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Professor

Euisik Yoon

Electrical Engineering and Computer Science Dept.
2406 EECS Bldg., 1301 Beal Avenue
Ann Arbor, MI 48109-2122
Phone: (734) 615-4469
Fax: (734)763-9324
Email: esyoon@umich.edu

Euisik Yoon received the B.S. and M.S. degrees in electronics engineering from Seoul National University in 1982 and 1984, respectively, and the Ph.D. degree in electrical engineering from the University of Michigan, Ann Arbor, in 1990. 
From 1990 to 1994 he worked for the National Semiconductor Corp. in Santa Clara, CA, where he engaged in researching deep submicron CMOS integration and advanced gate dielectrics. From 1994 to 1996 he was a Member of the Technical Staff at Silicon Graphics Inc. in Mountain View, CA, where he worked on the design of the MIPS microprocessor R4300i and the RCP 3-D graphic coprocessor. He took faculty positions in the Department of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST) in Daejon, Korea (1996-2005) and in the Department of Electrical and Computer Engineering at the University of Minnesota, Minneapolis, MN (2005-2008), respectively. During the academic year of 2000-2001, he was a Visiting Faculty at Agilent Laboratory, Palo Alto, CA. In 2008, he joined the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor, MI, where he is a Professor and the Director of NSF International Program for the Advancement of Neurotechnology (IPAN). He served as the Director of Solid-State Electronics Laboratory (2011-2015) and the Director of Lurie Nanofabrication Facility (2011-2016) at the University of Michigan. Currently, he is leading the NSF NeuroNex Hub: Multimodal Integrated Neural Technologies (MINT), disseminating neurotechnologies to the research community. His research interests are in MEMS, integrated microsystems, and VLSI circuit design.
Dr. Yoon has served on various Technical Program Committees including the Microprocesses and Nanotechnology Conference (1998), the International Sensor Conference (2001), the IEEE Asia-Pacific Conference on Advanced System Integrated Circuits (2001-2002), the International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers) (2003, 2005), the IEEE International Electron Device Meeting (2006-2008) and the IEEE International Conference on Micro Electro Mechanical Systems (2006, 2009-2010). He also served on the IEEE International Solid-State Circuit Conference program committee (2003-2007) and was a general chair of International Symposium on Bio Micro & Nanosystems (2005). Currently, he serves as an associate editor for IEEE Solid-State Circuits Letters.

[personal webpage]

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Visiting Scholars

Yu-Ting Cheng

Yu-Ting Cheng (SM’07) was born in Taiwan, China. He received the B.S. and M.S. degrees in materials science and engineering from National Tsing Hua University, Hsinchu, Taiwan, in 1991 and 1993, respectively, the M.S. degree in materials science and engineering from Carnegie Mellon University, Pittsburgh, PA, in 1996 and the Ph.D. degree in electrical engineering from the University of Michigan, Ann Arbor, in 2000. His Ph.D. thesis focused on the development of novel vacuum packaging technique for microelectromechanical systems (MEMS) applications. After finishing his Ph.D. study in 2000, he became a research staff member with IBM Thomas J. Watson Research Center, Yorktown Heights, where he was involved in several system-on-a-package (SoP) projects. In 2002, he joined the Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan, as an Assistant Professor and has been promoted as a Professor since 2009. His research interests include the fundamental study of materials for microsystem integration and nano/MEMS applications, SoP, and the design and fabrication of microsensors and microactuators. 
Dr. Cheng was a co-recipient of the 2006 Best Paper Award presented at the 13th IEEE International Conference on Electronics, Circuits and Systems. He has served as a TPC member in many international conference including IEEE NEMS, IEEE Sensors, IEEE Transducers, IEEE ISMM, APCOT, etc. He also served 2018 International Conference on Smart Sensors, Taiwan, as a general co-chair. He is a member of IOP, and Phi Tau Phi.

Office: #2211 EECS
e-mail: ytcheng@umich.edu

​Research Scientists

John Seymour

[faculty website]
John Seymour is research faculty in EECS and a lead investigator on several neurotechnology projects in the Yoon Lab. His research aims to generate next-generation bioelectronic devices by realizing biomimetic neural interfaces and novel system integration. He earned his B.S. in Engineering Physics from Ohio State University, and his M.S. (2004) and Ph.D (2009) in Biomedical Engineering here at the University of Michigan. He worked at NeuroNexus, a neurotechnology firm, for 4 years prior to coming back to academia. His research interests are in brain and organ mapping tools by employing MEMS, electrophysiological sensors, implantable medical devices, optical stimulation tools, better EMI design, and advanced packaging. He is a co-PI on several projects and has led several successful SBIR grants as the lead PI around long-term tissue response and high-density optoelectrodes. Currently he has 9 issued patents.
Office: #2227 EECS
e-mail: seymourj@umich.edu
phone: 734-647-3984
​

Sung-Yun Park

Sung-Yun Park received his B.S. in Electrical Engineering from the Pusan National Univerisity (Busan, South Korea) in 2005, his M.S. in Electrical Engineering from the Korean Advanced Institute of Science and Technology (Daejeon, South Korea) in 2008, and his M.Eng. in Electrical and Computer Engineering from the Cornell University (Ithaca, U.S.) in 2011. He has received a Ph.D. degree in Electrical Engineering from University of Michigan (Ann Arbor, U.S.) in 2016, while working in the Yoon Lab. From 2009 to 2010, he was a mixed signal IC designer at the Fairchild Semiconductor, Buchoen, South Korea. Having previously worked with photonic device research during his B.S. and M.S. studies, Sung-Yun is currently interested in mixed signal IC design. His current focus is on low power, low noise mixed signal processing IC and power management IC design for biomedical systems.
Office: #2216 EECS
e-mail: sungyun@umich.edu
​

Yu-Chih Chen

Yu-Chih Chen received his dual bachelor degrees in Electrical Engineering and Law from the National Taiwan University, Taipei in 2008, his Ph.D. degree in Electrical & Computer Engineering at the University of Michigan, Ann Arbor in 2014. He is currently a research faculty in both Electrical & Computer Engineering Department and Forbes Institute for Cancer Discovery of the University of Michigan, Ann Arbor. Yu-Chih was a recipient of the TSMC Outstanding Student Research Award (2008), Orienstein Ph.D. Fellowship (2009), Best Post-Doctoral Speaker Award in Microfluidics in Biomedical Sciences Training Program (2015), and Emerging Forbes Scholar selected by Forbes Institute for Cancer Discovery (2017). He has served as a Session Chair and judge for Engineering Graduate Symposium, the University of Michigan, and Microfluidics in Biomedical Sciences Training Program (MBSTP). His current research focuses on microfluidic high-throughput single-cell assays, next generation sequencing (NGS) for single cells, machining learning based on cellular morphology. Collectively, the integrative method enables the discovery and validation of novel regulators in cancer initiation and metastasis.
Office: #2117 EECS
e-mail: yuchchen@umich.edu

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Post-Doctoral Researchers

Seungwon Jung

​​Seungwon Jung received his B.S. and Ph.D. in Mechanical Engineering from the Seoul National University (Seoul, Korea) in 2005 and 2011, respectively. From 2012 to 2016, he worked in Korea Institute of Science and Technology. From 2016, he has worked as a research professor in Kyung Hee University. He is currently a Visiting Research investigator in ECE (Yoon Group) and working on microfluidic-based single cell analysis.
Office: #2211 EECS
e-mail: jungsw@umich.edu
​

Mihaly (Misi) Voroslakos

Mihaly Voroslakos received his M.D. from Faculty of Medicine, University of Szeged, Hungary, in 2012. He has experience with in vivo neurophysiology techniques. He is testing the advanced neural probes which are developed in the Yoon's laboratory and performing neuroscience experiments.
Office: #2416 EECS​
e-mail: mvoeroes@umich.edu

​Graduate Students

Dimitri James

Dimitri received a B.S. degree in Electrical Engineering from Purdue University in 2017 and is now pursuing a Ph.D in Electrical Engineering at the University of Michigan. His interests include neural interface and mixed signal IC design.
Office: #2421 EECS
e-mail: djms@umich.edu

​

Kanghwan "Khan" Kim

Khan received his B. E. in Electrical Engineering from The Cooper Union, New York, NY, in 2013. He is now pursuing a Ph. D. degree in Electrical Engineering at the University of Michigan. He is interested in developing tools that can enable breakthrough in neuroscience research, including multi-functional neural probes for optogenetics study and recording and stimulation system for real-time closed-loop neuroscience experiments in freely moving animals.
Office: #2421 EECS
e-mail: khankim@umich.edu
​​​​

Yu-Ju Lin

Yu-Ju finished her B. S. and M. S. degree in Electrical Engineering at National Taiwan University (Taipei, Taiwan) in 2009 and 2012 repectively. From 2011 to 2012, Yu-Ju interned at Alcatel-Lucent Bell labs, New Jersy. She is currently pursuing a Ph.D in Electrical Engineering at the University of Michigan, Ann Arbor. Her research interests include neural interface circuits and low power RF transceivers.
Office: #2421 EECS
e-mail: yujulin@umich.edu


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Kyunghwan Na

Kyounghwan Na received a B.S. degree in Mechanical Engineering from Seoul National University (Seoul, Korea) in 2005, and a M.S. degree in Electrical Engineering from Seoul National University in 2007. From 2007 to 2011, he had worked for Korea Institute of Science and Technology. Currently, he is pursuing a Ph.D. in Electrical Engineering at the University of Michigan, and his research area is silicon based microfabricated neural probe.
Office: #2421 EECS
e-mail: khna@umich.edu

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Sungjin Oh

Sungjin Oh received his B.S. and M.S. degrees in Electrical and Computer Engineering from Seoul National University (Seoul, South Korea) in 2013 and 2015, respectively. He had worked at Korea Institute of Science and Technology (Seoul, South Korea) from 2015 to 2018, where he was involved in the biomedical electronics design. He is currently pursuing his PhD degree in Electrical and Computer Engineering at the University of Michigan, Ann Arbor. He is interested in biomedical circuit design for high-performance neural interface systems.
Office: #2421 EECS
e-mail: sngjnoh@umich.edu
​​

Hyunsoo Song

Hyunsoo Song received his B.S. and M.S. degrees in Electrical Engineering at the Seoul National University (Seoul, South Korea) in 2010 and 2012, respectively. Until 2016, he had worked at Pixelplus (Suwon-si, South Korea) to design CMOS image sensor pixels. Currently, he is pursuing a Ph.D. in Electrical Engineering at the University of Michigan, focusing on mixed-signal circuit designs. His current interests include CMOS image sensors and low-noise, energy-efficient sensor interfaces.
Office: #2421 EECS
e-mail: hyunsoos@umich.edu
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Yuting Wu

​Yuting Wu received her B.S. in Microelectronics at Peking University, China in 2017. She is now pursuing a Ph.D. in Mechanical Engineering at the University of Michigan. She is interested in creating effective tools for biomedical applications, and her current research is focused on neural probe and optogenetics.
Office: #2421 EECS
e-mail: wuyt@umich.edu

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​​

Dongxiao Yan

Dongxiao finished his B.S. in Microelectronics at Peking University, China, 2015. He is currently pursuing a Ph.D. in Electrical & Computer Engineering at the University of Michigan. His research interests include implantable MEMS, neural probe and soft and stretchable electronics. He is committed to exploring innovative microsystem solutions for biomedical scientific questions or application.
Office: #2421 EECS
e-mail: yando@umich.edu​
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​​

Zhixiong Zhang

Zhixiong Zhang received his B.S. in Department of Microelectronics and Nanoelectronics from Tsinghua University, China in 2013. He is currently pursuing a PhD in Electrical Engineering at the University of Michigan. Zhixiong has previously worked on Dual Mode operation of ECL Sensor and ECL Sensor Self-Referencing. His research interest includes single cell analysis devices and high throughput microfluidic systems.
Office: #2421 EECS  
e-mail: zhangzx@umich.edu
​

Past Doctoral Students

Student

Year

Thesis Title

Employer

Kyuseok Lee
(U. of Michigan)

2019

An Energy-Efficient CMOS Image Sensor with Embedded Machine Learning Algorithm

Micron

Adam Mendrela
​(U. of Michigan)

2018

Bidirectional Neural Interface Circuits with On-Chip Stimulation Artifact Reduction Schemes

Draper

Yu-Heng Cheng
​(U. of Michigan)

2018

​High-Efficiency Microfluidics for Single Cell Phenotypic and Transcriptomic Analysis of Rare Cancer Cells

Apple

Komal Kampasi
​(U. of Michigan)

2017

Implantable Low-Noise Fiberless Optoelectrodes for Optogenetic Control of Distinct Neural Populations

Lawrence Livermore National Laboratory

Jihyun Cho
​(U. of Michigan)

2016

​CMOS Sensors for Time-Resolved Active Imaging  

Apple

Sung-Yun Park
​(U. of Michigan)

2016

Area- and Energy-Efficient Modular Circuit Architecture for Parallel Neural Recording Microsystems

University of Michigan

Patrick Ingram
(U. of Michigan)

2014

Single Cells to Spheres: Microfluidic Assays for Characterization of Cancer Stem-like Cells

University of Wisconsin-Madison

Fan Wu
(U. of Michigan)

2014

Implantable Neural Probes for Electrical Recording and Optical Stimulation of Cellular Level Neural Circuitry in Behaving Animals

Diagnostic Biochips, Inc.
​(SB Microsystems)

Yu-Chih Chen
(U. of Michigan)

2014

Comprehensive Single Cell Microfluidic Chips for the Study of Cancer Heterogeneity and Metastasis

University of Michigan

Seok Jun Park
(U. of Michigan)

2013

Bio-Inspired Optic Flow Sensors for Artificial Compound Eyes​

Apple

Sun-Il Chang
(U. of Michigan)

2012

Nano-Watt Modular Integrated Circuits for Wireless Neural Interface

Apple

Khaled M. Alashmouny
(U. of Michigan)

2012

Analog Front-End Circuits for Massive Parallel 3-D Neural Microsystems

Apple

Xia Lou
(U. of Michigan)

2012

A High-throughput Microfluidic Platform for Profiling Photosensitizer Efficacy in Cancer Therapeutic Applications

Ford

Jaehyuk Choi
(U. of Michigan)​

​2009

An Energy-efficient Adaptive CMOS Image Sensor

Sungkyunkwan University

Young-Ji Kim
(U. of Minnesota) ​

2009

Development Of Multi-Purpose Microfluidic Platform For Single-Cell And Pairwise Cell Interaction Assay ​

Samsung ​

Jaehoon Chung
(U. of Minnesota) ​

2007

Microfluidic Single Cell Clonal Culture Chips for Heterogeneity Stud

Harvard Medical Center, IME

Seong-Jin Kim
(KAIST)

2006

Label-free CMOS DNA Sensor with On-Chip Noise Reduction Scheme for Real-time DNA Quantification ​

Samsung, IME, UIST

Dae-Eun Park
(KAIST) ​

2006

MEMS-Based Fuel Reformer Integrated with Catalytic Combustor Using Carbon Nanotubes as Catalyst Supports ​

MagnaChip ​

Sang-Wook Han
(KAIST) ​

2006

A Wide Dynamic Range CMOS Image Sensor with In-Pixel Analog Memory for Pixel Level Integration Time Control ​

KIST ​

Taeksang Song
(KAIST) ​

2005

A Sub-mW 2.4GHz Current-Reused CMOS Receiver Front-End Using Sub-Harmonic Mixer for Wireless Sensors Network ​

Hynix Semiconductor ​

Heon-Min Lee
(KAIST) ​

2004

A Mass-Sensitive Microchemical Sensor System Using Thin Film Bulk Acoustic Resonators (TFBARs) ​

LG Elite ​

Il-Joo Cho
(KAIST) ​

2004

Electromagnetically-Actuated MEMS Switches for Optical and RF Communication Systems ​

KIST

Hyung-Kew Lee
(KAIST) ​

2004

A Wide Range Linearly-Tunable Optical Filter Using Magnetic Actuation ​

Samsung, KRISS

Kwang-Hyun Lee
(KAIST) ​

2003

A CMOS Active Pixel Sensor with Controlled Reset and Spatial-Temporal Multi-Resolution Readout ​

Samsung ​

Kwang-Seok Yun
(KAIST) ​

2003

Microfluidic System for High-Throughput Cell-Based Assay ​

Sogang University ​

Eun-Chul Park
(KAIST) ​

2002

D​esign and Fabrication of Low Phase Noise Integrated VCOs Utilizing MEMS Structures ​

Samsung ​

Jun-Ho Kim
(KAIST) ​

​2002

A Disposable Microfluidic Chip for DNA Sample Preparation of Nucleic Acid Analysis ​

Samsung

Kyung-Nam Han
(KAIST)

 

VLSI Design Using Redundant Binary Number System: Arithmetic Components for Floating-Point Datapath Unit

Synopsys