Taek Lee, Kihoon Choi, Heon-Jeong Lee, "Smartphone-Based Digital Phenotyping for Identifying Elevated Depressive Symptom Levels Using Machine Learning", Applied Science, 16(15), 7457, July 2026, https://doi.org/10.3390/app16157457
Byeongsu Kim, Minsu Chae, Hyungjun Seo, Jaegwon Jeong, Soohyun Park, Inyong Jeong, Yihyun Kim, Yeongmin Kim, Taewon Jung, Taeyeong Lee, Chul-Hyun Cho, Ji Won Yeom, Taek Lee, Heon-Jeong Lee, Hwamin Lee, “Week-ahead prediction of depressive episodes using wearable-derived circadian biomarkers: A multicenter deep learning study with risk-based operating thresholds”, Journal of Affective Disorders, Volume 412, Nov. 2026, 122076, ISSN 0165-0327, https://doi.org/10.1016/j.jad.2026.122076
Gaon Cheon, Taek Lee, "Attribute-Guided Multi-Image Product Category Identification Using CLIP Representations", IJCSMC, Vol. 15, Issue. 5, pg.154 – 162, May 2026, https://doi.org/10.47760/ijcsmc.2026.v15i05.017
Mosalla Sophia, So Yeon Jeon, Jeong-Dong Kim, Taek Lee, Jung-Been Lee, “Wearable-Derived Physiological Features Associated with Caregiver Burden: A Fitbit-Based Observational Study Toward Remote Monitoring of Caregiver Health Risk”, Applied Science, Vol.6, Issue 11, pp5382, https://doi.org/10.3390/app16115382
Ji Won Yeom, Jaegwon Jeong, Eunsoo Moon, Young-Min Park, Moon-Soo Lee, Ho-Kyung Yoon, Cheolmin Shin, Yeaseul Yoon, Ju Yeon Seo, Sehyun Jeon, Mingee Choi, Chul-Hyun Cho, Hyonggin An, Taek Lee, Jung-Been Lee, Heon-Jeong Lee, “Circadian Rhythm Stabilization App to Prevent Mood Episode Recurrence in Patients With Mood Disorders: A Multicenter, Double-Blind, Sham-Controlled, Randomized Clinical Trial”, American Journal of Psychiatry, 23 June 2026, https://doi.org/10.1176/appi.ajp.20251008
Heesu Park, Gyuseok Kang, Taek Lee, "Match Outcome Prediction in FPS Games Reflecting Sequential Match Flow: Focusing on Valorant and the Seq2Seq LSTM Model", IJCSMC, Vol. 15, Issue. 2, pg.72 – 79, February 2026, https://doi.org/10.47760/ijcsmc.2026.v15i02.008
Dae Su Ha, Taek Lee, "Impact of Synthetic Review Filtering on the Per formance of Sentiment Analysis: A Category wise Analysis Using BERT+CRF", IJCSMC, Vol. 15, Issue. 2, pg.1 – 8, February 2026, https://doi.org/10.47760/ijcsmc.2026.v15i02.001
In Cheol Park, Taek Lee, “A Comparative Study of YOLO-Family Models for Driver Eye-State Detection under Mask and Glasses Wearing Conditions”, IJCSMC, Vol. 15, Issue. 1, pg.73 – 80, January 2026, https://doi.org/10.47760/ijcsmc.2026.v15i01.007
Seung Min Shin, Taek Lee, "Enhancing Depression Prediction via Entropy-Based Behavioral Irregularity and Feature Engineering on Smartphone Sensor Data", IJCSMC, Vol. 15, Issue. 1, pg.40 – 44, January 2026, https://doi.org/10.47760/ijcsmc.2026.v15i01.003
Iqra Tabassum, Ji Won Yeom, Soohyun Park, Heon-Jeong Lee, Jung-Been Lee, Jeong-Dong Kim, Taek Lee, “Unsupervised Anomaly Detection for Psychiatric Inpatients Using Wearable Sensor Data: A Real-Time Monitoring Framework for Clinical Risk Management”, The Journal of Korean Institute of Communications and Information Sciences, Jan. 2026
Jiho Choi, Taek Lee, Hoon Ko, "Evaluating Input Validation Techniques for SQL Injection Defense", International Journal of Environmental Sciences, Vol. 11 No. 8, Dec. 2025
Amalaman Ndoli Armand, Dae il Ngagaba Gogo, Taek Lee, Seungjae Lee, “Contribution of Sequential Features and Machine Learning Methods to Anticipate Glycemic Episodes”, International Journal of Computer Science and Mobile Computing, Volume 14 Issue 11, November 2025. https://doi.org/10.47760/ijcsmc.2025.v14i11.010
Shin Young Park, Jung Been Lee, Taek Lee, Ho Yeong Jeong, Sang Yoon Kim, So Yeon Jeon, “Relationship between caregiving burden and alterations in circadian rhythms among spousal caregivers of individuals with cognitive impairment”, BMC Geriatrics 25, 652 (2025). https://doi.org/10.1186/s12877-025-06316-7, 23 August 2025
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Seungbin Kim, Taek Lee, Myoungrak Lee, Hoh Peter In, "Hash Chain Revitalization to Support Continuous Authentications in RFID Systems", APIS, Jan 2009
Dohoon Kim, Taek Lee, Hoh Peter In, Hyuncheol Jeong, "Botnet Damage Propagation Estimation Model", The 1st International Conference on Internet, 305-310, Dec 2009
Sungyong Shin, Taek Lee, Hoh Peter In, "Defending Battery Exhaustion Attacks on Mobile Systems", IEEE COMSAC '09, Vol 2 347-352, July 2009
Taek Lee, Dookwon Baik, Hoh Peter In, "Cost Benefit Analysis of Personal Software Process Training Program", CITWORKSHOPS '08, July 2008
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
Taek Lee, Dohoon Kim, Hoh Peter In, "Maximizing Return on Security Safeguard Investment with Constraint Satisfaction", ISA '08, April 2009
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
Sang Won Lim, Taek Lee, Sangsoo Kim, Hoh Peter In, "The Value Gap Model: Value-Based Requirements Elicitation", CIT 2007, 885-890, October 2007
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
Taek Lee, Jiyong Park, Hoh Peter In, "Effective Appliance Selection by Complementary Context Feeding in Smart Home System", SEUS 2007, 233-242, May 2007
Heeseo Chae, Taek Lee, Hoh Peter In, "Situation Aware RFID system: Evaluating abnormal behavior detecting approach", SEUS-WCCIA '06, April 2006
Taek Lee, Hoh Peter In, Eul-Gyu Im, Heejo Lee, "Cascade Damage Estimation Model for Internet Attacks", WISI 2006, 163-164, April 9, 2006
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
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
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
은돌리 아르망 아말라만, 이정빈, 김정동, 이헌정, 이택, “기계학습 기반 모델을 활용한 양극성 장애 환자의 활력상태 예측 성능 비교 연구”, Asia-pacific Journal of Convergent Research Interchange, Vol.11, No.12, pp. 539-550, 12월31일 2025
박현철, 문태건, 박건희, 최영락, 이택, 김정동, 이정빈, “멀티모달 데이터와 머신러닝 기법을 활용한 유튜브 영상 조회수 예측 연구”, ACK 2025 학술발표대회, 32권2호, 2025
신승민, 신창영, 임성훈, 임지성, 이택, 김정동, 이정빈, “공개 데이터 기반 머신러닝 기법을 활용한 상권 매출 예측 모델 연구”, ACK 2025 학술발표대회, 32권2호, 2025
이진석, 이택, "iDress : 유아 및 아동을 위한 AI 기반 가상 피팅 및 옷장 관리 시스템", 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2025
박희수, 강규석, 이도헌, 서명교, 이택, "SNS 가짜계정 판별을 위한 범 플랫폼 머신러닝 모델 개발", 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2025
오원우, 이승범, 김재성, 이택, "LightFM 기반 사용자 맞춤형 추천 뉴스 요약 시스템", 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2025
김민지, 안은민, 황다연, 이유나, 이택, "OSQuery 기반의 윈도우 사용자 이상 행위 탐지 및 파일 무결성 감시 도구 개발", 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2025
정승혁, 김형경, 박우인, 주호진, 이택, "머신러닝 기반 천원의 아침밥 잔반 및 수요 예측 모델", 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2025
구민우, 김우성, 신인철, 키로스 로드리게스 존 알바로, 이택, "머신러닝을 이용한 흡연습관 기반의 고혈압 위험도 예측기", 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2025
김영진, 김태현, 이석진, 최동준, 이택, "위협모델링 기반 안전한 페달 오인 방지 시스템 설계 제안", 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2025
김호식, 황민우, 박찬희, 이은우, 이택, "스마트건물관리 시스템의 보안 취약점 분석 연구", 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2025
김석원, 서동하, 조진원, 송봉근, 이택, "제로 트러스트 기반 시그니처 모델을 이용한 문서형 악성코드 대응 시스템 설계", 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2025
권용민, 김효신, 백보현, 윤석주, 이택, "웨어러블 센서기반 생활습관 관찰을 통한 수면의 질 예측 모델 개발", 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2025
이창진, 이혜원, 박건희, 김세민, 이택, "OWASP-ZAP 기반 사용자 편의 취약점 진단 도구 개발", 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2025
서형준, 임호진, 안지성, 김정동, 이택, 이정빈, “리뷰 기반 상품 요약 및 이미지 생성 서비스 개발”, 2024 한국소프트웨어종합학술대회 논문집, 2024년12월18일~20일, 한국정보과학회
정윤식, 김정동, 이택, 이정빈, “가상 RTC기반 조도 수집 임베디드 디바이스 개발”, 2024 한국디지털콘텐츠학회 추계종합학술대회 및 대학생논문경진대회 발표 논문집, 2024.11.7-8
고주원, 이동욱, 최준혁, 이헌정, 이택, “정신건강 측정 및 개선을 위한 스마트폰 센서 기반 디지털피노타이핑 연구”, 2024 한국인터넷정보학회 추계학술발표대회, 2024년10월24일-26일
이동욱, 고주원, 최준혁, 이헌정, 이택, “효율적인 정신건강 관리를 위한 LLM기반 케어봇 에이전트 개발 연구”, 2024 한국인터넷정보학회 추계학술발표대회, 2024년10월24일-26일
최준혁, 이동욱, 고주원, 이헌정, 이택, “비용효과적인 캐어 봇 학습데이터 확보를 위한 액티브 러닝 기법에 관한 연구”, 2024 한국인터넷정보학회 추계학술발표대회, 2024년10월24일-26일
모살라 소피아, 아카시 카즈나리, 알라오 충환, 이택, 이정빈, “IoT 기반 우산 대여 시스템 개발에 관한 연구”, 2024 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2024년6월27일-6월29일
남영빈, 배상인, 강원규, 이강재, 이택, 이정빈, “이미지 캡션 생성 모델을 활용한 동영상 자동 요약 플랫폼 개발”, 2024 한국디지털콘텐츠학회 하계종합학술대회 및 대학생논문경진대회, 2024년6월27일-6월29일
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
서준철, 이정빈, 김정동, 이택, “비용대비 효과적인 위스키 추천 알고리즘 제안 연구”, 한국융합기술연구학회 2024년 동계 국내학술대회, 2024년 2월21일~23일
이택, “포터블 수면유도 뉴로피드백 시스템 구현을 위한 수면뇌파 상태 분류기 성능 평가”, 한국융합학회논문지, 9권 11호, 2018년11월28일[KCI]
이정빈, 이택, 인호, “오픈소스 프로젝트의 토픽 모델링을 통한 잠재결함 분석 연구”, 2017년 한국정보처리학회 춘계학술발표대회 논문집 제24권 제1호, 2017. 04.
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
금남호, 이택, 이정빈, 인호, “포터블 EEG를 활용한 콘텐츠 몰입도 평가”, 한국정보처리학회 추계학술발표대회, VOL 22 NO. 02 PP. 1681 ~ 1684, 2015. 10 [최우수논문상]
이택, 이정빈, 인호, “프로그래밍 과정 복잡도 메트릭 설계”, 한국소프트웨어공학학술대회 KCSE, 17권 1호, p196-197, 1월29일, 2015
이정빈, 이택, 인호, “소스파일 주제 기반 잠재결함 오탐 분석 기법”, 한국소프트웨어공학학술대회 KCSE, p190-191, 1월29일, 2015
김민관, 이택, 인호, “코드리뷰 코멘트 분석을 통한 개발자 프로젝트 적응패턴 식별”, 한국소프트웨어공학학술대회 KCSE, p276-277, 1월29일, 2015
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
김민관, 이정빈, 이택, 이헌정, 인호, “뉴로피드백을 활용한 수면 유도 시스템”, 정보처리학회 VOL 20 NO. 02 PP. 1706 ~ 1708 2013. 11
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]
이택, 인호, "트래픽 관찰을 통한 인터넷 서비스 소비성향의 식별", 제32회 한국정보처리학회 추계학술대회 논문집, 제16권 2호 pp.449~450, 2009. 11
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
채희서, 이택, 이동현, 인호, "중첩된 모델들을 통한 비정상 행동 예측 시스템 평가", 한국정보과학회 2006 한국컴퓨터종합학술대회 논문집, (A) pp. 304 ~ 306, 2006. 6
임상원, 이택, 김도훈, 인호, "방대성과 복잡성에 대응하는 요구사항분석방법", 한국정보과학회 2006 한국컴퓨터종합학술대회 논문집, (C) pp. 187~189, 2006. 6
김도훈, 이택, 인호, "상호 영향 계층분석방법을 통한 Win-Win 협의 모델", 한국정보과학회 2006 한국컴퓨터종합학술대회 논문집, (C) pp. 163~165, 2006. 6
이택, 임정은, 인호, "유비쿼터스 환경에서 개인정보보호를 위한 오토노믹 컴퓨팅 아키텍쳐", 한국정보과학회 2004년도 봄 학술발표논문집, 제31권 제1호(A)pp. 274~276, 2004. 4