IEEE student branch of Macau University of Science and Technology


Dr. Jinyu TIAN

Assistant Professor in Macau University of Science and Technology

Personal Bio:

Jinyu Tian is currently an Assistant Professor at the Faculty of Innovation Engineering, at Macau University of Science and Technology. He received his Ph.D. degree from the Faculty of Science and Technology, University of Macau, Taipa, China. Before this, he received B.S. and M.S. degrees in mathematics from Chongqing University, Chongqing, China, in 2014 and 2017, respectively. His current research interests include adversarial machine learning, security of deep learning, and subspace learning. He has authored/co-authored over 10 scientific papers in international journals and conferences, such as TIP, TNNLS, AAAI, and CVPR. He is a regular reviewer of extensive journals and conferences, such as TIP, TMM, ACM MM, and CVPR.

Workshop Committee Members:

Dr. Rui Zhao The University of Hong Kong

Dr. Lei Chen National University of Singapore

Dr. Zhe Chen The University of Hong Kong

Dr. Muting Wang City university of Hong Kong

Call for Papers:

The main goal of the seminar “Urban Intelligence: Machine Learning in Smart City Solutions” is to foster a profound exchange of ideas and discussions centered around the integration of machine learning and artificial intelligence in smart city projects. This seminar is designed to address the core challenge of growing environmental stress in urban settings, such as pollution, energy consumption, and waste management, which collectively threaten public health, urban sustainability, and quality of life. Participants are encouraged to submit research papers focusing on topics like machine learning for smart city applications, Internet of Things, blockchain technology, smart sensing, deep learning algorithms in the smart city, smart city applications and case studies, and digital twin applications. Both students and faculty members are welcome to participate in the dicussions and presentations. The seminar format will prioritize interactive discussions and debates, creating an environment conducive to the development of future research ideas. This seminar presents an unparalleled opportunity for those interested in exploring and navigating the forefront of urban technological progress and aims to equip urban planners, policymakers, and researchers with the insights and tools needed for informed decision-making on environmental policies and initiatives.


  • Internet of Things (IoT)
  • Connected Devices
  • Smart Technology
  • Data Analytics
  • IoT Applications
  • Sensor Networks
  • Artificial Intelligence (AI)
  • Innovation
  • Future Trends
  • Hands-on Experience

Scope and Information for Participants

  1. Machine learning for smart city and applications
  2. Internet of things and applications
  3. Blockchain technology for smart city and applications
  4. Smart sensing and applications
  5. Deep learning algorithms and optimization in the smart city
  6. Smart city Applications and Case Studies
  7. Digital Twin for smart city and applications


AI's capabilities to boost efficiency, sustainability, and living standards in cities. This cutting-edge technology empowers the analysis of extensive data from urban sensors, social media, and city records, facilitating predictive analytics for traffic control, energy conservation, public safety enhancements, and tailored public services.

Urban Futures: Leveraging Machine Learning for Smart Cities" seminar is poised to meet the critical demand for experts capable of applying machine learning to tackle sophisticated urban issues. Aimed at individuals with a foundational understanding of AI, this seminar is guided by veterans in smart city innovations and machine learning.

It offers a succinct yet comprehensive curriculum that blends theoretical insights with real-world case studies, providing attendees with the knowledge and tools to revolutionize urban areas.

By engaging with ongoing smart city initiatives, participants will be prepared to drive forward the creation of more sustainable and efficient urban landscapes.

This workshop presents an unparalleled chance for those looking to navigate the forefront of urban technological progress.


The core challenge this research topic aims to address is the growing environmental stress in urban settings, encompassing pollution, energy consumption, and waste management, which collectively threaten public health, urban sustainability, and quality of life.

The application of machine learning (ML) and artificial intelligence (AI) in urban development offers a strategic pathway to mitigate these environmental issues. Recent advancements in AI and ML, such as enhanced algorithms for predictive analytics, sophisticated data processing techniques, and automated systems for efficient resource management, have opened new avenues for smart environmental solutions in cities. These technologies enable precise monitoring and analysis of environmental data, predictive modeling for pollution levels, optimized energy usage across urban infrastructures, and improved waste collection and recycling processes.

The research will concentrate on formulating and evaluating advanced ML models capable of interpreting complex urban environmental data, aiming to equip urban planners and policymakers with the insights needed for informed decision-making on environmental policies and initiatives. Through this, the research aspires to contribute to the development of smart, sustainable cities where environmental integrity is preserved for future generations.


Prospective authors are kindly invited to submit full papers that include title, abstract, introduction, tables, figures, conclusion and references. It is unnecessary to submit an abstract in advance. The deadline for general submission is June 2nd, 2024.

Each paper should be no less than 4 pages. One regular registration can cover a paper of 6 pages, and additional pages will be charged. Please format your paper well according to the conference template below before submission.

Paper Template

Please prepare your paper in both .doc/.docx and .pdf format and submit your full paper by email with both formats attached directly to

Workshop Date

June 5th, 2024

Submission & Payment

Type Regular Submission
Paper Submission June 2, 2024
Review Process 2 weeks
Revise & Acceptance 2 weeks
Registration & Payment 2 weeks


Items Amount(VAT Included)
Registration and Publishing Fee(6 pages included) $500
Additional Page $40/extra page


Accepted papers of this workshop will be published in IOP Journal of Physics: Conference Series (Print ISSN: 1742-6588) or Applied and Computational Engineering (Print ISSN: 2755-2721), and will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Inspec, Google Scholar, CNKI, and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.



Besides the onsite meeting, this workshop also holds a poster session which allow for a larger number of authors to share their research. The poster session will provide an opportunity for researchers to present their work in a visual and interactive way, allowing for more engagement and discussion with other attendees. Authors of qualified papers will be invited to present their works with digital posters. We believe that this online poster session will still be a great platform for participants to share, discuss, and cooperate.

All accepted authors will receive an invitation email to present a poster at this workshop. Please note that all poster presenters must submit the poster before June 3, 2024.

Guidelines for Poster Presentation

  1. Poster presentations must be prepared using the template provided:
  2. *Poster layout template for poster presentation (download)
  3. *Poster layout background (download)
  4. Posters should generally be in A1 size (width: 594mm x height: 841mm) and include the followings:
  5. Title, author and co-author names, and the affiliation(s) information.
  6. Body parts, including "Abstract", "Introduction", "Methods", "Results", "Discussion" and "Conclusions".
  7. Presenters are suggested to set the font size properly and avoid placing anything at the margin part of the poster as it will be difficult to view.
  8. Posters should be well illustrated. All the pictures used should be high quality and with high resolution.
  9. All the posters will be displayed online on the official website. Each poster will have both a small thumbnail and a full-size version.
  10. Posters will be displayed during the online session. After the presentation is over, the full-size version of all posters will become invisible. But thumbnails still can be seen on the website.

(You can refer to the instructions for more detailed information. Additional presentation guidelines may be announced by workshop committees.)


On June 5, 2024, a seminar entitled “Urban Intelligence: Machine Learning in Smart City Solutions” was held at the Macau University of Science and Technology (MUST) in N213, with the participation of students, mainly PhD students from MUST's Computer Science and Electronics and Information Engineering programs. The workshop showcased some of the latest research conducted in the field of artificial intelligence and related hardware algorithms. We discussed we discussed the strategy and theoretical analysis of Misère-Nim and its triangular game variants, the study of VAE-GAN integration to enhance generative modeling capabilities, deep reinforcement learning based on harmonic analysis to assist in DBSRC minimum current control, and the application of improved two-individual evolutionary algorithms to flexible job shop scheduling. At the heart of these discussions lies the loss of user confidence in the stability and reliability of algorithms and models. The problem becomes apparent when a large number of users fear that these algorithms will fail in real-world applications. Key drivers in their respective domains are discussed, including perceptions of technical instability and challenges in real-world applications, and strategies for improvement are proposed. The workshop concludes by analyzing recent examples of practical applications in these domains.


*Since the seats are limited, if you would like to attend the workshop, please contact ws_macau@confseml.orgin advance.

Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China


Entry Requirements - Macao Government Tourism Office

In order to ensure the information is correct and up to date, there may be changes which we are not aware of. And different countries have different rules for the visa application. It is always a good idea to check the latest regulations in your country. You should confirm details with your local Consular Office. This page just gives some general information of the visa application.

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