Professor, Electrical Engineering
Co-Director, Wireless Institute
University of Notre Dame
Summary
Technical expert in wireless systems and radio spectrum access. Award-winning researcher, educator, and academic leader. Inventor, patent portfolio advisor, and expert witness. Collaborates widely with academic, industry, and government partners. Mentors students and other faculty in developing their knowledge, skills, and professional careers.
Recent Highlights
- First FCC comment that I led with colleagues from ND Wireless and SpectrumX, October 2023.
- First TPRC paper developed through SpectrumX collaborations, September 2023.
- Provided oral and written comments to the Second NTIA Listening Sesssion on the National Spectrum Strategy, which we hosted through SpectrumX at the University of Notre Dame, April 2023.
- NTIA Institute for Telecommunication Sciences Liaison created to foster collaboration between key government lab and academia around the radio spectrum, February 2023.
- Keynote Presentation at GRCon 2022 on leveraging software-defined radio for research, teaching, and collaborations, September, 2022.
- Founding Member of the ATIS NextG Alliance Research Council, August, 2022
- Bridging the Digital Divide in collaboration with the City of South Bend Schools, City of South Bend, enFocus, Hayes Tower, and Choicelight, August 2022.
- NSF and ND press releases announcing that SpectrumX has been funded as the first NSF Spectrum Innovation Center, September 2021.
- Personal story on becoming an electrical engineer, professor, and mentor, June 2021.
- Nik Kleber submitted his PhD thesis on The Design of Widespread Spectrum Monitoring Systems, April 2021.
Research Interests
- Wireless System Modeling and Analysis (specialty)
- Probabilistic and Baseband-Equivalent Modeling
- Signal Processing and Coding Algorithms
- Multiaccess and Link Level Protocols
- Spectrum Sharing and Coexistence Mechanisms
- Information Theory
- Radio Hardware and Software Design (collaborative)
- PHY and MAC Layers
- Evaluation Boards
- Software-Defined Radio
- Experimental Measurements and Data Collection (collaborative)
- Experiment Design
- Archival Datasets
- Machine Learning