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I am broadly interested in software engineering, information security, data mining, and digital healthcare. In these days, I am studying methods of predictive analytics that are applicable to many domains such as healthcare and software engineering.  In the big data era, measuring complicated software systems and predicting their future behaviors are inevitable and essentially required to help people understand the systems and make a better decision in system operation and management. Here are my interesting research topics:

• Information security

• Software engineering

• ICT & healthcare convergence research

• Wearable device and sensor data fusion

• Life logging system design and statistics analysis

• Big data processing system architecture

• Data mining and machine learning

• Probabilistic risk estimation and simulation

• 2023-Present, Assistant Professor, Division of Computer Science and Engineering, Sun Moon University, South Korea

• 2017-2023, Assistant Professor, Department of Convergence Security Engineering, Sungshin Women's University, South Korea

• 2016-2017, Research Professor, Center for Autonomous and Adaptive Software, Korea University, South Korea

• 2014-2017, Project Leader, a Medical-ICT convergence project, Korea University, South Korea – “Brainwave data analysis and neurofeedback for relieving insomnia stress” [a]

• 2014-2017, Project Leader, a Medical-ICT convergence project, Korea University, South Korea, – “Data mining technology development of circadian rhythm pattern detection and control for managing bipolar disorder and insomnia” [b]

• 2014-2015, Project Manager, an university-industry(SAMSUNG) cooperation project, Korea University, South Korea – “Defect checklist recommendation by mining and customizing software repository data” [c]

• 2012-2013, Researcher, Embedded Software Engineering Lab, Korea University, South Korea – “Software quality prediction by analyzing developer’s coding style and behavioral patterns” [d]

• 2010-2011, Visiting Researcher, Hong Kong University of Science and Technology, Hong Kong – “Software defect prediction with developer’s interaction data in the IDE” [e]

• 2004-2009, Researcher, Embedded Software Engineering Lab, Korea University, South Korea – “Risk and damage estimation of information systems incidents” and “Virtual Security Training Lab (VSTL)”

• 1999-2000, Engineer, Neo information communication Inc., South Korea – “Server management and network infrastructure building”

• 2023~Present Sun Moon University

• 2016~2022 Sungshin Women's University

• 2013 Duksung Women’s University

• 2012 Seoul Women’s University

• 2012 Korea University

• 2022/7~2024/12, "Development of AI-based realtime early detection model and digital phenotype biomaker for mental disorder and unsafty codition", Mental Health R&D project, Korea Health Industry Development Institute

• 2019/09~2023/12, “Development of the Bio-ICT technology of circadian rhythm control for recurrence prevention and functional improvement in depression and bipolar disorder”, Mid-Career Researcher Program, the National Research Foundation of Korea (NRF)

• 2018/03~2019/02, “A study on sleep stage prediction algorithm for neurofeedback based on the portable EEG device”, Internal Research Fund, Sungshin University

• 2016/09~2017/02, “A study on deep learning process for mood state diagnosis using wearable devices”, Internal Research Fund, President of Medical Department, Anam Hospital, Korea University

• 2016~2017, “Development of sleep enhancement technology by neuro-modulation based on brainwave”, the Brain Research Program through the National Research Foundation of Korea (NRF) funded by Ministry of Science, ICT and Future Planning.

• 2014~2017, “Development of ICT convergent treatment technology and service with circadian rhythm control for mood disorders and sleep disorders”, Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI)

• 2014/06~2015/06, “Customized checklist recommendation for supporting code review systems with highlighting defect-prone codes”, SAMSUNG university-industry cooperation project

• 2012/06~2014/06, “A study on software metrics based on codes for quality prediction of embedded software”, SAMSUNG university-industry cooperation project

• 2012/05~2015/05, “A study on evaluation metric of developer and development process for software defect prediction”, National Research Foundation of Korea

• 2012/07~2017/06, “A research on situation-aware based self-adaptive software system modeling and monitoring technology”, National Research Foundation of Korea

• 2012/03~2012/10, “A research on unknown malware detection techniques”, National Security Research Institute

• 2008/08~2009/07, “Verification Technology of mission critical embedded software”, National Research Foundation of Korea

• 2008/03~2009/02, “A research on proactive detection of unknown new botnet and countermeasures”, Korea Information Security Agency

• 2008/06~2011/06, “Virtual security training lab for studying human(system user) vulnerability”, National Research Foundation of Korea

• 2007/05~2007/10, “A study on return-on-investment analysis models for countermeasure of information security threats”, National Security Research Institute

• 2006/03~2006/08, “Secure authentication and communication in ubiquitous computing environments”, National Research Foundation of Korea

• 2006/03~2006/10, “A survey on cyber security prediction models based on statistical approaches and their application”, National Security Research Institute

• 2005/04~2005/11, “A study on damage estimation and prevention models for threats to information communication infra structure”, National Security Research Institute

• 2004/07~2004/12, “Adaptive situation-aware middleware framework for ubiquitous computing”, National Research Foundation of Korea

• 2004/09~2005/03, “Security research on information sharing systems”, National Security Research Institute

• 2004/09~2004/12, “Intelligent RFID sensor networks with wired-wireless convergence”, Ministry of Trade, Industry and Energy

• 2004/04~2004/11, “Risk propagation analysis over critical information communication infra structure”, National Security Research Institute

• 2004/04~2004/12, “Automatic reconfiguration and control technology development of situation-aware ubiquitous networks”, Ministry of science and technology

• “[And 건강] 우울증·조울병 재발, 스마트폰 앱으로 막는다”, 국민일보, 2020.08.25

• “스마트폰앱, ‘우울증, 조울증 치료에 도움된다’ 효과 입증”, 이데일리, 2020.08.06

• Best of the Best Paper Award, Korea Information Processing Society, 2015 (paper title: “Measurement of degree of contents immersion with using the portable EEG device”)

• First Prize, UNIKAMP Pitching Competition for KOTRA Silicon Valley, 2014 (pitching title: “Portable Neurofeedback System for Helping Sleep Disorder”)

• The Best Paper Award, International Conference on Convergence and its Application (ICCA), 2013 (paper title: “Risk Prediction of Malicious Code-Infected Websites by Mining Vulnerability Features”)

• The Best Paper Award, Korean Institute of Information Scientists and Engineers, 2010 (paper title: “Markov Chain Model-Based Trainee Behavior Pattern Analysis for Assessment of Information Security Exercise Courses”)

• The Best Paper Award, Korea Conference on Software Engineering, 2006 (paper title: “Decision Making based on Analytic Hierarchy Process for Requirement Negotiation Models”)

• A certificate of commendation, Republic of Korea 6th Infantry Division, 1999

Programming Languages: Python, PHP, R, C, Java, etc.

ICT Certificates: Internal ISO/IEC 27001 Auditor Certificate (2017), Engineer Information Processing (2002), Linux Master (2003), Internet Information Retrieval (2003), Computer Utilization Ability (2003)

Completed Professional Training Programs:

• “Software reliability: model-based software testing”, Korea Software Engineering Society (2014.7)

• “Penetration test and analysis, and digital forensic”, Korea Information Security Education Center (2013. 12)

• “Web hacking defense”, Korea Information Security Education, (2013. 11)

• “Using DOORS for Requirement Management”, Telelogic, (2004)

1. Jun-Cheol Suh, Jung-Been Lee, Jeong-Dong Kim, Taek Lee, "Metamorphic Test-Based Robustness Evaluation of Object Detection Models in Safety Critical Systems", The Journal of Korean Institute of Communication and Information Sciences, Vol. 50, No. 7, pp. 995-1006, Jul. 2025

2. Mosalla Sophia, Akashi Kazunari, Alao Chunghwan, Jeong-Dong Kim, Taek Lee, Jung-Been Lee, "A Comprehensive Study of IoT-Enabled Smart Umbrella Rental System Using Mobile Application ", 50(5), pp. 835-846, May 2025

3. Ji Won Yeom, Jung Been Lee, Hyojin Kim, Soohyun Park, Chul-Hyun Cho, Leen Kim, Taek Lee, Heon-Jeong Lee, “Development and Validation of a Wearable-Based Monitoring System for Predicting Psychiatric Crises in Inpatients: Study Protocol”, Chronobiology in Medicine, 2025;7(1):40-44, https://doi.org/10.33069/cim.2025.0005, Mar. 28, 2025

4. Byeongsu Kim, Minsu Chae, Yihyun Kim, Seokjin Kong, Yeongmin Kim, Taewon Jung, Jaegwon Jeong, Soohyun Park, Chul-Hyun Cho, Ji Won Yeom, Taek Lee, Heon-Jeong Lee, Hwamin Lee, "Early Prediction of Depressive Episodes in Mood Disorders Using Circadian Rhythm Indicators and Deep Learning", 2024 IEEE International Conference on Bioinformatics and Biomedicine, December 3-6, 2024

5. Dongju Lim, Jaegwon Jeong, Yun Min Song, Chul-Hyun Cho, Ji Won Yeom, Taek Lee, Jung-Been Lee, Heon-Jeong Lee, Jae Kyoung Kim, "Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features", npj Digital Medicine, https://doi.org/10.1038/s41746-024-01333-z, 2024. 11. 

6. Ji Won Yeom, Yeaseul Yoon, Ju Yeon Seo, Chul-Hyun Cho, Taek Lee, Jung-Been Lee, Sehyun Jeon, Leen Kim, Heon-Jeong Lee, "Daily Self-Monitoring and Feedback of Circadian Rhythm Measures in Major Depression and Bipolar Disorder Using Wearable Devices and Smartphones-The Circadian Rhythm for Mood (CRM®) Trial Protocol: A Randomized Sham Controlled Double-Blind Trial", Psychiatry Investigation, 2024 Aug;21(8):918-924. doi: 10.30773/pi.2024.0133

7. Jun-Cheol Suh, Jung-Been Lee, Jeong-Dong Kim, Taek Lee, “A Cost-Effective Content-Based Recommendation Algorithm for Gourmet Food Preference”, Asia-pacific journal of convergent research interchange, Vol.10, No.5, pp. 219-230, May 31, 2024

8. Jun-Cheol Suh, Ga-On Cheon, Jung-Been Lee, Jeong-Dong Kim, Taek Lee, “Robustness Evaluation of Artificial Intelligent Software for Traffic Safety-Related Object Detection”, the 5th international conference on advanced information technology, April 24, 2024

9. Candra Zonyfar, Taek Lee, Jung-Been Lee, Jeong-Dong Kim, “Transfer Learning Models for Enhanced Prediction of Cracked Tires”, Journal of Platform Technology, Volume 11, No. 6, p13-20, Dec. 2023

10. Taek Lee, Heon-Jeong Lee, Jung-Been Lee, and Jeong-Dong Kim, “Ensemble Approach to Combining Episode Prediction Models Using Sequential Circadian Rhythm Sensor Data from Mental Health Patients”, Sensors, 23(20), 8544, 18 Oct., 2023

11. Candra Zonyfar, Taek Lee, Jung-Been Lee, Jeong-Dong Kim, “Pre-Trained Network-Based Transfer Learning for Prediction of Tire Crack”, International Conference on Technology and Innovation for Human Life, 29 June, 2023

12. Taek Lee, Heon-Jeong Lee, Jung-Been Lee, and Jeong-Dong Kim, “A Study on Hidden Markov Model-based Hypothesis Test for Episode Prediction of Mood Disorder Patients”, International Conference on Technology and Innovation for Human Life, 29 June, 2023

13. Heon-Jeong Lee, Chul-Hyun Cho, Taek Lee, Jaegwon Jeong, Ji Won Yeom, Sojeong Kim, Sehyun Jeon, Ju Yeon Seo, Eunsoo Moon, Ji Hyun Baek, Dong Yeon Park, Se Joo Kim, Tae Hyon Ha, Boseok Cha, Hee-Ju Kang, Yong-Min Ahn, Yujin Lee, Jung-Been Lee, Leen Kim, “Prediction of impending mood episode recurrence using real-time digital phenotypes in major depression and bipolar disorders in South Korea: a prospective nationwide cohort study”, Psychological Medicine, pp. 1-9, 23 Sep. 2022

14. Seunghwa Jeong, Ju Yeon Seo, Sehyun Jeon, Chul-Hyun Cho, Ji Won Yeom, Jaegwon Jeong, Jung-Been Lee, Taek Lee, and Heon-Jeong Lee, "Circadian rhythm of heart rate assessed by wearable devices tends to correlate with the circadian rhythm of salivary cortisol concentration in healthy young adults", Chronobiology in Medicine, Vol. 2(3), 28 Sep. 2020

15. Jung-Been Lee, Taek Lee, and Hoh Peter In, “Topic Modeling-based Warning Prioritization from Changesets of Software Repository”, Journal of Computer Science and Technology, Vol.35, Issue 6, p1-19, Nov. 2020

16. Chul-Hyun Cho, Taek Lee, Jung-Been Lee, Ju Yeon Seo, Hee-Jung Jee, Serhim Son, Hyonggin An, Leen Kim, and Heon-Jeong Lee, “Effectiveness of a Smartphone App With a Wearable Activity Tracker in Preventing the Recurrence of Mood Disorders: Prospective Case-Control Study”, JMIR Mental Health, Vol 7, No 8, DOI: 10.2196/21283, July 2020

17. Taek Lee, Chul-Hyun Cho, Woon Ryoung Kim, Joung Ho Moon, Soojin Kim, Dongho Geum, Hoh Peter In, and Heon-Jeong Lee, “Development of model based on clock gene expression of human hair follicle cells to estimate circadian time”, Chronobiology International: The Journal of Biological and Medical Rhythm Research, https://doi.org/10.1080/07420528.2020.1777150, 13 Jul 2020

18. Jung-Been Lee, Taek Lee, and Hoh Peter In, “Automatic Stop Word Generation for Mining Software Artifact using Topic Model with Pointwise Mutual Information”, IEICE TRANSACTIONS on Information and Systems, Vol.E102-D,No.9,pp.-,Sep. 2019

19. Chul-Hyun Cho, Taek Lee, Min-Gwan Kim, Hoh Peter In, Leen Kim, and Heon-Jeong Lee, “Mood prediction of patients with mood disorder by machine learning using passive digital phenotypes based on circadian rhythm: a prospective observational cohort study”, Journal of Medical Internet Research, Vol. 21, Issue 4, April 17, 2019 (https://doi.org/10.2196/11029)

20. Nam-Ho Keum, Taek Lee, Jung-Been Lee, and Hoh Peter In, “Measuring the Degree of Content Immersion in a Non-experimental Environment Using a Portable EEG Device”, Journal of Information Processing Systems, Vol.14, No.4, pp. 104901061, August 2018

21. Taek Lee and Hoh Peter In, “Levenshtein Distance-based Regularity Measurement of Circadian Rhythm Patterns”, Journal of Theoretical and Applied Information Technology, ISSN: 1992-8645, Vol.95, No. 18, 30th September 2017

22. Hyun-Ah Lee, Heon-Jeong Lee, Joung-Ho Moon, Taek Lee, Min-Gwan Kim, Hoh In, Chul-Hyun Cho, and Leen Kim, “Comparison of Wearable Activity Tracker with Actigraphy for Sleep Evaluation and Circadian Rest-Activity Rhythm Measurement in Health Young Adults”, Psychiatry Investigation, Mar. 6, 2017

23. Taek Lee and Hoh Peter In, "Anomaly Detection of Circadian Rhythms with a Fitness Tracker", The International Conference on Computing Convergence and Applications, Dec. 21, 2016

24. Taek Lee, Jaechang Nam, Donggyun Han, Sunghun Kim, and Hoh Peter In, “Developer Micro Interaction Metrics for Software Defect Prediction”, IEEE Transactions on Software Engineering, Volume: 42, Issue: 11, Pages: 1015 – 1035, DOI: 10.1109/TSE.2016.2550458, Nov. 1, 2016

25. Taek Lee, Jung-Been Lee, Hoh Peter In, “Effect Analysis of Coding Convention Violations on Readability of Post-Delivered Code”, IEICE Transactions on Information and Systems, Vol. E98-D No.7, July 2015

26. Chul-Hoon Byun, Chang-Kyun Jeon, Taek Lee, Hoh Peter In, “Self-adaptive testing to determine sample size for flash memory solutions”, KSII Transactions on Internet and Information Systems, accepted 2011

27. Taek Lee, Hoh Peter In, "An Adaptive Algorithm to Recommend Favorable Digital Music", International Journal of Multimedia and Ubiquitous Engineering Vol.8, No.6 (2013), pp.87-96

28. Taek Lee, Jung Been Lee, Hoh Peter In, "A Study of Different Coding Styles Affecting Code Readability", International Journal of Software Engineering and Its Applications, Vol.7, No.5 (2013), pp.413-422

29. Taek Lee, Dohoon Kim, Hyunchoel Jeong, Hoh Peter In, "Risk Prediction of Malicious Code-Infected Websites by Mining Vulnerability Features", International Journal of Security and Its Applications, Vol.8, No.1 (2014), pp.291-294

30. Taek Lee, Sungoh Jung, Dohoon Kim, Hoh Peter In, "Performance Prediction Model for Effective Human Resource Selection in Security Investment Planning", Asia Pacific International Conference on Information Science and Technology, July 04, 2012

31. Chang-Kyun Jeon, Neung-Heo Kim, Dong-Hyun Lee, Taek Lee, Hoh Peter In, “Stakeholder Conflict Resolution Model (s-CRM) based on Supervised Learning”, KSII Transactions on Internet and Information Systems, accepted August 07, 2012

32. Taek Lee, Jaechang Nam, DongGyun Han, Sunghun Kim, Hoh Peter In, " Micro Interaction Metrics for Defect Prediction ", ESEC/FSE '11, PP.311-321, September 2011

33. Dohoon Kim, Taek Lee, Jaewoo Kang, Hyuncheol Jeong, Hoh Peter In "Adaptive pattern mining model for early detection of botnet-propagation scale ", Security and Communication Networks, ISSN : 1939-0122, 2011/10

34. Taek Lee, Dohoon Kim, Hoh Peter In, " Risk-Based ROI Simulation Model for Assessment of Security Solution Effectiveness ", ICONI 2010, Vol 1, ISSN : 2093-0542 PP. 97-101, 2010/12/17

35. Myoungrak Lee, Taek Lee, Byungsik Yoon, Hyogon Kim, Hoh Peter In, "A Seamless Lawful Interception Architecture for Mobile Users in IEEE 802.16e Networks", Journal of communications and networks, Vol 11(6) 626-633, Dec 2009

36. Seungbin Kim, Taek Lee, Myoungrak Lee, Hoh Peter In, "Hash Chain Revitalization to Support Continuous Authentications in RFID Systems", APIS, Jan 2009

37. Dohoon Kim, Taek Lee, Hoh Peter In, Hyuncheol Jeong, "Botnet Damage Propagation Estimation Model", The 1st International Conference on Internet, 305-310, Dec 2009

38. Sungyong Shin, Taek Lee, Hoh Peter In, "Defending Battery Exhaustion Attacks on Mobile Systems", IEEE COMSAC '09, Vol 2 347-352, July 2009

39. Taek Lee, Dookwon Baik, Hoh Peter In, "Cost Benefit Analysis of Personal Software Process Training Program", CITWORKSHOPS '08, July 2008

40. Neunghoe Kim, Taek Lee, Dong-hyun Lee, Keun Lee, Hoh Peter In, "Customer Value-based HW/SW Partitioning Decision in Embedded Systems", SNPD 2008, 257-262, August 6-8, 2008

41. Taek Lee, Dohoon Kim, Hoh Peter In, "Maximizing Return on Security Safeguard Investment with Constraint Satisfaction", ISA '08, April 2009

42. Jiyong Park, Dohoon Kim, Taek Lee, Hoh Peter In, "Effective Service Decision Using Ambient-Based HHMM in Smart Home System", CIT 2007, 979-984, October 2007

43. Sang Won Lim, Taek Lee, Sangsoo Kim, Hoh Peter In, "The Value Gap Model: Value-Based Requirements Elicitation", CIT 2007, 885-890, October 2007

44. Do-Hoon Kim, Taek Lee, Sung-Oh David Jung, Hoh Peter In, Heejo Lee, "Cyber Threat Trend Analysis Model Using HMM", IAS 2007, 177-182, August 2007

45. Taek Lee, Jiyong Park, Hoh Peter In, "Effective Appliance Selection by Complementary Context Feeding in Smart Home System", SEUS 2007, 233-242, May 2007

46. Heeseo Chae, Taek Lee, Hoh Peter In, "Situation Aware RFID system: Evaluating abnormal behavior detecting approach", SEUS-WCCIA '06, April 2006

47. Taek Lee, Hoh Peter In, Eul-Gyu Im, Heejo Lee, "Cascade Damage Estimation Model for Internet Attacks", WISI 2006, 163-164, April 9, 2006

48. Yoon Jung Chung, In-Jung Kim, Namhoon Lee, Taek Lee, Hoh Peter In, "Security Risk Vector for Quantitative Asset Assessment", ICCSA (2) 2005, 274-283, May 9-12, 2005

49. Young-Gab Kim, Taek Lee, Hoh Peter In, Yoon Jung Chung, In-Jung Kim, Doo-Kwon Baik, "A Probabilistic Approach to Estimate the Damage Propagation of Cyber Attacks", ICISC 2005, 175-185, December 1-2, 2005

50. Hoh Peter In, Young-Gab Kim, Taek Lee, Chang-Joo Moon, Yoon-Jung Jung, In-Jung Kim, "A Security Risk Analysis Model for Information Systems", AsiaSim 2004, 505-513, October 4-6, 2004

1. 정윤식, 김정동, 이택, 이정빈, “가상 RTC기반 조도 수집 임베디드 디바이스 개발”, 2024 한국디지털콘텐츠학회 추계종합학술대회 및 대학생논문경진대회 발표 논문집, 2024.11.7-8

2. 고주원, 이동욱, 최준혁, 이헌정, 이택, “정신건강 측정 및 개선을 위한 스마트폰 센서 기반 디지털피노타이핑 연구”, 2024 한국인터넷정보학회 추계학술발표대회, 2024년10월24일-26일

3. 이동욱, 고주원, 최준혁, 이헌정, 이택, “효율적인 정신건강 관리를 위한 LLM기반 케어봇 에이전트 개발 연구”, 2024 한국인터넷정보학회 추계학술발표대회, 2024년10월24일-26일

4. 최준혁, 이동욱, 고주원, 이헌정, 이택, “비용효과적인 캐어 봇 학습데이터 확보를 위한 액티브 러닝 기법에 관한 연구”, 2024 한국인터넷정보학회 추계학술발표대회, 2024년10월24일-26일

5. 모살라 소피아, 아카시 카즈나리, 알라오 충환, 이택, 이정빈, “IoT 기반 우산 대여 시스템 개발에 관한 연구”, 2024 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2024년6월27일-6월29일

6. 남영빈, 배상인, 강원규, 이강재, 이택, 이정빈, “이미지 캡션 생성 모델을 활용한 동영상 자동 요약 플랫폼 개발”, 2024 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2024년6월27일-6월29일 

7. 박신영, 이정빈, 이택, 김정란, 양희원, 전소연, “Impact of caregiver burden on sleep patterns and circadian rest-activity pattern in spousal caregiver of cognitive impairment patients: A Fitbit-based study”, 2024년 대한노인정신의학회 춘계학술대회 및 연수교육, 2024년5월10일

8. 서준철, 이정빈, 김정동, 이택, “비용대비 효과적인 위스키 추천 알고리즘 제안 연구”, 한국융합기술연구학회 2024년 동계 국내학술대회, 2024년 2월21일~23일

9. 이택, “포터블 수면유도 뉴로피드백 시스템 구현을 위한 수면뇌파 상태 분류기 성능 평가”, 한국융합학회논문지, 9권 11호, 2018년11월28일[KCI]

10. 이정빈, 이택, 인호, “오픈소스 프로젝트의 토픽 모델링을 통한 잠재결함 분석 연구”, 2017년 한국정보처리학회 춘계학술발표대회 논문집 제24권 제1호, 2017. 04.

11. 이재연, 이택, 김민관, 인호, 이헌정, “뉴로피드백을 활용한 적응형 수면 가이드 시스템에 대한 모델링 및 구현”, 한국정보처리학회 2016년 춘계학술발표대회 논문집 제23권 제1호, p417-419, 2016. 04. 29

12. 금남호, 이택, 이정빈, 인호, “포터블 EEG를 활용한 콘텐츠 몰입도 평가”, 한국정보처리학회 추계학술발표대회, VOL 22 NO. 02 PP. 1681 ~ 1684, 2015. 10 [최우수논문상]

13. 이택, 이정빈, 인호, “프로그래밍 과정 복잡도 메트릭 설계”, 한국소프트웨어공학학술대회 KCSE, 17권 1호, p196-197, 1월29일, 2015

14. 이정빈, 이택, 인호, “소스파일 주제 기반 잠재결함 오탐 분석 기법”, 한국소프트웨어공학학술대회 KCSE, p190-191, 1월29일, 2015

15. 김민관, 이택, 인호, “코드리뷰 코멘트 분석을 통한 개발자 프로젝트 적응패턴 식별”, 한국소프트웨어공학학술대회 KCSE, p276-277, 1월29일, 2015

16. 조재형, 이택, 이정빈, 인호, “프로그래밍 학습자의 성취도 예측을 위한 개인 성향, MBTI, 분당 코딩 수 척도 비교 평가 연구”, 정보처리학회, VOL 22 NO. 01 PP. 0540 ~ 0543 2015. 04

17. 김민관, 이정빈, 이택, 이헌정, 인호, “뉴로피드백을 활용한 수면 유도 시스템”, 정보처리학회 VOL 20 NO. 02 PP. 1706 ~ 1708 2013. 11

18. 이택, 김도훈, 이명락, 인호, “정보보안 훈련 시스템의 성취도 평가를 위한 마코브 체인 모델 기반의 학습자 행위 패턴 분석”, 정보과학회논문지: 컴퓨팅의 실제 및 레터, 제 16 권 제 12 호, p1264-1268, 2010.12 [KCI]

19. 이택, 인호, "트래픽 관찰을 통한 인터넷 서비스 소비성향의 식별", 제32회 한국정보처리학회 추계학술대회 논문집, 제16권 2호 pp.449~450, 2009. 11

20. 김승빈, 이택, 이명락, 인호, "해시 체인 보안 취약성을 개선한 RFID 인증 프로토콜", 한국정보처리학회 2008년 추계학술대회 논문집, VOL. 15 NO. 02 pp. 1024~1027, 2008. 11

21. 채희서, 이택, 이동현, 인호, "중첩된 모델들을 통한 비정상 행동 예측 시스템 평가", 한국정보과학회 2006 한국컴퓨터종합학술대회 논문집, (A) pp. 304 ~ 306, 2006. 6

22. 임상원, 이택, 김도훈, 인호, "방대성과 복잡성에 대응하는 요구사항분석방법", 한국정보과학회 2006 한국컴퓨터종합학술대회 논문집, (C) pp. 187~189, 2006. 6

23. 김도훈, 이택, 인호, "상호 영향 계층분석방법을 통한 Win-Win 협의 모델", 한국정보과학회 2006 한국컴퓨터종합학술대회 논문집, (C) pp. 163~165, 2006. 6

24. 이택, 임정은, 인호, "유비쿼터스 환경에서 개인정보보호를 위한 오토노믹 컴퓨팅 아키텍쳐", 한국정보과학회 2004년도 봄 학술발표논문집, 제31권 제1호(A)pp. 274~276, 2004. 4

• Heon-Jeong Lee, Chul-Hyun Cho, Jung-Bin Lee, Byeong-Wook Lee, Hoh Peter In, Taek Lee, “Method and Apparatus for Sleep Induction Using Neurofeedback”, Korean Intellectual Property Office, Patent No. 10-2226640 (2021.03.05)

• Dong-Ho Geum, Jung-Ho Moon, Hoh Peter In, Chul-Hyun Cho, Taek Lee, Heon-Jeong Lee, “Method for circadian rhythm prediction”, Korean Intellectual Property Office, Patent No. 10-1947890 (2019.02.07)

• Heon-Jeong Lee, Chul-Hyun Cho, Jung-Bin Lee, Byeong-Wook Lee, Hoh Peter In, Taek Lee, “Method and Apparatus for Sleep Induction Using Neurofeedback”, Korean Intellectual Property Office, International PCT Application No. PCT/KR2018/012913 (2018.10.29)

• Taek Lee, Min-Gwan Kim, Hoh Peter In, Heon-Jeong Lee, Chul-Hyun Cho, “Apparatus and Method for Anomaly Detection of the Circadian Rhythm Monitored with Wearable Sensors”, Korean Intellectual Property Office, Application No. 10-2016-0102332 (2016.08.11)

• Heon-Jeong Lee, Hoh Peter In, Chul-Hyun Cho, Taek Lee, Min-Gwan Kim, “Circadian biological rhythm management system based on IT technology and method thereof”, Korean Intellectual Property Office, Patent No. 10-1628062 (2016.06.01)

• Hoh Peter In, Dohoon Kim, Taek Lee, “System for training information security and Method thereof”, Korean Intellectual Property Office, Patent No. 10-1293953 (2013.08.01)

• Hoh Peter In, Sungbeen Kim, Taek Lee, Myongrak Lee, Sungjoon Park, “Method and Apparatus for infinite authentication using a hash chain”, Korean Intellectual Property Office, Patent No. 10-1002022 (2010.12.10)