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Dear CCSE Community,

You are all cordially invited to attend this week’s two seminars by our CCSE graduate students. This week we also have a seminar by Dr. Basem Shaker Al-Madani from the COE department. The seminars will take place November 12 at 2:30 pm in Building 22: Room 119. This week’s seminars are:

Seminar 1

Title: Automatic Vehicle Location and Monitoring System

Abstract: Road transport coming towards city of Makkah in Saudi Arabia based on data distribution service. This service is a real time publish/subscribe middleware. Using this middleware approach, we are able to locate and track a huge number of mobile vehicles and identify pilgrims for an annual Islamic gathering in the Holy City of Makkah. Performance results are demonstrated for LAN, WLAN and Bluetooth over data distribution service (DDS).

Speaker: Dr. Basem Almadani

Bio: Dr. Basem Almadani joined KFUPM in 2007 and Chaired Computer Engineering Department between 2009 and 2014. Before that, he was an assistant professor in Automation Institute at Montan University of Austria after receiving his PhD from the same university. Dr. Basem spent 12 years in the industry locally and internationally. He served in SABIC for four years and in several companies in Austria for another 8 years. His specialization is in Real-Time Mission Critical Systems and Middleware software. His areas of interest are Command and Control Systems (C4I-SR), WSN, and E-Government.

Seminar 2

Title:  Research on Apache Hadoop

Abstract: Hadoop is a very well-known solution when it comes to Big Data concept; Recently Hadoop community produced many studies, publications, conferences that contributes to the framework development. This makes it difficult for the researchers to identify the areas in the field that needs more investigation. In this seminar we’ll give some background about Hadoop, highlight the main categories of research areas, and how the future of research in this field will look like.

Speaker:  Loay Abdurrahman Shabaneh

Bio: Mr. Loay Abdurrahman Shabaneh is a M.s student in computer science, ICS department at King Fahd University of Petroleum and Minerals, earned my B.s degree in computer science and information systems from Philadelphia University Amman-Jordan 2001, areas of interest is: database, applied computing, and operating systems.

Seminar 3

Title:  Recent Machine Learning Implementations to Detect Botnets

Abstract: Recent security reports showed that a significant portion of cyber-attacks are carried out by botnets. Botnets are set of compromised machines that are infected and controlled by an attacker without owner’s knowledge. Traditional malware attempt to take down the target machine, thus they have heavy network fingerprint. In contrast, the attacker (bot master) aims to employ the target machine (the bot) which makes the malicious traffic stealthier and difficult to detect. Consequently, some researchers from security discipline used machine learning techniques (due to its proven quality) to tackle the problem of botnet detection. In this seminar, we will explore some recent implementations of machine learning to detect botnet traffic.

Speaker:  Mashaan Awad Alshammari

Bio: Mr. Mashaan is a master student in computer science department at KFUPM. He received his undergraduate degree in Information and Computer Science (ICS) back in June 2010 from University of Hail. Mashaan worked for two years at Saudi Basic Industries Corporation (SABIC) as a system engineer before joining University of Hail as a teaching assistant. His research interests focus on evolutionary algorithms and machine learning.

Regards,

Dr. Mohamed El-Attar

Associate Professor :: Software Engineering

Information and Computer Science Department

King Fahd University of Petroleum and Minerals

Kingdom of Saudi Arabia