World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4696
World Ranking
12676
National Ranking
165

Overview

Insik Shin is affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their research primarily focuses on computer science with notable contributions in artificial intelligence, computer networks and communications, electrical and electronic engineering, hardware and architecture, and information systems and management.

Their work covers specific topics including software-defined networks and 5G, machine learning in healthcare, anomaly detection techniques and applications, green IT and sustainability, personal information management and user behavior, interactive and immersive displays, and adversarial robustness in machine learning.

Among the recent papers authored or coauthored by Insik Shin are:

  • RT-SDN: Adaptive Routing and Priority Ordering for Software-Defined Real-Time Networking, 2021, IEEE Systems Journal
  • Exploiting Missing Value Patterns for a Backdoor Attack on Machine Learning Models of Electronic Health Records: Development and Validation Study, 2022, JMIR Medical Informatics
  • Formullar: An FPGA-based network testing tool for flexible and precise measurement of ultra-low latency networking systems, 2020, Computer Networks
  • A-mash, 2022, Proceedings of the 28th Annual International Conference on Mobile Computing And Networking
  • Fluid: Flexible User Interface Distribution for Ubiquitous Multi-Device Interaction, 2020, GetMobile Mobile Computing and Communications

Frequent collaborators in their research include Sangeun Oh, Kilho Lee, Jihun Hamm, Sunjae Lee, and Byunggill Joe.

Insik Shin has published regularly in venues such as arXiv (Cornell University), The Treatise on The Plastic Media, IEEE Transactions on Mobile Computing, Scientific Reports, and IEEE Systems Journal.

Best Publications

  • Periodic resource model for compositional real-time guarantees

    Insik Shin;Insup Lee

  • Compositional real-time scheduling framework with periodic model

    Insik Shin;Insup Lee

  • Hierarchical Scheduling Framework for Virtual Clustering of Multiprocessors

    I. Shin;A. Easwaran;I. Lee

  • Compositional real-time scheduling framework

    Insik Shin;Insup Lee

  • SGX-Shield: Enabling Address Space Layout Randomization for SGX Programs.

    Jaebaek Seo;Byoungyoung Lee;Seong Min Kim;Ming-Wei Shih

  • Razzer: Finding Kernel Race Bugs through Fuzzing

    Dae R. Jeong;Kyungtae Kim;Basavesh Shivakumar;Byoungyoung Lee

  • SIRAP: a synchronization protocol for hierarchical resource sharingin real-time open systems

    Moris Behnam;Insik Shin;Thomas Nolte;Mikael Nolin

  • Mixed-criticality scheduling on multiprocessors

    Sanjoy Baruah;Bipasa Chattopadhyay;Haohan Li;Insik Shin

  • FlexDroid: Enforcing In-App Privilege Separation in Android

    Jaebaek Seo;Daehyeok Kim;Donghyun Cho;Insik Shin

  • Optimal virtual cluster-based multiprocessor scheduling

    Arvind Easwaran;Insik Shin;Insup Lee

  • Mobile code security by Java bytecode instrumentation

    A. Chander;J.C. Mitchell;I. Shin

  • HFL: Hybrid Fuzzing on the Linux Kernel.

    Kyungtae Kim;Dae R. Jeong;Chung Hwan Kim;Yeongjin Jang

  • Fair real-time traffic scheduling over a wireless LAN

    M. Adamou;S. Khanna;Insup Lee;Insik Shin

  • Rethinking Energy-Performance Trade-Off in Mobile Web Page Loading

    Duc Hoang Bui;Yunxin Liu;Hyosu Kim;Insik Shin

  • Towards hierarchical scheduling in VxWorks

    Moris Behnam;Thomas Nolte;Insik Shin;Mikael Åsberg

  • GreenBag: Energy-Efficient Bandwidth Aggregation for Real-Time Streaming in Heterogeneous Mobile Wireless Networks

    Duc Hoang Bui;Kilho Lee;Sangeun Oh;Insik Shin

  • Global EDF Schedulability Analysis for Synchronous Parallel Tasks on Multicore Platforms

    Hoon Sung Chwa;Jinkyu Lee;Kieu-My Phan;Arvind Easwaran

  • MC-Fluid: Fluid Model-Based Mixed-Criticality Scheduling on Multiprocessors

    Jaewoo Lee;Kieu-My Phan;Xiaozhe Gu;Jiyeon Lee

  • Incremental schedulability analysis of hierarchical real-time components

    Arvind Easwaran;Insik Shin;Oleg Sokolsky;Insup Lee

  • LaLaRAND: Flexible Layer-by-Layer CPU/GPU Scheduling for Real-Time DNN Tasks

    Woosung Kang;Kilho Lee;Jinkyu Lee;Insik Shin

  • RETHINKING ENERGYPERFORMANCE TRADE-OFF in Mobile Web Page Loading

    Duc Hoang Bui;Yunxin Liu;Hyosu Kim;Insik Shin

Frequent Co-Authors

Insup Lee
Insup Lee University of Pennsylvania
Junehwa Song
Junehwa Song Korea Advanced Institute of Science and Technology
Sang Lyul Min
Sang Lyul Min Seoul National University
Oleg Sokolsky
Oleg Sokolsky University of Pennsylvania
Sanjeev Khanna
Sanjeev Khanna University of Pennsylvania
Dong Wang
Dong Wang University of Notre Dame
Taesoo Kim
Taesoo Kim Georgia Institute of Technology
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Kwang-Hyun Cho
Kwang-Hyun Cho Korea Advanced Institute of Science and Technology
Feng Zhao
Feng Zhao Microsoft (United States)

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