AISSA 2026: The IEEE co-sponsored International Conference on Artificial Intelligence Centric Systems, Services, and Applications, 8 – 10 December, 2026 | San Antonio, USA.

The International Conference on Artificial Intelligence Centric Systems, Services, and Applications (AISSA 2026)

 

https://emergingtechnet.org/AISSA2026/index.php

8 – 10 December, 2026 | San Antonio, USA.

Hybrid Event and Technically Co-Sponsored by IEEE Lone Star Section

AISSA 2026 CFP:

Artificial Intelligence (AI) systems are computational frameworks designed to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. These systems integrate algorithms, data, and computing power to enable machines to adapt and improve their performance over time. AI systems encompass a wide range of technologies, including machine learning, natural language processing, computer vision, and autonomous robotics, and they are increasingly applied in domains such as healthcare, finance, cybersecurity, transportation, and smart cities. As they continue to evolve, AI systems are not only transforming industries and enhancing human capabilities but also raising important considerations around ethics, transparency, and trustworthiness. The International Conference on Artificial Intelligence Centric Systems, Services, and Applications (AISSA 2026) aims to bring together leading researchers, academics, and practitioners from around the world to share their latest findings, innovations, and applications in Artificial Intelligence and intelligent systems. AISSA 2026 provides a premier interdisciplinary platform for presenting advances and exchanging insights on the theoretical foundations, cutting-edge technologies, and real-world implementations of AI. AISSA 2026 will feature keynote talks, technical paper sessions, workshops, and tutorials covering a wide range of AI topics. We invite submissions of high-quality research papers describing original and unpublished results in all areas of Artificial Intelligence Systems. 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 with special interest in but not limited to:  

·       Machine Learning and Data-Driven Systems

·       Natural Language and Multimodal AI Systems

·       Generative AI, Foundation Models, and Large Language Models

·       Computer Vision, Image and Video Processing

·       Artificial Intelligence Systems Applications

·       Artificial Intelligence Systems Security

·       Computational Language and Human-Centered Systems

·       Prompt Engineering and Fine-tuning

·       Multimodal LLMs Systems

·       Agentic AI Systems

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). Length of short papers can be up to 6 pages. Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the conference Proceeding, and to be submitted to IEEE Xplore for inclusion.

Important Dates:

  • Paper submission deadline: 10 September 2026
  • Notification of acceptance: 1 November 2026
  • Camera-ready Submission: 15 November 2026

 

Contact:

 

Please send any inquiry on AISSA to: emergingtechnetwork@gmail.com

Springer iwAIIS2026 – Artificial Intelligence and Intelligent Systems, Scopus Singapore

CALL FOR PAPERS

Springer iwAIIS 2026

FIRST INTERNATIONAL WORKSHOP ON ARTIFICIAL INTELLIGENCE AND INTELLIGENT SYSTEMS

in conjunction with the
8th International Conference on Soft Computing and its Engineering Applications (icSoftComp2026)
https://icsoftcomp.org/

Marina Bay Sands Hotel, Singapore
8-9 December 2026 | Hybrid Event

Paper submission link: https://meteor.springer.com/IWAIIS_2026

Workshop Webpage:https://iwaiis.org/

Dear Professor,
Greetings! I'm pleased to inform you that the First iwAIIS 2026 will be held on December 8-9, 2026, at Marina Bay Sands Hotel, Singapore.
Could you please consider contributing to and/or forwarding this opportunity to the appropriate groups to submit and publish an original research paper to the First iwAIIS 2026?

For details on the CFP, please visit: https://iwaiis.org/cfp.php

Workshop Highlights:
– Springer CCIS Proceedings (Open-access Scopus-indexed)
– Double-Blind Peer Review
– Hybrid event (Onsite + Online)
– Selected papers invited for Scopus-indexed journal special issues

Submission Deadline (AoE): 15 September 2026

Proceedings: Accepted and presented papers will be published in Springer's Communications in Computer and Information Science (CCIS) series.

Indexing: Scopus, Ei Compendex, DBLP, Google Scholar, and SpringerLink.

Journal Publication: Authors of selected papers will be invited to submit extended versions for a post-conference special issue of peer-reviewed journals.

Distinguished Keynote Speakers:
We are excited to welcome a stellar lineup of invited speakers:
– Lipo Wang, Nanyang Technological University, Singapore
– Jochen Wirtz, National University of Singapore (NUS), Singapore
– Kay Romer, TU Graz, Graz University of Technology, Austria
– Stefan Pickl, University of the Bundeswehr Munich, Germany

We warmly invite you to submit your research work and join us in exploring emerging opportunities at the intersection of Artificial Intelligence, its multidisciplinary applications, and Intelligent Systems.

We look forward to receiving your contributions and seeing you at iwAIIS 2026 in Singapore!

SUBMIT YOUR PAPER

KK Patel, Ph.D.
Charotar University of Science and Technology, Changa, India
Email: kanupatel.mca@charusat.ac.in

14th International Conference on Control, Dynamic Systems, and Robotics (CDSR 2027)- Paris- June 2027

Call for papers: CDSR 2027, June 6–8, 2027, Paris, France. Submission deadline: September 15, 2026.
International ASET Inc.
info@cdsr.net
Phone: +1-613-733-7999
485 Industrial Ave., Unit 12, 2nd Floor, Ottawa, Ontario, Canada K1G 0Z1
© 2026 International ASET Inc. All rights reserved.

VISMAC International Summer School on Machine Vision 2026 in Siena – Registration Deadline August 31st

VISMAC 2026 – International Summer School on Machine Vision,  Siena, Italy,  September 21st to 25th, 2026
REGISTRATION DEADLINE: August 31st

Located just steps away from the University of Siena’s Engineering Department and the iconic Piazza del Campo, the school offers an intensive program designed for doctoral students, researchers, and industry professionals. VISMAC continues to serve as a premier venue for networking and professional growth within the computer vision community.

**Confirmed Keynote Speakers:**
The program features a distinguished lineup of international experts, including:
Dima Damen, University of Bristol

Gül Varol, École des Ponts ParisTech
Davide Scaramuzza, University of Zurich
Efstratios Gavves, University of Amsterdam
Iacopo Masi, University of Rome, La Sapienza
Lamberto Ballan, University of Padova
Vittorio Murino, University of Verona
Matteo Poggi, University of Bologna
Simone Calderara, University of Modena and Reggio Emilia
Luisa Verdoliva, University of Naples Federico II
Marina Paolanti, University of Macerata
Tomaso Fontanini, University of Parma
Massimiliano Mancini, University of Trento
Lorenzo Seidenari, University of Florence
**Registration and Information**
For full program details, accommodation information, and registration, please visit the official website: https://vismac2026.github.io/
Due to venue capacity, we anticipate a limited number of places. We encourage interested participants to register early to secure their attendance.
We kindly ask you to share this invitation with your students and colleagues who may benefit from this experience.
REGISTRATION ENDS SOON: August 31st

**Innovation and Industry Engagement**
This year, VISMAC is introducing a dedicated session for Startups and University Spinoffs with a focus on computer vision. This initiative aims to bridge the gap between academic research and industrial application. It provides an excellent platform for companies to connect with emerging talent, while offering students and PhD candidates insights into entrepreneurial career paths and research-driven business opportunities.
Further details regarding sponsorship and industry participation can be found here: https://vismac2026.github.io/sponsor.html

GeMAIHc 2027: early registration September 18

 
1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE
 
GeMAIHc 2027
 
Milan, Italy
 
February 1-5, 2027
 
 
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Co-organized by:
 
Human Technopole
 
IRDTA – Institute for Research Development, Training and Advice
 
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Early registration: September 18, 2026
 
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SCOPE
 
AI is rapidly redefining biomedical research, clinical decision-making, and healthcare delivery worldwide. GeMAIHc 2027 will provide participants with a comprehensive overview of state-of-the-art AI methodologies. Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare.
 
GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives. 
 
This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 3 scientific sessions, 1 symposium, and a hackathon.
 
Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible.
 
ADDRESSED TO
 
The program is open to PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health. There are no formal academic prerequisites for participation. Researchers and professionals at all career stages are welcome.
 
An international audience is expected, with backgrounds spanning computer science, medicine, engineering, mathematics, statistics, physics, and the social sciences.
 
GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of a rapidly evolving field, to interact with experts across disciplines, to establish collaborations and expand professional networks, and to explore how AI is reshaping the future of healthcare.
 
VENUE
 
GeMAIHc 2027 will take place in Milan, one of Europe’s leading international centers for science, industry, fashion, and finance.
 
The venue will be:
 
Human Technopole

 
 
STRUCTURE
 
Three parallel courses will run throughout the event. Participants will be free to choose the sessions they wish to attend and may move between courses at any time.
 
A symposium will offer participants and companies the opportunity to present ongoing research or industrial developments through 10-minute oral presentations.
 
The school will include a hackathon, during which participants will work in teams to tackle challenges in generative and multimodal AI for healthcare.
 
All lectures will be video recorded and made available to participants for 45 days after the event.
 
Full live online participation will be possible. Nevertheless, the organizers emphasize the importance of in-person interaction and networking in research training events of this kind.
 
KEYNOTE SPEAKERS
 
Deborah Estrin (Cornell University), Transforming Longitudinal Care with Digital Biomarkers and Therapeutics
 
Lyle Palmer (Adelaide University), Deep Learning in Medicine: Some Lessons from Epidemiology and Genomics
 
PROFESSORS AND COURSES
 
Pierre Baldi (University of California Irvine), [introductory/advanced] The AI-driven Healthcare of the Future
 
David Buckeridge (McGill University), [intermediate] Multi-Modal Data Analysis in Population and Public Health
 
Alejandro Frangi (University of Manchester), [intermediate/advanced] Virtual Patient Populations for In Silico Trials Using Generative AI Based on Multimodal Real-World Data
 
Charles Friedman (University of Michigan), [introductory] Synergizing AI and Learning Health Systems to Transform Health
 
Judy Wawira Gichoya (Emory University), [introductory/advanced] Combination in a Hands on Lab for Harmonizing Radiology Datasets
 
Maryellen Giger (University of Chicago), [introductory/intermediate] Role of Data & Algorithms in Trustworthy Medical Imaging AI
 
Casey Greene (University of Colorado), [introductory/advanced] Translating Generative AI into Healthcare from Pharmacogenomics to Foundation Models
 
Tina Hernandez-Boussard (Stanford University), [intermediate/advanced] The AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Implementation
 
Jianying Hu (IBM Thomas J. Watson Research Center), [intermediate/advanced] Advanced Computing for Biomedical Research and Discovery
 
Jayashree Kalpathy-Cramer (University of Colorado), [introductory] Toward Digital Twins: Multimodal AI for Imaging and Precision Medicine
 
Alex John London (Carnegie Mellon University), [intermediate/advanced] Ethical and Scientific Challenges to Unlocking the Clinical Value of Artificial Intelligence
 
Asoke Nandi (Brunel University of London), [introductory/advanced] Selected Case Studies of Medical Image Segmentation
 
Tom Pollard (Massachusetts Institute of Technology), [introductory/intermediate] Data: The Foundation, Constraint, and Failure Mode of Deployable Health AI
 
Hoifung Poon (Recursion), [advanced] Toward Virtual Patient: AI for Accelerating Medical Discovery
 
Jian Tang (Mila-Québec AI Institute), [introductory/advanced] Generative AI for Protein Design
 
Peter van Ooijen (University of Groningen), [intermediate] Multimodal AI for Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainability
 
Karin Verspoor (Royal Melbourne Institute of Technology), [introductory/intermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research and Discovery
 
Jelmer M. Wolterink (University of Twente), [intermediate/advanced] Data Representations in Health Digital Twinning: From Features to Foundation Models
 
HT RESEARCH PERSPECTIVES
 
Human Technopole will organize 3 scientific sessions:
 
Probabilistic Models for (Medical) Image Analysis, by Jan Funke, Florian Jug, Federico Carrara, and Benjamin Salmon
 
AI Models for Computational Biology, by Andrea Sottoriva, Michele Calabrò, and Manuel Dileo
 
AI in Health Data Science, by Francesca Ieva, Andrea Ganna, Michela Carlotta Massi, Nicole Fontana, and Alessia Mapelli
 
SYMPOSIUM
 
A symposium will feature voluntary 10-minute oral presentations on ongoing research projects and industrial developments.
 
Participants interested in presenting should submit a one-page abstract including title, authors, and summary to david@irdta.eu by January 8, 2027.
 
HACKATHON
 
Hands-on team activities will be organized around challenges in generative and multimodal AI for healthcare. The challenges will be released two weeks before the beginning of the school. A jury will evaluate the submissions, and the winners will be announced at the end of February 2027. Winning teams will receive a modest monetary prize, while runners-up will receive certificates of recognition.
 
ORGANIZING COMMITTEE
 
Jan Funke (Milan)
Ilaria Guerini (Milan)
Francesca Ieva (Milan)
Carlos Martín-Vide (Tarragona, program chair)
Michela Carlotta Massi (Milan, local chair)
Santiago Montes (Tarragona, webpage)
Sara Morales (Luxembourg, finances)
David Silva (London, organization chair)
 
REGISTRATION
 
Registration is available at:
 
 
The selection of six courses requested during registration is tentative and non-binding. This information will help estimate demand for logistical planning purposes.
 
As venue capacity is limited, registrations will be processed on a first-come, first-served basis. Registration will close once capacity has been reached. Early registration is strongly recommended.
 
FEES
 
Registration fees include access to all school activities and lunches.
 
Several early registration deadlines are available, and fees vary depending on the registration period.
 
Fees are identical for on-site and online participation.
 
ACCOMMODATION
 
Accommodation suggestions will be provided in due time at:
 
 
CERTIFICATE
 
Participants will receive a certificate indicating 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS recognition from their home institutions.
 
SPONSORS
 
Companies, institutions, and organizations interested in sponsoring the event may download the sponsorship leaflet from:
 
 
QUESTIONS AND FURTHER INFORMATION
 
 
ACKNOWLEDGMENTS
 
Human Technopole
 
Universitat Rovira i Virgili
 
IRDTA – Institute for Research Development, Training and Advice

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