Web Portal for Student and Teacher Management

The aim is to make an online web portal for Computer Science Department, so that everyone can get information about department, students can easily communicate with teachers from anywhere. Teachers can easily communicate with students, and can keep records of every student easily and efficiently. The proposed system could be accessed from any corner of the world on net. Keywords: Student, Agile, Webserver

Large scale services for connecting and integrating hundreds of linked datasets

Michalis Mountantonakis is a Postdoctoral Researcher of the Information Systems Laboratory at FORTH-ICS (Greece) and a Visiting Lecturer in the Computer Science Department at University of Crete (CSD-UoC), Greece. He obtained his PhD degree from the CSD-UoC in 2020. His research interests fall in the areas of large-scale semantic data integration, linked data and semantic data management. The results of his research have been published in more than 20 research papers. For his dissertation, he awarded a) the prestigious SWSA Distinguished Dissertation Award 2020, which is given to the PhD dissertation from the previous year with the highest originality, significance, and impact in the area of semantic web, and b) the Maria Michael Manasaki Legacy's fellowship, which is awarded to the best graduate student of CSD-UoC, once a year. In his dissertation, supervised by Associate Professor Yannis Tzitzikas (Computer Science Department at University of Crete), Michalis Mountantonakis dealt with the problem of Linked Data Integration at large scale, which is a very big challenging problem. He factorized the integration process according to various dimensions, for better understanding the overall problem and for identifying the open challenges, and proposed novel indexes and algorithms for providing core services, which can be exploited for several tasks related to Data Integration, such as: for finding all the URIs and all the available information for an entity, for producing connectivity analytics, for discovering the most relevant datasets for a given task, for dataset enrichment, and many others.

CS+Social Good

This submission introduces CS+Social Good, a student organization at Stanford University, which works at the intersection of tech and social impact. In this paper, we introduce one of our educational initiatives that might be of interest to the SIGCSE community, focusing specifically on our Studio program, which is offered as CS51 and CS52 from the Stanford University Computer Science Department. For this student-taught class, student teams partner with nonprofits and social ventures to build impactful technical projects over the course of two quarters.