Hyunyeol Lee, Ph.D.

PhD   Department of Brain and Cognitive Engineering, Korea University, Republic of Korea, 2015 (Advisor: Dr. Jaeseok Park)

MS     Department of Medical Science, Yonsei University, Republic of Korea, 2011 (Advisors: Dr. Jaeseok Park/Dr. Jin-Suck Suh)

BS      Department of Biomedical Engineering/Electronic Engineering (Dual-Major), Kyung Hee University, Republic of Korea, 2009

• 2022.03 - Present

Adjunct Assistant Professor, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States

• 2021.03 - Present

Assistant Professor, School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea

• 2019.01 - 2021.02

Research Associate (Staff Scientist), Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States 

• 2016.01 - 2018.12 

Postdoctoral Researcher, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States

• 2015.03 - 2015.12

Postdoctoral Researcher, Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Sungkyunkwan University, Suwon, Republic of Korea 

• 2014.03

Industry Internship, Imaging & Therapy Systems Division, Department MR Application ONCOLOGY, Siemens, Erlangen, Germany

• Grant Award: 대한자기공명의과학회(KSMRM) 학술연구지원 사업; 12/2023 - 11/2024; 과제명: Brain CT 기반 MRI 합성 영상을 활용한 뇌 위축 정량화.

• ICMRI (International Congress on Magnetic Resonance Imaging) Contribution Award, Nov. 2023

• Distinguished Reviewer; Awarded by the Journal "Magnetic Resonance in Medicine", 2023.

• Grant Award: 동일문화산업재단 학술연구비 조성사업; 02/2022 - 01/2023; 과제명: MRI 영상 기반 뇌혈류량 자동 정밀 측정을 위한 심층학습 기술 개발; 역할: 연구책임자

• Grant Award: 한국지능정보사회진흥원 인공지능 데이터 구축 사업; 06/2022 - 12/2023; 과제명: 소아청소년 심리검사 및 뇌영상 데이터 구축; 역할: 참여기관 연구책임자

• Grant Award: NIH R21 EB031364; 03/2022 - 12/2023; Title: MRI-Based Regional Assessment of Cerebral Metabolism Via 3D Quantitative BOLD; Role: Co-PI

• Grant Award: 한국연구재단 기본연구 2021R1F1A1045621; 06/2021 - 02/2023; 과제명: 뇌산소대사 정밀 측정을 위한 삼차원 정량적 자기공명영상 기술 개발; 역할: 연구책임자

• Grant Award: NIH UL1TR001878 / Institute for Translational Medicine and Therapeutics (ITMAT); 03/2019 – 02/2021; Title: Assessing Oxygen Metabolism in Patients with Steno-Occlusive Disease; Role: PI 

• First Place for the Best Scientific Trainee Contributions; Awarded by Detection & Correction of Motion in MRI & MRS Study Group at 27th ISMRM, Montreal, Canada, 2019

• Summa Cum Laude Merit Award for Outstanding Abstract, 22th ISMRM, Milan, Italy, 2014; Title: “Current-Controlled Alternating Steady State Free Precession for Rapid Conductivity Mapping”

• Magna Cum Laude Merit Award for Outstanding Abstract, 20th ISMRM, Melbourne, Australia, 2012; Title: “Dual-Echo Single-Slab 3D Turbo Spin Echo Imaging for Highly Efficient Sub-Millimeter Whole-Brain Gray Matter Imaging”

• Student Stipend Awards, ISMRM, 2009 – 2012

Master

Jinwon Kim (03/2022 - 02/2024); Thesis: "Deep Learning for Automated Quantification of Cerebral Blood Flow from Phase Contrast MRI" (Excellent Paper of 2023; Awarded from KNU EE)

Undergraduates

Donghyun Lee (01/2023 - 06/2023); Current: POSTECH Graduate School

Hye Ryeong Choi (07/2021 - 06/2022); Current: KAIST Graduate School

Sae Bom Lee (07/2021 - 06/2022); Current: LG Electronics

Jiseok Kim (12/2021 - 04/2022); Current: LG Electronics

Yong Hwan Choi and Aram Jung (07/2022 - 08/2022)

Hyeon Woo Cho, Su Jong Lee, and Pyo Seong Kim (12/2022 - 02/2023)

Jun Yeop Lim (06/2023 - 08/2023)

Jun Hyuk Park (09/2023 - 12/2023)

Hyeonjung Jang (12/2023 - 02/2024)