Lecturer

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Md Kawser Ahmed

Md Kawser Ahmed

Lecturer
Department of Electrical and Electronic Engineering

Md. Kawser Ahmed Seyam

Email: kas@ius.edu.bd

 

Educational Qualification:
SN  Degree  Institute Passing Year
1 MSc in Physics Shahjalal University of Science & Technology, Sylhet  2024
2 BSc in Physics Shahjalal University of Science & Technology, Sylhet                                     2022
3 HSC Government Science College, Dhaka                                               2016
4 SSC Motijheel Model High School & College, Dhaka                                        2014

 

 

Experience:
SN  Designation Institute Duration
1 Lecturer University of scholars Oct 2024-present
2 Research Student Dept. of Physics, SUST                                 2022-present

 

 

Academic Projects: 
  1. Derivation of neutron diffusion equation in different types of reactor core.

    Abstract: This paper explores the application of innovation diffusion ideas to the field of educational and industrial technology. The study of general diffusion theory is followed by a brief introduction to general diffusion theory, which includes a mention of the most frequently discussed diffusion theories. The neutron transport equation of diffusion is constructed for different types of reactor cores. Using the one-group approximation model and letting some assumptions, the solution of the 2nd order differential neutron transport equation is derived. The neutron flux(ϕ) solution is graphically plotted for different reactors. Keywords: One-group approximation, diffusion theory, Fick’s law, critical reactor, neutron transport equation of diffusion, graphical representation of neutron flux in different types of reactors. Link
  2. Analysis of Lorenz System's Dynamics Characteristics.

    Abstract: Many engineering systems have been found to be chaotic. A fundamental feature of a chaotic system is its extreme sensitivity to initial conditions; that is, small differences in the initial state can result in large differences in the system state. Chaos is analogous to the stochastic process in a deterministic system. In deterministic system, the stochastic process gives overwhelming stability which depends upon initial conditions. If the parameters of a nonlinear dynamics system match certain combinations, it may exhibit chaotic behavior. The Lorenz system was studied numerically using the Runge-Kutta 4th order method in this paper. The Lorenz system’s dynamic behavior can be controlled by controlling its initial parameters. Link
  3. Dynamic Analysis of Double Pendulum.

    Abstract: This paper studies the dynamic behavior in a double pendulum system using the Lagrange method and numerical calculations. First, the physical system was introduced, then the Lagrange and the Hamiltonian equations of motion were derived. The results of the numerical simulation show that the system will have the potential for chaos when the initial condition is changed. The results provide references for detailed research on dynamic characteristics and the optimal design of the double pendulum model. Link

Science Articles:
  • Designing a Roller Coaster

Award & Recognitions:
  1. 4th Place Auto Grand Prix v3.0 (Robotics competition by RoboSUST)
  2. Runner up Astronomical Quiz by CAM-SUST

  3. Accomplished Competitor University Physics Competition 2019

 

Organisational Role:
  1. Vice President SUST Physics Society
  2. President Relativistic Night 2022, SUST

Extra-curricular Activity:
  1. Exam Auditor Bangladesh Physics Olympiad (Sylhet region) Bangladesh Olympiad on Astronomy and Astrophysics

  2. Volunteer Bangladesh Physics Olympiad (national round) hosted by SUST

  3. Assistant Organising Secretory Adieu Amplified Rag & Cultural Programme of SUST 28th Batch.

  4. Departmental Executive SUST Career Club
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