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Upcoming Partner Conferences (6)

30 May–3 June 2022 The 12th IEEE Workshop on Parallel/Distributed Combinatorics and Optimization (PDCO 2022)

Lyon, France

IEEE PDCO 2022, Lyon France will be the 12th edition of our Workshop. It will be held in conjunction with the 36th IEEE International Parallel and Distributed Processing Symposium. The Workshop PDCO comes from the merging of Workshop Parallel Computing and Optimization (PCO) and Workshop Nature Inspired Distributed Computing (NIDISC). The previous editions of the Workshop PDCO were held in Anchorage, USA 2011, Shanghai, China 2012, Boston, USA 2013, Phoenix, USA 2014, Hyderabad, India 2015, Chicago, USA 2016, Orlando, USA 2017, Vancouver, Canada 2018, Rio de Janeiro, Brasil 2019, New Orleans, USA 2020, and Portland, USA 2021. This series of Workshops has been very successful in recent years, with many attendees and prestigious Keynote speakers, such as Laurence T. Yang, Dimitri Bertsekas, Alex Pothen, Keqin Li, Frédéric Vivien and Anne Benoit.

Scope:

The IEEE Workshop on Parallel/Distributed Combinatorics and Optimization aims to provide a forum for scientific researchers and engineers to report on recent advances in the field of parallel or distributed computing for difficult combinatorial optimization problems, such as 0-1 multidimensional knapsack problems, cutting stock problems, scheduling problems, large-scale linear programming problems, nonlinear optimization problems and global optimization problems. Emphasis is placed on new techniques for the solution of these difficult problems, such as cooperative methods for integer programming problems. Techniques based on metaheuristics and nature-inspired paradigms are considered. Aspects related to Combinatorial Scientific Computing (CSC) are considered. In particular, we are soliciting submissions of original manuscripts on sparse matrix computations, graph algorithm and original parallel or distributed algorithms. The use of new approaches in parallel and distributed computing, such as GPU, MIC, FPGA, and volunteer computing, are considered. Applications to cloud computing, planning, logistics, manufacturing, finance, telecommunications and computational biology are considered.

Topics:

  • Integer programming; linear programming; nonlinear programming.
  • Exact methods; heuristics.
  • Parallel algorithms for combinatorial optimization.
  • Parallel metaheuristics.
  • Parallel and distributed computational intelligence methods (e.g., evolutionary algorithms, swarm intelligence, ant colonies, cellular automata, DNA and molecular computing) for problem-solving environments.
  • Parallel and distributed metaheuristics for optimization (algorithms, technologies and tools).
  • Applications combining traditional parallel and distributed computing and optimization techniques as well as theoretical issues (convergence, complexity).
  • Distributed optimization algorithms.
  • Parallel sparse matrix computations, graph algorithms, load balancing.
  • Hybrid computing and the solution of optimization problems.
  • Peer-to peer computing and optimization problems.
  • Applications: cloud computing; planning; logistics, manufacturing; finance; telecommunications.
Workshop Website:

https://pdco2022.sciencesconf.org/

22–24 June 2022 10th IFAC Manufacturing Modelling, Management and Control Conference (MIM 2022)

Nates, France

MIM 2022 is one of the largest worlwide conferences matching industrial and manufacturing engineering, supply chain and operations management, computer science, robotics and automation, artificial intelligence, decision science and operations research.

The aim of this conference is to bring together researchers and practitioners to present and discuss emerging topics in modern decision aid theory, manufacturing modeling, management, and control. MIM’2022 will follow a rich tradition of previous IFAC conferences and symposia in Manufacturing and Logistics held in France. IFAC MIM’2022 will focus in particular on the most innovative methods proposed in the last few years in the context of applications of artificial intelligence in industry, taking into account the role of new technologies (e.g., blockchains, IoT, edge computing) and emerging scientific domains (e.g., big data, analytics, risk management) in the production management and control. In addition, many other related topics will be considered, e.g., human-centric production, optimization under specific workforce constraints, explainability and ethics in decision aid models, human–machine interaction issues, generative design approaches, etc., and their place in new decision aid tools in industry.

https://hub.imt-atlantique.fr/mim2022/

27–30 June 2022 The Third Workshop on Intelligent Cross-Data Analytics and Retrieval (ICDAR 2022)

Newark, NJ, USA

Data play a critical role in human life. In the digital era, where data can be collected almost anywhere, at any time, and by anything, people can own a vast volume of real-time data reflecting their living environment in various granularities. From these data, people can extract the necessary information to gain knowledge towards becoming informed. As data do not come from a sole source, they only reflect a small part of the massive puzzle of life. Hence, the more pieces of data that can be collected and filled into the canvas, the faster the puzzle can be solved. If we consider a puzzle piece to be single-modal data, the puzzle becomes a multimodal data analytic problem. If we consider a group of puzzle pieces assembled as a segment of the puzzle to be one domain (e.g., a mountain, house, or animal), the puzzle game becomes a multi-domain problem. If we consider a 3D puzzle game, it becomes a multi-platform problem. Finally, bidirectional mapping between puzzle pieces and the frame (e.g., a sample picture of a puzzle) during the game can be considered as a cross-data/domain/platform problem. In other words, we can use a set of data (i.e., multimodal data) from certain domains with analytic models built on one platform to infer (e.g., predict, interpolate, or query) data from another domain(s) and vice versa. We have witnessed the rise of cross-data against multimodal data problems recently. The cross-modal retrieval system uses a textual query to look for images; some examples of this research direction include: the air quality index can be predicted using lifelogging images; congestion can be predicted using weather and tweets data; daily exercises and meals can help to predict sleeping quality. Although vast investigations focusing on multimodal data analytics have been developed, few cross-data (e.g., cross-modal data, cross-domain, or cross-platform) research has been carried out. In order to promote intelligent cross-data analytics and retrieval research and to bring about a smart, sustainable society for human beings, this specific article collection on "Intelligent Cross-Data Analysis and Retrieval" is introduced. This research topic welcomes those who come from diverse research domains and disciplines such as well-being, disaster prevention and mitigation, mobility, climate change, tourism, healthcare, and food computing.

Example topics of interest include, but are not limited to the following:

  • Event-based cross-data retrieval data mining and AI technology.
  • Complex event processing to link sensor data from individuals and regions to broad areas dynamically.
  • Transfer learning and transformers.
  • Hypotheses development of the associations within heterogeneous data.
  • The realization of a prosperous and independent region in which people and nature coexist.
  • Applications leverage intelligent cross-data analysis for a particular domain.
  • Cross-datasets for repeatable experimentation.
  • Federated analytics and federated learning for cross-data.
  • Privacy–public data collaboration.
  • Integration of diverse multimodal data.

https://www.xdata.nict.jp/icdar_icmr2022/index.html

18–19 July 2022 ASMO-UK 12 / ASMO-Europe 1 / ISSMO Conference on Engineering Design Optimization

Leeds, UK

We are re-launching the ASMO-UK/ISSMO series of conferences in the new series ASMO-Europe to provide an opportunity for researchers and practitioners in multi-disciplinary optimisation from within and outside Europe to get together and share their experiences within a growing community.

We encourage you to attend and present your current research. Application papers are particularly welcome.

Conference topics include, but are not limited to:

  • constraint handling (manufacturing constraints, non-constant constraints etc.);
  • design of experiments, sampling techniques;
  • design, package, cost or process optimisation;
  • distributed computing in design optimisation;
  • education in engineering optimisation;
  • fluid optimisation;
  • industrial applications (all fields);
  • integration of optimisation in the design and manufacturing process;
  • inverse problems;
  • meta-modelling, surrogate models;
  • multi-disciplinary/multi-physics optimisation;
  • multi-objective optimisation;
  • numerical aspects of optimisation;
  • optimisation algorithms;
  • optimisation for MEMS, nanotechnology, etc.;
  • optimisation under uncertainty, noise;
  • reliability and robust design optimisations;
  • sensitivity analysis;
  • structural optimisation (FEM, BEM, MBS etc.);
  • topology, shape and sizing optimisation.

Visit the conference website and submit your abstract here:

 

https://tinyurl.com/ASMO2022

13–15 October 2022 The 4th International Conference on Intelligent Systems for Cyber Threat Intelligence (ICISCTI 2022)

Marrakech, Morocco

The International Conference on Intelligent Systems for Cyber Threat Intelligence, organized by The African Research Center for IT and Cybersecurity, Morocco, will be held on 13–15 October 2022. The ICISCTI 2022 Conference aims to unite researchers in the field of big data analytics and intelligent systems for cyber threat intelligence CTI and key data to enable them to collaborate to advance the anticipation, prohibition, prevention, preparation and response to internal security.

The ICISCTI 2022 Conference targets a mixed audience of researchers, academics and investigators from various communities to encourage them to share and exchange novel ideas, approaches, theories and practices to aid in resolving the challenging issues associated with the leveraging of big data analytics and intelligent systems for cyber threat intelligence.

https://iciscti.com

12–15 December 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA 2022)

Nassau, Bahamas

IEEE ICMLA'22 aims to unite researchers and practitioners to present their latest achievements and innovations in the area of machine learning (ML).

The conference provides a leading international forum for the dissemination of original research on ML, with emphasis on its applications, as well as novel algorithms and systems. Following the success of previous ICMLA conferences, this conference aims to attract researchers and application developers from a wide range of ML-related areas, and the recent emergence of big data processing has introduced an urgent need for machine learning to address these new challenges. The conference will cover both theoretical research regarding ML, as well as its applications. Contributions describing ML techniques that have been applied to real-world problems, and interdisciplinary research involving ML, in fields such as medicine, biology, industry, manufacturing, security, education, virtual environments, and games, are especially encouraged.

https://www.icmla-conference.org/icmla22/

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