The 1st National Workshop on GenAI-Driven Big Data Innovations in the Edge-Cloud Continuum (gAI-BDEC2-2024)

in conjunction with BDA 2024, 17-20 Dec 2024, University of Hyderabad, Telangana, India

Important Dates Paper Submission Keynotes Schedule

Objective & Scope

The objective of the workshop "GenAI-Driven Big Data Innovations in the Edge-Cloud Continuum" is to provide a comprehensive platform for researchers, practitioners, and industry experts to exchange knowledge and insights on the integration of Generative AI with big data within the edge-cloud continuum. The workshop aims to highlight cutting-edge techniques, innovative solutions, and practical applications that enhance AI workload optimization, secure data handling, and real-time data processing across the computing continuum. By facilitating discussions on advanced algorithms, orchestration tools, and deployment strategies, the workshop seeks to drive advancements in the field and foster collaboration among attendees to address the challenges and opportunities in leveraging GenAI for big data across edge and cloud environments.

Description

The workshop on "GenAI-Driven Big Data Innovations in the Edge-Cloud Continuum" focuses on the latest advancements in the integration of Generative AI (GenAI) with big data, emphasizing the practical and theoretical aspects of deploying AI solutions across the edge-cloud continuum. This workshop will explore various techniques and algorithms, including advances in Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), as well as their applications in data synthesis and augmentation. Attendees will gain insights into the design and implementation of edge AI solutions, the optimization of AI workloads on edge devices, and scalable AI/ML model deployment in the cloud. Additionally, the workshop will address key challenges such as secure data handling, privacy-preserving machine learning, real-time data processing, and fault-tolerant AI systems, especially in the edge-cloud continuum. By bringing together experts and practitioners, this workshop aims to facilitate discussions on the effective orchestration of AI tasks, the use of containerization and microservices, and the implementation of security measures to ensure robust and efficient AI applications in edge-cloud environments.

Topics of Interest

  • Generative AI Techniques and Algorithms
  • Advances in Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs) for Big Data
  • Data Synthesis and Augmentation using GenAI
  • Design and Implementation of Edge AI Solutions
  • Optimizing AI Workloads on Edge Devices
  • Scalable AI/ML Model Deployment in the Cloud
  • Serverless Computing for Big Data and AI
  • Use of AI in Seamless Integration of Edge and Cloud Resources
  • AI/ML Model Training and Deployment on distributed computing continuum
  • Secure Data Handling in Edge-Cloud Systems
  • Privacy-Preserving Machine Learning Techniques
  • Stream Processing and Real-time Data Insights
  • Low-latency AI Applications in Edge-Cloud Settings
  • Successful Implementations of GenAI in Industry
  • Tools for Building and Deploying GenAI Models
  • Strategies for Building Fault-Tolerant AI Systems
  • Techniques for Orchestrating AI Tasks across Edge and Cloud
  • Orchestration Tools and Platforms (e.g., Kubernetes, Docker)
  • Scheduling Algorithms for Optimized AI Processing
  • Containerization and Microservices for AI
  • Tools for Monitoring AI Applications and Implementing Effective Logging Mechanisms
  • Data Orchestration and Workflow Management
  • Managing AI Data Pipelines across Edge and Cloud
  • Implementing Security Orchestration, Automation, and Response (SOAR) for AI Systems

Target Audience

  • Researchers and Academics: Scholars and students specializing in AI, machine learning, data science, and edge-cloud computing.
  • Students and Enthusiasts: Graduate and postgraduate students, as well as tech enthusiasts eager to learn about the latest trends and network with professionals in the field.
  • Industry Professionals: Engineers, data scientists, and IT professionals working in the fields of AI, GenAI, cloud computing, edge computing, big data analytics, and IoT.

Workshop Organizers

Name: Chinmaya Dehury
Email: dehury(at)ut.ee
Address: University of Tartu, Estonia
Webpage: https://kodu.ut.ee/~dehury/

Program Committee Members

  • Prasan Kumar Sahoo, Chang Gung University, Taiwan.
  • Hiren Kumar Bharatbhai Thakkar, Pandit Deendayal Energy University, India
  • Gone Neelakantam, Mahindra University, Hyderabad, India
  • Pushpanjali Gupta, National Yang Ming Chiao Tung University , Taiwan
  • Sulagna Mohapatra, National Yang Ming Chiao Tung University , Taiwan
  • Djeane Debora Onthoni, National Health Research Institutes (NHRI), Taiwan

Workshop Format

Duration: Half-day
Structure:

  • 6 presentations, 20-30 min each
  • Technical Panel Discussion: 1 Hour

Important Dats

  • Workshop paper submission deadline: November 1, 2024, November 20, 2024
  • Notification of workshop paper acceptance: November 10, 2024, November 25, 2024
  • Submission of camera-ready: November 15, 2024, November 27, 2024

Submission Guidelines

Authors are required to submit fully formatted, original papers (in PDF format) via gAI-BDEC2 easychair. All workshop papers are limited to no more than 6 pages, including references, in the IEEE format aligned with the BDA 2024 main conference guidelines. Each submission must be written in English, accompanied by a 75 to 200 words abstract that clearly outlines the scope and contributions of the paper. Papers exceeding 6 pages will not be accepted. At least one author of each accepted paper is required to register for the workshop.

Authors are required to submit fully formatted, original papers (in PDF format) via Easy Chair through >>this link<< .

Publication & Certification

We are pleased to inform you that we intend to invite you to submit an extended version of your paper for publication in a Special Issue of a Springer journal. We are in the process of SI approaval and we will provide further details as soon as the process is complete.

Those who deliver a presentation at the event will be awarded a certificate acknowledging their contribution. Additionally, all attendees will receive a certificate of participation.
We look forward to your active participation and hope these recognitions serve as a testament to your engagement and dedication.

Keynote Speakers

Speaker Image

Prof. Vishwas Chavan

EarthSight Foundation
School of Inspirational Living
Pune 411015, India
Email: chavan.vishwas(at)gmail.com

Short Bio: Prof. Vishwas Chavan is a researcher-cum-academician, who has a successful stint in national & international science diplomacy leading to local-to-global scale collaborations. Dr Chavan also has a proven track record of breaking new ground, e.g. Conceptualizing data-intensive research & policy planning in environmental sciences, biodiversity, ecology and sustainable development. Prof. Chavan has implemented over 2-dozen research & development projects both nationally and internationally. These projects have received significant funding (national & international) in cross-disciplinary areas of information and communication technology applications in marine, environment, biodiversity, ecology and sustainability sciences. He has vast experience in leading national & international projects and initiatives. He has published about 60 research papers in high-impact factor journals, including in Nature. His idea of data publishing in S&T in the form of ‘data papers’ has given rise to numerous data journals, e.g. Scientific Data, and Biodiversity Data Journal. Prof. Chavan is also an accomplished author, inspirational speaker, and futurist. As a success strategist and entrepreneurship mentor, Dr Chavan has worked with academic, research and professional organisations in an advisory capacity, both nationally and internationally.


Talk Title: Beyond Innovation: Where GITA Converge to Redefine Our Planet-Centric Future

Abstract:

GITA, the integration of Generative AI (GenAI), Information and Communication Technologies (ICT), and Big Data Analytics is transforming worldwide initiatives in biodiversity conservation, climate change mitigation, and sustainable development. Utilizing Edge-Cloud Continuum architecture, GITA facilitates a transition from reactive to predictive stewardship, enhancing real-time decision-making, anticipatory action, and dynamic ecosystem management.
This talk demonstrates how GITA empowers conscious ecosystems, facilitating self-aware woods, oceans, and cities via AI-driven drones, digital replicas of towns and farms, and climate forecasting models. Real-time edge processing and cloud-based machine learning improve biodiversity conservation, precision agriculture, and disaster readiness. Case examples from India's initiatives in predictive agriculture, wildfire detection, and flood forecasting illustrate GITA's revolutionary capabilities.
The work promotes a transition from human-centric to planet-centric AI, highlighting the necessity of ethical AI governance that prioritizes biodiversity, sustainability, and justice. This article presents a framework for planet-first AI, grounded in the principles of Dharma (moral duty) and Vishwa Chetana (universal consciousness), to achieve the UN Sustainable Development Goals (SDGs).
Keywords: Generative AI, Edge-Cloud Continuum, Predictive Stewardship, Planet-Centric AI, Biodiversity Conservation, Climate Mitigation, Sustainable Development, GITA Framework, Digital Twins, Conscious Ecosystems.



Speaker Image

Dr. Shivananda R Poojara, Ph.D

Solution Architect- Cloud and Edge Computing
Airowire Networks Private Limited
Bengaluru, India
Email: shivanand@airowire.com, shivu.poojar@gmail.com

Short Bio: Dr. Shivananda R. Poojara holds a Ph.D. from the University of Tartu, Estonia, and currently serves as a Solution Architect for Cloud and Edge Computing at Airowire. With over a decade of expertise in digital transformation and consulting, he has been worked with many technologies landscape primarily cloud, edge computing, enterprise networks and IoT systems. He has conducted research in scalable IoT data processing using serverless technologies. His research interests focus on serverless computing, edge analytics, fog computing, and cloud computing.
Dr. Poojara is a member of prestigious organizations such as IEEE, IET, and ISTE, and worked at Nokia R&D Labs and was honored with the Infosys Distinguished Facilitator Awar. Committed to knowledge-sharing, he has delivered numerous workshops and technical seminars, reaching the students across India, Estonia, and Malaysia. Dr. Poojara is also the co-author of Mastering Cloud Computing, published by McGraw Hill India, which has been adopted as a textbook in several universities.


Talk Title: From Concept to Implementation : Navigating the Journey to HyperAutomation in real time Network and Cloud Operations

Abstract:

In today’s data-driven, fast-paced digital world, managing multiple data sources and streamlining processes for faster time-to-market is a significant challenge. Enterprises now seek solutions that unify data into a single source of truth, enhancing business value and reducing manual work. HyperAutomation has emerged as a transformative solution, empowering companies to elevate productivity and optimize operations. HyperAutomation is the next level of automation evolved over the years with eco-system of technologies like RPA, AI, ML, and process management to automate complex workflows end-to-end. Going beyond traditional automation, it introduces intelligence, scalability, and real-time insights, enabling organizations to improve efficiency, lower costs, and boost agility, driving comprehensive digital transformation.
In this keynote, we explore the HyperAutomation landscape, its key drivers, and the ecosystem. We present a comprehensive view of HyperAutomation framework, designed to streamline network, and security operations. Through real-world use cases and technology stack, we showcase how HyperAutomation will deliver measurable ROI and tangible benefits to the clients.