Dooyong Koh

About Me

I am a PhD student in Electrical Engineering and Computer Science (EECS) at Massachusetts Institute of Technology (MIT), grateful to work with Professors Marc A. Baldo, Suraj S. Cheema, and Luqiao Liu. My primary research focus is on (i) ferroelectric negative capacitance for energy-efficient logic and (ii) hardware accelerators for machine learning and probabilistic energy-based models. My broader research interests range from emerging materials and devices to computer systems architecture for energy-efficient computing.

I completed my master’s at MIT also in EECS, and my undergraduate studies at Seoul National University (SNU) in Electrical and Computer Engineering (ECE) and Materials Science and Engineering (MSE). At SNU, I had the honor of working with Professors Sangbum Kim and Jong-Ho Lee. I was grateful to receive the SNU Alumni Association Award upon graduation, ranking 2nd in the College of Engineering.

Publications

Closed Loop Superparamagnetic Tunnel Junctions for Reliable True Randomness and Generative Artificial Intelligence

Dooyong Koh^†, Qiuyuan Wang^†, Brooke C. McGoldrick, Chung-Tao Chou, Luqiao Liu, Marc A. Baldo

Nano Letters 25, 10, pp. 3799--3806 (2025)

Triplet Exciton Sensitization of Silicon Mediated by Defect States in Hafnium Oxynitride

Narumi Nagaya, Alexandra Alexiu, Collin F. Perkinson, Oliver M. Nix, Dooyong Koh, Moungi G. Bawendi, William A. Tisdale, Troy Van Voorhis, Marc A. Baldo

Advanced Materials 2415110 (2024)

A New Back‐End‐Of‐Line Ferroelectric Field‐Effect Transistor Platform via Laser Processing

Sang Woo Kim, Wonjun Shin, Ryun-Han Koo, Jangsaeng Kim, Jiseong Im, Dooyong Koh, Jong-Ho Lee, Suraj S. Cheema, Daewoong Kwon

Small 2406376 (2024)

Pattern Training, Inference, and Regeneration Demonstration Using On‐Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine

Uicheol Shin, Masatoshi Ishii, Atsuya Okazaki, Megumi Ito, Malte J. Rasch, Wanki Kim, Akiyo Nomura, Wonseok Choi, Dooyong Koh, Kohji Hosokawa, Matthew BrightSky, Seiji Munetoh, SangBum Kim

Advanced Intelligent Systems 4, 8, 2200034 (2022)

Selected Courseworks

At MIT EECS:

• Applied Quantum and Statistical Physics
• Analysis and Design of Digital Integrated Circuits
• Inference and Information
• Discrete Stochastic Processes
• Introduction to Modeling and Simulation
• Introduction to Applied Convex Optimization

At SNU ECE:

• Semiconductor Devices
• Semiconductor Processes
• Introduction to Circuit Theory and Laboratory
• Introduction to Electronic Circuits and Laboratory
• Digital Logic Design and Lab
• Computer Organization
• Programming Methodology

At SNU MSE:

• Electric, Magnetic and Optical Properties of Materials
• Two-dimensional Materials and Applications
• Introduction to Crystallography
• Mechanical Behavior of Materials
• Thermodynamics of Materials
• Phase Transformation in Materials
• Chemistry of Organic Materials