World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6172
World Ranking
10714
National Ranking
122

Overview

Dongsu Han is affiliated with the Korea Advanced Institute of Science and Technology in South Korea and works primarily in the field of Computer Science. Their research spans multiple subfields including Computer Networks and Communications, Molecular Biology, Artificial Intelligence, Information Systems, and Signal Processing.

The scientist's work concentrates on several main topics:

  • Genomics and Phylogenetic Studies
  • Cloud Computing and Resource Management
  • Algorithms and Data Compression
  • Software-Defined Networks and 5G
  • Security and Verification in Computing
  • Advanced Malware Detection Techniques
  • Caching and Content Delivery

Throughout their career, Dongsu Han has published extensively, with notable papers including:

  • "BWA-MEME: BWA-MEM emulated with a machine learning approach," 2022, Bioinformatics
  • "Congestion Control for Cross-Datacenter Networks," 2022, IEEE/ACM Transactions on Networking
  • "BWA-MEME: BWA-MEM emulated with a machine learning approach," 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • "A Secure Middlebox Framework for Enabling Visibility Over Multiple Encryption Protocols," 2020, IEEE/ACM Transactions on Networking
  • "Graph Neural Network-Based SLO-Aware Proactive Resource Autoscaling Framework for Microservices," 2024, IEEE/ACM Transactions on Networking

The scientist frequently collaborates with other researchers, including Youngmok Jung, Jinwoo Park, Byung-Kwon Choi, Juhyeng Han, and Seongmin Kim.

Dongsu Han's work is often published in well-known venues, primarily:

  • IEEE/ACM Transactions on Networking
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • KIISE Transactions on Computing Practices
  • Crisis and Emergency Management Theory and Praxis

Best Publications

  • ATLAS: A scalable and high-performance scheduling algorithm for multiple memory controllers

    Yoongu Kim;Dongsu Han;Onur Mutlu;Mor Harchol-Balter

  • MICA: a holistic approach to fast in-memory key-value storage

    Hyeontaek Lim;Dongsu Han;David G. Andersen;Michael Kaminsky

  • mTCP: a highly scalable user-level TCP stack for multicore systems

    Eun Young Jeong;Shinae Woo;Muhammad Jamshed;Haewon Jeong

  • Information-agnostic flow scheduling for commodity data centers

    Wei Bai;Li Chen;Kai Chen;Dongsu Han

  • BWA-MEME: BWA-MEM emulated with a machine learning approach

    Unknown

  • Credit-Scheduled Delay-Bounded Congestion Control for Datacenters

    Inho Cho;Keon Jang;Dongsu Han

  • XIA: efficient support for evolvable internetworking

    Dongsu Han;Ashok Anand;Fahad Dogar;Boyan Li

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

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

  • SoftNIC: A Software NIC to Augment Hardware

    Sangjin Han;Keon Jang;Aurojit Panda;Shoumik Palkar

  • Guaranteeing Deadlines for Inter-Data Center Transfers

    Hong Zhang;Kai Chen;Wei Bai;Dongsu Han

  • XIA: an architecture for an evolvable and trustworthy internet

    Ashok Anand;Fahad Dogar;Dongsu Han;Boyan Li

  • Guaranteeing deadlines for inter-datacenter transfers

    Hong Zhang;Kai Chen;Wei Bai;Dongsu Han

  • Access Point Localization Using Local Signal Strength Gradient

    Dongsu Han;David G. Andersen;Michael Kaminsky;Konstantina Papagiannaki

  • Practical, Real-time Centralized Control for CDN-based Live Video Delivery

    Matthew K. Mukerjee;David Naylor;Junchen Jiang;Dongsu Han

  • OpenSGX: An Open Platform for SGX Research

    Prerit Jain;Soham Desai;Seong Min Kim;Ming Wei Shih

  • Neural-Enhanced Live Streaming: Improving Live Video Ingest via Online Learning

    Jaehong Kim;Youngmok Jung;Hyunho Yeo;Juncheol Ye

  • Neural adaptive content-aware internet video delivery

    Hyunho Yeo;Youngmok Jung;Jaehong Kim;Jinwoo Shin

  • NEMO: enabling neural-enhanced video streaming on commodity mobile devices

    Hyunho Yeo;Chan Ju Chong;Youngmok Jung;Juncheol Ye

  • Accurate latency-based congestion feedback for datacenters

    Changhyun Lee;Chunjong Park;Keon Jang;Sue Moon

  • PIAS: Practical Information-Agnostic Flow Scheduling for Commodity Data Centers

    Wei Bai;Li Chen;Kai Chen;Dongsu Han

  • Cybercriminal Minds: An investigative study of cryptocurrency abuses in the Dark Web.

    Seunghyeon Lee;Changhoon Yoon;Heedo Kang;Yeonkeun Kim

  • A First Step Towards Leveraging Commodity Trusted Execution Environments for Network Applications

    Seongmin Kim;Youjung Shin;Jaehyung Ha;Taesoo Kim

  • BWA-MEME: BWA-MEM emulated with a machine learning approach

    Youngmok Jung;Dongsu Han

Frequent Co-Authors

Srinivasan Seshan
Srinivasan Seshan Carnegie Mellon University
David G. Andersen
David G. Andersen Carnegie Mellon University
Kai Chen
Kai Chen Hong Kong University of Science and Technology
Taesoo Kim
Taesoo Kim Georgia Institute of Technology
Michael Kaminsky
Michael Kaminsky Carnegie Mellon University
Hong Xu
Hong Xu City University of Hong Kong
Aditya Akella
Aditya Akella The University of Texas at Austin
Hao Wang
Hao Wang Tianjin University
Yongdae Kim
Yongdae Kim Korea Advanced Institute of Science and Technology
Jinwoo Shin
Jinwoo Shin Korea Advanced Institute of Science and Technology

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