Consultas a cursos@aadeca.org o por whatsapp 011 3201-2325 |
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February 25th, 2025
Daniela Lopez de Luise
Consultas a cursos@aadeca.org o por whatsapp 011 3201-2325 |
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February 25th, 2025
Daniela Lopez de Luise
SS01: Special Session on Deep Learning applied to Computer Vision, Healthcare and Robotics
This special session provides a platform for academics, developers, and industry related researchers belonging to the vast communities of Neural Networks, Computational Intelligence, Machine Learning, Deep Learning, Biometrics, Vision systems, Healthcare and Robotics, to discuss, share experience and explore traditional and new areas of the computer vision, machine and deep learning combined to solve a range of problems. The objective of the workshop is to integrate the growing international community of researchers working on the application of Machine Learning and Deep Learning methods in Vision, Health and Robotics to a fruitful discussion on the evolution and the benefits of this technology to the society.
· Computational Intelligence methods
· Machine Learning methods
· Self-adaptation and self-organization
· Robust computer vision algorithms (operation under variable conditions, object tracking, behavior analysis and learning, scene segmentation, …)
· Extraction of Biometric Features (fingerprint, iris, face, voice, palm, gait)
· Convolutional Neural Networks CNN
· Recurrent Neural Networks RNN
· Deep Reinforcement Learning DRL
· Hardware implementation and algorithms acceleration (GPUs, FPGAs)
· Video and Image Processing
· Video tracking
· 3D Scene reconstruction
· 3D Tracking in Virtual Reality Environments
· 3D Volume visualization
· Intelligent Interfaces (User-friendly Man Machine Interface)
· Multi-camera and RGB-D camera systems
· Multi-modal Human Pose Recovery and Behavior Analysis
· Gesture and posture analysis and recognition
· Medical Imaging
· Biometric Identification and Recognition
· Extraction of Biometric Features (fingerprint, iris, face, voice, palm, gait)
· Surveillance systems
· Autonomous and Social Robots
· Robotic vision
· Industry 4.0
· IoT and Cyber-physical Systems
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March 30, 2026 |
Submission of papers |
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April 22, 2025 |
Notification |
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May 14, 2025 |
Early registration |
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June 16-18, 2025 |
IWANN Conference |
Please, submit your paper through the IWANN 2025 website by selecting the special session SS01: Deep Learning applied to Computer Vision, Healthcare and Robotics.
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Enrique Dominguez Universidad de Málaga |
José García-Rodriguez Universidad de Alicante |
Ramón Moreno Grupo Antolín Ingeniería |
More information can be found at the conference website https://iwann.uma.es
Best regards,
February 25th, 2025
Daniela Lopez de Luise
The Fifth Intelligent Cybersecurity Conference (ICSC2025)
Hybrid Event
https://www.icsc-conference.org/2025/
Tampa, Florida, USA. May 19-22, 2025
Technically Co-Sponsored by IEEE Florida West Coast Section
ICSC 2025 CFP:
In today’s world, connected systems, social networks, and mobile communications create a massive flow of data, which is prone to cyberattacks. This needs fast and accurate detection of cyber-attacks. Intelligent systems and Data analytics are important components when issues pertaining to effective security solutions become the subject of discussion. This is because there is an impending need for high volume and high velocity data from different sources to detect anomalies as soon as they are discovered. This will help reduce significantly the vulnerability of the systems as well as improve their resilience to cyber Attacks. The capability to process large volumes of information at real time through utilization of tools for data analytics has many advantages vital for analysis of cybersecurity systems. Moreover, the data collected from sophisticated intelligent systems, cloud systems, networks, sensors, computers, intrusion detection systems could be used to identify vital information. This information could be used to detect how vulnerable the systems are to risk factors, and so effective cyber security solutions can be developed. In addition to that, the utilization of data analytics tools in the cybersecurity field gives new insights through considering factors such as zero-day attack detection, real time analysis, resource constrained data processing among others.
The Intelligent Cybersecurity Conference (ICSC) addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to:
Submissions Guidelines and Proceedings
Manuscripts should be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICSC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion.
Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be up to 6 pages.
Important Dates:
Contact:
Please send any inquiry on ICSC to Fahed Alkhabbas at: fahed.alkhabbas@mau.se
February 25th, 2025
Daniela Lopez de Luise
February 25th, 2025
Daniela Lopez de Luise Starting in the winter semester of October 2025, we will launch an International Master’s program in Digital Farming at HSWT, Freising (near Munich). The program aims to equip bachelor’s degree graduates with cutting-edge expertise in AI, robotics, and digital technologies for modern agriculture.
Career Paths: Graduates can pursue careers in Agri-Tech, research, consulting, startups, or the public sector, driving innovation in digital farming.
📅 Admission: End of April – July 15, 2025Best regards
Ehsan Yaghoubi,
Postdoctoral Researcher,
HSWT, Friesing