Vision and Intelligent Computing Lab
Department of Electrical Engineering (Program B)
Yuan Ze University
About the Lab
We are the Vision and Intelligent Computing (VIC) Lab, a research group within the Department of Electrical Engineering at Yuan Ze University. Our team is dedicated to advancing cutting-edge research in Computer Vision, Multimedia Processing, Artificial Intelligence (AI), and Intelligent Computing. We specialize in integrating image, video, and audio processing with innovative deep learning techniques to build intelligent and adaptive systems.
Our mission is to design efficient, robust, and scalable AI solutions that address real-world problems across diverse fields, including healthcare, geoscience, human-computer interaction, and autonomous systems. Through strong collaborations with academic partners, industry stakeholders, and international research communities, we aim to push the boundaries of intelligent computing and drive positive global impact.
🌿 We are also deeply committed to applying AI for green energy innovation, environmental sustainability, and climate resilience.
Lab News & Highlights
- 🗓️ May 2025: Big cheers! 🎊 Two of our papers made it into ICCE-TW 2025 — let’s gooo!
- 🌱 April 2025: TEEP & IIPP internship programs are now open! 🚀 Curious minds, check the site and apply now!
- 🌏 March 2025: We kicked off a cool AI collab with with De La Salle University on biosignal sensing project for smart agriculture.
Current Projects
- 🧪 Deep learning for intelligent analysis and interpretation of carbon storage and earthquake faults – Under grant NSTC 114-2222-E-155-004 (PI)
- 🧪 Agricultural thermoelectric plant leaf patches for plant pathogen resistance monitoring – Under grant NSTC 114-2923-E-008 -003 -MY3 (Co-PI)
Skin Disease Generated Image, 2023
Alzheimer's Disease Analysis, 2024
Steel Defect Detection, 2022
Sport Video Analysis, 2024
Salt and Seismic Layer Segmentation, 2024
Publications
Journals
- Pseudo Skin Image Generator (PSIG-Net): Ambiguity-free sample generation and outlier control for skin lesion classification - Isack Farady, Elvin Nur Furqon, Chia-Chen Kuo, Yih-Kuen Jan, Chih-Yang Lin. Biomedical Signal Processing and Control, 2024. [Read More]
- Entropy-boosted Adversarial Patch for Concealing Pedestrians in YOLO Models - Chih-Yang Lin, Tun-Yu Huang, Hui-Fuang Ng, Wei-Yang Lin, Isack Farady. IEEE Access, 2024. [Read More]
- PreAugNet: Improve data augmentation for industrial defect classification with small-scale training data - Isack Farady, Chih-Yang Lin, Ming-Ching Chang. Journal of Intelligent Manufacturing, Springer, 2023. [Read More]
- Hierarchical Image Transformation and Multi-Level Features for Anomaly Defect Detection - Isack Farady, Chia-Chen Kuo, Hui-Fuang Ng, Chih-Yang Lin. Sensors, 2023. [Read More]
- Diagnosis of Alzheimer’s Disease using Convolutional Neural Network with Select Slices by Landmark on Hippocampus in MRI Images - Yori Pusparani, Chih-Yang Lin, Yih-Kuen Jan, Fu-Yu Lin, Ben-Yi Liau, Peter Ardhianto, Isack Farady, et al. IEEE Access, 2023. [Read More]
Conferences
- Effective Adversarial Sample Detection for Securing Automatic Speech Recognition - Chih-Yang Lin, Yan-Zhang Wang, Shou-Kuan Lin, Isack Farady, Yih-Kuen Jan, Wei-Yang Lin. IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2024, Ontario, Canada. [Read More]
- Integrating Stable Diffusion for Improved Alzheimer's Disease Classification: Insights from MRI Images and YOLOv8 - Junaidul Islam, Elvin Nur Furqon, Isack Farady, et al. International Conference on Consumer Electronics-Taiwan (ICCE-Taiwan), 2024. [Read More]
- Utilizing Brain Region Volume Estimations to Enhance Interpretability of Decision Trees for Alzheimer’s Disease Classification - Le Sang, Isack Farady, et al. International Conference on Consumer Electronics-Taiwan (ICCE-Taiwan), 2024. [Read More]
- Seismic Layer Segmentation Models with Channel Attention Block in Carbon Storage Study - Isack Farady, Chia-Chen Kuo, Sang Le, et al. Workshop on Advances in Environmental Sensing Systems for Smart Cities, 2024. [Read More]
- ECG Anomaly Detection with LSTM-Autoencoder for Heartbeat Analysis - Isack Farady, Vraj Patel, Chia-Chen Kuo, et al. International Conference on Consumer Electronics-Taiwan (ICCE-Taiwan), 2023. [Read More]
- Early Alzheimer’s Disease Detection Through YOLO-Based Detection of the Hippocampus Region in MRI Images - Junaidul Islam, Elvin Nur Furqon, Isack Farady, et al. Sixth International Symposium on Computer, Consumer and Control (IS3C), 2023. [Read More] (Best Paper Award)
- Implementing Multi-Level Features in a Student-Teacher Network for Anomaly Detection - Isack Farady, Bhagyashri Khimsuriya, Ruchita Sagathiya, et al. International Conference on Consumer Electronics-Taiwan (ICCE-Taiwan), 2023. [Read More]
- Automated Slice Selection and Labeling of Hippocampus Regions for Alzheimer’s Disease - Elvin Nur Furqon, Isack Farady, et al. International Conference on Consumer Electronics-Taiwan (ICCE-Taiwan), 2023. [Read More] (Best Paper Award)
- Evaluation of Additional Augmented Images for Steel Surface Defect Detection - Isack Farady, Megha Dey Sarkar, Wen-Thong Chang, et al. IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2022. [Read More]
- Exploring the Use of Different Feature Levels of CNN for Anomaly Detection - Isack Farady, Lakshay Bansal, Somchoke Ruengittinun, et al. 26th International Computer Science and Engineering Conference (ICSEC), 2022. [Read More] (Best Paper Award)
- Evaluation of Data Augmentation on Surface Defect Detection - Isack Farady, Chih-Yang Lin, Fityanul Akhyar, et al. IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2021. [Read More]
- Mask Classification and Head Temperature Detection Combined with Deep Learning Networks - Isack Farady, Chih-Yang Lin, Amornthep Rojanasarit, et al. 2nd International Conference on Broadband Communications, Wireless Sensors, and Powering (BCWSP), 2020. [Read More] (Best Paper Award)
Our Team
Isack Farady Ph.D.
Lab Director
Master and Ph.D. Students
Yayang Hafifah
Research Area: Deep Learning in Seismology
Andri Marcherisal
Research Area: AI for Multimedia Processing
Sakhile Ginindza
Research Area: xAI in Alzheimer’s Imaging Analysis
Undergraduate Students
Chun-Yi Lin
Yu-Ti Tu
Yi-Ting Chiang
S. Udhayaraj
Contact Us
We welcome research collaborations with both academia and industry, as well as various internship opportunities, including TEEP, IIPP, and individual internships. If you are interested in joining us, please check our website news for the latest updates and feel free to contact us.
📧 Email: vicianteams@gmail.com
đź“Ť Location: Building 7, Room 70935, Department of Electrical Engineering, Yuan Ze University, Taiwan
đź”— GitHub: vicyzu
VIC-Lab Activities & Collaborations
Snapshots of our lab's research engagements, academic collaborations, field activities, and international conference participation.
AI in Seismology – Sharing Session at NCHC, Taiwan
Lab Visit by De La Salle University Delegation
Kick-off Meeting for Joint Project with Philippines
Group Photo with Students and Interns
Attending ACM Conference in Tokyo
