sagheer

Dr. Muhammad Sagheer (PhD UoS, UK)

PROFESSOR / HOD MATHEMATICS
PROFILE SUMMARY

Dr Muhammad Sagheer did his PhD degree in 2005 from university of Sussex , England .He Joined NUST Institute of Information Technology(SEECS).In 2006,Dr. Muhammad Sagheer joined MAJU Islamabad campus, which was later transformed into Capital University of Science and Technology .He was given the responsibilities of Head of Mathematics Department and Director Student Affairs in 2012.His research interests are Computational Fluid Dynamics and Computational Mathematics. Dr. Muhammad Sagheer has published more than fifty research articles in reputed journals.

QUALIFICATION
PhD Mathematics Sussex University, England
MPhil Mathematics Quaid-e-Azam University, Islamabad, Pakistan
MSc Mathematics Quaid-e-Azam University, Islamabad, Pakistan
TEACHING EXPERIENCE
Assistant Professor Mohammad Ali Jinnah University, Islamabad, Pakistan. 2007 – 2010
Assistant Professor NUST Institute of Information Technology, Chaklala Scheme-III, Rawalpindi, Pakistan. 2006 – 2007
Associate Tutorr Departments of Mathematics and Engineering, University of Sussex, England. 2002 – 2005
Associate Professor Mohammad Ali Jinnah University, Islamabad, Pakistan.
Associate Professor Capital University of Science & Technology, Islamabad, Pakistan. 2015 – 2017
Professor Capital University of Science & Technology, Islamabad, Pakistan. Since 2017
MANAGEMENT EXPERIENCE
Head of Mathematics Department Mohammad Ali Jinnah University Karachi, Pakistan
Director Student Affairs Mohammad Ali Jinnah University Karachi, Pakistan
HONORS & AWARDS
1. Rated as ‘Excellent Professor’ for the year 2010, at Mohammad Ali Jinnah University, Islamabad, Pakistan.
2. Letter of Commendation for excellent teaching from the Director General, NUST Institute of Information Technology, in 2006.
3. The TROSS scholarship for Ph.D. offered by the Ministry of Science and Technology, Govt. of Pakistan in 2001.
RESEARCH AREAS / INTERESTS

1. Numerical Analysis
2. Computational Mathematics
3. Fluid Dynamics
4. Eigen Value Problems
5. Computational Biology

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