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Salman Safdar
Salman Safdar
Designation: Lecturer
University/Institution: Department of Mathematics, University of Karachi, Pakistan
Google Scholar Link: https://share.google/uLYo8Tq3UPMCY9OL8
Abstract: The full-day session on Data Fitting and Parameter Estimation offers a comprehensive introduction to key techniques used in calibrating infectious disease models. Participants will begin with an overview of common data types and the challenges associated with real-world epidemiological data, including noise, missing values, and underreporting. Core estimation methods such as Least Squares Estimation (LSE) and Maximum Likelihood Estimation (MLE) will be introduced, followed by a hands-on MATLAB session focused on fitting a simple SIR model to outbreak data. Practical aspects including model validation, residual analysis, Akaike Information Criterion (AIC), and cross-validation will be covered. The session concludes with an extended applied exercise and open discussion, equipping participants with both theoretical understanding and practical skills for data-driven model calibration.
Mohsin Ali
Mohsin Ali
Designation: Assistant Professor
University/Institution:
National University of Science and Technology (NUST), Islamabad, Pakistan
Website or professional profile link: https://www.linkedin.com/in/mohsin-ali-sheikh/
Mudassar Imran
Mudassar Imran
Dr. Mudassar Imran earned his Ph.D. in Mathematics from Arizona State University. Prior to his appointment at Ajman University, he served as an Associate Professor at Gulf University for Science and Technology in Kuwait. His academic journey also includes postdoctoral fellowships at North Carolina State University and McMaster University, in addition to research experience at the University of Manitoba in Canada. Dr. Imran’s research interests encompass Mathematical Biology, Mathematical Modeling, Epidemiology, and Optimal Control. His work integrates mathematics and biology, focusing on the complex interactions between biological systems and mathematical models.
Education
Ph.D., Arizona State University, USA, 2006.
M.S., Ohio University, USA, 2001.
Experience
Associate Professor, Mathematics, Gulf University of Science and Technology, November 2017 – February 2021.
Assistant Professor, Mathematics, Gulf University of Science and Technology, January 2014 – November 2017.
Assistant Professor, Department of Mathematics, Lahore University of Management Sciences (LUMS), August 2010 – January 2014.
Department of Mathematics, University of Manitoba, Canada, September 2009 – June 2010.
Postdoctoral Fellow, McMaster University, Canada, August 2007 – August 2009.
Postdoctoral Fellow, North Carolina State University, USA, August 2006 – August 2007.
Adnan KHan
Adnan KHan
Adnan Khan was awarded his Ph.D. from Rensselaer Polytechnic Institute in NY in 2007. His thesis was titled 'Parameterization for Some Multiscale Problems in Biology and Turbulence'. The work involved studying approaches to coarse graining of multiscale systems with applications to turbulent diffusion and protein dynamics. Prior to his doctoral work he obtained an MS in Applied Mathematics at the University of Delaware in 2002 and a BE in Electrical Engineering from NED University of Engineering & Technology, Karachi in 1998. His current research interests involve modeling and analysis of biological systems, multiscale modeling and asymptotic analysis. Prior to joining LUMS he has taught at Rensselaer Polytechnic Institute and University of Delaware. Besides the usual academic interests he is also interested in reading on economics, philosophy, history and world literature.
Sultan Sial
Sultan Sial
Dr Sultan Sial received the MSc. Mathematics degree from Carleton University and the PhD. degree in Applied Mathematics from University of Western Ontario, Canada in 1992 and 1997. Prior to joining LUMS, he has been associated with University of Toronto, University of Western Ontario, Trent University, and Los Alamos National Lab (LANL). Dr Sial also has corporate sector experience; he has been the Vice President (Research) of Heuchera Technologies, and Vogelfrei Analytics. He has several publications, a book and book chapter in leading international journals.
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