Big Data Analytics

in Astronomy, Science and Engineering (BASE)

November 26 - 28 , 2024

at University of Aizu, Japan, National Institute of Technology Delhi and IIT Delhi, India

Hybrid Mode

Big-data-analytics in Astronomy, Science and Engineering (BASE)

Theme - Data Science and Applications

The program schedule

Day 1

https://meet.google.com/qfd-owzp-tdu

Day 2

https://meet.google.com/gbf-zkyu-bfo

Day 3

https://meet.google.com/qfd-owzp-tdu

Introduction

The conference will focus on business data semantics and infrastructure for information management and interchange. It is being sponsored by University of Aizu, National Institute of Technology (NIT), Delhi, Department of Computer Science and IIT Delhi. The conference will attract the research attention on data management and user interfaces for scientic computing systems. These themes will guide research on infrastructure facilities, robotics, IoT as well as human resource development in science and engineering. Database Systems play a central role in the evolving information systems. It aims at promoting research related to -

* Data Science

* Software Engineering for Management of Voluminous Data

* Data Management for Voluminous data

* Information interchange and management systems for Data Centers

* Core technologies for scientific computing

* Managing client/middleware/server computing for sharable data

* No SQL Databases

* New database query languages for sensor data Systems

* Knowledge - Annotation and Visualization

* Cyber Physical System

Current research activity on -

Algorithms for collecting, analyzing, and securing data for decision support; Integrating advanced technologies for cloud services and dynamic workflow, and supply chain management; Approaches and algorithms for automatic data center administration; Architectures for simplifying the access to and querying of diverse information sources ; All aspects of data management for Information Systems are sought for participation.

The format of the conference will encourage everyone to participate actively in discussions. Keynote discussions will be used to focus the debate onto current research issues. Pre-printed papers will be available to all participants and discussion is expected to lead to improvement of the papers and a record of their inter-relationships. The 12th BDA 2024 conference will publish its proceedings (indexed by Scopus) in the Springer in the Lecture Notes in Computer Science (LNCS) series (Approval Pending). Selected manuscripts from the earlier conferences have been recommended for publication in " International Journal of Computational Science and Engineering (IJCSE) " . The journal is listed in Web of Science list, and UGC master list of journals in India.

The following is the link for manuscript submission at Microsoft CMT. "Manuscript Submission" .

Contributions should cover concepts for implementation, management of meta-data, systems architecture and experience gained in Information Systems and DBMSs. Specific areas of interest include:

  • Data Management for Data Centers and Transactions
    • UML for e-Service
    • Secured Access Control
    • Searching & Managing Dynamic Contents
    • Workflow Modelling
    • Cloud Computing
    • Data Mining and Machine Learning
  • Data Visualization
    • Web Usage Mining
    • Agent-Based e-Services
    • open Data Integration
    • Database Integration
    • e-services Integration
    • Filtering and Summarization
  • Data Science and Applications
    • Data Analytics
    • Semantic Web Services
    • Large Language Models (LLMs)
    • New Query Language Interfaces
    • Cloud Computing and Data Science
    • Sensor data and Computing in IoT
  • Cyber Systems and Information Assurance
    • Work-flow
    • Data security
    • Blockchain
    • Cloud Computing and Security
    • Scientific Computing Systems
    • Privacy

Papers addressing these and closely related issues are invited. We strongly encourage papers that report experimental work and results.

Important Dates

Paper Submission

The manuscripts (2500-4000 words, 10-15 pages (it is a guideline)) should be submitted. Authors are invited to submit PDF files. Each paper should contain an additional cover page in text form. It must include a short extended abstract in free flow in text format, submitted with the paper by planed submission deadline. The address, e-mail and fax numbers of the authors should be included on the text cover page. The selected full papers will be included for publication in the proceedings to be published after the conference. (All Final submissions must be completed by the Camera ready deadline).

Authors are encouraged to include their ORCIDs in the proceedings
The previous BDA proceedings can be found on , SpringerLink
Authors must use the springer Author's Guidelines, at - Author's Guidelines
The system for submitting papers will be announced later.

FOR contacting by Email:

Y. Watanobe
School of Computer Science and Engineering,
University of Aizu,Ikki-machi, Aizu-Wakamatsu City,
Fukushima 965-8580, Japan

Email: yutaka@u-aizu.ac.jp
Fax: +81-242-37-2753


Invited Guest Speakers:
  1. Ms. Vagisha Gupta, Red Piranha, India
    AI-powered Threat Detection
  2. Prof. Milind Purohit, University of South Carolina, USA
    Simulation, Classification, and Classification via Simulation
  3. Prof. Marcin Paprzycki, Systems Research Institute Polish Academy of Sciences, Poland
    NLP for Event and Sentiment Detection
  4. Prof. T. Suzuki, University of Tokyo, Japan
    MHD Turbulence in a Cylindrical Shearing Box
  5. Prof. Maria Ganzha, Warsaw University of Technology, Poland
    Frugal Artificial Intelligence
  6. Dr. Apurva Kulkarni, Prof. Srinath Srinivasa, IIIT Banglore, India
    Introspecting Policy Documents through Semantic Lenses of Sustainable Development Goals
  7. Dr. Siddhartha Asthana, Mastercard, India
    HeteroFormer: A Structure Aware Heterogeneous Graph Transformer
  8. Dr. Chandni Saxena, The Chinese University of Hong Kong, Hong Kong
    AI- Driven Approaches in Drug Discovery
  9. Prof. Paolo Bottoni, Sapienza University of Rome, Italy
    HPC-CLEANSEQ: A tool for contamination removal in RNA-seq data on High-Performance Computing
  10. Dr. Rishabh Kaushal, IGDTUW, Delhi and Maastricht University
    Langle Language Models and its Impact
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