Welcome to Department of Computer Engineering (COE) at King Fahd University of Petroleum & Minerals. Our undergraduate and graduate majors in computer engineering and networking will prepare you for an exciting career. Our department strives to provide an outstanding educational program that enables our graduates to become leaders in their profession and in technology research. You'll get hands-on experience and work with internationally recognized researchers.

Begin your adventure at COE today! Contact our department to talk with an advisor and learn about your academic options at COE.

COE awareness day

The 2nd COE awareness activities was organized by Computer Engineering department of KFUPM on Saturday March 28, 11:00-2:00 PM in Main entrance of Bldg. 6 near the Cafeteria, and on Sunday March 29, 11:00-2:00 in Main entrance of Bldg. 58 near the Cafeteria (Orientation Bldg). All promotion materials including the posters and movies are available here.

Research on telerobotics

Computer Engineering (COE) is one of the department in KFUPM which has done extensive research on telerobotic. The objective is to design an electro-mechanical system that efficiently extends human manipulative capabilities through a computer network. Telerobots can be accessed anywhere and anytime using local networks or Internet. Telerobotics extends human Eye-Hand motion coordination through arbitrary distance and scale (operation at micro or Nano scales) using stereo vision and haptic sensing. Computer-aided tele-operation is based on the use of augmented reality, a technique allowing some graphical models to superimpose on real images to guide online operations. KACST funded one COE project KACST-AT-20-80 on telerobotics. This project received the Kingdom Outstanding Research Project Award, First Degree, Golden, from KACST in 2006.

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Zubair Ahmed Baig

Dr. Zubair Baig graduated from the Computer Engineering Department at KFUPM in January 2002 with highest honors. Subsequently, he secured a place in the graduate program in the department of electrical & computer engineering at the University of Maryland, College Park, USA. He worked as a teaching assistant during his M.S. program, and pursued his research interests in the field of \'Distributed Denial of Service Attack Prevention on the Internet\' He secured a dual scholarship to pursue a PhD in Computer Science from Monash University in Melbourne Australia, whereupon he commenced his studies in March, 2005. His area of research during his PhD program was \'Distributed Denial of Service Attack Detection in Wireless Sensor Networks\' His thesis focused on the design of light-weighted pattern recognition techniques for attack detection. In addition, he also conducted research in the field of Secure interfacing of High Performance Grid computers with end devices (including sensors). He worked as a Lead Investigator in the Australian Federal Government\'s DART project for Secure Data Acquistion in High Performance Grid Computers. Dr. Baig worked as an Information Security Specialist with Fraud Management Technologies, Melbourne, Australia from September 2007 till September 2008. He designed a Neural Network-based online Fraud detection system for banks and financial institutions. He worked as a PostDoctoral Research Fellow with the Royal Melbourne Institute Of Technology from October 2008 till January 2009, in the School of Mathematics and Geospatial Sciences. His research involved the proposal of efficient detection techniques for obfuscated Internet malware. Dr. Baig has been included in the Marquis Who\'s Who in the World, 2009 edition. Dr. Baig is also the author/co-author of 3 book chapters, and 7 conference and journal papers.

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