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37th IEEE International Symposium on Software Reliability Engineering
(ISSRE 2026)
October 20-23, 2026, 5* St. Raphael Resort and Marina
Limassol, Cyprus
The Replications and Negative Results (RENE) Track has been introduced in the software
engineering community for a while and received overwhelmingly positive feedback. This
year, we establish this track at ISSRE and invite researchers to (1) replicate results from
previous papers and (2) publish studies with important and relevant negative or null
results (results that fail to show an effect, yet demonstrate the research paths that did not
pay off).
We also encourage the publication of the negative results or replicable aspects of
previously published work. For example, authors of a published paper reporting a working
solution for a given problem can document in a “negative results paper” other (failed)
attempts they made before defining the working solution they published.
• Replication studies. The papers in this category must go beyond simply re-
implementing an algorithm and/or re-running the artifacts provided by the original paper.
Such submissions should at least apply the approach to new data sets (open-source or
proprietary). A replication study should clearly report on results that the authors were
able to replicate, as well as on the aspects of the work that were not replicable.
• Negative results papers. We seek papers that report on negative results. We seek
negative results for all types of program comprehension research in any empirical area
(qualitative, quantitative, case study, experiment, etc.). For example, did your controlled
experiment not show an improvement over the baseline? Even if negative, results obtained
are still valuable when they are either not obvious or disprove widely accepted wisdom.
Evaluation Criteria
Both Replication Studies and Negative Results submissions will be evaluated according to
the following standards:
• Depth and breadth of the empirical studies
• Clarity of writing
• Appropriateness of conclusions
• Amount of useful, actionable insights
• Availability of artifacts
• Underlying methodological rigor. A negative result due primarily to misaligned
expectations or due to lack of statistical power (small samples) is not a good submission.
The negative result should be a result of a lack of effect, not a lack of methodological
rigor.
Most importantly, we expect replication studies to clearly point out the artifacts upon
which the study is built, and to provide the links to all the artifacts in the submission (the
only exception will be given to those papers that replicate the results on proprietary
datasets that can not be publicly released).
Submission Instructions
Submissions must be original, in the sense that the findings and writing have not been
previously published or under consideration elsewhere. However, as either replication
studies or negative results, some overlap with previous work is expected. Please make
clear in the paper the overlap with and difference from previous work.
All submissions must be in PDF format and conform, at time of submission, to the IEEE
Computer Society Format Guidelines:
Authors are strongly encouraged to print the PDF and review it for integrity (fonts,
symbols, equations, etc.) before submission, as defective printing can undermine a
paper’s chance of success. By submitting to the ISSRE RENE Track, authors acknowledge
that they are aware of and agree to be bound by the IEEE Plagiarism FAQ. In particular,
papers submitted to the RENE track must not have been published elsewhere and must not
be under review or submitted for review elsewhere whilst under consideration for ISSRE
2026. Contravention of this concurrent submission policy will be deemed a serious breach
of scientific ethics, and appropriate action will be taken in all such cases. To check for
double submission and plagiarism issues, the chairs reserve the right to (1) share the list
of submissions with the PC Chairs of other conferences with overlapping review periods
and (2) use external plagiarism detection software, under contract to the IEEE, to detect
violations of these policies.
Submissions to the RENE Track can be made via the ISSRE RENE track submission site：
Submission Length: The ISSRE RENE Track accepts submissions of two lengths:
(1) New replication studies and new descriptions of negative results should have a length
of up to 10 pages, plus 2 pages which may only contain references.
(2) Negative results documented during the preparation of previously published work by
the authors should be described in up to 5 pages, plus 1 page, which may only contain
references (e.g., as previously mentioned, authors of a published paper can document
negative results they obtained while working on it, such as methodologically sound
solutions that did not work).
Important note 1: Both types of papers (replication and negative results) will be included
as part of the main conference proceedings.
Important note 2: The RENE track does not follow a double-anonymous review process.
Publication and Presentation
Upon notification of acceptance, all authors of accepted papers will receive further
instructions for preparing the camera-ready versions of their submissions. If a submission
is accepted, at least one author of the paper is required to have a full registration for ISSRE
2026, attend the conference, and present the paper in person. All accepted papers will be
published in the conference electronic proceedings. The presentation is expected to be
delivered in person, unless this is impossible due to travel limitations (e.g., related to
health or visa). Details about the presentations will follow the notifications.
The official publication date is the date the proceedings are made available in the IEEE
Digital Libraries. The official publication date affects the deadline for any patent filings
related to published work.
Purchases of additional pages in the proceedings are not allowed.
Important Dates (AoE)
• Submission deadline: July 5, 2026
• Notification of acceptance: August12 29, 2026
• Camera-ready copy submission: August 19, 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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37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): First Call for Replications and Negative Results
February 5th, 2026 
Daniela Lopez de Luise Fusion 2026 Conference
February 5th, 2026 Daniela Lopez de Luise We are inviting participants at the 29th International Conference on Information Fusion, Fusion 2026, Trondheim, Norway | 23 – 26 June 2026:
Submit your research papers on sensor, data, information and knowledge fusion, associated system frameworks and systemic challenges:
https://cmt3.research.microsoft.com/FUSION2026/Submission/Index
Submission guideline: 15 February 2026
Acceptance Notification: 15 April 2026
Camera Ready due: 15 May 2026
with details available on:
https://www.ntnu.edu/fusion2026/call-for-papers
Special Session Announcement
We are pleased to announce that we have received an astounding number of compelling special session proposals promoting scientific exchange on *up-and-coming research topics* in information fusion.
Authors are thus invited to check whether their submissions topically fit into one of these 12 special sessions accepted for FUSION 2026
(please click here https://www.ntnu.edu/fusion2026/special-sessions
* SS1: Advances in Maritime Tracking, Sensor Technologies, and Navigational Safety
* SS2: Advanced Nonlinear Filtering
* SS3: Applications of Stone Soup
* SS4: The Convergence of AI and Information Fusion
* SS5: Aerospace Estimation and Fusion
* SS6: Special Session on Evaluation of Technologies for Uncertainty Reasoning
* SS7: Special Session on Extended Object and Group Tracking
* SS8: LAFUSION
* SS9: Scalable Fusion for Autonomous Systems: Theory, Algorithms, Applications, and Trusted Architectures
* SS10: Context-Based Information Fusion
* SS11: Information Fusion for Situation Understanding and Sense-Making
* SS12: Knowing the Past of Information Fusion to Prepare Its Future – Milestones, Lessons Learned, and Emerging Paradigms
Accommodation
Please be informed that FUSION 2026 participants can book rooms at a discounted rate at the conference hotel /Clarion Hotel Trondheim
https://app.mews.com/distributor/27739c62-36df-4360-af5d-b0ca00a81641?mewsAvailabilityBlockId=57cfa3e1-0934-4e03-96af-b2d8006fb392&mewsStart=2026-06-22&mewsEnd=2026-06-26
Topics of Interest
Include, but are not limited to:
Theory and Representation:
Probability theory, Bayesian inference, argumentation, belief functions theory, subjective logic, possibility and fuzzy set theory, rough sets, knowledge representation and reasoning, decision theory, graph-based fusion models, sparse representations and compressed sensing, random sets, finite point processes and others.
Algorithms:
Multi-modal information fusion, machine learning and artificial intelligence, nonlinear filtering, data association, tracking, prediction, localization and navigation, recognition, classification, signal processing, alignment and registration, situation assessment,
behavioral analysis, fusion architectures, resource management, anomaly/change detection, contextual adaptation, ontologies/semantics, neuromorphic computing, soft fusion and LLMs.
Applications:
Decision support, autonomous systems, distributed systems, soft-hard fusion, edge fusion, robotics, defense/security, intelligence fusion, intelligent transportation, wireless sensor networks, finance, environmental monitoring, e-health, bioinformatics, condition
monitoring, precision agriculture, mining/manufacturing and other emerging applications.
Test and Evaluation:
Trust in fusion systems, fusion performance, explainability and uncertainty of fusion processes, target/sensor modelling, benchmarks/testbeds.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. *Full Papers (between 5 and 8 pages)* must conform to specifications in templates provided by IEEE at
https://www.ieee.org/conferences/publishing/templates
Please also note the following related calls:
Call for *Tutorials*: https://www.ntnu.edu/fusion2026/call-for-tutorials
Tutorial submissions due: February 15, 2026
What to expect
Reasons for attending FUSION 2026:
* Learn about the latest */scientific breakthroughs/*in information fusion while enjoying Norway’s historical capital city, where you can experience days with the sun up for over 20 hours a day. Trondheim https://visittrondheim.no/en
is today known as Norway’s technology capital and it is also the food capital of Norway with more than 200 restaurants, of which more than one are mentioned in the Michelin Guide.
* Enjoy networking* opportunities by participating in our Social Events
https://www.ntnu.edu/fusion2026/social-program
including
* an organ concert in the historical *Nidarosdomen* https://www.nidarosdomen.no/en
has been a pilgrim destination for almost 1000 years, followed by an /Ice Breaker/ in Erkebispegården (the archbishop’s palace) https://www.nidarosdomen.no/en/attractions/erkebispegarden
* Welcome Reception/ at the gourmet bistro Tollbua https://tollbua-trondheim.no/en
* and a /Gala Dinner/ at the conference site *Clarion Hotel Trondheim
https://www.strawberryhotels.com/hotels/norway/trondheim/clarion-hotel-trondheim
* Present your research at the premier scientific forum on information fusion and exchange with experts in the field. Accepted papers will be submitted for publication in the *IEEE Xplore® Digital Library* (indexed in Scopus and the Web of Science).
Contact:
For questions regarding paper submission, please contact technical@fusion2026.org
For more general questions, please contact chairs@fusion2026.org
Best regards,
The FUSION 2026 organizing committee
Sponsors: ISIF, IEEE; AESS
FMEC 2026: The 11th International Conference on Fog and Mobile Edge Computing, 15 – 18 September 2026 | Abu Dhabi, UAE
February 5th, 2026 Daniela Lopez de Luise
The 11th International Conference on Fog and Mobile Edge Computing (FMEC 2026)
https://emergingtechnet.org/FMEC2026/
15 – 18 September 2026 | Abu Dhabi, UAE
Hybrid Event and Technically Co-Sponsored by IEEE UAE Section
FMEC 2026 CFP:
Cloud computing provides a large range of services and virtually unlimited available resources for users. New applications, such as virtual reality and smart building control, have emerged due to the large number of resources and services brought by cloud computing. However, the delay-sensitive applications face the problem of large latency, especially when several smart devices and objects are getting involved in human’s life such as the case of smart cities or Internet of Things. Therefore, cloud computing is unable to meet the requirements of low latency, location awareness, and mobility support. To solve this problem, researchers have introduced a trusted and dependable solution through the Fog and the Mobile Edge Computing (FMEC) to put the services and resources of the cloud closer to users, which facilitate the leveraging of available services and resources in the edge networks. By this, we are moving from the core (cloud data centers) to the edge of the network closer to the users. FMEC dependability is based on providing user centric service. The purpose of Fog and the Mobile Edge Computing is to run the heavy real-time applications at the network edge directly using the billions of connected mobile devices.
Several features enable the Fog and the Mobile Edge Computing to be a perfect paradigm to the aforementioned purpose, which are the dense geographical deployment of servers, supporting mobility and the closeness to users. As in every new technology, some challenges face the vision of the Fog and the Mobile Edge Computing, which are the administrative policies and security concerns (i.e. secure data storage, secure computation, network security, data privacy, usage privacy, location privacy, etc). FMEC 2026 conference aims to investigate the opportunities and requirements for Mobile Edge Computing dominance. In addition, it seeks for novel contributions that help mitigate Mobile Edge Computing challenges. That is, the objective of FMEC 2026 is to provide a forum for scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Fog and Mobile Edge Computing (FMEC). FMEC 2026 is Technically Co-Sponsored by IEEE Florida Section. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to the following:
- Fog and Mobile Edge Computing in unmanned aerial vehicle communications and applications
- Fog and Mobile Edge Computing in mission-critical systems
- Intelligent Transportation Systems
- Edge-cloud computing architectures, frameworks and platforms
- Edge-cloud networking and communication
- Quality of Service (QoS) improvement techniques
- Network virtualization for Edge-to-cloud systems
- FMEC and IoT Data Communication Protocols
- Industrial Fog and Mobile Edge Computing Applications
- Mobile Cloud Computing Systems and Applications
- FMEC in Environmental Sustainability
- Trustworthy AI for Edge and Fog Computing
- Security and Privacy in Fog and Mobile Edge Computing
- Decentralized Data Management and Streaming Systems in FMEC
- Data storage, processing, and management at FMEC platform
- Federated learning and distributed machine learning in the fog and on the edge
- 5G and fog/edge computing
- Middleware and runtime systems for fog/edge infrastructures
- Energy-efficient fog/edge computing
- Edge/fog-to-cloud APIs and protocols
- Mobility, connectivity, heterogeneity support for edge/fog services
- Load balancing/scheduling in fog/edge computing
- Crowdsourcing and establishing trust on data sources
- Decision support systems for Edge-cloud computing
- AI-based or data-driven orchestration of workflows in Edge computing
- Automatic scheduling and deployment of workflows and services in Edge computing
- Distributed management of Edge computing
- Mechanisms and data structures for the governance of Edge computing
- Interfaces, orchestration and optimization of the Networking-Computing continuum
- In-network computing for the edge-cloud continuum
- Novel programming models for Edge computing
- Dynamic Edge/Fog environments
- Automatic deployment and continuous dynamic composition of Edge services
- Semantic annotation of Edge/Fog services
- AI in Autonomous Urbanism
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 FMEC 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 between 4 to 6 pages.
Important Dates:
- Paper Submission: April 15, 2026
- Notification to Authors: July 10, 2026
- Camera Ready Submission: July 30, 2026
Contact:
Please send any inquiry on FMEC to: emergingtechnetwork@gmail.com
CVPR 2026 Workshop (CVMI) – Multimodal Microscopy | Deadline March 12
February 5th, 2026 Daniela Lopez de Luise We invite submissions to the 11th CVPR Workshop on Computer Vision for Multimodal Microscopy Image Analysis (CVMI), held in conjunction with CVPR 2026.
Submission deadline: March 12, 2026 (Anywhere on Earth)
The workshop targets the computer vision and machine learning community, with an emphasis on methodological advances for multimodal microscopy and omics data. Topics of interest include but are not limited to:
- Deep learning and computer vision methods for microscopy image analysis
- Multimodal, multi-scale, and representation learning (including foundation models)
- Self-supervised and weakly supervised learning
Accepted papers will be published in the CVPR workshop proceedings and made available via IEEE Xplore and the CVF website.
Workshop website:
https://cvmi-workshop.github.io/callForPaper.html
Submission instructions:
https://cvmi-workshop.github.io/submission.html
Best regards,
Mei
AI in Healthcare Conference, 26-28 August, Imperial College London
February 5th, 2026 Daniela Lopez de Luise INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH)
26 – 28 August 2026, Imperial College London, UK
(2nd Call for Papers)
Deadline: 10 April 2026
Submission to AIiH 2026 is now open, with submission deadline the 10th of April 2026. AIiH 2026 is a single-track conference with oral and poster presentations and will include four keynote presentations and one conference tutorial on translation. This third edition will be hosted in Imperial College London.
Authors are invited to submit full-length high-quality papers in both theory and/or application areas that are closely relevant to the conference. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation. Submissions for special sessions are also welcomed. Special session papers are reviewed in the same way as main sessions (double blind review for full papers and the same page limit) and papers are included in the proceedings for accepted full papers.
AIiH 2026 also features 8 Special Sessions, which covers a wide range of topics that deserve special interests.
Full papers will be published in the Springer LNCS proceedings.
AIiH 2026 also welcomes short abstract submissions to be included as poster or short spot-light presentation at the conference. This is to both enable fast dissemination of promising preliminary findings and encourage attendance by a broader audience of early career researchers (including research students), healthcare professionals, and industrial practitioners. Abstracts will be archived with DOIs.
1. ABOUT THE CONFERENCE
AIiH aims to provide a prominent platform for researchers and practitioners who are devoted to improving healthcare using modern artificial intelligence. We recognise that healthcare applications present complex and sometimes unique challenges across a wide spectrum, from ethics to technical developments, that generic AI methods are often inadequate. By creating this dedicated forum, we encourage discussions and disseminations of efficient and effective AI solutions and technologies for healthcare, and in turn we hope to influence the research, technology adoption, and decision making in healthcare.
In September 2025, we welcomed delegates from 27 different countries to attend this second edition of the International Conference on Artificial Intelligence in Healthcare (AIiH 2025), which is hosted in September 2025 in the Jesus College, University of Cambridge, UK. A total of 83 full-length papers (12 pages plus to 2 pages of references) and 102 short abstracts (up to 5 pages in length) were received by the April deadline. AIiH 2025 continued to adopt the double-blind peer review policy for full-length papers. Each paper received at least 3 reviews, with an average of 3.6 reviews. Abstracts received 2 or 3 expert reviews per submission. A total of 60 full-length papers were selected for publication in the proceedings and 46 abstracts (excluding late-breaking abstracts) are digitally archived online with DOIs. Contributing authors are from 27 countries, which reflects the international nature of the conference. The best paper and best poster prizes were selected and awarded at the conference.
More details of the previous editions can be found here: https://aiih.cc/aiih-2025-overview/ and https://aiih.cc/aiih-2024/
2. TOPICS OF INTEREST
The conference welcomes submissions of novel research work in the following areas, but not limited to:
– Ethics of AI in Healthcare
– Predictive Analytics in Healthcare
– AI driven proactive care and predictive intervention
– AI driven early diagnosis and prevention
– Machine and deep learning approaches for health data
– Medical signal and image processing
– AI-aided medical imaging (CT, MRI, ultrasound, histopathology, etc.)
– Digital and virtual pathology / neurology
– AI in Pharmacology: drug discovery and drug development
– AI driven Digital Twinning in Oncology/Medicine
– Precision Medicine and AI
– AI for drug screening and discovery
– AI led personalised healthcare
– AI-aided large-scale cohort data analyses
– Patient-centred AI design
– Assisted living technology
– Healthcare workflow optimisation and automation
– AI driven robotics for healthcare
– AI in mental health
– Patient data and privacy
– AI in proactive health management
3. KEYNOTE SPEAKERS
Prof. Mihaela van der Schaar
University of Cambridge
Prof. Alejandro Frangi
University of Manchester
Prof. Huiru Zheng
Ulster University
Prof. Michael Lones
Heriot-Watt University
4. CONFERENCE TUTORIAL
Prof. Stephen Smith
University of York
Tutorial Title: “Translating AI in Clinical Practices”
5. SPECIAL SESSIONS
– Multimodal Generative AI in Healthcare
– Intelligent Systems & Robotics for Advanced Healthcare Solutions
– Trustworthy AI for Healthcare in Resource-Constrained Settings
– From Explainability to Accountability
– Ambient Assisted Living Technology for Personalised Healthcare
– Hyperspectral Imaging–Enabled AI for Clinical Diagnosis
– AI Innovations in Autism Diagnosis
– AI & Data Science for Digital Biomarkers
6. IMPORTANT DATES
Full Paper submission deadline: Friday 10 April 2026
Author notification: Monday 25 May 2026
Author registration deadline: Tuesday 16 June 2026
Early registration deadline: Monday 13 July 2026
Main conference: Wednesday 26 – Friday 28 August 2026
7. KEY ORGANISERS
CONFERENCE CO-CHAIRS
Prof. Hao Ni, University College London, UK
Prof. Xianghua Xie, Swansea University, UK
Dr. Daniele Cafolla, Swansea University, UK
CLINICIANS & MEDICAL STUDENTS ENGAGEMENT OFFICER
Dr Duaa Alim, Imperial College London, UK
8. CONTACT
Design by 2b Consult