• This special INNS-sponsored workshop aims to explore innovations and applications of deep Learning and bring together academic researchers and industry professionals. Authors will be invited to submit a paper in the second edition of the INNS workshop series in Procedia Computer Science (open access). 

      Topics for the workshop include:

      • Deep Learning Applications in the areas such as healthcare, finance, education, visual recognition, entertainment, personalisation, fraud detection, autonomous driving, bioinformatics and others
      • Graph Neural Networks
      • Reinforcement learning
      • Generative Neural Networks
      • Deep Neural Networks for computer vision
      • Deep Neural Networks for natural language processing
      • Deep leaning and ethics
      • Explainability and emerging issues

      The workshop participation will be online with links to the presentations and abstracts of the accepted papers.


      Important Dates

      Camera-ready upload:  15 June 2025
      Workshop dates: 30 June - 5 July 2025 


      Submission Guidelines

      Authors must follow the submission guidelines found on the Elsevier website. Contributions should have 8 - 10 pages, references included.

      Submission process will be via a dedicated link that will be confirmed by email to the corresponding authors of the accepted papers.

    • The SIREN workshop explores how Artificial Intelligence can tackle critical social challenges. By bridging advanced AI research with practical applications, the event encourages the development of impactful solutions that benefit society. 

      • Giovanni Di Gennaro

        Università della Campania Luigi Vanvitelli

      • Amedeo Buonanno

        ENEA

      • Anna Esposito

        Università della Campania “Luigi Vanvitelli”

      • Francesco A.N. Palmieri

        Università degli Studi della Campania “Luigi Vanvitelli”

      • Gennaro Cordasco

        Università della Campania “Luigi Vanvitelli”

      • Eros Pasero

        Politecnico di Torino

    • The COP29 Declaration on Green Digital Action highlights the critical role of digital technologies in combating climate change. The workshop will focus on multiple applications of neural networks within environmental science and sustainable development. 

      • Maria Sofia Bucarelli

        Sapienza University of Rome

      • Francesco Caso

        Sapienza University of Rome

      • Andrea Drago

        Sapienza University of Rome

      • Christian Giannetti

        Sapienza University of Rome

      • Pietro Lió

        University of Cambridge

      • Andrea Marinoni

        UiT the Arctic University of Norway and University of Cambridge

      • Fabrizio Silvestri

        Sapienza University of Rome

    • "We are pleased to announce a workshop dedicated to exploring the latest advancements in Artificial Intelligence (AI), with a particular emphasis on its applications in education. 

      • Zenglin Xu

        Fudan University

      • Petia Georgieva

        University of Aveiro

      • Danimir Mandić

        University of Belgrade

      • Qingsong Wen

        Squirrel AI

      • Danilo Mandic

        Imperial College London

      • Irwin King

        The Chinese University of Hong Kong

    • The AI Policy and Regulation workshop responds to the imminent global AI policy and regulatory changes that have profound implications for AI and Neural Networks research and industry deployment.

      • Asim Roy

        University of Arizona

      • Nicola Fabiano

        Ostrava University / United Nations University

      • Amanda Horzyk

        University of Edinburgh

      • Maja Nisevic

        KU Leuven Centre for IT & IP Law (CiTiP

    • AIMB workshop addresses the transformative potential of artificial intelligence (AI) and neural networks (NNs) in healthcare and life sciences, focusing on the development of specialized techniques for complex biological data. 

      • Giovanni Cicceri

        University of Palermo

      • Marta Lovino

        University of Modena and Reggio Emilia

      • Salvatore Vitabile

        University of Palermo

      • Jana Pavlíková Přecechtělová

        Charles University

      • Giansalvo Cirrincione

        University of Picardie Jules Verne

    • On-device training using edge compu+ng allows intelligent devices to learn autonomously while improving latency and security. 

      • Fabrizio De Vita

        University of Messina

      • Luca Patanè

        University of Messina

      • Dario Bruneo

        University of Messina

    • The AICI workshop will focus on recent applications of AI techniques in Critical Infrastructure research, education and innovation for development, operations, and management, specifically focused on: AI for modelling critical infrastructure systems, AI for control and operations, AI for critical infrastructure optimization.The panelist, mainly from industry, will present the ongoing activities in the AICI. 

      • Ganesh Kumar Venayagamoorthy

        Clemson University

    • The neural network and Bayesian machine learning communities have historically struggled to come together due to philosophical differences and different metrics of success. 

      • Davide Bacciu

        University of PIsa

      • Daniele Castellana

        University of Firenze

      • Federico Errica

        NEC

      • Mathias Niepert

        University of Stuttgart / IMPRS-IS

      • Marco Podda

        University of Pisa

      • Olga Zaghen

        University of Amsterdam

    • The "Computational Intelligence for Sustainable Energy Management in Microgrids and Renewable Energy Communities (CISEM 2025)" workshop addresses sustainable energy challenges by applying computational intelligence methods such as machine learning, evolutionary algorithms, and deep learning. 

      • Antonello Rizzi

        Sapienza University of Rome

      • Enrico De Santis

        Sapienza University of Rome

      • Antonino Capillo

        Sapienza University of Rome

    • Biometrics has become a burgeoning research area due to the industrial and government needs for recognition, security, and privacy concerns. 

      • Larbi Boubchir

        University of Paris 8

      • Boubaker Daachi

        University of Paris 8

    • Smart Grids are critical infrastructures to improve energy efficiency, and as they become increasingly complex, the need for advanced methods to monitor, analyze, and optimize them has never been more pressing. 

      • Giulia Tanoni

        Università Politecnica delle Marche

      • Djordje Batic

        University of Strathclyde

      • Stavros Sykiotis

        National Technical University of Athens

      • Emanuele Principi

        Università Politecnica delle Marche

      • Lina Stankovic

        University of Strathclyde

      • Vladimir Stankovic

        University of Strathclyde

      • Anastasios Doulamis

        National Technical University of Athens

    • The rapid evolution of Smart Eyewear technology holds the potential to revolutionize daily life by seamlessly integrating artificial intelligence into wearable devices. 

      • Francesca Palermo

        EssilorLuxottica

      • Simone Mentasti

        Politecnico di Milano

      • Giulio Marano

        EssilorLuxottica

      • Alberto Pettenella

        EssilorLuxottica

      • Hazem Hesham Yousef Shalby

        Politecnico di Milano

      • Manuel Roveri

        Politecnico di Milano

      • Luca Merigo

        EssilorLuxottica

      • Diana Trojaniello

        EssilorLuxottica

      • Matteo Matteucci

        Politecnico di Milano

    • As AI and ML technologies evolve, the environmental and energy costs associated with training large-scale models have become a growing concern. 

      • Dipanwita Thakur

        University of Calabria

      • Antonella Guzzo

        University of Calabria

      • Lalit Garg

        University of Malta

      • Susmita Ruj

        University of North South Wales

      • Arindam Pal

        Department of Operations Research and Data Science Optym

    • The "Forging Trust in Artificial Intelligence" workshop focuses on enhancing AI trustworthiness through transparency, fairness, and privacy.

      • Alexandros Iosifidis

        Tampere University

      • Nistor Grozavu

        Cergy Paris University

      • Aikaterini Tzompanaki

        Cergy Paris University

      • Corina Besliu

        Technical University of Moldova

      • Nicoleta Rogovschi

        Paris Descartes University

    • The workshop delves into the convergence point between neural networks and the analysis of human behavior—focusing particularly on methodologies that shift from perceptual processes to predictive analytics. 

      • Vincenzo Dentamaro

        University of Bari Aldo Moro

      • Donato Impedovo

        University of Bari Aldo Moro

    • The workshop delves into advanced deep learning solutions for biomedical data analysis, promoting personalized medicine and digital prevention. 

      • Francesco Prinzi

        University of Palermo

      • Giovanna Maria Dimitri

        University of Siena

      • Salvatore Vitabile

        University of Palermo

      • Pietro Lió

        University of Cambridge

    • The Workshop aims at providing concrete and original insights on quantum neural methods based on the current available technology in the Noisy Intermediate-Scale Quantum (NISQ) era, as quantum computing can potentially bring a disruptive innovation in the Computational Intelligence field, tackling problems from healthcare and bioinformatics to finance and cybersecurity, more in general for the modeling and control of real-world complex systems.

      • Massimo Panella

        Sapienza University of Rome

      • Stefano Giagu

        Sapienza University of Rome

    • The "Robust AI in Healthcare" workshop explores strategies for developing safe, reliable, and efficient AI models for healthcare. It also helps to bridge the gap between AI research and practical deployment in healthcare. 

      • Despina Kontos

        Columbia University Irving Medical Center

      • Seyedmehdi Payabvash

        Columbia University Irving Medical Center

      • Junhao (Hao) Wen

        Columbia University Irving Medical Center

      • Anh Tuan Tran

        Columbia University Irving Medical Center

    • Saliency prediction, an important domain in machine learning and cognitive neuroscience, plays a crucial role in crafting intelligent systems that emulate human attention. 

      • Morteza Moradi

        University of Catania

      • Isaak Kavasidis

        University of Catania

      • Ali Borji

        Quintic AI

      • Olivier Le Meur

        InterDigital

      • Dan Guo

        Hefei University of Technology

    • Graph learning plays a pivotal role in modern AI, enabling the management of massive graphs, extracting insights from complex relationships, and enhancing model interpretability and fairness. 

      • Wissem Inoubli

        University of Artois

      • Haithem Mezni

        Taibah University

      • Sabeur Aridhi

        University of Lorraine

      • Engelbert Mephu Nguifo

        University Clermont Auvergne

    • SusAI workshop aims at gathering researchers to present new trends and highlight new ideas about sustainable AI. In particular, it will present approaches, both at the training and at the inference levels, for obtaining lighter models, requiring less energy for training and/or usable on edge devices. 
       

      • Massimo Esposito

        National Research Council (CNR)

      • Francesco Gargiulo

        National Research Council (CNR)

      • Aniello Minutolo

        National Research Council (CNR)

      • Marco Pota

        National Research Council (CNR)

    • Neurosymbolic AI is a new growing trend that has been able to merge the recent advances in AI through deep learning with logic and rule-based methods. 

      • Angelo Ciaramella

        University of Naples Parthenope

      • Le Hoang Son

        Vietnam National University

      • Emanuel Di Nardo

        University of Naples Parthenope

      • Alessio Ferone

        University of Naples Parthenope

      • Antonio Maratea

        University of Naples Parthenope

      • Ihsan Ullah

        University of Galway

      • Paola Barra

        University of Naples Parthenope

      • Lorenzo Di Rocco

        Sapienza University of Rome

    • This workshop addresses the rising challenges of AI-generated content and deepfakes by exploring advancements in multimedia forensics, deepfake detection, adversarial machine learning, AI-generated media attribution, multimodal analysis. 

      • Mauro Barni

        University of Siena

      • Irene Amerini

        Sapienza University of Rome