Calls for Papers: Special Collections in Artificial Intelligence

Special collections consist of articles on a specific topic, often overseen by a select group of expert Guest Editors. You can highlight your work and enhance your visibility within your field and community by submitting to one of our calls for papers for upcoming collections in Artificial Intelligence.

Calls for Papers - Artificial Intelligence

Collection

Open: 8-Jun-23

Deadline: 29-Feb-24

Recent Advances in Plug-and-Play Methods for Signal, Image and Video Processing: Theory, Algorithms, and Applications

This special issue of the EURASIP Journal on Image and Video Processing invites leading researchers and practitioners in academia and industry to contribute original research on recent theoretical advances, algorithmic developments, and practical applications of the plug-and-play framework.

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Tatiana Gelvez-Barrera, Université de Lyon, Lyon, France; Marcus Carlsson, Centre for Mathematical Sciences, Lund University; Carlos Hinojosa, King Abdullah University of Science and Technology (KAUST); Sayantan Dutta, Weill Cornell Medicine, New York, New York, USA

Springer Open 20 px © Springer Nature 2020

Collection

Open: 28-Feb-23

Deadline: 5-Apr-24

Social and Cognitive Interactions in the Open World

This special issue of the International Journal of Social Robotics focuses on the development of computational tools to advance the robot cognition capability for social and natural human-robot interaction in the open-world. 

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Dr Yiming Wang, Fondazione Bruno Kessler (FBK), Italy; Dr Cigdem Beyan: University of Trento, Italy; Prof Fei Chen, CUHK T-Stone Robotics Institute, The Chinese University of Hong Kong; Dr Séverin Lemaignan, PAL Robotics, Barcelona, Spain; Prof Elisa Ricci, University of Trento, Italy; Dr Alessandra Sciutti: Italian Institute of Technology (IIT), Italy

Springer 20 px © Springer Nature 2020

Collection

Open: 28-Feb-23

Deadline: 1-Mar-24

Knowledge, Learning, Planning, and Human Behavior Modeling for Autonomous Social Robots

This special issue of the International Journal of Social Robotics combines joint action planning and execution, social interaction learning, and knowledge reasoning & representation into a unified architecture for human-robot interaction.

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Ely Repiso, LAAS-CNRS, Toulouse, France; Asst Prof Malcolm Doering, Human-Robot Interaction Laboratory, Kyoto University, Japan; Aurélie Clodic, LAAS, France; Guillaume Sarthou, Institute for Artificial Intelligence, Bremen, Germany; Rachid Alami, LAAS-CNRS, France; Prof Takayuki Kanda, Kyoto University, Japan; Dražen Brščić, Kyoto University, Japan; Prof Michael Beetz, University Bremen Germany; Mona Abdel-Keream, Institute of Artificial Intelligence (IAI), Bremen University, Germany

Springer 20 px © Springer Nature 2020

Collection

Open: 16-Jun-23

Deadline: 14-Mar-24

Resting state functional connectivity in health and disease

This BMC Neuroscience Collection aims to foster a comprehensive exploration of resting state functional connectivity in human cognition, shedding light on its underlying mechanisms and circulating new insights into its role in health and disease.

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Dr Xin Di, New Jersey Institute of Technology, USA; Dr Laura Martin, University of Kansas Medical Center, USA; Dr Yuan Zhou, Institute of Psychology, Chinese Academy of Sciences, China

BMC Logo 20 px © Springer Nature 2020

Collection

Open: 31-May-23

Deadline: 15-Mar-24

Stochastic Configuration Networks with Applications

This collection in Industrial Artificial Intelligence covers various applications of stochastic configuration networks (SCNs) in different domains, including gas flow verification systems, control systems, and industrial data modeling.

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Dianhui Wang, China University of Mining and Technology, China and La Trobe University, Australia; Ivan Tyukin, King's College London, UK; Simone Scardapane, Sapienza University of Rome, Italy

Springer 20 px © Springer Nature 2020

Collection

Open: 10-Nov-20

Deadline: 31-Mar-24

Emerging IoT Applications for Future Smart Cities

This Topical Collection in Discover Internet of Things aims to to attract submissions that cover intelligent solutions and their applications using the IoT framework for future smart cities.

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Dr Pradeep Kumar Singh, ABES Engineering College, India; Dr. Wei-Chiang Samuelson Hong, Oriental Institute of Technology, Taiwan

Springer 20 px © Springer Nature 2020

Collection

Open: 8-Sep-23

Deadline: 31-Mar-24

Unlocking the Potential of Internet of Things through Edge Computing and Artificial Intelligence

This Topical Collection in Discover Internet of Things is soliciting conceptual, theoretical, and experimental contributions to a set of currently unresolved challenges in the area of IoT, while leveraging complementary to IoT paradigms such as Edge Computing, AI, NFV, and 5G and beyond.

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Dr Aris Leivadeas, University of Quebec, Canada; Dr Vasileios Karyotis, Ionian University, Greece

Springer 20 px © Springer Nature 2020

Collection

Open: 26-Sep-23

Deadline: 31-May-24

Artificial Intelligence and Machine Learning in Imaging Science

The primary objective of this collection in Advances in Continuous and Discrete Models is to provide a platform for scholars to disseminate cutting-edge research, innovative methodologies, and insightful findings in the domains of Image Processing, Data Science, Artificial Intelligence, and Machine Learning.

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Michael Ng, Hong Kong Baptist University, China; Stacey Levin, Duquesne University, USA; Xue-Cheng Tai, Norwegian Research Center (NORCE), Norway

Springer Open 20 px © Springer Nature 2020

Collection

Open: 27-Jul-23

Deadline: 1-Apr-24

Holographic MIMO Systems and Applications

This special issue of EURASIP Journal on Wireless Communications and Networking aims to collect top quality research works on this emerging topic, and in particular on the modeling, analysis, and optimization of multi-functional Holographic Multiple-Input Multiple-Output (HMIMO) structures (for reconfigurable transmission, reception, and reflection).

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George C. Alexandropoulos, National and Kapodistrian University of Athens, Greece; Chongwen Huang, College of Information Science and Electronic Engineering, Zhejiang University, China; Chau Yuen, School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore

Springer Open 20 px © Springer Nature 2020

Collection

Open: 10-Jul-23

Deadline: 10-Apr-24

Artificial intelligence in genomics

Communications Biology is interested in submissions that highlight the possibilities offered by AI approaches to improving genomics research, regardless of the model system. Original research articles can report novel methods that involve AI-based algorithms, or focus on specific applications of machine or deep learning to identify or prioritise genes and variants associated with a particular trait.

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Dr Melanie Bahlo, Walter and Eliza Hall Institute of Medical Research, Australia; Dr Kaoru Ito, RIKEN Center for Integrative Medical Sciences, Japan

Nature Research 25 px © Springer Nature 2020

Collection

Open: 23-Oct-23

Deadline: 23-Apr-24

Generative AI for aging research and drug discovery

This npj Aging Collection solicits submissions from groups with expertise spanning machine learning, computational biology, pharmacology, gerontology, and bioinformatics. Specific topics of interest include the deployment of GANs for simulating biological aging processes, the application of VAEs in drug optimization, the utilization of Restricted Boltzmann Machines in the study of cellular senescence; and more.

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Dr Alex Zhavoronkov: Insilico Medicine, Hong Kong, China & The Buck Institute for Research on Aging, Novato, California, USA; Prof Dr Collin Ewald: ETH Zurich, Switzerland; Dr Morten Scheibye-Knudsen: Scheibye-Knudsen Group, Department of Cellular and Molecular Medicine, University of Copenhagen, Denmark; Dr Pavlo Mozharovskyi: Information Processing and Communication Laboratory (LTCI), Télécom Paris, Institute Polytechnique de Paris, France

Nature Research 25 px © Springer Nature 2020

Collection

Open: 27-Oct-23

Deadline: 29-Apr-24

Biomimetics

This exciting Collection in Scientific Reports welcomes all original and novel research in the engineering aspects of biomimetics. We particularly encourage multi- and interdisciplinary submissions which display the prowess of the biologically inspired design approach to engineering.

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Dr Yasemin Ozkan-Aydin, University of Notre Dame, USA; Prof Carole C. Perry, Nottingham Trent University, UK; Dr Mathew Seymour, The University of Hong Kong, China

Nature Research 25 px © Springer Nature 2020

Collection

Open: 18-Apr-23

Deadline: 30-Apr-24

Engineering: AI and IoT in Agriculture: Advances and Applications

This Topical Collection in Discover Applied Sciences invites papers on the following topics: Precision farming and site-specific crop management; Crop yield prediction and monitoring; Livestock monitoring and management; Supply chain optimization and traceability; Climate-smart agriculture and food security; Decision-making tools for agriculture and resource management; Interoperability and integration of AI and IoT in agriculture etc.

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Dr. Manoj Kumar, University of Wollongong in Dubai, United Arab Emirates; Dr. Shashi Bhushan, Amity University Punjab, India

Springer 20 px © Springer Nature 2020

Collection

Open: 19-Oct-23

Deadline: 30-Apr-24

Engineering: Data-driven Quality Prediction through Artificial Intelligence

The goal of this Discover Applied Sciences collection is to bring together the latest research, methodologies, and outstanding applications in the field of data-driven AI-enabled quality prediction. Academics, industry experts, researchers, and practitioners alike are invited to submit state-of-the-art techniques, novel algorithms, theoretical insights, and practical applications in the form of original research papers, reviews, and case studies.

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Prof Tobias Meisen, University of Wuppertal, Germany; Dr Hasan Tercan, University of Wuppertal, Germany

Springer 20 px © Springer Nature 2020

Collection

Open: 1-Nov-23

Deadline: 1-May-24

Machine Learning and Artificial Intelligence for Sustainable Manufacturing Practices

This Topical Collection in Discover Sustainability will encompass a wide range of topics including, but not limited to: AI in resource management; predictive maintenance; eco-friendly manufacturing processes; supply chain optimization; sustainable product design; circular economy in manufacturing; renewable energy integration; expert systems; and decision support systems.

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Dr Raman Kumar, Guru Nanak Dev Engineering College, India; Prof Vladimir Simic, University of Belgrade, Serbia

Springer 20 px © Springer Nature 2020

Collection

Open: 1-Sep-23

Deadline: 31-May-24

Future Navigation

With the rapid growth of artificial intelligence, robotics, and unmanned systems, navigation faces new challenges. Especially in harsh environments like deep space and remote areas, smart navigation is crucial. This special issue in Satellite Navigation will focus on new mechanisms, new methods, new algorithms, new technologies, new hardware, and new applications of future intelligent navigation.

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Prof Jingnan Liu, Wuhan University, Hubei, China; Prof Xiaolin Meng, Beijing University of Technology, Beijing, China; Prof Jian Wang, Beijing University of Civil Engineering and Architecture, Beijing, China; Fangwen Yu, Tsinghua University, Beijing, China

Springer Open 20 px © Springer Nature 2020

Collection

Open: 6-Nov-23

Deadline: 31-May-24

Cognitive Sciences and Their Application in Cybersecurity

This Topical Collection in Discover Artificial Intelligence aims to address the problem of enhancing cybersecurity through the application of cognitive sciences. The collection will explore how recent advances in cognitive sciences can be harnessed to mitigate cyber risks and develop more effective cybersecurity strategies.

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Dr Xianmin Wang, Guangzhou University, China; Dr Jing Li, Guangzhou University, China; Dr Xiaowei Zhang, Qingdao University, China

Springer 20 px © Springer Nature 2020

Collection

Open: 23-Aug-23

Deadline: 31-May-24

Neuroimaging in Autism Spectrum Disorders

The aim of this Collection in Molecular Autism is to tackle challenges of understanding the neurobiology associated with neurodiversity, autism and broader neurodevelopmental conditions in the context of in-vivo neuroimaging of the brain in autistic individuals and broader neurodevelopmental conditions.

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Richard Bethlehem, University of Cambridge, UK; Michael Lombardo, Istituto Italiano di Tecnologia, Italy

BMC Logo 20 px © Springer Nature 2020