Dr. Muhammad Kashif Shaikh

Engr. Dr. Muhammad Kashif Shaikh

Assistant Professor

(021) 34988000 Ext: 326
https://www.linkedin.com/in/m-kashif-shaikh-15b47528/

Online Publications

Department (s)

Education

Masters
Software Engineering
Sir Syed University of Engineering and Technology, Karachi, PAKISTAN

Bachelor’s
Computer Engineering in 2000
Sir Syed University of Engineering and Technology, Karachi, Pakistan

Awards & Honors
Biography

He completed his Ph.D. at the Malaysia University of Science and Technology, Kuala Lumpur, Malaysia. His research areas are data mining, machine learning, deep learning, IoT, sensors, project management, and mobile application. Besides this, he is a pure academician and part of the different professional academic forums for the betterment of education at the country level, he is also a part of smart city and automation projects. Shaikh received his Bachelor’s degree in Computer Engineering in 2000 and Master’s degree in Software Engineering in 2007, respectively from Sir Syed University of Engineering and Technology, Karachi, Pakistan. He completed his Ph.D. at the Malaysia University of Science and Technology, Kuala Lumpur, Malaysia. His research areas are data mining, machine learning, deep learning, IoT, sensors, project management, and mobile application. Besides this, he is a pure academician and part of the different professional academic forums for the betterment of education at the country level, he is also a part of smart city and automation projects.

Engr. Muhammad Kashif Shaikh holds BS ( Computer Engineering ) in 2000 and
MS ( Software Engineering ) in year 2006 from Sir Syed University of Engineering and Technology.
Presently working as Assistant Professor in Software Engineering Department in Sir Syed University of Engineering and Technology, Karachi.
Apart from teaching, Mr. Shaikh is also associated with Pakistan Engineering Council as Chairman Task force committee and follow member of Institution of Engineers, Pakistan.

Publications

Performance Assessment of High Availability Clustered Computing using LVS NAT

• Big Data
• Data Sciences and Engineering
• Mobile Application Development
• Cluster and Grid Computing
• Critical and high availability computations
• Wireless sensor network
• Tensor flow
• Artificial Intelligence
• Virtual reality
• Image Processing

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