• Instructed two graduate-level courses: (1) EE7010 Linear Systems, (2) EE7730 Modern Radar Theory.

• Engaged in numerous contracted and subcontracted projects focused on distributed sensing and moving target detection, sponsored by the Air Force Research Laboratory (AFRL).• Directed research projects and led investigations into multistatic radar and distributed sensing.• Facilitated research collaborations, organized program reviews, and presentated key findings.• Developed mathematical models to characterize MIMO radar sensors and their interactions with the environment.• Developed novel moving target detection schemes using distributed radar networks.• Conducted rigorous mathematical analyses and formulated theoretical bounds, metrics, and benchmarks essential for quantifying performance levels.• Designed algorithms for signal exploitation and developed performance models to assess the effectiveness of these algorithms.• Documented outcomes in technical reports and disseminated findings through journal articles and conference papers.

• Managed the advancement of array calibration for long-range automotive imaging radar, tailored explicitly for fully autonomous driving capabilities.• Executed calibration test procedures for massive MIMO arrays within state‑of‑the‑art anechoic chambers.• Developed groundbreaking one‑ and multi‑dimensional spatially variant apodization (SVA) techniques accommodating arbitrary sampling ratios, pivotal for radar imaging and SAR advancements.• Investigated novel methodologies for MIMO radar integration, employing slow‑time coding and code division multiplexing principles.

• Played a key role in advancing MIMO integration and developing radar signal processing algorithms for various automotive radar systems.• Led the development of angle‑finding algorithms for a state‑of‑the‑art short‑range automotive radar.• Conducted array calibration procedures for diverse automotive radar systems.• Explored innovative MIMO integration techniques utilizing Doppler division multiple access (DDMA) and assessed their performance through rigorous testing and statistical analysis.• Developed effective resolutions to mitigate inter‑channel interference prevalent in DDMA‑based MIMO radar systems.• Implemented cutting‑edge ultra‑fast high‑fidelity angle‑finding algorithms employing fast iterative interpolation beamforming (FIIB), tailored to accommodate sparse array topologies.• Explored innovative techniques for waveform design tailored specifically for MIMO radar integration.

• Played a pivotal role in various research projects funded by both the National Science Foundation (NSF) and the AFRL during my tenure at the Center for Advanced Communications in Villanova, PA.• Led research initiatives focusing on shared spectrum access and the coexistence of radar and communication systems.• Pioneered the development of dual‑function radar‑communication, an innovative technique facilitating the seamless integration of communication capabilities into legacy radar systems.• In my role as Director of the Wireless Communications & Positioning Lab, I contributed significantly to the preparation of research grant proposals, coordinating experiments, and facilitating hands‑on experience for students.

• Served as a Co‑Principal Investigator (Co‑PI) on an industry‑funded research project that fostered collaboration between the University of Alberta and the Core Technology Group, Samsung‑Thales, Korea.• Led the development of a dual‑band multiple‑transmit multiple‑receive beam radar system, which was subsequently deployed in navy radar systems.• Led the investigation into MIMO radar utilizing 2D sparse arrays and its applications in navy radar systems.• Contributed to the design of a test‑bed utilized for gathering real experimental data, validating a dual‑band multibeam radar system, and confirming its effectiveness.• Worked part‑time (0.5 FT) with the Signal Analysis and Imaging Group within the Department of Physics, specializing in signal processing for applied seismology.• Conducted research on blended data acquisition centered on seismology and seafloor imaging.• Developed a computationally efficient technique for data de‑blending, tailored for exploration seismology applications.