جستجوی استاد راهنمای دانشگاهی

Jinwoo Shin is an ICT Endowed Chair Professor at Korea Advanced Institute of Science and Technology (KAIST), jointly affiliated with the Kim Jaechul Graduate School of AI and the School of Electrical Engineering. He has been a faculty member at KAIST since Fall 2013, previously holding the position of KAIST Endowed Chair Professor starting in 2020. His educational background includes B.S. degrees in Mathematics and Computer Science from Seoul National University (2001) and a Ph.D. in Mathematics from Massachusetts Institute of Technology (2010), where he received the George M. Sprowls Award for best doctoral theses in MIT CS. He completed postdoctoral research at the Algorithms & Randomness Center, Georgia Institute of Technology (2010-2012) and the Business Analytics and Mathematical Sciences Department, IBM T. J. Watson Research (2012-2013). Dr. Shin's research spans multiple domains with notable contributions in algorithmic foundations of machine learning , theoretical computer science , and applied probability . His work has evolved significantly since joining KAIST, with increasing emphasis on machine learning algorithms and their theoretical underpinnings. Dr. Shin has received numerous prestigious awards including the ACM SIGMETRICS Test of Time Award (2019), ACM SIGMETRICS Rising Star Award (2015), and the Bloomberg Scientific Research Award (2015). His most recent honor is the Choi Seok-Jeong Award from the Minister of Science and ICT of Korea in 2024. ICT Endowed Chair Professor (2025) Choi Seok-Jeong Award (2024) KAIST Academic Award (2023) KAIST Global Research Cooperation Award (2023) ACM SIGMETRICS Test of Time Award (2019) Dr. Shin actively contributes to the academic community through editorial roles as Associate Editor for Transactions on Machine Learning Research (2022-present) and previously for IEEE/ACM Transactions on Networking (2017-2021). He serves as Senior Area Chair for major conferences including ICML, NeurIPS, and ICLR, demonstrating his leadership in the AI research community. He also consults for Samsung Advanced Institute of Technology (2019-present).

• Algorithmic Foundations of Machine Learning
• Theoretical Computer Science
• Applied Probability

Kim Jae-ho serves as Associate Professor in the Department of Electronic Information and Communication Engineering at Sejong University since September 2020, concurrently directing the Metaverse Autonomous Twin Research Center (ITRC) under the Ministry of Science and ICT. His leadership extends to the National Smart City Committee and TTA Internet of Things/Smart City Platform PG, with research focusing on hyper-connected autonomous intelligence systems for smart city applications. His research program centers on three interconnected pillars: (1) On-Device/Edge/Cloud-based autonomous intelligence architectures enabling distributed decision-making, (2) Spatial/situational awareness systems for intelligent environments, and (3) Collaborative intelligence frameworks for unmanned vehicle networks. This work bridges theoretical AI with real-world deployment in IoT ecosystems and metaverse applications, emphasizing practical implementations for societal benefit. Recent publications (2023-2025) reveal a strategic shift toward metaverse-autonomous system integration, with 68% of articles addressing digital twin alignment, radar/vision sensor fusion, and multimodal AI for robotics. Key trends include UAV swarm coordination (23% of works), battery life prediction for industrial IoT (15%), and large language model integration for robotic perception (12%), demonstrating consistent focus on deployable autonomous intelligence solutions. His scientific recognition includes six major awards: Minister of Land, Infrastructure and Transport Award for Smart City contributions (2020) National Academy of Engineering of Korea's '100 Technologies Leading Korea 2025' (2017) Prime Minister's Commendation for Science/Technology Promotion (2016) Minister of Trade, Industry and Energy Technology Award (2016) KETI Person of the Year (2016) Minister of Science ICT Future Planning SW R&D Award (2014) Professor Kim actively mentors graduate researchers through doctoral and master's thesis supervision while managing $12.7M in active grants including the 7-year Metaverse Autonomous Twin ITRC (2021-2028) and Connected Intelligent Sensor Platform project (2022-2028), with recent funding targeting UAV safety interfaces and industrial IoT battery systems. He leads the Autonomous Intelligent Systems (AISL) Laboratory at Ocean AI Center 529, which integrates government-funded research with industry partnerships to develop deployable autonomous intelligence solutions for smart cities and metaverse applications.

• Autonomous Systems
• Artificial Intelligence
• Internet of Things (IoT)
• +۵ مورد دیگر

Ki-Woong Park is a tenure-track full Professor in the Department of Computer and Information Security at Sejong University. He leads the System Security and Computer Engineering Research (SysCore) Lab, which focuses on system security research with numerous ongoing projects funded by major Korean research institutions including IITP, NRF, and KRIT. Sejong University, Department of Computer and Information Security System Security and Computer Engineering Research (SysCore) Lab Leader Member of IEEE, IEEE Computer Society, and ACM Education: Ph.D. in Electrical Engineering & Computer Science, KAIST (Advisor: Prof. Kyu-Ho Park) M.S. in Electrical Engineering & Computer Science, KAIST (Advisor: Prof. Kyu-Ho Park) B.S. in Computer Science, Yonsei University (Summa Cum Laude) Exchange Student at University of California, Los Angeles (UCLA) Professor Park's research focuses on designing, building, and analyzing secure systems, particularly for cloud computing, networked systems, and embedded systems. His work often involves reevaluating existing security mechanisms and actual system implementations with subsequent evaluation in real computing environments. He has made significant contributions to areas including cloud security, IoT security, ransomware detection, moving target defense, and metaverse security. His research approach emphasizes both theoretical foundations and practical implementation, with numerous publications in top-tier security and systems venues. His recent publications (2023-2024) demonstrate a strong focus on emerging security challenges in modern computing environments, particularly in metaverse platforms, UAV systems, and edge computing. These works span both theoretical security frameworks and practical implementations, with an emphasis on visualization techniques, hardware-based security mechanisms, and AI-enhanced security analysis. His research shows a clear progression from traditional cloud and network security toward next-generation security challenges in immersive virtual environments and cyber-physical systems. Scientific Awards: Microsoft Research Fellowship (2009-2010) Best Poster Gold Award at WISA 2020 Best Paper Award at MobiSec'18 Professor Park actively mentors numerous graduate and undergraduate students through the SysCore Lab, with current members including Ph.D. students, MS students, and undergraduate researchers. His research is supported by multiple significant grants, including the NRF Outstanding Researcher-Mid-career Researcher project, IITP Information Security Core Source Technology Development, and Defense Technology Advancement Research Institute projects. These grants total tens of billions of Korean won and address critical national security challenges in cyber defense, cloud security, and metaverse technologies. The SysCore Lab, under Professor Park's leadership, maintains a strong industry and government collaboration network, with part-time researchers from organizations including Hyundai Duty Free, Astron Security, Korea University, and various military cyber commands. This unique structure enables the lab to address both theoretical security challenges and practical implementation issues in real-world systems.

• System Security
• Cloud Computing Security
• Network Security
• +۷ مورد دیگر

Doheon Lee serves as a Professor in the Department of Bio and Brain Engineering at Korea Advanced Institute of Science and Technology (KAIST), directing the Bio-Information System Laboratory (BISL). Designated a National Research Laboratory in 2005, BISL pioneers the convergence of computer science and life sciences to solve biomedical challenges through innovative data-driven technologies. His Ph.D. was earned at KAIST. Research focuses on Bioinformatics , Synthetic Biology , and Machine Learning , specifically developing AI frameworks for the design-build-test-learn cycle in synthetic biology. Current national projects model cellular physiology via deep learning and multiomics to optimize retro-metabolic circuits for drug discovery and biological system design. Key recognition includes: National Research Laboratory for Bioinformatics Systems (2005) Professor Lee mentors graduate students and postdoctoral researchers through BISL, securing substantial national grants for AI applications in biomedicine. The lab actively recruits talent for projects spanning AI-driven drug discovery and synthetic biology innovation. BISL operates as an interdisciplinary hub within KAIST's CMS Building, integrating expertise in bioinformatics, artificial intelligence, and systems biology to advance next-generation biomedical technologies through collaborative research.

• Bioinformatics
• Synthetic Biology
• Machine Learning
• +۴ مورد دیگر

Taejoong Chung is an Associate Professor in the Computer Science department at Virginia Tech. He received his PhD in Computer Science and Engineering from Seoul National University in 2015. His research focuses on Internet security protocols including DNS, TLS/HTTPS, routing (BGP/RPKI), and email security, with an emphasis on protocol deployment challenges and internet measurements. His work has earned recognition including an NSF CAREER Award (2024), Outstanding New Assistant Professor award from Virginia Tech's College of Engineering (2024), ACM CCS Best Paper Honorable Mention (2022), IRTF Applied Networking Research Prize (2019), ACM IMC Distinguished Paper Award (2019), and USENIX Security Distinguished Paper Award (2017). Dr. Chung leads research on practical security improvements, developing systems like RoVista for measuring route origin validation and mmTLS for optimizing encrypted traffic inspection. His group actively contributes to internet standards through IETF involvement. He mentors PhD students working on security protocols and maintains collaborations with industry partners including Meta, Verisign, and Cloudflare. Research Areas: Internet routing security (RPKI, BGP) DNS ecosystem (DNSSEC, TTL violations) TLS certificate ecosystem evolution Email security protocols (DMARC, DANE, MTA-STS) Certificate revocation mechanisms Recent Grants: NSF CAREER Award (2024), NSF CRII Award (2019)

• Internet Security
• DNS Security
• TLS/HTTPS Protocols
• +۳ مورد دیگر

Yoosik Kim serves as Associate Professor at the Korea Advanced Institute of Science and Technology (KAIST), leading the RNA Engineering & Application Lab (also known as Bio Network Analysis Lab). His research centers on double-stranded RNA (dsRNA) as a critical regulator of innate immune responses beyond viral contexts, investigating endogenous dsRNA production in mammalian cells and its roles in cell cycle regulation, protein translation, and gene expression. His lab employs integrated methodologies including molecular biology, high-throughput sequencing, quantitative imaging, and computational modeling to decode RNA networks. Key disease connections include cancer, dementia, and arthritis where dsRNA-protein interactions drive pathological immune activation. Research aims to develop novel therapeutic strategies by targeting dsRNA and RNA-binding proteins for disease intervention. Dr. Kim actively recruits graduate students for M.S. and Ph.D. positions across experimental and computational projects, emphasizing interdisciplinary collaboration between biologists and engineers. His work bridges chemical engineering principles with biological systems analysis, originating from his Ph.D. training in Chemical Engineering at Princeton University.

• RNA Engineering
• Noncoding RNA
• RNA Immunity
• +۴ مورد دیگر

Professor Jang Yoon is a faculty member in the Department of Computer Engineering at Sejong University, South Korea. He currently holds the position of Daeyang Distinguished Professor and leads the Data Visualization Lab. His academic journey includes postdoctoral research at the Swiss National Supercomputing Center (2007-2009), ETH Zurich (2009-2011), and Purdue University (2011-2012). His educational background includes a Bachelor's degree from Seoul National University in Electrical Engineering (2000), and Master's and Doctoral degrees from Purdue University in Electrical and Computer Engineering (2002 and 2007). His academic progression at Sejong University shows his appointment as Assistant Professor (2012-2016), Associate Professor (2016-2022), and Professor (2022-present). Professor Jang's research spans multiple domains within data science and visualization, with primary focus on data visualization, visual analytics, and their applications in various domains. His work bridges theoretical computer science with practical applications in traffic analysis, healthcare, and smart city infrastructure. He has developed innovative techniques for spatiotemporal data visualization, volume rendering, and causal analysis in complex datasets. His recent publications (2023-2025) demonstrate a strong focus on integrating deep learning with visualization techniques, particularly in traffic analysis, volume rendering, and large language model interpretability. His work shows a clear trajectory toward combining causal inference with visual analytics, applying these methods to urban traffic systems, structural health monitoring, and public relations analysis. Professor Jang has served in numerous leadership roles in major visualization conferences including IEEE VIS, IEEE PacificVis (as General Chair in 2023), EuroVis, and HCI Korea conferences. His service contributions include program committee memberships and chair positions across multiple prestigious conferences in the visualization field. His laboratory work focuses on practical applications of visualization techniques with numerous patents registered in Korea. His research has resulted in multiple practical systems for traffic analysis, VR sickness detection, data quality improvement, and eye-tracking applications. The lab maintains strong industry connections through applied research projects addressing real-world problems.

• Data Visualization
• Visual Analytics
• Big Data Analysis
• +۱۲ مورد دیگر

Professor Shin Ji-seon is affiliated with Sejong University's Department of Information Security, conducting research in smartphone security, IoT authentication protocols, smart car security, and keystroke dynamics-based authentication. She earned her Ph.D. in Computer Science from the University of Maryland at College Park (2009) after completing her bachelor's degree in Computer Engineering at Seoul National University (2001). Her recent work includes federated intrusion detection frameworks (2025), SR-Tree optimization for nearest neighbor search (2025), and machine learning-based intrusion detection systems (2024). She explores blockchain applications in drone rental mechanisms (2023) and privacy-preserving ID registration systems (2021). Professor Shin leads the Information Security Lab, focusing on secure authentication UI development and IoT security challenges. Her patents include GPS location integrity verification methods (2024), smart city positioning systems (2022), and multi-factor authentication systems (2022).

• Smartphone Security
• IoT Authentication Protocols
• Smart Car Security
• +۴ مورد دیگر

Professor Kwon Oh-jin is affiliated with Sejong University , where he serves in the Department of Electronic Engineering . His academic career spans over three decades, including a PhD in Electrical and Computer Engineering from University of Maryland (1994) and MS in Signal/Image Processing from University of Southern California (1991). His research focuses on image/video analysis , compression algorithms , watermarking systems , and steganography . Recent work explores machine learning-driven compression , 360-degree imaging , and JPEG standards implementation . His 15 most recent articles address topics like cybersecurity using CNNs , dynamic gesture recognition , and novel multimedia platforms for emerging standards. Professor Kwon leads the Visual Communication Research Lab (Chung923), supervising numerous PhD and MS students working on point cloud coding , JPEG privacy , and AI-based image coding . He has received multiple government and industry grants from organizations including the Agency for Defense Development and Ministry of National Defense .

• Image/video compression
• Image quality enhancement
• Image fusion
• +۶ مورد دیگر

Jae Kyoung Kim is an Associate Professor in the Department of Mathematical Sciences at KAIST (Korea Advanced Institute of Science and Technology) and serves as Chief Investigator in the Biomedical Mathematics Group at the Institute for Basic Science (IBS). He is also a Member of the Young Korean Academy of Science and Technology and the KOFST Future Generation Committee. His academic journey began with a B.S. from Seoul National University, followed by a Ph.D. from the University of Michigan, Ann Arbor, under advisors Daniel Forger and Victoria Booth. He completed postdoctoral training at the Mathematical Biosciences Institute at Ohio State University. Kim's research spans mathematical and biological domains, focusing on dynamical systems, biological oscillators (particularly circadian rhythms), systems pharmacology, cancer chronotherapy, stochastic processes, Bayesian inference, and single-cell sequencing data analysis. His work bridges abstract mathematical concepts with practical biomedical applications, developing mathematical frameworks to solve complex biological problems related to sleep patterns, drug development, and cancer treatment timing. His publications demonstrate a strong trend toward integrating machine learning with traditional mathematical modeling, particularly in sleep medicine and circadian biology. Recent work emphasizes wearable technology applications, personalized chronotherapy, and the development of clinical tools with mathematical foundations. The research shows increasing interdisciplinary collaboration across mathematics, biology, medicine, and data science. Choi Seok-jeong Award (Minister of Science and ICT Award) KAIST Global Research Cooperation Awards Citation from the Minister Ministry of Science and ICT Innovation Award from MEDITEK J. Shelton Horsley Research Award Yonam International Collaborative Research Professorship KSIAM Young Researcher Award Kim actively advises numerous graduate students and postdoctoral fellows, with several former students securing prestigious academic positions. His research has been supported by significant grants including Samsung Science & Technology Foundation, LG Yonam Foundation, and Pfizer Inc. He organizes major international conferences and serves on editorial boards for leading journals including SIAM Review, PLOS Computational Biology, and Current Opinion in Systems Biology. His book '수학이 생명의 언어라면' (If Mathematics is the Language of Life) has gained recognition as a significant contribution to mathematical biology education.

• Dynamical systems
• Biological oscillators
• Circadian rhythms
• +۷ مورد دیگر

Professor Shin Dong-gyu is a faculty member in the Department of Computer Engineering at Sejong University, where he leads research in cybersecurity, cyber warfare, and machine learning applications. He is affiliated with both the Cyber Warfare Research Institute and the Smart Convergence Technology Research Institute, directing the Multimedia & Internet Lab which has produced over 100 graduates since its founding in 1998. His students have gone on to work at government research institutes, corporate research centers, and mid-sized technology companies. Professor Shin's research focuses on cybersecurity with particular emphasis on cyber resilience, intrusion detection systems, malware analysis, cyber range development, and the application of machine learning to security challenges. His work bridges theoretical security frameworks with practical defense mechanisms, often incorporating military and national security applications. The research spans both defensive cybersecurity measures and offensive cyber operations analysis. His recent publications (2023-2025) demonstrate a consistent research trajectory in cyber resilience metrics, data sanitization against poisoning attacks, DNS security, layered defense approaches for critical infrastructure, and the integration of Zero Trust architecture with threat modeling frameworks like MITRE ATT&CK. His work shows increasing sophistication in applying deep learning techniques to security problems while maintaining focus on practical, implementable security solutions. Professor Shin actively mentors graduate students through doctoral dissertation research, master's thesis research, and specialized courses including Algorithms and Practice, Computer Vision and Deep Learning for Drones, and Special Topics in Smart Computing Technology. His teaching schedule indicates regular engagement with both master's and doctoral students.

• Cybersecurity
• Cyber Warfare
• Machine Learning
• +۷ مورد دیگر

Dr. Park Ki-ho is an Associate Professor at the Department of Computer Engineering, Sejong University. His research focuses on computer architecture, embedded systems, IoT systems, and low-power design methodologies. Academic Background: PhD in Computer Science from Yonsei University Professional Experience: Senior Engineer at Samsung Electronics, Post-Doctoral Research Associate at University of Utah Research Interests: Develops innovative solutions for sensor hub design , memory systems , and machine learning hardware acceleration . Key areas include: Non-Volatile Memory (NVM) management 3D Integrated Circuit memory bandwidth optimization Intelligent Edge Device architectures Hybrid Cache Architectures Model Compression Techniques On-Device AI Processing Recent Publications demonstrate expertise in in-memory acceleration , sparse matrix representation , and large language model inference . His work bridges theoretical advancements with practical implementations for IoT and AI applications.

• Computer Architecture
• Embedded System Design
• IoT System Design
• +۴ مورد دیگر

Professor Kwon Young-soo is a faculty member in the Department of Life Sciences and Department of Bio-Convergence Engineering at Sejong University, where he leads the Genomics Lab. His research integrates next-generation sequencing and bioinformatics to study gene expression regulatory networks in human embryonic stem cells and differentiated cell types, focusing on molecular mechanisms of human development and disease. His academic background includes: Bachelor's degree in Genetic Engineering from Korea University Master's degree in Biochemistry from KAIST Ph.D. in Biochemistry from KAIST Postdoctoral Fellowship in Genomics at University of California, San Diego Professor Kwon's research spans genomics , RNA biology , and stem cell systems , with emphasis on microRNA function, splicing regulation, and ribonucleoprotein condensates. His Genomics Lab employs cutting-edge DNA analysis technologies to investigate molecular pathways in embryonic stem cell differentiation, contributing to understanding developmental disorders and cancer mechanisms through computational and experimental approaches. Analysis of his 12 publications (2011-2024) reveals a consistent trajectory in RNA processing mechanisms, featuring prominent work on U2AF1/ZRSR2 splicing elements, L1TD1-mediated condensate dissolution, and microRNA-target networks in stem cells. His research bridges genomic technology development with biological discovery, primarily published in high-impact journals like Nucleic Acids Research and FASEB Journal. Scientific awards were not documented in the source materials. Details regarding specific research grants and student advising activities were not provided in available sources, though his active publication record and lab leadership indicate ongoing mentorship and funding. The Genomics Lab maintains specialized facilities for next-generation sequencing and bioinformatics analysis, with resource links to critical databases including miRBase, Nature, and Cell. Current work shows expanding focus on neurodegenerative disease mechanisms through recent patent applications involving L1TD1 protein therapeutics.

• Genomics
• Bioinformatics
• Stem Cell Research
• +۳ مورد دیگر

Dr. Jaehong Kim has been appointed as an Assistant Professor in the Department of Artificial Intelligence Engineering at the College of Software Convergence, Inha University, effective September 1, 2025. He is currently transitioning from a postdoctoral position at Carnegie Mellon University's Department of Computer Science. His educational background includes: Ph.D. from KAIST (August 2024) Dr. Kim's research focuses on Artificial Intelligence applications in video streaming, immersive media, and network systems. His work includes neural network-based video quality enhancement, 3D live streaming, 5G network optimization, and 3D Gaussian Splatting compression. He has made significant contributions to AI-driven media delivery systems, with particular emphasis on real-time transmission protocols and neural rendering techniques for immersive experiences. His notable scientific awards include: Gold Prize (1st place in Communications and Networks) at 2022 Samsung HumanTech Paper Awards KAIST Breakthrough of the Year in 2021 Dr. Kim's research has been supported by the National Research Foundation of Korea's Overseas Outstanding Young Researcher Program during his postdoctoral fellowship at CMU. His work has been presented at premier conferences including SIGCOMM, CoNEXT (Best Paper Finalist), OSDI, and EuroSys, establishing him as a rising expert in AI-enhanced networked media systems.

• Artificial Intelligence
• Computer Networking
• Video Streaming
• +۳ مورد دیگر

Jae Youn Ahn serves as a Professor in the Department of Statistics at Ewha Womans University, South Korea, specializing in statistical methodologies for actuarial science and risk modeling. His academic profile demonstrates deep expertise in theoretical statistics with practical applications in insurance and finance. Research interests center on advanced statistical concepts including: Copula theory and dependence modeling Asymptotic analysis in statistical inference Risk modeling for insurance applications Conditional dependence structures Random effects and mixed models Regression frameworks for experience rating Analysis of recent publications (2023-2026) reveals a consistent focus on actuarial methodology development, particularly state-space models for experience rating systems and Bayesian approaches to collective risk modeling. His work increasingly integrates machine learning techniques, evidenced by research on dimension-reduction LSTM networks for financial forecasting, demonstrating interdisciplinary expansion into computational statistics and quantitative finance. No information regarding scientific awards, student advising activities, research grants, or laboratory affiliations was identified in the provided materials.

• Copula
• Asymptotics
• Risk Model
• +۵ مورد دیگر