1/* ============================================================================ 2 * data.js â everything on the site lives here. Edit this file only. 3 * (Design: assets/style.css · Rendering: assets/app.js) 4 * 5 * Three rules 6 * 1) To add an item, copy a { ... } block, paste it, separate with a comma. 7 * 2) To hide an item, delete the block or prefix each line with // 8 * 3) Your own name is underlined automatically (see profile.meName). 9 * ========================================================================== */ 10 11window.SITE = { 12 13 /* ââ 1. Profile âââââââââââââââââââââââââââââââââââââââââââââââââââââââ */ 14 profile: { 15 name: 'Seungsu Kam', 16 meName: 'Kam, S.', // auto-highlighted in author lists 17 role: 'Ph.D. Candidate, Industrial Engineering â UNIST', 18 email: '[email protected]', 19 photo: 'figs/profile-web.jpg', 20 startYear: 2022, 21 22 // Hero band 23 heroLine: 'Learning from time that arrives <em class="serif-em">irregularly</em>.', 24 heroLead: 'I am a Ph.D. candidate at UNIST building continuous-time models for data that refuses to be evenly sampled â telescope observations that arrive whenever the weather allows, clinical records that appear whenever a patient does.', 25 26 // Banner photo straight under the menu bar. Set src:'' to hide it. 27 // caption / year are optional â leave them empty and no caption is drawn. 28 heroPhoto: { 29 src: 'figs/informs2025-web.jpg', 30 alt: 'Seungsu Kam presenting at the INFORMS Annual Meeting', 31 caption: '', 32 year: '' 33 }, 34 35 // About section 36 aboutTitle: 'Continuous-time methods, applied where the data is messiest.', 37 about: [ 38 'I am a Ph.D. candidate in Industrial Engineering at <strong>UNIST</strong>, advised by Professor <strong>Sungil Kim</strong>. My research sits at the intersection of <strong>neural differential equations</strong>, <strong>conditional density estimation</strong>, and <strong>survival analysis</strong>.', 39 'Most real measurement is irregular. Telescopes observe when the weather allows; patients visit when something feels wrong. Rather than forcing that data onto a fixed grid, I work with models defined at every instant â which turns out to matter for detecting the moment a galactic nucleus changes state, and for deciding a first hormone dose for a patient who has never been treated.', 40 'Right now my work centres on four threads: continuous-time modeling, time series foundation models, remaining useful life prediction, and survival analysis â and on what each of them can borrow from the others.' 41 ], 42 interests: [ 43 'Continuous-time Modeling', 44 'Time Series Foundation Models', 45 'Remaining Useful Life', 46 'Survival Analysis' 47 ], 48 49 // Small fact list printed under the portrait 50 facts: [ 51 { label: 'Affiliation', value: 'Department of Industrial Engineering, UNIST' }, 52 { label: 'Advisor', value: 'Prof. Sungil Kim' }, 53 { label: 'Based in', value: 'Ulsan, Republic of Korea' }, 54 { label: 'Working on', value: 'Continuous-time models for irregular data' } 55 ] 56 }, 57 58 /* ââ 2. Links (nav + footer + contact) ââââââââââââââââââââââââââââââââââ 59 * Leave href as '' and the link is skipped everywhere. 60 * -------------------------------------------------------------------- */ 61 links: { 62 scholar: 'https://scholar.google.com/citations?user=yP1DmawAAAAJ&hl=ko', 63 github: 'https://github.com/seungsukam', 64 linkedin: '', // â paste your LinkedIn profile URL here 65 cv: '' // â optional: e.g. 'files/cv.pdf' 66 }, 67 68 /* ââ 3. Collaborations ââââââââââââââââââââââââââââââââââââââââââââââââââ 69 * CURRENTLY HIDDEN â the section was removed from index.html. 70 * To bring it back, re-add this line to index.html: 71 * <section class="logo-wall" id="logoWall"></section> 72 * 73 * name : shown as a wordmark 74 * abbr : optional small tag rendered before the name (e.g. 'KAIST') 75 * logo : optional image path â e.g. 'figs/logos/kaist.svg'. 76 * If set, the image replaces the wordmark automatically. 77 * url : optional link 78 * -------------------------------------------------------------------- */ 79 collaborators: [ 80 { name: 'HD Hyundai', logo: '', url: '' }, 81 { name: 'LG Electronics', logo: '', url: '' }, 82 { name: 'Thyroscope', logo: '', url: '' }, 83 { name: 'Korea Astronomy and Space Science Institute', abbr: 'KA
83SI', logo: '', url: '' }, 84 { name: 'Yonsei University', logo: '', url: '' }, 85 { name: 'Pusan National University', logo: '', url: '' }, 86 { name: 'KAIST', logo: '', url: '' } 87 ], 88 89 // Heading above the Selected work cards. 90 // íë¡ì í¸ë¥¼ ì¶ê°í´ë ë¡ì§ ìëë¡ ê°ì를 ë£ì§ ìììµëë¤. 91 // ë¤ë¥¸ íë³´: 'Learning dynamics from astronomical, industrial, and clinical time series.' 92 // 'Astronomical, industrial, clinical â the same question in three domains.' 93 // 'Six problems where time is the hard part.' 94 workTitle: 'Learning dynamics from astronomical, industrial, and clinical data.', 95 96 /* ââ 4. Selected work âââââââââââââââââââââââââââââââââââââââââââââââââââ 97 * orb : 'mint' | 'peach' | 'lavender' | 'sky' | 'rose' atmospheric tint 98 * art : 'anomaly' | 'irregular' | 'survival' | 'dosing' | 'forecast' 99 * drawn illustration shown at the top of the card 100 * image: optional photo/figure path â if set, it replaces the drawing 101 * -------------------------------------------------------------------- */ 102 work: [ 103 { 104 title: 'Real-time anomaly detection in quasars', 105 text: 'A streaming detector for changing-state active galactic nuclei, built so that physical priors about accretion constrain what the model is allowed to call an anomaly.', 106 tags: ['Streaming', 'Physics-informed', 'Astronomy'], 107 orb: 'sky', 108 art: 'anomaly', 109 image: 'figs/work/anomaly-quasar.webp' 110 }, 111 { 112 title: 'Classifying irregular astronomical light curves', 113 text: 'Neural stochastic differential equations that read telescope observations at the times they actually happened â no interpolation, no resampling onto a grid.', 114 tags: ['Neural SDE', 'Irregular sampling', 'Classification'], 115 orb: 'lavender', 116 art: 'irregular', 117 image: 'figs/work/irregular-lightcurves.webp' 118 }, 119 { 120 title: 'Longitudinal survival under competing risks', 121 text: 'Survival models that keep updating as new measurements arrive, and stay calibrated when several outcomes compete for the same patient.', 122 tags: ['Survival analysis', 'Competing risks', 'Clinical'], 123 orb: 'mint', 124 art: 'survival', 125 image: 'figs/work/survival-competing-risks.webp' 126 }, 127 { 128 title: 'Time series foundation models', 129 text: 'Pre-training a single backbone across heterogeneous sensor and clinical series, then asking how much of that transfer survives when the sampling is irregular.', 130 tags: ['Foundation model', 'Pre-training', 'Transfer'], 131 orb: 'rose', 132 art: 'foundation', 133 image: 'figs/work/foundation-tsfm.webp' 134 }, 135 { 136 title: 'Remaining useful life prediction', 137 text: 'Degradation models that estimate how much life a machine has left from its condition-monitoring history, and say how confident that estimate is.', 138 tags: ['Prognostics', 'RUL', 'Industrial'], 139 orb: 'sky', 140 art: 'rul', 141 image: 'figs/work/rul-prognostics.webp' 142 }, 143 { 144 title: 'Personalized thyroid hormone dosing', 145 text: 'Deep survival models that recommend an initial dose for patients with thyroid hormone disorders, learned from treatment histories rather than fixed protocols.', 146 tags: ['Healthcare', 'Recommendation', 'Deep survival'], 147 orb: 'peach', 148 art: 'dosing', 149 image: 'figs/work/dosing-thyroid.webp' 150 } 151 ], 152 153 /* ââ 5. Publications â journal and conference kept separate âââââââââââââ 154 * links: [{ label:'arXiv', href:'https://â¦' }] â omit if none 155 * -------------------------------------------------------------------- */ 156 publications: { 157 // Empty groups are skipped automatically â add a journal paper here later. 158 journal: [], 159 160 conference: [ 161 { 162 year: '2025', 163 title: 'Modeling irregular astronomical time series with neural stochastic delay differential equations', 164 authors: 'Oh, Y.; Kam, S.; Lim, D.; Kim, S.', 165 venue: 'CIKM', 166 links: [ 167 { label: 'ACM DL', href: 'https://dl.acm.org/doi/10.1145/3746252.3760805' }, 168 { label: 'arXiv', href: 'https://arxiv.org/abs/2508.17521' } 169 ] 170 }, 171 { 172 year: '2025', 173 title: 'Comprehensive review of neural differential equations for time series anal
173ysis', 174 authors: 'Oh, Y.; Kam, S.; Lee, J.; Lim, D.; Kim, S.; Bui, A.', 175 venue: 'IJCAI', 176 kind: 'Survey Track', 177 links: [ 178 { label: 'IJCAI', href: 'https://www.ijcai.org/proceedings/2025/1179' }, 179 { label: 'arXiv', href: 'https://arxiv.org/abs/2502.09885' } 180 ] 181 } 182 ], 183 184 // ì¬ì¬ ì¤ â ì°ë ìì´ íìë©ëë¤ 185 underReview: [ 186 { 187 year: '', 188 title: 'ASTRA: Unsupervised fault localization via attention shift in time-series using iTransformer', 189 authors: 'Kam, S.; Kang, T.; Kim, S.', 190 venue: 'Under review' 191 }, 192 { 193 year: '', 194 title: 'EU-Surv: Event uncertainty-aware deep dynamic survival modeling for personalized risk prediction under competing risks', 195 authors: 'Kam, S.; Shin, K.; Yoo, W.; Kim, S.', 196 venue: 'Under review' 197 }, 198 { 199 year: '', 200 title: 'Machine learning method to detect changing states in quasar light curves. I. Online analysis of single-band light curves for stochastic changing states', 201 authors: 'Kam, S.; Shin, M.; Yoo, J.; Kim, S.', 202 venue: 'Under review' 203 } 204 ], 205 206 workshop: [ 207 { 208 year: '2024', 209 title: 'Neural Langevin-type stochastic differential equations for astronomical time series classification under irregular observations', 210 authors: 'Oh, Y.; Kam, S.; Lim, D.; Kim, S.', 211 venue: 'ICLR Workshop' 212 }, 213 { 214 year: '2024', 215 title: 'Enhancing astronomical time series classification with neural stochastic differential equations under irregular observations', 216 authors: 'Oh, Y.; Kam, S.; Lim, D.; Kim, S.', 217 venue: 'AAAI Workshop', 218 links: [{ label: 'Workshop', href: 'https://sites.google.com/vt.edu/kgml-bridge-aaai-24/#h.8bxu7wv3ha6t' }] 219 } 220 ] 221 }, 222 223 /* ââ 6. Talks & presentations âââââââââââââââââââââââââââââââââââââââââââ 224 * kind: 'Oral' | 'Poster' | 'Invited' | 'Seminar' (optional) 225 * -------------------------------------------------------------------- */ 226 227 talks: [ 228 { 229 year: '2026', 230 title: 'Deep learning framework for personalized antithyroid dose recommendation using dual survival models', 231 authors: 'Kam, S.; Shin, K.; Yoo, W.; Kim, S.', 232 venue: 'IISE Annual Conference & Expo', 233 kind: 'Oral' 234 }, 235 { 236 year: '2025', 237 title: 'Detecting temporal state changes in astronomical time series data using neural differential equations', 238 authors: 'Kam, S.; Oh, Y.; Shin, M.; Kim, S.', 239 venue: 'INFORMS Annual Meeting', 240 kind: 'Oral' 241 }, 242 { 243 year: '2025', 244 title: 'Unsupervised root-cause localization via feature-level attention shifts in iTransformer', 245 authors: 'Kam, S.; Kang, T.; Kim, S.', 246 venue: 'KIIE Fall Conference' 247 }, 248 { 249 year: '2025', 250 title: 'Personalized survival modeling with event layer in deep learning-based competing risk analysis', 251 authors: 'Kam, S.; Shin, K.; Yoo, W.; Kim, S.', 252 venue: 'KIIE Spring Conference' 253 }, 254 { 255 year: '2024', 256 title: 'Optimal and personalized dose determination for patients with thyroid hormone disorders using deep learning-based survival analysis', 257 authors: 'Kam, S.; Cho, J.; Shin, K.; Moon, J.; Kim, S.', 258 venue: 'IISE Annual Conference & Expo', 259 kind: 'Oral' 260 }, 261 { 262 year: '2024', 263 title: 'Advancing irregular time series classification in astronomy with neural stochastic differential equations', 264 authors: 'Oh, Y.; Kam, S.; Lim, D.; Kim, S.', 265 venue: 'INFORMS Workshop on Data Science', 266 kind: 'Oral', 267 links: [{ label: 'Workshop', href: 'https://sites.google.com/view/data-science-2024' }] 268 }, 269 { 270 year: '2024', 271 title: 'Addressing spatial gaps in XCO2 monitoring: a machine learning approach for South Korea', 272 authors: 'Cho, H.; Kam, S.; Jeon, B.; Lee, K.; Kim, S.',
273 venue: 'KIIE Fall Conference', 274 links: [{ label: 'Record', href: 'https://scholarworks.unist.ac.kr/handle/201301/86014' }] 275 }, 276 { 277 year: '2024', 278 title: 'Assessing user retention of connected home appliances: a survival analysis', 279 authors: 'Cho, H.; Kam, S.; Hur, C.; Kim, S.', 280 venue: 'KIIE Spring Conference', 281 links: [{ label: 'Record', href: 'https://scholarworks.unist.ac.kr/handle/201301/82924' }] 282 }, 283 { 284 year: '2023', 285 title: 'Optimal and personalized dose determination for patients with thyroid hormone disorders using deep learning-based survival analysis', 286 authors: 'Kam, S.; Cho, J.; Shin, K.; Moon, J.; Kim, S.', 287 venue: 'KIIE Fall Conference', 288 links: [{ label: 'DBpia', href: 'https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE11609748' }] 289 }, 290 { 291 year: '2023', 292 title: 'Real-time detection of changing-state active galactic nuclei using a deep learning approach', 293 authors: 'Kam, S.; Yoo, J.; Shin, M.; Kim, S.', 294 venue: 'KIIE Spring Conference', 295 links: [{ label: 'Record', href: 'https://scholarworks.unist.ac.kr/handle/201301/74710' }] 296 } 297 ], 298 299 /* ââ 7. Teaching ââââââââââââââââââââââââââââââââââââââââââââââââââââââ */ 300 teaching: [ 301 { 302 term: '2026', 303 course: 'Probability and Statistics for Safety and Risk Data', 304 role: 'Teaching Assistant', 305 org: '2026 · Novatus AI Graduate School', 306 note: '' 307 }, 308 { 309 term: '2024', 310 course: 'LG LDC PBL Course', 311 role: 'Teaching Assistant', 312 org: 'Summer 2024 · LG Learning & Development Center', 313 note: '' 314 }, 315 { 316 term: '2023', 317 course: 'Statistical Quality Management', 318 role: 'Teaching Assistant', 319 org: 'Spring 2023 · UNIST', 320 note: '' 321 } 322 // ,{ 323 // term: '2025', 324 // course: 'Course name', 325 // role: 'Teaching Assistant', 326 // org: 'Spring 2025 · UNIST', 327 // note: 'Ran lab sessions and graded assignments' 328 // } 329 ], 330 331 /* ââ 8. Education & awards ââââââââââââââââââââââââââââââââââââââââââââ */ 332 education: [ 333 { 334 year: '2022', 335 title: 'Ph.D. (Integrated M.S./Ph.D.), Industrial Engineering', 336 org: 'UNIST · 2022 â Present', 337 note: 'Advisor: Prof. Sungil Kim · Ph.D. Candidate since 2024' 338 }, 339 { 340 year: '2015', 341 title: 'B.S., Industrial Engineering', 342 org: 'Ajou University · 2015 â 2022' 343 } 344 ], 345 346 awards: [ 347 { 348 year: '2026', 349 title: 'Finalist, IISE QCRE Data Challenge Competition', 350 org: 'Team: Yoo, J.; Lee, Y.; Yu, D.; Kam, S.' 351 }, 352 { year: '2021', title: "Dean's List", org: 'College of Engineering, Ajou University' }, 353 { year: '2020', title: "Dean's List", org: 'College of Engineering, Ajou University' } 354 ], 355 356 /* ââ 9. Closing call-to-action ââââââââââââââââââââââââââââââââââââââââ */ 357 cta: { 358 title: 'Working on something with irregular data?', 359 text: 'I am always glad to talk about continuous-time models, survival analysis, or a dataset that will not sit still.' 360 } 361};
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