Dr. Nova Eka Budiyanta, S.Pd., M.Pd., M.T.
8/30/2023 12:00:00 AM

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NIDN
Academic Position
E-mail
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: 0305119103
: Assistant Professor
: nova.eka@atmajaya.ac.id
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Biography
Dr. Nova Eka Budiyanta received his Ph.D. degree from Institut Teknologi Sepuluh Nopember (ITS) in 2025. He is currently an Assistant Professor in the Department of Electrical Engineering at Atma Jaya Catholic University of Indonesia, Jakarta, where he is actively engaged in teaching and research in Artificial Intelligence (AI), Computer Vision, Robotics, and the Internet of Things (IoT). His research interests include 3D Point Cloud Processing, Mobile Robot Navigation, Wireless Data Acquisition, and AI applications in Computer Vision. He has also served as a reviewer for several high-impact IEEE and Elsevier journals.
Bachelor Degree – Mechatronics Engineering Education, Yogyakarta State University (2013)
Master Degree – Electrical Engineering Education, Yogyakarta State University (2017)
Non-degree Program – Research Program, Department of Electrical Engineering, National Chung Cheng University, Taiwan (2018)
Master Degree – Electrical Engineering, Atma Jaya Catholic University of Indonesia (2020)
Non-degree Program – Research Program, Graduate School of Science and Technology, Kumamoto University, Japan (2023)
Doctoral Degree – Electrical Engineering, Sepuluh Nopember Institute of Technology (2025)
Artificial Intelligence (AI)
Computer Vision, Robotics
Internet of Things (IoT)
https://www.tempo.co/sains/inilah-4-indikator-utama-penilaian-universitas-terbaik-versi-webometrics-221286
Microprocessor
Machine Learning
Internet of Things (IoT)
Deep Learning
Robotics
Smart Information System
Integrated Information System
Advanced Artificial Intelligence
Pupillary response test as a potential early diagnosis biomarker of Alzheimer’s disease
, 2025
Interactive Educational Game Development Using Modified Single Stage Detector
, 2024
Human Sliced Feature-based Head Segmentation on 3D LiDAR Point Cloud Data
, 2024
Utilizing a Single-Stage 2D Detector in 3D LiDAR Point Cloud With Vertical Cylindrical Coordinate Projection for Human Identification
, 2024
Detection and Tracking in Human Monitoring Framework Using Modified Direct 3D LiDAR Point Cloud Classifier Based on Region Cluster Proposal
, 2024
Modified Deep Pattern Classifier on Indonesian Traditional Dance Spatio-Temporal Data
, 2023
Fall detection system for elderly activity daily living using modified 2d lidar as a low-cost alternative to 3d lidar based on the slice feature approach
, 2023
Normal vector direction-based 3d lidar point cloud planar surface removal for object cluster minimization in human activity monitoring system
, 2023
Processing time increasement of non-rice object detection based on YOLOv3-tiny using Movidius NCS 2 on Raspberry Pi
, 2022
Human point cloud data segmentation based on normal vector estimation using PCA-SVD approaches for elderly activity daily living detection
, 2021
The development of healthcare mobile robot for helping medical personnel in dealing with COVID-19 patients
, 2021