Dongguk University

韩国留学专业全解读 热门专业与就业趋势 韩国高等教育资源丰富、专业选择多元，本篇突破性梳理留学热门专业，为你定位未来发展方向，助力职业规划步步为营。 韩国留学热门专业解析： 找到适合你的发展方向 在留学规划中，专业选择至关重要。韩国作为亚洲教育强国，凭借优质高等教育资源和邻近的地理位置，成为中国学生留学的热门之选。 下面为大家解析韩国留学的热门专业，助你做出合适选择。 信息技术与人工智能： 数字化时代的中流砥柱 韩国在半导体、通信技术和人工智能领域处于全球领先。三星、LG等知名企业与高校深度合作，推动技术创新。 推荐专业 计算机科学：该专业侧重算法设计和系统开发。首尔大学、KAIST（韩国科学技术院）的相关课程包含量子计算、区块链等前沿内容。 数据科学与人工智能：延世大学与SK集团携手开设“AI + 医疗”跨学科项目。该专业毕业生大多能进入Naver、Kakao等科技行业领军企业。 就业优势 据韩国雇佣劳动部2023年数据，IT工程师平均年薪达7500万韩元（约合人民币40万元），远超其他行业。国内互联网大厂（如字节跳动、腾讯）对韩语 + 技术的复合型人才需求大，起薪普遍高于国内同专业毕业生。 金融与商科管理：全球化商业精英的孵化地 韩国金融业开放程度高，首尔江南区聚集了高盛、摩根士丹利等国际投行分支机构。 推荐方向 金融工程：成均馆大学GSB学院开设“金融科技与量化分析”课程，并与三星证券联合培养专业人才。 国际商务：庆熙大学的Global MBA项目全英文授课，学生有机会参与现代、起亚等企业的海外市场拓展实战活动。 院校特色 延世大学管理学院（Yonsei SOM）获得AACSB认证，其毕业生在韩国四大会计师事务所的入职率超过60%。 商科专业涵盖市场营销、国际商务、金融分析等方向，毕业生可进入跨国企业、银行、咨询公司等领域。 韩资企业（如现代汽车、LG化学）在华分公司优先招聘懂韩语、熟悉韩国商业文化的毕业生，薪资较国内同类岗位高15% - 20%。 文化创意产业：韩流文化背后的学术力量 从K - POP到奈飞定制剧，韩国文化全球传播离不开高校对创意人才的培养。 细分领域 影视制作：中央大学戏剧电影系有独立制片厂，学生可参与CJ ENM（《寄生虫》制片方）的合作项目。 游戏设计：世宗大学开设“元宇宙内容开发”专业，课程涉及Unity引擎编程和用户体验设计等。 时尚营销：弘益大学与三星时尚研究所联合成立“智能纺织品设计”实验室，重点研究可穿戴设备和环保材料。 语言要求 多数专业要求TOPIK 5级，但东国大学的“全球文化内容”硕士项目提供英语授课选项。 国内互联网平台（如抖音、B站）加速布局“国际化内容”，需大量熟悉韩流生产逻辑的人才，负责韩国区内容策划、创作者孵化等岗位。 设计专业：创意与实用的完美融合 韩国在游戏、动漫、服装等设计领域国际领先，艺术类院校在艺术设计方面优势明显。专业课程注重培养学生创意能力和实践技能，提供丰富实践机会和专业指导。 推荐院校 弘益大学、中央大学、建国大学、梨花女子大学。国内服装品牌（如李宁、波司登）加速国际化，需大量熟悉韩国潮流趋势的设计师，负责联名款开发、海外旗舰店设计等。 机械工程与自动化：高端制造的核心支撑 韩国在汽车工程、机器人、航空航天等领域技术深厚，现代汽车、起亚汽车等企业全球销量领先。机械专业涵盖智能制造、工业设计、新能源技术等方向，毕业生可进入汽车制造、装备研发、新能源等领域。 就业优势 国内新能源汽车产业爆发式增长，比亚迪、蔚来等企业急需具备韩国现代汽车技术背景的工程师，负责电池管理系统、智能驾驶辅助等核心模块研发。 生命科学与医学：产学研融合的典范 韩国政府计划2025年前投入2.5万亿韩元支持生物医药研发，高校研究成果能直接对接产业需求。 前沿方向 基因编辑与细胞治疗：首尔大学医学院与三星医疗中心合作开展CAR - T细胞临床试验。 数字健康管理：高丽大学的“智能医疗系统工程”专业整合了AI诊断和远程医疗技术。 专业选择建议 结合个人兴趣与职业规划 韩国高等教育体系课程设置注重实践导向与跨学科融合，选择专业时要兼顾个人兴趣、职业规划及院校优势学科。 关注行业发展趋势 2025年韩国政府推出“数字新政2.0”，重点扶持人工智能、半导体、生物健康等领域，留学生可优先申请相关奖学金及就业支持项目。 韩国留学不仅是学术深造，更是融入全球产业链的契机。从首尔大学的精密工程到中央大学的影视制作，每个专业都蕴含改变行业的潜力。 希望本文能助你找到最适合的发展方向，开启成功留学之旅。 北京韩语培训 这里经营韩国留学业务和一对一线上、线下韩语培训。无论你身处全国哪个地区，都能在这里办理去韩留学相关事宜。对于想要利用寒假暑假集中提升韩语水平的同学，这里还开设了集训班。如果你也怀揣着韩国留学的梦想，渴望提升自己的韩语水平，那么不要犹豫了，快来报名吧！ END #韩国留学攻略 #韩语培训 #韩语培训机构#  #韩语TOPIK考试 #韩语集训 #韩国留学专业

This method enables medical digital twins to achieve 98% accuracy in breast cancer prediction, even under adversarial attacks SEOUL, South Korea, April 11, 2025 /PRNewswire/ -- Medical digital twins are virtual models of the human body that can help predict diseases with high accuracy. However, they are vulnerable to cyberattacks that can manipulate data and lead to incorrect diagnoses. To address this, researchers from Dongguk University developed the Wavelet-Based Adversarial Training (WBAD) defense system. Tested on a breast cancer diagnostic model, WBAD restored accuracy to 98% against attacks, ensuring safer and more reliable medical digital twins for healthcare applications. Continue Reading WBAD combines wavelet denoising to remove high-frequency noise from input images and adversarial training to recognize and resist adversarial inputs A digital twin is an exact virtual copy of a real-world system. Built using real-time data, they provide a platform to test, simulate, and optimize the performance of their physical counterpart. In healthcare, medical digital twins can create virtual models of biological systems to predict diseases or test medical treatments. However, medical digital twins are susceptible to adversarial attacks, where small, intentional modifications to input data can mislead the system into making incorrect predictions, such as false cancer diagnoses, posing significant risks to the safety of patients. To counter these threats, a research team from Dongguk University, Republic of Korea, and Oregon State University, USA, led by Professor Insoo Sohn, has proposed a novel defense algorithm: Wavelet-Based Adversarial Training (WBAD). Their approach, which aims to protect medical digital twins against cyberattacks, was made available online on October 11, 2024, and is published in volume 115 of the March 2025 issue of the journal Information Fusion. "We present the first study within Digital Twin Security to propose a secure medical digital twin system, which features a novel two-stage defense mechanism against cyberattacks. This mechanism is based on wavelet denoising and adversarial training," says Professor Insoo Sohn, from Dongguk University, the corresponding author of the study. The researchers tested their defense system on a digital twin designed to diagnose breast cancer using thermography images. Thermography detects temperature variations in the body, with tumors often appearing as hotter regions due to increased blood flow and metabolic activity. Their model processes these images using Discrete Wavelet Transform, which extracts essential features to create Initial Feature Point Images. These features are then fed into a machine learning classifier trained on a dataset of 1,837 breast images (both healthy and cancerous), to distinguish between normal and tumorous tissue. Initially, the model achieved 92% accuracy in predicting breast cancer. However, when subjected to three types of adversarial attacks—Fast Gradient Sign Method, Projected Gradient Descent, and Carlini & Wagner attacks—its accuracy dropped drastically to just 5%, exposing its vulnerability to adversarial manipulations. To counter these threats, the researchers introduced a two-layer defense mechanism. The first layer, wavelet denoising, is applied during the image preprocessing stage. Adversarial attacks typically introduce high-frequency noise into input data to mislead the model. Wavelet denoising applies soft thresholding to remove this noise while preserving the low-frequency features of the image. To further improve the model's resilience, the researchers added an adversarial training step, which trains the machine learning model to recognize and resist adversarial inputs. This two-step defense strategy proved highly effective, with the model achieving 98% accuracy against FGSM attacks, 93% against PGD attacks, and 90% against C&W attacks. "Our results demonstrate a transformative approach to medical digital twin security, providing a comprehensive and effective defense against cyberattacks and leading to enhanced system functionality and reliability," says Prof. Sohn. Reference Title of original paper: Adversarial robust image processing in medical digital twin Journal: Information Fusion DOI: 10.1016/j.inffus.2024.102728 Website: Media Contact: Sunggeun Cho 82 2-2260-3069 [email protected] SOURCE Dongguk University WANT YOUR COMPANY'S NEWS FEATURED ON PRNEWSWIRE.COM? 440k+ Newsrooms & Influencers 9k+ Digital Media Outlets 270k+ Journalists Opted In GET STARTED

Installation Marks the Second ZAP-X System in Korea to Offer the Latest Advance in Non-Surgical Brain Tumor Care GOYANG-SI, South Korea--(BUSINESS WIRE)-- ZAP Surgical Systems, Inc., a global leader in surgical robotics, proudly announces the completion of first patient treatments at Dongguk University Ilsan Hospital using the ZAP-X® Gyroscopic Radiosurgery® platform. This marks the second installation of the ZAP-X system in Korea, signifying a substantial advancement in providing cutting-edge medical care to patients in the Asia-Pacific region. This press release features multimedia. View the full release here: The Vault-Free, Cobalt-Free ZAP-X® Gyroscopic Radiosurgery® Platform at Dongguk University Ilsan Hospital (interior view). (Photo: Business Wire) Stereotactic radiosurgery (SRS) provides a non-invasive and painless treatment option for treating many primary and metastatic brain tumors, as well as other conditions of the head and neck. With outcomes equivalent or superior to traditional open surgeries, SRS typically involves only one to five brief outpatient visits, allowing patients to often resume normal activities on the same day. Historically, the hospital’s radiosurgery patients were treated in the Radiation Oncology department using multi-purpose radiation delivery systems typically employed for breast, lung, and prostate cancers. However, with the addition of the ZAP-X platform, the Neurosurgery department at Dongguk University Ilsan Hospital will now independently lead cranial SRS treatments. The ZAP-X system is exclusively optimized for cranial, head, and neck applications, helping to ensure the highest precision and minimize potential radiation exposure to healthy critical anatomy. Located 60 minutes from Seoul's Incheon International Airport, Dongguk University Ilsan Hospital is a renowned medical institution founded by Dongguk University. With 33 departments, 47 specialized clinics, and 11 specialized centers, the hospital is committed to delivering exceptional patient care through the latest innovations and advanced technology. The ZAP-X system's ground-breaking design utilizes gyroscopic mobility to precisely focus high-dose radiation on targeted tumors from thousands of potential angles, maximizing the preservation of healthy brain tissue and patient cognitive function. Further, its vault-free and cobalt-free features eliminate the requirement for expensive shielded radiation treatment rooms and the management of radioactive isotopes. Dr. Seung-yeob Yang, Professor of Neurosurgery at Dongguk University Ilsan Hospital expressed his enthusiasm, stating, "The ZAP-X system represents a meaningful advancement in our ability to treat primary and metastatic brain tumors, as well as functional disorders such as trigeminal neuralgia. Its precision and non-invasive nature allow us to provide our patients with the best possible care while minimizing side effects and patient downtime." “Together with superior technical capabilities, the ZAP-X platform offered significant advantages over traditional radiation delivery systems. Also, ZAP-X eliminated the need to construct a shielded radiation bunker and allowed for easy installation in our existing outpatient Neurosurgery department,” added Dr. Yang. About ZAP Surgical Systems, Inc. ZAP Surgical Systems, Inc. designs and manufactures the ZAP-X® Gyroscopic Radiosurgery® platform. ZAP was founded in 2014 by Dr. John R. Adler. In addition to being CEO of ZAP, Dr. Adler is Emeritus Dorothy & TK Chan Professor of Neurosurgery and Radiation Oncology at Stanford University. Dr. Adler is also renowned as the inventor of the CyberKnife® system and founder of Accuray, Inc. The ZAP-X platform incorporates a unique vault-free design that typically eliminates the need for costly shielded treatment rooms. ZAP-X also utilizes a modern linear accelerator to eliminate legacy use of Cobalt-60. Learn more at ZAP Surgical and follow us on LinkedIn. View source version on businesswire.com: Contacts Mark Arnold, ZAP Surgical Systems, Inc. Senior Vice President, Marketing +1 650 492 7797, ext. 101 Email: info@zapsurgical.com Source: ZAP Surgical Systems, Inc. Smart Multimedia Gallery Photo The Vault-Free, Cobalt-Free ZAP-X® Gyroscopic Radiosurgery® Platform at Dongguk University Ilsan Hospital (interior view). (Photo: Business Wire) Photo The Vault-Free, Cobalt-Free ZAP-X® Gyroscopic Radiosurgery® Platform at Dongguk University Ilsan Hospital (exterior view). (Photo: Business Wire) Logo View this news release and multimedia online at: