Author Anastasija Nikiforova

The International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2024)

CFP for The IEEE International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2024)

Anastasija Nikiforova Leave a comment

On behalf of the organizers (Technical Program Chair, Steering Committee, and finally publicity chair) of the IEEE International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2024), I am inviting everyone, who is conducting research in this area, to consider submitting the paper to it.

Call for Papers:

New advancements in wireless communication systems such as Fifth-Generation (5G), Beyond Fifth-Generation (B5G), and Sixth-Generation (6G) networks will allow for new and unprecedented services to be made available for users with nearly unlimited capacity. These services will be the core driver for future digital transformation of our cities and communities. This will be accompanied by a ubiquitous deployment of Internet of Things (IoT) infrastructure and supported by computing capacity that will be available at the edge of the network and in the cloud. This computing infrastructure will handle the processing of data generated by users and services. Such a complex and diverse system will require the applications running on the computing/networking infrastructure to be Intelligent, efficient and sustainable. Additionally, the infrastructure will require smart control and automation systems to integrate and manage its different components. Artificial Intelligence (AI) and its applications will play a significant role in the design, deployment, automation, and management of future services. This will include applications that will be running on the edge and on cloud servers, networking applications to handle the flow of data between the users and the computing system, and intelligent automation and management software operating on the system. The International Conference on Intelligent Computing, Networking, and Services is aiming to provide an opportunity to present state of the art research in the intersections of Computing, Networking, and Services that are supported by Artificial Intelligence.

Researchers from both the industry and academia are encouraged to submit their original research contributions in all major areas, which include, but are not limited to the following main tracks:

💡Track 1: Artificial Intelligence Fundamentals

  • Artificial Intelligent Systems
  • Artificial Intelligent Theory
  • Artificial Intelligent applications in Computers and Communications
  • Artificial Intelligent and Robotics Technologies
  • Artificial Intelligent and cloud computing
  • Artificial Intelligent for Economic paradigms and game theory
  • Machine and Deep Learning of Knowledge
  • Artificial Intelligent based Distributed Knowledge and Processing
  • Artificial Intelligent for Human-Robot Interactions

💡Track 2: Intelligent Internet of Things and Cyber-Physical Systems

  • Intelligent IoT Applications and Services
  • Intelligent security for the Internet of Things and cyber-physical systems
  • Intelligent Internet of Things architectures and protocols
  • Intelligent Cyber Physical Systems (CPS)
  • Blockchain-based application in Intelligent Manufacturing: Industrial Internet of Things,
  • Blockchain and Secure Critical Infrastructure with Industry 4.0
  • Intelligent manufacture and management
  • Consensus and mining algorithms suited for resource-limited IoTs
  • Blockchain-based Controlled mobility and QoS
  • Blockchain-based energy optimization techniques in WSN
  • Blockchain-based Software defined networks

💡Track 3: Edge Intelligence and Federated Learning

  • Distributed and federated machine learning in edge computing
  • Theory and Applications of Edge Intelligence
  • Middleware and runtime systems for Edge Intelligence
  • Programming models compliant with Edge Intelligence
  • Scheduling and resource management for Edge Intelligence
  • Data allocation and application placement strategies for Edge Intelligence
  • Osmotic computing with edge continuum, Microservices and MicroData architectures
  • ML/AI models and algorithms for load balancing
  • Theory and Applications of federated learning
  • Federated learning and privacy-preserving large-scale data analytics
  • MLOps and ML pipelines at edge computing
  • Transfer learning, interactive learning, and Reinforcement Learning for edge computing
  • Modeling and simulation of EI and edge-to-cloud environments
  • Security, privacy, trust, and provenance issues in edge computing
  • Distributed consensus and blockchains at edge architecture
  • Blockchain networking for Edge Computing Architecture
  • Blockchain technology for Edge Computing Security
  • Blockchain-based access controls for Edge-to-cloud continuum
  • Blockchain-enabled solutions for Cloud and Edge/Fog IoT systems
  • Forensic Data Analytics compliant with Edge Intelligence

💡Track 4: Intelligent Networking in Beyond 5G (B5G) and 6G Wireless Communication

  • Intelligent Networking in Beyond 5G/6G Network Architectures
  • large-scale Internet of Things in B5G/6G
  • Vehicular networks in B5G/6G
  • Blockchain with lightweight computation
  • Service and applications for vehicular clouds in B5G/6G
  • Future internet architectures for B5G/6G
  • Intelligent networking services
  • Emerging networks in B5G/6G
  • Byzantine-tolerant FL
  • Churn-tolerant FL
  • FL for NGN and 6G
  • B5G/6G based IoT healthcare systems

💡Track 5: Intelligent Big Data Management and Processing

  • Intelligent Data Fusion
  • Intelligent Analytics and Data mining
  • Intelligent Distributed data management
  • Distributed transaction for blockchain
  • Intelligent Data Science and Data Engineering
  • Protocols for management and processing of data

💡Track 6: Intelligent Security and Privacy

  • Authentication and authorization
  • Applications of blockchain technologies in digital forensic
  • Privacy technologies
  • Blockchain-based threat intelligence and threat analytics techniques
  • Blockchain-based open-source tools
  • Forensics readiness of blockchain technologies
  • Blockchain Attacks on Existing Systems
  • Blockchain Consensus Algorithms
  • Blockchain-based Intrusion Detection/Prevention
  • Security and Privacy in Blockchain and Critical Infrastructure
  • Attacks on Blockchain and Critical Infrastructure
  • Blockchain and Secure Critical Infrastructure with Smart Grid

💡Track 7: Blockchain Research & Applications for Intelligent Networks and Services

  • State-of-the-art of the Blockchain technology and cybersecurity
  • Blockchain-based security solutions of smart cities infrastructures
  • Blockchain in connected and autonomous vehicles (CAV) and ITS)
  • Blockchain Technologies and Methodologies
  • Recent development and emerging trends Blockchain
  • New models, practical solutions and technological advances related to Blockchain
  • Theory of Blockchain in Cybersecurity
  • Applications of blockchain technologies in computer & hardware security
  • Implementation challenges facing blockchain technologies
  • Blockchain in social networking
  • Performance metric design, modeling and evaluation of blockchain systems
  • Network and computing optimization in blockchains
  • Experimental prototyping and testbeds for blockchains
  • Blockchain networking for Edge Computing Architecture
  • Blockchain technology for Edge Computing Security
  • Blockchain-based access controls for Edge-to-cloud continuum
  • Blockchain-enabled solutions for Cloud and Edge/Fog IoT systems
  • Forensic Data Analytics compliant with Edge Intelligence

Three workshops are scheduled to take place as part of ICCNS that you cannot miss, namely:

🗓️🗓️🗓️ IMPORTANT DATES

  • Full paper submission: May 15thm 2024
  • Full paper acceptance notification: August 5th, 2024
  • Full paper camera-ready submission: August 20th, 2024

For any inquiries, please contact: intelligenttechorg@gmail.com.

Submit the paper and meet our team in Dubrovnik (Croatia) in September, 2024!

With best wishes,

ICCNS2024 organizers

Online International Training and Capacity Building Program-2024 (ITCBP-2024) for the School of Planning and Architecture, New Delhi and my talk on “Data Management for AI Cities”

Anastasija Nikiforova Leave a comment

Yesterday, I had the honor of serving as an Expert speaker for an Online International Training and Capacity Building Program-2024 (ITCBP-2024) on “Data Management for AI Cities”, organised by the School of Planning and Architecture, New Delhi (SPA FIRST) that invited me to deliver a talk on “Data Visualisation for Cities: City Based Applications”.

During this talk, we touched on several important aspects surrounding data management and visualization in and for cities, including:

  • Data management that was then deduced to data quality management of both internal and external data, departing from understanding these data to managing their quality throughout the DQM lifecycle (stressing that data cleaning is not the same as DQM), touching on several approaches to this with greater emphasis on the AI-augmented data quality management – existing tools, underlying methods, and weaknesses that should be considered when using (semi-)automatic data quality rule recognition, depending on the method they use for this purpose;
  • Data governance was then discussed, stressing how it differs from DQM, and what it consists of and why it is crucial, incl. within the context of this talk;
  • Data visualization & storytelling – role, key principles, common mistakes, best practices. As part of this, we covered strategies for selecting data visualization type with tips on how to simplify this process, incl. by referring to chart selectors, but also stressing why “thinking outside the menu” is critical, esp. within city-level data visualization (where your audience is often citizens or policymakers). We looked at the most common and/or successful uses of non-traditional types of visualizations, incl. tools to be used for these purposes, breaking them into those that require coding and those that are rather low- or no-code; noise reduction – simplicity – strategic accents’ use, as well as drill-down (aka roll-down) & roll-up use to convey the message you want to deliver while overcoming highlighting everything and thereby losing your audience. In addition, a UX perspective was discussed, including but not limited some aspects that are often overlooked when thinking about the design and aesthetic color palette, namely the color-blindness of the audience that might “consume” these visualizations and again, tips on how to use it easier – did you you known that there are 300 million color blind people? And that 98% of those with color blindness have red-green color blindness?

So what was the key message or a “takeaway” of this talk? In a very few words:

  • Understand your data, audience and story you want to tell! Understand:
    • your data,
    • the story it tells,
    • your target audience’s preferences and needs,
    • the story you want to tell
    • data suitability
    • data quality
  • Attention-grabbing visuals & storytelling is a key!
    • reduce noise to avoid audience confusion and distraction
    • use drill-down and roll-up operations to keep visualization simple
    • add the context to provide all necessary information for clear understanding
    • add highlights to focus their attention – add accents strategically
  • Consider design – the optimal visualisation type, chart design, environment design, potential color-blindness of your audience
  • Keep track of the current advances, but also challenges and risks, of data visualization in urban settings, incl. but not limited to (1) privacy concerns, (2) data silos, (3) technological limitations.

All in all, it was quite a rich conversation and I am very grateful to the organizers for the invitation to be part of this event and to the audience for the very positive feedback!

Generative AI Role in Shaping the Future of Open Data Ecosystems: Synergies amidst Paradoxes

Anastasija Nikiforova Leave a comment

The role of Generative AI is the subject for debates in almost every domain today, and the open data (ecosystem) domain is no exception. Here’s my two cents on this with the blog post “Generative AI Role in Shaping the Future of Open Data Ecosystems: Synergies amidst Paradoxes”.
In this blog post, I present some personal observations and predictions on how Generative AI will stop open “data winter” or even give an impetus to the “data spring” the call for what has been made recently. While these steps may be many and different, one obvious element that could affect the current state of affairs is Artificial Intelligence, particularly in the form of Generative AI. Along with this “forecast” and high-level discussion that is expected to be made more in-depth and likely evidence-based (since, together with my colleagues and students, we are already working in this direction), some paradoxes are mentioned among this symbiotic relationship between Generative AI and open data (ecosystem)…

View at Medium.com