Experience

<Experience>

• 09.2022~Present, Assistant Professor at School of Computer Science and Engineering, Pusan National University, South Korea.

• 09.2018~08.2022, Assistant Professor at School of SW, Hallym University, South Korea.

  • 전공

    • SW융합대학 빅데이터전공 교과과정위원(2020~)

    • 정보과학대학 SW학부 빅데이터전공 교과과정위원(2022~)

  • SW중심대학사업

    • 오픈소스SW교육센터 센터장(2020.09.01~)

    • SW중심대학사업 성과관리위원회 위원 (2019.10.01~2021.12.31)

    • SW중심대학사업 자체평가관리위원회 (2019.10.01~2021.02.28)

    • SW중심대학사업 교과과정혁신위원회(2019.10.01~2021.12.31)

• 2014 - 2016, Research Assistant, Iowa State University, USA

• 2010.03 - 2013.04, Research Engineer, Software Testing and Certification Laboratory, Telecommunications Technology Association, South Korea

  • Developed a software quality evaluation model based on the international standards (ISO/IEC 9126, 25051) for ETL (Extract, Transform, and Load) and NAC (Network Access Control) solutions

  • Participated in software quality evaluation projects as a project leader, such as :

    • Final quality inspection of the software from Samsung SDS

    • Software quality evaluation of the software from major software companies (e.g., Microsoft, Adobe Systems, CA Technologies, Samsung, etc.) and more

  • Participated in software V&V (Verification & Validation) projects, such as:

    • AFC (Automated Fare Collection) system of Seoul transportation system,

    • On-line Lottery System and more

• 2008 - 2009, Research Assistant, Gwangju Institute of Science and Technology, South Korea

<Teaching Experience>

• 2022.09~, Assistant Prof at CSE, PNU, South Korea.

  • 학부 강의 교과목

    • 2022-2: 프로그래밍원리와실습, AI프로그래밍, 사물인터넷

    • 2023-1: 인터넷과웹기초, 데이터통신

    • 2023-2: 컴퓨터네트워크, 웹응용프로그래밍, AI프로그래밍

  • 대학원

    • 2023-1: 강화학습

• 08.2018~2022.08, Assistant Professor at School of SW, Hallym University, South Korea.

  • 학부 강의 교과목/Undergrad courses taught

    • (2022-1) 자료구조, 컴퓨터네트워크, 오디세이세미나2

    • (2021-2) 시스템프로그래밍, 클라우드컴퓨팅

    • (2021-1) 자료구조, 컴퓨터네트워크, 오디세이세미나2

    • (2020-2) 시스템프로그래밍 [System Programming], 클라우드컴퓨팅 [Cloud Computing], 캡스톤 디자인 [Capstone Design] 

    • (2020-1) 자료구조 [Data Structure], SW실전영어I [SW Practical English I], 캡스톤 디자인 [Capstone Design] (실내 위치추적, 자율주행)

    • (2019-2) 자료구조 [Data Structure], 시스템프로그래밍 [System Programming], 오픈소스개발도구 활용 [Open Source Software]

    • (2019-1) 컴퓨팅사고와문제해결 [Computational Thinking], SW실전영어I [SW Practical English I]

    • (2018-2) 클라우드컴퓨팅 [Cloud Computing], 시스템프로그래밍 [System Programming]

  • 대학원 강의 교과목/Grad courses taught

    • (2022-1) 강화학습

    • (2021-1, 2020-1) 고급전산학특강I [Advanced Topics in Computer Science I]: 강화학습 [Reinforcement Learning]

• Spring, 2018. Teaching Assistant, Iowa State University, USA

  • My responsibilities as a TA included leading three 2-hour lab sections and grading.

  • Course Info.: CPR E 381 Computer Organization and Assembly Level Programming

  • Lab. goal: To implement a pipelined MIPS using VHDL on ModelSim

  • Instructor: Dr. Henry Duwe

• Fall, 2017. Teaching Assistant, Iowa State University, USA

  • My responsibilities as a TA included leading three 2-hour lab sections and grading.

  • Course Info.: CPR E 381 Computer Organization and Assembly Level Programming

  • Lab. goal: To implement a pipelined MIPS using VHDL on ModelSim

  • Instructor: Dr. Akhilesh Tyagi

• Spring, 2017. Teaching Assistant, Iowa State University, USA

  • My responsibilities as a TA included leading three 2-hour lab sections and grading.

  • Course Info.: CPR E 489 Computer Networking and Data Communications

  • Lab. goal: To learn about networking tools and programming skills on Linux.

  • Instructor: Dr. Ahmed E. Kamal

• Fall, 2016. Teaching Assistant, Iowa State University, USA

  • My responsibilities as a TA included leading three 2-hour lab sections and grading.

  • Course Info.: CPR E 381 Computer Organization and Assembly Level Programming

  • Lab. goal: To implement a pipelined MIPS using VHDL on ModelSim

  • Instructor: Dr. Joseph Zambreno

• Spring, 2016. Teaching Assistant, Iowa State University, USA

  • My responsibilities as a TA included leading three 2-hour lab sections and grading.

  • Course Info.: CPR E 381 Computer Organization and Assembly Level Programming

  • Lab. goal: To implement a pipelined MIPS using VHDL on ModelSim

  • Instructor: Dr. Akhilesh Tyagi

• Fall, 2015. Teaching Assistant, Iowa State University, USA

  • My responsibilities as a TA included leading three 2-hour lab sections and grading.

  • Course Info.: CPR E 381 Computer Organization and Assembly Level Programming

  • Lab. goal: To implement a pipelined MIPS using VHDL on ModelSim

  • Instructor: Dr. Zhao Zhang

• Spring, 2015. Teaching Assistant, Iowa State University, USA

  • My responsibilities as a TA included leading a 2-hour lab section as well as grading.

  • Course Info: E E 285 Problem Solving Methods and Tools for Electrical Engineering.

  • Lab. goal: To learn basic programming skills with C and MATLAB

  • Instructor: Dr. Thomas Daniels

• Fall, 2014. Teaching Assistant, Iowa State University, USA

  • My responsibilities as a TA included leading three 2-hour lab sections and grading.

  • Course Info.: CPR E 381 Computer Organization and Assembly Level Programming

  • Lab. goal: To implement a pipelined MIPS using VHDL on ModelSim

  • Instructor: Dr. Akhilesh Tyagi

• 2011 – 2013, Instructor, Telecommunications Technology Association, South Korea

  • Taught “Software Performance Testing” course covering standards, fundamentals theories, and tools (e.g., HP LoadRunner, TeamQuest, etc.)

• 2006, Part-Time Assistant, KimYoung Private Institute, South Korea

  • Led 3 classes per week and graded homeworks.

  • Monitored facility on a regular basis.

<Undergraduate Project Experience @ Pusan National University, South Korea>

• Developed a network interface card (circuit board design with an ARM processor), a device driver program, and a networking application program on Linux operating system

• Developed an embedded device management system and applications with IEEE 802.11 (PDAs) and IEEE 802.15.4 (MICAz motes) networks

• Built a handover-able simulation environment of mobile WiMAX (IEEE 802.16e) on network simulator ns-2

• Developed an image processor with VHDL (Verilog Hardware Description Language) on FPGA (Field-Programmable Gate Array) board

<Graduate Project Experience @ Gwangju Institute of Science and Technology, South Korea>

• Implemented an RF signal strength measurement based indoor localization testbed for IEEE 802.15.4 networks with CC2420 and CC2430 motes

  • We modified the source code inside both CC2420 and CC2430 motes so that they can communicate with each other, and implemented a localization algorithm in Java. Also, we analyzed the effect of the beacon motes deployment on the accuracy of an indoor localization.

  • This work has been published in J-KICS (in Korean).

• Implemented an extensible sensor network testbed with a centralized monitoring and coordination (10 x 10 MICAz motes testbed with centralized monitor and control)

  • We setup a testbed with 100 MICAz motes and configured a centralized control system so that we can easily apply newly compiled images to the motes and retrieve event-logs from them.

<Graduate Class Project Experience @ Iowa State University, USA>

• Studied on an optimal Cooperative Re-transmission Scheme in Wireless Networks (F14)

  • We proposed an optimal relay selection scheme aiming at minimizing the expected transmission time and minimizing the energy consumption on wireless ad-hoc networks.

  • Multi-objective linear programming is used to model and optimize the network.

• Studied on a secure Cooperative Sensing in Cognitive Radio Networks (S15)

  • We proposed and implemented a secure cooperative sensing and decision-making procedure using the anomaly detection technique (in Machine Learning)

  • Gaussian model is used to detect outliers (attackers as well as any malfunctioning) and validate the effectiveness of the scheme under different attach distributions.

  • This work has been published in J-KICS.

• Implemented a movie recommender system with machine learning (S16)

  • We implemented a recommender system for movie with a collaborative filtering technique in Machine Learning.

  • We have used the 100K and 1M dataset given by GroupLense Research Project to test the recommender system.

• Studied on a transmission scheduling for clustered wireless sensor networks (S16)

  • We modeled the clustered wireless sensor network as a Markov Process to find some system characteristics.

  • Also, we proposed a way to configure the system so as to achieve certain goals, such as a standard error of the sensing report (arithmetic mean), mean delay between the two consecutive reporting from a cluster head, the mean number of data collected by a cluster head before making a report, etc.

• Studied a multi-stage stochastic approach for optimal resource allocation in C-RAN (F16)

  • We studied the optimal resource allocation for C-RAN where the users' association and their service demand are uncertain. The optimal cost which is expected to be paid by a service provider shows that the stochastic approach outperforms the expected value problem. We also performed a study on the solution stability and solution quality. 

• Studied on an enhanced power saving mechanism for 802.11ah (S17)

  • We proposed a dynamic membership change algorithm tailored for IEEE 802.11ah. The proposed method maximizes the sleeping intervals of sensor nodes on the network, and thus, minimizes the overall energy waste.

• and more.