CONF-CDS 4th

The 2022 International Conference on Computing and Data Science (CONF-CDS 2022) was held from July 16 to 25, 2022. The accepted papers will be published in conference proceedings and submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, CNKI, Portico, Inspec, Scopus, Google Scholar, and other databases for indexing. Prof. Chengzhong Xu from University of Macau, Prof. Tanzila Saba from Prince Sultan University, Prof. Li Xiong from Emory University, and Prof. Lewis Tseng from Boston College, Massachusetts have given keynote speeches on related topics of machine learning, big data management, state-machine replication, and autonomous driving. Also, we invited authors of qualified papers to deliver oral presentations at the online conference. 15 authors have presented their studies of image data visualization, machine learning, convolutional neural network, and ICP algorithm. Questions from the audience were collected and answered by the presenters. This conference provided the participants with good opportunities to exchange ideas and build networks, and it will lead to further collaborations between both universities and other societies.

Highlights

Title: Connected Autonomous Driving: Challenges and Opportunities
Presented by:Prof. Chengzhong Xu, Computer Science, University of Macau
Title:Trustworthy Machine Learning with Differential Privacy and Certified Robustness
Presented by: Prof. Li Xiong, Computer Science and Biomedical Informatics, Emory University
Title:Making Distributed Systems Robust: High-performance State-Machine Replication
Presented by: Prof. Lewis Tseng, Department of Computer Science, Boston College
Title: Secured Big Data Modern Management for Decision-oriented Medical Systems Using Internet of Things
Presented by: Prof. Tanzila Saba, Associate Chair Information Systems Dept., Prince Sultan University
Title:Image Data Visualization Using t-SNE for Urban Pavement Disease Recognition
Presented by:Mr. Siyu Huang, University of Wisconsin Madison
Title:Pakparse: Machine Translation from Text to Pakistan Sign Language for Effective Communication with Deaf People
Presented by: Mr. Haseeb Ahmad, National Textile University
Title: Machine Learning Approach for Sentimental Analysis of Product Reviews
Presented by:Ms. Seepana Kanchana, GMRIT
Title: The Influence of Typeface and Case on Critical Care Systems Performance (Medical Ventilator)
Presented by: Mr. Moneeb Ahmed, National Textile University Faisalabad
Title: Hybrid Spam Message Detection Using Convolutional Neural Network and Long Short-Term Memory Techniques
Presented by: Mr. Samuel Olotu, Federal University of Technology Akure
Title: A SLAM-oriented Taxonomy of ICP Algorithm (Synthesis)
Presented by: Mr. Hao Bai, Zhejiang University
Title: Sign Language Translation Using Machine Learning
Presented by: Mr. Pallavi Pareek, GMR
Title: Tomato Leaf Disease Classification Using AlexNet
Presented by:Mr. Vasantha Kumar K, Kongu Engineering College