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

Taşkın Deniz Yıldız | Engineering and Technology | Best Researcher Award

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Taşkın Deniz Yıldız | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Taşkın Deniz Yıldız, Adana Alparslan Türkeş Science and Technology University, Department of Mining Engineering, Turkey

Assoc. Prof. Dr. Taşkın Deniz Yıldız is a distinguished academic specializing in mining engineering and law. With a Ph.D. from Istanbul Technical University 🎓, he has extensive expertise in mining legislation, mineral economics, cost analysis, land use, and mining waste management. As an Associate Professor at Adana Alparslan Türkeş Science and Technology University 🏛️, he has authored over 85 academic publications, including 23 SCI-indexed articles 📑. His work has earned prestigious awards like TÜBİTAK Academic Incentive Awards (2022-2024) 🏆 and international research recognitions 🌟. Dr. Yıldız is also an editor for multiple journals and a strong advocate for sustainable resource management 🌱.

Publication Profile

Google Scholar

Orcid

Scopus

Education

Assoc. Prof. Dr. Taşkın Deniz Yıldız is a distinguished scholar with a multidisciplinary background. He completed his BSc in Mining Engineering at Istanbul University (2005-2009) and advanced his expertise with MSc (2009-2012) and PhD (2012-2020) degrees at Istanbul Technical University, earning impressive GPAs of 3.50 and 3.69, respectively. Simultaneously, he pursued legal studies, obtaining an Associate Degree in Law from Anatolia University (2012-2014) and a BSc in Law from Istanbul Beykent University (2014-2016) with honors. An alumnus of Haydarpaşa Anatolia High School (1998-2002), Dr. Yıldız consistently excelled academically, achieving numerous honors and distinctions. 🌟📘⚒️⚖️🎓

Research Impact

Assoc. Prof. Dr. Taşkın Deniz is a prolific researcher with 85 academic publications, including 23 articles indexed in SCI/SSCI/SCIE, 17 of which appear in prestigious Q1 journals. 📚✨ He has also contributed to books and conference proceedings, showcasing his dedication to advancing knowledge. 📖🔬 His research focuses on crucial topics such as mining legislation, waste management, land use, and environmental sustainability. ⛏️🌱♻️ Dr. Deniz’s work addresses significant global challenges, emphasizing sustainable practices and responsible resource management. 🌍✅ His expertise and impactful studies make him a vital contributor to both academic and practical solutions in environmental and mining sciences.

Editorial Contributions

Assoc. Prof. Dr. Taşkın Deniz Yıldız has made significant contributions to academia, particularly in his field of expertise 🌟📚. With his leadership and dedication, he has served in various editorial roles for prominent journals, demonstrating his commitment to advancing scholarly research ✍️📰. His editorial responsibilities highlight his deep knowledge and ability to guide impactful publications, shaping the direction of academic discourse 📖🔬. Dr. Yıldız’s active engagement in these roles reflects his excellence and recognition as a leader in his domain, inspiring peers and students alike 🌟🎓. His work continues to leave a lasting mark on his field. 🌟📑

Awards

Assoc. Prof. Dr. Taşkın Deniz has earned prestigious accolades for his exceptional research and leadership. 🌟 He received the Best Researcher Award from ScienceFather’s International Research Award and Honors (2024) 🏆 and the Outstanding Scientist Award at the International Research Awards on Leadership and Management (2023) 🌍. His groundbreaking work also garnered the Best Researcher Award (2022) and the Best Research Award at SHEN 2021, approved by India’s Ministry of Corporate Affairs. 🇮🇳✨ Additionally, Dr. Deniz earned TÜBİTAK Academic Incentive Awards in 2024 (25,000 TL), 2023 (15,000 TL), and 2022 (10,000 TL). 💡🎖️

Research Focus

Dr. T.D. Yıldız’s research focuses primarily on the environmental and economic aspects of mining operations in Turkey, particularly regarding waste management, land acquisition, and the impact of legislation. His work addresses the costs of waste management in mining companies and explores the potential of waste recovery to mitigate these costs. He also evaluates the effects of the Environmental Impact Assessment (EIA) procedures on the mining sector and analyzes the financial implications of forestland use and private land acquisition during mining operations. His contributions aim to improve sustainable practices in the mining industry. 🌍💰🌱⚒️

Publication Top Notes

Waste management costs (WMC) of mining companies in Turkey: can waste recovery help meeting these costs?

Evaluation of Forestland Use in Mining Operation Activities in Turkey in terms of Sustainable Natural Resources

The Impacts of EIA Procedure on the Mining Sector in the Permit Process of Mining Operating Activities & Turkey Analysis

Effects of the Private Land Acquisition Process and Costs on Mining Enterprises before Mining Operation Activities in Turkey

The share of required costs in investment amounts for mining operating activities in pasture lands in Turkey

The effects of the mining operation activities permit process on the mining sector in Turkey

Forest fees paid to permit mining extractive operations on Turkey’s forestlands & the ratio to investments

 

Abdul Aziz | Computer Science and Artificial Intelligence | Best Researcher Award

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Abdul Aziz | Computer Science and Artificial Intelligence | Best Researcher Award

Mr Abdul Aziz, Khulna University of Engineering & Technology, Bangladesh

🧑‍🏫 Abdul Aziz is an Assistant Professor at Khulna University of Engineering & Technology (KUET), specializing in computer science and engineering. With a passion for deep learning 🤖, fuzzy logic, and smart city innovations 🌆, he has presented at major conferences like ICCIT and BIM. A recipient of the Vice-Chancellor Award 🏅 and a University Gold Medalist 🥇, Abdul’s research focuses on AI-driven solutions for real-world problems. His notable works include danger detection for women and children and risk evaluation of hazardous chemicals. Dedicated to education and research, he inspires future engineers at KUET. 📚✨

Publication Profile

Scopus

Academic Qualifications

Mr. Abdul Aziz is an accomplished computer science professional with a strong academic background 🎓. He earned his Master of Science in Computer Science & Engineering from Khulna University of Engineering & Technology (KUET) in 2022, achieving a CGPA of 3.75/4.00 💻. Previously, he completed his Bachelor of Science at KUET in 2017 with an outstanding CGPA of 3.92/4.00, securing 1st place among 59 students and topping the EEE Faculty 🏆. His academic journey began at Shahid Syed Nazrul Islam College, where he completed his Higher Secondary Certificate in 2012 📚. Abdul Aziz exemplifies dedication and excellence in his field.

Professional Experiences

Mr. Abdul Aziz is an accomplished academic in computer science, currently serving as an Assistant Professor at Khulna University of Engineering & Technology (KUET) since December 2020 🎓💻. He began his journey at KUET as an Adjunct Faculty (Lecturer) in August 2017 and later became a Lecturer from January 2018 to December 2020 📚. Prior to this, he contributed to Northern University of Business and Technology Khulna (NUBTK) as a Lecturer from July to December 2017 🏫. With a strong dedication to education and research, Mr. Aziz continues to shape future engineers and drive innovation in computer science 🚀🔍.

Achievements, Awards, and Certifications

Mr. Abdul Aziz is a distinguished academic and researcher recognized for his outstanding achievements🏅. In 2024, he received the Vice-Chancellor Award for High Impact Research Journal Publication📚. He was the University Gold Medalist in 2018 for securing 1st position in his graduating class🥇. From 2013 to 2016, Abdul earned the University Vocational Scholarship and the Dean’s Award for ranking among the top 10% of students for four consecutive years🏆. His programming skills were highlighted in 2014 when he secured 3rd place in one intra-batch contest and 1st place in another💻🥇.

Membership

Mr. Abdul Aziz is a passionate coach, mentor, and trainer in programming and technology 💻. Since 2018, he has coached 25+ teams for ICPC regionals, National Girls Programming Contests, and university competitions. He led the KUET_Effervescent team to the 48th ICPC World Finals in Astana, Kazakhstan (2024) 🏆. Aziz serves as an Associate Member of the Institution of Engineers, Bangladesh ⚙️ and reviews international conferences. As a trainer for BDSET and ITEE programs, he uplifts digital skills 📊. He also organized major events like BitFest 2019 and NHSPC, mentoring future innovators. His journey began as a debate champion 🎤.

Academic Projects

Mr. Abdul Aziz has undertaken diverse academic projects during his undergraduate studies at KUET. In his 3rd semester (2014), he developed a Java-based smart home automation desktop app 🏠💻. In the 4th semester (2014-2015), he created a medical center automation website using PHP, HTML, and MySQL for doctor-patient communication 🏥🌐. His 5th semester (2015) featured hospital DBMS design with PL/SQL and Oracle 📊. By the 6th semester (2015-2016), he built an Android app for real-time object tracking 📱🗺️ and a keypad/Bluetooth-controlled LCD display project using Arduino 📟🔷. In his final semester, he developed a 3D car racing game with C++ and OpenGL 🚗🎮.

Research Focus

Abdul Aziz’s research focuses on applying deep learning 🤖, signal processing 🎵, and fuzzy logic 🔢 to develop innovative solutions in safety, smart cities 🌆, and mobile applications 📱. His work spans danger detection for women and children 🚨, city service task distribution 🏙️, and chemical risk evaluation 🧪. Additionally, Aziz explores advanced error detection and correction in computing 💻. His contributions aim to enhance public safety, improve urban services, and boost system reliability. With publications in top-tier journals 🏆, his research bridges technology and real-world applications, fostering smarter and safer environments.

Publication Top Notes

DangerDet: A mobile application-based danger detection platform for women and children using deep learning

ShopiRound: An Android application-based e-commerce system to find products nearby using travelling salesman problem

A fuzzy logic-based risk evaluation and precaution level estimation of explosive, flammable, and toxic chemicals for preventing damages

Multi-bit error detection and correction technique using HVDK (Horizontal-Vertical-Diagonal-Knight) parity

CitySolution: A complaining task distributive mobile application for smart city corporation using deep learning

 

Abdullah Irankhah | Engineering and Technology | Best Researcher Award

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Abdullah Irankhah | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Abdullah Irankhah, University of Kashan, Iran

Assoc. Prof. Dr. Abdullah Irankhah is an expert in Chemical Engineering with a focus on catalysts, reactors, and process design. He holds degrees from Ferdowsi University and Tarbiat Modares University, specializing in gas industries, process design, and Fischer-Tropsch synthesis. He has received several accolades, including third place in the 21st Khwarizmi International Festival and multiple awards for his innovative contributions. Dr. Irankhah has guided numerous industrial research projects and written influential books on fuel cells and hydrogen technologies. He is a member of various scientific associations and has published extensively on catalytic processes and hydrogen production. 🏅🔬📚⚙️

Publication Profile

google scholar

Educational Background 

Assoc. Prof. Dr. Abdullah Irankhah is a distinguished chemical engineer with a B.Sc. from Ferdowsi University of Mashhad, an M.Sc. from Tarbiat Modares University, and a Ph.D. in Chemical Engineering from the same institution. His expertise lies in catalytic processes and reactor design, with a specific focus on Fischer-Tropsch synthesis and supercritical fluid processes. His research has significantly contributed to the development of more efficient catalytic methods and reactor designs. Through his academic and research work, Dr. Irankhah continues to advance the field of chemical engineering. 🔬⚙️🌱

Academic and Teaching

Assoc. Prof. Dr. Abdullah Irankhah is a distinguished educator in the field of chemical engineering, teaching advanced courses such as catalysis, reactor design, and process control. With a passion for both teaching and research, he has earned recognition for his contributions, receiving prestigious awards such as “Outstanding Researcher” and “Outstanding Educator” at Kashan University. His dedication to advancing knowledge in chemical engineering and nurturing future professionals has made a significant impact in academia. 🏆🎓⚙️💡

Research Achievements 

Dr. Irankhah’s research focuses on catalytic processes, hydrogen production, and reactor design, with several notable publications in high-impact journals. His groundbreaking work on Fischer-Tropsch synthesis has provided valuable insights into catalysis, advancing the chemical engineering field. Additionally, Dr. Irankhah has made significant contributions to microreactor design, enhancing the efficiency and scalability of chemical reactions. His innovative approaches in these areas continue to shape advancements in sustainable energy and industrial processes. 🌱⚗️💡📚

Awards and Honors 

Dr. Irankhah has earned numerous prestigious accolades throughout his career. He secured third place at the 21st Khwarizmi International Festival 🏆 and was awarded “Best Innovative Design” at the Car-e-Chem competition in Spain 🇪🇸. These accomplishments highlight his exceptional creativity and expertise. In addition to his awards, Dr. Irankhah is an active member of various renowned scientific organizations, contributing to the advancement of his field 🌍🔬. His achievements reflect a commitment to innovation, excellence, and continuous growth in the scientific community. 👏🌟

Research Focus

Assoc. Prof. Dr. Abdullah Irankhah’s research focuses on hydrogen energy, catalysis, and environmental chemical engineering. He investigates hydrogen generation, ethanol steam reforming, and reverse water gas shift reactions, often utilizing advanced catalysts like nickel, ceria, and magnesium-based materials. His work also explores CO2 mitigation, fuel cell technologies, and catalytic reactions for hydrogen purification. His expertise includes reaction kinetics, catalyst performance, and the development of novel materials for energy production and environmental sustainability. His contributions aim to improve energy efficiency and environmental impact, addressing key challenges in renewable energy and carbon reduction. 🔋💨🔬🌱

Publication Top Notes

Hydrogen generation using activated aluminum/water reaction

Cu, Mg and Co effect on nickel-ceria supported catalysts for ethanol steam reforming reaction

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

NiFe2O4 Spinel Protection Coating for High-Temperature Solid Oxide Fuel Cell Interconnect Application

Medium‐Temperature Shift Catalysts for Hydrogen Purification in a Single‐Stage Reactor

Fischer-Tropsch reaction kinetics of cobalt catalyst in supercritical phase

Fischer‐Tropsch Synthesis Over Co‐Ru/γ‐Al2O3 Catalyst in Supercritical Media

Effect of Surfactants and Digestion Time on Nano Crystalline Cerium Oxide Characteristics Synthesized by Differential Precipitation

 

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

jinming zhen | Engineering and Technology | Best Researcher Award

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jinming zhen | Engineering and Technology | Best Researcher Award

Prof jinming zhen, College of Materials Science and Engineering, Liaocheng University, China

Prof. Jinming Zhen 🌟 holds an M.S. and Ph.D. from the State Key Laboratory of Solid Lubrication at the Lanzhou Institute of Chemical Physics, completed in 2014 and 2017. Currently an Associate Professor at the College of Materials Science and Engineering, Liaocheng University, he specializes in surface coatings, high-temperature tribology, and surface characterization. 🧪🔬 His recent research includes Mo elements in nickel alloy composites, biomimetic hydrogel coatings, and MoS₂/metal nanocomposites for lubrication. 📚✍️ With publications in Lubricants, Coatings, and Polymers, Prof. Zhen advances material science and engineering, contributing significantly to friction and wear technology. ⚙️✨

Publication Profile

Orcid

Educational Background

Prof. Jinming Zhen, an accomplished materials scientist, earned his M.S. and Ph.D. from the esteemed State Key Laboratory of Solid Lubrication at the Lanzhou Institute of Chemical Physics in 2014 and 2017, respectively. 🎓✨ His advanced training has provided a robust foundation in materials science, fueling his expertise in tribology and surface engineering. 🧪🔬 Prof. Zhen’s work bridges innovation and practical application, contributing to the understanding and enhancement of material surfaces. 🌟⚙️ His academic journey reflects a dedication to advancing knowledge in these specialized fields, establishing him as a prominent figure in the study of lubrication and wear resistance. 🌍📘

Academic and Professional Role

Prof. Jinming Zhen 🌟 has been an Associate Professor at the College of Materials Science and Engineering, Liaocheng University, since 2017. His academic journey is marked by notable contributions to teaching and groundbreaking research in surface coatings 🧪, high-temperature tribology 🔥, and surface characterization 🔍. Through his work, Prof. Zhen has played a pivotal role in advancing the field of materials science, fostering innovation, and mentoring future researchers 👨‍🏫📚. His dedication to excellence in both education and research exemplifies his commitment to enhancing the understanding and application of advanced materials. 🌟

Research Focus

Jinming Zhen’s research focuses on advanced materials science, specifically exploring the tribological properties of composites and coatings under varying conditions. His work emphasizes enhancing friction and wear performance in materials like nickel alloy matrix composites, biomimetic hydrogels, MoS₂/metal nanocomposites, and UHMWPE composites. Key themes include high-temperature performance, lubricant additives, and aging resistance, aimed at improving durability and efficiency in mechanical systems. With a multidisciplinary approach integrating biomimetics and nanotechnology, his contributions advance applications in aerospace, automotive, and industrial lubrication systems. 🚀⚙️🔬📄✨

Employment 

Prof. Jinming Zhen has been a dedicated teacher at Liaocheng University’s College of Materials Science and Engineering since June 2017. Based in Liaocheng, China, he specializes in educating and mentoring students in the field of materials science. With a focus on fostering innovation and excellence, he has contributed significantly to academic growth and research advancements within the department. His commitment to quality education and scientific exploration has earned him recognition among peers and students alike. Prof. Zhen continues to inspire future engineers and scientists with his passion for materials science and engineering. 🌟📚🔬✨

Publication Top Notes

Investigating Influence of Mo Elements on Friction and Wear Performance of Nickel Alloy Matrix Composites in Air from 25 to 800 °C

Biomimetic Layered Hydrogel Coating for Enhanced Lubrication and Load-Bearing Capacity

The Preparation of MoS<sub>2</sub>/Metal Nanocomposites Functionalized with N-Oleoylethanolamine: Application as Lubricant Additives

Synergistic Enhancement of the Friction and Wear Performance for UHMWPE Composites under Different Aging Times

Conclusion 🌟 

Prof. Jinming Zhen is a distinguished scholar known for his groundbreaking research in tribology and surface coatings. With an impressive academic background and innovative contributions, he has become a leader in the field. His studies focus on high-temperature applications and advanced coatings, showcasing his expertise and dedication. Prof. Zhen’s work has consistently pushed the boundaries of materials science, offering valuable insights for industries seeking enhanced performance and durability. His commitment to advancing knowledge and solving real-world challenges makes him a highly deserving candidate for the Best Researcher Award. 🏆📚🔬🛠️🌟

Malykhina Galina | Engineering and Technology | Best Researcher Award

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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. 

Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

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Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Ali Othman Albaji, Libyan Authority for Scientific Research, Libya

With a Bachelor’s in Electrical Engineering and a Master’s in Electronics & Telecommunications from Universiti Teknologi Malaysia, this accomplished professional has extensive experience in academia and industry. Currently an Assistant Professor at the Higher College of Science and Technology in Libya, they also lead CR Technology System in the MENA region. Their research interests include optical wireless technologies and machine learning applications in environmental monitoring. Fluent in Arabic and English, with a diploma in Italian, they are also the President of the Postgraduate Student Society at UTM. 📡🎓🌍✍️

Publication profile

google scholar

Academic Background 

With a diverse academic journey, the individual holds a Master’s in Public Management and Leadership from the London School of Economics (LSE), UK, completed in 2010. They further pursued a Master in Electronics and Telecommunications at the University Technology Malaysia from 2019 to 2023. Their foundational education includes a Bachelor’s degree in Electrical Engineering, specializing in General Communications, from the Civil Aviation Higher College in Tripoli, Libya, earned in 2007. Additionally, they completed a Diploma in the Italian language during the 2011/2012 academic year. 🎓📡

Experience

Dr. Ali Othman Albaji boasts a diverse work history across reputable organizations. He started as a Sales Advisor at Akida Company (LG) and ZTE/Telecom China, honing his expertise in the telecommunications field. His academic journey includes significant roles as an Assistant Professor and lecturer in Electronics and Telecommunications. In addition to his teaching, he has demonstrated leadership as the Chairman of CR Technology System (CRTS Group) and the President of the Postgraduate Student Society at Universiti Teknologi Malaysia. Dr. Albaji’s commitment to both academia and industry underscores his dedication to advancing technology and education. 📡🎓💼🌟

Main Hard Skills 

Dr. Albaji possesses a robust set of technical skills, including proficiency in CAD Design, MATLAB Simulation Analysis, Python, and data visualization tools like Tableau. His capabilities extend to qualitative and quantitative analysis, SCADA systems, and programming languages like Verilog and HTML. These skills enable him to tackle complex research problems and contribute innovatively to his field. 

Languages 

Fluent in Arabic and English, with an IELTS Band Score of 8.5, Dr. Albaji also has a very good command of Italian. This linguistic proficiency allows him to collaborate with international researchers and disseminate his work to a broader audience. 

Research focus

Ali Othman Albaji’s research focus centers on machine learning applications in environmental noise classification, emphasizing smart cities and mobile communications. His work includes developing algorithms for monitoring and classifying noise pollution using MATLAB, contributing to urban planning and public health. He has also explored traffic noise impacts on residential areas and mobile telecommunications in Libya. His diverse research interests extend to the design and implementation of communication systems, highlighting the integration of technology in environmental studies. Through these contributions, Albaji aims to enhance noise management and promote sustainable urban environments. 🌍📊🔊📡

Publication top notes

Investigation on Machine Learning Approaches for Environmental Noise Classifications

A Machine Learning for Environmental Noise Monitoring and Classification Using Matlab

Machine Learning for Environmental Noise Classification in Smart Cities

Designing the Global System for Mobile Communications GSM-900 Cellular Network up to the Nominal Cell Plan in Tripoli, Libya

Conclusion and Recommendations

A Review of Traffic Highway Noise Towards Residential Area

NOISE POLLUTION DATA REPORTING AND WAREHOUSING USING TABLEAU SOFTWARE

Designing and Implementing a Signed Multiplier Radix-2 Using Booth’s Algorithm

Theoklitos Karakatsanis | Engineering and Technology | Best Researcher Award

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Theoklitos Karakatsanis | Engineering and Technology | Best Researcher Award

Assist Prof Dr Theoklitos Karakatsanis, Democritus University of Thrace, Greece

Based on the information provided, Assist. Prof. Dr. Theoklitos Karakatsanis appears to be a strong candidate for the Best Researcher Award for several reasons:

Publication profile

google scholar

Academic Position

Currently, he serves as an Assistant Professor at the School of Engineering, Democritus University of Thrace (DUTH), focusing on Production Engineering and Management.

Professional Experience

Currently, he serves as an Assistant Professor at the School of Engineering, Democritus University of Thrace (DUTH), in the Department of Production Engineering and Management. His extensive experience includes years as a private consultant engineer and work as an Elevator Engineer since 1989.

Research Contributions

Focus Areas: His research interests in modeling and control of electric machines, energy production, and saving are highly relevant in today’s energy landscape, especially with the growing importance of renewable energy sources.

Publications: Dr. Karakatsanis has co-authored numerous publications in respected journals, with a focus on probabilistic load flow analysis and its applications in power systems. His work on integrating wind power into distribution systems is particularly noteworthy, as it addresses critical challenges in renewable energy management.

Research Interests

His research interests are centered around modeling and control of electric machines, production energy, and energy saving.

Impact and Collaborations

Collaborative Work: He has collaborated with recognized researchers, which strengthens the credibility and reach of his work. His participation in various conferences and publications demonstrates an active engagement in his field.

Practical Application: His extensive experience as a consultant engineer enhances the practical applicability of his research, bridging the gap between theory and real-world implementation.

Professional Affiliations

Membership: Being a member of IEEE and the Technical Chamber of Greece highlights his professional standing and commitment to ongoing professional development.

Conclusion

Given his strong academic credentials, impactful research contributions, and active involvement in the engineering community, Assist. Prof. Dr. Theoklitos Karakatsanis is a suitable candidate for the Best Researcher Award. His work not only contributes to academic knowledge but also offers practical solutions in energy management and sustainability.

Publication top notes

Probabilistic load flow in distribution systems containing dispersed wind power generation

Probabilistic constrained load flow based on sensitivity analysis

Voltage control settings to increase wind power based on probabilistic load flow

Probabilistic load flow for assessment of voltage instability

Distribution system voltage and reactive power control based on probabilistic load flow analysis

The effect of wind parks on the operation of voltage control devices

Probabilistic calculations of aggregate storage heating loads

Probabilistic constrained load flow for optimizing generator reactive power resources

A probabilistic approach to control variable adjustment for power system planning applications

Probabilistic cost allocation of losses in networks with dispersed renewable generation

 

Shah Faisal | Engineering and Technology | Best Researcher Award

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Shah Faisal | Engineering and Technology | Best Researcher Award

Mr Shah Faisal, Southeast University, China

Based on the information provided, Shah Faisal appears to be a suitable candidate for the Best Researcher Award. His strong academic background, including a Ph.D. in Electrical Engineering with a focus on Integrated Energy Systems and Power to Gas technologies, reflects a deep commitment to advancing research in critical areas such as renewable energy, electric vehicles, and energy system optimization. Below is an evaluation of his qualifications:

Publication profile

Orcid

Research Contributions

Shah Faisal has published impactful articles, including works on Integrated Energy Systems and Power to Gas Technology, which are crucial for modern energy infrastructure. His 2020 article in the European Journal of Electrical Engineering and Computer Science and the 2024 article in Energies both focus on emerging technologies for energy integration, highlighting his ongoing contribution to cutting-edge research.

Academic Excellence

Faisal holds a Ph.D. and Master’s in Electrical Engineering from Southeast University, China, with notable awards like the Nanjing Municipal Government Scholarship and the Chinese Government CSC Scholarship. These achievements underline his excellence in academia and his potential to continue making high-level research contributions.

Leadership and Editorial Roles

Faisal serves as an editor for several international journals, such as the European Journal of Engineering and Technology Research and the Journal of Electrical and Electronic Engineering. These editorial positions underscore his expertise in reviewing and curating quality research, enhancing his profile as a respected researcher in the field.

Work Experience and Applied Research

His professional background as an Assistant Plant Manager and Lecturer, combined with his technical expertise in systems like SCADA and PLC, showcase his ability to translate theoretical research into practical solutions. He has also worked on projects related to electric vehicle charging systems and grid station technologies, further emphasizing his research’s practical implications.

Professional Memberships

As a member of esteemed organizations like IEEE and the National Society of Professional Engineers, Faisal maintains a strong connection with the international research community, helping him stay at the forefront of innovations in energy and power systems.

Research focus

Shah Faisal’s research primarily focuses on integrated energy systems and the application of Power-to-Gas (PtG) technology. His work explores how PtG technology can convert surplus electrical energy, especially from renewable sources like wind and solar, into hydrogen or methane, which can be stored and utilized across energy sectors. This research promotes the decarbonization of energy systems, enhances energy storage, and strengthens energy grid flexibility. By integrating gas and electricity networks, his studies aim to develop sustainable and resilient energy infrastructure solutions for future smart grids. 🌍⚡🔋🌱💡

Conclusion

Shah Faisal’s qualifications and contributions make him a competitive candidate for the Best Researcher Award. His research in integrated energy systems, renewable energy technologies, and his editorial roles reflect a well-rounded researcher dedicated to impactful and innovative research in electrical engineering.

Publication top notes

A Comprehensive Review of Integrated Energy Systems Considering Power-to-Gas Technology

A Review of Integrated Energy System with Power to Gas Technology