Sofiene Mansouri | Engineering and Technology | Best Researcher Award

Sofiene Mansouri | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Sofiene Mansouri, Prince Sattam Bin Abdelaziz University, Saudi Arabia

Assoc. Prof. Dr. Sofiene Mansouri is a distinguished academic in biomedical engineering and medical electronics. He holds a Ph.D. in Electronics, specializing in non-invasive cardiovascular diagnostics, and has expertise in medical devices, biosensors, and biomedical electronics. Currently an Associate Professor at Prince Sattam bin Abdulaziz University (PSAU) in Saudi Arabia, he leads the Scientific Research Unit. He has contributed to multiple research projects on breast cancer detection, smartwatches, and vital sign monitoring. With over 30 publications, Dr. Mansouri has co-supervised PhDs and won university awards for innovative student projects. 🧑‍🔬📚🩺💡

Publication Profile

Google Scholar

Education and Expertise 

Assoc. Prof. Dr. Sofiene Mansouri is an expert in Biomedical Engineering, holding a Habilitation Diploma, a Ph.D. in Electronics with a focus on Medical Electronics, and a Master’s in Biomedical Engineering. His research centers on non-invasive diagnostics, biosensors, and biomedical device design. He has made significant contributions to cardiovascular health and breast cancer detection, showcasing his dedication to advancing medical technologies. With a strong academic foundation and a passion for improving healthcare through innovation, Dr. Mansouri continues to push boundaries in medical electronics and biomedical engineering. 🩺💡🔬📡🎗

Professional Experience

Assoc. Prof. Dr. Sofiene Mansouri has over two decades of experience in academia, holding roles such as Associate Professor, Assistant Professor, and Research Unit Head. His leadership extends to administrative positions, including Vice-Director and Internship Director at ISTMT, as well as head of several academic departments. Dr. Mansouri’s impact goes beyond teaching and research—he founded and served as president of the Tunisian Association of Biomedical Engineering. His extensive contributions in academia, administration, and professional organizations highlight his exceptional expertise and dedication as both a researcher and educator. 🎓🔬📚👨‍🏫⚙️

Recognition and Funding 

Assoc. Prof. Dr. Sofiene Mansouri leads innovative research projects funded by the Deanship of Scientific Research at Prince Sattam bin Abdulaziz University. His work focuses on advanced diagnostic technologies, with notable projects such as breast cancer detection and blood pressure determination using photoplethysmography. These groundbreaking studies not only contribute to the scientific community but also play a vital role in enhancing public health. Dr. Mansouri’s dedication to medical advancements underscores his significant impact in healthcare, making vital strides toward improving diagnostic accuracy and patient care. 🧑‍🔬🔬💉🎗️

Research Focus

Assoc. Prof. Dr. Sofiene Mansouri’s research focuses on electrical bioimpedance techniques, including impedance cardiography and electrical impedance tomography, with applications in medical diagnostics. His work involves signal denoising methods and the development of innovative biosensors, such as CRISPR/Cas-based sensors for detecting mycotoxins. Dr. Mansouri is also exploring non-invasive approaches for detecting breast cancer and valvular heart diseases using bioimpedance. Additionally, his research delves into enhancing materials like chitosan films for biomedical applications and developing bacteria-imprinted polymers for pathogen detection. His contributions span biomedical engineering, biosensors, and bioimpedance technology. 🩺🔬💡🧬🫀

Publication Top Notes

Electrical Impedance tomography: Recent applications and developments

Impedance cardiography: recent applications and developments

Image distortion from zoom lenses: modeling and digital correction

Impedance cardiography signal denoising using discrete wavelet transform

CRISPR/Cas-based nanobiosensors: A reinforced approach for specific and sensitive recognition of mycotoxins

Breast Cancer Detection Using Low-Frequency Bioimpedance Device

Enhancement of mechanical properties of chitosan film by doping with sage extract-loaded niosomes

A review of new emerging biosensors based on bacteria-imprinted polymers towards pathogenic bacteria: Promising new tools for selective detection

Signal processing techniques applied to impedance cardiography ICG signals – a review

Dual-mode colorimetric and fluorescence biosensors for the detection of foodborne bacteria

Molecularly imprinted polymers for biosensing of hormones in food safety and biomedical analysis: Progress and perspectives

Non‐invasive Measurement of Blood Glucose by Breath Analysis

Afful Ekow Kelly | Engineering and Technology | Best Researcher Award

Afful Ekow Kelly | Engineering and Technology | Best Researcher Award

Dr Afful Ekow Kelly, Catholic University of Ghana, Ghana

Based on the provided information, Dr. Afful Ekow Kelly is indeed a strong contender for the Best Researcher Award. Here’s a breakdown of why he might be a suitable candidate:

publication profile

Scopus

Academic and Professional Background

Dr. Afful Ekow Kelly holds a Higher National Diploma in Statistics, a Master’s degree in Information Technology with a focus on data security, and a PhD in mobile money security algorithms. His diverse academic background supports his robust research capabilities. Professionally, he has experience lecturing at All Nation University and conducting research in collaboration with prestigious institutions like Rutgers University, Colorado State University, and The University of Mines and Technology (UMaT). This combination of academic credentials and professional experience provides a solid foundation for his research work.

Research and Innovations

Dr. Kelly’s research addresses critical areas in technology and financial systems. His completed and ongoing projects (9 in total) demonstrate a commitment to advancing knowledge in mobile money banking, security, and technology adoption. His studies have made significant contributions to understanding mobile payment adoption among Gen-Z, enhancing security in mobile money systems, and improving disaster management strategies. These contributions highlight his innovative approach and practical impact.

Notable Publications and Citations

Dr. Kelly has published in reputable journals such as the Journal of Innovation and Entrepreneurship and Journal of Emergency Management and Disaster Communications. His work, including the paper on mobile money service transactions in Ghana, has been cited 10 times, reflecting its influence and recognition in the academic community.

Contributions

Dr. Kelly’s research in mobile money banking offers insights into enhancing marketing strategies and promoting sustainable financial practices. His work on mobile money security contributes to reducing fraud and increasing consumer trust, thereby fostering financial inclusion. Additionally, his studies on disaster management provide actionable strategies for improving disaster risk reduction and resilience.

Research Impact

Dr. Kelly’s research has practical implications, such as improving mobile money security and adoption, and providing insights into disaster management. His work aids in understanding factors affecting mobile money usage and enhancing financial security, which is crucial for promoting financial inclusion and disaster resilience.

Awards and Recognition

Dr. Kelly’s contributions to the field have been recognized through significant publications and citations. His ongoing research projects and collaborations with renowned institutions further highlight his commitment and impact in his area of expertise.

Conclusion

Dr. Afful Ekow Kelly’s academic qualifications, extensive research experience, and impactful contributions to mobile money security and disaster management make him a compelling candidate for the Best Researcher Award. His innovative approach and significant findings align well with the criteria for this prestigious recognition.

publication top notes

The sustainability and contribution of Generation Z influenced by hedonic and utilitarian values to use mobile money services for fee payment

Using a technology acceptance model to determine factors influencing continued usage of mobile money service transactions in Ghana

The contribution of government policy and financial security control in Ghana’s mobile money services

 

ABDULFATTAH AHMED QASEM ALWAH | Engineering and Technology | Best Researcher Award

ABDULFATTAH AHMED QASEM ALWAH | Engineering and Technology | Best Researcher Award

Assist Prof Dr ABDULFATTAH AHMED QASEM ALWAH, Ibb University, Yemen

Based on Mr. Tailong Lv’s educational background, research experience, and publication, here’s an assessment of whether he is a suitable candidate for the Best Researcher Award.

Publication profile

google scholar

Education

Mr. Tailong Lv holds a Bachelor’s degree in Automation from Henan University of Urban Construction and is currently pursuing a Master’s degree in Mechanical Engineering at Xi’an University of Posts & Telecommunications. His academic foundation is strong, particularly in technical fields relevant to his research focus.

Research Project

Mr. Lv’s main research project, “Deep Learning Based Human Activity Recognition,” showcases his proficiency in applying deep learning techniques to real-world problems. His work focuses on optimizing neural networks for better recognition of complex human activities. This is a cutting-edge area in artificial intelligence and has significant potential for applications in areas such as surveillance, healthcare, and human-computer interaction. His contribution to this field is commendable, given the complexity and real-world relevance of the project.

Awards & Recognition

Mr. Lv has received consecutive scholarships from Xi’an University of Posts and Telecommunications in 2022 and 2023, demonstrating academic excellence and a consistent track record of high achievement.

Research focus

The research focus of this person primarily revolves around urban planning, environmental sustainability, and public space management. Their work involves evaluating the disparity between supply and demand for green spaces 🌳, analyzing visual pollution in historical cities 🏙️, and predicting urban waterlogging risks 🌧️. Additionally, they contribute to developing tools to measure public space efficiency and studying the relationship between built environments and social sustainability 🏞️. Their research emphasizes creating better urban environments by addressing ecological concerns, enhancing public spaces, and promoting social well-being through thoughtful urban design.

Publication

His recent publication, “Multihead-Res-SE Residual Network with Attention for Human Activity Recognition” in the journal Electronics, reflects his engagement in research at an advanced level. Co-authoring this paper with established researchers like Hongbo Kang and Chunjie Yang, and contributing to a field as impactful as human activity recognition, highlights his research capabilities.

Conclusion

Mr. Tailong Lv’s solid educational background, innovative research in deep learning, continuous academic excellence, and publication record make him a strong candidate for the Best Researcher Award. His work contributes significantly to the field of AI and human activity recognition, aligning with the qualities expected of an award-winning researcher.

Publication top notes

Evaluating the disparity between supply and demand of park green space using a multi-dimensional spatial equity evaluation framework

Predicting urban waterlogging risks by regression models and internet open-data sources

Developing a quantitative tool to measure the extent to which public spaces meet user needs

Difficulty and complexity in dealing with visual pollution in historical cities: The historical city of Ibb, Yemen as a case study

Relationship between physical elements and density of use of public spaces in Sana’a City

Research of urban suitable ecological land based on the minimum cumulative resistance model: A Case Study from Hanoi, Vietnam

Analysis of visual pollution of the urban environment in the old city of Ibb

Characteristics of visiting urban open spaces in Sana’a city in Yemen

Relationship between the perceived characteristics of the built environment and social sustainability: Sana’a City, Yemen use case..

Predicting urban waterlogging risks by regression models and internet open-data sources. Water 12 (3): 879

 

 

 

Monideep Dey | Engineering and Technology | Best Researcher Award

Monideep Dey | Engineering and Technology | Best Researcher Award

Dr Monideep Dey, Deytec, Inc. United States

Dr. Monideep Dey is highly suitable for the Best Researcher Award due to his extensive contributions to nuclear safety regulation and international standards over a 44-year career. As the principal consultant of Deytec, Inc., Dr. Dey has focused on promoting rigorous nuclear safety practices and supporting international safety standards to ensure a high level of nuclear safety globally.

Publication profile

Orcid

Innovative Performance-Based Regulation

During his tenure at the US Nuclear Regulatory Commission, Dr. Dey pioneered the use of advanced models for performance-based regulation, significantly enhancing nuclear safety. His work included the verification of these models for effective use in nuclear safety regulation.

International Expertise and Leadership

Dr. Dey has served as a US technical expert in various leadership roles, including at the International Organization for Standardization (ISO) and the United Nations Economic Commission for Europe (UNECE). His contributions in these roles have been instrumental in advancing global safety and conformity assessment standards.

Significant Academic Contributions

Dr. Dey’s academic background, with a PhD in Nuclear Engineering from the University of Michigan, has provided a strong foundation for his extensive research and publications. His work has been documented in numerous conference papers and journal articles, showcasing his impact on nuclear safety and fire protection standards.

Recognition and Awards

Throughout his career, Dr. Dey has been recognized with several awards, including the Special Achievement Award and the High-Quality Award. His leadership and contributions have been acknowledged by peers, further highlighting his qualifications for the Best Researcher Award.

Conclusion

With his vast experience in nuclear safety regulation, international standards, and public policy, combined with his innovative research and leadership, Dr. Monideep Dey exemplifies the qualities of a top researcher in his field, making him an ideal candidate for the Best Researcher Award.

Publication top notes

An evaluation of risk methods for prioritizing fire protection features: A procedure for fire barrier penetration seals

Conceptual framework for formulating a focused and cost-effective fire protection program based on analyses of risk and the dynamics of fire effects

 

JianCheng Gu | Engineering and Technology | Best Researcher Award

JianCheng Gu | Engineering and Technology | Best Researcher Award

Assist Prof Dr JianCheng Gu, Nanjing Tech University, China

Based on Dr. JianCheng Gu’s biography and research contributions, he appears to be a strong candidate for the Best Research Award.

Publication profile

google scholar

Innovative Research

Dr. Gu has developed a novel approach for rapid building damage assessment post-disasters using machine learning and remote sensing. This innovative method addresses a critical need in disaster response and reconstruction, highlighting his ability to push the boundaries of current research.

High-Impact Publications

His work has been published in reputable journals like Composite Structures, Journal of Constructional Steel Research, and Buildings. His research on infrared thermography and shear connectors demonstrates his expertise in structural assessment and repair technologies.

Research Contributions

Dr. Gu’s research on delamination detection, shear resistance, and rapid damage identification has significant practical applications. His studies contribute to improving construction materials and methods, which are crucial for advancing building safety and resilience.

Acknowledged Support

The research is supported by the Japan Society for the Promotion of Science (JSPS), indicating recognition and financial backing from a prestigious institution. This support underscores the relevance and importance of his work in the academic community.

Collaboration and Outreach

Dr. Gu’s collaboration with open-source contributors and his acknowledgment of their efforts reflect his commitment to the broader research community and interdisciplinary work.

Conclusion

Dr. Gu’s innovative approach, impactful publications, significant contributions to structural engineering, and collaboration with the academic community make him a strong candidate for the Best Researcher Award. His work addresses critical issues in disaster management and construction, demonstrating both practical and theoretical advancements in his field.

Publication top notes

Detectability of delamination regions using infrared thermography in concrete members strengthened by CFRP jacketing

Experimental study on the shear resistance of a comb-type perfobond rib shear connector

Image processing methodology for detecting delaminations using infrared thermography in CFRP-jacketed concrete members by infrared thermography

Study of single perfobond rib with head stud shear connectors for a composite structure

Advances in Rapid Damage Identification Methods for Post-Disaster Regional Buildings Based on Remote Sensing Images: A Survey

Calculation method for flexural capacity of composite girders with corrugated steel webs

Effects of corrosion on shear behaviour of discontinuous perfobond rib shear connectors

Experimental study on asynchronous construction for composite bridges with CSWs: Comparative study

Experimental study on flexural behavior of steel-laminated concrete (NC and UHPC) composite beams with corrugated steel webs

Abdul Rehman | Engineering and Technology | Best Researcher Award

Abdul Rehman | Engineering and Technology | Best Researcher Award

Dr Abdul Rehman ,University of L’Aquila, Italy

Abdul Rehman is a dedicated researcher with a Ph.D. in Information and Communication Technologies from the University of L’Aquila, specializing in network architecture, industrial IoT, and simulation environments 🎓🌐. He has extensive experience in designing scalable communication systems and developing integrated simulators for complex networks, focusing on SDN and RIS technologies 🖧💻. Abdul has published numerous papers in top-tier journals and conferences, contributing to advancements in wireless and high-frequency communications 📚📡. He has also taught at the Venture College of Engineering in Islamabad, Pakistan, and has a Master’s in Electronics and Communication Engineering from Shanghai 🌏📘.

Publication profile

google scholar

Education

Dr. Abdul Rehman is a dedicated researcher specializing in ICT with a Ph.D. from the University of L’Aquila, Italy (2021-2024). His thesis focuses on performance analysis of multiple access protocols for sidelink vehicular communications, encompassing 5/6G, URLLC, and wireless communication 📡🚗. He holds a Master’s in Electronics and Communication Engineering from Shanghai Jiao Tong University, China (2017-2019), where he researched GNSS integration for pedestrian smartphone navigation 📱🛰️. His Bachelor’s in Electrical (Telecommunication) Engineering from Government College University Faisalabad, Pakistan (2013-2017) involved deforestation analysis using remote sensing 🌲🛰️. His expertise includes sensor fusion, signal processing, and satellite communications.

Experience

From July 2021 to October 2024, He worked as a researcher at EX-EMERGE in L’Aquila, Italy, focusing on Energy Efficient Networks, URLLC in IoT, and Sidelink Vehicular Communications. He developed scalable and secure architectures for wireless systems, researched adaptive modulation and coding techniques, and designed integrable systems for efficient communication in varying conditions. He findings were published in top-tier journals and conferences. From July 2019 to December 2020, He lectured at Venture College of Engineering in Islamabad, Pakistan, teaching courses like Wireless Communication and supervising undergraduate research projects 📡📚🔬.

Honors and Awards

In 2019, the Certificate of Honor was awarded at the China Satellite Navigation Conference 🌟. Recognition for serving as Chairperson at IEEE-SAC was received in 2015 🏅. The same year saw the completion of the Continuing Professional Development Program (CPD-PEC) 📜. Significant contributions to the IEEE Young Professionals and Skill Development Program were acknowledged in 2014 🎓. Participation in the IEEE Tech-fair also occurred in 2014 🚀. Furthermore, a Certificate of Distinction was awarded for achieving 3rd position in BISE in 2014 🎖️.

Research focus

A Rehman’s research focuses on advanced techniques in image processing, GNSS/PDR integration, and communication systems. Notable works include developing Mask RCNN-FPN for breast lesion detection 🩺, utilizing extended Kalman filters for precise pedestrian smartphone navigation 📱, and analyzing deforestation in northern Pakistan using supervised classification 🌲. His contributions to GNSS and PDR fusion algorithms improve pedestrian navigation accuracy 🧭. Additionally, his research on multiple access interference in LTE-V2X and NR-V2X sidelink communications enhances vehicular communication networks 🚗. These diverse studies highlight A Rehman’s expertise in biomedical imaging, navigation technology, and communication systems 📡.

Publication top notes

Multi-detection and segmentation of breast lesions based on mask rcnn-fpn

Accurate and direct GNSS/PDR integration using extended Kalman filter for pedestrian smartphone navigation

Deforestation analysis of northern areas (Pakistan) using image processing and maximum likelihood supervised classification

PDR/GNSS fusion algorithm based on joint heading estimation

On the Impact of Multiple Access Interference in LTE-V2X and NR-V2X Sidelink Communications

Analytical modeling of multiple access interference in C-V2X sidelink communications