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Mohammad Arsalan

Mohammad ArsalanDr. Mohammad Arsalan received his Ph.D. in Electronics and Electrical Engineering from Dongguk University, Seoul, South Korea, in August 2020. His Ph.D. major includes Computer Vision and Artificial Intelligence. He has more than 07 years of teachingand research experience in utilizing custom Deep Learning Networks for various Computer Vision tasks. He has vast research experience in Biometric Recognition, Human Activity Recognition, Autonomous Driving, and Computer-Aided Disease Diagnosis. Based on his research achievements, in September 2020 he Joined the Division of Electronics and Electrical Engineering at Dongguk University as a full-time Assistant Professor. He has also worked as a Research Professor at The Institute for Future of Education, in the Center for Educational Innovation, Tecnologico de Monterrey. Along with multidisciplinary research experience, he has enormous experience in teaching various Computer Vision and Artificial Intelligence-related graduate courses. He has numerous publications published as Journal Articles and International Conference Proceedings in high-quality Q1/Q2 reputable journals around Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) for multidisciplinary applications. He has good experience of editorial/gest editorial roles in reputable journals. Currently, he is working as a Research Assistant Professor at the KINDI Center of Computing Research, College of Engineering and Qatar University, Doha, Qatar. His research interests include Artificial Intelligence/Machine Learning/ Deep Learning/ Computer Vision applications for multidisciplinary applications, medical image analysis, and computer-aided disease diagnosis. Read More Read Less

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Detecting Hate Speech in Human and Ai-Generated Content: Techniques, Bias Mitigation, and Ethical Considerations
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Detecting Hate Speech in Human and Ai-Generated Content: Techniques, Bias Mitigation, and Ethical Considerations
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Abbas Kiarostami
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AED394
Binding:
Hardback
Release:
/03/2008
Language:
English
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