CCIS News


AI&GameDev Showcase

SmartTech 2022 An International Conference on Smart Systems and Emerging Technologies

Oracle Saudi Arabia invited CCIS students to visit their offices in Alfaisaliya towers

IEEE Student Branch Elections 2022

Invitation to Particpate in Programming Jam 7.0

Ramadhan Class Schedule 1443 H. (2022 G.)

Net Zero Emission and Transition Towards Climate-Neutral Economies: The Role of Higher Education and Saudi Vision 2030

Staying safe and secure: how Prince Sultan University’s cybersecurity transformation benefits students and society

Programming JAM 7.0 Dates Announced

Prince Sultan University Translation Award for Students - A.Y. 2021-2022

Prince Sultan University Translation Award for Faculty - A.Y. 2021-2022

CCIS OPEN DAY

PSU Celebrates the Graduation of Three Classes of Bachelor’s and Master’s Degree Recipients at Marsool Park

CDMA 2022 Submission Dates Extended to November 20

CCIS College Praises its Faculty Members for being listed in Top2% in world

CCIS students are currently participantinIEEEXtreme 15.0

CDMA 2022 Dates announced

Programming Jam Ceremony 6.0

VMware MoU Ceremony

Course in CyberSecurity ISO27001 Compliance System

Dr. Ahmad received Abdul Hameed Shoman Arab Researcher’s Award 2020

CS students recevied PSU Outstanding Student Awards

Student acheived as CAPM ceritifed

Join us for IEEEXtreme Competion

ABET Accreditation for CS and IS Programs

CCIS - Term 201 on Campus Courses and Labs

Under the C4C Initiative: 22 Student from Information Systems Major Passed Professional Certification Exams

PSU Computer Science Students Participates in STC Datathon

PSU SAP Next Gen Lab

Cybersecurity Palo Alto Academy

Women in Data Science (WiDS)

"Turning Bold Ideas into Reality with a Purpose-Driven Mindset" PSU SAP Next Gen

The CyberSecurity Club Conducted the First Workshop of the Series Entitled "HACK IT. CTF 101"

MENA INFORMATION SECURITY CONFERENCE- HACKATHON 2018

The Launching of Security Engineering Lab

Artificial Intelligence and Data Analytics (AIDA)

​​First Interdisciplinary lab at Prince Sultan University​ The Artificial Intelligence and Data Analytics (AIDA) lab will be the first interdisciplinary lab at Prince Sultan University (PSU). It would open new opportunities for interdisciplinary collaboration which is strongly encouraged as part of university's strategy for 2030. The AI &Data Analytics research lab aims to provide high quality, cutting-edge research contributions by unifying the fields of statistics, data analysis, machine learning and artificial intelligence in order to understand and analyze actual phenomena with data. The research produced would contribute in enhancing PSU's visibility and promote interdisciplinary research incorporating local and international partnerships. The lab will facilitate professional trainings, workshops and conferences in-house and in cooperation with other institutes, companies or research centers to provide the training to PSU members and society. Professional certificates can be offered for interested students. The following training would be arranged since they are the most appealing for Data Science professionals. The decisive objective is to contribute in the Kingdom 2030 initiatives for the strategic objectives of health sector, education field and energy sector to support the vibrant digitized society. Main themes &Interdisciplinary Research Areas for AIDA Data Science Pattern recognition & image processing Computational intelligence Descriptive Analytics – Clustering, Segmentation, Visualization Predictive Analytics – Classification, Regression, Case-based reasoning, AI algorithms The leader of AIDA is Dr. Tanzila Saba, Associate Chair Information Systems Department. Dr.Tanzila Saba received her PhD degree in Document's Information Security and Management from Faculty of Computing Universiti Teknologi Malaysia (UTM), Malaysia in 2012 and won the best student award in the Faculty of Computing UTM 2012. She received the UNESCO, TWAS and HEC scholarships for outstanding research output. Her focused research area is Machine Learning including health informatics, text mining, forensic documents analysis & security. She has published more than 150 research articles and around 100 research papers are Scopus/ISI/SCIE indexed. Due to her excellent research achievement, she is included in Marquis Who's Who 2012. She has been awarded the Outstanding Research Recognition award consecutively for 2014, 2015 & 2016 in Prince Sultan University. Dr.Tanzila is also the PSU ambassador for Women in Data Science (WiDS) Conference at Stanford University. Currently the members of the lab include 12 faculty from the College of Computer and Information Sciences, 4 faculty with a background in Mathematics, Statistics and Humanities and 10 members collaborating from other International universities.