37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): Third Call for Papers (Research Track)
March 31st, 2026 
Daniela Lopez de Luise |
*** Third Call for Papers (Research Track) ***
37th IEEE International Symposium on Software Reliability Engineering
(ISSRE 2026)
October 20-23, 2026, 5* St. Raphael Resort and Marina
Limassol, Cyprus
The International Symposium on Software Reliability Engineering (ISSRE) is the leading
conference on software reliability research and practice. ISSRE focuses on techniques and
tools for assessing, predicting, and improving the reliability, safety, security, and resilience
of software systems. As modern software increasingly integrates AI/ML components,
operates autonomously, and spans cloud-to-edge environments, ensuring reliable system
behavior is more critical than ever.
Topics of Interest
ISSRE 2026 invites high-quality contributions that advance the theory and practice of
software reliability across contemporary software-intensive systems, including systems
that incorporate AI/ML components. Topics of interest include, but are not limited to:
Foundations of Reliability and Dependability
• Principles, models, metrics, empirical methods, and theories of software reliability,
resilience, robustness, and safety
• Systematic approaches to fault prevention, fault removal, fault tolerance, and fault
forecasting in modern software systems
• Testing and debugging, formal methods, model checking, static/dynamic analysis,
verification, and runtime assurance
Reliability in AI-Driven and Autonomic Systems
• Reliability engineering for AI-enabled, autonomous, self-adaptive, and cyber-physical
systems
• Assurance, testing, verification, and certification of AI/ML components, including
foundation and generative models
• Reliability of AI-generated code: validation, verification, explainability, defect analysis,
and trustworthy automation of development tasks
• Impact of AI on software lifecycle processes (design, testing, evolution, operations, and
quality management)
AI Techniques for Reliability Engineering
• Machine learning for defect prediction, anomaly detection, debugging assistance, fault
localization, and test automation
• Learning-based approaches to self-healing, resilience management, predictive
maintenance, and reliability optimization
• Reliability governance in AI-driven DevOps pipelines, including transparency,
interpretability, and auditability
Software Reliability in Emerging System Domains
• Reliability assurance for cloud, edge, IoT, 5G/6G, cyber-physical, high-performance,
and network softwarization environments
• Dependability of open-source ecosystems, data-driven pipelines, model hubs, and
AI-assisted contributions
• Benchmarking, stress testing, workload modeling, and measurement frameworks for
large-scale and AI-based systems
Trustworthiness, Security, and Responsible Software Engineering
• Intersections of reliability with security, privacy, fairness, transparency, and regulatory
compliance
• Societal, ethical, and human impacts of pervasive AI-enabled software systems
• Responsible governance of AI-based systems, including lifecycle assurance, auditability,
and risk analysis
Human-Centered, Empirical, and Reproducible Reliability Research
• Field studies, experience reports, user studies, and human factors in reliability
engineering
• Public datasets, benchmark suites, reproducibility packages, and replication/negative-
result studies
• Tooling, automation, continuous reliability monitoring, observability, and operational
feedback loops
Research Track Paper Categories
The research track at ISSRE 2026 invites high-quality submissions of technical research
papers that describe original, unpublished results exploring new scientific ideas,
contribute new evidence to established research directions, or reflect on practical
experience. Specifically, ISSRE solicits submissions in three categories:
• Research (RES) papers
• Practical experience reports (PER)
• Tools and artefacts (TAR) papers
Papers will be assessed with criteria appropriate to each category. All the papers of the
three categories are regular and full papers, and will be published in the same ISSRE
proceedings.
RES Papers
RES papers (12 pages, including references) should describe a novel contribution to the
reliability of software systems. Novelty should be argued via concrete evidence and
appropriate positioning within the state of the art. RES papers are also expected to
explain the validation process and its limitations clearly.
PER Papers
PER papers (12 pages, including references) should provide an in-depth exposition of
practical experiences ideally performed by a collaboration of researchers and industry
practitioners. The key contribution of these papers should be lessons learned from
applying established research tools and methods to ISSRE topics, or new knowledge
acquired through empirical studies conducted using various research methodologies.
Negative results are welcome, e.g., discussing where or why current research cannot be
applied in an industrially relevant context.
TAR Papers
TAR papers (6 – 10 pages, including references) should describe a new tool or artefact.
Tool-focused TAR papers must present either a new tool or a novel and substantial
extension of an existing tool. They should include a description of (i) the theoretical
foundations, (ii) the design and implementation aspects, and (iii) experiments with
realistic case studies. Making the tool publicly available is strongly encouraged.
Artefact-focused TAR papers should cover (i) a working copy of the software and (ii)
experimental data sets. Dataset papers should introduce a new dataset that supports
experimentation, benchmarking, evaluation, or training in AI-driven software engineering.
Submissions should describe: (i) dataset motivation and scope, (ii) data collection and
processing methodology, (iii) dataset structure and statistics, and (iv) potential use cases.
Benchmark papers should present a new benchmark suite for evaluating tools, LLMs, or
algorithms. Submissions should include: (i) benchmark design principles, (ii) task
definitions and evaluation metrics, (iii) baseline results, and (iv) reproducibility package.
The ISSRE conference encourages authors of all three categories of research track papers
to follow the principles of transparency, reproducibility, and replicability. Authors are
encouraged to disclose data to increase reproducibility and replicability. Should the paper
be accepted, the authors will have the opportunity (and are encouraged to) submit
artifacts to the Artifact Evaluation (AE) track, to enhance the reproducibility and quality of
the research. By submitting your artifacts, you not only contribute to the progress of our
field but also stand a chance to earn badges that will be displayed on your papers in the
conference proceedings, showcasing the credibility and rigor of your work.
At least one author of each accepted paper must register as an author and present the
paper in person at the conference.
Best Research Paper Award
ISSRE is pleased to announce the IEEE Best Research Paper Award, awarded every year to
the best paper in the Research Track.
Special Journal Issue
Authors of accepted papers will be invited to submit an extended version of their work to
a special issue of the Empirical Software Engineering (EMSE) journal (under negotiation as
in previous editions of the conference). The Call for Papers will be available soon.
Review Process & Quality Assurance in ISSRE 2026 (New)
Please refer to the information on the conference web site:
Major Revision Guidelines
Please refer to the information on the conference web site:
Rapid Response Reviewers (RRRs)
Please refer to the information on the conference web site:
Anonymizing Rules
Please refer to the information on the conference web site:
Formatting Rules
Please refer to the information on the conference web site:
Paper Submission
Submissions will be reviewed by the Program Committee through a double-blind reviewing
process, with a limited use of outside referees. Papers will be held in complete confidence
during the reviewing process, but papers accompanied by nondisclosure agreement forms
are not acceptable and will be rejected without review.
Changes in the number and order of authors will not be allowed after the paper
acceptance.
Authors must anonymize their submissions in accordance with the guidelines above.
Submissions violating the formatting and anonymization rules will be desk-rejected
without review. There will be no extensions for reformatting.
Conference Proceedings
The authors of accepted papers must omit the paper’s type from the title to keep
consistency among all the camera-ready versions in the proceedings. The conference
proceedings will be published by IEEE Computer Society Conference Publishing Services
(CPS). Papers presented at the conference will be submitted for inclusion into IEEE Xplore
and to all of the A&I (abstracting and indexing) partners (such as the EI Compendex).
Important Dates (AoE)
• Abstract Submission Deadline: April 10, 2026
• Paper Submission Deadline: April 17, 2026
• Author Rebuttal Period: June 5 – June 8, 2026
• Decisions and Early Notification: June 15, 2026
• Author Revision Period: June 16 – July 3, 2026
• Notification to Authors: July 8, 2026
• Camera Ready Papers: August 19, 2026
• Author Registration Deadline (Research Track): 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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CFP-IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2026)
March 31st, 2026 Daniela Lopez de Luise We are pleased to invite you to submit your latest research to the 9th IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2026), which will be held in Bangkok, Thailand, from 9–11 August 2026.
With vast amounts of multimedia data now widely accessible, understanding spatial and temporal phenomena has become essential across many applications. This growing demand calls for advanced techniques in multimedia data processing, analysis, retrieval, mining, and management. IEEE MIPR 2026 provides a premier international forum for researchers, practitioners, and industry professionals to present original research findings and practical innovations in multimedia information processing and retrieval.
The conference will feature a comprehensive technical program, including the main technical track, keynote speeches, workshops, demonstrations, posters, tutorials, and panel discussions. It brings together university researchers, scientists, industry professionals, software engineers, and graduate students to exchange ideas, share insights, and foster collaborations.
We warmly welcome your participation and look forward to meeting you in Bangkok in August 2026.
Some important dates and our topics are listed below. For more details, please visit the conference website: https://mipr2026.org/
Sincerely,
Organizing Committee
IEEE MIPR 2026
1 Important Dates
==========================
All deadlines below are 11:59 PM Anywhere on Earth
– Submission deadline: April 12, 2026
– Acceptance Notifications: May 31, 2026
– Camera Read Deadline: June 17, 2026
2 Paper Submission
==========================
Papers reporting original and unpublished research results pertaining to the topics in the CFP are solicited. Full paper manuscripts must be in English, following the IEEE two-column template instructions. Submissions should include the title, author(s), affiliation(s), e-mail address(es), abstract, and institution information in the first page. The online submission site is https://cmt3.research.microsoft.com/MIPR2026. We invite submissions in three categories: regular paper (6 pages), demo paper (4 pages) and poster paper (2 pages). Each submission will undergo a thorough peer-review process.
3. Research Track Topics:
==========================
Generative and Foundation Models in Multimedia
• AI-generated Media
• Foundation Models in Vision and Audio
• Media Generation with Generative Models
• Media Generation with Large Vision/Language Models
• Visual and Vision-Language Pre-training
• Generic Vision Interface
• Alignments in Text-to-image Generation
• Large Multimodal Models
• Multimodal Agents
Trustworthy AI in Multimedia
• AI Reliability for Multimedia Applications and Systems
• AI Fairness for Multimedia Applications and Systems
• AI Robustness for Multimedia Applications and Systems
• Attack and Defense for Multimedia Applications and Systems
• Security of Large AI Models
Audio and Speech in Multimedia
• Speech/Voice Synthesis
• Analysis of Conversation
• Speaker and Language Identification
• Audio Signal Analysis
• Spoken Language Generation
• Automatic Speech Recognition
• Spoken Dialogue and Conversational AI Systems
Content Understanding
• Multimedia Telepresence and Virtual/Augmented/Mixed Reality
• Visual Concept Detection
• Detection and Tracking
• 3D Modeling, Reconstruction, and Interactive Applications
• Multimodal/Multisensory Interfaces, Integration, and Analysis
• Effective and Scalable Solution for Big Data Integration
• Affective and Perceptual Multimedia
Multimedia Retrieval
• Multimedia Search and Recommendation
• Web-Scale Retrieval
• Relevance Feedback, Active/Transfer Learning
• 3D and Sensor Data Retrieval
• Multimodal Media (Images, Videos, Audio, Texts, Graph/Relationship) Retrieval
• High-Level Semantic Multimedia Features
Machine/Deep Learning/Data Mining
• Deep Learning in Multimedia Data and Multimodal Fusion
• Deep Cross-Learning for Novel Features and Feature Selection
• High-Performance Deep Learning (Theories and Infrastructures)
• Spatio-Temporal Data Mining
• Novel Dataset for Learning and Multimedia
Multimedia Systems and Infrastructures
• Multimedia Systems and Middleware
• Software Infrastructure for Data Analytics
• Distributed Multimedia Systems and Cloud Computing
• Internet Scale System Design
• Information Coding for Content Delivery
• Real-Time Data Processing for Internet of Multimedia Things
Data Management
• Multimedia Data Collection, Modeling, Indexing, or Storage
• Multimedia and Content Forensics
• Data Integrity, Security, Protection, and Privacy
• Standards and Policies for Data Management
• Steganography for Secure Data Embedding
• Homomorphic Encryption for Secure Data Processing
Applications
• Multimedia Applications for Health and Sports
• Multimedia Applications for Culture and Education
• Multimedia Applications for Fashion and Living
• Multimedia Applications for Security and Safety
• Multimedia Applications for Agriculture
• Autonomous Systems (Self-driving Cars, Robots, Drones, etc.)
• Mobile and Wearable Multimedia
4. Bonus
==========================
Top quality papers after presented in the conference will be recommended for extension and publication in several international journals, e.g., IEEE Transactions on Multimedia (TMM), ACM Transactions on Multimedia Computing Communications and Applications (TOMM), IEEE MultiMedia Magazine, EURASIP Journal on Image and Video Processing (EURASIP JIVP), Human-Centric Intelligent Systems, etc.
CFP: IEEE JSTSP Special Issue on Autonomous and Evolutive Optimization in Networked AI
March 31st, 2026 Daniela Lopez de Luise We invite submissions on online, self-evolving, and distributed optimization methods for networked AI systems, spanning adaptive signal processing, deep learning, reinforcement learning, multimodal learning, cognitive communications, end-cloud collaborative LLMs, multi-agent intelligence, model-drift compensation, and learning in non-stationary environments.
Submission deadline: June 15, 2026
CFP: https://signalprocessingsociety.org/events/ieee-jstsp-special-issue-autonomous-and-evolutive-optimization-networked-ai
Guidelines: https://signalprocessingsociety.org/publications-resources/ieee-journal-selected-topics-signal-processing
Submission site: https://mc.manuscriptcentral.com/sps-ieee
Guest editors: Liang Song, Jiangchuan Liu, Amit Dvir, Athanassios Skodras, Victor C.M. Leung, and Qi Bi
Administrative contact: Sasha Lee (sasha.lee.insai@gmail.com)
ANNPR 2026 – Call for Papers and Special Sessions
March 31st, 2026 Daniela Lopez de Luise 2026 – the 12th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, which will take place October 7–9, 2026, at the University of Milan (Italy). The workshop will be held in person.
Proceedings will be published in the Springer LNAI (Lecture Notes in Artificial Intelligence) series.
Website: https://annpr2026.unimi.it
Keynote Speakers
Sander Dieleman, DeepMind, London (UK)
Elisa Ricci, University of Trento, Trento (Italy)
Pietro Lió, University of Cambridge, Cambridge (UK)
Elena Casiraghi, University of Milan, Milan (Italy)
________________________________________________________________
Call for Special Sessions
We welcome proposals for Special Sessions (Research Track) on emerging and timely topics aligned with the workshop themes.
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Proposal deadline: April 1, 2026
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Proposals should include title, description, chairs, rationale, and potential contributors
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Send proposals to: annpr26@gmail.com
Call for Papers
ANNPR 2026 invites original contributions on artificial neural networks and machine learning for pattern recognition, including both methodological advances and applications.
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Paper submission deadline: May 14, 2026
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Maximum length: 12 pages (Springer LNAI format)
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Submission via OpenReview: https://openreview.net/group?id=iapr.org/TC3/2026/Workshop/ANNPR
Paper submission deadline: May 14, 2026
Submission via OpenReview: https://openreview.net/group?id=iapr.org/TC3/2026/Workshop/ANNPR
________________________________________________________________
Important Dates
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Special Session Proposals: April 1, 2026
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Paper Submission: May 14, 2026
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Notification: June 29, 2026
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Camera-ready Papers: July 13, 2026
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Workshop: October 7–9, 2026
We would appreciate it if you could share this announcement with interested colleagues and students.
Best regards,
Giovanna Maria Dimitri (University of Milan)
Sinem Aslan (University of Milan)
Edmondo Trentin (University of Siena)
Mirco Ravanelli (Concordia University)
Cem Subakan (Laval University)
Stefano Montanelli (University of Milan)
ANNPR 2026 Organizing Committee
annpr2026@gmail.com