Usama Abdur Rahman
Sathyabama Institute of Science and Technology, Sathyabama Institue of Science and Technology, Anna University, Vel Tech High Tech Dr Rangarajan Dr Sakunthala Engineering College
About
Usama Abdurrahman received the B.E. degree in Computer Science and Engineering in 2006, the M.E. degree in Information Technology in 2011, and the Ph.D. degree from Anna University, Chennai, India in 2023. From 2011 to 2023, he was an Assistant Professor in the Department of Computer Science and Engineering at Jerusalem College of Engineering, Chennai, India. Since 2024, he has been an Associate Professor in the Department of Computer Science and Engineering at Sathyabama Institute of Science and Technology, Chennai, India. Dr. Abdurrahman has authored two books, holds two patents, and has published numerous journal papers in international journals. His research interests include advanced engineering applications, reinforcement learning, visual sensor networks, and deep learning. He is a member of several professional societies and has received multiple awards, including recognition from prestigious institutions for his contributions to engineering and education.
Employment
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Sathyabama Institute of Science and Technology Associate Professor2024 - Present
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Sathyabama Institue of Science and Technology Assistant Professor2023 - 2024
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Jerusalem College of Engineering Assistant Professor2011 - 2023
Education
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Anna University Ph.D2015 - 2023
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Vel Tech High Tech Dr Rangarajan Dr Sakunthala Engineering College M.Tech2009 - 2011
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Aalim Muhammed Salegh College of Engineering B.E2002 - 2006
Projects & Funding
Projects & funding information is unavailable.
Publications (5)
- Genetics Based Compact Fuzzy System for Visual Sensor Network Save
- Security enhanced optimal trajectory selection for mobile sink using reinforcement learning Save
- Multi Keyword Ranked Based Search for Secured Cloud Data Using Vector Space Model Save
- A Novel Approach to Analyze Thin and Thick Densified Wood Products by Using SVM Classifier Model Save
- Similarity Measures For Gene Ontology With ‘Computing with Words' Save