Student Advising Philosophy
I am inspired by my adviser, David Notkin's
philosophy about working with students, which he inherited from
his academic father, Nico Habermann. “Focus on the students, since graduating great students
means you’ll produce great research, while focusing on the
research may or may not produce great students.”
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)
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Members
Graduated Advisees
I produced 6 tenure track faculty members so far.
3 are associate professors. 3 are NSF CAREER winners.
![formerphd](studentpicture.jpg)
- Baishakhi Ray
(PhD 2013, Associate Professor at Columbia
University)
- Na
Meng (PhD 2014, Associate Professor at Virginia Tech)
- Myoungkyu
Song (Postdoc 2015, Associate Professor at U.
Nebraska, Omaha)
- Tianyi
Zhang (PhD 2019, Assistant Professor at Purdue)
- Bobby Bruce (Postdoc
2019, Project Scientist at UC Davis)
- Muhammad
Gulzar (PhD 2020, Assistant Professor at Virginia Tech)
- Qian Zhang
(Postdoc 2022, Assistant Professor at UC Riverside)
- Jason Jia Teoh (PhD
2022)
- Hong Jin Kang (Postdoc
2024, Assistant Professor at University of Sydney)
- Haoran Ma (PhD,
co-advised with Harry Xu, Research Engineer, ByteDance)
- Yifan Qiao (PhD, co-advised with
Harry Xu, Postdoc UC Berkeley)
- Ricky Fok (MS,
2024)
- Coraline Sun (MS 2022)
- Jiayu Yi (MS 2022)
- Usama Hameed (MS 2022, co-advised by Harry Xu)
- Shuo He (MS 2022)
- Yiqun Li (MS 2022)
- Mihir Matur (MS 2020)
- Yamini Gotimulkul (MS in 2014)
- John Jacobellis (MS at CMU)
- Tyler McDonnell (PhD Student, UT Austin)
- Napol Rachatasumrit (PhD Student at CMU)
- Valeed Malek (MS in 2017)
- Gary Wilson Jr. (MS in 2013)
- Jinru Hua (MS in 2014)
- Mark Baum (MS in 2011)
- Everton Leandro Alves (Visiting Student
2013-2014)
- Jihun Park (PhD in 2016, co-advising with Doo
Hwan Bae)