Amer Dawoud

Dr. Amer Dawoud serves as an Associate Professor at the University of Southern Mississippi, where he bridges computer engineering with defense technology and medical diagnostics through innovative hardware-software integration. His research program spans electrochemical sensing systems, drone-based surveillance, and advanced image processing algorithms with real-world deployment focus.

His educational foundation includes:

• PhD in Engineering from University of Waterloo (2003)
• MS from Kuwait University (1998)
• BS from Yarmouk University (1988)

Dr. Dawoud's research centers on defense-oriented electrochemical sensing and hardware security for IoT infrastructure. Recent work (2022-2024) pioneers drone-mounted potentiostats for remote chemical warfare agent detection, while his hardware security research develops FPGA-based PUF designs resistant to machine learning attacks. His longstanding expertise in medical image processing features Markov Random Fields and Type-2 fuzzy logic techniques for lung segmentation in radiographs and dermoscopic analysis, demonstrating methodological continuity across domains. Current projects emphasize field-deployable systems that merge drone mobility with embedded electrochemistry for battlefield applications.

Analysis of his publication trajectory reveals strategic evolution from foundational image processing (2009-2015) toward defense technology (2021-2024), with consistent focus on robust, real-world implementations. The integration of Markov Random Fields across medical imaging and document analysis demonstrates cross-domain applicability of his core methodologies. His recent shift to chemical threat detection represents both technological advancement and response to contemporary security challenges.