Waheed U. Bajwa

Waheed U. Bajwa is a Professor in the Department of Electrical & Computer Engineering at Rutgers, The State University of New Jersey, based in the Computing Research & Education Building (CoRE) in Piscataway, NJ. His research spans high-dimensional inference, inverse problems, compressed sensing, and statistical signal processing with critical applications in biological sciences, wireless communications, complex networked systems, and radar/image processing.

His educational background includes a PhD (2009) and MS (2005) in Electrical Engineering from the University of Wisconsin-Madison, and a BE (2001) from Pakistan's National University of Sciences & Technology.

Bajwa's work focuses on developing theoretical frameworks for extracting meaningful information from high-dimensional data, with direct impact on wireless communications infrastructure and biomedical imaging. His methodologies bridge statistical theory with real-world engineering challenges, particularly in resource-constrained sensing environments.

He has received major recognition including the NSF CAREER Award (2015), Army Research Office YIP Award (2014), and Rutgers University Presidential Merit Award (2016). His students have earned best paper awards at IEEE conferences, reflecting his mentorship excellence.

• NSF CAREER Award (2015)
• Army Research Office YIP Award (2014)
• Rutgers Presidential Merit Award (2016)
• ECE Professor of the Year (2016)
• IEEE Senior Member (2013)
• Packard Fellowship Nominee (2012)

Bajwa has advised multiple graduate students whose research has been recognized with competitive paper awards. His work is supported by significant federal grants, including the NSF CAREER award and ARO funding, enabling cutting-edge research in signal processing theory and applications.

He directs the INSPIRE Lab (Information Processing, Statistical Inference, and Related Engineering) at Rutgers, which develops novel algorithms for modern sensing challenges across biomedical, communications, and defense domains.