History
2023 7th International Conference on Computational Biology and
Bioinformatics (ICCBB 2023) held successfully in virtual during December
11-13, 2023.
Publication:
ACM Conference Proceedings (ISBN: 979-8-4007-1633-1), indexed by
Ei Compendex and
Scopus
Opening Remarks-Prof. Malarvili Balakrishnan, Universiti Teknologi
Malaysia, Malaysia
Keynote Speaker-Prof. FangXiang Wu, University of Saskatchewan,
Canada
Speech Title: "Deep Learning for Biomarker Discovery"
Keynote Speaker-Prof. Tjokorda Gde Tirta Nindhia, Udayana
University, Indonesia
Speech Title: "Development Device for The Assessment of Asthma
Using Newly Develop Respiratory CO2 Measurement Device Based
on Diverting Method"
Invited Speaker-Prof. Patrick Emmanuel Meyer, University of
Liege, Belgium
Speech Title: "All-Cause Mortality and Covid-19 Vaccinations in
European Populations under 65 Years Old"
Invited Speaker-Assoc. Prof. Shweta Gupta, Woxsen University,
India
Speech Title: "Effect of Indian Food on Cognitive Disease Treatment"
Best Presentation: Discrete Wavelet Transform Based Multiview
Screening Analysis of scRNA-seq Data Enhance Early-Stage Lung
Adenocarcinoma Separation in Lung Tumor Microenvironment Ecotyping
Daniel Li, Luke Peng, Yongzhong Zhao, Tong Liu, and Xiaodi Wang
Western Connecticut State University, USA
Best Presentation: Design of a Pulsed-Wave Doppler Ultrasound
Blood Flow Detector Based on a Programmable System-on-Chip (PSoC)
Demetrio Fabian Garcia Nocetti, Pedro Jesus Acevedo Contla,
Martin Fuentes Cruz, and Adalberto Joel Duran Ortega
Universidad Nacional Aut¨®noma de M¨¦xico, Mexico
Participant Screenshot
2022 6th International Conference on Computational Biology and
Bioinformatics (ICCBB 2022) held successfully in virtual during December
26-28, 2022.
Publication:
ACM Conference Proceedings (ISBN:
978-1-4503-9763-6), indexed by
Ei Compendex and
Scopus.
Opening Remarks-Prof. Tjokorda Gde Tirta Nindhia, Udayana University,
Indonesia
Keynote Speaker-Prof. Hesham H. Ali, University of Nebraska at
Omaha, USA
Speech Title: "A Data Driven Approach for the Analysis of
Behavioral Disorders Using Wireless Sensors and Mobility Data"
Keynote Speaker-Prof. Wing Kin Sung, National University of
Singapore, Singapore
Speech Title: "Repeat aware Structural Variation Calling and its
Application in Arabidopsis"
Best Presentation: Augmented Pre-Segmentation Method for Medical
Image Dataset Based on Machine Vision
Han Sun, Zhijun Yang, Dapeng Zhou, Jiawei Yang, and Xuan Huang
Guangdong University of Technology, China
Best Presentation: Wavelet-Based Microbiome Correlations of Host
Traits
Adeethyia Shankar, Stephanie Chang, Yongzhong Zhao, Xiaodi Wang,
and Tong Liu
Western Connecticut State University, USA
Participant Screenshot
2021 5th International Conference on Computational Biology and
Bioinformatics (ICCBB 2021) held successfully in virtual during December
26-28, 2021
Publication:
ACM Conference Proceedings (ISBN:
978-1-4503-8744-6), indexed by
Ei Compendex and
Scopus.
Participant Screenshot
2020 4th International Conference on Computational Biology and
Bioinformatics (ICCBB 2020) held successfully in virtual during December
27-29, 2020
Publication:
ACM Conference Proceedings (ISBN: 978-1-4503-8844-3), indexed by
Ei Compendex and
Scopus.
Group Photo
2019 3rd International Conference on Computational Biology and
Bioinformatics (ICCBB 2019) held successfully in Nagoya City University,
Nagoya, Japan during October 17-19, 2019
Publication:
ACM Conference Proceedings (ISBN:
978-1-4503-7681-5), indexed by
Ei Compendex and
Scopus.
Group Photo
More photos can be downloaded
Here.
Best Presentation
Session 1
N2015
Prediction of 3D Body Parts from Face Shape and Anthropometric
Measurements
Alessio Gallucci, Dmitry Znamenskiy
and Milan Petkovic
Eindhoven University of Technology, Netherlands
Session 2
N2030
NR-GAN: Noise Reduction GAN for Mice Electroencephalogram Signals
Yuki Sumiya, Kazumasa Horie, Hiroaki
Shiokawa and Hiroyuki Kitagawa
University of Tsukuba, Japan
Session 3
N0005
Prediction of Hepatic Steatosis (Fatty Liver) Using Machine Learning
Ridhi Deo and Suranjan Panigrahi
Purdue University, USA
Session 4
N2002
A Novel Lesion Segmentation Method Based on Breast Ultrasound Images
Xiaoyan Shen, Jiaxin Liu, Hong Li,
Hang Sun and He Ma
Northeastern University, China
Session 5
N0004
Sequence to Sequence with Attention for Influenza Prevalence Prediction
Using Google Trends
Kenjiro Kondo, Akihiko Ishikawa and
Masashi Kimura
University of Tokyo, Japan
2018 2nd International Conference on Computational Biology and
Bioinformatics (ICCBB 2018) held successfully in Polytechnic University
of Bari, Bari, Italy during October 11-13, 2018
Publication:
ACM Conference Proceedings (ISBN: 978-1-4503-6552-9), indexed by
Ei Compendex and
Scopus
Group Photo
Opening Remark and Keynote Speech
Best Presentation
Session 1
B1002
Machine Learning and DSP Algorithms for Screening of Possible
Osteoporosis Using Electronic Stethoscopes
Jamie Scanlan, Francis F. Li, Olga
Umnova, Gyorgy Rakoczy and N¨®ra Lövey
University of Salford, United Kingdom
Session 2
B0018
Lung Segmentation Using a Fully Convolutional Neural Network with Weekly
Supervision
Yuan Huang and Fugen Zhou
Beihang University, China
Session 3
B1005
Effect of Low Intensity Ultrasounds on Mg-63 Osteosarcoma Cells
C. Pappalettere, L. Lamberti, C. Cianci,
L. Lo Muzio, G. Illuzzi, V. C. A. Caponio, and D. Ciavarella
University of Bari, Italy
Session 4
B0007
ECG Monitoring and Anomaly Detection Based on Compressed Measurements
Alessandra Galli, Claudio Narduzzi
and Giada Giorgi
University of Padova, Italy
2017 1st International Conference on Computational Biology and
Bioinformatics (ICCBB 2017) held successfully in Newark, USA during
October 18-20, 2017
Publication:
ACM Conference Proceedings (ISBN: 978-1-4503-5322-9),
indexed by
Ei Compendex and
Scopus.
Keynote Speech
Certificate Announcement
Visit to Kean University
Best Presentations
Session 1
Q0010
Using Deep Learning for Melanoma Detection of Dermoscopy Images
Julie Ann Salido and Conrado Jr. Ruiz
De La Salle University, Philippines
Session 2
Q0007
Improving Classification Performance by Combining Feature Vectors with a
Boosting Approach for Brain Computer Interface (BCI)
Rachel Rajan and Sunny. T. D.
Government Engineering College, India
Session 3
Q0018
Fatigue Analysis in Biceps Brachii Muscles Using sEMG Signals and
Polynomial Chirplet Transform
Diptasree Maitra Ghosh and Ramakrishnan Swaminathan
Indian Institute of Technology Madra, India
