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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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parwiz stanekzai


law and Islamic jurisprudence

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parwiz stanekzai


I am Parwiz Stanakzai, faculty member at a university and currently pursuing my doctoral studies at Read More an international university outside of Afghanistan. I have over 11 years of teaching experience and specialize in the field of insurance law. My areas of interest include civil procedural law, criminal procedural law, and family law
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Sanjeev Patwa


It is a good experience to work here. I could expand by Academic Network. Thanks and Best Wishes

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Shahzad Ashraf


I am a computer engineer and working in a public sector university as Professor/ Research director Read More in Pakistan. I obtained B.E. degree in Computer Systems Engineering, and M.E. in Communication System and Networks from Mehran University of Engineering & Technology, Pakistan in 2004, and 2014 respectively. In 2020, I secured Ph.D. in Information and Communication Engineering from Hohai University China. My expertise includes computer architecture, wireless communication, robotics and control, signal processing, grid and distributed computing, computer hardware and networks, Deep learning, artificial intelligence, machine learning, neuro-fuzzy systems, Solid state devices, Data mining, and web applications. Currently, I am an Associate Editor of more than 5 International SCI research journals including IEEE, MDPI, Hindawi, Springer, and Elsevier. In addition, acting as peer reviewer of more than 50 international journals and conference proceedings. I’d like to offer my services as a volunteer Editor and Peer reviewer.
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Tunde Yusuf


Nik

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Dakshayani Lomada


Hello to everyone, I am Dr. L. Dakshayani. My area of research is immunology.

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Nitin Saraswat


Hello everyone,
currently i am working on AI based ML models for Health care industry

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Parminder Kaur Bajaj


My current research on the impact of different systemic risk (SIR) measures on stock market Read More spillover within the APEC region aims to shed light on the intricate relationship between financial stability and market interconnections. By delving into the diverse SIR metrics and their effects on cross-border market transmission, this study strives to provide valuable insights that can aid policymakers, investors, and financial institutions in devising more informed risk management strategies. Ultimately, this research aspires to enhance our understanding of regional market dynamics and contribute to the development of more resilient and adaptive financial systems in the APEC economies.
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Parminder Kaur Bajaj


Hello Everyone, I am Dr. Parminder Kaur Bajaj. My are of research in Stock Market Volatility

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ABDUR M


Hello there, I am Dr. M.ABDUR RAHMAN, Faculty in the dept of Mechanical, My research areas include Read More Powder metallurgy, Aluminum alloys for Aerospace and Automotive applications, renewable energy
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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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