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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

Career Timeline

Academic Identity

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JAGADESH R

Hi everyone,
I am Jagadesh Chander R, Assistant Professor, Dept. of Psychology, CHRIST Deemed to be Read More University, Bengaluru.
My area of research includes Mental health and well-being and exploring the innovative pedagogies in teaching.
As a mental health practitioner, I strive towards enriching mental health literacy and help-seeking behavior among members of the community.
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Dr. Ravichand Mandalapu

Hello! I am Dr. Ravichand Mandalapu,
Professor and Head, Dept. of English, V. R. Read More Siddhartha
Engineering College, Vijayawada.
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Reema Singh

“In my recent work, I’ve delved into the intricate realm of hematology, leveraging my expertise in Read More medical writing to contribute significantly to our understanding of blood-related disorders. By meticulously synthesizing complex research findings and translating them into accessible and impactful content, I aim to bridge the gap between cutting-edge discoveries and practical applications in clinical settings. This work not only advances our knowledge within the hematology field but also has the potential to influence medical practices, ultimately improving patient outcomes. I am excited about the positive impact my contributions can make in advancing the field and am eager to share these insights with my peers.”
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Shailendra Kumar Gaur

Good insight about the Indium thin film properties useful for semiconductor fabrication.

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Omonigho Otanocha

Hello, community of practice

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Levin Prabhu J

Dear Researchers … My work on social research has created impact on my students and young Read More researchers associated with in the recent years . My domain expertise leads to : Architecture and Urbanism
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Dr.R.Malathi Ravindran

Dear Friends,
I am an Associate Professor of Computer Applications, willing to join in the field of Read More Data Base Analysis.
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Obi shambaba

The isolation of NTM species from humans, Mycobacterium virginiense is the second time to be Read More isolated from Human sputum in the world and water,
Mycobacterium fortuitum highlighted that active and ex miners are at potential risks of acquiring pathogenic NTM from mining environment.
The study has reviewed that they are NTM circulating in the mining environment and humans (active and ex miners) in Zambia which are potential pathogenic in immune comprised individuals.
The identification of these Mycobacteria in clinical samples and environmental sources was important for both clinical and patient management, It will also help formulate policy change in understanding transmission factors that increase NTM transmission in mining
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Suljovic Suad

Through work, you achieve advancement in work and profession

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Souvik Das

My recent work focuses on developing an innovative approach to address operator fatigue in Read More industrial settings using intelligent Personal Protective Equipment (PPE). By integrating breathable sensors and image data analysis, this technology aims to assess and manage operator fatigue in real time. The impact of this work lies in its potential to enhance workplace safety by proactively identifying and mitigating fatigue-related risks. This solution not only aims to improve the overall well-being of industrial workers but also seeks to optimize productivity by ensuring operators are functioning at their best.
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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
Publications

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Editorial Roles
Computer/IT

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