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Designed an image preprocessing algorithm and conducted training and optimization for a cancer cell detection model. Assisted in planning and implementing cancer cell detection applications, as well as developing an auto-training application for the detection model. Computer Vision: Human Action Recognition Conducted training for a human skeleton detection model. Developed static human action recognition model based on images and dynamic human action recognition model based on videos. Autonomous Vehicle: Conducted Multiple AI Models in Perception System Trained and optimized 2D and 3D object detection models, as well as traffic light recognition models. Develope.

Detection: Detect Player Contacts from Sensor and Video Data, 2023/03/03 AIGC (生成式AI): - Bronze medal (solo): (Kaggle) Stable Diffusion - Image to Prompts: Deduce the prompts that generated our "highly detailed, sharp focus, illustration, 3d renders of majestic, epic" images, 2023/05/16 Object detection (目標檢測): - 4th place (solo): (Aidea AI CUP) 肺腺癌病理切片影像之腫瘤氣道擴散偵測競賽 I：運用物體偵測作法於找尋STAS, 2022/06/02

business development, and customer relationship maintenance 24 Merchants, 6 IPs. NFT generation and 3D modeling Web 3.0, Metaverse, NFT-related consultant. OctFeb 2021 Project Engineer Acer Studying cutting-edge AI/DL skills to implement on a medical AI project. 92% accuracy on glaucoma CDR detection. Familiar with object detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis

Research Experience Research Assistant, Seppresent Communication and Multimedia Lab (CMLab), NTU Proposed a Convolutional Neural Network (CNN) accurately performing fine-grained classification for surveillance car. The model recovered lost details from low resolution image with hints in crawled web images. Leveraged frame similarity to speed up CNN-based object detection and semantic segmentation models, e.g. FPN, PSPNet, YOLO, Faster-RCNN, and SegNet. Proposed a multimodal CNN achieving high fine-grained classification accuracy. The model was trained with both web images and its tags, and could predict solely with image in future testing phase

a Technical Manager and Contact window with US, Europe (German, Italian) tier-1 clients and to support customers' requirements project management, mentoring and assigning tasks to engineers, leading firmware engineers to deliver projects on time Staff Engineer ADAS/Vision/Radar (1) Surround reconstruction algorithm designD/3D/Object Detection, Object Mask neural network post processing algorithm design. (3) Integrate Radar/vision fusion, multi-sensor fusion (4) ADAS demo cars built for customers, including debugging, testing and data analysis (5) Feature matching algorithm design (6) Radar and camera calibration algorithm design (7) Algorithm optimization (OpenGL/

發新的深度學習演算法，能夠在非常少的資源下運行模型來做自動控制；在學術研究上，我能夠發明新的方法來改進Transformer-based object detection最頂尖的模型，讓模型在COCO資料集上提升0.3mAP的效能。以下為我的優勢能力: 資料科學的研究開發能力: 研發演算法

Machine Learning Framework Transformation Data Augmentation Transfer Learning Model Pruning Model Quantization Performance Evaluation Parameter Fine-tuning Model : SVM, LeNet, AlexNet, VGG, GoogLeNet, SSD, YOLO, MobileNet, ShuffleNet, FaceNet, Xception, MatrixNet, CenterNet, CSPNet, M2Det, EfficientNet/Det Projects HPC Keyword Spotting Automatic Speech Recognition Distributed Inference System Social Distancing Estimation (Lidar) Object Tracking Object Detection Automatic License Plate Recognition Optical Character Recognition (OCR) Multi-Camera Object Tracking (Image Stitching) Voice Keywords Detection Face Recognition Blur Detection People Counting Over the Wall Detection Automated Optical Inspection(AOI) Interactive Segmentation(for ROI) Web crawler Work Experience Senior Engineer(VicoreLogic) DecNow 1. Enhance