Teaching Assistant

• 18202 (Undergrad): Mathematical Foundations of Electrical Engineering by J. M. F. Moura
• 18790: Wavelets and Multiresolution Techniques by Jelena Kovačević
• 18799J: Special topics in signal processing: compressive sensing and sparse optimization by Aswin C Sankaranarayanan

Advising

• Jiwoong Park (Ph.D student at Seoul National University), Summer 2020.
• Chao Pan (Ph.D student at UIUC), Summer 2020.
• Yiqi Zhong (Ph.D student at USC Tech), Summer 2020.
• Xiaolong Li (Ph.D student at Virginia Tech), Spring 2020.
• Ningxiao Zhang (Ph.D student at PSU), Fall 2019.
• Vassilis Ioannidis (Ph.D student at University of Minnesota), Summer 2019.
• Pengxiang Wu (Ph.D student at Rutgers ), Summer 2019.
• Divyansh Garg (Undergrad at Cornell ), Summer 2018.
• Yanxi Chen (Undergrad at Tshinghua, China ), Summer 2017.
• Keqin Zeng (Undergrad at China Agricultural University, China ), Summer 2017.
• Chao Pan (Undergrad at Tshinghua, China ), Summer 2016.
• Yuru Wu (Undergrad at Tshinghua, China ), Summer 2016.
• Xiao Ma (Undergrad at Beijing Jiaotong, China ), Summer 2016.
• Shi Zong (MS at CMU), Summer 2015 - Spring 2016.
• Tianxi Ji (MS at CMU), Spring 2015 - Spring 2016.
• Chao Li (MS at CMU), Summer 2015.
• Chen Liang (Undergrad at Tshinghua, China ), Summer 2015.
• Akshay Varun (Undergrad at PESIT, India ), Summer 2015.
• Sean Bittner (Undergrad at CMU), Summer 2014 - Present.
• Brendan Badia (Undergrad at CMU), Summer 2014- Fall 2014.
• Niv Zehngut (Undergrad at CMU), Spring 2014.
• Yu Zhou (MS at CMU), Fall 2012 - Spring 2014.

Courses

• 10701: Machine learning by Alexander J. Smola and Barnabás Póczos
• 10702: Statistical machine learning by Akshay Krishnamurthy and Aarti Singh
• 10704: Information Processing and Learning by Larry Wasserman and Aarti Singh
• 10705: Intermediate statistics by Larry Wasserman
• 10708: Probabilistic graphical models by Eric P. Xing
• 10725: Convex optimization by Barnabás Póczos and Ryan Tibshirani
• 15826: Multimedia database and data mining by Christos Faloutsos
• 18491: Discrete signal processing by Richard Stern
• 18753: Information theory by Rohit Negi
• 18791: Medical image analysis by John Galeotti
• 18794: Pattern recognition theory by Marios Savvides
• 18798: Image, video and multimedia by Yang Cai
• 18799G: Special topics in signal processing: multiresolution and wavelets by Jelena Kovačević
• 18799H: Special topics in signal processing: network science by J. M. F. Moura
• 18799J: Special topics in signal processing: compressive sensing and sparse optimization by Aswin C Sankaranarayanan
• Audit: 21355: Principles of Real Analysis, 21373: Algebraic Structures