Sung-Min Park, MD, PhD
Assistant ProfessorCards
About
Research
Publications
2026
Unidirectional dynamic stiffness modulation enables easily insertable and conformally attachable spinal bioelectronic device
Hong S, Pak S, Cho M, Ko M, Lee S, Kim H, Choo M, Kang W, Mun H, Park J, Ahn Y, Park S. Unidirectional dynamic stiffness modulation enables easily insertable and conformally attachable spinal bioelectronic device. Npj Flexible Electronics 2026 DOI: 10.1038/s41528-026-00557-1.Peer-Reviewed Original ResearchDynamic stiffness enhancementStable electrical propertiesStiffness enhancementNeural interface technologyBiomechanical compatibilityStiffness modulationElectrical propertiesNeural interfacesBioelectronic devicesNerve interfacesHumid environmentConductorInterface technologyDevicesInterfaceBucklingReal world applicationsBioelectronicsInvasive implantsExcessive flexibilityUniversal cryogenic transfer of liquid metal particles in polymers for wafer-scale stretchable integrated electronics
Lee D, Lee S, Park M, Kim J, Jin H, Kim S, Lee D, Lim Y, Yang J, Lee T, Oh B, Sun S, Kim D, Wang S, Im S, Kim H, Park S, Kim J, Choi Y, Park S. Universal cryogenic transfer of liquid metal particles in polymers for wafer-scale stretchable integrated electronics. Nature Communications 2026 PMID: 41748601, DOI: 10.1038/s41467-026-70101-2.Peer-Reviewed Original ResearchStretchable electronicsLiquid metalLM particlesLarge-area fabricationGallium-based liquid metalLift-off processLiquid metal particlesInterfacial bondingPolymer substratesPoor wettabilityIntegrated electronicsEmbedded polymersPatterning techniqueMetal particlesPolymerCryogenic environmentAdvanced applicationsElectrical conductivityCryogenic transferMetallic conductivityImplantable devicesElectronic systemsFabricationSurface tensionWearable sensorsPointcaré plot-based on-device CGM prediction model and its personalization for smart insulin pump: A step towards autonomous diabetes management
Lee J, Rachim V, Park S. Pointcaré plot-based on-device CGM prediction model and its personalization for smart insulin pump: A step towards autonomous diabetes management. Biomedical Signal Processing And Control 2026, 112: 108589. DOI: 10.1016/j.bspc.2025.108589.Peer-Reviewed Original ResearchDeep learningAdvancement of deep learningGlucose prediction algorithmComplexity of algorithmsTime series sequencesPrediction algorithmOn-deviceFeature extractionIntermediary devicesMobile phonesDL-basedComputational demandsFine-tuningExternal devicesAlgorithmFlash memoryPrediction modelPersonality modelManagement technologiesInsulin pump systemEfficient modelCommunication issuesPrediction methodSystem reliabilityPersonality processesCell‐Stress‐Free Percutaneous Bioelectrodes (Adv. Mater. 5/2026)
Lee J, Yun G, Jeon J, Le P, Hwang T, Park J, Baek J, Kim S, Lee H, Kwon K, Kim J, Lim H, Kim C, Park S, Lim G. Cell‐Stress‐Free Percutaneous Bioelectrodes (Adv. Mater. 5/2026). Advanced Materials 2026, 38 DOI: 10.1002/adma.72024.Peer-Reviewed Original ResearchSoft Multiaxial Strain Mapping Interface with AI-Driven Decoding for Silent Speech in Noise
Hong S, Yoo J, Park S. Soft Multiaxial Strain Mapping Interface with AI-Driven Decoding for Silent Speech in Noise. Cyborg And Bionic Systems 2026, 7: 0536. PMID: 41877703, PMCID: PMC13006734, DOI: 10.34133/cbsystems.0536.Peer-Reviewed Original ResearchSilent speech interfaceText-to-speech modelAdaptive signal processingSpeech interfaceNoisy scenariosInterface designHigh scalabilityWearable sensorsInference resultsNoisy environmentsAlgorithmic featuresMap interfaceInference pipelineTemporal attentionSpeaker's voiceTraditional microphonesNoise conditionsSilent speechSignal processingSoft silicone substrateMuscle movementOptical strainSilicon substrateSensorStrain maps
2025
Real-Time Rodent Pupillometry on an Embedded Platform for Neuromodulation
Hong S, Cho M, Park S. Real-Time Rodent Pupillometry on an Embedded Platform for Neuromodulation. IEEE Transactions On Neural Systems And Rehabilitation Engineering 2025, 34: 205-214. PMID: 41385412, DOI: 10.1109/tnsre.2025.3643813.Peer-Reviewed Original ResearchConceptsComputational demandsEmbedded platformGPU accelerationArtifact suppressionHigh-resolution imagesRobust performanceEffective evaluationVagus nerve stimulationDetection rateInfrared illuminationPlatformGPURGBLow costAlgorithmSystemPupillometry systemNeuromodulation researchLong-Evans ratsDynamic changesTrackingArtifactsGeneralized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality
Hwang M, Rachim V, Yoo J, Lee Y, Park S. Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality. Npj Digital Medicine 2025, 8: 612. PMID: 41102316, PMCID: PMC12531325, DOI: 10.1038/s41746-025-01994-4.Peer-Reviewed Original ResearchMulti-task learning frameworkMulti-task learningElastic weight consolidationCross-domain generalizationContinuous predictionMean square errorSim2real transferLearning frameworkPublic datasetsPrediction of glucose levelsEvent classificationReal-world validitySafety layerGlucose forecastingAid systemSimulated datasetsDatasetRoot mean square errorHypoglycemia detectionFrameworkScalabilityNeuroprosthetic closed-loop strategy for sustained blood pressure reduction via simultaneous stimulation and recording from the spinal cord
Cho M, Choo M, Koh M, Hong S, Mun J, Koo J, Oh C, Park S. Neuroprosthetic closed-loop strategy for sustained blood pressure reduction via simultaneous stimulation and recording from the spinal cord. Neurotherapeutics 2025, 22: e00758. PMID: 41033924, PMCID: PMC12664564, DOI: 10.1016/j.neurot.2025.e00758.Peer-Reviewed Original ResearchConceptsSustained blood pressure reductionBlood pressure reductionSpinal cordTransient antihypertensive effectPressure reductionSpinal cord stimulationHypertensive rat modelFrequency-dependent reductionNeuromodulation-based therapiesSecondary hypertensionTherapeutic optionsSympathetic hyperactivityCord stimulationAntihypertensive effectSympathetic regulationRat modelBlood pressureCL stimulationStimulationHypertensionActive investigationSimultaneous stimulationCordBloodNeural activityCell‐Stress‐Free Percutaneous Bioelectrodes
Lee J, Yun G, Jeon J, Le P, Hwang T, Park J, Baek J, Kim S, Lee H, Kwon K, Kim J, Lim H, Kim C, Park S, Lim G. Cell‐Stress‐Free Percutaneous Bioelectrodes. Advanced Materials 2025, 38: e09719. PMID: 40923519, PMCID: PMC12822530, DOI: 10.1002/adma.202509719.Peer-Reviewed Original ResearchEnhanced Post-Prandial Glycemic Response Prediction in Type 2 Diabetes with Microbiome Data and Deep Learning
Jeong K, Moon S, Rachim V, Song Y, Cho Y, Park S. Enhanced Post-Prandial Glycemic Response Prediction in Type 2 Diabetes with Microbiome Data and Deep Learning. IEEE Journal Of Biomedical And Health Informatics 2025, 30: 643-654. PMID: 40864582, DOI: 10.1109/jbhi.2025.3602827.Peer-Reviewed Original Research
Academic Achievements & Community Involvement
Clinical Care
Overview
Sung-Min Park, MD, PhD, is a neurologist who specializes in diagnosing and treating disorders affecting the brain, spinal cord, and nerves. He focuses particularly on conditions such as headaches and general neurological issues. His comprehensive care includes evaluating symptoms, conducting neurological tests, and formulating treatment plans.
An assistant professor at Yale School of Medicine, Dr. Park earned his medical degree and a doctoral degree from the Albert Einstein College of Medicine, followed by an internship at NYU Langone Medical Center and a residency in neurology, as well as fellowships in neuro-rehabilitation and clinical neurophysiology, at UCLA Health.
Clinical Specialties
Neurology
Fact Sheets
Dizziness
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