Jarvis Haupt

Jarvis Haupt is an Associate Professor and Associate Department Head in the Department of Electrical and Computer Engineering at the University of Minnesota - Twin Cities. His work bridges theoretical foundations with practical applications in signal processing, machine learning, and data science. He leads the Haupt Research Group, which focuses on developing novel methodologies for efficient data acquisition and analysis.

Education:

• B.S. in Electrical Engineering from the University of Wisconsin-Madison (2002)
• M.S. in Electrical Engineering from the University of Wisconsin-Madison (2003)
• Ph.D. in Electrical Engineering from the University of Wisconsin-Madison (2009)
• Postdoctoral Research Associate at Rice University (2009-2010)

Professor Haupt's research centers on statistical signal processing and learning theory, with particular expertise in compressed sensing and adaptive sampling techniques. His work develops theoretical foundations for high-dimensional statistical inference while addressing practical challenges in communications, remote sensing, data science, and medical imaging applications. He has made significant contributions to understanding how to efficiently extract information from large datasets through carefully designed measurement processes.

His recent publications demonstrate a shift toward neural network theory and applications, particularly examining convergence properties of gradient flow in homogeneous neural networks. Alongside this theoretical work, he continues to apply signal processing techniques to medical imaging challenges, particularly in MRI reconstruction. His interdisciplinary approach bridges theoretical machine learning with practical applications in imaging systems.

Scientific Awards:

• DARPA Young Faculty Award (2014) and Director's Fellowship extension (2016)
• UMN ECE Russell J. Penrose Excellence in Teaching Award (2015)
• Multiple Best Paper Awards including at GlobalSIP (2015) and IWSHM (2015)
• Wisconsin Academic Excellence Scholarship and other undergraduate honors
• Three U.S. Patents related to adaptive data acquisition and channel estimation

Professor Haupt has supervised numerous graduate students and collaborated extensively across disciplines, particularly with researchers in civil engineering, medical imaging, and astrophysics. His research has been supported by multiple grants from NSF, NIH, DARPA, and the U.S. Army Research Laboratory, totaling millions of dollars. Current projects include work on multi-messenger astrophysics, plenoptic imaging, and brain imaging with minimal mobility restriction.

He leads the Haupt Research Group, which brings together students and collaborators from electrical engineering, computer science, and various application domains. The group maintains strong connections with industry partners and national laboratories, facilitating the translation of theoretical advances into practical systems.