The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
ICBDSEA 2022: 16. International Conference on Big Data in Structural Engineering Applications
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Big Data in Structural Engineering Applications.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Big Data in Structural Engineering Applications
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Big Data in Structural Engineering Applications are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers.
Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
OpenAIRE,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
ICBDSEA 2022 has teamed up with the Special Journal Issue on
Big Data in Structural Engineering Applications.
A number of selected high-impact full text papers will also be considered for the special journal issues.
All submitted papers will have the opportunity to be considered for this Special Journal Issue.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly.
Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor.
To participate as a sponsor or exhibitor, please download and complete the
Conference Sponsorship Request Form.
Selected Papers
-
Feature Analysis of Predictive Maintenance Models
Zhaoan Wang
-
Building an Integrated Relational Database from Swiss Nutrition National Survey and Swiss Health Datasets for Data Mining Purposes
Ilona Mewes, Helena Jenzer, Farshideh Einsele
-
Performance Analysis of Traffic Classification with Machine Learning
Htay Htay Yi, Zin May Aye
-
A Second Look at Gesture-Based Passwords: Usability and Vulnerability to Shoulder-Surfing Attacks
Lakshmidevi Sreeramareddy, Komalpreet Kaur, Nane Pothier
-
Integration of Educational Data Mining Models to a Web-Based Support System for Predicting High School Student Performance
Sokkhey Phauk, Takeo Okazaki
-
Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi
-
An Application for Risk of Crime Prediction Using Machine Learning
Luis Fonseca, Filipe Cabral Pinto, Susana Sargento
-
Improving Fake News Detection Using K-means and Support Vector Machine Approaches
Kasra Majbouri Yazdi, Adel Majbouri Yazdi, Saeid Khodayi, Jingyu Hou, Wanlei Zhou, Saeed Saedy
-
Author Profiling: Prediction of Learners’ Gender on a MOOC Platform Based on Learners’ Comments
Tahani Aljohani, Jialin Yu, Alexandra. I. Cristea
-
Government (Big) Data Ecosystem: Definition, Classification of Actors, and Their Roles
Syed Iftikhar Hussain Shah, Vasilis Peristeras, Ioannis Magnisalis
-
CybeRisk Management in Banks: An Italian Case Study
E. Cenderelli, E. Bruno, G. Iacoviello, A. Lazzini
-
Machine Learning Techniques in Bank Credit Analysis
Fernanda M. Assef, Maria Teresinha A. Steiner
-
The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan
-
Modeling Engagement with Multimodal Multisensor Data: The Continuous Performance Test as an Objective Tool to Track Flow
Mohammad H. Taheri, David J. Brown, Nasser Sherkat
-
Classifying Turbomachinery Blade Mode Shapes Using Artificial Neural Networks
Ismail Abubakar, Hamid Mehrabi, Reg Morton
Structural engineering
Construction engineering and management
Health monitoring
Civil engineering
Environmental engineering
Highway and transportation engineering
Hydraulics and water power engineering
Materials science and engineering
Geotechnical engineering
Earthquake engineering
Coastal and harbor engineering
Tunnel engineering
Surveying and geo-spatial engineering
Geomatics, geosciences, remote sensing, geographical information systems
Information technology in civil engineering
Innovative algorithms, software solutions and methodologies for data collection and analysis of big data
New tools and methods for deploying and managing uncertainty and risk in big data
Big data case studies
Security and privacy of big data
Data-driven optimal planning and scheduling
Data mining
Pattern recognition
Machine learning
Classification
Cluster analysis
Data fusion and integration
Time series analysis
Visualization
Ensemble learning
Optimization
Predictive modeling
Signal processing
Spatial analysis
Outliers identification
Missing data imputation
Cloud computing
| Abstracts/Full-Text Paper Submission Deadline |
|
March 01, 2021 |
| Notification of Acceptance/Rejection |
|
March 15, 2021 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
April 13, 2022 |
| Conference Dates |
|
August 12-13, 2022 |
| Ali Sarrafi Nik |
Islamic Azad Unversity, IR |
| Nasim Fallahi |
Polytechnic University of Turin, IT |
| Sajjad Ahmed |
University of Camerino, IT |
| Moath Jamal Abed Awawdeh |
University of Genova, IT |
| Moath awawdeh |
University of Genova, IT |
| Davide Pierattoni |
University of Udine, IT |
| Giuseppina Gini |
Politecnico di Milano, IT |
| Walaa Khalaf |
Università della Calabria, IT |
| Xiangming Zhou |
Brunel University, UK |
| Asem Hassan |
Durham University, UK |
| Mohammed Rezaul Karim |
Guildhall College, UK |
| Chee Seng Chan |
University of Portsmouth, UK |
| Huseyin Seker |
De Montfort University, UK |
| Rushit Dave |
University Of Wisconsin Eau Claire, US |
| Akansha Kumar |
Texas A&M University, US |
| Mohammad Shekaramiz |
Utah Valley University, US |
| Chung Hyun Goh |
University of Texas at Tyler, US |
| Akilesh Rajavenkatanarayanan |
The University of Texas at Arlington, US |
| Mahdi Imani |
George Washington University, US |
| Arash Mahyari |
Florida Institute For Human and Machine Cognition, US |
| Samir Iqbal |
University of Texas Rio Grande Valley, US |
| Nagdev Amruthnath |
Western Michigan University, US |
| Sergio Davalos |
University of Washington Tacoma, US |
| Mohammad Tahersima |
Oklahoma State University, US |
| Ayush Singhal |
University of Minnesota, Twin Cities, US |
| Naga Usha Gayathri Lokala |
Wright State University, US |
| Thuan Nguyen |
School of Management - University of Texas at Dallas, US |
| Elnaz Lashgari |
California State University and Claremont Graduate University, US |
| Shanshan Tuo |
xAd Inc, US |
| Abdullah Faruque |
Rochester Institute of Technology, US |
| Participation Type |
Early Registration Ticket Fees |
Registration Ticket Fees |
| Non-Student Oral/Poster Presenter Registration |
€ 450 |
€ 500 |
| Student Oral/Poster Presenter Registration |
€ 350 |
€ 400 |
| Listener Registration |
€ 250 |
€ 300 |
| Additional Paper Publication |
€ 100 |
All conference materials and services will be delivered digitally to the participant with the online conference management system.
Conference registration includes the following digital materials and services:
- e-certificates [for Authors: Certificate of Attendance and Presentation; for Listeners: Certificate of Attendance; for Chairs: Certificate of Attendance and Appreciation; for Presenters: Certificate of Best Presentation (if conferred based appraisal)]
- e-program
- e-book
- e-name badge
- e-receipt
- e-presentation
Presentation Types:
-
Physical presentation is an oral conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
-
Digital presentation is a digital conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
Early Bird Registration
Early Bird registration is valid until 2022-04-13 23:59:59
Online Credit Card Processing
Online payment option available for author
and listener delegates.
Conference participants can make online credit card payments for conference registration fees.
