Academic CV

Academic curriculum vitae

Joonsu Ryu, Ph.D.

Assistant Professor Computer Engineering

Biography

Joonsu Ryu is an Assistant Professor (tenure-track) in the Division of Computer Engineering at Korea Cyber University. His research focuses on secure and intelligent wireless networking, including data-driven routing, reinforcement learning, game theory, and trust-based security for decentralized wireless systems. He received a B.S. with a double major in Mathematics and Computer Science & Engineering and a Ph.D. in Computer Science & Engineering, both from Sogang University. Before joining Korea Cyber University, he taught computer science and related courses at Sungshin Women’s University, Hansung University, Chung-Ang University, Dongguk University, and Ewha Womans University.

Connect

Research conversations, teaching, and collaboration.

Website duvelix.github.io GitHub @duvelix Email jsryu26@koreacu.ac.kr Academic profile Google Scholar

Research focus

Building networks that remain intelligent under attack.

Secure & Intelligent Routing Wireless Network Security Reinforcement Learning Game Theory Trust & Reputation Systems

Appointment

Faculty appointment

Assistant Professor

Div. of Computer Engineering

Institution

Korea Cyber University

Visit division ↗
Appointment Sep.
2026

Effective September 2026

2026.09 — Present

Education

Doctor of Philosophy

Computer Science & Engineering

Sogang University

Dissertation
Defense Mechanisms against Routing Attacks in Wireless Networks using Reinforcement Learning and Game Theory View dissertation ↗
Advisor
Prof. Sungwook Kim Network Lab ↗

Bachelor of Science

Mathematics

Sogang University

Double major
Computer Science & Engineering

Publications

Journal articles

Published · 3
  1. ETRI JournalVol. 47no. 3pp. 559–571

    Mitigating Jamming Attacks in Underwater Sensor Networks Using an M-Qubed-Based Opportunistic Routing Protocol

    Joonsu Ryu and Sungwook Kim

    Joonsu Ryu and Sungwook Kim, “Mitigating Jamming Attacks in Underwater Sensor Networks Using an M-Qubed-Based Opportunistic Routing Protocol”, ETRI Journal, vol. 47, no. 3, pp. 559-571, 2025.

    Read paper
  2. IEEE AccessVol. 12pp. 16266–16275

    Trust System- and Multiple Verification Technique-based Method for Detecting Wormhole Attacks in MANETs

    Joonsu Ryu and Sungwook Kim

    Joonsu Ryu and Sungwook Kim, “Trust System- and Multiple Verification Technique-based Method for Detecting Wormhole Attacks in MANETs”, IEEE Access, vol. 12, pp. 16266-16275, 2024.

    Read paper
  3. IEEE AccessVol. 11pp. 47701–47711

    Reputation-Based Opportunistic Routing Protocol Using Q-Learning for MANET Attacked by Malicious Nodes

    Joonsu Ryu and Sungwook Kim

    Joonsu Ryu and Sungwook Kim, “Reputation-Based Opportunistic Routing Protocol Using Q-Learning for MANET Attacked by Malicious Nodes”, IEEE Access, vol. 11, pp. 47701-47711, 2023.

    Read paper

Conference papers

Proceedings · 5
  1. IEIE Conferencepp. 2038–2041Korean

    Detection of Wormhole Attacks in Mobile Ad-hoc Network Using Multi-Validation Techniques

    Joonsu Ryu and Sungwook Kim

    Joonsu Ryu and Sungwook Kim, “Detection of Wormhole Attacks in Mobile Ad-hoc Network Using Multi-Validation Techniques”, IEIE Conference, pp. 2038-2041, June 2023 (in Korean).

    Details
  2. IEIE Conferencepp. 744–746Korean

    Energy Level based D2D Routing Algorithm By using the Reinforcement Learning Approach

    Joonsu Ryu and Sungwook Kim

    Joonsu Ryu and Sungwook Kim, “Energy Level based D2D Routing Algorithm By using the Reinforcement Learning Approach”, IEIE Conference, pp. 744-746, June 2022 (in Korean).

    Details
  3. IEIE Conferencepp. 687–689Korean

    Multi-hop Routing Method based on Reinforcement Learning for Efficient Data Offloading

    Joonsu Ryu and Sungwook Kim

    Joonsu Ryu and Sungwook Kim, “Multi-hop Routing Method based on Reinforcement Learning for Efficient Data Offloading”, IEIE Conference, pp. 687-689, August 2020 (in Korean).

    Details
  4. IEIE Conferencepp. 1064–1065Korean

    Finding the Influential Node set Using Reinforcement Learning in Social Networks

    Joonsu Ryu and Sungwook Kim

    Joonsu Ryu and Sungwook Kim, “Finding the Influential Node set Using Reinforcement Learning in Social Networks”, IEIE Conference, pp. 1064-1065, June 2018 (in Korean).

    Details
  5. KIISE Conferencepp. 1200–1202Korean

    A Study on the Influential Maximization Problem on Real-Time Dynamic Social Networks

    Joonsu Ryu and Sungwook Kim

    Joonsu Ryu and Sungwook Kim, “A Study on the Influential Maximization Problem on Real-Time Dynamic Social Networks”, KIISE Conference, pp. 1200-1202, December 2017 (in Korean).

    Details

Teaching

Faculty teaching

From Sep. 2026

Lecturer appointments

2023 — 2026

Lecturer

Dongguk University

2024.09 — 2026.08

  • Discrete Mathematics
  • Object-Oriented Programming
  • Object-Oriented Programming
  • Programming Languages

Lecturer

Chung-Ang University

2024.09 — 2026.08

  • Basic Computer Programming; Algorithm
  • Programming Languages
  • Basic Computer Programming
  • Programming Languages; Programming

Lecturer

Sungshin Women's University

2023.09 — 2026.08

  • Computer System Administration; Java Programming
  • Computer System Administration
  • Python Programming for Scientists
  • Java Programming
  • Programming Languages

Teaching assistant & mentoring

2015 — 2023
Sogang University

Head Teaching Assistant, Sogang University

Dept. of Computer Science & Engineering

Led and managed a team of teaching assistants, coordinated grading, and oversaw student support.

Soongmoon High School

AI Program Mentor, Soongmoon High School

Student research mentoring

Mentored high-school students participating in an AI program and guided them in developing research plans based on their submitted project proposals.

Sogang University

Teaching Assistant, Sogang University

Dept. of Computer Science & Engineering

Assisted with grading assignments and exams and held office hours to answer student questions in C Programming, Data Structures, Design and Analysis of Algorithms, Computer Networks, and related courses.

Awards & Honors

2022

Paper distinction

LG Electronics Paper Award for Outstanding Research

Conference of the Institute of Electronics and Information Engineers (IEIE) · June 2022

2018

Paper distinction

Outstanding Paper Award

Conference of the Institute of Electronics and Information Engineers (IEIE) · June 2018

Languages

Korean

Native

English

Intermediate

Japanese

Intermediate