한수진 프로필 (99년생 카이스트 교수)
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한수진 프로필 (99년생 카이스트 교수)

한수진 프로필 (99년생 카이스트 교수)

이름한수진
생년1999년
학력검정고시 (16살)
UC버클리 3전공 5학기 졸업
직업카이스트 교수

무려 99년생

16살 검정고시 후에

UC버클리 3전공 5학기 졸업

칼텍에서 박사 따고

19살에 SCI급 단독 1저자 논무노 내고

이번에 9월에 카이스트 교수 임용

한수진(Soojean Han) 교수

개인링크

https://soojean.github.io/

최근 소식

Aug 28th, 2023: I begin as an assistant professor at KAIST.

May 12th, 2023: Our paper, Predictive Control of Linear Discrete-Time Markovian Jump Systems by Learning Recurrent Patterns has been accepted to Automatica as a Regular Paper.

Mar 15th, 2023: Our paper, Congestion Control of Vehicle Traffic Networks by Learning Structural and Temporal Patterns has been accepted to the 5th Annual Learning for Dynamics & Control (L4DC) Conference.

Jan 12th, 2023: I successfully defended my thesis!

Oct 5th, 2022: I’ve been invited to give a seminar at KAIST on my work on stability analysis and control for jump stochastic systems based on pattern-learning with memory and prediction. Abstract [here].

Jul 16th, 2022: Our paper, OUTformation: Distributed Data-Gathering with Feedback under Unknown Environment and Communication Delay Constraints, has been accepted to the 61st IEEE Conference on Decision and Control.

May 5th, 2022: Our journal paper, Incremental Nonlinear Stability Analysis of Stochastic Systems Perturbed by Lévy Noise, has been accepted for publication at the International Journal of Robust and Nonlinear Control.

April 8th, 2022: I will be presenting my work on controller architectures based on pattern-learning for a class of discrete-event systems at the 39th SoCal Control Workshop, hosted at UC Irvine.

Publications

SooJean Han, Soon-Jo Chung, John C. Doyle, “Predictive Control of Linear Discrete-Time Markovian Jump Systems by Learning Recurrent Patterns.” Automatica, May 2023. [Link] [PDF]

SooJean Han, Soon-Jo Chung, “Incremental Nonlinear Stability Analysis for Stochastic Systems Perturbed by Lévy Noise.” International Journal of Robust and Nonlinear Control, vol. 32, no. 12, p. 7174-7201, Aug 2022. [Link] [PDF]

SooJean Han, Soon-Jo Chung, Johanna Gustafson, “Congestion Control of Vehicle Traffic Networks by Learning Structural and Temporal Patterns.” Learning for Dynamics and Control Conference (L4DC), Jun 2023. [PDF]

SooJean Han, Michelle Effros, Richard Murray, “OUTformation: Distributed Data Gathering with Feedback under Unknown Environment and Communication Delay Constraints.” ArXiv, Aug 2022. [PDF]

SooJean Han, “Localized Learning of Robust Controllers for Networked Systems with Dynamic Topology.” Learning for Dynamics and Control Conference (L4DC), Jun 2020. [PDF]

Shih-Hao Tseng, SooJean Han, Adam Wierman, “Trading Throughput for Freshness: Freshness-Aware Traffic Engineering and In-Network Freshness Control.” ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS), vol. 8, no. 4, p. 1-26, Mar 2023. [PDF]

Shih-Hao Tseng, Carmen Amo Alonso, SooJean Han, “System Level Synthesis via Dynamic Programming.” 59th IEEE Conference on Decision and Control (CDC), Dec 2020. [PDF]

Mo Chen*, Sylvia L. Herbert*, Haimin Hu, Ye Pu, Jaime F. Fisac, Somil Bansal, SooJean Han, Claire J. Tomlin, “FaSTrack: a Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking.” IEEE Transactions on Automatic Control, vol. 66, no. 12, p. 5861-5876, Dec 2021. [PDF]

Sylvia Herbert*, Mo Chen*, SooJean Han, Somil Bansal, Jaime F. Fisac, and Claire J .Tomlin, “FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion Planning.” 56th IEEE Conference on Decision and Control (CDC), Dec 2017. [PDF]

Lecture Materials and Manuscripts

SooJean Han, “Results from Renewal Theory and Its Applications.” 2022.

SooJean Han, “Stochastic Processes for Control Engineers.” 2016-2020.

SooJean Han, “Efficient Redundancy-Free Computation in Large-Scale Problems via Quantum Implementation of Machine Learning Approaches.” 2022.

SooJean Han, “Application of Girsanov’s Theorem for Brownian Motion and Poisson Processes to Common Filtering Methods in Engineering.” 2021.

SooJean Han, “Methods of Filtering for Single and Multi-Sensor Data Fusion.” 2019-2021.

SooJean Han, “Notes on the Comparison Lemma and Various Forms of Gronwall’s Inequality.” 2021.

SooJean Han, “Notes on Weak Convergence and the Skorokhod Topology.” 2020.

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