In an era of explosive volumes of data, the fusion of informatics, predictive analytics, and computing stands as a beacon of transformative potential. The innovation landscape is undergoing a paradigm shift driven by the strategic utilization of data to inform decision-making processes. Within this context, Research Center for Data and Information Sciences, BRIN, organizes the 11th International Conference on Computer, Control, Informatics and its Applications (IC3INA) 2024 with the theme:

“Data-driven Innovation: Informatics in Predictive Analytics and Computing”.

The IC3INA 2024 aims to delve into the intricate intersections of informatics, predictive analytics, and computing, exploring how the symbiotic relationship among these domains propels innovation across diverse industries.

This year, the IC3INA 2024 will be held as a hybrid conference and broadcast live from Bandung, Indonesia, on 9 and 10 October 2024. This conference will be held with sponsorship from the IEEE Indonesia Section. Currently, the proceedings of IC3INA 2024 are also planned to be published by IEEE in the same year, 2024. However, there is no guarantee that the content will be published in Xplore® and indexed in Scopus.

Woojoo Lee, PhD

Department of Public Health Science,  Seoul National University, South Korea

Topic : Sensitivity analysis for unmeasured confounding in observational studies

Woojoo Lee is an Associate Professor at Seoul National University’s Graduate School of Public Health, renowned for his contributions to statistical research in public health and epidemiology. He earned his Ph.D. in Statistics from Seoul National University in 2010, after completing his Bachelor of Science in Physics in 2003. Following his doctoral studies, Lee pursued a postdoctoral fellowship at the Karolinska Institutet’s Department of Medical Epidemiology and Biostatistics from 2010 to 2012, where he further refined his expertise. Lee’s research spans various critical areas, including causal inference, meta-analysis, medical statistics, epidemiological methods, multivariate analysis, mixed models, and nonstandard likelihood asymptotics. His work addresses complex challenges in public health research, ranging from elucidating causal mechanisms behind diseases to synthesizing evidence for healthcare interventions and policies. Through his dedication to advancing statistical methodologies and mentorship of students, Lee’s impact extends beyond academia, making significant strides toward improving global health outcomes.

Prof. Rung Ching Chen

Department of Information Management, Chaoyang University of Science and Technology, Taiwan

Topic : Road Environment Understanding from Traffic Signs Detection and Road Conditions Using Deep Learning Methodology

RUNG-CHING CHEN received the B.S. degree from the Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, in 1987, the M.S. degree from the Institute of  Computer Engineering, National Taiwan University of Science and Technology, in 1990, and the Ph.D. degree in computer science from the Department of Applied Mathematics, National Chung Hsing University, in 1998. Prof Rung-Cheng Chen is currently a Distinguished Professor in the Department of Information Management at Chaoyang University of Technology, Taichung, Taiwan. He is listed in the Top 2% of Scientists Worldwide in A.I. by Stanford University. His research concerns include network technology, pattern recognition, knowledge engineering, the Internet of Things, data analysis, and artificial intelligence.

Amanah Ramadiah, PhD

Financial Network Analytics Ltd, United Kingdom

Topic: Fraud Investigation and Detection using Graph AI

Amanah Ramadiah is a Data Science Lead at FNA who leads the delivery and development of Supervisory Technology (Suptech) solutions for central banks in the Asia-Pacific region. At FNA, she co-developed an agent-based simulation of Central Bank Digital Currencies.  Currently, she is an adjunct faculty member at the Faculty of Economics and Business, Universitas Indonesia. She enjoys doing interdisciplinary research at the interface between computer science, finance, and economics. Her research interests are systemic risk, financial stability, and digital money. In the past, She was a visiting scholar at the Bank of England and the International Monetary Fund. She holds a PhD in Financial Computing from University College London, an MSc in Financial Risk Management from University College London, and a BSc in Computer Science from Universitas Indonesia.

Dr. Abel Armas Cervantes

School of Computing and Information Systems, The University of Melbourne, Australia

Topic : Unleashing the Power of Process Mining for Data-Informed Process Improvements

Abel Armas Cervantes is a Lecturer at the School of Computing and Information Systems at The University of Melbourne. Previously he was a postdoctoral research fellow at the Queensland University of Technology, where he was part of the Business Process Management Group. He obtained his PhD in Computer Science, as well as his Master’s in Software Engineering from the University of Tartu. His research expertise encompasses diverse domains, focusing on business process analytics, process mining, and social network analysis. At present, Abel is actively engaged in research that centers around the development of process mining tools and techniques for education. His primary objective is to analyze data extracted from learning management systems, employing extracted insights to enhance the teaching and learning experience.

Dr.-Ing. Sakriani Sakti
Nara Institute of Science and Technology, Japan
Topic : (to be announced)

Sakriani Sakti is a distinguished researcher currently serving as the head of the Human-AI Communication, Co-Learning, & Collaborative Intelligence (HA3CI) Research Laboratory at the Japan Advanced Institute of Science and Technology (JAIST). She holds the position of associate professor at JAIST and adjunct associate professor at the Nara Institute of Science and Technology (NAIST) in Japan. Additionally, she is a visiting research scientist at the RIKEN Center for Advanced Intelligent Project (RIKEN AIP) in Japan and an adjunct professor at the University of Indonesia. Dr. Sakti has had a remarkable academic journey, earning her Ph.D. in 2008 and actively participating in international collaboration activities, including research projects and leadership roles within organizations related to speech technology and under-resourced languages. Her extensive research interests encompass deep learning, graphical models, statistical pattern recognition, machine speech chains, zero-resourced speech technology, multilingual speech recognition and synthesis, social-affective dialog systems, and cognitive communication. She is a prominent figure in the field of human-AI communication and collaborative intelligence. With a distinguished career marked by academic achievements, international collaborations, and contributions to under-resourced language technologies, she continues to make significant strides in understanding and applying speech and language technologies. Her leadership roles in various professional organizations and editorial positions reflect her.

Dr. Foni Agus Setiawan

Research Center for Data and Information Sciences, National Research and Innovation Agency (BRIN), Indonesia

Topic : Bayesian Knowledge Graphs: Incorporating probabilistic information into knowledge graphs

FONI A. SETIAWAN received the Bachelor and M.S. degree in computer science. His Ph.D. degree is also in computer science from Universitas Indonesia, Jakarta, in 2019. From 2005 to 2009, he served as a software development consultant at a multinational bank in Jakarta. Since 2009, he has served as a researcher at the Research Center for Informatics, National Research and Innovation Agency (BRIN), part of which is now the Research Center for Data and Information Science. He is the author of six books, more than 40 articles, and more than five inventions. His research interests include artificial intelligence, knowledge engineering, semantic web, and uncertainty reasoning. Dr. Setiawan is a national journals (SINTA) assessor and editor-in-chief of the Informatics Research journal (Jurnal Riset Informatika). He is a reviewer of IEEE Access, Journal of Engineering, Indonesian Journal of Articial Intelligence and Data Mining (IJAIDM), Jurnal Ilmu Pengetahuan dan Teknologi Komputer (JITK), and Krea-TIF.

Submission Guidelines

1. IC3INA follows IEEE Policy on Authorship, Peer Review, Readership, and Conference Publication. Please find the complete guideline at https://www.ieee.org/conferences/publishing/templates.html 
2. The purpose of a conference template is to provide a consistent format for papers appearing in the conference proceedings. IEEE strongly encourages the use of the conference manuscript templates provided below. 
3. IEEE conference templates contain guidance text for composing and formatting conference papers. Please ensure that all guidance text is removed from your conference paper prior to submission to the conference. 
4. Please be advised that we adopt IEEE no-show policy for non-presented paper (source: IEEE-Handling of Non-Presented Papers). IEEE reserves the right to exclude a paper from distribution after the conference, including IEEEXplore Digital Library, if the paper is not presented by the author at the conference.
5. Failure to remove template text from your paper may result in your paper not being published.
6. Paper Format – Papers submitted to IC3INA 2023 must consist of 4-6 written pages, including pictures, tables, papers, and references. Papers that exceed 6 pages will not be considered for evaluation and acceptance. The author is responsible for ensuring that the submitted paper has a style, font, etc. in accordance with the IEEE Proceedings format. The papers submitted must be in PDF format.
7. Paper Submission Procedure – Paper submission through the EDAS system https://ic3ina2024.edas.info/
8. Plagiarism Checking – iThenticate which is included in the EDAS system. The similarity score is a maximum of 20 %
9. Copyright – The IEEE e-Rights Grid (or the article/author information on the e-Rights Form) to ensure that the title, authors, and email address are accurate. As the completed forms are a contract between IEEE and the authors, we must have the correct information within the form before IEEE can publish the article.

According to IEEE policy, each paper must be presented by one author of the paper. Therefore, if your paper is accepted, one of the authors is required to register and present their paper at the IC3INA 2024 conference.

Important! Please take note that IEEE has a strict policy on no-show. Papers with no-show participants without a valid reason will not be submitted to IEEE Xplore. No refund of the paid fees may be claimed by the no-show author.

Conference Tracks

Data Science

Statistics, Big Data Analytic, Sentiment Analysis, Computational linguistics, Natural Language Processing, Speech Recognition, Knowledge Data Engineering, Augmented Reality/Virtual Reality, Human and Computer Interaction, Computer Graphics and Visualization, Metaverse, Digital Twin, Information and Content-Based Retrieval, Information Discovery, Ontology, Knowledge Graph

Informatics and Data Processing

Artificial Intelligence, Machine Learning, Neural Network, Mobile and Cloud Computing, Software Engineering, Database Systems, Formal Method in Software Engineering, Data Mining, Image Processing, Computer Vision, High Performance Computing, Pattern Recognition, Object Recognition

Information Communication Technologies (ICTs) Applications

Bioinformatics, E-Business, Tele-medicine, E-Tourism, E-Learning, Intelligence Building, Information Systems, Biomedical Engineering, Digital Government, Computer Security, Geographic Information System

Computer, Networking, and Control

Computer Systems, Computer Communication and Networking, Distributed and Parallel Infrastructure, Computer Interfacing, Embedded System, Wireless Sensor Network, Network Security, Signal Processing, Micro(processor/controller) System, Intelligence Control Systems, Fuzzy Control Systems, Control Theory, Real Time Control Systems

Previous IC3INA conferences have been successfully held in 2013, 2014, 2015, 2016, 2017, 2018, 2019, and 2023. which have been published in IEEExplorer proceedings and indexed by SCOPUS. Meanwhile, in 2021, and 2022 all papers have been published in the ACM Proceedings Digital Library and indexed in SCOPUS. The following are the previous conferences proceedings.

1. IC3INA 2013   |   Proceedings
2. IC3INA 2014   |   Proceedings 
3. IC3INA 2015   |   Proceedings
4. IC3INA 2016   |   Proceedings 
5. IC3INA 2017   |   Proceedings
6. IC3INA 2018   |   Proceedings 
7. IC3INA 2019   |   Proceedings 
8. IC3INA 2021   |   Proceedings
9. IC3INA 2022   |   Proceedings   |   Conference Website
10. IC3INA 2023   |   Proceedings   |   Conference Website

Research Center for Data and Information Sciences

Research Organization for Electronics and Informatics

Indonesian National Agency for Research and Innovation Center (BRIN)

BRIN Campus, Jl. Sangkuriang, Cisitu, Bandung, West Java, Indonesia 40135.

e-mail: ic3ina@brin.go.id 

phone-number: +6281119333608

instagram: @ic3ina