Abdelouahad Achmamad | Engineering | Best Researcher Award

Published on 14/11/202514/11/2025 by Research Data Analysis

Dr. Abdelouahad Achmamad | Engineering | Best Researcher Award

Universite De Mans | France

Dr. Abde Louahad Achmamad is an embedded software engineer and researcher specializing in intelligent systems, AI algorithms, biomedical signal processing, and advanced embedded technologies for electrical, biomedical, and IoT applications. He holds a PhD in Electrical Engineering, complemented by master’s degrees in biomedical engineering and electrical/electronic engineering, supported by earlier qualifications in electromechanics and electronics. His professional experience spans biomedical R&D, embedded system design, AI-based medical diagnostics, MRI segmentation, IoT health monitoring, wearable sensor development, and security applications for STM32 microcontrollers. He has worked with leading institutions and companies across France and Morocco, including STMicroelectronics, Akkodis, Diabtech, Université de Rouen, ENSIAS, and multiple research laboratories. His scientific output includes 102 citations by 95 documents, 16 publications, and an h-index of 6, reflecting contributions in EMG-based diagnostics, phonoangiography, neuromuscular disorder detection, sensor fusion, and few-shot learning for medical imaging. He has also reviewed more than 200 scientific manuscripts for major journals from Springer, Elsevier, and MDPI, demonstrating recognized expertise in signal processing and embedded systems. His research interests include embedded AI, biomedical instrumentation, wearable sensors, IoT-based healthcare, security-focused embedded design, and intelligent diagnostic systems. Dr. Achmamad remains dedicated to advancing high-impact engineering solutions that enhance healthcare, sensing technologies, and intelligent embedded platforms.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Achmamad, A., & Jbari, A. (2020). A comparative study of wavelet families for electromyography signal classification based on discrete wavelet transform. Bulletin of Electrical Engineering and Informatics.

Achmamad, A., Belkhou, A., & Jbari, A. (2020). Fast automatic detection of amyotrophic lateral sclerosis disease based on Euclidean distance metric. In 2020 International Conference on Electrical and Information Technologies .

Belkhou, A., Achmamad, A., & Jbari, A. (2019). Classification and diagnosis of myopathy EMG signals using the continuous wavelet transform. In 2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science .

Belkhou, A., Achmamad, A., & Jbari, A. (2019). Myopathy detection and classification based on the continuous wavelet transform. Journal of Communications Software and Systems.

Abdelouahad, A., Belkhou, A., Jbari, A., & Bellarbi, L. (2018). Time and frequency parameters of sEMG signal–force relationship. In 2018 International Conference on Optimization and Applications .

MD Rabiul Islam – Biomedical Signal Processing Award – Best Researcher

Published on 23/03/202423/03/2024 by Research Data Analysis

Mr. MD Rabiul Islam - Biomedical Signal Processing Award - Best Researcher

Texas A&M University - Bangladesh

Author Profile

Early Academic Pursuits

Mr. Md. Rabiul Islam embarked on his academic journey with a solid foundation in Electrical and Electronic Engineering (EEE) at Khulna University of Engineering & Technology (KUET), Bangladesh. He demonstrated exceptional academic prowess, achieving a remarkable CGPA of 4.00 out of 4.00 in his M.Sc. Eng. (EEE) and 3.63 out of 4.00 in his B.Sc. Eng. (EEE). His dedication and passion for learning were evident from his early years, as evidenced by his consistent academic excellence throughout his educational endeavors.

Professional Endeavors

Mr. Rabiul Islam's professional journey has been characterized by a blend of teaching, research, and leadership roles. He started as a Lecturer at the Department of EEE, North Western University, Khulna, Bangladesh, where he imparted knowledge in electrical circuits, digital signal processing, and measurement and instrumentation. His commitment to academia led him to progressively higher positions, culminating in his current role as an Assistant Professor (on Leave) at the Department of EEE, Bangladesh Army University of Engineering & Technology, Natore, Bangladesh.

Contributions and Research Focus

Driven by a passion for Artificial Intelligence (AI), Rabiul Islam has made significant contributions to the field of medical imaging, AI, machine learning, signal processing, computer vision, and pattern recognition. His research interests span a wide spectrum, including emotion recognition from EEG signals, fall detection systems, text detection, skin lesion classification, and more. His current focus lies in medical image analysis, particularly in cardiac imaging, exploring the application of AI in heart disease diagnosis and assessment.

Accolades and Recognition

Mr. Rabiul Islam's academic and research contributions have earned him prestigious accolades and recognition. He has authored numerous journal papers and conference papers, demonstrating his expertise in various domains. Notably, his paper titled "Multiple Regression Analysis Based Non-Invasive Blood Glucose Level Estimation Using Photoplethysmography" received the Best Paper Award at the 2021 International Conference on Automation, Control, and Mechatronics for Industry 4.0.

The Biomedical Data Analysis and Signal Processing Award recognizes outstanding contributions in the realm of biomedical signal processing and data analysis. This prestigious accolade celebrates advancements in techniques and methodologies utilized to extract meaningful insights from various biomedical signals and data sources. From intricate physiological signals to complex medical imaging data, recipients of this award demonstrate innovation and excellence in applying signal processing techniques, such as digital signal processing, time-frequency analysis, and pattern recognition, to analyze and interpret biomedical information.

Impact and Influence

Through his research endeavors, Rabiul Islam has contributed significantly to advancing knowledge and innovation in the fields of AI, machine learning, and biomedical signal processing. His work on emotion recognition, fall detection systems, and medical image analysis has the potential to revolutionize healthcare diagnostics and enhance patient care. His publications have been widely cited, indicating the impact and influence of his research within the scientific community.

Legacy and Future Contributions On Biomedical Signal Processing Award

As a dedicated scholar and educator, Rabiul Islam's legacy lies in his commitment to academic excellence, research innovation, and mentorship. He continues to inspire future generations of researchers through his teaching, supervision, and scholarly activities. Moving forward, he aims to further explore the intersection of AI, healthcare, and technology to address pressing societal challenges and improve the quality of life globally. His future contributions are poised to leave a lasting imprint on the fields of AI and medical imaging, shaping the landscape of healthcare and technology.

Citations

Citations 861
h-index 12
i10-index 14

Notable Publication

Nad Siroros | Best Researcher Award | Biomedical Engineering

Published on 09/12/202309/12/2023 by Research Data Analysis

Nad Siroros | Best Researcher Award Winner 2023 🏆

Mr Nad Siroros : Biomedical Engineering

Congratulations to Mr. Nad Siroros, Biomedical Engineering expert, on winning the Best Researcher Award at the International Research Data Analysis Excellence Awards. This prestigious accolade recognizes his outstanding contributions and excellence in the field. Well done, Mr. Siroros, on this remarkable achievement!

Professional profile:

Early Academic Pursuits:

Nad Siroros embarked on his academic journey with a strong foundation in Mechanical Engineering. His undergraduate studies, completed in 2012 at Chiang Mai University, Thailand, were complemented by international exposure, including a visiting student stint at the School of Energy and Power Engineering, Jiangsu University, China, in 2012. This early international experience set the stage for his future endeavors in the field.

Professional Endeavors:

In 2015, Nad earned a Master of Engineering in Biomedical Engineering from Chiang Mai University. This marked a pivotal moment in his academic career as he transitioned into the specialized realm of biomedical engineering. Following this, he undertook co-operative education at the French Institute for Advanced Mechanics (IFMA) in 2010, showcasing his commitment to diverse and comprehensive learning experiences.

Contributions and Research Focus:

From January 2016 to May 2019, Nad engaged in groundbreaking research at the Chair of Medical Engineering (mediTec), Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Germany. His work at this prestigious institute underscored his dedication to the intersection of engineering and medicine. Subsequently, from June 2019 to December 2023, he continued his impactful contributions in the Research Laboratory, specifically the Working Group Clinical and Experimental Orthopaedics Biomechanics, Department of Orthopaedics, Trauma, and Reconstructive Surgery at Uniklinik RWTH Aachen.

Nad's research has been primarily focused on experimental biomechanics, biomechanical modeling, and simulation. His specialization in the design of implants, prostheses, and medical devices showcases a commitment to advancing medical technology and improving patient outcomes.

Accolades and Recognition:

Throughout his academic and professional journey, Nad Siroros has undoubtedly garnered recognition for his exceptional contributions. While specific accolades may not be detailed, the pursuit of a Doctor of Theoretical Medicine at the Faculty of Medicine, RWTH Aachen University, Germany, signifies acknowledgment of his capabilities and potential in the field.

Impact and Influence:

Nad's impact is evident in the institutions and research groups where he has been actively involved. His work has likely contributed to advancements in clinical and experimental orthopaedics biomechanics, leaving a lasting impression on the academic and medical communities.

Legacy and Future Contributions:

As Nad moves towards completing his Doctor of Theoretical Medicine, his legacy in the field of biomechanics and biomedical engineering is solidifying. The interdisciplinary nature of his work suggests a future where his contributions will continue to bridge the gap between engineering and medicine, paving the way for innovative solutions in healthcare.

In summary, Nad Siroros's academic and professional journey is marked by a seamless integration of international experiences, a commitment to research excellence, and a focus on advancing medical technology. His legacy is poised to endure through ongoing and future contributions to the field of theoretical medicine.

Notable publication :

Siroros, N., Merfort, R., Migliorini, F., Lecouturier, S., Leven, S., Praster, M., Hildebrand, F. and Eschweiler, J., 2024. Evaluation of an early-stage prototype polyurethane femoral head implant for hip arthroplasty,Journal of Orthopaedics, Vol. 50, pp. 49-57. DOI: https://doi.org/10.1016/j.jor.2023.11.067 (Available online: 29th November 2023).
July 2023 Siroros, N., Merfort, R., Liu, Y., Praster, M., Migliorini, F., Maffulli, N., Michalik, R., Hildebrand, F. and Eschweiler, J., 2023. Mechanical properties of a bioabsorbable magnesium interference screw for anterior cruciate ligament reconstruction in various testing bone materials, Scientific reports, 13 (1), 1, 12342. DOI: https://doi.org/10.1038/s41598-023-39513-8.

February 2023 Siroros, N., Merfort, R., Liu, Y., Praster, M., Hildebrand, F., Michalik, R. and Eschweiler, J., 2023. In Vitro Investigation of the Fixation
Performance of a Bioabsorbable Magnesium ACL Interference Screw Compared to a Conventional Interference Screw, Life, 13(2), p. 484.
DOI: 10.3390/life13020484.

November 2020 Siroros, N., Liu, Y., Lecouturier, S., Tingart, M. and Eschweiler, J., 2020. A pilot study: development of bone-preserving biomimetic
artificial femoral head cover, Current Directions in Biomedical Engineering, 6(3), pp. 225-228.

June 2017 Siroros, N., Verjans, M., Radermacher, K. and Escheriler, J., 2017. Simulator Based Experimental Motion Analysis of 3D Printed
Artificial Shoulder Joint Geometries, EPiC Series in Health Sciences, Vol.1, pp. 82-87.

April 2014 Siroros, N. and Promma, N., 2014. Determination of Material Parameter of Gelatin-Carboxymethylcellouse Scaffold with Dehydrothermal Crosslinking Technique using Curve Fitting Method. Advanced Materials Research, Vol. 931, pp. 375-380.

Citations:

A total of 16 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

Citations 16
h-index 3