About Philip Wootaek Shin:
Have experience working in Industry for 3 years. Specification: Machine Learning, Computer Vision
Experience
Dolby Laboratories Sunnyvale, CA
Imaging Research Intern (Advanced Technology Group) May 2023 – August 2023
- Topic: Floor Plan Construction for Multiple Perspective Video using Object Based Latent Vector Aggregation
- Specifics: User Generate Content (UGC) floor plan retrieval.
- Manager: Guan-Ming Su
LG Display Paju, Korea
Research Engineer (OLED TV Operating Circuit Design Team/Vision Algorithm Task) Jul. 2021 – Present
- Upgrade Deep-Learning-based Automatic Defect Object Detection Model Development using OLED Panel Images.
- Main Issues: Tiny Defect Detection, Small Dataset Training due to Periodic Panel Modification, and Data Imbalance.
- Improve the current detection rate by 10% and optimize data augmentation for detection system.
- Design Deep-Learning based Automatic Classification Model to Defect TFT Panel Images.
- Main Issues: Edge Inference using CPU, Huge image size with small size defects, and Data Imbalance.
- Enhance a commercialized in-usage tool by 5%; crop and resize the image for improvement in classification.
- Devise a Pilot Defect Recognition Tool based on Super Resolution.
- Main Issues: Low-resolution image for human eye and gray scale level indistinguishable for human eye.
- Develop a deep learning pilot system to automatically convert low-resolution indistinguishable image to high resolution.
- Built Anomaly Detection Automatic Email System that sends detection of stains.
- Main Issues: Indistinguishable Stain Detection, Border Line Detection, and Database management.
- Constructed a Real-time Anomaly Detection System from the pilot auto-email system; maintained the current email system.
- Develop a Multi-anomaly Detection Tool for user-friendly interface to train and test different models.
- Main Issues: Deployment of different anomaly detection strategy in one interface, optimization of each method
- Designed a GUI interface for in-house usage and differentiated individual anomaly detection methods.
DataStreams Corporation Seongnam, Korea
Assistant Research Engineer (Data Governance Team/AI Part Leader) July 2019 – June 2021
- Built a Term/Dictionary Recommendation System using Machine Learning and Natural Language Processing.
- Main Issues: Small Dataset due to NDA with Client; needed both English and Korean recommendation systems.
- Implemented API to connect the technical glossary and the recommendation system.
- Designed a UI/UX interface for top 5 terms recommendation for terms and domain in the glossary.
- Designed and programmed a Machine Learning-based Catalog System for Recommendation.
- Main Issues: No state-of-the-art recommendation tool and difficulty in measuring the accuracy of recommendation.
- Implemented 4 different recommendation techniques for data catalogs.
- Constructed a database-based user tracking system for user’s personalized data and recommendation.
- Developed and implemented data virtualization commercialized tool with various DBMS support
- Main Issues: Expansion of different DBMS and optimization, and customization for clients.
- Implemented a Hadoop-based virtualization tool and a Query repository for handling and managing different data.
- Experimented an AI-based caching algorithm and scheduling method for the constructed system.
- Achievements: 4 publications, 3 Korean patent registrations, 1 U.S. patent application; August 2020 Employee of the Month Award
Education
EDUCATION
The Pennsylvania State University University Park, PA
Doctor of Philosophy in Computer Science and Engineering. Aug. 2023 – Present
- Advisor: Vijaykrishnan Narayanan, Jack Sampson
The University of Texas at Austin Austin, TX
Doctor of Philosophy in Electrical and Computer Engineering. Aug. 2022 – May 2023
- UT Graduate Excellence Fellowship (2022 Fall, 2023 Spring).
- Temple Foundation Graduate MCD Engineering Fellowship (2022- 2025)
Pennsylvania State University University Park, PA
Master of Science in Computer Science and Engineering. Aug. 2017 – May 2019
- Master’s Thesis: Context Aware Collaborative Object Recognition for Multi Camera Time Series Data
Bachelor of Science in Computer Engineering (GPA: 3.92/4.00) Aug. 2014 – May 2018
- Bachelor’s Thesis: Coupled Oscillator-based FAST Corner Detection
- Graduated with a Magna Cum Laude
- Schreyer Honors College; Dean’s List for All Semesters
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Jobs near State College, Borough of State College, Centre
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Restaurant Bartender
Found in: MyJobHelper US C2 - 1 day ago
Shaner State College, United StatesThe Bartenders serve beer, wine and mixed drinks to our guests. (S)he ensures that the guests are satisfied with their drinks and having a pleasant experience. Alcohol awareness certification and/or prior bartending experience preferred. Work shifts Bartender, Restaurant, Golf, H ...
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Home assistant for deep cleaning on the floor"
Found in: Handyman CS US - 1 week ago
Direct apply
beBee Handyman Carbon Hill, IL, United States FreelanceWe are looking for a thorough cleaning for our home in Carbon Hill, IL due to an upcoming move. We will be moving at the end of August and have family coming to visit on September 10th, so we would like the house to be clean when they arrive. After that, we would need occasional ...
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PT Associate Center Store Replenishment- NIGHT CREW
Found in: One Red Cent US C2 - 3 days ago
The GIANT Company Perkasie, United StatesAddress: USA-PA-Perkasie-1153 N 5th Street · Store Code: GC - Store Mgrs · At The GIANT Company we're committed to making our stores and facilities better every day for our team members, customers, and communities. It's our secret recipe for success and it guides everything we ...