基本信息
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Career Trajectory
Bio
Tjeng Wawan Cenggoro (Member, IEEE) received the bachelor’s degree in information technology from STMIK Widya Cipta Dharma, and the master’s degree in information technology from Bina Nusantara University. He is currently an AI Researcher whose focus is in the development of deep learning algorithms for application in computer vision, natural language processing, and bioinformatics. He is also a Certified Instructor with the NVIDIA Deep Learning Institute. He led several research projects that utilize deep learning for computer vision, which is applied to indoor video analytics and plant phenotyping. He has published over 20 peer-reviewed publications and reviewed for prestigious journals, such as Scientific Reports and IEEE Access. He also holds two copyrights for AI-based video analytics software.
Research Interests
Papers共 92 篇Author StatisticsCo-AuthorSimilar Experts
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Dinne Ratj,Tjeng Wawan Cenggoro, Namira Mufida Adien, Ni Putu Putri Ardhia Paramita, Nabila Putri Sina,Gregorius Natanael Elwirehardja,Bens Pardamean
COMMUNICATIONS IN MATHEMATICAL BIOLOGY AND NEUROSCIENCE (2023)
Procedia Computer Science (2023): 1054-1061
Procedia Computer Science (2023): 1086-1092
Fergianto E. Gunawan,Arief S. Budiman,Bens Pardamean,Endang Juana, Sugiarto Romeli,Tjeng W. Cenggoro,Kartika Purwandari,Alam A. Hidayat,Anak. A.N.P. Redi,Muhammad Asrol
Procedia Computer Science (2023): 1046-1053
Procedia Computer Science (2023): 833-839
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