Chandra Kusuma Dewa

Assistant Professor

Research interest:
Machine Learning, Reinforcement Learning, Robotics, Multimedia

Email: chandra.kusuma[at]uii.ac.id

Education:

Ph.D. | Doctor of Philosophy in Engineering – Toyohashi University of Technology, Toyohashi, Japan

M.Cs. | Master of Computer Science – Universitas Gadjah Mada, Yogyakarta, Indonesia

S.Kom. | Bachelor of Computer Science – Universitas Gadjah Mada, Yogyakarta, Indonesia

Description

Chandra Kusuma Dewa received the bachelor’s (within three and a half years) and the master’s (cum laude) degrees in computer science from Universitas Gadjah Mada, Yogyakarta, Indonesia, in 2008 and 2011, respectively. He obtained the Ph.D. degree (with a perfect GPA) in engineering from Toyohashi University of Technology, Toyohashi, Japan in 2021 with the Monbukagakusho Scholarship from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan. In September 2019, he was a Machine Learning Engineer Intern at the Life Creation Center, Honda R&D Co. Ltd., Saitama, Japan. Moreover, he has been a Lecturer and a Researcher with the Department of Informatics, Universitas Islam Indonesia, Yogyakarta, Indonesia since 2013. His research interests include machine learning, reinforcement learning, robotics, and multimedia.

Apart from researching, Dr. Dewa also has a keen interest in teaching. During his doctoral study, he participated in the Global Rotation Program (GRP) which aims to develop practical, creative, and leadership educational skills for engineering educators globally. In December 2019, he completed a teaching training program on Sustainable Development Goals (SDGs) held by GRP with an audience of high school students at Toyohashi Higashi High School, Toyohashi, Japan.

Selected publications

Dewa, C. K. & Miura, J. (2021). Integrating Multiple Policies for Person-Following Robot Training Using Deep Reinforcement Learning. IEEE Access, 9, 75526-75541. https://doi.org/10.1109/ACCESS.2021.3082136
Dewa, C. K. & Miura, J. (2021). Training a Robot to Attend a Person at Specific Locations Using Soft Actor-Critic Under Simulated Environment. Proceedings of the 2021 IEEE/SICE International Symposium on System Integration (SII 2021) (pp. 837-838). IEEE. https://doi.org/10.1109/IEEECONF49454.2021.9382716
Dewa, C. K. & Miura, J. (2020). A Framework for DRL Navigation With State Transition Checking and Velocity Increment Scheduling. IEEE Access, 8, 191826-191838. https://doi.org/10.1109/ACCESS.2020.3033016
Dewa, C. K., Fadhilah, A. L., & Afiahayati (2018). Convolutional Neural Networks for Handwritten Javanese Character Recognition. Indonesian Journal of Computing and Cybernetics Systems (IJCCS), 12(1), 83-94. https://doi.org/10.22146/ijccs.31144
Kurniawan, J., Syahra, S. G. S., Dewa, C. K., & Afiahayati (2018). Traffic Congestion Detection: Learning from CCTV Monitoring Images Using Convolutional Neural Network. Procedia Computer Science, 144, 291-297. https://doi.org/10.1016/j.procs.2018.10.530
Dewa, C. K. & Afiahayati (2018). Suitable CNN Weight Initialization and Activation Function for Javanese Vowels Classification. Procedia Computer Science, 144, 124-132. https://doi.org/10.1016/j.procs.2018.10.512
Rajagede, R. A., Dewa, C. K., & Afiahayati (2017). Recognizing Arabic Letter Utterance Using Convolutional Neural Network. Proceedings of the 8th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2017) (pp. 181-186). IEEE. https://doi.org/10.1109/SNPD.2017.8022720
Dewa, C. K. (2016). Javanese Vowels Sound Classification With Convolutional Neural Network. Proceedings of the 2016 International Seminar on Intelligent Technology and Its Applications (ISITIA 2016) (pp. 123-128). IEEE. https://doi.org/10.1109/ISITIA.2016.7828645

Chandra Kusuma Dewa

Assistant Professor

JURUSAN INFORMATIKA

TAUTAN CEPAT