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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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Rajasekhar Reddy Poonuru


Hello. Happy to join in a platform which connects with several intellectuals from various parts of Read More the world
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Meenakshisundaram Palaniappan


Hello Everyone. Happy to join all of you through this portal. Currently, I am working on developing Read More an in-house protocol for Banana micro-propagation for sustained operations of the newly established commercial tissue culture laboratory at TNAU. I am also interested in developing molecular diagnostic tools using CRISPR technology for economically important pathogens affecting crop cultivation.
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Dr Rajesh Thangarajan


My present study unravels the mechanisms underlying prenatal inflammation-induced alteration on Read More hippocampal neuronal architecture in animal models. As well as medical education focusing on pedagogies in anatomy teaching.
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Franca Nwankwo


Hello, world! I am deeply passionate about enhancing the state of education, particularly in the Read More fields of Industrial and Technology Education. My recent research, “Development of Wood Waste Management Framework for Small and Medium Scale Enterprises in Minna, Niger State, Nigeria,” contributes to addressing sustainability and operational efficiency challenges faced by businesses. It offers actionable insights and a structured framework for optimizing wood waste management, promoting environmental sustainability, and boosting profitability. My work not only addresses academic needs but also bridges the gap between academic theories and practical industrial applications, ensuring that businesses have the tools and knowledge to thrive in a sustainable manner. My primary areas of interest are Higher Education Administration, Industrial and Technology Education, and Sports
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DEBYENDU CHAKROBORTY


Hello, My present research work involved an instrumentation system with industrial IIoT with an Read More integrated Cloud System. Mainly focused on Environmental Pollution, Vibration of Machinery, Sensor modeling, etc. Presently active in research that eliminates the low-pressure area of sea/ocean storms or hurricanes and neutralizes their severity on sea/ocean bed. It is an AI & IoT-operated anti-circulatory (with respect to storm direction of rotation) high-speed floating motorized fan to restrict heavy flooding in the coastal parts of India.
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Amedeo Lonardo


Hello to all our Colleagues. A few days ago I got retired from Hospital job and now I am willing to Read More get more involved in the editorial word and publishing process.
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D.P.S. Rathore


After superannuation on 31 march, 2015, Actively involved in delivering invited talks in Inspire Read More programme of DST, Govt of India, Invited talks in National and International Conferences including IAEA conference, publication of articles and reviewing publications.
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Through the innovative ideas

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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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Computer/IT

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