Electromagnetic Imaging, Inverse Problems, Microwave Imaging for Biomedical Applications, Computational Electromagnetics, Ultrasound Imaging.


Electromagnetics, inverse problems, RF/Microwave systems.

Research description

Main research interests lie in the areas of electromagnetic (RF/microwave) and ultrasound imaging, computational electromagnetics, and inverse problems.


From 1984 to 1986 Joe was an EMI/EMC engineer at Sperry Defence Division in Winnipeg and from 1986 to 1988 he held the position of TEMPEST Engineer at the Communications Security Establishment in Ottawa. From 1988 to 1991 he was a Research Officer at the Institute for Information Technology of the National Research Council of Canada. His academic career began in 1991 when he joined the Dept. of Electrical and Computer Engineering at The University of Western Ontario where he remained until 1999. From 1997 to 1998, he spent a sabbatical year at the TNO Physics and Electronics Laboratory, The Netherlands, doing research in time-domain computational methods and ground-penetrating RADAR. In 1999 he joined the University of Manitoba where he is currently Professor in the Dept. of Electrical and Computer Engineering. From 2004 to 2009, he was the Associate Dean of the Research and Graduate Programs with the Faculty of Engineering. From 2013-2020 he was Head of the ECE Department. In 1993 he received an URSI Young Scientist Award. He received the 2000 IEEE EMC Best Symposium Paper Award, and the 2007 ACES Outstanding Paper Award. In 2002 he received the University of Manitoba Rh Award for Outstanding Contributions to Scholarship and Research in the Applied Sciences. From 2005-2009 he was the National Representative for Commission E on the Canadian National Committee of URSI. He’s been Chapter Chair for the IEEE EMC Ottawa Chapter as well as the Winnipeg Waves Chapter (AP/MTT) and is currently a Senior Member of the IEEE. He’s been a registered Professional Engineer since 1994.

Graduate Student Opportunities

Dr. LoVetri is currently looking for students with an interest in electromagnetic inverse problems and imaging. The two main application areas are: biomedical imaging (head and breast cancer), and stored-grain imaging. Other industrial applications are also possible. Students should have an interest in the application of traditional as well Deep Learning techniques to such problems. Knowledge of computational electromagnetics, such as the use of the finite-element method for PDE formulations of EM problems and the Method of Moments for integral equation techniques is an advantage.

Selected Publications