Bath Summer School in Machine Learning, 5–7 August 2026

June 9th, 2026 Daniela Lopez de Luise
We are pleased to announce the 1st Bath Summer School in Machine Learning, hosted by the Centre for Artificial Intelligence at the University of Bath.
The school offers three days of tutorial-style lectures spanning core and emerging topics in machine learning, designed to help graduate students rapidly build knowledge outside their direct research focus — in a friendly, inclusive environment.
Dates: 5–7 August 2026
Location: University of Bath

This year's themes:

  • ODEs & SDEs in Machine Learning
  • Probabilistic & Bayesian Methods
  • Self-Supervised Learning
  • World Models
A full programme can be found here.

Faculty

Simon Prince, University of Bath 
Neill Campbell, University College London 
Ivor Simpson, University of Sussex 
Oisin Mac Aodha, University of Edinburgh 
Deblina Bhattacharjee, University of Bath 
Gabriel Brostow | University College London (Invited Talk) 

Who can apply

The school is open to PhD students, postdocs, and research staff at any UK or EU university. A solid foundational knowledge of machine learning is assumed. Participants must be available for the full three-day programme.

Fees

The school has been deliberately priced to be as accessible as possible.

  • Registration only, £150 
  • Registration + 3 nights in University halls , £320 (limited places)

Tea and coffee are included throughout. Other meals at your own expense.  Additional accommodation options are available in Bath and nearby Bristol.

Register now

Full programme details and speaker information: https://www.bathmlsummerschool.org

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ACM ICMI 2026 Call for Late-Breaking Results (LBR)

June 9th, 2026 Daniela Lopez de Luise
ICMI 2026 CALL FOR LATE-BREAKING RESULTS (LBR)

===============================================
5-9 October 2026, Napoli – Italy
https://icmi.acm.org/2026/
===============================================

Dear colleagues,

Please find below the Call for Papers for the Late-Breaking Results (LBR) track of the 28th ACM International Conference on Multimodal Interaction (ICMI 2026).

Based on the success of the Late-Breaking Results (LBR) track, ICMI 2026 will continue soliciting submissions for this special venue. The goal of this venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues.

* Online Submission
https://new.precisionconference.com/submissions/icmi26a

* Highlights
– Submission deadline: June 21st, 2026
– Notifications: July 15th, 2026
– Camera-ready deadline: August 2nd, 2026
– Conference Dates: October 6–8, 2026
– Submission format: Anonymized short paper (four-page paper in a double-column format, not including references), following the submission guidelines
– Selection process: Peer-Reviewed
– Presentation format: Participation in the conference poster session
– Proceedings: Included in the Adjunct Proceedings (Companion Volume) and ACM Digital Library
– LBR Co-chairs: Daniel Riccio and Hung-Hsuan Huang

* What are Late-Breaking Results?
Late-Breaking Results (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting-edge or emerging work that is still in exploratory stages, smaller-scale studies, or, in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track.

* Why submit to the Late-Breaking Results track at ICMI?
Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting, thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field.
Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are significant revisions, as per the ACM and ACM SIGCHI policies. LBR papers will be published as ACM extended abstracts in the Adjunct Proceedings. Under ACM Open, extended abstract article types are not subject to Article Processing Charges (APCs).

* Submission Guidelines
Extended Abstract
An anonymized short paper, four-page paper in a double-column ACM conference format, using LaTeX or Word (excluding references). Papers should follow the same guidelines as papers published in the proceedings of the ACM ICMI conference. The paper should be submitted in PDF format and through the ICMI submission system in the “Late-Breaking Results” track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version, and no deadline extensions can be granted.

Anonymization
Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR relative to prior work, authors should not remove or anonymize references to their own prior work. Instead, authors should refer to their own prior work in the third person during submission. After acceptance, such references can be changed to first person if desired.

* Review Process
LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work, which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors, including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it fits the LBR track, for example, in-progress results. More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Authors should clearly justify how the proposed ideas can bring measurable breakthroughs compared to the state of the art.

* Attendance
Similar rules for registration and attendance will be applied for authors of LBR papers as for regular papers. Further information will be made available later on the conference website.

* Website
For updates, please visit: https://icmi.acm.org/2026/late-breaking-results/

* Contact
For further questions, contact the LBR co-chairs, Daniel Riccio and Hung-Hsuan Huang, at:
icmi2026-latebreaking-chairs@acm.org
We would be grateful if you could circulate this call among colleagues and interested researchers.

Best regards,
ICMI 2026 LBR Chairs
Daniel Riccio and Hung-Hsuan Huang

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Call for Papers – GLOW Workshop @ ISWC’26

June 9th, 2026 Daniela Lopez de Luise
GLOW Workshop @ ISWC'26 – Call for Papers

37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): First Combo Call for Workshop Papers

June 9th, 2026 Daniela Lopez de Luise

*** First Combo Call for Workshop Papers ***

37th IEEE International Symposium on Software Reliability Engineering
(ISSRE 2026)

October 20-23, 2026, 5* St. Raphael Resort and Marina
Limassol, Cyprus

Workshops at ISSRE provide additional opportunities for collaborating and exchanging
information, for both practitioners from industry and academic researchers. The
workshops aim at discussing recent developments and open challenges in engineering
high-assurance software and systems, and they are open to exchange of ideas at an early
stage before maturation. All accepted workshop papers will be published by IEEE in the
ISSRE 2026 accompanying proceedings volume.

The following workshops are confirmed and will be organized co-located with ISSRE 2026.
3rd International Workshop on Advanced Intelligent Software Quality (AISQ 2026)

In the era of Industry 4.0, advanced intelligent software systems, such as cyber-physical
systems (CPS), machine learning-based systems, manufacturing systems, digital twin
systems, quantum software applications, multi-agent systems, real-time systems, and
LLM-based systems, are playing an increasingly important role in both the industrial world
and our daily lives. Failures or requirement violations in these systems may lead to
disruptive consequences or even catastrophic outcomes. Nowadays, extensive research,
spanning both formal methods and engineering practices, has been conducted to improve
the quality of advanced intelligent software from various aspects, such as usability,
correctness, reliability, scalability, and robustness. New research topics and directions,
such as prompt engineering and harness engineering, are constantly emerging. Our AISQ
aims to bridge the gap between the increasing complexity of modern systems and the
scalability of quality assurance approaches and fundamental theories. Specifically, AISQ
seeks to collect promising and high-quality research achievements and provide an
international venue to discuss advanced discoveries and emerging trends related to the
quality of Advanced Intelligent Software in both academia and industry.
3rd International Workshop on Human Factors for Software Dependability (HFSD
2026)

Software is created by humans and widely used by humans, with the ultimate goal of
benefiting society. HFSD is a specialized workshop that brings together researchers from
multiple disciplines to address the human factors that shape the reliability, safety,
security, and availability of software systems. Topics of interest include, but are not
limited to, human error, human–AI collaborative programming, social factors in security
risks, and human-in-the-loop approaches for trustworthy autonomous systems.
1st International Workshop on Quality Assurance of Conversational Agentic Systems
(QA4AGENTS)

The QA4Agents workshop focuses on quality assurance techniques, methodologies, and
tools for conversational agentic systems, namely systems capable of interacting with users
and external services through natural language. As these systems become increasingly
autonomous and deeply integrated into complex software ecosystems, ensuring their
reliability, robustness, safety, and correctness represents a critical challenge. The
workshop aims to bring together researchers and practitioners from the fields of software
engineering, software testing, artificial intelligence, and runtime verification to discuss
emerging approaches for the evaluation, testing, monitoring, benchmarking, and
validation of conversational agentic systems.

4th IEEE International Workshop on Reliable and Secure AI for Software Engineering
(ReSAISE 2026)

Artificial Intelligence is now deeply embedded in software engineering workflows, from
code generation and program repair to vulnerability detection, test generation,
maintenance, and developer support. Large Language Models and agentic AI systems
make these workflows more powerful, but they also introduce dependability questions
that software engineering research cannot treat as an afterthought. ReSAISE’26 brings
together researchers and practitioners from the AI and Software Engineering communities
to discuss how AI-based solutions for software engineering can be made reliable, secure,
trustworthy, and useful in real development settings. The workshop continues the ReSAISE
focus on reliability and security while reflecting the growing role of LLMs, AI coding
assistants, and multi-agent software engineering systems. We welcome contributions that
study the development, deployment, evaluation, and operation of reliable and secure AI
for software engineering, including methods, empirical studies, tools, benchmarks,
experience reports, and lessons learned from negative or unexpected results.

18th International Workshop on Software Aging and Rejuvenation (WoSAR 2026)

WoSAR is the premier international venue for discussing the recent advances and
discoveries in theoretical and practical aspects of software aging and rejuvenation
research. Software aging is the progressive degradation of performance and dependability
in computer programs, especially those executing for a long period of time. This
phenomenon has been extensively studied for more than 20 years, as it affects many
systems, from embedded devices to server software to critical systems. Software
rejuvenation, i.e., proactive restart of application (components/threads/tasks), reboot of
VMs or machines, and failover to a replica are the most prominent approaches to combat
software aging. A variety of rejuvenation techniques, scheduling plans, scope and
granularity, have been proposed for different application types and platforms.
Important Dates (AoE)

• Submission deadline: July 20, 2026 (indicative, refer to the workshops' websites)
• Notification of acceptance: August 10, 2026
• Camera-ready copy submission: August 17, 2026
• Author registration deadline: August 19, 2026
Organisation

General Chairs
• Leonardo Mariani, University of Milano – Bicocca, Italy
• George A. Papadopoulos, University of Cyprus, Cyprus

Program Coordinator
• Roberto Natella, GSSI, Italy

Research Program Committee Chairs
• Domenico Cotroneo, UNC Charlotte, USA
• Jie M. Zhang, King's College London, UK

Industry Program Chairs
• Jinyang Liu, Bytedance, USA
• Sigrid Eldh, Ericsson AB, Sweden

Workshop Chairs
• Georgia Kapitsaki, University of Cyprus, Cyprus
• August Shi, The University of Texas at Austin, USA

Doctoral Symposium Chairs
• Stefan Winter, LMU Munich, Germany
• Lili Wei, McGill University, Canada

Fast Abstract Chairs
• Luigi Lavazza, University of Insubria, Italy
• Yintong Huo, SMU, Singapore

JIC2 Chair
• Helene Waeselynck, LAAS-CNRS, France

Publicity Chairs
• Allison K. Sulivan, The University of Texas at Arlington, USA
• Jose D'Abruzzo Pereira, University of Coimbra, Portugal

Publication Chairs
• Sherlock Licorish, Otago Business School, New Zealand
• Maria Teresa Rossi, GSSI, Italy

Artifact Evaluation Chairs
• Naghmeh Ivaki, University of Coimbra, Portugal
• Fumio Machida, University of Tsukuba, Japan

Diversity and Inclusion Chair
• Eleni Constantinou, University of Cyprus, Cyprus

Financial Chair
• Costas Pattichis, University of Cyprus, Cyprus

Web Chairs
• Michalis Ioannides, Easy Conferences LTD
• Elena Masserini, University of Milano – Bicocca, Italy

Registration Chair
• Easy Conferences LTD
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GeMAIHc 2027: early registration June 22

June 9th, 2026 Daniela Lopez de Luise
 
1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE
 
GeMAIHc 2027
 
Milan, Italy
 
February 1-5, 2027
 
 
********************************************************
 
Co-organized by:
 
Human Technopole
 
IRDTA – Institute for Research Development, Training and Advice
 
******************************************************
 
Early registration: June 22, 2026
 
******************************************************
 
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, 1 symposium, 4 local presentations, and hands-on activities with 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
Viale Rita Levi-Montalcini, 1
20157 Milan, Italy
 
 
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), tba
 
PROFESSORS AND COURSES (list to be completed)
 
Pierre Baldi (University of California Irvine), [introductory/advanced] The AI-driven Healthcare of the Future
 
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
 
Faisal Mahmood (Harvard University), tba
 
Tom Pollard (Massachusetts Institute of Technology), tba
 
Hoifung Poon (Microsoft Research), [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), tba
 
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.
 
HANDS-ON ACTIVITIES
 
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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