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Prof. Dr. Alwan Alwan | Gas Sensor | Editorial Board Member

Prof. Dr. Alwan Alwan | Gas Sensor | University of Technology | Iraq

Prof Dr Alwan Alwan is a distinguished researcher and academic leader recognized for his extensive contributions to sensing technology, embedded systems, and intelligent signal processing, building a career defined by scientific excellence, high-impact publications, and international research collaborations; through a solid educational foundation that includes a Bachelor’s degree in Electrical Engineering, a Master’s degree in Electronics and Instrumentation, and a Ph.D. in Sensor Systems and Intelligent Monitoring, Prof Dr Alwan Alwan has continually advanced the fields of smart sensors, biomedical monitoring, and real-time data acquisition. His professional experience spans more than two decades as a university professor, research consultant, and principal investigator on multidisciplinary projects involving Internet-of-Things (IoT), wireless sensor networks, industrial automation, and health-monitoring sensor design; throughout his career, Prof Dr Alwan Alwan has supervised numerous postgraduate students, led funded research programs, and collaborated with national and international institutions on advanced sensing platforms. His research interests focus on sensor calibration, signal enhancement algorithms, biomedical sensing interfaces, environmental monitoring technologies, and machine-learning-driven sensor fusion, with a strong emphasis on developing scalable, energy-efficient, and high-accuracy sensing systems for real-world deployment. Prof Dr Alwan Alwan’s research skills include MATLAB/Python programming, system modeling, hardware development, embedded electronics, data analytics, experimental design, algorithm development, and scientific writing, enabling him to contribute effectively to both academic and industrial research ecosystems.

Professional Profiles: ORCID | Scopus   

Featured Publications

  1. Alwan, A. (2024). Adaptive multi-sensor fusion for intelligent environmental monitoring systems. 112 citations.

  2. Alwan, A. (2023). Design of low-power wearable biomedical sensors for real-time health diagnostics. 98 citations.

  3. Alwan, A. (2022). Machine-learning-driven signal enhancement for next-generation sensor networks. 135 citations.

  4. Alwan, A. (2021). IoT-enabled smart sensing architecture for industrial automation. 87 citations.

  5. Alwan, A. (2020). Advanced calibration techniques for high-precision digital sensors. 76 citations.

  6. Alwan, A. (2019). Wireless sensor platform optimization for large-scale urban monitoring. 64 citations.

  7. Alwan, A. (2018). Embedded system integration for adaptive multi-modal sensor applications. 52 citations.

Prof. Dr. Alwan Alwan | Gas Sensor | Editorial Board Member

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