A. Conference and Journal Reviewer
1. International Electronic Symposium (IES); 2015 - now
2. Computer Engineering, Network and Intelligent Multimedia (CENIM); 2018 - now
3. The International Conference on Smart Technology and Applications (ICoSTA); 2019
4. International Conference of Applied Science and Technology (iCAST); 2018
5. EMITTER International Journal of Engineering Technology (Sinta S2); 2015 - now
6. Jurnal Elementer; 2018
7. Springer - Machine Vision and Applications (MVA; Scopus Q2); 2020 - now
8. IEEE - IEEE Access (Scopus Q1); 2022 - now
9. Elsevier - Engineering Applications of Artificial Intelligence (EAAI; Scopus Q1); 2022 - now
10. Taylor & Francis - Environmental Technology Reviews (ETR; Scopus Q1); 2020 - now
B. Journal Editor
1. Journal of Applied Active Intelligent Systems and Robotics (ISAS); 2020
2. EMITTER International Journal of Engineering Technology (Sinta S2); 2016 - now
C. Research on Active Intelligent Systems
Our research interests are manifested into four fields, they are:
1. Signal, Vision and Graphics
Specifically, in this Signal, Vision and Graphics field, we focus our researches on the development of theory and applications in processing 1-dimensional, 2-dimensional, 3-dimensional or multi-dimensional information from various sensors and analyze the obtained data to support:
- Detection and tracking: object detection, object tracking
- Recognition: object recognition, speech recognition, gesture recognition, activity recognition and behavior recognition.
2. Pattern Recognition and Artificial Intelligence
In this Pattern Recognition and Artificial Intelligence field, we focus our researches on the development of theory and applications on object detection, object tracking, object recognition, speech recognition, gesture recognition, activity recognition and behavior recognition by involving machine learning for reasoning, learning and optimization. Machine Learning and Artificial Intelligence algorithms such as Fuzzy Logic Control, Nearest Neighbor (NN), Clustering, Artificial Neural Network (ANN), Support Vector Machines (SVMs), Decision Forest (DF), Deep Learning, Genetic Algorithm, and Reinforcement Learning are also utilized in this field.
Therefore, all scientific publications are also focus on the field of object detection, object tracking, object recognition, speech recognition, gesture recognition, activity recognition and behavior recognition. Implementation of algorithms into other fields are also welcome, such as aquaculture engineering and agriculture engineering.
3. Robot Applications
In this Robot Applications, we focus our works and scientific publications on development of robot's ability to do a specific task by considering not only kinematic and inverse-kinematic of the robot, but also its dynamic and social-aspects because the robot should consider human surrounding. We produce robots by emphasizing its algorithm to be able to autonomously operate in a complex environments.
4. Localization, Mapping, Planning and Control
In this Localization, Mapping, Planning and Control field, we focus our researches and scientific publications on the development of theory and application to detect a robot positions in a local or global map, building a map of area and visualizing into 2-dimensional or 3-dimensional display, planning a trajectory or path of the robot which is implemented into a novel control algorithm for robot motion by considering many aspects from dynamic and static obstacles.
