Mohamed Ahmed M Salama

Mohamed Ahmed M Salama

Dean of College of Engineering and Academic Staff in Department of Civil and Architectural Engineering

  • PHONE EXT: 16036273

Personal Profile

Current Position:

 Dean of College of Engineering and Academic Staff in Department of Civil and Architectural Engineering

College / Department:

 College of Engineering / Department of Civil and Architectural Engineering

Academic Status:

 Associate Professor

Area of Specialization:

Nationality:

 Canadian

Education

Academic Qualification Educational Institution Graduate Year
PHD Civil Engineering2012
Master Business Administration 2003
Bachelor Civil Engineering1987

Academic Experience

Position Institution Period
Dean, College of EngineeringApplied Science University / Bahrain2023- Present
Academic Staff, Department of Civil and Architectural EngineeringApplied Science University / Bahrain2021- Present
Acting Dean, College of EngineeringApplied Science University / Bahrain2021 - 2023
Associate ProfessorEBSHeriot Watt University – Edinburgh UK – Dubai Campus2016 - 2021
Acting Associate Head of School of Management &Languages –Heriot Watt University – Dubai Campus.2014 - 2016
Lecturer (Assistant Professor) in School of Built Environment, School of Management and Edinburgh Business School.Heriot Watt University2004 - 2006
- General Contractor-CEO and Partner of Mohandeseen ALL Contracts1989 - 2004
Part-Time Lecturer in Project ManagementAmerican University Cairo2002 - 2004
Board MemberAnglo Egyptian Holding1999 - 2001

Membership of Professional Bodies

Institution Period

Publications

  1. Cybersecurity Risk Management Frameworks in the Oil and Gas Sector: A Systematic Literature Review, 2022.
  2. Red tide monitoring method in coastal waters of Hebei Province based on decision tree classification, 2022.
  3. BIM Engineering Management Oriented to Curve Equation Model, 2022.
  4. Research on threat assessment problems of island air defence system based on the leader-follower model, 2022.
  5. The optimal model of employment and entrepreneurship models in colleges and universities based on probability theory and statistics, 2021.