Sofiene Mansouri | Engineering and Technology | Best Researcher Award

Posted on 17/02/202517/02/2025 by ScienceFather

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

atieh ranjbar | Engineering and Technology | Best Researcher Award

Posted on 03/01/202503/01/2025 by ScienceFather

atieh ranjbar | Engineering and Technology | Best Researcher Award

Assist. Prof. Dr atieh ranjbar, Tafresh University, Iran

Assist. Prof. Dr. Atieh Ranjbar 🎓 is a chemical engineer specializing in nanocatalysts and CO2 conversion 🌱. She earned her Ph.D. in Chemical Engineering from the University of Isfahan (2020) and her M.Sc. from the University of Kashan 🏫. Her research focuses on reverse water gas shift (RWGS) and reforming reactions 🔬. Dr. Ranjbar has published extensively and presented at international conferences 🌍. She teaches reactor design, thermodynamics, and nanotechnology 📚. A recognized exceptional talent, she ranked 3rd in her Ph.D. program 🏅. Her interests include nanotechnology, heterogeneous catalysts, and lithium-ion batteries 🔋.

Publication Profile

google scholar

Education

Assist. Prof. Dr. Atieh Ranjbar holds a Ph.D. in Chemical Engineering 🎓 from the University of Isfahan (2012-2020, GPA: 18.12/20), where her research focused on Ni-based nano-catalysts in reverse water gas shift reactions ⚗️. She earned her M.Sc. from the University of Kashan (2008-2011, GPA: 18.91/20), investigating the effect of Al2O3 to CaO ratios on nickel catalysts for dry reforming 🌡️. Dr. Ranjbar completed her B.Sc. in Chemical Engineering at the same university (2004-2008, GPA: 16.24/20). Her expertise lies in catalysis, nanomaterials, and advanced chemical processes, contributing significantly to the field of chemical engineering 🔬.

Experience

Assoc. Prof. Dr.atieh ranjbar is a distinguished chemical engineer specializing in fluid mechanics, heat transfer, and thermodynamics 🌡️📊. He teaches at Tafresh University and lectures at Qom and Hormozgan universities. His Ph.D. focused on Ni-promoted nanocatalysts for CO2 conversion into valuable chemicals 🌱⚙️. His research enhances CO2 recycling efficiency through nanocatalysts, boosting RWGS reaction performance. He also worked on hydrophilic nano LiMn2O4 for lithium-ion batteries 🔋 and nanocrystalline calcium aluminates for syngas production. Dr. Irankhah’s passion for innovation and teaching drives his contributions to advanced reactor design and chemical engineering education 🚀📚.

Honors and Awards

Assoc. Prof. Dr atieh ranjbar is a distinguished academic, ranked 3rd in his Ph.D. program among 10 candidates 🎓. In 2012, he was recognized as an exceptional talent and accepted as a Ph.D. candidate at the University of Isfahan 🏛️. He also achieved 3rd place in his M.Sc. program among 15 students, showcasing his dedication to excellence 📚. In 2008, he was acknowledged as an exceptional talent among 60 students and accepted into the M.Sc. program at the University of Kashan 🌟. His academic journey reflects perseverance, talent, and a passion for higher education.

Presentations

Assoc. Prof. Dr atieh ranjbar has made significant contributions to chemical engineering through various oral and poster presentations 🎓🧪. He has presented at prestigious events like the International Chemical Engineering Congress (IChEC), discussing topics such as Ni-Fe catalysts on nano-Al2O3 for reverse water gas shift reactions (2018) and heat transfer in non-Newtonian fluids (2014) 🌡️🔬. His poster presentations at the National Applied Chemistry Congress (2019) explored Ni nanocatalysts and K-promoted alumina catalysts in key catalytic reactions ⚙️. His work emphasizes methane reforming, calcium aluminates, and nanocatalysts, reflecting his expertise in advanced materials and chemical processes 🌍🔥.

Research Focus

Assoc. Prof. Dr atieh ranjbar research focuses on developing advanced nickel-based catalysts for methane reforming and CO2 utilization 🔬🌱. His work explores catalyst support materials like nanocrystalline MgO, CaO, and Al2O3 to enhance efficiency in processes like dry reforming and the reverse water-gas shift reaction ⚙️🔥. By synthesizing catalysts with high surface areas and unique morphologies, he contributes to cleaner energy solutions and CO2 mitigation 🌍♻️. His studies also investigate the role of rare earth and alkali metals in boosting catalytic performance, reflecting a dedication to sustainable hydrogen production and greenhouse gas reduction 🚀🌐.

Publication Top Notes

Preparation of nickel catalysts supported on CaO. 2Al2O3 for methane reforming with carbon dioxide

Autothermal reforming of methane over Ni catalysts supported on nanocrystalline MgO with high surface area and plated-like shape

Reverse water gas shift reaction and CO2 mitigation: nanocrystalline MgO as a support for nickel based catalysts

Dry reforming reaction over nickel catalysts supported on nanocrystalline calcium aluminates with different CaO/Al2O3 ratios

Low temperature synthesis of nanocrystalline calcium aluminate compounds with surfactant-assisted precipitation method

Catalytic activity of rare earth and alkali metal promoted (Ce, La, Mg, K) Ni/Al₂O₃ nanocatalysts in reverse water gas shift reaction

Effect of MgO/Al2O3 ratio in the support of mesoporous Ni/MgO–Al2O3 catalysts for CO2 utilization via reverse water gas shift reaction

Malykhina Galina | Engineering and Technology | Best Researcher Award

Posted on 09/11/202409/11/2024 by ScienceFather

Malykhina Galina | Engineering and Technology | Best Researcher Award

Prof. Dr Malykhina Galina, Graduate School of Cyber-Physical Systems Control, Institute of Computer Science and Cybersecurity, Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg, Russia

🌐 Prof. Dr. Galina Malykhina is a distinguished Doctor of Engineering Sciences and Professor at the Higher School of Computer Technologies and Information Systems, Peter the Great St. Petersburg Polytechnic University. After earning her degree in Technical Cybernetics, she advanced to research, specializing in radioisotope measurement for oil, UAV automation, and medical devices 🤖💼. She has guided 8 PhD and 1 doctoral thesis, authored 182+ publications, and presented globally 🌍📈. Honored as a distinguished professor, her courses cover computing networks, cybersecurity, and programming, with recent work on neural networks for industry applications 🧠📡.

Publication profile

Orcid

Academic and Professional Background

Prof. Dr. Galina Fedorovna Malykhina is a distinguished Doctor of Engineering Sciences and Professor at Peter the Great St. Petersburg Polytechnic University (SPbPU). 🌟 With a career beginning as an engineer in Technical Cybernetics, she has advanced to leadership roles in academia and research. Her expertise is backed by a Ph.D. and doctoral degree in Information, Measuring, and Control Systems. 📚🔧 Throughout her career, Prof. Malykhina has contributed significantly to various high-impact areas in engineering, becoming a recognized leader in her field. Her dedication continues to shape the future of engineering education and research. 🏫🔬

Mentorship and Academic Contributions

Prof. Dr. Malykhina has made significant contributions to academia, particularly in mentorship and research. She has supervised numerous research theses, guiding eight candidate dissertations and one doctoral dissertation. Her dedication to shaping future researchers has solidified her role as both an educator and a researcher. Through her mentorship, she fosters academic growth, ensuring that her students are equipped to succeed in their fields. Her influence extends beyond research, nurturing a new generation of scholars who will continue her work and contribute to the academic community. 🧑‍🏫📚🎓👩‍🔬📖

Recognition

Prof. Dr. Malykhina has an impressive academic record with 182 publications in the Russian Science Citation Index (RSCI), including 73 core publications and 21 indexed in Scopus and Web of Science 📚🌐. Her contributions to research and academia have earned her the prestigious title of “Honored Professor of SPbPU” 🏅, as well as a jubilee medal from SPbPU, recognizing her outstanding impact in her field 🏆. Her work continues to inspire and shape the academic community, reflecting her dedication and excellence in research and education 👩‍🏫✨.

Educational Impact and International Reach

Dr. Malykhina has made significant contributions to education by teaching a wide range of courses, from Information Security to Digital Image Processing, for both Russian and international students. Her expertise and dedication to advancing knowledge have earned her opportunities to present her research at numerous international and national conferences. These engagements have allowed her to expand the global reach of her work, bridging academic communities worldwide. Dr. Malykhina’s commitment to education and research has not only enriched her students’ learning experiences but has also made valuable contributions to the global scientific dialogue. 🎓🌍💻📊

Research focus

Prof. Dr. Galina Malykhina’s research focus lies at the intersection of signal processing, machine learning, and mathematical modeling. Her work includes developing advanced techniques like wavelet cross-correlation for two-phase flow control systems in oil well production, and applying physics-informed neural networks (PINNs) to solve complex problems in chemical reactor modeling. She has contributed to methods that solve parameterized singular perturbation problems, leveraging physics-based neural network approaches. Her research also explores the integration of analytical modifications with numerical methods for better process modeling in various industrial applications. 📊🔬💻⚙️

Publication top notes

Wavelet Cross-Correlation Signal Processing for Two-Phase Flow Control System in Oil Well Production

Constructing Physics-Informed Neural Networks with Architecture Based on Analytical Modification of Numerical Methods by Solving the Problem of Modelling Processes in a Chemical Reactor

Physics-Based Neural Network Methods for Solving Parameterized Singular Perturbation Problem

conclusion

Prof. Dr. Galina Malykhina’s extensive background in engineering, impactful research contributions, role in mentoring emerging researchers, recognized publication record, and global academic engagement establish her as a highly deserving candidate for the Research for Best Researcher Award. Her work demonstrates the qualities of a leading researcher committed to both innovation and education in her field.

Fabrizio Stefani | Engineering and Technology | Best Researcher Award

Posted on 28/09/202428/09/2024 by ScienceFather

Fabrizio Stefani | Engineering and Technology | Best Researcher Award

Dr Fabrizio Stefani, University Of Genoa, Italy

Based on Dr. Fabrizio Stefani’s qualifications, he would indeed be a strong candidate for a Best Researcher Award. Here’s an evaluation of his accomplishments and how they align with such an award:

Publication Profile

Orcid

Research and Professional Experience

Dr. Stefani has over 16 years of experience as a full researcher at the University of Genoa. His focus areas include Machine Design, Structural Mechanics, Finite Element Analysis (FEA), and Tribology. His technical skills in finite element software development (FEMLub 123) for industrial applications demonstrate an ability to bridge theoretical research with real-world solutions, particularly in partnership with leading Italian companies like Ansaldo Energia and Fincantieri.

Scientific Contributions

Dr. Stefani has made substantial contributions to the field of mechanical engineering, as evidenced by his numerous publications, including those on torsional-lateral vibrations and stress analysis in large-deformation finite element methods. His work is published in reputable journals, such as Tribology International, Proceedings of the Institution of Mechanical Engineers, and Energies.

Teaching and Leadership

In addition to his research, Dr. Stefani has a long teaching history, covering a wide array of subjects such as Ship Drawing, Industrial Drawing, and Mechanical Design at both bachelor’s and master’s levels. His leadership extends to the coordination of research projects, highlighting his organizational competence and ability to mentor future engineers.

Peer Review and Recognition

His role as a reviewer for several prestigious journals like Tribology International and Scientific Reports underscores his recognition as a subject-matter expert. This also reflects his contributions to advancing research quality globally.

Technical Expertise

Beyond his academic work, Dr. Stefani has advanced programming skills across multiple platforms and languages, along with expertise in CAD tools like Creo and AutoCAD. His interdisciplinary knowledge, coupled with his innovative contributions, makes him highly deserving of a Best Researcher Award.

In conclusion, Dr. Stefani’s extensive research, practical applications, teaching, and leadership skills make him an exemplary candidate for the Best Researcher Award.

Publication top notes

Experimental and Numerical Analysis of Torsional—Lateral Vibrations in Drive Lines Supported by Hydrodynamic Journal Bearings

Data for the stress update assessment in large-deformation finite element analysis

Choice of the stress integration scheme for accurate large-deformation finite element analysis

Preliminary Design of a Mini Gas Turbine via 1D Methodology

Development of a new test rig for the analysis of hydrodynamic bearings for rotors of microGT

FEM Design of a Cutting-Edge Support System for Micro-GT

Design and fast verification of pocket elliptical journal bearings

Computer-aided design of pocket elliptical journal bearings, part 2: Application

Xiaolan Qiu | Engineering and Technology | Best Researcher Award

Posted on 27/09/202427/09/2024 by ScienceFather

Xiaolan Qiu | Engineering and Technology | Best Researcher Award

Prof Xiaolan Qiu, Aerospace Information Research Institute, Chinese Academy of Sciences, China

Based on the information provided, Prof. Xiaolan Qiu appears to be an outstanding candidate for the Best Researcher Award. Here are key reasons for this recommendation, formatted with paragraph headings for clarity:

Publication profile

google scholar

Academic Qualifications

Prof. Qiu holds a Ph.D. in Signal and Information Processing from the Graduate School of the Chinese Academy of Sciences. Her doctoral research focused on advanced imaging algorithms for bistatic Synthetic Aperture Radar (SAR), demonstrating her deep understanding of complex signal processing.

Research Experience

With extensive experience in spaceborne SAR data processing, Prof. Qiu has been involved in significant projects since 2006. She played a critical role in developing data processing systems for China’s first SAR satellite, CRS-1, and has led teams responsible for various SAR satellites, including Gaofen-3. Her current leadership in managing data processors for upcoming SAR satellites underscores her pivotal role in advancing SAR technology.

Publications and Contributions

Prof. Qiu has a robust publication record, contributing to various journals such as IEEE Transactions on Geoscience and Remote Sensing. Her works on bistatic SAR algorithms, SAR image analysis, and polarimetric data processing are highly cited and reflect her contributions to the field of remote sensing. Notable papers include “An improved NLCS algorithm with capability analysis for one-stationary BiSAR” and “Focusing of medium-earth-orbit SAR with advanced nonlinear chirp scaling algorithm.”

Awards and Recognitions

Prof. Qiu has received several prestigious awards, including the Outstanding Scientific and Technological Achievement Award from the Chinese Academy of Sciences in 2016 and the Wang Kuancheng Education Foundation award for Outstanding Woman Scientists in 2010. These honors signify her influence and recognition in the scientific community.

Leadership and Collaboration

As a deputy director of the Key Laboratory of GIPAS at the Institute of Electronics, Chinese Academy of Sciences, Prof. Qiu demonstrates strong leadership in guiding research initiatives and fostering collaboration within the academic and scientific communities. Her role as a project leader for SAR data processing and analysis showcases her ability to manage complex research projects effectively.

Conclusion

Prof. Xiaolan Qiu’s impressive educational background, extensive research experience, high-impact publications, numerous accolades, and leadership in significant research projects make her a highly deserving candidate for the Best Researcher Award. Her contributions not only advance the field of signal and information processing but also enhance the capabilities of SAR technology in various applications.