Feri Setiawan, Ph.D

Feri Setiawan, Ph.D

Subject Content Coordinator - Lecturer

  • feri.setiawan@binus.edu
  • -
  • Jakarta, Indonesia

Profile & Qualification

Feri Setiawan, Ph.D

Subject Content Coordinator – Lecturer

Computer Science Program, BINUS University International

 

DEGREE & EDUCATION

  • PhD in Data Analytics, Industrial and Management Engineering, Hankuk University of Foreign Studies (한국외국어대학교), South Korea (2018 – 2021).
  • Master of Engineering, Industrial and Information Systems Engineering, Hankuk University of Foreign Studies (한국외국어대학교), South Korea (2016 – 2018).
  • Bachelor of Computer Science, Informatics Engineering, Ma Chung University, Indonesia (2011 – 2015).

 

EMPLOYMENT

  • Postdoctoral Researcher March 2021 – March 2024, Department of Statistics and Data Science Yonsei University, Seoul, South Korea

 

FIELD OF STUDY

  • Data Science
  • Data Analytics
  • Software Engineering and Databases
  • Artificial Intelligence

 

CURRENT TEACHING AREAS

  • Artificial Intelligence
  • Distributed Systems
  • Data Structures

 

Scopus: https://www.scopus.com/authid/detail.uri?authorId=57193706376

Google Scholar: https://scholar.google.com/citations?user=EkUIiUMAAAAJ&hl=en

Research & Publication

List of Journal Publications

  • Setiawan, F., and Jaewoo, P., Uncertainty-Aware Bayesian Attentional Graph Convolutional Neural Network for Skeleton-Based Human Action Recognition. (Submitted) Submitted to Soft Computing, 2023. (SCIE, IF=4.1)
  • Setiawan, F., Yahya, B.N., and Lee, S.L., Normalized Attention Inter-Channel Pooling NAIP for Deep Convolutional Neural Network Regularization. Neural Processing Letters, 2023. (SCIE, IF=3.1)
  • Setiawan, F., Yahya, B.N., Chun, S.J., and Lee, S.L., Sequential Inter-hop Graph Convolution Neural Network (SIhGCN) for Skeleton-based Human Action Recognition. Expert System with Applications, 2022. (SCIE, IF=8.5)

  • Setiawan, F., Prabono, A.G., Khowaja, S.A., Kim, W.S., Park, K.S., Yahya, B.N., Hong, J.P., and Lee, S.L., Fine-Grained Emotion Recognition: Fusion of Physiological Signals and Facial Expressions on Spontaneous Emotion Corpus. International Journal of Ad Hoc and Ubiquitous Computing, 2020. (SCIE, IF=0.7)

  • Khowaja, S.A., Prabono, A.G., Setiawan, F., Yahya, B.N. and Lee, S.L., Towards Soft Real-time Stress Detection System using Wearable Devices for Human Workspaces. Soft Computing, Springer, 2020. (SCIE, IF=4.1)

  • Setiawan, F., Yahya, B.N. and Lee, S.L.,Deep Activity Recognition on Imaging Sensor Data. IET Electronics Letter, 2019. (SCIE, IF=1.1)

  • Khowaja, S.A., Prabono, A.G., Setiawan, F., Yahya, B.N., and Lee, S.L., Contextual Activity based Healthcare Internet of Things, Services, and People(HIoTSP): An Architectural Framework for Healthcare Monitoring using Wearable Sensors. Computer Networks, 2018. (SCIE, IF=5.6)

  • Setiawan, F., and Yahya, B. N., Improved Behavior Model based on Sequential Rule Mining. Applied Soft Computing, 2018. (SCIE, IF=8.7)

  • Setiawan, F., Yahya, B. N., and Lee, S.L, A Verification Approach for Human Behavior Modeling. International Journal of Industrial Engineering: Theory, Applications and Practice, 2018. (SCIE, IF=1.1)

  • Khowaja, S. A., Setiawan, F., Prabono, A. G., Yahya, B. N., and Lee, S. L., An Effective Threshold Based Measurement Technique for Fall Detection Using Smart Devices. International Journal of Industrial Engineering: Theory, Applications and Practice, 2016. (SCIE, IF=1.1)

 

Conference Papers

  • Setiawan, F., Khowaja, S.A., Prabono, A.G., Yahya, B.N. and Lee, S.L., A Framework for Real Time Emotion Recognition Based on Human ANS Using Pervasive Device. IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 2018.
  • Setiawan, F., Lee, S. L., & Yahya, B. N., Human Behavior Modeling – An Approach to identify Complex Activity Relation using Time Constraint. 대한산업공학회, 2018.
  • Khowaja, S. A., Setiawan, F., Prabono, A. G., Yahya, B. N., & Lee, S. L., ETL Workflow Design for Analyzing Relationship of Empathy with Social Awareness using Socio-Emotion Data. Korea Software Kongress (KSC), 2017
  • Khowaja, S. A., Prabono, A. G., Setiawan, F., Yahya, B. N., & Lee, S. L., Towards Anomaly Detection System using Wearable Sensors. Korea DataBase Conference (KDBC), 2017.
  • Setiawan, F., Yahya, B. N., A Method to Enhance Event Logs using Sequential Rule Mining International Symposium on Semiconductor Manufacturing Intelligence (ISMI 2016), National Tsing Hua University (NTHU), Taiwan.
  • Setiawan, F., Prabono, A. G., Yahya, B. N., & Lee, S. L., Online Human Action Recognition Framework Based on Wearable Sensors. 대한산업공학회, 2016.

 

RESEARCH ACTIVITIES

Distant Domain Transfer Learning for Human Daily Behavior Analysis Framework

Hankuk University of Foreign Studies (March 2018 – February 2021)

  • Developing a framework for human behavior analysis across multiple domains utilizing diverse sensor data.
  • Responsibilities included developing a deep learning module for human action recognition, covering data collection, analysis, and verification.

Development of Web Object-Based Self-learning Smart Aging Service Technology

Hankuk University of Foreign Studies (February 2016 – September 2018)

  • Developing an IoT-based solution to enhance daily living assistance for the elderly.
  • Responsibilities included analyzing human physiological signals, developing an emotion recognition module, and creating a real-time system.

Professional Engagement

Peer Reviewer for International Journals

  • IEEE Transactions on Affective Computing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Access
  • IEEE Transactions on Circuits and Systems
  • Springer Soft Computing
  • Elsevier Applied Soft Computing
  • Nature Scientific Reports

Reward & Grants