Vision and Intelligent Computing Lab

Department of Electrical Engineering (Program B)
Yuan Ze University

Research

The Vision and Intelligent Computing (VIC) Lab is a research laboratory within the Department of Electrical Engineering at Yuan Ze University, dedicated to advancing cutting-edge technologies in Computer Vision, Multimedia, Artificial Intelligence (AI), and Intelligent Computing. Our research focuses on the integration of image, video, and audio processing with innovative deep learning techniques and intelligent systems.

Our mission is to develop intelligent, efficient, and scalable AI-driven solutions that address real-world challenges in fields such as healthcare, geoscience, human-computer interaction, and autonomous systems. We actively collaborate with academic institutions, industry partners, and research communities to push the boundaries of intelligent computing and multimedia technologies.

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)

Seismology Analysis and Interpretation

AI for Agriculture

Alzheimer's Disease Analysis

xAI in Medical Imaging

Video Surveilance

Salt and Seismic Layer Segmentation

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

Dr. Isack Farady

Isack Farady Ph.D.

Lab Director

Master and Ph.D. Students

Graduate Student 1

Yayang Hafifah

Research Area: Deep Learning in Seismology

Andri

Andri Marcherisal

Research Area: AI for Multimedia Processing

Graduate Student 3

Sakhile Ginindza

Research Area: xAI in Alzheimer’s Imaging Analysis

Undergraduate Students

Undergraduate Student 1

Chun-Yi Lin

Undergraduate Student 2

Yu-Ti Tu

Undergraduate Student 3

Yi-Ting Chiang

Undergraduate Student 4

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