2024 6th International Conference on Advanced Bioinformatics and Biomedical Engineering (ICABB 2024) aims to gather professors, researchers, scholars and industrial pioneers all over the world. ICABB is the premier forum for the presentation and exchange of past experiences and new advances and research results in the field of theoretical and industrial experience. The conference welcomes contributions which promote the exchange of ideas and rational discourse between educators and researchers all over the world. We aim to building an idea-trading platform for the purpose of encouraging researcher participating in this event. ICABB 2024 is welcome qualified persons to delivery a speech in the related fields. If you are interested, please send a brief CV with photo to the conference email box: icabb@cbees.net.


Keynote Speakers


To be added.


Invited Speakers

Assoc. Prof. Xin Zhu

The University of Aizu, Japan

Xin Zhu received the bachelor’s and master’s degrees in biomedical engineering from Tianjin University, China, in 2000 and 2002, respectively, and the Ph.D. degree in computer science and engineering from The University of Aizu, Aizu-Wakamatsu, Japan, in 2006. From 2006 to 2009, he worked as a Postdoctoral Researcher with the Biomedical Information Technology Laboratory, The University of Aizu, where he was an Associate Professor, in 2009. He is currently a Senior Associate Professor with the Biomedical Information Engineering Laboratory, The University of Aizu. He will transfer to Tokyo Medical and Dental University and be a head professor at Department of AI Technology Development, M&D Data Science Center this September. His research interests include biomedical signal processing, cardiac modeling and simulation, biomedical image processing and analysis, and healthcare.

Speech Title: "Medical Image Analysis in Flexible Endoscopic Evaluation of Swallowing"

Abstract: Flexible endoscopic evaluation of swallowing (FEES) is considered the gold standard in diagnosing oropharyngeal dysphagia. Recent advances in deep learning have led to a resurgence of artificial intelligence-assisted computer-aided diagnosis (AI-assisted CAD) for a variety of applications. AI-assisted CAD would be a remarkable benefit in providing medical services to populations with inadequate access to dysphagia experts, especially in aging societies. In this presentation, I will introduce an AI-assisted CAD named FEES-CAD for aspiration and penetration detection on video recording during FEES. FEES-CAD segments the input FEES video and classifies penetration, aspiration, residue in the vallecula, and residue in the hypopharynx based on the segmented FEES video. To the best of our knowledge, FEES-CAD is the first AI-based system that achieves expert-level performance in detecting aspiration and penetration. An prospective observatory study was also performed to confirm the usefulness of the proposed system in assisting medical staff in the diagnosis of penetration, aspiration, residue in the vallecula, and residue in the hypopharynx.

Assoc. Prof. Daniele Takahashi

Bahia Federal University, Brazil

Dr. Daniele Takahashi is an Agronomist Engineer, holding a PhD in Agronomy from the University of São Paulo and a Master's degree from the same institution. Her academic journey began with a degree in Agronomy from the Federal University of São Carlos. With a distinguished career, Dr. Daniele Takahashi has served as the Head of Department at Bahia Federal University from 2020 to 2022. Currently, she is an esteemed Associate Professor at the Federal University of Bahia, where her research delves into the intricate mechanisms of biomolecules. Dr. Daniele Takahashi contributions extend beyond the academic realm. She actively leads projects focused on the development of innovative technologies for teaching biochemistry. Additionally, her commitment to education is underscored by her role as the coordinator of the Pedagogical Support Group at the Health Sciences Institute.


Assoc. Prof. Ye Ai

Singapore University of Technology and Design (SUTD), Singapore

Dr. Ye Ai is currently an Associate Professor with tenure at Singapore University of Technology and Design (SUTD). Prior to joining SUTD as an Assistant Professor in 2013, he worked as a postdoctoral researcher at the Bioscience Division of Los Alamos National Laboratory from 2011 to 2013. He was a visiting scholar at Massachusetts Institute of Technology from 2014 to 2015. He has been selected as 2019 Lab on a Chip Emerging Investigator by the journal of Lab on a Chip and listed among the top 2% scientists in a global list by Stanford University from 2021 to 2023. Associate Professor Ye Ai’s research interest focuses on developing innovative microfluidic technologies and biomedical devices for solving challenging biological and medical problems. His research group has developed precise acoustic tweezing technology for single cell manipulation, biophysical cytometry for multidimensional label-free single cell analysis, and microfluidic molecular diagnostic devices. Multiple technologies and IPs from Dr. Ai’s research have been licensed for commercialization.