Anas Abdelrahman | Engineering and Technology | Best Researcher Award

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Dr. Anas Abdelrahman | Engineering and Technology | Best Researcher Award

Dr. Anas Abdelrahman | Engineering and Technology | Assistant Professor of Mechanical Engineering | Egypt

Dr. Anas Mohamed Abdelrahman is an accomplished Assistant Professor of Mechanical Engineering at Future University in Egypt and a Post-Doctoral Fellow at Zhejiang University China. He holds a PhD in Thermal Power Engineering from Huazhong University of Science and Technology, and his research spans advanced topics such as hydrogen energy, cryogenics, thermal management, machine learning applications, and renewable energy systems. With over 20 publications in prestigious international journals, Dr. Abdelrahman has made significant contributions to intelligent modeling and optimization in energy systems. He has been recognized with multiple academic excellence awards and serves as a peer reviewer for top-tier journals, reflecting his academic influence. His international academic engagements and mentorship of engineering students demonstrate a commitment to both research and education, positioning him as a forward-looking and impactful researcher in the global mechanical and energy engineering community.

Professional Profile 

Education  

Dr. Anas Mohamed Abdelrahman has a strong academic foundation in mechanical and thermal engineering. He is currently a post-doctoral fellow at both Zhejiang University (ZJU) and Hangzhou City University (HZCU) in China, focusing on energy and cryogenic research. He earned his PhD in Thermal Power Engineering from the Department of Refrigeration and Cryogenics at Huazhong University of Science and Technology (HUST), Wuhan, China, where his research emphasized artificial intelligence modeling and scaling analysis for thermoacoustic systems. Prior to that, he completed his MSc in Design and Production Engineering at Ain Shams University, Cairo, Egypt, with a thesis centered on intelligent techniques in the wire EDM process. He also holds a BSc in Mechanical Power Engineering from Ain Shams University, graduating with a “Very Good” grade and an “Excellent” graduation project on central air conditioning system design. His academic journey reflects a continuous pursuit of interdisciplinary innovation in energy and thermal systems.

Professional Experience

Dr. Anas Mohamed Abdelrahman has amassed extensive professional experience in both academia and industry. He has been a faculty member in the Mechanical Engineering Department at Future University in Egypt (FUE), where he currently serves as an Assistant Professor. In parallel, he is a post-doctoral research fellow at Zhejiang University (ZJU) and Hangzhou City University (HZCU) in China, contributing to advanced research in cryogenics and hydrogen energy. He also held a short-term instructional position at the Public Authority for Applied Education and Training (PAAET) . Earlier in his career, he worked as a Production Planning Engineer at Elsewedy Cables Company in Cairo, Egypt. Dr. Abdelrahman’s career demonstrates a solid blend of teaching, research, and industrial expertise, with a focus on applying advanced thermal and energy systems research to real-world engineering challenges.

Research Interest

Dr. Anas Mohamed Abdelrahman’s research interests are deeply rooted in the fields of energy, thermal sciences, and intelligent engineering systems. His work spans a wide range of topics, including refrigeration and cryogenics, hydrogen energy, energy storage systems, and multilayer insulation materials. He is particularly focused on the application of artificial intelligence and machine learning for intelligent modeling and optimization in thermal and fluid systems. His research also explores thermoacoustics, pulsating heat pipes, heat transfer enhancement, waste heat recovery, and fluid-solid interactions. Additionally, he is actively involved in renewable energy applications such as solar energy management, solar chimney systems, and thermal management of electronic devices. Through this multidisciplinary approach, Dr. Abdelrahman aims to develop innovative, energy-efficient, and sustainable engineering solutions for emerging global challenges.

Award and Honor

Dr. Anas Mohamed Abdelrahman has received numerous awards and honors in recognition of his academic excellence and research contributions. He was honored with the Post-Doctoral Talent Recognition Certificate by Zhejiang University in China and received several Outstanding Academic Achievement Awards during his MSc, PhD, and undergraduate studies from institutions including Future University in Egypt and Huazhong University of Science and Technology (HUST), China. His PhD work also earned him the Outstanding Academic Excellence Award in Scientific Research at HUST, along with an honorary recognition for international PhD graduates. Additionally, Dr. Abdelrahman has been acknowledged for his service as a peer reviewer for leading international journals such as Applied Energy, International Journal of Hydrogen Energy, Energy, The Journal of the Acoustical Society of America, and Thermal Science and Engineering Progress, receiving honorary certificates . These accolades reflect his dedication to advancing engineering science and his standing in the global research community.

Publications Top Noted

Prediction of output power with artificial neural network using extended datasets for Stirling engines
Year: 2020 | Cited by: 61

Prediction of oscillatory heat transfer coefficient for a thermoacoustic heat exchanger through artificial neural network technique
Year: 2018 | Cited by: 59

Single-objective optimization for stack unit of standing wave thermoacoustic refrigerator through fruit fly optimization algorithm
Year: 2019 | Cited by: 27

Prediction of acoustic wave parameters of thermoacoustic prime mover through artificial neural network technique: Practical approach for thermoacoustics
Year: 2018 | Cited by: 15

Prediction of cooling load for a standing wave thermoacoustic refrigerator through artificial neural network technique
Year: 2017 | Cited by: 15

Prediction of pressure evolution in non-venting self-pressurized liquid hydrogen tanks using artificial neural network approach
Year: 2024 | Cited by: 10

Single-objective Optimization for Stack Unit of Standing Wave Thermoacoustic Refrigerator through Particle Swarm Optimization Method
Year: 2019 | Cited by: 10

Experimental and theoretical study on the optimal placement of reflective shield in multilayer insulation systems
Year: 2025 | Cited by: 3

IMPROVED PREDICTIONS OF ONSET TEMPERATURE IN TWIN THERMOACOUSTIC HEAT ENGINE BY NEURAL NETWORK BASED CALIBRATED THERMOACOUSTIC MODEL
Year: 2019 | Cited by: 3

Solar Chimney Power Plants: A Mini Review
Year: 2022 | Cited by: 2

Conclusion

Dr. Anas Mohamed Abdelrahman is highly suitable for the Best Researcher Award, particularly in fields related to mechanical engineering, energy systems, cryogenics, and intelligent modeling.

GULDANA MAKASHEVA | Engineering and Technology | Research Hypothesis Excellence Award

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GULDANA MAKASHEVA | Engineering and Technology | Research Hypothesis Excellence Award

Leading Research Scientist at LLP KazHydroMed, Kazakhstan

Mrs. Guldana Makasheva is a seasoned metallurgical researcher and Senior Research Scientist at LLP KazHydroMed, Kazakhstan. With over a decade of hands-on and theoretical experience across various roles in metallurgy, her expertise lies in flotation, hydrometallurgy, and the beneficiation of complex ores and industrial tailings. She is currently pursuing a Ph.D. in Metallurgy at Satbayev University and holds advanced degrees in Metallurgy and Organic Chemistry. Her career spans from laboratory chemist to lead engineer, demonstrating her adaptability and growth. Makasheva has authored numerous scientific publications in both national and international journals and has contributed to high-impact projects aimed at developing eco-friendly and efficient mineral processing technologies. Her research, marked by technical precision and practical relevance, has addressed pressing industrial challenges in Kazakhstan’s mining sector. With a strong foundation in hypothesis-driven experimentation, she exemplifies the principles celebrated by the Research Hypothesis Excellence Award.

Publication Profile

Orcid

Education

Mrs. Makasheva holds a Master’s degree in Technical Sciences with a specialization in Metallurgy and Mineral Processing from Satbayev University, one of Kazakhstan’s premier technical institutions. Her academic foundation began with a Bachelor’s in Chemistry of Organic Substances from Karaganda State University named after E.A. Buketov, where she gained solid grounding in analytical and synthetic chemistry. Continuing her academic journey, she is currently pursuing her Ph.D. in Metallurgy at Satbayev University (2023–present), focusing on advanced beneficiation techniques and processing of complex ore materials. Her academic background is complemented by specialized certifications, including a Certified PC User qualification and Accounting & 1C certification, highlighting her commitment to interdisciplinary skills. Her education has consistently supported her progression as a research leader in metallurgical science, emphasizing innovation, practical application, and publication in high-impact forums. 🎓📘🧪

Experience

Mrs. Guldana Makasheva’s professional trajectory reflects deep engagement with Kazakhstan’s metallurgical sector. Since 2021, she has served as a Senior Research Scientist at LLP KazHydroMed, where she designed cutting-edge research programs and executed pilot-scale tests in slag and ore processing. Earlier, as Lead Process Engineer at JSC “Zhairem GOK” (2020–2021), she worked on mineral flow diagrams and thickening technologies. At JSC “Varvarinskoye” (2011–2020), she ascended from Laboratory Chemist to Metallurgical Process Engineer, gaining end-to-end operational experience—from ore crushing to desorption and AAS/XRF analysis. Her earliest role was at the Institute of Organic Synthesis and Coal Chemistry, where she synthesized catalysts and conducted chromatographic studies. Each position honed her skills in technical reporting, pilot experiments, and project leadership, building a solid foundation for her present-day research excellence.

Awards and Honors

While specific national or international awards are not listed, Mrs. Guldana Makasheva’s consistent leadership in funded scientific projects and co-authorship of peer-reviewed publications signifies her recognition within the scientific community. Her appointment as Lead Investigator across multiple major projects—such as beneficiation of legacy tailings and development of flotation technologies—indicates institutional trust and high-level peer acknowledgment. She has also been a frequent contributor to SCOPUS-indexed and national journals, suggesting editorial confidence in her scientific rigor. As a Senior Research Scientist, she has been a key figure in government and industrial research initiatives, often coordinating multidisciplinary teams to address Kazakhstan’s critical metallurgical challenges. Her accolades are implicit in her elevation to senior scientific ranks and her pivotal roles in transformative projects. Her ongoing Ph.D. candidacy further reflects academic recognition and career progression.

Research Focus

Mrs. Makasheva’s research spans flotation chemistry, hydrometallurgical processing, ore beneficiation, and tailings revalorization. Her core investigations involve innovative techniques for processing refractory oxidized ores and polymetallic tailings, with special emphasis on flotation using hydroxamate-based collectors and gravity-flotation technologies. She has actively contributed to pilot testing for slag processing from metallurgical plants and has optimized concentrate thickening strategies. Her projects are critical to sustainable resource management, addressing legacy waste streams from major mining hubs like Balkhash and Zhezkazgan. Guldana also explores the oxidative-reductive potential in ore enrichment and thermochemical methods for improving flotation performance. Her current Ph.D. research likely intersects with these themes, pushing boundaries in extractive metallurgy. With a clear focus on bridging lab research with field applications, her work is both environmentally and economically transformative.

Publication Top Notes

Study of Oxidative–Reductive Potential Changes in the Enrichment of Oxidized Polymetallic Ores

Improving the Efficiency of Flotation Enrichment of Oxidized Lead-Zinc Ores Using Calcium Polysulfide

Study of Oxidative-Reductive Potential Changes in the Enrichment of Oxidized Polymetallic Ores

HYDROMETALLURGICAL PROCESSING OF MOLYBDENUM MIDDLINGS FROM SHATYRKUL-ZHAYSAN CLUSTER ORE,HIDROMETALURŠKA PRERADA SRASLAKA MOLIBDENA IZ RUDE ŠATIRKUL-ŽAJSAN KLASTERA

STUDIES ON EXTRACTION OF COPPER FROM SULFURIC ACID SOLUTION AFTER THERMOCHEMICAL ENRICHMENT OF ROUGH CONCENTRATE

Electrocatalytic reduction of quinoline and its oxy derivatives

Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

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Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

Dr Eduardo Garcia, Magraner Ford Motor Company, Spain

🔧 Dr. Eduardo García Magraner is a distinguished expert in industrial automation, manufacturing, and occupational safety. With a Ph.D. in Computer Engineering & Industrial Production (Cum Laude, CEU Cardenal Herrera, 2016) 🎓, he has led key roles at Ford Spain 🚗, from Electromechanical Maintenance to Manufacturing Manager. A Lean Six Sigma Black Belt ⚙️, he has earned multiple innovation and safety awards 🏆, including the Henry Ford Technical Award. A sought-after speaker 🎤 and researcher 📖, his contributions span Industry 4.0, predictive maintenance, and AI-driven efficiency. Passionate about smart factories 🏭, he bridges academia and industry for sustainable progress. 🌍

Publication Profile

Orcid

Academic and Professional Background 

Dr. Eduardo Garcia Magraner 🎓⚙️ is an expert in industrial engineering, automation, and occupational safety. His academic journey began with vocational training in electrical and telecommunications, followed by a Ph.D. in Computer Engineering and Industrial Production (2016) 🏅. Certified in Lean Six Sigma (Black Belt) and occupational risk prevention, he has mastered integrated management systems 🏭✅. With expertise in robotics 🤖, energy efficiency 🌱, and human resources 🤝, he has undertaken extensive additional training in automation and safety. His research explores machine deterioration and throughput optimization 📊. A leader in engineering and innovation, he continuously enhances industry standards 🚀.

Experience

Dr. Eduardo Garcia Magraner has built an impressive career at Ford S.L, starting as a First-Class Electromechanical Maintenance Operator (1990-2001) ⚙️. He advanced to Equipment Engineer (2001-2006) and later became a Maintenance Supervisor (2006) 🔩. His expertise led him to roles such as Senior Equipment Engineer in Maintenance & Automation (2007-2012) and Production Supervisor (2012) 🏭. He progressed to Manufacturing Manager for Body & Stamping (2014) and Champion of M.O.S. (2016) 🔧. As SPOC for Cyber Security (2019) and now Manufacturing Manager for Assembly & Battery Plants (2023), he continues shaping Ford’s production excellence ⚡🚗.

Awards and Recognitions 

Dr. Eduardo Garcia Magraner has been recognized for his outstanding contributions to safety, productivity, and innovation at Ford Spain 🚗🏆. His accolades include multiple Maximum Awards for enhancing press line efficiency (1997, 1999, 2002) and the prestigious Henry Ford Technical Award (2019) for IIoT-based predictive maintenance 🔧📊. He received honors for workplace safety (1995, 2010, 2012) and academic mentorship at the Polytechnic University of Valencia (2014) 🎓👏. His work in AI and cybersecurity earned global recognition (2019, 2020) 🤖🔐. A leader in industrial innovation, he continues to push the boundaries of engineering excellence 🚀⚙️.

Academic Impact 

Dr. Eduardo Garcia is a distinguished researcher in automation and smart manufacturing 🤖🏭. Beyond his groundbreaking research, he has delivered keynote presentations at global conferences, sharing insights on smart factories and AI-driven manufacturing 🔍🎤. His expertise has influenced industry advancements, making him a sought-after speaker in the field. In recognition of his contributions, he was honored with the prestigious CEU Ángel Herrera Prize in 2023 🏆🎓, further solidifying his reputation as a leading researcher. Through his work, Dr. Garcia continues to shape the future of industrial automation, bridging innovation and practical applications for smarter, more efficient production systems ⚙️🌍.

Presentation

Dr. Eduardo García is a distinguished expert in industrial robotics and Industry 4.0 🤖🏭, actively contributing to global conferences and forums. He has delivered impactful presentations at events like EVERii2020, PENTEO2020, and INNOVATION TALKS 2020, addressing smart manufacturing and supply chains 🚀📦. A sought-after speaker, he has shared insights at Advanced Factories, the Global Robot Expo, and the International Conference on Big Data, AI, and IoT 🌍📊. As a Master Professor at PEAKS BUSINESS SCHOOL, he fosters innovation in Industry 4.0. In 2023, he received the prestigious CEU Ángel Herrera Prize for outstanding research excellence 🏆📖.

Research Focus

Dr. Eduardo García Magraner’s research focuses on Industrial Internet of Things (IIoT) 🏭📡, smart manufacturing 🤖, and predictive maintenance 🔧⚙️ within Industry 4.0. His work includes real-time condition monitoring 🕒, virtual sensors 📊, and AI-driven automation 🤖🔍 to enhance efficiency in industrial environments. Key contributions involve sub-bottleneck detection 🚀, autonomous mobile warehouses 🚗🏭, and manufacturing process optimization 📈 using big data and simulation tools 📡💡. His research advances smart factory management 🏭💻, ensuring reliability, reducing downtime, and boosting productivity. His innovations drive next-gen industrial automation 🚀🏗️ for intelligent and self-optimizing manufacturing ecosystems.

Publication Top Notes

I3oT (Industrializable Industrial Internet of Things) Tool for Continuous Improvement in Production Line Efficiency by Means of Sub-Bottleneck Detection Method

Survival 1.0: A Novel Autonomous Industrial Mobile Warehouse (AIMW) for Industrial Environments

Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry

Influence of Mechanical Failures of the Welding Gun on the Magnetic Field Generated in the Measurement of Misalignment

Mini-Sym 4.0. a Novel Simulation Tool to Calculate Real-time Production Line Productivity

Miniterm, a Novel Virtual Sensor for Predictive Maintenance for the Industry 4.0 Era

Manufacturing Maps, a Novel Tool for Smart Factory Management Based on Petri Nets and Big Data Mini-Terms

Kong Yang | Humanities and Science Integration | Best Researcher Award

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Kong Yang | Humanities and Science Integration | Best Researcher Award

Prof Kong Yang, School of Health Management, Binzhou Medical University, China

Prof. Kong Yang (孔杨), born in 1981, is a dedicated CPC member, professor, and master’s supervisor at Binzhou Medical University 🎓. Holding a Ph.D. in Management from Nanjing University of Aeronautics and Astronautics, she specializes in health management and intelligent decision-making 🏥🤖. She’s a key figure in various academic societies and editorial boards 📊✍️. Prof. Kong has led 7+ national and provincial projects, published 20+ high-impact papers, and received numerous research and teaching awards 🏆. Passionate about education, she mentors students in innovative projects and academic competitions 💡🎯.

Publication Profile

Scopus

Academic Excellence

Prof. Kong Yang 🎓 holds a Ph.D. in Management Science and Engineering 📊. With extensive teaching experience, she has progressed from lecturer to full professor at Binzhou Medical University 🏛️. Throughout her academic journey, she has designed and taught multiple core courses 📚, reflecting her dedication to enhancing educational standards and fostering student growth 🌱. Her commitment to academic development is evident through her innovative teaching methods and curriculum design ✍️. Prof. Yang’s passion for knowledge and excellence continues to inspire both colleagues and students alike 🌟, making her a distinguished figure in the field of management science.

Experience

Prof. Kong Yang 📊 holds a Ph.D. in Management Science and Engineering from Nanjing University of Aeronautics and Astronautics (2016-2024), an M.Sc. in Probability Theory and Mathematical Statistics from Shandong University (2006-2009), and a B.Sc. in Mathematics and Applied Mathematics from Yantai Normal University (1999-2003) 🎓. His academic career at Binzhou Medical University spans from Lecturer (2009-2013) to Associate Professor (2014-2022), and currently as Professor since January 2023 👨‍🏫. With a strong background in mathematics and management science, Prof. Yang has significantly contributed to teaching and research, fostering academic excellence and innovation 📚✨.

Research Achievements

Prof. Kong Yang has led seven national and provincial-level projects, including prestigious National Natural Science Foundation initiatives 🎯🔬. She has actively contributed to numerous other research endeavors, showcasing her expertise in healthcare management and intelligent decision-making 🏥🤖. With nearly 20 high-impact papers published in CSSCI, SCI, and EI journals 📚📈, her work has significantly advanced the field. Her research integrates data-driven strategies to enhance healthcare efficiency and policy-making, bridging innovation and practical application 🚀💡. Through her dedication to academic excellence, she continues to shape the future of intelligent healthcare solutions on a global scale 🌍🏆.

Awards and Recognitions 🏆

Prof. Kong Yang is an accomplished academic with over 15 prestigious research awards, including the Shandong Province Teaching Achievement Award 🏆 and several social science excellence awards 📚. Her dedication to education and research has not only advanced her field but also inspired countless students 🌟. Through her exceptional mentorship, many of her students have excelled in national-level innovation and entrepreneurship competitions 🚀🎓. Prof. Kong’s commitment to academic excellence, innovative thinking, and student success continues to make a significant impact in both the academic and social science communities 🌍✨.

Research Projects

Prof. Kong Yang 📚 has made significant contributions to academic literature through his editorial and authorship roles. He authored “Collaboration and Win-Win: Common Development of Stakeholders in the Hierarchical Diagnosis and Treatment System” (Jilin University Press, 📖 ISBN 978-7-5692-6785-3, July 2020) and “Research on Accelerating the Integration of Medical and Nursing Care to Build a Healthy Shandong” (Shandong University Press, 🏥 ISBN 978-7-5607-6399-6, September 2019). As Associate Editor of “Chinese Biostatistical Tables” (China Statistics Press, 📊 ISBN 978-7-5037-8469-9, May 2018) and Chief Editor of “Advanced Mathematics” (Harbin Institute of Technology Press, 📐 ISBN 978-7-5603-5705-8, October 2021), he showcases his expertise in healthcare and mathematics. 🌟

Research Focus

Prof. Kong Yang’s research focuses on educational psychology 🎓🧠, specifically exploring teacher-student interactions and perception measurement in Chinese colleges. His work involves developing reliable and valid assessment scales 📏 to evaluate how students perceive differential teacher behaviors in academic settings. By examining these perceptions, Prof. Yang aims to understand the impact of teacher behavior on student motivation, engagement, and learning outcomes 📚💡. His studies contribute to improving teaching practices and fostering more effective educational environments within higher education institutions. This research bridges psychometrics and educational development, promoting better student-teacher dynamics. 🤝🏫

Publication Top Notes

Development of Chinese college students’ perception teacher differential behavior scale and its reliability and validity test

Mona AbouEleaz | Engineering and Technology | Best Researcher Award

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Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Mona AbouEleaz, Mansoura University, Egypt

Assoc. Prof. Dr. Mona AbouEleaz 🌍⚙️ is a distinguished academic in Production Engineering at Mansoura University, Egypt. With a Ph.D. in Production Engineering 🎓, her expertise spans Smart Manufacturing, Industry 4.0, Lean Six Sigma, and Quality Improvement approaches 📊. She has held roles as a postdoctoral researcher in Canada 🇨🇦 and visiting lecturer in the UK 🇬🇧. As the Executive Director of the University Center for Career Development, she fosters student growth 🚀. Dr. AbouEleaz has published extensively 📚, supervised over 35 projects 🛠️, and actively contributes to academic accreditation and international collaborations 🌐. She enjoys reading, drawing, sports, and traveling ✈️🎨.

Publication Profile

Google Scholar

Education

Assoc. Prof. Dr. Mona AbouEleaz holds a Ph.D. in Production Engineering from Mansoura University, Egypt (2010–2015), with a thesis titled “Lean Six Sigma Practices into an Organizational Quality Management System” 🎯📊. She earned her M.Sc. in Industrial Engineering from Alexandria University (2005–2008), focusing on “Hierarchic Framework for Quality Improvement Approaches” ⚙️📈. Dr. AbouEleaz also holds a B.Sc. in Production Engineering & Mechanical Design from Mansoura University, graduating with honors and ranking first in her class 🏅🎓. Her academic journey reflects a strong commitment to quality improvement, engineering excellence, and continuous innovation 🔍💡.

Experience

Assoc. Prof. Dr. Mona AbouEleaz is a distinguished academic with extensive experience in mechanical design and production engineering. She’s a lecturer at Mansoura University, Egypt 🇪🇬, and has served as a visiting lecturer at the University of Central Lancashire, UK 🇬🇧, and a postdoctoral researcher at the University of Calgary, Canada 🇨🇦. Dr. AbouEleaz excels in leadership roles, serving as Executive Director of the University Career Center and coordinating ERASMUS programs 🌍. Her contributions to strategic planning, quality assurance ✅, and international collaboration 🤝 have significantly advanced Mansoura University’s academic landscape.

Research Focus

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on advanced manufacturing processes, particularly in Wire Electrical Discharge Machining (WEDM) and material performance analysis. Her work explores surface roughness, material removal rates, and optimization of machining parameters for alloys like AISI304 and AISI316. She also delves into roundness measurement techniques, finite element analysis, and the impact of ERP systems on production efficiency. Additionally, her studies address supply chain performance and process improvement strategies in manufacturing. ⚙️🔩📊✨🔍

Research Interest

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on Smart Manufacturing and Industry 4.0 🚀🏭. She specializes in enhancing the performance of production and service systems through Quality Improvement approaches, including Lean Six Sigma 📊, optimization methods ⚙️, and Response Surface Methodology. Her expertise extends to Uncertainty Analysis, MCDM (Multi-Criteria Decision Making), and Decision Making Under Uncertainty 🤔. Dr. Mona also works on Measurement Uncertainty, Mechanical Testing 🧪, and utilizes tools like Minitab and ANSYS for statistical and engineering analysis. Her research aims to boost efficiency, precision, and decision-making in advanced manufacturing environments 🌟.

Publication Top Notes

Experimental investigation of surface roughness and material removal rate in wire EDM of stainless steel 304

Methods of roundness measurement: An experimental Comparative study

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

The Impact of Enterprise Resource Planning (ERP) Implementation on Performance of Firms: A Case to Support Production Process Improvement.

A critical review of supply chain performance evaluation

A study of drilling parameter optimization of functionally graded material steel–aluminum alloy using 3D finite element analysis

Automated Classification of Marble Types Using Texture Features and Neural Networks: A Robust Approach for Enhanced Accuracy and Reproducibility

Types Using Texture Features and Neural Networks: A Robust Approach

Investigating the Impact of Cutting Parameters on Roundness and Circular Runout Using Signal-to-noise Ratio Analysis

 

Asparuh Atanasov | Engineering and Technology | Innovative Research Award

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Asparuh Atanasov | Engineering and Technology | Innovative Research Award

Dr Asparuh Atanasov, Technical university Varna, Bulgaria

Dr. Asparuh Atanasov’s qualifications and contributions, he appears to be a suitable candidate for the Research for Innovative Research Award. Here’s an overview of his background and achievements, formatted into distinct sections:

Publication profile

google scholar

Education and Scientific Degrees

  • 2024: ONS Doctor, Technical University of Varna
    • Faculty: Mechanical Technology
    • Dissertation Topic: Investigating the applicability and effectiveness of sensor systems in precision agriculture
  • 2005: Master of Industrial Design, Technical University of Varna

Professional Experience

  • 2019 – Present: Assistant in Applied Mechanics, Dobrudja Technological College, Dobrich
    • Engaged in teaching and research activities within the field of applied mechanics.

Scientific and Teaching Activity

  • Research Projects: Participated in 17 research projects
  • Supervision of Students:
    • Head of Masters: 2 students
    • Doctoral Student Advisor: 1 student

Teaching Subjects

  • Theoretical Mechanics
  • Theory of Mechanisms and Machines
  • Resistance of Materials
  • Machine Elements
  • Fluid Mechanics
  • Interchangeability and Technical Measurements
  • Hydro and Pneumatic Drive in Agriculture
  • Practical Training
  • Agricultural Machinery 1 and 2
  • Livestock Machinery

Publishing Activity

  • Monographs and Books: Author of one monograph and one book
  • Scientific Publications: Author and co-author of 34 publications

Professional Memberships

  • Union of Scientists in Bulgaria: Member of the Dobrich branch

Publication top notes

Observation of the vegetation processes of agricultural crops using small unmanned aerial vehicles in Dobrudja region.

Study of the specifics of the spectral reflections of different varieties of cereals harvest 2021, obtained from the visible and near infrared (NIR) frequency range

Tracking The Development Of Six Wheat Varieties Using Infrared Imaging And Image Processing Algorithms

Applicability and efficiency of remote sensing of agricultural areas.

Cultivator-based soil density measurement method

Investigating the possibility of monitoring the drying in the upper soil layer by means of a drone in the Dobruja region

Applicability and Efficiency of Remote Monitoring of Agricultural Crops

Vegetation data processes, registered by remote sensing with a small aerial vehicle

Conclusion

Dr. Asparuh Atanasov’s extensive academic background, research contributions, and innovative work in the fields of applied mechanics and agricultural technology position him as a strong candidate for the Research for Innovative Research Award. His dedication to advancing precision agriculture through technology aligns with the award’s focus on innovation and research excellence.

 

 

Xiaolan Qiu | Engineering and Technology | Best Researcher Award

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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.

Publication top notes

An improved NLCS algorithm with capability analysis for one-stationary BiSAR

Some reflections on bistatic SAR of forward-looking configuration

Focusing of medium-earth-orbit SAR with advanced nonlinear chirp scaling algorithm

Synthetic aperture radar three-dimensional imaging——from TomoSAR and array InSAR to microwave vision

Preliminary exploration of systematic geolocation accuracy of GF-3 SAR satellite system

An Omega-K algorithm with phase error compensation for bistatic SAR of a translational invariant case

Urban 3D imaging using airborne TomoSAR: Contextual information-based approach in the statistical way

SRSDD-v1. 0: A high-resolution SAR rotation ship detection dataset

Projection shape template-based ship target recognition in TerraSAR-X images

A novel motion parameter estimation algorithm of fast moving targets via single-antenna airborne SAR system

 

 

Hypothesis Trailblazer Prize Award

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Hypothesis Trailblazer Prize Award

Introduction:

Welcome to the Hypothesis Trailblazer Prize Award, where innovation meets impact! We celebrate trailblazers who push the boundaries of knowledge and transform ideas into reality. Are you ready to blaze new trails with us?

About the Award:

The Hypothesis Trailblazer Prize Award recognizes individuals who demonstrate exceptional creativity, vision, and impact in their respective fields. It celebrates pioneers who challenge conventional thinking and inspire others to explore uncharted territories of knowledge. This award aims to honor those who not only generate groundbreaking ideas but also translate them into tangible solutions that address real-world challenges.

Eligibility:

  • Age Limit: Open to all age groups
  • Qualification: No specific qualification requirements; open to individuals from diverse backgrounds
  • Publications: Not mandatory, but applicants may submit relevant publications to support their work
  • Requirements: Applicants must demonstrate innovative thinking and significant impact in their field

Evaluation Criteria:

Submissions will be evaluated based on the following criteria:

  1. Innovation and creativity
  2. Impact and significance of the work
  3. Originality and novelty of ideas
  4. Potential for future growth and development

Submission Guidelines:

  • Applicants should submit a detailed biography highlighting their achievements and contributions.
  • An abstract summarizing their trailblazing work and its impact.
  • Supporting files, such as publications, patents, or project documentation, may be included.
  • All submissions must be sent through the official submission portal by the deadline.

Recognition:

Recipients of the Hypothesis Trailblazer Prize Award will receive:

  • A prestigious award trophy
  • Recognition in prominent publications and media outlets
  • Networking opportunities with leading professionals in their field
  • A cash prize to further support their research or initiatives

Community Impact:

The Hypothesis Trailblazer Prize Award not only celebrates individual achievements but also fosters a community of trailblazers who collaborate, inspire, and drive positive change together. Recipients are encouraged to share their knowledge and experiences to empower the next generation of innovators.