Introductory Slides

1. Mechanical Engineer
Yasir Mehmood
 MS Mechanical Engineering (2016-2018)
Pakistan Institute of Engineering and Applied
Sciences (PIEAS): ranked 390th indicators
by QS World University Rankings (2023);
GPA 3.46/4.00
 BS Mechanical Engineering (2012-2016)
University of Engineering and Technology, Taxila
GPA 3.80/4.00
Course
Music Fixed Gear
Travelling
Education
Work Experience
Auto CAD
ANSYS MATLAB
REVIT
Python
Programming
Skills
Languages
English
Urdu
Punjabi
Location : Islamabad, Pakistan
Contact Number:+923415338292
Email Address: yasirmehmood071@gmail.com
Awards
 Analysis and design of HVAC of residential and
commercial buildings.
 Project estimation of HVAC and Fire Fighting systems
 Supervising a team of draftsmen
 Designing, estimation and installation of Medical Gas
equipment in hospitals
 Reviewing and supervising the project from planning
till commissioning
Senior Engineer (2018-present)
Exam
• Valid till March 2024
• Overall Band score : 7.0
• Listening : 8
• Reading : 7.5
• Writing : 6.5
• Speaking : 6.0
• Awarded fellowship for Masters degree from PIEAS. (2016-2018)
• Completed Bachelors Degree with Honors and Ist position in
class.
• Top the whole school in Matriculation Examination.
LinkedIn : https://www.linkedin.com/in/yasir-mehmood-159071114/
GitHub : https://github.com/yasir101-pixel
Hobbies
Artificial Intelligence from (Presidential Initiative for Artificial
Intelligence and Computing) (2020-2021)
• Introduction to Machine Learning, Data Science and AI.
• Fundamentals of Version Control with Git.
• Programming in Python and concepts of Object Oriented
Programming.
• Python for Data Analysis - Advanced Numpy, Pandas, and other
visualization libraries.
• Theoretical Machine Learning and Deep Learning (supervised
and unsupervised techniques).
• Implementation in Tensor flow - Sequential

2. Problem Statement
Structures based on thin plates have wide
applications in various mechanical equipment's
such as heat exchangers, pressure vessels,
engines, pumps etc. It is important to study their
vibration patterns.
Objective
To perform the vibration analysis of different shape
plate structure under various boundary condition.
Computation Study & Results
To perform the vibration analysis of
different shape plate structure under
various boundary condition.
Application Area
Experimental and Computational Study of Simply Supported Thin Rectangular Plate
under Forced Vibrations
Ali Riaz, M Zahid Iqbal, Zeeshan Ramzan, Muhammad Aqeel Haider, Adnan Ibrahim, Yasir Mehmood
Mathematical Model

3. Problem Statement
Structures based on thin plates have wide
applications in various mechanical equipment's
such as heat exchangers, pressure vessels,
engines, pumps etc. It is important to study their
vibration patterns.
Objective
To perform the vibration analysis of different shape
plate structure under various boundary condition.
Computation Study & Results
To perform the vibration analysis of
different shape plate structure under
various boundary condition.
Application Area
Experimental and Computational Study of Simply Supported Thin Elastic Circular
Plate under Forced Vibrations
Yasir Mehmood, Muhammad Zahid Iqbal, Ali Riaz
Mathematical Model

4. PIEAS Symposium

5. International Burhan Conference on Applied Sciences & Technology, 2021

6. Academic Transcript of Masters Studies

7. Problem Statement
It is important to investigate the dynamic
response of structure below the flutter critical
velocity and to analyze the transient
amplification of energy with uniform upstream
flow i.e. gust.
Objective
To analyze and aeroelastic response of a Bridge
deck section through CFD using UDF below flutter
critical velocity.
Solution controls
To perform the vibration analysis of different
shape plate structure under various boundary
condition.
Application Area
Aero elastic Behavior of a streamlined Bridge Deck Section
Yasir Mehmood, Muhammad Arsalan Anwar, Dr. Muhammad Shehryar
Mathematical Model
Meshing

8. Academic Transcript of Bachelors Studies

9. Problem Statement
Flutter is a well-known phenomenon in aero
elasticity that can lead to catastrophic failure of
structures if not detected and prevented. The
prediction of flutter in composite structures is
particularly challenging due to their complex
behavior under different loading conditions
Methods to predict Flutter
Several methods have been developed for
predicting flutter in composite structures:
1. FEM
2. Extended Kantorovich method
3. Genetic algorithm (GA)
4. Artificial neural network (ANN)
5. Physics informed neural network (PINN)
FEM combine with ANN
Proposed Research Topic Prediction of Flutter analysis of Composite plate using PINN
Research Methodology
Machine Learning
The main objective of this study is to develop a
PINN-based method for predicting flutter in
composite plates and validate its performance
using experimental data.
Objective
The steps involved in the research methodology are as follows:
1. Literature Review
2. Experimental Study
3. PINN Model Development
4. Comparative Analysis
Expected Outcome
1. Development of a PINN-based method for predicting
flutter in composite plates.
2. Validation of the PINN model using experimental data.
Comparison of the performance of the PINN model with
other state-of-the-art methods for flutter prediction in
composite plates.
3. Identification of the factors that affect the flutter
behavior of composite plates.
4. Recommendations for improving the design and
analysis of composite structures to prevent flutter.

10. PRO- E Training