Ahmed J Obaid

Ahmed J ObaidAhmed J. Obaid is a Asst. Professor at the Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa, Iraq. Dr. Ahmed holds a Bachelor in Computer Science, degree in - Information Systems from College of Computer, University of Anbar, Iraq (2001-2005), and a Master Degree (M. TECH) of Computer Science Engineering (CSE) from School of Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India (2010-2013), and a Doctor of Philosophy (PhD) in Web Mining from College of Information Technology, University of University of Babylon, Iraq (2013-2017). He is a Certified Web Mining Consultant with over 14 years of experience in working as Faculty Member in University of Kufa, Iraq. He has taught courses in Web Designing, Web Scripting, JavaScript, VB.Net, MATLAB Toolbox's, and other courses on PHP, CMC, and DHTML from more than 10 international organizations and institutes from USA, and India. Dr. Ahmed is a member of Statistical and Information Consultation Center (SICC), University of Kufa, Iraq. His main line of research is Web mining Techniques and Application, Image processing in the Web Platforms, Image processing, Genetic Algorithm, information theory, and Medical Health Applications. Ahmed J. is Associated Editor in Brazilian Journal of Operations & Production Management (BJO&PM) and Editorial Board Members in: International Journal of Advance Study and Research Work (IJASRW), Journal of Research in Engineering and Applied Sciences(JREAS), GRD Journal for Engineering (GRDJE), International Research Journal of Multidisciplinary Science & Technology (IRJMST), The International Journal of Technology Information and Computer (IJTIC), Career Point International Journal Research (CPIJR). Ahmed J. was Editor in Many International Conferences such as: ISCPS_2020, MAICT_2020, IHICPS_2020, IICESAT_2021, IICPS_2020, ICPAS_2021, etc. (Scopus Indexed Conferences). He has edited Some books, such as Advance Material Science and Engineering (ISBN: 9783035736779, Scientific.net publisher), Computational Intelligence Techniques for Combating COVID-19 (ISBN: 978-3-030-68936-0 EAI/Springer), A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems (ISBN: 978-3-030-76653-5 Springer). Ahmed J. has supervised several final projects of Bachelor and Master in his main line of work, and authored and co-authored several scientific publications in journals, Books and conferences with more than 65+ Journal Research Articles, 5+ book Chapters, 15+ Conference papers, 10+ Conference proceedings, 8+ Books Editing, 2+ Patent. Ahmed J. also Reviewer in many Scopus, SCI and ESCI Journals e.g., CMC, IETE, IJAACS, IJIPM, IJKBD, IJBSR, IET, IJUFKS and many others. Dr. Ahmed Attend and participate as: Keynote Speakers (40+ Conferences), Webinars (10+), Session Chairs (10+), in many international events in the following countries: India, Turkey, Nepal, Philippines, Vietnam, Thailand, Indonesia and other countries. Read More Read Less

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Artificial Intelligence for Smart Healthcare37 %
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Artificial Intelligence for Smart Healthcare37 %
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Computational Intelligence Techniques for Combating Covid-1937 %
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Computational Intelligence Techniques for Combating Covid-1937 %
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Advanced Studies on Environmental SustainabilityNR
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Intelligent Cyber-Physical Systems Security for Industry 4.011 % NR
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Emerging Trends for Securing Cyber Physical Systems and the Internet of Things7 % NR
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Next Generation Innovation in Iot and Cloud Computing with Applications7 % NR
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Handbook of Research on Advanced Practical Approaches to Deepfake Detection and Applications38 % NR
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Advanced Applications of Generative AI and Natural Language Processing Models25 % NR
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Recent Developments in Machine and Human Intelligence43 % NR
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Advances in Artificial and Human Intelligence in the Modern Era3 % NR
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Advanced Applications of Generative AI and Natural Language Processing Models43 % NR
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Data-Driven Intelligent Business Sustainability42 % NR
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Data-Driven Intelligent Business Sustainability38 % NR
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Recent Developments in Machine and Human Intelligence3 % NR
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Advanced Practical Approaches to Web Mining Techniques and Application43 % NR
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Advanced Practical Approaches to Web Mining Techniques and Application38 % NR
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Data-Directed Mathematical Modeling13 % NR
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