Conferences Links
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- Introduction
- Author Kit
- Submissions
- Events
- Welcome
- Why CompuSys 2027?
- Dates
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Welcome to CompuSys 2027 |
Welcome to the
International Congress on Recent Advances in Computing Systems (CompuSys 2027). This event is intended to represent a major forum for researchers, professionals and students from all over the world to meet in the beautiful and culturally rich city of Porto in Portugal to present their latest research results and to exchange new ideas and practical experiences.
ScopeCompuSys 2027 main scope includes, but is not limited to the following areas: Animation Techniques and Social Agents; Future Computing Systems; Human Computer Communication; Intelligent Informatics; Pandemics Analytics; Medical Computing Systems; Immersive Multimedia; Multimedia Signal Processing; Multimedia Systems, Networks and Technologies; Multimedia Big Data; Multimedia Security and Digital Forensics; Mesh, Ad Hoc and Sensor Networks; Software-Defined Networks; Network Operations and Management; Communication and Computer Networks; Mobile Computing Systems and Applications; Mobile Computing Software; Future Internet and Mobile Applications; Modeling and Simulation of Mobile Computing Systems; Mobile Video Processing; Augmented and Virtual Reality; Artificial Intelligence and Applications; Agent Systems and Intelligent Computing; Intelligent Systems and Knowledge Engineering; Computer Vision and Pattern Recognition; Information Technologies and Information Systems; Computer Science Foundations; Big Data and Applications; Fuzzy Computing and Applications; Embedded Computing and Applications; Dependable and Secure Computing; Evolutionary Computing and Applications; Green Computing and Applications; Fog Computing and Applications; Edge Computing and Applications; Social Computing and Applications; Cloud Computing and Applications; Quantum Computing and Applications; Software Design, Construction and Testing; Software Requirements Engineering; Software Security and Privacy; CompuSys 2027 is planned to feature special sessions, keynote talks and tutorial sessions by leading experts, paper presentations, poster shows, demo shows, discussion panels, as well as other interesting technical activities.
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CompuSys 2027 Conferences |
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Why Take Part in CompuSys 2027? |
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CompuSys 2027 is Technically Co-Sponsored by IEEE Portugal Section.
Papers will be submitted to IEEE Xplore. |
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Enjoy attending CompuSys 2027 at PortoBay Flores, in Porto, Portugal. |
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Enjoy moderate registration fees, and register up to two papers for the same registration fee. Students receive substantial registration discounts. |
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Have the possiblity to extend and publish your conference papers with some of the top journal publishers. |
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Only full paper submissions are allowed at all our conferences. No summary or abstract submissions are allowed. Conference topic coverage includes the most current and exciting fields of knowledge and research. |
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Papers can be accepted to our conferences only after rigorous peer reviewing. |
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Our outstanding reviewing process is facilitated by careful selection of technical program committee members from among the best international experts. Each submitted paper is subject to no less than two peer reviews before it can be considered for acceptance. |
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Published papers of CompuSys 2027 are indexed by Google Scholar. More indexing is on the way. |
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At each conference, and based on paper review scores, the paper with the highest scores receives the Best Paper Award. This is an award to which only presented papers are eligible. The best paper award is usually delivered to the presenter of the winning paper at the main conference dinner. |
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CompuSys 2027 Dates |
| CompuSys 2027 Days |
Monday - Wednesday: 15-17 March 2027 (Hybrid Mode) |
| Full Paper Submission Deadline |
Sunday, 10 January 2027 |
| Author Notifications |
Sunday, 24 January 2027 |
| Final Paper Submissions Deadline |
Wednesday, 3 February 2027 |
| Registration Deadline |
Wednesday, 3 February 2027 |
| Registration Cancellation Deadline |
Tuesday, 9 February 2027 |
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CompuSys 2027 Submissions |
CompuApps 2027
Emerging Applications of Computing Systems
| CompuShops 2027
Workshops in Computing Systems
| Multimedia 2027
Multimedia Systems, Networks and Technologies
| Networks 2027
Communication Networks and Network Management
| MIC-Mobile 2027
Mobile Computing, Networking and Applications
| ArtInt 2027
Artificial Intelligence and Intelligent Systems
| Computing 2027
Computing Systems
| MIC-Software 2027
Software Engineering and Applications
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CompuSys 2027
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Are you preparing a paper to submit to CompuSys 2027?
If so, please help the organizing committee make good predictions about the potential size of CompuSys 2027 participation. To do so, please indicate your plan to submit a contribution by clicking here. This does not imply any commitment on your side. Kindly note that clicking the above link does not involve submission of any contribution. |
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- Tutorial Sessions
- 34.Tut-29
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CompuSys 2027 Tutorial Sessions |
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Pitfalls of Causal Computing |
Summary | | The importance of creating explainable models appears to be now widely acknowledged. The usual task is to find a mathematical model describing a given dataset. The universal models such deep learning models not only lacks interpretability, but often also an inductive bias, which makes the learning from data much more challenging. A billion dollar question is under what conditions the cause-effect relationships can be derived from data. This is crucial for building machines that have causal understanding of the world. In this talk, I will outline how geometry and topology can be used as one strategy for obtaining interpretable machine learning models. I will then specifically focus on the case of linear regression to explain when it can reveals the causal associations in data. |
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Speaker |
Dr. Pavel Loskot, ZJU-UIUC Institute, Haining, China | Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as an Associate Professor after being 14 years with the College of Engineering at Swansea University in the UK. He received his PhD degree in Wireless Communications from the University of Alberta in Canada, and the MSc and BSc degrees in Radioelectronics and Biomedical Electronics, respectively, from the Czech Technical University of Prague in the Czech Republic. In the past nearly 30 years, he had diverse teaching assignments, and was involved in numerous collaborative research and development projects concerning mostly wireless and optical communication systems, but also network science, computational molecular biology, renewable energy, and air transport management. He also held a number of paid consultancy contracts with industry. In 2012, he outlined the concept of interactive information discovery in a large corpora of documents akin to searching the web, which he shared to a key industry player in early 2014. Pavel Loskot is the Senior Member of the IEEE, Member of the ACM, Fellow of the Higher Education Academy in the UK, and was in the first cohort to be awarded the Recognized Research Supervisor title by the UK Council for Graduate Education. Last year, he was elected the IARIA Fellow. In the past 20 years, he delivered over 120 talks including keynotes and plenary talks, and 18 tutorials at various international conferences. He currently serves as a Review Editor in Frontiers in Genetics, and an Editor in ICT Express. At present, he is teaching undergraduate courses in computer engineering including C and X86 assembly programming, operating systems, advanced mathematics, distributed systems, and introduction to theoretical computer science. Previously, he taught courses in digital communications, statistical inference, convex optimization, numerical methods and algorithms, and computer networks. His current research interests focus on mathematical and probabilistic modeling, and statistical signal processing and machine learning for multi-sensor and longitudinal data. |
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