OUR TEAM

Introduction

I am Dr. Ali Javaid, Assistant Professor in the Department of Mechanical Engineering at NUTECH. I hold a PhD from NUST (2024), an MS from NUST (2019), and a BS from HITEC University Taxila (2015). Prior to joining at NUTECH I had been teaching at NUST, I bring over 5 years of experience in academia. My PhD research focused on Artificial Intelligence-powered solar and wind energy systems, equipping me with extensive experience in data acquisition, data cleaning, data preparation, model training, and model evaluation. Additionally, I have expertise in training the machine leaning models for estimation of solar and wind energy outputs, ensuring efficient and accurate renewable energy solutions. Also, I possess a strong command of softwares such as SolidWorks, Ansys, MATLAB / Python, and AutoCAD. Moreover, I have contributed to two successful research projects under the supervision of Dr. Muhammad Sajid at the Artificial Intelligence for Mechanical Systems Laboratory (AIMS Lab), School of Interdisciplinary Engineering and Sciences (SINES), National University of Sciences and Technology (NUST).

Experience

• Assistant Professor (Mechanical Engineering) at National University of Technology (NUTECH), Jan 2025 – To Date
• Temporary Visiting Faculty (TVF) at National University of Sciences and Technology (NUST), Jan 2023 – Jan 2025
• Research Assistant at School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST) Under Autonomous Indoor Environment Monitoring System Project, Dec 2022 – March 2023
• Teaching Assistant (TA) / Temporary Visiting Faculty (TVF) at School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST) under   N-Centive Program, Feb 2021 – Jan 2023
• Research Assistant at School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST) Under NRPU – 10462, A cold side thermal management study of solar photovoltaic cells using active and passive methods for power output enhancement Project, Feb 2020 – Jan 2021
• Site Engineer (HVAC), DWP Technologies, Oct 2018 – July 2019

Qualification

Accademia

• PhD – Mechanical Engineering 2024
  Specialization: Artificial Intelligence and Renewable Energy Systems
  School of Mechanical and Manufacturing Engineering,
  National University of Sciences and Technology, Pakistan
  Website https://nust.edu.pk/
• MS – Mechanical Engineering 2019
  Specialization: CFD Analysis of Fuel Injector Nozzle
  College of Electrical and Mechanical Engineering,
  National University of Sciences and Technology, Pakistan
  Website https://nust.edu.pk/
• BS – Mechanical Engineering 2015
  FYP: Water Purification Through Tubular Solar Still
  HTIEC University, Taxila, Pakistan
  Website https://www.hitecuni.edu.pk/

Achievements and Certifications

1. Generative AI Application Developer Certificate by Pak Angels, Silicon Valley, California, United States of America (Credentials) – February 2025
2. Obtained the title of Professional Engineer in 22 Engineering Professional Exam by PEC – November 2023
3. N-Centive Program Fellowship by NUST – February 2021
4. Microsoft Word Specialist by Microsoft (Credentials) – December 2018
5. Microsoft Excel Specialist by Microsoft (Credentials) – December 2018
6. Microsoft PowerPoint Specialist by Microsoft (Credentials) – December 2018

Taught Courses

Research

I have completed my PhD in June 2024 from National University of Sciences and Technology (NUST), Islamabad, Pakistan, where my research focused on investigation of energy/Hydrogen potential estimation using machine learning algorithms applied to renewable sources such as solar irradiance and wind speed. I investigated various models including Linear Regression, Support Vector Regression, Long Short-Term Memory (LSTM), and Transformer models. Specifically, I explored the behavior of hyperparameters on the R2 score of Transformer models for time series forecasting. My work involved the analysis of extensive datasets, including data cleaning, feature selection, model development, and visualization. I have hands-on experience with various machine learning models, including Transformers and Long Short-Term Memory (LSTM) networks, which I utilized for time-series forecasting. Furthermore, my research included an in-depth study of hyperparameter tuning and its impact on model performance. I am proficient in Matlab and Python. Additionally, I have shared my Transformer model via Kaggle for implementation of time series data sets with the in-depth analysis of hyperparameter tuning. 

Profiles

• Google Scholar: https://scholar.google.com/citations?user=k6y34BoAAAAJ&hl=en&oi=ao
• LinkedIn: https://www.linkedin.com/in/alijavaid43/
• ORCID: https://orcid.org/0000-0002-2774-8268
• Research Gate: https://www.researchgate.net/profile/Ali-Javaid-2

List of Publications

Projects

I contributed to two successful research projects under the supervision of Dr. Muhammad Sajid at the Artificial Intelligence for Mechanical Systems Laboratory (AIMS Lab), School of Interdisciplinary Engineering and Sciences (SINES), National University of Sciences and Technology (NUST):

1. A cold side thermal management study of solar photovoltaic cells using active and passive methods for power output enhancement – Investigated active and passive cooling methods to enhance power output. This project was funded by the Higher Education Commission (HEC) under grant No. NRPU 10462.
2. Autonomous Indoor Environment Monitoring System – Developed a smart system for real-time indoor environmental monitoring. This project was funded by the National Center of Artificial Intelligence (NCAI).