Equilibrium and Data-analytics Laboratory

Welcome to the ED Lab

 With Excellence and Dedication in our Grasp

 Optimization Refines our Goals Unsurpassed

The Equilibrium and Data-Analytics Laboratory (ED Lab) lead by Professor, Dr. Yu Ching Lee, is committed to advancing both fundamental and applied research in mathematical programming. The lab specifically focuses on the development of solution techniques, effective model formulations and validations, and their implementation to address complex optimization challenges in large or complex systems across engineering, science, business, industry, and government.

Currently, the research framework of the lab is concentrated on enhancing mathematical optimization techniques, including both constrained and stochastic optimization, within the following specialized domains:

1. Operations Research (OR) in Transportation, Economics/Finance, Sustainability, Manufacturing Systems, and Healthcare

2. Optimization in Machine Learning (ML) Methods

3. Online Learning Algorithms for Pricing

4. Nash Equilibrium Computation

5. Game-based Models

The laboratory welcomes Excellent and Dedicated students with a strong academic background with an interest in scientific research within the field of Mathematical Programming. Industrial experience will be a plus point. Aspiring applicants are encouraged to apply.

The laboratory also welcomes opportunities for industrial professionals and PhD students to present their work and research findings to our lab members, as well as other interested participants, within the fields of optimization, mathematical programming, and their applications.

Announcements

[Congratulations 2024/05] Alumni 王俊涵, 楊永歌 have started their tenure-track faculty positions at NCKU, Taiwan, and WHU, China, respectively. Wish them big success. 

[News 2024/02] New MS Student of IEM Program 辜慧玲, 曾文菉 are expected to join the lab.

[News 2023/10] New MS Student of IEM Program 林憶萍 are expected to join the lab.

[News 2023/07] New MS Students 王玟方, 鄭百翔,  吳柏彥, 單允辰, 盧育琪, 林佳穎, and 劉鎧華 are expected to join the lab.

[News 2022/03] New MS Students 朱泓瑜, 吳定群, 蔡寅傑, 林崇裕, 黃子奕, and 鄭宇竣 are expected to join the lab. 

[News 2021/04] New MS Students 陳子婷, 李柏毅, 李易茱, 江左夷吾, 胡鈞堯, and 林亮吉 are expected to join the lab. 

[News 2020/07/10] New PhD student Sreerag Choorikkat (MTech, VIT, India) is expected to join the lab in Spring semester.

[News 2020/03] New MS Students 瞿祥宇, 何秉峵, 白家鴻, 楊  詠, and 李賜明 are expected to join the lab next semester.  

[News 2019/01/18] The capacity of my lab is reached. 

[News 2018/04/02] Professor Andrew Liu (Purdue University) is expected to short visit for The 10th Summer ORSCM Workshop. His mini-lectures on the recent development of decentralized/distributed optimization algorithms to solve large-scale, long-term capacity expansion problems (both deterministic and stochastic) in power systems and approximate dynamic programming and game-theoretic applications in Smart Grid will be given on June 24 (Sun) and 25 (Mon) respectively. The Venue will be the Lecture Hall on the 3rd floor at Taipei Campus of National Chiao Tung University.  [workshop]

[News 2018/04/02] Summer Researchers Harshit Khandelwal (MS student, Mathematics and computing, IIT Kharagpur) and  Utsav Rajpal (Junior, Production and Industrial Engineering, IIT Roorkee)  are expected to visit during May 10-July 11.

[News 2018/04/02] Famous nonlinear optimization scholar Professor Ruey-Lin Sheu (Mathematics, National Cheng Kung University) is going to give a series of 3-week and 8-hour courses about Conic Programming. His lectures are scheduled on 5/25(Fri) 13:20-15:10   5/31(Thu) 17:30-18:20    6/01(Fri) 13:20-15:10    6/07(Thu) 17:30-18:20   6/08(Fri) 13:20-15:10.  More details will be provided shortly. [announcement]

[News 2018/03/11] My lab is full. New MS students 張祐禎, 李喬瑋, and 黃文盈 are going to join the lab next semester.

[News 2017/06/03] Professor Shiqian Ma (Chinese University of Hong Kong) short visits for The 9th Summer ORSCM Workshop. His mini-lectures on Alternating direction method for sparse optimization and Stochastic optimization algorithms for machine learning problems will be given on June 15-16. [workshop]

[News 2017/03/10] My lab is full.  劉定瑜, 何嘉倫, 王俊涵, 李軍毅, and 許愷宸 are expected to join next semester.

[News 2016/07/12] CAREER Award winner Professor Xiaopeng Li (U of South Florida) short visits for The 8th Summer ORSCM Workshop. His mini-lectures on Reliable Infrastructure Network Modeling will be given on Aug 12.  [agenda]

[News 2016/05/09] Summer Researcher Apurv Maheshwari (Junior, IIT Roorkee) visits. May 9-Jul 11

[News 2016/03/18] My lab is currently full. Expected upcoming members in the Ed Lab:

    馮元  吳沁嬪  李婉華  羅賓  龔如心

[About regular meetings with MS students] Schedule your regular meeting time with me via email (yclee [at] ie.nthu.edu.tw) 

Resources

Dissertation defense (Oral examination) application

Effective 2018/04/02, all students in EDLAB who plan to take the oral examination for fulfilling the requirements of the degree of Master of Science are required to sign and submit a dissertation defense application form to schedule an oral exam with the advisor. 

1. EDLAB碩士論文考試申請書+國立清華大學碩士學位考試細則 

Internal Resources

1. Meeting schedule for 2016 fall

2. Meeting schedule for 2017 spring

3. Meeting schedule for 2017 fall

4. Meeting schedule for 2018 spring 

5. Meeting schedule for 2019 spring

6. Meeting schedule for 2019 fall

7. Meeting schedule for 2020 spring

8. Meeting schedule for 2021 spring

Useful Tools

1.  To edit a LaTex document with math equations: WinEdt  +  MikTex 

2.  To edit the LaTex slides: WinEdt + MikTex + Beamer  (Intro)

3.  To edit the Latex files online and use a variety of templates: overleaf

4.  To solve the optimization problem quickly or online: AMPL format + NEOS

5.  To establish an optimization project with the existing solvers on a single machine: AMPL

6.  To establish an optimization project with the existing solvers on multiple machines: Matlab Optimization toolbox + Parallel computing toolbox + MDCS  ( intro1   intro2   intro3 )

People

Current members:

   PHD student: Sreerag Choorikkat 玖里克 (與徐昕煒老師共同指導);

   MS students: 

                        王玟方; 鄭百翔;  吳柏彥; 單允辰; 盧育琦; 林佳穎; 劉鎧華

張育慈; 孫秉新; 鄧雅之; 林苛彣; 楊子毅; 來宇恩

   IEM MS student:  林憶萍 辜慧玲 曾文菉

Post-doctoral fellow:

   2019 Oct - 2020 Jan: Judy Zhang 張文珠

   2023 Aug - 2024 Jan: Chun-Han Wang 王俊涵

Interns: 

   2016 May-Jul:  Apurv Maheshwari (IIT Roorkee)

   2018 May-Jul: Harshit Khandelwal (IIT Kharagpur) 

   2018 May-Jul: Utsav Rajpal (IIT Roorkee)

Graduated with PHD thesis:

  2019-2023 Chun-Han Wang 王俊涵 

  2017-2023 Yongge Yang 楊永歌 

Graduated with MS thesis:

   Class of 2024: 朱泓瑜; 吳定群; 蔡寅傑; 林崇裕; 黃子奕; 鄭宇竣

   Class of 2023:  Tzu-Ting Chen 陳子婷; Po-Yi Lee 李柏毅;  Yi-Zhu Lee李易茱; Tzou-Yi-Wu Jiang 江左夷吾; Chuan-Ting Lee 李顓廷* ; Cai-Lin Huang 黃采琳*   (*王小璠教授共同指導)  ; Chun-Yao Hu 胡鈞堯 ;  Liang-Chi Lin 林亮吉

   Class of 2022:  Hsiang-Yu Chu 瞿祥宇 ;  Ping-Hung Ho 何秉峵 ;  Chia-Hung Pai 白家鴻 ; Yung Yang 楊  詠 ; Si-Ming Li 李賜明

   Class of 2021 (IEM program):  Keng-Tsu Hu 胡庚足

    Class of 2021:  Yi-Ting Chiu 邱薏庭* , Yen-Chang Chang 張晏彰, Heng-Hsun Yang 楊恆軒* ; Shin-Shiang Huang 黃信翔 

 (*王小璠教授共同指導)  

    Class of 2020:  Yu-Chen Chang 張祐禎, I-Loon Liu 劉軼倫, Wan-Rorng Wong 翁婉容, Chiao-Wei Li 李喬瑋,  Wen-Ying Huang 黃文盈

    Class of 2020 (IEM program): Kuan-Yu Chao 趙貫宇,  Jing-Ming Chen 陳璟民

    Class of 2019:  Chun-Han Wang 王俊涵, Ting-Yu Liu 劉定瑜, Chun-Yi Li 李軍毅, Kai-Chen Hsu 許愷宸

    Class of 2018:  Yuan Feng 馮元, Hsin-Pin Wu 吳沁嬪, Wan-Hwa Lee 李婉華, Ju-Hsin Kung 龔如心, Pin Lo 羅賓 

    Class of 2017:  Yi-Hao Huang 黃逸豪, Si-Jheng Ciou 邱熙証, En-Cheng Chang 張恩誠, Han-Ru Tsai 蔡函儒  

Academic activities

2024 ORSTW, Tainan (Oral presentation): Wen-Fang Wang, Yun-Chen Shan, Chia-Ying Lin, Bo-Yan Wu, Kai-Hua Liu, Yu-Chi Lu

INFORMS 2024, Seattle (Posters): Sreerag Choorikkat,  Wen-Fang Wang, Yun-Chen Shan, Chia-Ying Lin

ISMP 2024, Montreal (Oral presentation): Tze-Yi Huang

2023 ORSTW Thesis Competition (PhD Group): Chun-Han Wang *優勝

2023 Thesis Presentation Competition (Poster Group), College of Engineering, National Tsing Hua University: Tzu-Ting Chen *佳作

Chinese Institute of Industrial Engineers Annual Conference 2022, Kinmen  (Oral Presentation): Chuan-Ting Lee, Cai-Lin Huang (jointly with Professor Hsiao-Fan Wang)

INFORMS 2022, Indianapolis (Poster competition): Chun-Han Wang, Tzu-Ting Chen, Po-Yi Lee

APIEMS 2022, Taichung (Oral Presentation): Sreerag Choorikkat, Chuan-Ting Lee, Cai-Lin Huang

World Congress of the Game Theory Society (GAMES 2020)  (Online Oral Presentation): Yongge Yang

Optimization Day for Young Researchers 2020, Taipei (Speaker): Chun-Han Wang

Chinese Institute of Industrial Engineers Annual Conference 2020, Yunlin  (Oral Presentation): Yi-Ting Chiu (jointly with Professor Hsiao-Fan Wang) *Winner of best paper award 

IPO 2020, Taipei (Oral Presentation): Yi-Ting Chiu

ICCOPT 2019, Berlin (Poster): Chiao-Wei Li, Wen-Ying Huang

INFORMS 2018, Phoenix (Poster competition): Chun-Han Wang, Ting-Yu Liu, Yongge Yang, Kai-Chen Hsu 

TWSIAM 2018, Taipei (Poster competition): Ju-Hsin Kung *Winner of outstanding poster award

INFORMS 2017, Houston (Poster competition): Yuan Feng, Hsin-Pin Wu

TWSIAM 2017, Taipei (Poster competition): Han-Ru Tsai

APIEMS 2016, Taipei (Proceedings and Oral presentations): Yi-Hao Huang, Si-Jheng Ciou, En-Cheng Chang

INFORMS 2016, Nashville (Oral Presentations): Yi-Hao Huang, Si-Jheng Ciou