By streamlining complex workflows, automation enhances efficiency, adaptability, and reliability across industries such as healthcare, finance, and e-commerce
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IEEE Computer Society: Career Accelerator

NOVEMBER 2024

Automation

Automation enables systems to operate independently by handling tasks like data processing and execution with minimal human input. By streamlining complex workflows, automation enhances efficiency, adaptability, and reliability across industries such as healthcare, finance, and e-commerce.

1

Advancing the Automation Capability of Verifying Security Protocols

This article introduces SmartVerif, a framework that enhances the automation capabilities of Tamarin, a protocol verification tool. SmartVerif employs a dynamic strategy using reinforcement learning to automatically optimize protocol analysis and avoid non-terminating paths. 

2

On Building Automation Systems and Attacks

Building Automation Systems (BASs), which control climate, lighting, and entry systems, are widely used but often vulnerable to attacks. Showcasing real-world vulnerabilities, the researchers aim to raise security awareness among industry and academic professionals. 

3

Detecting Smart Home Automation Application Interferences with Domain Knowledge

Researchers from the Institute of Software from the Chinese Academy of Sciences, introduces KnowDetector, a tool designed to prevent conflicts in IoT automation caused by interactions between different applications. Using a graph-based approach, it detects interference by analyzing the relationships between devices and their environments. This offers better performance and scalability than existing solutions.

Videos

Computer Vision on the Edge: Individual Cattle Identification in Real-time with ReadMyCow System

Understanding Levels of Automation in Human-Machine Collaboration

This video discusses the challenges of allocating tasks between humans and machines in autonomous systems. Highlighting the factors influencing automation levels and emphasizes the need for systems to capture and process data that affects system behavior variability.

CLIPAG: Perceptually Aligned
Gradients in Vision-Language Models

New and Evolving Standards for Ethernet for Building and Industrial Automation

This video discusses the growing adoption of Ethernet connectivity in industrial and building automation. Drawing parallels to the evolution of computer networking. It covers the latest standards in Single Pair Ethernet, and highlights ongoing projects in the IEEE working group aimed at improving automation systems.

Additional Resources

[Webinar] Team Building

14 November at 11:00 a.m. ET — Collaborating, trusting, and holding each other accountable are crucial for an effective team. This webinar teaches you how to build these dynamics through improving collaboration, strengthening trust, increasing accountability, providing constructive feedback, and networking across your organization. Develop a high-performing team.

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025)

Step into the future with WACV 2025, the premier conference for computer vision researchers focusing on practical applications and innovative algorithms. Join us at IEEE WACV 2025 to learn from industry leaders, and network with global experts. Find out more today!

Featured Jobs in our Career Center

Systems Engineer: Reliability, Availability, Maintainability (RAMs) at Photonic Inc., Coquitlam, British Columbia, Canada


Tenure-Track Assistant Professor of Computer Science and Engineering at Santa Clara University in Santa Clara, California, USA


Theory Fellow at Howard Hughes Medical Institute in Ashburn, Virginia, USA


Postdoctoral Scholar In Machine Learning And Exoplanets at University of Central Florida in Orlando, Florida, USA


Open-rank faculty position in Fintech and Computer Science at The Hong Kong University of Science and Technology (Guangzhou)


Assistant/Associate Professor at Miami University at Oxford, Ohio, USA


Assistant Professor, Associate Professor, Professor at University of Maryland, College Park, MD, USA 


Department of Brain & Cognitive Sciences Assistant Professor at Massachusetts Institute of Technology (MIT) in Cambridge MA, USA

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