Complex Adaptive Systems Conference

November 13 – 15, 2019 | Malvern, PA

Conference Theme:
Leveraging AI and Machine Learning for Societal Challenges

Complex adaptive systems evolve to address uncertainty and changes in operational environment, social values, and technological advances. Growing human populations and growing demand for limited natural resources necessitate sustainable cities that require efficient and effective energy generation, water management, and transportation infrastructures. Autonomous vehicles within a networked infrastructure, Smart Grid, Smart city, and many other Cyber physical system applications are evolving to address these societal challenges. Healthcare systems are changing as well. Smart medical devices, wearable sensors, connected home monitoring systems are all part of the modern healthcare systems. Artificial Intelligence (AI), machine learning algorithms, pervasive sensing and actuating capabilities, real time control, cloud computing, and data science and analytics are some of the key enablers for these systems.

Complex Adaptive Systems Conference 2019 will bring together researchers from academia, industry and government to discuss recent work in these areas with a special focus on leveraging AI and machine learning for solving societal challenges.

Papers are invited on theories, methodologies, and applications of Complex Adaptive Systems with special emphasis on applications to the following areas:

  • Artificial Intelligence and Machine Learning
  • Explainable AI
  • Trusted AI: Robustness, Security, and Testability of AI systems
  • Ethics in AI
  • Collective Social Intelligence
  • Mobile Cloud Computing
  • Data Analytics
  • Cyber Security
  • Safety, Reliability and Building Resilient Systems
  • Modeling and Analysis of Socio-Technical Systems
  • Cyber Physical Systems: IoT, Smart Cities, Smart Grids
  • Blockchain

Proceedings of the Complex Adaptive Systems Conference 2019 will be published in Procedia Computer Science Elsevier (ISSN:1877-0509)

Conference Tracks & Topics

Track: Artificial Intelligence and Machine Learning

Topics include, but are not limited to applications and theoretical models of supervised learning, unsupervised learning, pattern recognition, computer vision, statistical learning, clustering algorithms, time series prediction, and optimization methods

Track: Explainable AI

Topics include, but are not limited to studies on algorithmic transparency, fairness in machine learning, and bias in AI systems

Track: Trusted AI

Topics include, but are not limited to robustness, security, and testability of AI systems

Track: Ethics in AI

Topics include, but are not limited to use cases and practical applications of ethics in AI systems from a multidisciplinary perspective

Track: Collective Social Intelligence

Topics include, but are not limited to social media analytics, semantic perception, semantic social web, citizen-sensor network, people-content network analysis, real-time social media analysis

Track: Mobile Cloud Computing

Topics include, but are not limited to mobile computing, ubiquitous and pervasive software, cloud computing, security of mobile applications, MCC architecture, context-aware mobile applications

Track: Data Analytics

Topics include, but are not limited to data classification and regression, data warehouse, big data, datasets and evaluation, data visualization, natural language processing, bioinformatics, high performance computing and scalable computing, knowledge discovery integration and transformation, statistical methods, sentiment and emotion classification

Track: Cyber Security

Topics include, but are not limited to information security, computer network security, application security, web services security, mobile security, software security, sensor network security, security management, security operations, digital trust and reputation

Track: Safety, Reliability and Building Resilient Systems

Topics include, but are not limited to resilience and systemic risk, models of safety and reliability in engineering systems

Track: Modeling and Analysis of Socio-Technical Systems

Topics include, but are not limited to models and methods for designing socio-technical systems including architecture, policy and governance of socio-technical systems

Track: Cyber Physical Systems

Topics include, but are not limited to applications of IoT, Smart Cities, and Smart Grids

Track: Blockchain

Topics include, but are not limited to applications of blockchain, blockchain architecture, smart contracts, blockchain security, open consensus protocols, and scalable consensus protocols

 

For general conference information, contact:

Lee Dougherty
Conference Planning Services at Penn State Great Valley
30 E. Swedesford Rd.
Malvern PA, 19355
Email: complexsystems@psu.edu

IEEE Region 2 Newsletter – Final Call For Input

  • All of our affinity groups, student branches, and clubs are able to send in items for the Region 2 Newsletter. These can be photos from an event (please offer date, location, photo personnel data), scheduled happenings, a future strategy you are pursuing, awards and recognition, etc. The call for additional Region 2 Newsletter will stay open until COB 26 July 2019 
  • If your affiliated Section is listed for a later version of the Region 2 Newsletter and you would like to send information in early, we will gladly accept it, just let us know if there is a ‘timeliness’ aspect to the content, so it can be queued for the right volume.

R2 Newsletter Development and Review Cycle: Vol 2: July; Vol 3: early Sept; Vol4: mid Oct; Vol 5: early Dec. 

  • Vol 2Central Penn, Susquehanna, Delaware Bay, Baltimore, Akron
  • Vol 3Erie, Lehigh Valley, NOVA, Cincinnati, Dayton
  • Vol 4Johnstown, West VA, Philadelphia, Cleveland, Lima
  • Vol 5Pittsburgh , Southern NJ, Columbus, DC, Youngstown