Rationale and Scope
This Special Issue will feature high quality papers from TAMC 2025, focusing on algorithm design, computational complexity, and interdisciplinary applications. Key topics include:
These topics align with JOCO's mission to advance algorithmic theory and its practical impact. The issue bridges foundational research and real world challenges in emerging technologies.
Guest Editors
Dr. Donglei Du
University of New Brunswick, Canada
Fields of Interest: Operations Research, Approximations algorithms, Machine Scheduling
Homepage: https://www.unb.ca/faculty-staff/directory/management/du-donglei.html
Dr. Donglei Du is a professor in Quantitative Method and Quantitative Investment Management at the Faculty of Management (FOM), University of New Brunswick (UNB), Canada. His main research interests are Quantitative Investment Management, Quantitative Finance, FinTech (Blockchain and cryptocurrencies) Operations Research, Algorithmic trading, Combinatorial Optimization, Approximations algorithms, Robust optimization, Social Network Analysis, Algorithmic Game Theory, Supply Chain Management, Facility Location, and Machine Scheduling. Dr. Du's publications have appeared in top-tier journals, including Operations Research, Algorithmica, SIAM Journal on Discrete Mathematics, European Journal of Operation Research and Omega. He received several awards from UNB at both the university and faculty levels, including the University Research Scholar (UNB, 2014), University Merit Award (UNB, twice, 2006 and 2012), Excellence in Research Award (FBA, 2007), and Annual Research Award (FBA, 2004).
Dr Min Li
Shandong Normal University, Jinan, China
Fields of Interest: Approximation Algorithms, Submodular Optimization
Homepage: http://www.maths.sdnu.edu.cn/info/1831/32371.htm
Dr. Min Li is a professor at Shandong Normal University, specializing in approximation algorithms, submodular optimization, and integer programming. She has published over 40 SCI/EI papers in top journals and conferences such as Journal of Global Optimization and Theoretical Computer Science. With extensive experience leading research projects and serving as a reviewer for Mathematical Reviews, she brings both academic expertise and editorial insight to this special issue.
Dr Mingji Xia
Institute of Software, Chinese Academy of Sciences, Beijing, Ch
Fields of Interest: Computational Complexity, Holographic Algorithms
Homepage: https://people.ucas.ac.cn/~xiamingji#%20303524
Dr. Mingji Xia is a researcher at the Institute of Software, Chinese Academy of Sciences, specializing in computational complexity and counting problems. He earned his Ph.D. from ISCAS in 2008 and conducted postdoctoral research at the Max Planck Institute. His work on Holant problems, holographic algorithms, and tensor networks has been published in top journals and conferences like SIAM Journal on Computing and STOC. Dr. Xia’s expertise spans theoretical computer science and its applications, making him a qualified contributor to this special issue
The 30th International Computing and Combinatorics Conference (COCOON 2024) will be held in Shanghai, China during August 23-25, 2024. Original research papers in the areas of algorithms, theory of computation, computational complexity, and combinatorics related to computing are solicited. In addition to theoretical results, we are particularly interested in submissions that report on experimental and applied research of general algorithmic interest. Special consideration will be given to research that is motivated by real-world problems. Experimental and applied papers are expected to show convincingly the usefulness and efficiency of the algorithms discussed in a practical setting.
Topics of interest
The topics include, but are not limited to:
• Algorithms and Data Structures
• Algorithmic Game Theory and Online Algorithms
• Automata, Languages, Logic, and Computability
• Combinatorics Related to Algorithms and Complexity
• Complexity Theory
• Computational Learning Theory and Knowledge Discovery
• Cryptography, Reliability, Security, and Database Theory
• Computational Biology and Bioinformatics
• Computational Algebra, Geometry, and Number Theory
• Graph Drawing and Information Visualization
• Communication Networks, and Optimization
• Parallel and Distributed Computing
We particularly encourage submissions in emerging topics of high importance such as algorithms, data structures, machine learning, quantum computing, computational social science, blockchain, cyber-physical systems, bio-inspired computing, and human-computer interaction.
Important Dates
• Paper Submission Due: Apr. 8, 2024 (AoE)
• Author Notification: May. 25, 2024 (AoE)
• Camera-Ready: Jun.10, 2024 (AoE)
• Conference Date: Aug.23 - Aug.25, 2024
*All deadlines expire on 23:59 AoE (UTC - 12)
Paper Submission
The conference proceedings of COCOON 2024 will be published by Springer in Lecture Notes in Computer Science (LNCS). The submission should contain scholarly exposition of ideas,
techniques, and results, including the motivation and a clear comparison with related work. The length of the submission should not exceed 12 pages in LNCS style (including references, but excluding the optional appendix).
Submitted papers must describe work not previously published. They must not be submitted simultaneously to any other conference with refereed proceedings or to journals. We regard the following case as a simultaneous submission. Submission of drafts which contain the essentially same results from papers under review in other conferences or journals at the moment of the submission. Only electronic PDF submission will be allowed via the Springer Online Conference System. Please check conference webpage for more details.
The submitted papers will be reviewed in a double-blind peer review manner.
The submission server is now available at https://equinocs.springernature.com/service/cocoon2024.
Guest Editors: Reneta Barneva (SUNY at Fredonia, USA) and Tibor Lukić (University of Novi Sad, Serbia)
Submission Deadline: October 15, 2020
The main objective of this special issue is to stimulate researchers to advance the theory of combinatorial optimization and its implementation in developing novel machine intelligence for imaging sciences. Authors are expected to propose original ideas and develop new techniques, structural results, and algorithms that improve researchers’ ability to solve practical problems.
© Springer Science+Business Media, LLC, part of Springer Nature
