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Workshop on Exploring Evolutionary Computation and Deep Learning for Maritime Management Applications - ECDL 2024

20 - 22 November, 2024 - Porto, Portugal

In conjunction with the 16th International Joint Conference on Computational Intelligence - IJCCI 2024


Youcef Djenouri
University of South-Eastern Norway
Brief Bio
Youcef Djenouri is an Associate Professor at University of South-Eastern Norway, and a senior researcher at NORCE (Norwegian Research Center) from 2023. He was a research scientist at SINTEF, and a postdoc researcher at NTNU, and SDU. His research interests include AI, smart city applications, security and privacy. Dr. Youcef Djenouri published more than 150 research papers in top conferences and journals such as CVPR, ICCV, ICDM, ICDE, ACM KDD, IEEE TIST, IEEE TII, IEEE TCYB, and others. He is also in the list of 2% most outstanding researchers according to Stanford statistics. Dr. Youcef Djenouri is an Associate Editor in IEEE Transactions on Computational Social Systems, Neural Processing Letters, Discover AI journal, and Editorial Board in Applied Intelligence. He also organized workshops in top conferences such as ICDM, IJCAI, KDD, DSAA, and PAKDD.
Ahmed Nabil Belbachir
Norwegian Research Center
Brief Bio
Ahmed Nabil Belbachir is a research director at NORCE. He worked at the Department of Computer Science, University of Agder. He holds a Ph.D. in computer science from the University of Vienna, Austria. He has been a PI of several national and one international research projects. His results have been published by prestigious conferences such as CVPR, ECCV, and ICCV.
Anis Yazidi
Brief Bio
Anis Yazidi is currently a full Professor at Oslo Metropolitan University, leading the Research Group in Applied Artificial Intelligence. He is also a Professor II in Data Science with the Norwegian University of Science and Technology (NTNU), Trondheim, Norway, and a Senior Researcher at Oslo University Hospital, Oslo. His current research interests include applied machine learning, reinforcement learning, stochastic optimization, and autonomous computing. He is currently PI from OsloMet in different projects including Horizon 2020 AI-Mind project, and co-director NorSTAR center of excellence on trustworthy and sustainable AI.
Gautam Srivastava
Computer Science, Brandon University
Brief Bio
Assoc. Prof. Dr. Gautam Srivastava was awarded his B.Sc. degree from Briar Cliff University in U.S.A. in the year 2004, followed by his M.Sc. and Ph.D. degrees from the University of Victoria in Victoria, British Columbia, Canada in the years 2006 and 2011, respectively. He then taught for 3 years at the University of Victoria in the Department of Computer Science, where he was regarded as one of the top undergraduate professors in the Computer Science Course Instruction at the University. From there in the year 2014, he joined a tenure-track position at Brandon University in Brandon, Manitoba, Canada, where he currently is active in various professional and scholarly activities. He was promoted to the rank Associate Professor in January 2018. Dr. G, as he is popularly known, is active in research in the field of Data Mining and Big Data. In his 6-year academic career, he has published a total of 20 papers in high-impact conferences in many countries and in high-status journals, and has also delivered invited guest lectures on Big Data at many Taiwanese universities. He is an Editor of several international scientific research journals. He currently has active research projects with other academics in Taiwan, Singapore, Canada and U.S.A. He is constantly looking for collaboration opportunities with foreign professors and students.


This workshop aims to explore the intersection of evolutionary computation and deep learning within the context of maritime management. Participants will gain insights into how these advanced computational techniques can address complex challenges in the maritime industry, including optimization of shipping routes, predictive maintenance, and vessel tracking. Attendees will learn to apply evolutionary algorithms and deep learning models to real-world maritime problems, fostering innovation and efficiency in maritime operations.


Topics of interest include, but are not limited to:
  • Genetic Algorithms for Optimizing Shipping Routes
  • Evolution Strategies for Resource Allocation in Maritime Logistics
  • Genetic Programming for Predictive Maintenance of Maritime Equipment
  • Co-Evolutionary Algorithms for Collaborative Vessel Routing
  • Deep Learning for Vessel Detection and Classification
  • Generative Adversarial Networks for Anomaly Detection in Maritime Operations
  • Deep Learning for Environmental Monitoring and Hazard Prediction¬†
  • Combining Deep Learning and Evolutionary Computation for Real-time Decision-making¬†
  • Case Studies on the Implementation of Hybrid Approaches in the Maritime Industry
  • Case Studies on the Use of Evolutionary Computation and Deep Learning for Improving Maritime Safety


Paper Submission: September 20, 2024
Authors Notification: October 4, 2024
Camera Ready and Registration: October 14, 2024


Available soon.


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the workshop program committee, all accepted papers will be published in the workshop proceedings book, under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).


IJCCI Workshops - ECDL 2024