Current Postdoctoral Researchers

  • Lili Wang, Lillian Gilbreth Postdoctoral Fellow (co-advised with Prof. Keith LeGrand)

Current Graduate Students

  • Jayanth Bhargav, PhD (co-advised with Prof. Mahsa Ghasemi)
  • Ashley Shaffer, PhD
  • Michael Tynski, PhD
  • Kevin Carrig, MS
  • Alvin Ye, MS
  • Younggil (Joshua) Chang, MS
  • Matthieu Opdyke, MS

Previous Graduate Students and Postdocs

  • Dylan Taylor, MS, Purdue University, 2024.
  • Lei Xin, PhD, Purdue University, 2023 (co-advised with Prof. George Chiu). Currently postdoctoral scholar at the Chinese University of Hong Kong.
  • Kananart Kuwaranancharoen, PhD, Purdue University, 2023. Currently AI Research Scientist at Intel Corp.
  • Tong Yao, PhD, Purdue University, 2023. Currently Senior Data Scientist at Walmart Global Tech.
  • Jiajun Shen, Postdoc, Purdue University, 2023. Currently Research Assistant Professor at the University of Kansas.
  • Mengxue Hou, Lillian Gilbreth Postdoctoral Fellow (co-advised with Prof. Shaoshuai Mou). Currently Assistant Professor at the University of Notre Dame.
  • Mustafa Abdallah, PhD, Purdue University, 2022 (co-advised with Prof. Saurabh Bagchi). Currently Assistant Professor at IUPUI.
  • Baike She, postdoctoral researcher, 2020 - 2022 (co-advised with Prof. Philip Pare). Currently at Georgia Tech.
  • Yijing Xie Lillian Gilbreth Postdoctoral Fellow, 2021 (co-advised with Prof. Shaoshuai Mou). Currently Assistant Professor at the University of Texas at Arlington.
  • Russell Shirey, PhD, Purdue University, 2021 (co-advised with Prof. Sanjay Rao).
  • Hemant Gehlot, PhD, Purdue University, 2021 (co-advised with Prof. Satish Ukkusuri). Currently Assistant Professor at the Indian Institute of Technology, Kanpur, India.
  • Nadia Coleman, MS, Purdue University, 2021.
  • Lintao Ye, PhD, Purdue University, 2020. Currently Assistant Professor at the Huazhong University of Science and Technology, China.
  • Aritra Mitra, PhD, Purdue University, 2020. Starting as Assistant Professor at North Carolina State University in Jan 2023.
  • Amritha Prasad, PhD, Purdue University, 2020. Currently Electric Model Development Engineer at Gamma Technologies.
  • Maria Nieves Brunet, MS, Purdue University, 2020
  • Nathaniel Woodford, MS, Purdue University, 2018
  • Yanzhe Cui, PhD, Purdue University, 2017 (co-advised with Prof. Richard Voyles). Currently at Cadence Systems.
  • Ashish Ranjan Hota, PhD, Purdue University, 2017. Currently Assistant Professor at the Indian Institute of Technology, Kharagpur.
  • Ebrahim Moradi Shahrivar, PhD, University of Waterloo, 2016. Currently Senior Autonomy Engineer at Teledyne FLIR.
  • Haotian Zhang, PhD, University of Waterloo, 2016. Currently Software Engineer at Meta AI.
  • Sin Li, combined BASc/MASc, University of Waterloo, 2014 (co-supervised with Prof. Siddharth Garg)
  • Mohammad Pirani, MASc, University of Waterloo, 2014. Currently Research Assistant Professor at the University of Waterloo.
  • Elaheh Fata, MASc, University of Waterloo, 2013 (co-supervised with Prof. Stephen Smith). Currently Assistant Professor at Queens University, Canada.
  • Thilan Costa, MASc, University of Waterloo, 2012
  • Haotian Zhang, MASc, University of Waterloo, 2012
  • Sharad Birmiwal, PhD, University of Waterloo, 2012 (co-supervised with Prof. Ravi Mazumdar)

Current and Previous Undergraduate Research Assistants

  • Tyler Fedrizzi
  • Samyukta Trikkur
  • Xingchen Wang (Spring - Summer 2018)
  • Sue-Yi Liao (Spring 2018)
  • Irene Jae Jung Choi (Spring 2018)
  • Dakota Hamilton (Spring 2018)
  • Lei Xin (Fall 2017)
  • Eashvar Venkatraman (Fall 2017)
  • Blake Wilson (Spring/Summer 2017)
  • Andrew Binder (Spring/Summer 2017)
  • Tong Yao (Spring 2017)
  • Austin Xavier Hoffman (Spring 2017)
  • Alex Beard (Fall 2016)
  • Zhaowei (Charlie) Wang (Fall 2012)
  • Kartik Vamaraju (Spring 2012)
  • Kartik Ravi (Spring 2012)
  • Alexander Leung (Fall 2011)
  • Jesse Haber-Kucharsky (Winter 2011)
  • Jingxian (Jessie) Xu (Spring 2010, Summer 2011)
  • Min Bai (Spring 2010)

Note to prospective students: My research is primarily theoretical, and thus prospective graduate students should have an excellent mathematical background (particularly in linear algebra and signals-and-systems). A solid background in graph theory, game theory, random processes, distributed algorithms or control theory would also be helpful. If you fit this description, please send me an email. Please note that due to the volume of email that I receive, I can only respond to those whose qualifications match open positions.