Publications – International Journals
[23] Seongyeon Lim, Suh-Yeon Dong, Bach Xuan Tran, Laurent Boyer, Guillaume Fond, Masoud Rahmati, Nguyen Cao Duy, Carl Latkin, Huyen Do, Roger Ho, "Network-based alterations in task-induced functional connectivity in bipolar disorder: a functional near-infrared spectroscopy study," Journal of Affective Disorder, Vol. 389, 2025.11.
[22] Sangha Kim, Chaeyeon Yang, Suh-Yeon Dong, Seung-Hwan Lee, "Enhancing EEG-Based Prediction of PTSD Treatment Response Using Data Augmentation", Psychiatry Investigation, Vol. 22(8), pp. 914-920, 2025.08.
[21] Seongyeon Lim, Suh-Yeon Dong, Roger S McIntyre, Soon-kiat Chiang, Roger Ho, "Exploring Functional Connectivity in Attention Deficit/Hyperactivity Disorder: A Functional Near-infrared Spectroscopy Study with Machine Learning Analysis", IEEE Journal of Biomedical and Health Informatics, Early Access, 2025.04.
[20] Minyeong Hong, Suh-Yeon Dong, Roger S McIntyre, Soon-kiat Chiang, Roger Ho, "fNIRS Classification of Adults with ADHD Enhanced by Feature Selection", IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 33, pp. 220-231, 2024.12.
[19] Yerim Ji, Suh-Yeon Dong, "Multi-Task Learning by Leveraging Non-Contact Heart Rate for Robust Facial Emotion Recognition", IEEE Access, Vol. 12, pp. 92175-92180, 2024.06.
[18] Mary Nam, Suh-Yeon Dong, "Classification of Companion Animals’ Ocular Diseases: Domain Adversarial Learning for Imbalanced Data", IEEE Access, Vol. 11, pp. 143948-143955, 2023.12.
[17] Heewon Na, Suh-Yeon Dong, "Mixed-Reality-Based Human-Animal Interaction Can Relieve Mental Stress", Frontiers in Veterinary Science, Vol. 10, 2023.03.
[16] Soyeon Park, Bo-Kyeong Kim, and Suh-Yeon Dong. "Self-supervised RGB-NIR Fusion Video Vision Transformer Framework for RPPG Estimation." IEEE Trans. on Instrumentation & Measurement, Vol. 71, pp. 1-10, 2022.11.
[15] Yerim Ji, Suh-Yeon Dong, "Deep learning-based self-induced emotion recognition using EEG", Front. Neurosci. 16:985709. 2022.09.
[14] Sangha Kim, Chaeyeon Yang, Suh-Yeon Dong, Seung-Hwan Lee. "Predictions of tDCS Treatment Response in PTSD Patients using EEG Based Classification." Front. Psychiatry 13:876036, 2022.06.
[13] Heewon Na, Soyeon Park, Suh-Yeon Dong. "Mixed Reality-based Human-Animal Interaction for Mental Stress Management." Sensors, Vol. 22(3), 1159. 2022.02.
[12] Heewon Na, Juhye Yook, Suh-Yeon Dong. "Automatic Generation of Mathematical Graph Descriptions for Students with Visual Impairments." Special Issue (Big Data and Data Mining Strategies) in Journal of Nonlinear and Convex Analysis (JNCA), Vol. 22, No. 9, 1897-1912, 2021.10
[11] Suh-Yeon Dong, Jong-Kwan Choi, Yeonsoo Park, Seung Yeon Baik, Minjee Jeong, Yourim Kim, Seung-Hwan Lee. "Prefrontal Functional Connectivity during the Verbal Fluency Task in Patients with Major Depressive Disorder: An fNIRS Study." Front. Psychiatry 12:659814, 2021. 05.
[10] Soyeon Park, Suh-Yeon Dong. "Effects of Daily Stress in Mental State Classification" IEEE Access, Vol. 8, pp. 201360-201370, 2020. 11.
[9] Hongchae Baek, Anvar Sariev, Seul Lee, Suh-Yeon Dong, Sebastien Royer, Hyungmin Kim , "Deep Cerebellar Low-intensity Focused Ultrasound Stimulation Restores Interhemispheric Balance after Ischemic Stroke in Mice", IEEE Transactions on Neural Systems & Rehabilitation Engineering, Vol. 28 (9), pp. 2073-2079, 2020.09.
[8] Dami Jeong, Byung-Gyu Kim, Suh-Yeon Dong. "Deep Joint Spatio-Temporal Network for Efficient Facial Expression Recognition." Sensors, Vol. 20 (7), 1936, 2020.03.
[7] Hyun-Myung Cho, Heesu Park, *Suh-Yeon Dong, and *Inchan Youn. “Ambulatory and Laboratory Stress Detection Based on Raw Electrocardiogram Signals Using a Convolutional Neural Network." Sensors, Vol. 19(20), 4408, 2019. 10. *Co-corresponding
[6] †Eun-Soo Jung, †Suh-Yeon Dong, and Soo-Young Lee. “Neural Correlates of Variations in Human Trust in Human-like Machines during Non-reciprocal Interactions.” Scientific Reports, Vol. 9, 9975, 2019.07. †Co-first
[5] Miran Lee, Dajeong Park, *Suh-Yeon Dong, and *Inchan Youn. “A Novel R Peak Detection Method for Mobile Environment.” IEEE Access, Vol. 6, No. 1, 51227-51237, 2018. 12. *Co-corresponding
[4] †Heesu Park, †Suh-Yeon Dong, Miran Lee, and Inchan Youn. “The Role of Heart-Rate Variability Parameters in Activity Recognition and Energy-Expenditure Estimation Using Wearable Sensors.” Sensors, Vol. 17, No. 7, 1698, 2017.07. †Co-first
[3] Suh-Yeon Dong, Bo-Kyeong Kim, Soo-Young Lee. “EEG-based Classification of Implicit Intention during Self-Relevant Sentence Reading.” IEEE Transactions on Cybernetics, Vol. 46, No. 11, pp 2535-2542, 2016.11.
[2] Suh-Yeon Dong, Bo-Kyeong Kim, Soo-Young Lee. “Implicit Agreeing/Disagreeing Intention While Reading Self-Relevant Sentence: A Human fMRI Study.” Social Neuroscience, Vol. 11, No. 3, pp. 221-232, 2016.06.
[1] Bo-Kyeong Kim, Jihyeon Roh, Suh-Yeon Dong, Soo-Young Lee. “Hierarchical committee of deep convolutional neural networks for robust facial expression recognition.” Journal on Multimodal User Interfaces, Vol. 10, No. 2, pp. 173-189, 2016.06.
Publications – International Conferences (★awarded)
[29] Dabin Bae, Suh-Yeon Dong. "Toward EEG-Based Image Reconstruction- Leveraging Affective Stimuli to Enhance ERP Signals," 25th Annual Meeting of the Society for Neuroscience (SfN) Nov 15-19, 2025, San Diego, USA (poster presentation)
[28] Minyeong Hong, Suh-Yeon Dong. "Risk perception in automated driving: A prefrontal fNIRS pilot with mild physical disabilities," 25th Annual Meeting of the Society for Neuroscience (SfN) Nov 15-19, 2025, San Diego, USA (poster presentation)
[27] Dabin Bae, Suh-Yeon Dong. "Toward EEG-Based Image Reconstruction- Leveraging Affective Stimuli to Enhance ERP Signals," 12th Annual International Conference on Neural Engineering (NER) Nov 11-14, 2025, San Diego, USA (poster presentation)
[26] Minyeong Hong, Suh-Yeon Dong. "Risk Sensitivity in Automated Driving: A Prefrontal fNIRS Pilot Including Mild Disabilities," 12th Annual International Conference on Neural Engineering (NER) Nov 11-14, 2025, San Diego, USA (poster presentation)
[25] Seoyeon Lim, Suh-Yeon Dong. "Toward EEG-Based Image Reconstruction- Leveraging Affective Stimuli to Enhance ERP Signals," 12th Annual International Conference on Neural Engineering (NER) Nov 11-14, 2025, San Diego, USA (poster presentation)
[24] Eunji Won, Seongyeon Lim, Yeomin Kim, Sun-Yeon Dong, “Toward the TCN-based Real-Time BCI system for Target detection", 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'24), July 15-19, 2024, Orlando, USA (oral presentation)
[23] Seongyeon Lim, Suh-Yeon Dong. "Effect of the Stimulus Timing in the fNIRS-based BCI using a RSVP paradigm," 30th Annual Meeting of the Organization for Human Brain Mapping (OHBM2024) June 23-27, 2024, Seoul, Korea (accepted for poster presentation)
[22] Eunji Won, Seongyeon Lim, Yeomin Kim, Sun-Yeon Dong, “Real-Time BCI System for Target Detection”, 2024 12th International Winter Conference on Brain-Computer Interface (BCI), Feb. 26-28, 2024, Gangwon, Korea, Republic of (oral presentation)
[21] Seoyeon Lim, Suh-Yeon Dong. "Effects of Interaction with Virtual Pets on Self-Disclosure in Mixed Reality," 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Oct. 16-20, 2023, Sydney, Australia (oral presentation)
[20] Soojeong Cha, Eunji Won, Suh-Yeon Dong. "Real-time Drowsiness Detection System using EEG signals," 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'23) July 24-27, 2023, Sydney, Australia (poster presentation)
[19] Seongyeon Lim, Suh-Yeon Dong. "fNIRS-based Target Detection using Rapid Serial Visual Presentation," 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'23) July 24-27, 2023, Sydney, Australia (poster presentation)
[18] Sangha Kim, Chaeyeon Yang, Suh-Yeon Dong, Seung-Hwan Lee, "Deep Convolutional Neural Network based tDCS Prognosis Classification in PTSD Patients using EEG Spectrograms," 5th International Brain Stimulation Conference (BRST 2023) Feb. 18-22, 2023, Lisbon, Portugal (poster presentation)
[17] Soyeon Park, JongKwan Choi, Jong Jin Lee, Sangha Kim, Suh-Yeon Dong, "Effect of Baseline Stress on Mental Stress Relief by PBM using Near-Infrared Light," 5th International Brain Stimulation Conference (BRST 2023) Feb. 18-22, 2023, Lisbon, Portugal (poster presentation)
[16] Soyeon Park, JongKwan Choi, Jong Jin Lee, Suh-Yeon Dong, "The Effect of Photobiomodulation using Near-infraredSpectroscopy on Mental Stress Relief", 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM2022) June 19-23, 2022, Glasgow, Scotland (poster presentation)
[15] Heewon Na, Suh-Yeon Dong, "A Study on the Effects of Caffeine Intake on Brain Activation and Electrocardiography", 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM2022) June 19-23, 2022, Glasgow, Scotland (poster presentation)
[14] Soyeon Park, Juwon Yu, Sunhwa Kang, Hyeonju Lee, Suh-Yeon Dong, "Effect of Daily Stress on Heart-Rate Variability during Stroop Color Word Task", EMBC 2020, July 20-24, 2020, Montréal, Canada. (poster presentation)
[13] Suh-Yeon Dong, JongKwan Choi , Jiyeong Baek , Seung-Hwan Lee, "Prefrontal Functional Connectivity during Cognitive Tasks in Depression: An fNIRS Study", OHBM 2019, June 9-13, 2019, Rome, Italy (poster presentation)
[12] Hongchae Baek, Anvar Sariev, Suh-Yeon Dong, Sebastien Royer, Hyungmin Kim , "Deep cerebellar low-intensity focused ultrasound stimulation can normalize asymmetrical hemispheric delta power after the stroke", Brain Stimulation 2019, Feb 24-27, 2019, Vancouver, Canada (poster presentation)
[11] Suh-Yeon Dong, Miran Lee, Heesu Park, Inchan Youn, “Stress Resilience Measurement with Heart-Rate Variability during Mental and Physical Stress”, 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2018), July 17-21, 2018, Honolulu, USA (poster presentation)
[10] Bo-Kyeong Kim, Suh-Yeon Dong, Jihyeon Roh, Geonmin Kim, Soo-Young Lee, “Fusing Aligned and Non-Aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach”, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW2016), June 26-July 1, 2016, Las Vegas, USA
[9] Suh-Yeon Dong, Bo-Kyeong Kim, Kyeongho Lee, Soo-Young Lee, “An EEG Study on Human Trust in Machine”, 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM2016) June 26-30, 2016, Geneva, Switzerland (poster presentation)
[8] Suh-Yeon Dong, Bo Kyeong Kim, Kyeongho Lee, Soo-Young Lee, "A Preliminary Study on Human Trust Measurements by EEG for Human-Machine Interactions", 3rd International Conference on Human-Agent Interaction (HAI 2015), October 21-24, 2015, Daegu, Korea (poster presentation)
[7] Suh-Yeon Dong, Kyeongho Lee, Bo-Kyeong Kim, Soo-Young Lee, "A Preliminary Study on Human Trust Measurements by Brain Imaging for Human-Machine Interactions", 10th AEARU Workshop on Computer Science and Web Technology (AEARU-CSWT2015), February 25-27, 2015, Univ. of Tsukuba, Japan
[6] Suh-Yeon Dong, Bo-Kyeong Kim, Soo-Young Lee, "Decoding and Predicting Implicit Agreeing / Disagreeing Intention Based on Electroencephalography(EEG)", The 20th International Conference on Neural Information Processing (ICONIP2013), November 3-7, 2013, Daegu, Korea (Lecture Notes in Computer Science, Vol.8227, pp. 587-594, 2013)
[5] Suh-Yeon Dong, Soo-Young Lee, “Understanding Human Implicit Intention While Reading Self-relevant Sentences: An fMRI Study”, 19th Annual Meeting of the Organization for Human Brain Mapping (OHBM2013) June 16-20, 2013, Seattle, USA
[4] Wonil Chang, Suh-Yeon Dong, Soo-Young Lee, “Visual Perception of Circular Arcs and Straight Lines by Simple Interaction between Edge Pixels”, INCF Neuroinformatics 2012, September 10-12, 2012, Munich, Germany
[3] Bokyeong Kim, Suh-Yeon Dong, Hyun Ah Song and Soo-Young Lee, “Discriminant Feature Extraction Based on Nonnegative Matrix Factorization for BCI System”, 2012 IEEE World Congress on Computational Intelligence, June 10-15, 2012, Brisbane, Australia
★[2] Suh-Yeon Dong and Soo-Young Lee, “Understanding Human Implicit Intention Based on Frontal Electroencephalography (EEG)”, 2012 IEEE World Congress on Computational Intelligence, June 10-15, 2012, Brisbane, Australia (*Travel Grant Award)
★[1] Suh-Yeon Dong, Dae-Shik Kim, and Soo-Young Lee, “Understanding Human Implicit Intention based on EEG and Speech Signals”, INCF Neuroinformatics 2011, September 4-6, 2011, Boston, USA (*Travel Grant Award)
Publications – Domestic Journal
[7] 윤지나, 이효정, 이성혜, 박소영, 동서연, 심주용, "GPT-4기반 과학적 탐구 글쓰기 역량의 평가 자동화를 위한 언어 모델의 투명성과 시각화에 관한 연구", 로봇학회 논문지, Vol. 20, No. 2, 2025.06.
[6] 김상하, 남기쁨, 김시은, 동서연, "반려동물 질병 진단 보조를 위한 딥러닝 프레임워크", 멀티미디어학회논문지, Vol. 25, No. 12, 2022.12.
[5] 지예림, 임서연, 박소연, 김상하, 동서연, "딥러닝 기반의 모바일 얼굴 영상을 이용한 실시간 심박수 측정 시스템", 멀티미디어학회논문지, Vol. 24, No.11 ,2021.11.
[4] 나희원, 김정음, 동서연, "시각 장애 학생을 위한 수학 그래프 설명 자동 생성 기술", 한국HCI학회 논문지, Vol.16, No.1, 2021.03.
[3] 강선화, 이현주, 나희원, 동서연, "fNIRS 기반 실시간 집중력 모니터링 모바일 애플리케이션", 멀티미디어학회논문지, Vol.24, No.2, 2021.02.
[2] 박소연, 류서진, 동서연, "웹캠 기반 거북목 판별 알고리즘을 활용한 자세 교정 반응형 헬스케어 시스템", 멀티미디어학회논문지, Vol.24, No.2, 2021.02.
[1] 박주현, 이한나, 신지은, 동서연, 임순범, "저시력자를 위한 모바일 보이스 웹 브라우저 개발", 멀티미디어학회논문지, Vol. 23, No. 11, 2020.11.
Publications – Domestic Conferences (★awarded)
[10] 나희원, 동서연, "카페인 섭취가 뇌 활성화 및 심전도에 미치는 영향 연구" 2021 한국뇌공학회 여름Workshop, 2021.08. Online (Poster Presentation)
[9] 지예림, 동서연, "컨볼루션 신경망을 이용한 뇌파 기반 상상 감정 분류" 2021 한국뇌공학회 여름Workshop, 2021.08. Online (Poster Presentation)
[8] 나희원, 육주혜, 동서연, "Automatic Generation of Mathematical Graph Descriptions for Students with Visual Impairments." 2020 한국재활복지공학회 추계학술대회 International Session, 2020.11. Online (Oral Presentation)
[7] 강선화, 이현주, 동서연, "fNIRS 기반의 집중력 측정 애플리케이션 개발", 2019 한국멀티미디어학회 추계학술대회, 2019.11. 중앙대학교 (Poster Presentation)
★[6] 진민지, 한유진, 동서연, "시각장애인을 위한 이미지 음성 변환", 2019 한국멀티미디어학회 추계학술대회, 2019.11. 중앙대학교 (Poster Presentation; Best Paper Award)
★[5] 김정음, 오혜지, 동서연, "엠블케어: 스마트폰 카메라를 이용한 비침습적 헤모글로빈 측정 및 빈혈 위험도 계산에 관한 연구", 2019 한국멀티미디어학회 추계학술대회, 2019.11. 중앙대학교 (Poster Presentation; Best Paper Award)
★[4] 유주원, 박소연, 동서연, "일상 스트레스가 심박변이도에 미치는 영향", 2019 한국멀티미디어학회 춘계학술대회, 2019.05. 포항공과대학교 (Poster Presentation; Best Paper Award)
[3] 박희수, 동서연, 이미란, 윤인찬, “웨어러블 센서 기반의 Heart-Rate Variability 파라미터를 이용한 신체활동 분류 및 에너지 소모량 추정 방법”, 2017 대한생체역학회, 2017.08. 고려대학교 (Oral presentation)
★[2] 이미란, 동서연, 박희수, 윤인찬, “정신적/신체적 스트레스와 심박변이도(HRV)의 관계”, 2016 대한생체역학회, 2016.09. 동의대학교 (Oral presentation; Best Paper Award)
[1] 박희수, 동서연, 이미란, 윤인찬, “운동/생체 신호를 이용한 에너지 소모량 추정에 대한 연구”, 2016 대한생체역학회, 2016.09. 동의대학교 (Poster presentation)