13th International Conference on Computer Science, Engineering and Information
Technology (CCSEIT 2023)

Venue : Dubai, UAE

February 18 ~ 19, 2023
Program Schedule
February 18, 2023
Session 1:
10.00 – 10.30 AM Design that uses AI to Subvert Stereotypes: Make Witches Wicked Again
Xiaohan Feng and Makoto Murakami (Toyo University, Japan)
10:30 – 11:00 AM Cryptocurrency Price Prediction using Twitter Sentiment Analysis
Haritha G B and Sahana N B (PES University, India)
11:00 – 11:30 AM An Entity Registry: A Model for a Repository of Entities Found in a Document Set
Valerio Bellandi (Università degli Studi di Milano, Italy) and Stefano Siccardi (Consorzio Interuniversitario Nazionale per l’Informatica, Italy)
11:30 –12:00 PM ------------------------ Tea Brak -------------------------
12:00 – 12:30 PM Molecular Design Method based on New Molecular Representation and Variational Auto-encoder
Li Kai, LiNing, Zhang Wei, Gao Ming (Beijing Information Science and Technology University, China)
12:30 – 1:00 PM UAV as Auxiliary Base Station uses Deep Learning to Conduct Research on Network Resource Allocation
Boping Ding and Xiang Yu (Chongqing University of Posts and Tele communications, China)
1:00 – 2:00 PM ------------------------ Lunch Break--------------
Session 2:
2:00 – 2:30 PM Rapid Penetration Test for Securing Channel APIs in Hybrid Cloud (Dynamic Defense of Channel API)
Luiza Nacshon (Senior Security Engineer, Red Hat, Israel) and Anna Sandler (Software Engineer, Red Hat, Washington D.C)
2:30 – 3:00 PM Magnetic Resonance Image Reconstruction using Inception-based Convolutional Neural Network  
Elmira Vafay Eslahi and Amirali Baniasadi (University of Victoria, Canada)
3:00 – 3:30 PM ROS-based Intelligent Vital Sign Monitoring Robot
Yu-Ping Liao, Hong-Xin Wu, Wen-Hsiang Yeh, and Yi-Lin Cheng (Chung Yuan Christian University, Taiwan)
3:30 – 4:00 PM A Survey on IoT-based Smart-Grid Overview
Mehrdad Saffarie and Kheirollah Rahseparfard (Qom University, Iran)
4:00 – 4:30 PM A DFS Algorithm for Maximum Matchings in General Graphs
Tony T. Lee, Bojun Lu and Hanli Chu (The Chinese University of Hong Kong, China)
----------------------- To be Continued --------------