SPADA lab

Signal Processing Algorithm Design and Analysis

Our lab studies algorithms for statistical signal processing and machine learning with applications in data analysis, computer vision, environmental monitoring, image processing, control systems, power grids, genetic expression data analysis, consumer preference modeling, and computer network analysis. We are interested in algorithmic design using principles from optimization theory, as well as mathematical analysis answering questions regarding algorithmic convergence behavior and performance, required sample complexity, algorithmic robustness. See the projects page for descriptions of some of our research areas and the publications page for our research papers. For prospective postdocs or students at all levels interested in joining SPADA lab, please read to the end of this page.

SPADA lab September 2022:

Ph.D. Students

I have the pleasure of working with the following outstanding students and postdocs. Listed is their most recent publication with the SPADA lab.

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Rachel Newton | website | (co-advised with Peter Seiler)

Can Yaras | website | (co-advised with Qing Qu)

Javier Salazar Cavazos | website | (co-advised with Jeff Fessler)

Soo Min Kwon | website | (co-advised with Qing Qu)

Postdocs

Peng Wang | website

Master’s and Undergraduate Students

Iman Malik

Jake Hume

Former Ph.D. Students and Postdocs

Zhe Du | website | (co-advised with Necmiye Ozay)
Defended November 2022, “Learning, Control, and Reduction for Markov Jump Systems”
Next position: Postdoc at UC Riverside.

Kyle Gilman | website
Defended October 2022, “Scalable Algorithms Using Optimization on Orthogonal Matrix Manifolds”
Next position: Applied AI/ML Senior Associate at Chase Bank.

Alex Ritchie | website | (co-advised with Clay Scott)

Davoud Ataee Tarzanagh
Next position: Postdoctoral scholar at University of Pennsylvania.

Haroon Raja
Next positions: Postdoctoral scholar at Tufts. AI Research Scientist at Eli Lilly.

Amanda Bower | website
Defended October 2020, “Dealing with Intransitivity, Non-Convexity, and Algorithmic Bias in Preference Learning”
Next position: Twitter’s ML Ethics, Transparency, and Accountability (META) group.

Ali Soltani-Tehrani
Next position: Associate Principal Data Scientist at AstraZeneca.

Dejiao Zhang | website
Defended May 2019, “Extracting Compact Knowledge from Massive Data”
Next position: Applied research scientist at Amazon Web Services, New York

David Hong | website | (co-advised with Jeff Fessler)
Defended March 2019, “Learning Low-Dimensional Models for Heterogeneous Data”
Next positions: Postdoctoral scholar at Penn – Wharton Statistics Department. Assistant Professor at the University of Delaware.

Greg Ongie | website
Next positions: Postdoctoral scholar at University of Chicago – Statistics and Computer Science Departments. Assistant professor of Mathematics at Marquette University.

John Lipor | website
Defended September 2017, “Sensing Structured Signals with Active and Ensemble Methods”
Next positions: Assistant and then Associate Professor in the Portland State University ECE Department

Former MS lab members:

Yutong Wang | website
Rishhabh Naik
Nisarg Trivedi
Pengyu Xiao
Saket Dewangan
Jenna King

Former undergraduate researchers:

Austin Xu
Andrew Gitlin
Bob Malinas
Nora Farouk
William Zhang
Richard Ortman

Prospective students and postdocs:

If you are interested in joining my research lab, either working on a small project, a Ph.D. thesis, or a postdoctoral project, please read this information.

In the SPADA lab, we enjoy working with students and collaborators who have an enthusiastic curiosity for mathematics and algorithms and their applications in machine learning and signal processing. Our work will draw on tools from probability, linear algebra, and functional analysis as well as contemporary mathematics. You must also demonstrate independent thinking, patience, and integrity. For students already at Michigan, both graduate and undergraduate: Please email me with your CV and the types of projects you’d be interested in, and we can set up a time to meet during my office hours. For prospective postdocs: Please email me with your CV and a research statement, and highlight our shared interests and potential collaborative projects. For prospective graduate students: Please start by applying to the ECE Michigan graduate program. Include my name in your research statement along with reasons why you’d be interested in working with me. I am not actively looking for new students in the fall of 2022, however, I am always open to working with truly outstanding students.

Please make your email subject line “Joining the Balzano lab” to show me you have read this. I will do my best to respond as soon as I can. Since I am busy taking care of my current students, it may take several weeks before I find the time, so I encourage your patience. You will appreciate these priorities if you end up at Michigan. If I have not replied in a few months time, you can assume your background was not a good fit for the lab. Best of luck to you in your search for a research mentor.

SPADA lab January 2021:

SPADA lab April 2019:

SPADA lab December 2017:

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