Faculty Profile


Muhammad Tajmal

 

  Muhammad Tajmal

  Muhammad Tajmal

Year of passing

Education

Institute

Marks/GPA

2022

MSCS

Bahria University Islamabad

3.63

2020

MCS

COMSATS University, Vehari Campus

3.71 (Gold Medalist)

Year

Institute

Designation

2024 - Present

NUML-Lahore

Lecturer (Computer Science)

2023

University of Education Lahore

Lecturer

2022

Bahria University Islamabad

Lab Engineer

  1. Passionate about Artificial Intelligence, Machine Learning, and Deep Learning, with a core interest in their applications and advancements.
  2. Proficient in utilizing cutting-edge algorithms and techniques to solve complex problems, including biomedical imaging using deep learning.
  3. Dedicated to staying updated with the latest developments in AI research and technology, particularly in the context of healthcare and medical imaging.
  4. Experienced in implementing AI solutions across various domains, with a focus on improving diagnostics and healthcare outcomes.
  5. Committed to leveraging AI to drive innovation and create tangible impact in the biomedical field and beyond.

 

Education

Year of passing

Education

Institute

Marks/GPA

2022

MSCS

Bahria University Islamabad

3.63

2020

MCS

COMSATS University, Vehari Campus

3.71 (Gold Medalist)

Experience

Year

Institute

Designation

2024 - Present

NUML-Lahore

Lecturer (Computer Science)

2023

University of Education Lahore

Lecturer

2022

Bahria University Islamabad

Lab Engineer

Publications

--

Interests

  1. Passionate about Artificial Intelligence, Machine Learning, and Deep Learning, with a core interest in their applications and advancements.
  2. Proficient in utilizing cutting-edge algorithms and techniques to solve complex problems, including biomedical imaging using deep learning.
  3. Dedicated to staying updated with the latest developments in AI research and technology, particularly in the context of healthcare and medical imaging.
  4. Experienced in implementing AI solutions across various domains, with a focus on improving diagnostics and healthcare outcomes.
  5. Committed to leveraging AI to drive innovation and create tangible impact in the biomedical field and beyond.