenges for biometric identity systems. This talk examines how deepfakes can affect different stages of the biometric pipeline, including synthetic identity creation, impersonation, morphing, and real-time digital injection. It will clarify the complementary roles of biometric matching, presentation attack detection and liveness, and media forensics, and review the forensic evidence that current deepfake detectors exploit.

The talk will also discuss why deepfake detection remains difficult in real-world settings and argue for moving beyond a single “real or fake” detector toward layered, evidence-based and risk-aware biometric authentication. The webinar should be relevant to researchers, practitioners, students, and security professionals working in biometrics, identity verification, media forensics, AI security, fraud prevention, and trustworthy AI.

About The Speaker: 

Siwei Lyu is a SUNY Distinguished Professor at the University at Buffalo, State University of New York, where he directs the Institute for AI and Data Science and the UB Media Forensics Lab. His research focuses on digital media forensics, deepfake and AI-generated media detection, and trustworthy AI. He leads the development of DeepFake-o-Meter, an open platform integrating state-of-the-art deepfake detection methods for research and real-world analysis. He is a Fellow of IEEE and IAPR.

_____________________________________________
Marija Ivanovska, PhD
Assistant | Laboratory for Machine Intelligence
Faculty of Electrical Engineering, University of Ljubljana

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