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*** Last Combo Call for Workshop Papers ***
The 25th International Conference on Autonomous Agents and Multiagent
Systems (AAMAS 2026)
May 25-29, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus
AAMAS 2026 received 1455 full paper submissions for the Main Track, after an initial
submission of 1800 abstracts. This is by far the highest number of submissions (around
50% more than the previous highest number) in the 25 years of AAMAS.
The conference will feature the following workshops with open calls for
submission. Please visit the workshops' websites and/or contact their organisers for
more details and important dates.
2nd Workshop on AI for Critical Infrastructure and Government (AI4CNI-26)
Critical National Infrastructure (CNI) forms the backbone of modern society, yet its
increasing complexity requires increasingly autonomous operation and makes it
vulnerable to cascading failures and cyber-physical threats. The AI4CNI workshop
explores the transformative potential of artificial intelligence and multi-agent systems to
enhance the efficiency, resilience, and defense of vital services like energy, transportation,
communication networks and healthcare.
18th International Workshop on Adaptive and Learning Agents (ALA)
Adaptive and Learning Agents (ALA) brings together researchers working on learning,
adaptation, and autonomous behaviour in single- and multi-agent systems. The workshop
welcomes contributions from across computer science (including reinforcement learning,
agent architectures, evolutionary computation, planning, and game theory) as as well as
from related fields such as cognitive science, biology, economics, and the social sciences.
Autonomous Robots and Multirobot Systems (ARMS)
Robots are agents, too. Indeed, agents researchers often use robotics problems as
motivating examples. Both practical and analytical techniques developed by agents
researchers influence, and are influenced by, research in autonomous robots and multi-
robot systems. Despite the overlap between the agents and robotics research areas,
researchers from these communities only have a few opportunities to meet and interact.
The Robotics Area of Interest in the main AAMAS conference (formerly, the “Robotics
Track”) is one such opportunity. The goal of this workshop is to build on this opportunity,
offering an informal and dedicated forum where agents and robotics researchers can
interact, discuss promising research directions and open problems, and foster further
collaborations. Contributions are sought in all areas of robotics, in particular as related to
autonomous agents research. Theoretical papers are welcome, as long as they clearly
specify the connection to challenges in robotics. Empirical studies should ideally present
experiments with real robots, though physical simulation studies are also acceptable.
Papers that focus on mechanical aspects and low-level control should make an effort to
relate this work to the agents community.
7th International Workshop on Agents for Societal Impact (ASI)
This workshop focuses on the design, analysis, and deployment of intelligent agents that
contribute positively to society. As AI agents become increasingly autonomous and
embedded in real-world systems, it is critical to ensure that their behavior aligns with
human values and societal goals, rather than optimizing narrowly defined technical
objectives. The workshop provides a forum to discuss how agent-based technologies can
be responsibly applied to real-world societal systems, including (but not limited to):
healthcare, education, climate, sustainability, conservation, public infrastructure, labor
markets, governance and policy design, etc. The goal is to identify new MAS problems in
societies, develop novel MAS solutions to resolve social challenges, and learn from the
real-world deployment of MAS.
14th International Workshop on Agents in Traffic and Transportation (ATT 2026)
The ATT 2026 workshop focuses on AI-driven modeling, simulation, control, and
management of large-scale traffic and transportation systems. It addresses the challenges
of distributed, autonomous, and data-rich mobility systems operating under uncertainty
and societal constraints. The workshop invites contributions on multi-agent systems,
machine learning, optimization, control, and data-centric AI approaches. Topics include
autonomous and connected vehicles, intelligent traffic control, digital twins, shared
mobility, and multi-modal transportation. Both theoretical advances and real-world
applications enabling safe, robust, and scalable intelligent transportation are welcomed.
Citizen-Centric Multi Agent Systems 2026 (C-MAS 2026)
Join us for the C-MAS 2026 workshop, where we explore citizen-centric AI and multiagent
systems. In today’s world, large-scale AI systems hold the potential to tackle critical
societal challenges, from decarbonising our energy system to facilitating on-demand
mobility and improving disaster response. However, we often overlook the active role of
citizen end users, treating them merely as data providers and service consumers. Our
workshop aims to shift this perspective and explore innovative approaches that treat
citizen end users as primary agents with diverse needs and preferences. By doing so, we
can develop more trustworthy, fair, and widely accepted sociotechnical solutions to
pressing societal challenges.
11th Workshop on Collaboration of Humans, Agents, Robots, Machines and Sensors
(CHARMS 2026)
Cyber physical systems (CPS) are becoming more involved in the lives of humans. All
indications point to a future where many varieties of CPS and humans co-exist and, at a
minimum, must interact consistently through life’s tasks. This workshop will explore ideas
of the future to understand, discern and develop the relationship between humans and
CPS and the practical nature of software agents to facilitate the integration.
Causal Learning and Reasoning in Agents and Multi-Agent Systems (CLaRAMAS)
CLaRAMAS aims to foster cross-disciplinary exchange and synergistic collaboration
between two complementary communities: the AAMAS community and the Causal
Learning and Reasoning (CLR) community. The overarching goal is to bridge these domains
by exploring the following open questions: How CLR techniques can enhance agent-based
decision-making? How agent-oriented perspectives can leverage the operational
deployment of CLR in real-world applications?
Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-
Agent Systems (COINE)
This workshop is an evolution of the COIN (Coordination, Organizations, Institutions and
Norms in Agent Systems) workshop series that ran at various conferences including
AAMAS (18 times), IJCAI (twice), AAAI in 2008 and ECAI in 2006 and 2016, and produced
17 volumes of post-proceedings in Springer’s Lecture Notes in Artificial Intelligence. The
18th volume of COINE post-proceedings is in progress. In 2020, ethics was added to the
name and acronym (now COINE), and also the notion of governance of MAS was added to
the full workshop title as this is the common objective uniting the various threads of
research (coordination, organizations, etc.) undertaken. The workshop in the new format
has been held six times (2020–2025).
14th International Workshop on Engineering Multi-Agent Systems (EMAS 2026)
EMAS 2026 builds on the long-standing tradition of the Workshop on Engineering Multi-
Agent Systems, advancing the design, implementation, and deployment of autonomous
agents and Multi-Agent Systems (MAS) through research on theories, architectures,
languages, platforms, and methodologies. To engage with emerging augmented language
models and agentic systems and build on decades of established MAS engineering
approaches, this 14th edition focuses on Hybrid Agent Architectures and Multi-Agent
Systems. We invite contributions covering the diversity of approaches to engineering
agents and MAS: submissions may focus on established or emerging approaches, as well
as hybrid approaches that integrate the two, exploring, among others, questions such as
how elements from different agent architectures can be combined to create more capable
agents, and how MAS can be designed to ensure interoperability, coordination, and
governance among heterogeneous agents.
8th International Workshop on EXplainable, Trustworthy, & Responsible AI &
Multi‑Agent Systems (EXTRAAMAS 2026)
The International Workshop on EXplainable, Trustworthy, and Responsible AI and Multi-
Agent Systems (EXTRAAMAS) runs since 2019, and is a well-established workshop and
forum. It aims to discuss and disseminate research on explainable artificial intelligence,
with a particular focus on intra/inter-agent(ic) explainability and cross-disciplinary
perspectives. In its 8th edition, EXTRAAMAS 2026 identifies four particular focus topics
with the ultimate goal of strengthening cutting-edge foundational and applied research.
The 8th Games, Agents, and Incentives Workshop (GAIW-26)
Games, Agents and Incentives is a confederated workshop which focuses on agents and
incentives in AI. In particular, it promotes approaches that deal with game theory
(cooperative and non-cooperative), social choice, and agent-mediated e-commerce
aspects of AI systems. The confederated workshop merges multiple workshops that have
been associated with AAMAS in the past, which considered different aspects of the general
interplay between AI and economics including CoopMAS, AMEC, and EXPLORE.
27th International Workshop on Multi-Agent-Based Simulation (MABS 2026)
MABS focuses on the confluence of social sciences and multi-agent systems, with a strong
application/empirical vein, and it emphasizes, (i) exploratory agent-based simulation as a
principled way of undertaking scientific research in the social sciences and (ii) using social
theories as an inspiration for new frameworks and developments in multi-agent systems.
MABS 2026 continues its tradition of fostering cross-fertilisation and innovation in MAS
engineering and complex social and sociotechnical systems modeling. The workshop
encourages submissions in areas such as simulation methodology and tools, simulation
of social and intelligent behaviour, diverse applications, and simulation analytics.
International Workshop on Autonomous Agents and Multi-Agent Systems for Space
Applications (MASSpace)
This workshop aims at disseminating and sharing recent advances in the use of agent-
based and multi-agent-based models and techniques in the Space domain. Indeed, the
use of agent-based and multi-agent systems (MAS) in aerospace and space is gaining
traction, as they offer a promising approach for modeling and solving distributed,
complex and dynamic problems. Sample applications notably include multiple spacecraft
operations and maintenance, onboard-ground coordination, mission simulation, multi-
mission operation, autonomous navigation, and collective robotics.
NEurosymbolic eXplainable trUstworthy Systems (NEXUS)
The opacity of current deep learning models is a major barrier to adoption where
accountability is essential. NEXUS focuses on neurosymbolic reasoning as a foundational
approach to building theory, applications, and tools for well-calibrated and trustworthy
autonomy. This paradigm moves beyond a narrow focus on formal logic, concerning itself
with the integration of deep and reinforcement learning algorithms with a broad spectrum
of structured knowledge.
Workshop on Optimization and Learning in Multi-Agent Systems (OptLearnMAS)
The goal of the workshop is to provide researchers with a venue to discuss models or
techniques for tackling a variety of multi-agent optimization problems. We seek
contributions in the general area of multi-agent optimization, including distributed
optimization, coalition formation, optimization under uncertainty, winner determination
algorithms in auctions and procurements, and algorithms to compute Nash and other
equilibria in games. Of particular emphasis are contributions at the intersection of
optimization and learning. This workshop invites works from different strands of the
multi-agent systems community that pertain to the design of algorithms, models, and
techniques to deal with multi-agent optimization and learning problems or problems that
can be effectively solved by adopting a multi-agent framework.
Rebellion and Disobedience in Artificial Intelligence (RaD-AI)
Should intelligent autonomous agents always obey human commands or instructions? In
some contexts, they should not. Most existing research on collaborative robots and agents
assumes that a “good” agent complies with the instructions it is given and works in a
predictable manner under the consent of the human operator(s) it serves (e.g., it should
never deceive its operator). Our RaD-AI workshop challenges this assumption; we will
reconsider the desired abilities and responsibilities of collaborative agents. For example,
these include exhibiting behavior that attempts appropriate and harm-preventing non-
compliance (e.g., safety constraints in autonomous vehicles or training LLMs to avoid
potentially harmful or norm-violating output), among others. Our agenda will include
accepted submissions that describe novel (and/or survey existing) contributions, or
propose new directions, related to RaD-AI in the context of intelligent social agents,
human-agent interaction, and their societal effects, along with invited talks and other
events. We warmly welcome participation from AAMAS-26 conference attendees!
Strategic Engineering Workshop (SE)
Real-world interactions are messy; Game Theory is rigorous. Historically, connecting the
two required expensive manual modeling. “Strategic Engineering” seeks to automate this
pipeline. We ask: How can LLMs serve as architects, translating everyday scenarios into the
formal structures that Game Theory (GT) and Multi-Agent Systems (MAS) require? If we can
automate the creation of the “world model”, we can unlock the full power of classical GT/
MAS reasoning for any situation. We invite submissions that fuse the generative capabilities
of LLMs with the reasoning power of GT/MAS, creating a new class of agents capable of
navigating complex, strategic environments.
Organizing Committee
AAMAS 2026 General Chairs
• Viviana Mascardi, University of Genova, Italy
• John Thangarajah, RMIT University, Australia
AAMAS 2026 Program Chairs
• Chris Amato, Northeastern University, United States of America
• Louise Dennis, University of Manchester, United Kingdom
AAMAS 2026 Local Chairs
• George A. Papadopoulos, University of Cyprus, Cyprus (Chair)
• Panayiotis Kolios, University of Cyprus, Cyprus (Vice Chair)
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The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026): Last Combo Call for Workshop Papers
February 3rd, 2026 
Daniela Lopez de Luise 1st Workshop on Behavioral and Emotion Analysis through wearable Technology
February 3rd, 2026 Daniela Lopez de Luise Wearable movement and physiology sensors offer lightweight, non-invasive, and ecologically valid means to monitor human activity, affective state, and social behavior. With the rise of commercially deployed devices and new wearable foundation models, opportunities for scalable human behavior analysis continue to grow. However, challenges such as personalized modeling, on-device integration, or multimodal fusion prevail, limiting in-the-wild deployment of wearable devices.
The 1st Workshop on Behavioral and Emotion Analysis through wearable Technology (BEAT) aims to foster collaboration between researchers from various backgrounds (ML, HCI, biomedical engineering) around the topic of wearable devices for human behavioral analysis. The workshop will be held in Kyoto as part of the 20th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2026), taking place on May 25–29, 2026.
Topics of interest include, but are not limited to:
- Machine Learning and computational models for movement and physiological wearables
- Resource efficient and lightweight models
- Multimodal fusion and synchronization strategies
- Methods for irregularly sampled or missing data
- Individual differences, personalization, and context-awareness
- Ethical and privacy-preserving AI in wearable systems
- Novel wearables and applications
- Experimental methods for validation of wearable systems
- Lab-controlled experiments and In-the-wild deployment
- Datasets and Benchmarks
- Responsible data management and user consent
- Applications in Affective Computing / Mobile Health / Action Recognition / Social Interaction / HRI
Submission Details:
(1) Main Track (Original Research): 4 up to 8-pages work
(2) Non-Archival Track (Published Work): 1-page summary
Important Dates:
Main track:
- Paper registration deadline: March 30, 2026
- Paper submission deadline: April 3, 2026
- Notification to authors: April 15, 2026
- Camera-ready paper deadline: April 20, 2026
Non-archival track:
- Summary submission deadline: April 3, 2026
- Notification to authors: April 15, 2026
For more details, please visit our website: https://beat-workshop.github.io/
For further questions, contact us via beat-workshop@googlegroups.com
General Chairs: Louis Simon, Arianna de Vecchi, Cristina Palmero, Felix Dollack, Ting Dang, Mohamed Chetouani
dAIper-Hack in Germany | Industry (Procter & Gamble) + Academia (FAU Erlangen)
February 3rd, 2026 Daniela Lopez de Luise Hackathon: dAIper-Hack in Germany
Friday 24.04. – Sunday 26.04.2026
A hackathon for MSc and PhD students to turn ideas into impact – together we advance Computer Vision
@ Speinshart Monastery, home to the Scientific Center for AI and SuperTech (SSC) in Bavaria
An intensive, hands-on innovation event jointly organized by FAU and P&G.
You will tackle challenging computer vision and AI problems using real-world
industry data.
Over three days we will explore different modern and classical Computer Vision
and AI approaches, and develop creative solutions.
All in close collaboration with researchers and industry experts.
Apply now! https://daiper.tf.fau.eu
(application deadline February 6th)
ACM ICMI 2026: Call for Papers
February 3rd, 2026 Daniela Lopez de Luise 5-9 October 2026, Napoli – Italy
https://icmi.acm.org/2026/
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The 28th International Conference on Multimodal Interaction (ICMI 2026) will be held in Napoli, Italy. ICMI is the premier international forum for advancing research at the intersection of multimodal artificial intelligence (AI) and social interaction to create technically innovative, effective, and human-centered multimodal interactive systems. A unique aspect of ICMI is its multidisciplinary nature, bringing together research in AI, multimodal data processing, human-machine, and human-human interaction to bridge behavioral understanding with technology, with an eye towards impactful applications that benefit people and society.
Novelty will be evaluated along two dimensions: scientific novelty and technical novelty. Accepted papers at ICMI 2026 must demonstrate novelty in at least one of these two dimensions.
The theme of this year's conference is “Context and Cultural Awareness for Multimodal Interaction”, to explore how context and cultural factors influence multimodal interaction systems, including their design, implementation, and evaluation. We welcome papers that address the integration of contextual understanding, such as environmental, social, and emotional factors, into multimodal interaction systems. We also encourage contributions that explore cultural considerations in the development and deployment of interactive technologies.
Topics of interest include, but are not limited to:
* Affective computing and interaction
* User-adaptive systems
* Cognitive modelling and multimodal interaction
* Context-aware modelling
* Cross-cultural design and evaluation
* Gesture, touch, and haptics
* Healthcare, assistive technologies
* Human communication dynamics
* Human-robot/agent multimodal interaction
* Human-centred AI and ethics
* Interaction with a smart environment
* Machine learning for multimodal interaction
* Mobile and wearable multimodal systems
* Multimodal behaviour generation
* Multimodal datasets and validation
* Multimodal dialogue modeling
* Multimodal fusion and representation
* Multimodal interactive applications
* Novel multimodal datasets
* Spoken/visual behaviours in social interaction
* System components and multimodal platforms
* Virtual/augmented reality and multimodal interaction
Commitment to ethical conduct is mandatory, and submissions must adhere to ethical standards, in particular when human-derived data are employed. Authors are encouraged to consult the ACM Code of Ethics and Professional Conduct (https://ethics.acm.org/).
*** Important Dates
Abstract deadline April 13, 2026
Paper Submission April 20, 2026
Rebuttal Period June 1, 2026
Paper notification July 6, 2026
Camera-ready paper July 23, 2026
Presenting at the main conference October 6-8, 2026
*** ACM Publication Policies
ACM's New Open Access Publishing Model. Starting January 1, 2026, ACM will fully transition to Open Access. All ACM publications, including those from ACM-sponsored conferences, will be 100% Open Access. Authors will have two primary options for publishing Open Access articles with ACM: the ACM Open institutional model or by paying Article Processing Charges (APCs). With over 1,800 institutions already part of ACM Open, the majority of ACM-sponsored conference papers will not require APCs from authors or conferences (currently, around 70-75%).
Authors from institutions not participating in ACM Open will need to pay an APC to publish their papers, unless they qualify for a financial or discretionary waiver. To find out whether an APC applies to your article, please consult the list of participating institutions in ACM Open and review the APC Waivers and Discounts Policy. Keep in mind that waivers are rare and are granted based on specific criteria set by ACM.
Understanding that this change could present financial challenges, ACM has approved a temporary subsidy for 2026 to ease the transition and allow more time for institutions to join ACM Open. The subsidy will offer:
* $250 APC for ACM/SIG members
* $350 for non-members
This represents a 65% discount, funded directly by ACM. Authors are encouraged to help advocate for their institutions to join ACM Open during this transition period. This temporary subsidized pricing will apply to all conferences scheduled for 2026, including ICMI.
Artificial Intelligence in Agriculture (AgriAI’26) – IEEE CORE B
January 27th, 2026 Daniela Lopez de Luise We are pleased to invite you to submit your original contributions to AgriAI'26, the 4th edition of the Thematic Session on Artificial Intelligence in Agriculture.
This event will take place within the framework of the 21st FedCSIS 2026, held in Riga, Latvia, August 23-26,, 2026.
Please see the Thematic Session Website: https://2026.fedcsis.org/thematic/agriai/ and the general conference Web page https://2026.fedcsis.org/ .
Paper submission deadline: April 15, 2026
Artificial Intelligence (AI) is increasingly used in agriculture for a variety of uses, from plant disease detection to weeding automation, soil status monitoring, crop prediction, irrigation management, and decreased use of resources for improving quality and productivity. This Thematic Session welcomes contributions related to a wide variety of interdisciplinary research and applications related to the application of intelligence systems in agriculture. AI can, in fact, provide highly positive effects on precision agriculture by optimizing, automating, and forecasting several aspects of farming and revolutionizing the sector, providing helpful information and driving decisions using multiple sources of data and different sensors.
Moreover, in the climate change era, AI can improve sustainability by optimizing resources such as water and soil management as well as fostering novel methods and approaches. We welcome innovative contributions, early results, and position papers addressing one or more of the topics listed below. We intend to foster informal discussions and bring together researchers, practitioners, and industry experts to explore the challenges and opportunities of intelligence systems and agriculture.
We look forward to receiving your submissions and seeing you at the thematic session!
Topics
Papers related to theories, methodologies, and applications in science and technology in the field of AI in Agriculture are especially solicited. Topics covering academic research, applications and lessons learnt are included, but not limited to:
• Computer vision in agriculture
• Signal and image processing in agriculture
• Computational intelligence in agriculture
• Generative AI for Agriculture
• Intelligence systems and decision support in agriculture
• Expert systems & predictive systems
• LLM for AKIS (Agriculture Knowledge Information System)
• AI-based precision agriculture
• Machine learning and pattern recognition
• Federated AI for Agriculture
• IoT, Edge efficient AI & Low-Connectivity ML in agriculture
• Biosecurity & surveillance AI
• Food and livestock management
• Big data
• Water Management
• Remote sensing
• Phenotyping & Genomics
• Uncrewed aerial vehicles
• Autonomous driving in agriculture
• Geospatial AI in agriculture
• Harvesting automation
• Robotics and robotic perception in agriculture
• Digital twins for agriculture
• Data space for agriculture
• AI for biodiversity and sustainable agroecology
• Ethics and social impact of AI on agriculture
• AI-based crowd-sensing and participatory approaches in agriculture
Submission rules
• Authors should submit their papers as Postscript, PDF or MSWord files.
• The total length of a paper should not exceed 12 pages IEEE style (including tables, figures and references). More pages can be added for an additional fee. IEEE style templates are available a the following address: https://2026.fedcsis.org/for_authors/instructions
• Papers will be refereed and accepted on the basis of their scientific merit and relevance to the Topical Area.
• Preprints containing accepted papers will be published online.
• Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore® database.
• Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference website.
• Conference proceedings will be submitted for indexation according to information at the following address: https://2026.fedcsis.org/for_authors/indexation
• Organisers reserve the right to move accepted papers between FedCSIS Sessions.
Thematic Session organizers
• Martinelli Massimo, Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy
• Moroni Davide, Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy
• Procházka Ales, University of Chemistry and Technology & Czech Technical University CIIRC, Prague, Czech Republic
• Charvat Karel, Czech Center for Science and Society, Prague, Czech Republic
Contact: agriai@fedcsis.org
Program Committee ( updating )
• Bacco Manlio, Joint Research Centre, Varese Italy, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
• Barsocchi Paolo, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
• Christopher Brewster, Data Science Dept., TNO, Soesterberg, Netherlands
• Gajinov Senka, DunavNET, University of Donja Gorica, Novi Sad, Serbia
• Pereira de Figueiredo Felipe Augusto, National Institute of Telecommunications, Santa Rita do Sapucaí, Brazil
• Ienco Dino, Territories, Environment, Remote Sensing and Spatial Information, Montpellier, France
• Kosmopoulos Dimitrios, Computer Engineering and Informatics Department, University of Patras, Greece
• Krco Srdjan, DunavNET, University of Donja Gorica, Novi Sad, Serbia
• Loukatos Dimitrios, Agricultural University of Athens, Greece
• Majdik András, Lászlóm, Institute for Computer Science and Control, Budapest, Hungary
• Mildorf Tomas, University of West Bohemia, Pilsen, Czech Republic
• N.N. Misra, Taif University, Saudi Arabia
• Petrovic Veljko, Faculty of Technical Sciences, University of Novi Sad, Serbia
• Peña Barragán José Manuel, Institute of Agricultural Sciences, CSIC, Madrid, Spain
• Rabbani Kashif , Digital Catapult, London, United Kingdom
• Salvetti Ovidio, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
• Scozzari Andrea, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
• Silvestri Nicola, Department of Agricultural, Food and Agro-environmental Sciences, University of Pisa, Italy
• Szczuka Marcin, Institute of Informatics, The University of Warsaw
• Trocan Maria, Institute of Digital Technology, Paris, France
• Zacepins Aleksejs, Faculty of Information Technologies, University of Life Sciences and Technologies, Jelgava, Latvia
• Gajinov Senka, DunavNET, University of Donja Gorica, Novi Sad, Serbia
• Pereira de Figueiredo Felipe Augusto, National Institute of Telecommunications, Santa Rita do Sapucaí, Brazil
• Ienco Dino, Territories, Environment, Remote Sensing and Spatial Information, Montpellier, France
• Kosmopoulos Dimitrios, Computer Engineering and Informatics Department, University of Patras, Greece
• Krco Srdjan, DunavNET, University of Donja Gorica, Novi Sad, Serbia
• Loukatos Dimitrios, Agricultural University of Athens, Greece
• Majdik András, Lászlóm, Institute for Computer Science and Control, Budapest, Hungary
• Mildorf Tomas, University of West Bohemia, Pilsen, Czech Republic
• N.N. Misra, Taif University, Saudi Arabia
• Petrovic Veljko, Faculty of Technical Sciences, University of Novi Sad, Serbia
• Peña Barragán José Manuel, Institute of Agricultural Sciences, CSIC, Madrid, Spain
• Rabbani Kashif , Digital Catapult, London, United Kingdom
• Salvetti Ovidio, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
• Scozzari Andrea, Institute of Information Science and Technologies, National Research Council, Pisa, Italy
• Silvestri Nicola, Department of Agricultural, Food and Agro-environmental Sciences, University of Pisa, Italy
• Szczuka Marcin, Institute of Informatics, The University of Warsaw
• Trocan Maria, Institute of Digital Technology, Paris, France
• Zacepins Aleksejs, Faculty of Information Technologies, University of Life Sciences and Technologies, Jelgava, Latvia
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