Sofiene Mansouri | Engineering and Technology | Best Researcher Award

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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

Ayat-Allah Bouramdane | Engineering and Technology | Best Researcher Award

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Ayat-Allah Bouramdane | Engineering and Technology | Best Researcher Award

Assist. Prof. Dr Ayat-Allah, Bouramdane International University of Rabat, Morocco

Assist. Prof. Dr. Ayat-Allah Bouramdane is a passionate academic in renewable energy, currently an Assistant Professor at the International University of Rabat (IUR). He previously led the Modeling Group at GEP-IRESEN-UM6P, establishing impactful research on climate change and energy systems. With a Ph.D. from the Institut Polytechnique de Paris, his work focuses on large-scale solar and wind integration, energy storage, and climate change. Dr. Bouramdane has contributed significantly to publications and international reports on smart cities and energy systems. He’s recognized for his research excellence, earning multiple awards, including Best Researcher in 2023 and 2024. 🌍⚡📚🏆

Publication Profile

Google Scholar

Academic Background

Assist. Prof. Dr. Ayat-Allah Bouramdane holds a Ph.D. from the Institut Polytechnique de Paris (IP Paris), where he researched large-scale solar and wind integration in Morocco, focusing on storage, cost, complementarity, and climate change impacts. He completed his thesis at the Laboratoire de Météorologie Dynamique (LMD) and contributed to the Energy4Climate Interdisciplinary Center (E4C). He earned a Master’s in Energy Environment from École Polytechnique with a GPA of 3.68/4 and a Bachelor’s in Energy Engineering from Université Internationale de Rabat. Dr. Bouramdane also studied at the University of Lorraine and completed his high school with honors. 🌞⚡🌍🎓

Experiences

Assist. Prof. Dr. Ayat-Allah has been serving as an Assistant Professor (Grade A) at the International University of Rabat (IUR) since April 2023, working in the Laboratory of Renewable Energies and Advanced Materials (LERMA) in the College of Engineering and Architecture. Previously, he was a Postdoctoral Researcher and Head of the Modeling Group at the Green Energy Park (GEP), Mohammed VI Polytechnic University, from January to October 2022, where he established the “Climate Change – Energy” group. He also supervised student projects and coordinated research in collaboration with OCP, UM6P, and IRESEN. Earlier, he completed his doctoral studies at l’X – IP Paris. 🌍💡📚

Awards and Recognitions

Assist. Prof. Dr. Ayat-Allah Bouramdane is an accomplished researcher recognized for his contributions to energy systems and sustainability. He contributed to REN21’s Renewables 2024 Global Status Report in both the “Energy Supply” and “Energy Systems & Infrastructure” modules 🌍. He has received multiple accolades, including the Best Researcher Award in 2023 and 2024 🏆. He’s a trusted reviewer with IOP Publishing, and an active member of various organizations such as the Canadian-French Association for the Advancement of Science 🇨🇦 and Women in Green Hydrogen 🌱. Additionally, he serves on multiple editorial boards and scientific committees 📚🔬.

Teaching and Mentorship

Assist. Prof. Dr. Ayat-Allah Bouramdane is a respected academic with a strong track record in teaching and supervising students at prestigious institutions. His dedication to mentoring future engineers and researchers is evident through his active involvement in academic development. Dr. Bouramdane regularly leads technical conferences and workshops, where he plays a crucial role in keeping students updated on the latest challenges and advancements in energy and climate science. His contributions have helped shape the next generation of professionals in these critical fields. 🌱🔋📚🌍💡

Scientific Magazine

Assist. Prof. Dr. Ayat-Allah Bouramdane is a recognized expert in sustainable energy solutions. His works explore various aspects of energy transition, such as the role of critical materials in electric vehicle batteries 🚗🔋, the impact of green hydrogen on Africa’s energy future 🌍💧, and the optimization of hydrogen value chains using digital twins for smart grids ⚡🤖. He has also delved into AI’s role in mitigating climate change effects on agriculture 🌾🌱 and urban water use for sustainable cities 🌆💦. Dr. Bouramdane’s contributions span hydrogen technologies, AI applications, and energy resilience, with a focus on global sustainability and innovation 🌿🌍.

Research Focus

Assist. Prof. Dr. Ayat-Allah Bouramdane’s research focuses on optimizing energy systems, environmental sustainability, and cybersecurity in smart cities. He explores challenges in smart grid cybersecurity, including artificial intelligence for decision-making. His work on water management strategies aims to promote sustainability in urban settings. Additionally, Dr. Bouramdane investigates renewable energy integration, particularly solar and wind power, with a focus on Morocco. He also assesses climate change impacts, analyzing temperature and drought patterns using climate models. His multi-criteria decision-making frameworks are applied to areas like photovoltaic site suitability and offshore wind energy. 🌍💡🔋🌱🔐

Publication Top Notes

Cyberattacks in smart grids: challenges and solving the multi-criteria decision-making for cybersecurity options, including ones that incorporate artificial intelligence, using …

Optimal water management strategies: paving the way for sustainability in smart cities

Assessment of CMIP6 multi-model projections worldwide: which regions are getting warmer and are going through a drought in Africa and Morocco? What changes from CMIP5 to CMIP6?

Scenarios of large-scale solar integration with wind in Morocco: impact of storage, cost, spatio-temporal complementarity and climate change

Adequacy of renewable energy mixes with concentrated solar power and photovoltaic in Morocco: Impact of thermal storage and cost

Identifying large-scale photovoltaic and concentrated solar power hot spots: Multi-criteria decision-making framework

Site suitability of offshore wind energy: A combination of geographic referenced information and analytic hierarchy process

Sandeep Jain | Engineering and Technology | Best Researcher Award

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Sandeep Jain | Engineering and Technology | Best Researcher Award

Dr Sandeep Jain, Sungkyunkwan University, Republic of Korea, South Korea

Dr. Sandeep Jain is a metallurgical engineer and researcher with expertise in machine learning applications in alloy design, lightweight materials, and high-entropy alloys. He holds a Ph.D. (2023) and M.Tech. (2017) from IIT Indore and a B.E. in Mechanical Engineering (2013). Currently a Postdoctoral Researcher at Sungkyunkwan University, South Korea, Dr. Jain focuses on designing multicomponent alloys and optimizing manufacturing processes. He has published extensively, including works on machine learning-driven phase prediction and flow stress modeling. Dr. Jain is a guest editor, reviewer for leading journals, and recipient of prestigious awards like the Global Best Achievement Award 2024. 🧪🤖🌍

Publication Profile

Orcid

Education

Dr. Sandeep Jain is a dedicated scholar with a robust academic background in engineering. 🎓 He earned his Ph.D. (2017-2023) and M.Tech (2015-2017) in Metallurgical Engineering and Materials Science from the prestigious Indian Institute of Technology Indore, achieving impressive CGPAs of 8.67 and 8.75, respectively. 📘✨ His journey in engineering began with a B.E. in Mechanical Engineering from MBM Engineering College, Jodhpur (2009-2013), where he secured a commendable 68% score. 🔧📚 Dr. Jain’s academic excellence reflects his passion for materials science and mechanical engineering, laying a solid foundation for impactful contributions to his field. 🚀🔬

Research Experience

Dr. Sandeep Jain, currently a Postdoctoral Researcher at Sungkyunkwan University, South Korea 🇰🇷, specializes in designing lightweight multicomponent alloys and optimizing injection molding processes using machine learning 🤖. As a Research Associate at IIT Delhi 🇮🇳, he analyzed the mechanical and creep behavior of Ni-based superalloys and pioneered sustainable rose gold plating methods 🌟. His tenure at IIT Indore included designing lightweight Ni-based alloys and conducting advanced phase equilibria studies 🔬. Dr. Jain’s expertise extends to simulation tools like ANSYS Fluent, XRD, and EBSD, contributing to innovative and sustainable material development 🌍.

Teaching Experience

Dr. Sandeep Jain has an extensive teaching background in materials science and engineering. As a Teaching Assistant at the Indian Institute of Technology Indore (Dec 2017–Nov 2022 and July 2015–June 2017), he contributed to courses like Solidification and Phase Field Modelling, Computational Methods for Materials, and Physical Metallurgy. His expertise also spans practical modules, including Mechanical Workshop, Casting and Welding Lab. Earlier, he served as a Guest Faculty at Govt. Engineering College, Ajmer (Aug 2013–June 2014), teaching Material Science, Engineering Mechanics, Strength of Materials, and more. Dr. Jain’s dedication to education blends technical knowledge with hands-on experience. 🎓🛠️📚

Awards / Fellowships

Dr. Sandeep Jain has earned prestigious accolades for his outstanding achievements in academia and research. In 2024, he was honored with the Global Best Achievement Awards 🎖️🌟, recognizing his contributions to his field. His academic journey has been supported by prestigious fellowships, including the Ph.D. Fellowship 🧑‍🎓📚 and the M.Tech. Fellowship 🎓🔬, both awarded by the Ministry of Human Resource Development (MHRD), Government of India. These honors highlight his dedication, innovation, and excellence in advancing knowledge and contributing to societal progress. Dr. Jain’s achievements continue to inspire and set benchmarks for aspiring scholars worldwide. 🚀📖

Research Focus

Dr. Sandeep Jain’s research focuses on the development and application of machine learning techniques to predict mechanical properties in lightweight alloys and high entropy alloys. His studies include hardness prediction, flow stress, phase prediction, and the influence of processing methods like friction stir processing. These investigations aim to enhance the performance of advanced materials such as Al-Mg-based alloys and CoCrFeNiV high entropy alloys. His work bridges the gap between experimental studies and computational simulations, contributing valuable insights into alloy design and optimization. 🌟🔍📊

Publication Top Notes

A Machine Learning Perspective on Hardness Prediction in Advanced Multicomponent Al-Mg Based Lightweight Alloys

A Machine learning perspective on hardness prediction in multicomponent Al-Mg based lightweight alloys

Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques

Influence of Friction Stir Processing on Novel Designed Aluminium-Based Alloy to Enhance Strength and Ductility

Machine learning-driven insights into phase prediction for high entropy alloys

Effect of Ta on the Evolution of Phases and Mechanical Properties of Novel Seven Components Fe–Co–Ni–Cr–V–Al–Ta Eutectic High Entropy Alloys: Experimental Study and Numerical Simulation

Yingchun Xie | Engineering and Technology | Best Researcher Award

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Yingchun Xie | Engineering and Technology | Best Researcher Award

Prof Yingchun Xie, College of Engineering, Ocean University of China, China

Prof. Yingchun Xie is a Full Professor at the Faculty of Engineering, Ocean University of China. She specializes in the safety of new energy ships and the environmental adaptability of marine equipment. With over 20 research projects funded by the National Natural Science Foundation of China, Prof. Xie has published 40+ papers, 2 monographs, and holds 30 patents. She has won several prestigious awards, including the Science and Technology Progress Prize of Shandong Province. She has an H-index of 45 and actively contributes to academic conferences and collaborative research. 🌊🚢🔬📚🎓

Publication Profile

Scopus

Education & Experience

Dr. Yingchun Xie is a Full Professor at the Faculty of Engineering, Ocean University of China, specializing in the safety of new energy ships and the environmental adaptability of offshore equipment. Over the years, she has led two National Natural Science Foundation of China-funded projects and managed over 20 scientific research endeavors. Her impressive work includes over 40 academic papers, two monographs, and more than 20 authorized patents. Dr. Xie has received notable honors, including the First Prize for Science and Technology Progress in Shandong Province and the Qingdao Youth Science and Technology Award. 🚢🔬📚🏆🧑‍🔬

Research

Prof. Yingchun Xie has made significant contributions to research with 24 completed and ongoing projects. With 637 citations across Scopus, Web of Science, and other databases, he has authored 3 books and 46 journal publications in SCI and SCIE-indexed journals. His work has led to 30 patents, and he has delivered 10 invited talks. Prof. Xie has successfully supervised 19 research scholars and currently guides 18 others. He has organized 10 conferences/workshops and holds 5 functional MoUs with universities and industries. A member of 18 professional bodies, he has received 11 awards, demonstrating his dedication to advancing research. 📚🔬🌍👨‍🏫🎓

Research & Development

Dr. Yingchun Xie is a leading expert in the safety of new energy ships and the environmental adaptability of marine engineering equipment. With over 20 research projects, including National Natural Science Foundation tasks, she has tackled various technical challenges, contributing significantly to the industry’s technical advancement. Driven by innovation, Dr. Xie bridges cutting-edge academic research with practical engineering applications, promoting the development of relevant professional theories. Her research achievements have earned her recognition at academic and industry events, enhancing her university’s visibility and attracting resources to advance the field of new energy ships and marine equipment. 🚢🔬🌱🌊📚

Research Focus

Prof. Yingchun Xie’s research primarily focuses on marine and energy systems, with an emphasis on advanced technologies for hydrogen energy, acoustic emission monitoring, and underwater engineering. His work on hydrogen diffusion and sensor strategies in marine engine rooms is pivotal for improving safety and energy efficiency in maritime applications 🚢💡. He also explores deep learning methods for methane plume detection using optical imaging 🧠📸 and hydrodynamic characteristics of underwater gas storage devices 🌊🔋. Additionally, Prof. Xie is involved in the thermodynamic and economic analysis of energy systems, including combined cooling, heating, and power systems 🔥💨. His diverse research combines ocean engineering, energy storage, and marine technologies.

Publication Top Notes

Research on hydrogen diffusion and sensor arrangement strategy in a marine engine room

FMAW-YOLOv5s: A deep learning method for detection of methane plumes using optical images

Near-field acoustic emission source localization method based on orthogonal matching pursuit under nonuniform linear array

Numerical simulation and experimental study of hydrodynamic characteristics of inverted-droplet underwater gas storage devices

Thermodynamic and economic analysis of the combined cooling, heating, and power system coupled with the constant-pressure compressed air energy storage

Grabbing Path Extraction of Deep-Sea Manganese Nodules Based on Improved YOLOv5

Study on the impact of wave characteristics on the performance of full-scale tidal turbine

An improved near-field weighted subspace fitting algorithm based on niche particle swarm optimization for ultrasonic guided wave multi-damage localization

 

 

Iveta Kubasakova | Tech Innovations | Women Researcher Award

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Iveta Kubasakova | Tech Innovations | Women Researcher Award

Assist. Prof. Dr Iveta Kubasakova, University of Zilina, Slovakia

Assist. Prof. Dr. Iveta Kubasáková is an Associate Professor at the University of Žilina, Slovakia, specializing in transportation logistics, warehouse management, logistics systems, and technologies. She has a PhD in Transport and Communications Technology from the same university. Dr. Kubasáková has extensive experience in teaching and research, contributing to bachelor’s, master’s, and doctoral programs, and publishing widely on topics like logistics automation and risk management in transport. She has co-authored several open-access papers, including works on automated guided vehicles and warehouse optimization. Her expertise also includes customs disputes and logistics management. 📚🚚📦🔧

Publication profile

Scopus

Education 

Assist. Prof. Dr. Iveta Kubasakova is an expert in Communications Technology, with a strong academic foundation, including an Ing. (Engineer) degree in Road Transport Operation and Economics from the University of Žilina. Her multidisciplinary background uniquely combines technical expertise in communications and the practical knowledge of transportation economics, making her a valuable asset in both fields. Dr. Kubasakova’s work bridges the gap between advanced communication technologies and the economic aspects of road transport, contributing significantly to both academic and applied research. 📚🎓💻🚗

Experience

Assist. Prof. Dr. Iveta Kubasakova has been a dedicated educator at the University of Žilina since 2006, progressing from professional assistant to associate professor. With over 18 years of teaching experience, she has made significant contributions in logistics, warehouse management, and transport systems. Her expertise in these fields is complemented by her involvement in research and development, where she focuses on improving operational efficiency and innovative solutions. Her work has made a lasting impact in academia and the industry. 💼📊🚚📚

Research focus

Iveta Kubasaková’s research primarily focuses on logistics, automation, and transportation systems, with a particular emphasis on improving efficiency and safety in supply chain management. Her work often explores the integration of advanced technologies like automated guided vehicles (AGVs), autonomous mobile robots (AMRs), and barcode systems to enhance warehouse operations, production halls, and transport processes. Additionally, she investigates the impact of the COVID-19 pandemic on logistics and criminal activity within transportation systems. Kubasaková’s research also delves into risk assessment, distribution optimization, and the application of technological solutions for reducing human error and improving operational performance. 📦🤖🚚📈

Publication top notes

Utilization of the intersection of ABC and XYZ analysis in stock planning in the warehouse by Covid period

Application of Technological Procedure Automated Guided Vehicles in the Production Hall of a Company Due to Increasing the Automation—Case Study

Implementation of Automated Guided Vehicles for the Automation of Selected Processes and Elimination of Collisions between Handling Equipment and Humans in the Warehouse

Implementation of Barcode Technology to Logistics Processes of a Company

The case study of international transport by the freight forwarder in france

Conclusion

Assist. Prof. Dr. Iveta Kubasáková stands out as an exceptional candidate for the Women Researcher Award due to her impressive blend of academic excellence, groundbreaking research, and practical contributions to logistics technology. With a strong academic foundation, Dr. Kubasáková has significantly advanced the field, tackling key challenges in logistics management and technology integration. Her work not only enriches academic knowledge but also drives real-world applications, benefiting industries and improving efficiency. Her dedication to innovation, combined with her expertise and leadership, makes her a role model in her field, deserving of this prestigious recognition. 🏆📚🚀