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Mr.Syed Krar Haider Bukhari
APID: 7113
capLecturer at Superior University Lahore Lahore, Punjab
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My Biography

MR. SYED KRAR HAIDER
BUKHARI received the Master More of Science degree in computer science (MSCS) from FAST NUCES
Islamabad.
He is Lecturer and associated with Faculty
of Computer Science and Information
Technology, Superior University, Lahore.
He is currently working as an AI / ML Trainer at DirAction.
He has 5+ years of
experience in Artificial Intelligence, machine learning, image processing, computer Vision, deep
Learning and NLP.
He also worked remotely as an AI / ML engineer. He served at the POF Welfare Computer Center, a Pakistan Army organization. His research publication includes in the areas of
artificial intelligence, machine learning, image processing, computer Vision, NLP, and deep
learning.

Area Of Expertise

Deep learning, Computer Vision, Machine learning, NLP, Artificial Intelligence

Area of Intrest

Artificial Intelligence, Machine learning,Deep learning, Computer Vision, NLP, Software Engineering

Honors and Awards



Guest and Speaker by Azra Naheed Medical College Lahore on 17/05/2024
Role of of Artificial Intelligence in Medical Science

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Dr Mohan S

My Peers always eager to discuss and promote their research with me.

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Sukanta Sarkar

I am a researcher with an interest in contributing to a deeper understanding of social issues. Human Read More behaviour is often characterized by deviations from perfect rationality and influenced by numerous factors that cloud the researcher’s view of underlying causalities. The majority of my current research applies field and lab-in-the-field experiments to test insights from classical and behavioural economics in the contexts of economic development and the design of innovation contests,
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Numbers, Algebraic Number Theory, Group Theory, Matrix Theory, Graph ΤheoryPure MathematicsSet Read More Theory
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ANBUMANI ARUMUGAM

Happy Morning !!!
Thank you very much for being a Reviewer in your STM journal “Journal of Image Read More Processing & Pattern Recognition Progress”.
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Title: Lungs Disease detction using deep learning
Subject:
Journal:
https://doi.org/10.1109/ICET56601.2022.10004651
Published By: OtherIEEE
12/11/2022
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