Welcome to the Centre for Mathematical Modelling (CM2)
The Centre for Mathematical Modelling (CMM), housed within the Department of Mathematics, Faculty of Science, University of Colombo, is a dedicated research and training hub established to foster the use of mathematical modelling in solving complex problems across scientific, industrial, environmental, and societal domains. The Centre leverages the academic strength and multidisciplinary environment of the university to support innovative research, knowledge dissemination, and collaboration in the field of mathematical modelling. It was established in 2012 under the pioneering guidance of Prof Sanjeewa Perera and Dr Jagath Wijerathna with the expectation of providing a vibrant platform for both established and budding young researchers to undertake multidisciplinary and interdisciplinary research activities through Mathematical Modelling.
Contact Details
Centre for Mathematical Modelling Department of Mathematics
University of Colombo
PO Box 1490
Colombo 00300
Sri Lanka
Phone:+94 11-2058231
Fax: +94 11-2058139
Director
Prof. Sanjeewa Perera
ssnp@maths.cmb.ac.lk
cmm@maths.cmb.ac.lk
Deputy Director
Prof. Anuradha Mahasinghe
anuradhamahasinghe@maths.cmb.ac.lk
People
Prof. Sanjeewa Perera
Director and Leader | Mathematical Modelling
Prof. Anuradha Mahasinghe
Deputy Director and Leader | Quantum Computing
Dr. Prabath Liyanage
Deputy Director | Industrial Engagement and Leader | AI & Simulation Models
Dr. Hasitha Erandi
Deputy Director | International Collaboration
Vision
To be a leading centre in Sri Lanka and the South Asian region for research, education, and innovation in mathematical modelling, advancing scientific discovery and contributing to societal development through data-informed decision-making.
Mission
To promote the use and understanding of mathematical modelling through high-quality research, interdisciplinary collaboration, education, and community outreach, enabling informed decision-making and problem-solving across a wide range of domains.
Aim
The primary aim of the Centre is to explore, develop, and apply mathematical models that contribute to scientific progress, technological innovation, and evidence-based policymaking while nurturing a strong community of researchers and learners.
Objectives
- Research Excellence:
Conduct high-quality research in mathematical modelling,
systems analysis, and simulations. - Capacity Development:
Offer training programs, workshops, and research opportunities for
undergraduate and postgraduate students. - Interdisciplinary Collaboration:
Foster collaboration between mathematicians and experts in fields
such as biology, physics, engineering, economics, and social
sciences. - Application & Innovation:
Develop and apply mathematical models in areas of national and
global relevance. - Dissemination of Knowledge:
Share findings through publications, technical reports, public lectures, and digital platforms. - Resource Development:
Create a repository of modelling tools, software, and datasets for academic and public use.
Activity Plan
Research Projects:
Initiate and support collaborative research projects with national and
international partners, focusing on pressing societal challenges.Workshops & Seminars:
Conduct regular workshops, seminars, and conferences to foster
learning, discussion, and innovation in mathematical modelling.Training & Education:
Provide training sessions, short courses, and certificate programs for
students, teachers, researchers, and industry professionals.Consultancy & Outreach:
Offer consultancy services and expertise in mathematical modelling
for government agencies, NGOs, and industries.Student Engagement:
Encourage student involvement in research and problem-solving
through modelling competitions, internships, and final-year projects.Publication & Communication:
Publish research outputs in journals and maintain a digital platform for
sharing working papers, case studies, and modelling resources.Infrastructure & Tools:
Develop computational infrastructure and modelling software for
teaching and research purposes.