Short Biography:
Dr. Muntasir Alam is serving as an Associate Professor in the Department of Applied Mathematics at the University of Dhaka. He obtained his Doctor of Philosophy (Ph.D.) degree from Kyushu University under the supervision of Professor Jun Tanimoto. His research interests are primarily centered on the application of Evolutionary Game ...
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| Degree Name | Group/Major Subject | Board/Institute | Country | Passing Year |
|---|---|---|---|---|
| Ph.D. | Energy and Environmental Engineering | Kyushu University | Japan | 2021 |
| Masters | Applied Mathematics | University of Dhaka | Bangladesh | 2014 |
| Bachelor | Mathematics | University of Dhaka | Bangladesh | 2013 |
| Title | Organization | Location | From Date | To Date |
|---|---|---|---|---|
| Associate Professor | University of Dhaka | Department of Applied Mathematics | 08, Jan 2026 | Currently Working |
| Assistant Professor | University of Dhaka | Department of Applied Mathematics | 30, Jan 2022 | 07-01-2026 |
| Lecturer | University of Dhaka | Department of Applied Mathematics | 02, Feb 2017 | 29-01-2022 |
Research Interest
| Subject | Description | Research Interest (Goal, Target Indicator) |
|---|---|---|
| Application of finite element method (FEM) in engineering sciences | ||
| Applied numerical analysis and simulation approaches in solving BVPs | ||
| Traffic flow modeling and its mathematical analysis | ||
| Mathematical modeling in epidemiology using intervention game | ||
| Evolutionary Game Theory |
Project/Research Supervision
| Level of Study | Title | Supervisor | Co-Supervisor(s) | Name of Student(s) | Area of Research | Current Completion |
|---|---|---|---|---|---|---|
| No project/research supervision is found | ||||||
Project/Research Work
| Subject | Project Name | Source of Fund | From Date | To Date | Collaboration |
|---|---|---|---|---|---|
| No project/research work is found | |||||
Invited Talk
| SL | Invited Talk |
|---|---|
| No invited talk is found | |
| SL | Collaboration & Membership Name | Type | Membership Year | Expire Year |
|---|---|---|---|---|
| 1 | Dhaka University Mathematics Alumni Association | 2015 | Life Time | |
| 2 | Bangladesh Mathematical Society | 2015 | Life Time |
| Journal Article | |
|---|---|
| 1 |
Mushrafi Munim Sushmit, Reyajul Hasan Leon and Muntasir Alam
: Dynamic vaccination strategies in dual-strain epidemics: A multi-agent-based game-theoretic approach on scale-free hybrid networks,
Chaos, Solitons and Fractals , ISSN: 0960-0779 , (impact factor:7.8) , vol.185 , no.August 2024 Elsevier , pp.115067 , 2024
.
|
| 2 |
Mansura Akter, Muntasir Alam and Md. Kamrujjaman
: An in-silico game theoretic approach for health intervention efficacy assessment,
Healthcare Analytics , ISSN: 2772-4425 , vol.5 Elsevier , pp.100318 , 2024
.
|
| 3 |
Umma Kulsum, Muntasir Alam and Md. Kamrujjaman
: Modeling and investigating the dilemma of early and delayed vaccination driven by the dynamics of imitation and aspiration,
Chaos, Solitons & Fractals , (impact factor:7.8) , vol.178 , no.January 2024 Elsevier , pp.114364 , 2023
.
|
| 4 |
Muntasir Alam and Jun Tanimoto
: A Game-Theoretic Modeling Approach to Comprehend the Advantage of Dynamic Health Interventions in Limiting the Transmission of Multi-Strain Epidemics,
Journal of Applied Mathematics and Physics , (impact factor:0.70) , vol.10 Scientific Research , 2022
.
|
| 5 |
Muntasir Alam, Yuki Ida and Jun Tanimoto
: Abrupt epidemic outbreak could be well tackled by multiple pre-emptive provisions-A game approach considering structured and unstructured populations,
Chaos, Solitons & Fractals , (impact factor:7.8) , vol.143 , no.February 2021 Elsevier , pp.110584 , 2021
.
|
| 6 |
Muntasir Alam, K. M. Ariful Kabir and Jun Tanimoto
: Based on mathematical epidemiology and evolutionary game theory, which is more effective: quarantine or isolation policy?,
Journal of Statistical Mechanics: Theory and Experiment , (impact factor:2.232) , vol.033502 IOP , 2020
.
|
| 7 |
Muntasir Alam, Masaki Tanaka and Jun Tanimoto
: A game theoretic approach to discuss the positive secondary effect of vaccination scheme in an infinite and well-mixed population,
Chaos, Solitons & Fractals , (impact factor:5.944) , vol.125 Elsevier , pp.201-213 , 2019
.
|
| 8 |
Muntasir Alam, Kazuki Kuga and Jun Tanimoto
: Three-strategy and four-strategy model of vaccination game introducing an intermediate protecting measure,
Applied Mathematics and Computation , (impact factor:4.091) , vol.346 Elsevier , pp.408-422 , 2019
.
|
| 9 |
Muntasir Alam and Md. Shafiqul Islam
: Numerical Solutions of Time Dependent Partial Differential Equations Using Weighted Residual Method With Piecewise Polynomials,
Dhaka University Journal of Science , vol.67 , pp.5-12 , 2019
.
|
| 10 |
Muntasir Alam, Keisuke Nagashima and Jun Tanimoto
: Various error settings bring different noise-driven effects on network reciprocity in spatial prisoner’s dilemma,
Chaos, Solitons & Fractals , (impact factor:5.944) , vol.114 Elsevier , pp.338-346 , 2018
.
|
| Conference Proceedings | |
| 1 |
Muntasir Alam and Jun Tanimoto "Dynamical Analysis of a Disease Transmission Model Coupled with Two Pre-emptive Provisions and Quarantine-Isolation Policy-An Approach Based on Evolutionary Game Theory."
7th International Conference on Infectious Disease Dynamics by Elsevier
Charleston, South Carolina, USA: 2019
.
|
| 2 |
Muntasir Alam and Jun Tanimoto "Introduction of intermediate defense measure in an evolutionary vaccination game."
Traffic Flow Conference at Nagoya University
Nagoya, Japan: 2018
.
|
| 3 |
Muntasir Alam and Jun Tanimoto "Secondary effect of vaccination on evolutionary vaccination game in and infinite and well-mixed population."
20th Cross Straits Symposium on Energy and Environmental Science and Technology at Pusan National University
Busan, South Korea: 2018
.
|
| Award Type | Title | Year | Country | Description |
|---|---|---|---|---|
| Local | Dean's Award | 2021 | Bangladesh |
Dr. Muntasir Alam
Associate Professor
Department of Applied Mathematics
Faculty of Science
Email: muntasir.appmath@du.ac.bd
Mobile (Dept): +88 01911133398
Mobile (Personal): 01911133398