Jaewon Choi
Hanyang University · 工学
研究室紹介
Professor Jaewon Choi's research lab specializes in advanced manufacturing technologies, particularly laser-based additive manufacturing processes such as Directed Material Deposition (DMD) and laser cladding. The lab focuses on modeling and optimizing fluid dynamics, heat transfer, and solidification phenomena to enhance process stability, part quality, and dimensional accuracy. Additionally, the lab explores human-computer interaction and digital marketing, investigating social presence, trust, and influencer-user relationships in online recommendation systems and e-commerce platforms. These interdisciplinary efforts bridge materials science, computational modeling, and behavioral informatics to advance smart manufacturing and personalized digital services.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Providing recommendations is acknowledged to be an important feature of a business-to-consumer online storefront. Although many studies have examined the algorithms and operational procedures relevant to personalized recommender systems, empirical evidence demonstrating relationships between social presence and two important outcomes of evaluating recommender systems—reuse intention and trust—remains lacking. To test the existence of a causal link between social presence and reuse intention, and
Laser aided Directed Material Deposition (DMD) is an additive manufacturing process based on laser cladding. A full understanding of laser cladding is essential in order to achieve a steady state and robust DMD process. A two dimensional mathematical model of laser cladding with droplet injection was developed to understand the influence of fluid flow on the mixing, dilution depth, and deposition dimension, while incorporating melting, solidification, and evaporation phenomena. The fluid flow in
It has become a marketing trend for marketers to use influencers to advertise and sell products because influencers can affect the attitudes and decision-making of other social media users. Most previous research on influencer marketing has concentrated on its effectiveness as a promotional tool. In contrast, there have been limited studies on the influencer-social media user relationship. The relationship that influencers have with other social media users is the foundation for the success of i
The purpose of this study was to predict the online sales volume for organic products, identify important factors for selling organic products, and suggest web marketing strategies for organic product sales. Through the review of organic products on Taobao’s platform, the emotional analysis method is used to divide the review of crawling organic products into positive reviews and negative reviews. Using the Latent Dirichlet Allocation (LDA) method, extracting keywords, identifying important fact
(ProQuest: ... denotes formulae omitted.)1.IntroductionThe emergence of user-based Web services and personalization technologies has allowed many companies to provide personalized content or services to users [Hill and Troshani 2010] and business intelligence [Foshay and Kuziemsky 2014; McBride 2014]. User-based Web services and personalization technologies refer to Web services and technologies that employ personal user information. Rapid improvements in Web, mobile facilities, and services hav
Laser aided direct metal/material deposition process builds metal parts layer-by-layer directly from the computer aided design representation. Success of this technology in the die and tool industry depends on the parts quality to be achieved. To get designed geometric dimensions and material properties, delicate control of the process variables such as laser power, spot diameter, traverse speed, and powder mass flow rate is critical. With a closed loop optical height control system, the dimensi
Laser aided direct metal/material deposition (DMD) process, one of the technologies based on laser cladding, has demonstrated the ability to make a metal component directly from a 3-D CAD model. DMD process is achieved with a laser system combined with a NC machine tool or laser-robot system. Making metallic parts directly, designer can reduce unnecessary steps such as mock-up and molding. In the sense, DMD process is rather a rapid production technique than a rapid prototyping process. With con
We present LpGL, an OpenGL API compatible Low-power Graphics Library for energy efficient AR headset applications. We first characterize the power consumption patterns of a state of the art AR headset, Magic Leap One, and empirically show that its internal GPU is the most impactful and controllable energy consumer. Based on the preliminary studies, we design LpGL so that it uses the device's gaze/head orientation information and geometry data to infer user perception information, intercepts appl